Publications

Research record

228

publications from AIFS research since 2020

From crop breeding and food safety to food processing and diet-health modeling.

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npj Science of Food · 2026

From Metabolomics Dark Matter to Bioactivity: a Computational Framework for Prioritizing Food-derived Bioactive Compounds

Pranav Gupta, Michael Gunning, Selena Ahmed and 1 more

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141

journals, conferences and publishers

AIFS authors

108

AIFS researchers and students on the author lists

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202625 publications

Journal Article · Computer-Aided Civil and Infrastructure Engineering · 2026
Decision-oriented Computational Framework for Drought Hazard-state Classification with a California Case Study
Hu, Fan and Khalid M Mosalam
Paper page for Decision-oriented computational framework for drought hazard-state classification with a California case study PDF of Decision-oriented computational framework for drought hazard-state classification with a California case study DOI 10.1016/j.cacaie.2026.100166
Journal Article · Physics in Medicine & Biology · 2026
Photon Counting Multi-spectral X-ray Computed Tomography of Multi-component Cryoprotectant Diffusion Into Tissue Surrogate
Ali, Alaa M, Jason Parker, Anthony N Consiglio, Brooke Chang, Linnea Warburton, Boris Rubinsky, and Simo A Mäkiharju
Paper page for Photon counting multi-spectral x-ray computed tomography of multi-component cryoprotectant diffusion into tissue surrogate PDF of Photon counting multi-spectral x-ray computed tomography of multi-component cryoprotectant diffusion into tissue surrogate DOI 10.1088/1361-6560/aea519
FeaturedJournal Article · npj Science of Food · 2026
From Metabolomics Dark Matter to Bioactivity: a Computational Framework for Prioritizing Food-derived Bioactive Compounds
Gupta, Pranav, Michael Gunning, Selena Ahmed, and Ilias Tagkopoulos
Paper page for From metabolomics dark matter to bioactivity: a computational framework for prioritizing food-derived bioactive compounds PDF of From metabolomics dark matter to bioactivity: a computational framework for prioritizing food-derived bioactive compounds DOI 10.1038/s41538-026-01066-1
Journal Article · Current Research in Food Science · 2026
Predicting Food Taste with Bound-driven Optimization
Tagkopoulos, Pagkratios, Dimitris Sfondilis, Ilias Tagkopoulos, and Tarek I Zohdi
Paper page for Predicting food taste with bound-driven optimization DOI 10.1016/j.crfs.2026.101533
Preprint · BioRxiv · 2026
Genetic Mapping and Genomic Prediction for Agronomic, Grain Compositional, and Sensing-enabled Traits in a Cowpea MAGIC Population Along an Environmental Gradient
Berlingeri, Jonathan, Sassoum Lo, Margaret Riggs, Heesup Yun, Hamid Kamangir, Earl Ranario, Isaac K Uyehara, Ismael Mayanja, Astrid Lao, Isaac Dramadri, Patrick Ongom, Ousmane Boukar, Antonia Palkovic, Brian N Bailey, Mason Earles, Bao-Lam Huynh, and Christine H Diepenbrock
Paper page for Genetic mapping and genomic prediction for agronomic, grain compositional, and sensing-enabled traits in a cowpea MAGIC population along an environmental gradient DOI 10.64898/2026.08.04.742818
Preprint · arXiv · 2026
Can Synthetic Data Overcome the Generalization Limits of AI-Based Flower and Pod Detection Across Cowpea Breeding Genotypes and Environments?
Kamangir, Hamid, Jonathan Berlingeri, Earl Ranario, Isaac K Uyehara, Lars Lundqvist, Heesup Yun, Christine H Diepenbrock, Brian N Bailey, and Mason Earles
Paper page for Can Synthetic Data Overcome the Generalization Limits of AI-Based Flower and Pod Detection Across Cowpea Breeding Genotypes and Environments?PDF of Can Synthetic Data Overcome the Generalization Limits of AI-Based Flower and Pod Detection Across Cowpea Breeding Genotypes and Environments?DOI 10.48550/arXiv.2607.28796
Preprint · SSRN · 2026
Characteristics of Peer-Reviewed Digital Tools for Modeling Food Safety Microorganisms: A Scoping Review
Kalunga, Linda, Sophia Ruser, Amelia Nelson, Sebastian Llanos, Chenhao Qian, Lily Grover, Sarah I. Murphy, Martin Wiedmann, and Renata Ivanek
Paper page for Characteristics of Peer-Reviewed Digital Tools for Modeling Food Safety Microorganisms: A Scoping Review DOI 10.2139/ssrn.7163078
Journal Article · Current Research in Food Science · 2026
Computational Optimization of Food Formulation and Extrusion Conditions for Nutritional Quality and Antioxidant Capacity
Zhou, Xu (Peter), Keer Ni, Pranav Gupta, and Ilias Tagkopoulos
Paper page for Computational optimization of food formulation and extrusion conditions for nutritional quality and antioxidant capacity PDF of Computational optimization of food formulation and extrusion conditions for nutritional quality and antioxidant capacity DOI 10.1016/j.crfs.2026.101509
FeaturedJournal Article · Nature Communications · 2026
Discovery of Potent Low-toxicity Antimicrobial Peptides Through Diffusion Modeling
Markakis, Konstantinos, Shanghyeon Kim, Cheng-En Tan, and Ilias Tagkopoulos
Paper page for Discovery of potent low-toxicity antimicrobial peptides through diffusion modeling DOI 10.1038/s41467-026-75030-8
FeaturedJournal Article · Nature Food · 2026
Artificial Intelligence for Food Innovation
Datta, Bianca, Markus Buehler, Yvonne Chow, Kristina Gligorić, Dan Jurafsky, David L Kaplan, Rodrigo Ledesma-Amaro, Giorgia D Missier, Lisa Neidhardt, Karim Pichara, Benjamin Sanchez-Lengeling, Miek Schlangen, Skyler Pierre, Ilias Tagkopoulos, Anna Thomas, Nik Watson, and Ellen Kuhl
Paper page for Artificial intelligence for food innovation DOI 10.1038/s43016-026-01380-7
FeaturedJournal Article · npj Science of Food · 2026
Perceptions of Voluntary Horizontal Confidential Food Safety Data Sharing: an Exploratory Interview Study with Food Industry Leadership
Kalunga, Linda, Katherine Koebel, Carrie S Alexander, Martin Wiedmann, Aaron Smith, Aaron Adalja, and Renata Ivanek
Paper page for Perceptions of voluntary horizontal confidential food safety data sharing: an exploratory interview study with food industry leadership DOI 10.1038/s41538-026-00939-9
Journal Article · Frontiers in Sustainable Food Systems · 2026
Birds of a Feather: Environmental Insights From a Review of Global Broiler Chicken Production
Risner, Derrick, Fangzhou Li, Justin Siegel, Ilias Tagkopoulos, Mariana Gardner, and Edward S Spang
Paper page for Birds of a feather: environmental insights from a review of global broiler chicken production DOI 10.3389/fsufs.2026.1641029
Journal Article · PLOS Digital Health · 2026
Translating Dietary Standards Into Healthy Meals with Few-ingredient Substitutions
Chan, Trevor and Ilias Tagkopoulos
Paper page for Translating dietary standards into healthy meals with few-ingredient substitutions DOI 10.1371/journal.pdig.0001367
Journal Article · Food Research International · 2026
Artificial Intelligence for Plant-based Meat Alternatives: Pathways to a Sustainable Future
Aghagholizadeh, Roya, Mohammad Tarahi, Pranav Gupta, Manisha Singh, Ilias Tagkopoulos, and Mina Dokouhaki
Paper page for Artificial intelligence for plant-based meat alternatives: Pathways to a sustainable future DOI 10.1016/j.foodres.2026.119563
Journal Article · Archives of Computational Methods in Engineering · 2026
Optimizing Irrigation and Fertilization Strategies for Crop Growth: A Comparative Study of Genetic Algorithm and Model Predictive Control Under Weather Uncertainty
Becker, Carla and Tarek I Zohdi
Paper page for Optimizing Irrigation and Fertilization Strategies for Crop Growth: A Comparative Study of Genetic Algorithm and Model Predictive Control Under Weather Uncertainty DOI 10.1007/s11831-026-10640-5
Conference Article · Conference on Computer Vision and Pattern Recognition · 2026
Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection
Lundqvist, Lars , Earl Ranario, Hamid Kamangir, Heesup Yun, Christine H Diepenbrock, Brian N Bailey, and Mason Earles
Paper page for Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection PDF of Does Your VFM Speak Plant? The Botanical Grammar of Vision Foundation Models for Object Detection DOI 10.48550/arXiv.2604.09920
Journal Article · Journal of Food Protection · 2026
Active Learning Models to Screen Articles As Part of a Systematic Review of Literature on Digital Tools in Food Safety
Wu, Tyler, Sophia Ruser, Linda Kalunga, and Renata Ivanek
Paper page for Active Learning Models to Screen Articles as Part of a Systematic Review of Literature on Digital Tools in Food Safety DOI 10.1016/j.jfp.2025.100488
Journal Article · Frontiers for Young Minds · 2026
How Safe Is Too Safe When It Comes to Our Food?
Wiedmann, Martin and Sriya Sunil
Paper page for How Safe is Too Safe When it Comes to Our Food?PDF of How Safe is Too Safe When it Comes to Our Food?DOI 10.3389/frym.2026.1799945
Journal Article · Frontiers in Science · 2026
Balancing Food Safety and Sustainability: Trade-off Risk Assessments and Predictive Modeling
Wiedmann, Martin, Sriya Sunil, Andrea Moreno-Switt, Kitiya Vongkamjan, and Sophia Johler
Paper page for Balancing food safety and sustainability: trade-off risk assessments and predictive modeling DOI 10.3389/fsci.2026.1720772
FeaturedJournal Article · npj Science of Food · 2026
AI-driven Prediction of Consumer Liking of Coffee From Sensory Data
Gunning, Michael, Maite Laforgue, Jean-Xavier Guinard, and Ilias Tagkopoulos
Paper page for AI-driven prediction of consumer liking of coffee from sensory data DOI 10.1038/s41538-026-00779-7
Journal Article · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2026
CMAViT: Integrating Climate, Management, and Remote Sensing Data for Crop Yield Prediction With Multimodel Vision Transformers
Kamangir, Hamid, Brent S Sams, Nick Dokoozlian, Luis Sanchez, and Mason Earles
Paper page for CMAViT: Integrating Climate, Management, and Remote Sensing Data for Crop Yield Prediction With Multimodel Vision Transformers PDF of CMAViT: Integrating Climate, Management, and Remote Sensing Data for Crop Yield Prediction With Multimodel Vision Transformers DOI 10.1109/jstars.2026.3669511
Journal Article · Spectrochimica Acta Part B: Atomic Spectroscopy · 2026
A Monte Carlo–driven Genetic Algorithm and Digital Twin Approach for Quantitative X-ray Fluorescence Spectroscopy
O’Brien, Allison, Samuel Webb, and Rebecca Abergel
Paper page for A Monte Carlo–driven genetic algorithm and digital twin approach for quantitative X-ray fluorescence spectroscopy DOI 10.1016/j.sab.2025.107428
Preprint · arXiv · 2026
Quantifying Diffusion With Photon Counting Multi-Spectral X-ray Computed Tomography
Ali, Alaa M, Jason Parker, Anthony N Consiglio, Brooke Chang, Linnea Warburton, Boris Rubinsky, and Simo A Mäkiharju
Paper page for Quantifying Diffusion With Photon Counting Multi-Spectral X-ray Computed Tomography Project for Quantifying Diffusion With Photon Counting Multi-Spectral X-ray Computed Tomography DOI 10.48550/arxiv.2602.07003
FeaturedJournal Article · npj Science of Food · 2026
A Unified Knowledge Graph Linking Foodomics to Chemical-disease Networks and Flavor Profiles
Li, Fangzhou, Jason Youn, Kaichi Xie, Trevor Chan, Pranav Gupta, Arielle Yoo, Michael Gunning, Keer Ni, and Ilias Tagkopoulos
Paper page for A unified knowledge graph linking foodomics to chemical-disease networks and flavor profiles DOI 10.1038/s41538-025-00680-9
Journal Article · Current Research in Food Science · 2026
Single Nucleotide Polymorphism Information Estimates Breed and Variety Composition Ratio in Food
Tan, Cheng-En and Ilias Tagkopoulos
Paper page for Single nucleotide polymorphism information estimates breed and variety composition ratio in food DOI 10.1016/j.crfs.2026.101312

202539 publications

Preprint · arXiv · 2025
Are Vision-language Models Ready to Zero-shot Replace Supervised Classification Models in Agriculture?
Ranario, Earl and Mason Earles
Paper page for Are vision-language models ready to zero-shot replace supervised classification models in agriculture?PDF of Are vision-language models ready to zero-shot replace supervised classification models in agriculture?DOI 10.48550/arXiv.2512.15977
FeaturedJournal Article · npj Science of Food · 2025
Deep Learning Enabled Rapid Detection of Live Bacteria in the Presence of Food Debris
Park, Hyeon W, Zhengao Li, Luyao Ma, and Nitin Nitin
Paper page for Deep learning enabled rapid detection of live bacteria in the presence of food debris Project for Deep learning enabled rapid detection of live bacteria in the presence of food debris DOI 10.1038/s41538-025-00636-z
Journal Article · Communications of the ACM · 2025
Advancing AI in Agriculture Through Large-Scale Collaborative Research
Adve, Vikram, Steve Brown, Alan Fern, Baskar Ganapathysubramanian, Ananth Kalyanaraman, Shashi Shekhar, Ilias Tagkopoulos, and Jessica Wedow
Paper page for Advancing AI in Agriculture through Large-Scale Collaborative Research DOI 10.1145/3760437
Preprint · AIFS White Paper · 2025
The Future of Food: How Artificial Intelligence Is Transforming Food Manufacturing
Zhou, Xu (Peter), Ivor Prado, AIFPDS Participants, and Ilias Tagkopoulos
Paper page for The Future of Food: How Artificial Intelligence is Transforming Food Manufacturing DOI 10.48550/arXiv.2511.15728
Journal Article · Computers and Electronics in Agriculture · 2025
Vision-based Navigation of Unmanned Aerial Vehicles in Orchards: An Imitation Learning Approach
Wei, Peng, Prabhash Ragbir, Stavros G Vougioukas, and Zhaodan Kong
Paper page for Vision-based navigation of unmanned aerial vehicles in orchards: An imitation learning approach DOI 10.1016/j.compag.2025.110802
Journal Article · Computer Methods in Applied Mechanics and Engineering · 2025
Multi-objective Mission Planning for Solar Sails and Swarm Networks
Sedky, Mostafa, Maya Horii, Tommy Hosmer, Kristofer Pister, and Tarek I Zohdi
Paper page for Multi-objective mission planning for solar sails and swarm networks DOI 10.1016/j.cma.2025.118247
Journal Article · Computers and Electronics in Agriculture · 2025
Vision-based Navigation of Unmanned Aerial Vehicles in Orchards: An Imitation Learning Approach
Wei, Peng, Prabhash Ragbir, Stavros G Vougioukas, and Zhaodan Kong
Paper page for Vision-based navigation of unmanned aerial vehicles in orchards: An imitation learning approach PDF of Vision-based navigation of unmanned aerial vehicles in orchards: An imitation learning approach Project for Vision-based navigation of unmanned aerial vehicles in orchards: An imitation learning approach DOI 10.1016/j.compag.2025.110802
Journal Article · Drones · 2025
A Tactile Feedback Approach to Path Recovery After High-Speed Impacts for Collision-Resilient Drones
Bredenbeck, Anton, Teaya Yang, Salua Hamaza, and Mark Mueller
Paper page for A Tactile Feedback Approach to Path Recovery after High-Speed Impacts for Collision-Resilient Drones PDF of A Tactile Feedback Approach to Path Recovery after High-Speed Impacts for Collision-Resilient Drones DOI 10.3390/drones9110758
Journal Article · Journal of Food Protection · 2025
Farm-to-consumer Quantitative Microbial Risk Assessment Model for Listeria Monocytogenes on Fresh-cut Cantaloupe
Murphy, Sarah I. , Ece Bulut, Laura K Strawn, Michelle Danyluk, Martin Wiedmann, and Renata Ivanek
Paper page for Farm-to-consumer quantitative microbial risk assessment model for Listeria monocytogenes on fresh-cut cantaloupe Project for Farm-to-consumer quantitative microbial risk assessment model for Listeria monocytogenes on fresh-cut cantaloupe DOI 10.1016/j.jfp.2025.100626
Conference Article · Institute for Food Safety and Nutrition Security · 2025
Controlling Risky Salmonella in Poultry: Illustrating Data Access Issues. Advancing Food Safety: The Data Culture Imperative Meeting.
Stasiewicz, Matt
Project for Controlling Risky Salmonella in Poultry: Illustrating Data Access Issues. Advancing Food Safety: The Data Culture Imperative Meeting.
Journal Article · The Journal of Open Source Software · 2025
Hashin_shtrikman_mp: a Package for the Optimal Design and Discovery of Multi-phase Composite Materials
Becker, Carla, Hrushikesh Sahasrabuddhe, Max Gallant, Anubhav Jain, Kristin Persson, and Tarek I Zohdi
Paper page for hashin_shtrikman_mp: a package for the optimal design and discovery of multi-phase composite materials DOI 10.21105/joss.08412
Conference Article · IFAC Conference on Sensing, Control and Automation Technologies for Agriculture · 2025
AgriNav: UAV Simulator for Vision-based Navigation in Agricultural Environments
Yang, Teaya and Mark Mueller
PDF of AgriNav: UAV Simulator for Vision-based Navigation in Agricultural Environments
Journal Article · Frontiers in Artificial Intelligence · 2025
Enhancing AI Microscopy for Foodborne Bacterial Classification Using Adversarial Domain Adaptation to Address Optical and Biological Variability
Bhattacharya, Siddhartha, Aarham Wasit, Mason Earles, Nitin Nitin, and Jiyoon Yi
Paper page for Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variability PDF of Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variability DOI 10.3389/frai.2025.1632344
Journal Article · Theoretical and Applied Genetics · 2025
Integration of Crop Modeling and Sensing Into Molecular Breeding for Nutritional Quality and Stress Tolerance
Berlingeri, Jonathan, Abelina Fuentes, Earl Ranario, Heesup Yun, Ellen Rim, Oscar Garrett, Alexander Howard, Mary-Francis LaPorte, Sassoum Lo, Duke Pauli, Jenna Hershberger, Mason Earles, Allen Van Deynze, Charlie Brummer, Richard Michelmore, Christopher Wong, Troy Magney, Pamela Ronald, Daniel Runcie, Brian N Bailey, and Christine H Diepenbrock
Paper page for Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance DOI 10.1007/s00122-025-04984-y
Journal Article · Scientific Reports · 2025
Risk Assessment of Escherichia Coli O157:H7 Along the Farm-to-fork Fresh-cut Romaine Lettuce Supply Chain
Bulut, Ece, Sarah I. Murphy, Laura K Strawn, Michelle Danyluk, Martin Wiedmann, and Renata Ivanek
Paper page for Risk assessment of Escherichia coli O157:H7 along the farm-to-fork fresh-cut romaine lettuce supply chain Project for Risk assessment of Escherichia coli O157:H7 along the farm-to-fork fresh-cut romaine lettuce supply chain DOI 10.1038/s41598-025-14501-2
Journal Article · The Plant Phenome Journal · 2025
Do Not Benchmark Phenomic Prediction Against Genomic Prediction Accuracy
Wang, Fangyi, Mitchell Feldmann, and Daniel Runcie
Paper page for Do not benchmark phenomic prediction against genomic prediction accuracy DOI 10.1002/ppj2.70029
Preprint · Research Square · 2025
Minimizing Threats Through Responsible Voluntary Confidential Food Safety Data Sharing: Insights From Food Industry Leaders
Kalunga, Linda, Katherine Koebel, Carrie S Alexander, Martin Wiedmann, Aaron Smith, Aaron Adalja, and Renata Ivanek
Paper page for Minimizing Threats Through Responsible Voluntary Confidential Food Safety Data Sharing: Insights from Food Industry Leaders PDF of Minimizing Threats Through Responsible Voluntary Confidential Food Safety Data Sharing: Insights from Food Industry Leaders Project for Minimizing Threats Through Responsible Voluntary Confidential Food Safety Data Sharing: Insights from Food Industry Leaders DOI 10.21203/rs.3.rs-6960610/v1
Journal Article · Computer Methods in Applied Mechanics and Engineering · 2025
A Machine-learning Enabled Digital-twin Framework for Tactical Drone-swarm Design
Zohdi, Tarek I
Paper page for A machine-learning enabled digital-twin framework for tactical drone-swarm design DOI 10.1016/j.cma.2025.117999
Conference Article · Nuclear Data for Science and Technology Conference · 2025
Optimizing XRF Spectroscopy with Fast Monte Carlo Simulations and Machine Learning for Advanced Nuclear Applications
O’Brien, Allison and Rebecca Abergel
Journal Article · Current Research in Food Science · 2025
A Systematic Review of Data and Models for Predicting Food Flavor and Texture
Gunning, Michael and Ilias Tagkopoulos
Paper page for A systematic review of data and models for predicting food flavor and texture PDF of A systematic review of data and models for predicting food flavor and texture DOI 10.1016/j.crfs.2025.101127
Conference Article · International Conference on Multimedia Information Processing and Retrieval · 2025
FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization
Son, Ha M, Shahbaz Rezaei, and Xin Liu
Paper page for FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization Project for FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization DOI 10.48550/arXiv.2506.20841
Conference Article · Computer Vision and Pattern Recognition · 2025
AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification
Ranario, Earl, Lars Lundqvist, Heesup Yun, Brian N Bailey, and Mason Earles
Paper page for AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification DOI 10.1109/CVPRW67362.2025.00536
Conference Article · International Conference on Data Mining Workshops · 2025
On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models
Rezaei, Shahbaz, Avishai Halev, and Xin Liu
Paper page for On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models Project for On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models DOI 10.48550/arXiv.2506.03267
Journal Article · Journal of the Academy of Nutrition and Dietetics · 2025
Machine Learning With Ingredient-Level Food Trees Reveals Contributors to Systemic Inflammation Among Adults in the National Health and Nutrition Examination Survey, 2001-2010 and 2015-2018
Larke, Jules A and Danielle G Lemay
Paper page for Machine Learning With Ingredient-Level Food Trees Reveals Contributors to Systemic Inflammation Among Adults in the National Health and Nutrition Examination Survey, 2001-2010 and 2015-2018 DOI 10.1016/j.jand.2025.05.012
Conference Article · International Conference on Robotics and Automation · 2025
Towards Safe and Efficient Through-the-Canopy Autonomous Fruit Counting with UAVs
Yang, Teaya, Roman Ibrahimov, and Mark Mueller
Paper page for Towards Safe and Efficient Through-the-Canopy Autonomous Fruit Counting with UAVs PDF of Towards Safe and Efficient Through-the-Canopy Autonomous Fruit Counting with UAVs DOI 10.1109/ICRA55743.2025.11127839
Conference Article · International Conference on Learning Representations · 2025
Gen2seg: Generative Models Enable Generalizable Instance Segmentation
Pirsiavash, Hamed and Om Khangaonkar
Paper page for gen2seg: Generative Models Enable Generalizable Instance Segmentation
Conference Article · International Conference on Data Mining Workshops · 2025
Implet: A Post-hoc Subsequence Explainer for Time Series Models
Meng, Fanyu, Ziwen Kan, Shahbaz Rezaei, Zhaodan Kong, Xin Chen, and Xin Liu
Project for Implet: A Post-hoc Subsequence Explainer for Time Series Models DOI 10.48550/arXiv.2505.08748
Journal Article · Applied Intelligence · 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
Liu, Yongshuai and Xin Liu
Paper page for Adventurer: exploration with BiGAN for deep reinforcement learning Project for Adventurer: exploration with BiGAN for deep reinforcement learning DOI 10.1007/s10489-025-06600-4
Journal Article · Food Chemistry · 2025
Development of a Comprehensive Food Glycomic Database and Its Application: Associations Between Dietary Carbohydrates and Insulin Resistance
Suarez, Christopher, Shawn E Cheang, Jules A Larke, Jiani Jiang, Cheng-Yu C Weng, Aaron Stacy, Garret Couture, Ye Chen, Nikita P Bacalzo, Jennifer T Smilowitz, Bruce German, David A Mills, Danielle G Lemay, and Carlito B Lebrilla
Paper page for Development of a comprehensive food glycomic database and its application: Associations between dietary carbohydrates and insulin resistance DOI 10.1016/j.foodchem.2025.142977
Journal Article · International Journal of Applied Earth Observation and Geoinformation · 2025
Predicting Crop Yield Lows Through the Highs Via Binned Deep Imbalanced Regression: A Case Study on Vineyards
Kamangir, Hamid, Brent S Sams, Nick Dokoozlian, Luis Sanchez, and Mason Earles
Paper page for Predicting crop yield lows through the highs via binned deep imbalanced regression: A case study on vineyards PDF of Predicting crop yield lows through the highs via binned deep imbalanced regression: A case study on vineyards DOI 10.1016/j.jag.2025.104536
Journal Article · Scientific Reports · 2025
An Agent-based Model of COVID- 19 in the Food Industry for Assessing Public Health and Economic Impacts of Infection Control Strategies
Henry, Christopher, Ece Bulut, Sarah I. Murphy, Aaron Adalja, Diane Wetherington, Martin Wiedmann, Samuel Alcaine, and Renata Ivanek
Paper page for An agent-based model of COVID- 19 in the food industry for assessing public health and economic impacts of infection control strategies DOI 10.1038/s41598-025-97076-2
Preprint · arXiv · 2025
SkillFlow: Scalable and Efficient Agent Skill Retrieval System
Li, Fangzhou, Pagkratios Tagkopoulos, and Ilias Tagkopoulos
Paper page for SkillFlow: Scalable and Efficient Agent Skill Retrieval System PDF of SkillFlow: Scalable and Efficient Agent Skill Retrieval System DOI 10.48550/arxiv.2504.06188
Journal Article · Computer Vision and Pattern Recognition · 2025
INatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species
Jain, Naitik, Amogh Joshi, and Mason Earles
Paper page for iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species DOI 10.48550/arXiv.2503.20068
Journal Article · Computers and Electronics in Agriculture · 2025
Integrating Hyperspectral Radiative Transfer Modeling and Machine Learning for Enhanced Nitrogen Sensing in Almond Leaves
Chakraborty, Momtanu, Alireza Pourreza, Sirapoom Peanusaha, Parastoo Farajpoor, Sat Khalsa, and Patrick H Brown
Paper page for Integrating hyperspectral radiative transfer modeling and Machine learning for enhanced nitrogen sensing in almond leaves DOI https://doi.org/10.1016/j.compag.2025.110195
Journal Article · Computer Methods in Applied Mechanics and Engineering · 2025
A Machine-learning Enabled Digital-twin Framework for Tactical Drone-swarm Design
Zohdi, Tarek I
Paper page for A machine-learning enabled digital-twin framework for tactical drone-swarm design DOI 10.1016/j.cma.2025.117999
Journal Article · Advanced Sensor Research · 2025
Fully‐Printed Ion Sensor Arrays for Measuring Agricultural Nitrogen and Potassium Concentrations Using Nernstian and AI Models
Goodrich, Payton, Nithila Poongovan, Elliot Strand, Carolyn Schwendeman, Lucas Lahann, Sophia Koh, Yuting Cai, Carol L Baumbauer, Anju Toor, Gregory Whiting, and Ana C Arias
Paper page for Fully‐Printed Ion Sensor Arrays for Measuring Agricultural Nitrogen and Potassium Concentrations Using Nernstian and AI Models PDF of Fully‐Printed Ion Sensor Arrays for Measuring Agricultural Nitrogen and Potassium Concentrations Using Nernstian and AI Models DOI 10.1002/adsr.202400121
Journal Article · Machine Learning · 2025
An Empirical Study on Impact of Label Noise on Synthetic Tabular Data Generation
Kim, Jeonghoon, Chao Huang, and Xin Liu
Paper page for An empirical study on impact of label noise on synthetic tabular data generation PDF of An empirical study on impact of label noise on synthetic tabular data generation DOI 10.1007/s10994-024-06629-5
Journal Article · Journal of Food Protection · 2025
Initializing a Public Repository for Hosting Benchmark Datasets to Facilitate Machine Learning Model Development in Food Safety
Qian, Chenhao, Huan Yang, Jayadev Acharya, Jingqiu Liao, Renata Ivanek, and Martin Wiedmann
Paper page for Initializing a public repository for hosting benchmark datasets to facilitate machine learning model development in food safety DOI 10.1016/j.jfp.2025.100463
Journal Article · Food Research International · 2025
Deep Learning Enabled Rapid Classification of Yeast Species in Food by Imaging of Yeast Microcolonies
Park, Hyeon W, Mason Earles, and Nitin Nitin
Paper page for Deep learning enabled rapid classification of yeast species in food by imaging of yeast microcolonies Project for Deep learning enabled rapid classification of yeast species in food by imaging of yeast microcolonies DOI 10.1016/j.foodres.2024.115604

202450 publications

Journal Article · ACS Food Science & Technology · 2024
Environmental Impacts of Cultured Meat: A Cradle-to-Gate Life Cycle Assessment
Risner, Derrick, Patrick Negulescu, Yoonbin Kim, Cuong Nguyen, Justin Siegel, and Edward S Spang
Paper page for Environmental Impacts of Cultured Meat: A Cradle-to-Gate Life Cycle Assessment PDF of Environmental Impacts of Cultured Meat: A Cradle-to-Gate Life Cycle Assessment DOI 10.1021/acsfoodscitech.4c00281
Journal Article · Precision Agriculture · 2024
3D Radiative Transfer Modeling of Almond Canopy for Nitrogen Estimation by Hyperspectral Imaging
Oswald, Damian, Alireza Pourreza, Montanu Chakraborty, Sat Khalsa, and Patrick H Brown
Paper page for 3D radiative transfer modeling of almond canopy for nitrogen estimation by hyperspectral imaging DOI 10.1007/s11119-024-10207-z
Journal Article · PLOS One · 2024
Calibration Verification for Stochastic Agent-based Disease Spread Models
Horii, Maya, Aidan Gould, Zachary Yun, Jaideep Ray, Cosmin Safta, and Tarek I Zohdi
Paper page for Calibration verification for stochastic agent-based disease spread models DOI 10.1371/journal.pone.0315429
Conference Article · Advances in Neural Information Processing Systems 37 · 2024
Convergence Analysis of Split Federated Learning on Heterogeneous Data
Han, Pengchao, Chao Huang, Geng Tian, Ming Tang, and Xin Liu
Paper page for Convergence Analysis of Split Federated Learning on Heterogeneous Data PDF of Convergence Analysis of Split Federated Learning on Heterogeneous Data DOI 10.52202/079017-3287
Journal Article · Journal of Food Protection · 2024
Detection of Escherichia Coli Using Bacteriophage T7 and Analysis of Excitation‑Emission Matrix Fluorescence Spectroscopy
Wisuthiphaet, Nicharee, Huanle Zhang, Xin Liu, and Nitin Nitin
Paper page for Detection of Escherichia coli Using Bacteriophage T7 and Analysis of Excitation‑Emission Matrix Fluorescence Spectroscopy PDF of Detection of Escherichia coli Using Bacteriophage T7 and Analysis of Excitation‑Emission Matrix Fluorescence Spectroscopy DOI 10.1016/j.jfp.2024.100396
Journal Article · ACS Omega · 2024
Printed Potentiometric Ammonium Sensors for Agriculture Applications
Toor, Anju, Payton Goodrich, Tyler Anthony, Claire Beckstoffer, Haeshini Jegan, Whendee Silver, and Ana C Arias
Paper page for Printed Potentiometric Ammonium Sensors for Agriculture Applications PDF of Printed Potentiometric Ammonium Sensors for Agriculture Applications DOI 10.1021/acsomega.4c05746
Journal Article · Computational Mechanics · 2024
A Voxel-based Machine-learning Digital-oven-twin for Precise Cooking
Zohdi, Tarek I
Paper page for A voxel-based machine-learning digital-oven-twin for precise cooking DOI 10.1007/s00466-024-02575-0
Journal Article · Food and Bioprocess Technology · 2024
Evaluation and Prediction of Encapsulation of Bioactives in Cell-Based Microcarriers Using Machine Learning Approaches
Lu, Yixing, Christopher Kusnadi, and Nitin Nitin
Paper page for Evaluation and Prediction of Encapsulation of Bioactives in Cell-Based Microcarriers Using Machine Learning Approaches DOI 10.1007/s11947-024-03647-y
Journal Article · Food and Bioprocess Technology · 2024
Evaluation and Prediction of Encapsulation of Bioactives in Cell-Based Microcarriers Using Machine Learning Approaches
Lu, Yixing, Christopher Kusnadi, and Nitin Nitin
Paper page for Evaluation and Prediction of Encapsulation of Bioactives in Cell-Based Microcarriers Using Machine Learning Approaches DOI 10.1007/s11947-024-03647-y
Journal Article · Food Protection Trends · 2024
Food Safety Related Data Analytics, Digital, and Artificial Intelligence Needs and Opportunities in Controlled Environment Agriculture
Motzer, Caroline, Ahmed El-Moghazy, Ana Allende, Maria I Gil, Yannick Weesepoel, Lee Overbeek, Cheng Liu, Rick Zedde, Yamine Bouzembrak, Nitin Nitin, Renata Ivanek, and Martin Wiedmann
Paper page for Food Safety Related Data Analytics, Digital, and Artificial Intelligence Needs and Opportunities in Controlled Environment Agriculture Project for Food Safety Related Data Analytics, Digital, and Artificial Intelligence Needs and Opportunities in Controlled Environment Agriculture DOI 10.4315/FPT-24-017
Journal Article · Computer Methods in Applied Mechanics and Engineering · 2024
A Machine-learning Enabled Digital-twin Framework for Next Generation Precision Agriculture and Forestry
Zohdi, Tarek I
Paper page for A machine-learning enabled digital-twin framework for next generation precision agriculture and forestry DOI 10.1016/j.cma.2024.117250
Journal Article · Genetics · 2024
MegaLMM Improves Genomic Predictions in New Environments Using Environmental Covariates
Hu, Haixiao, Renaud Rincent, and Daniel Runcie
Paper page for MegaLMM improves genomic predictions in new environments using environmental covariates PDF of MegaLMM improves genomic predictions in new environments using environmental covariates DOI 10.1093/genetics/iyae171
Journal Article · PNAS Nexus · 2024
Artificial Intelligence in Food and Nutrition Evidence: The Challenges and Opportunities
Bailey, Regan L, Amanda J MacFarlane, Martha S Field, Ilias Tagkopoulos, Sergio E Baranzini, Kristen M Edwards, Christopher J Rose, Nicholas J Schork, Akshat Singhal, Byron C Wallace, Kelly P Fisher, Konstantinos Markakis, and Patrick J Stover
Paper page for Artificial intelligence in food and nutrition evidence: The challenges and opportunities DOI 10.1093/pnasnexus/pgae461
Conference Article · NeurIPS · 2024
Order-Optimal Regret in Distributed Kernel Bandits Using Uniform Sampling with Shared Randomness
Pavlovic, Nikola, Sudeep Salgia, and Qing Zhao
Paper page for Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness Project for Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness DOI 10.48550/arXiv.2402.13182
Journal Article · Frontiers in Artificial Intelligence · 2024
Predicting Clinical Trial Success for Clostridium Difficile Infections Based on Preclinical Data
Li, Fangzhou, Jason Youn, Christian Millsop, and Ilias Tagkopoulos
Paper page for Predicting clinical trial success for Clostridium difficile infections based on preclinical data PDF of Predicting clinical trial success for Clostridium difficile infections based on preclinical data DOI 10.3389/frai.2024.1487335
Journal Article · Scientific Reports · 2024
Prediction of Adolescent Depression From Prenatal and Childhood Data From ALSPAC Using Machine Learning
Yoo, Arielle, Fangzhou Li, Jason Youn, Joanna Guan, Amanda E Guyer, Camelia E Hostinar, and Ilias Tagkopoulos
Paper page for Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning PDF of Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning DOI 10.1038/s41598-024-72158-9
Journal Article · International Journal of Engineering Science · 2024
A Digital-twin for Rapid Simulation of Modular Direct Air Capture Systems
Zohdi, Tarek I
Paper page for A digital-twin for rapid simulation of modular Direct Air Capture systems DOI 10.1016/j.ijengsci.2024.104120
Journal Article · IEEE Access · 2024
Agri-fly: Simulator for Uncrewed Aerial Vehicle Flight in Agricultural Environments
Zha, Jiaming, Teaya Yang, and Mark Mueller
Paper page for Agri-fly: simulator for uncrewed aerial vehicle flight in agricultural environments PDF of Agri-fly: simulator for uncrewed aerial vehicle flight in agricultural environments DOI 10.1109/ACCESS.2024.3467335
Conference Article · Lecture Notes in Computer Science · 2024
An Accuracy-Shaping Mechanism for Competitive Distributed Learning
Huang, Chao, Justin Dachille, and Xin Liu
Paper page for An Accuracy-Shaping Mechanism for Competitive Distributed Learning DOI 10.1007/978-3-031-72347-6_10
Conference Article · International Conference on Data Mining Workshops · 2024
Explanation Space: A New Perspective Into Time Series Interpretability
Rezaei, Shahbaz and Xin Liu
Paper page for Explanation space: A new perspective into time series interpretability Project for Explanation space: A new perspective into time series interpretability DOI 10.48550/arXiv.2409.01354
Journal Article · Computers in Biology and Medicine · 2024
FoodAtlas: Automated Knowledge Extraction of Food and Chemicals From Literature
Youn, Jason, Fangzhou Li, Gabriel Simmons, Shanghyeon Kim, and Ilias Tagkopoulos
Paper page for FoodAtlas: Automated knowledge extraction of food and chemicals from literature Project for FoodAtlas: Automated knowledge extraction of food and chemicals from literature DOI https://doi.org/10.1016/j.compbiomed.2024.109072
Journal Article · The Journal of Nutrition · 2024
Fine-Scale Dietary Polyphenol Intake Is Associated with Systemic and Gastrointestinal Inflammation in Healthy Adults
Wilson, Stephanie M, Andrew Oliver, Jules A Larke, José J Naveja, Zeynep Alkan, Joseph M Awika, Charles B Stephensen, and Danielle G Lemay
Paper page for Fine-Scale Dietary Polyphenol Intake Is Associated with Systemic and Gastrointestinal Inflammation in Healthy Adults PDF of Fine-Scale Dietary Polyphenol Intake Is Associated with Systemic and Gastrointestinal Inflammation in Healthy Adults DOI 10.1016/j.tjnut.2024.08.010
Journal Article · AgEcon · 2024
The 2023 California FLC Employment Survey Report
Alexander, Carrie S, Zachariah Rutledge, and Sana Asghar
Paper page for The 2023 California FLC Employment Survey Report DOI 10.22004/ag.econ.344499
Journal Article · AgEcon · 2024
The 2023 Farmer Employment Survey Report Summary of Preliminary Survey Findings for California Farmers
Alexander, Carrie S, Zachariah Rutledge, and Sana Asghar
Paper page for The 2023 Farmer Employment Survey Report Summary of Preliminary Survey Findings for California Farmers DOI 10.22004/ag.econ.344498
Conference Article · International Association for Food Protection · 2024
Adapting Statistical Process Control to Salmonella and Total Plate Counts in Commercial Poultry Processing
Barnett-Neefs, Cecil, Minho Kim, Erin Kealey, Linghuan Yang, Renato Orsi, Cristina Moctezuma, Kevin Atkins, Jeffrey Shaw, Bruce Stewart-Brown, Martin Wiedmann, and Matt Stasiewicz
Paper page for Adapting Statistical Process Control to Salmonella and Total Plate Counts in Commercial Poultry Processing Project for Adapting Statistical Process Control to Salmonella and Total Plate Counts in Commercial Poultry Processing
Journal Article · IEEE/ACM Transactions on Networking · 2024
Linear Bandits With Side Observations on Networks
Kar, Avik, Rahul Singh, Fang Liu, Xin Liu, and Ness B Shroff
Paper page for Linear Bandits With Side Observations on Networks DOI 10.1109/tnet.2024.3422323
Conference Article · Computer Vision and Pattern Recognition · 2024
Feduv: Uniformity and Variance for Heterogeneous Federated Learning
Son, Ha M, Moon-Hyun Kim, Tai-Myoung Chung, Chao Huang, and Xin Liu
Paper page for Feduv: uniformity and variance for heterogeneous federated learning Project for Feduv: uniformity and variance for heterogeneous federated learning DOI 10.1109/CVPR52733.2024.00560
Journal Article · Physics in Medicine and Biology · 2024
Fitting Monte Carlo Simulation Results with an Empirical Model of Megavoltage X-ray Beams for Rapid Depth Dose Calculations in Water
O’Brien, Allison and Rebecca Abergel
Paper page for Fitting Monte Carlo simulation results with an empirical model of megavoltage x-ray beams for rapid depth dose calculations in water DOI 10.1088/1361-6560/ad51c8
Journal Article · Computational Mechanics · 2024
A Coupled Thermo-mechanical Material Point Model of Binder Jetted Green Part Sintering
Isied, Roger S and Tarek I Zohdi
Paper page for A coupled thermo-mechanical material point model of binder jetted green part sintering DOI 10.1007/s00466-024-02495-z
Journal Article · IEEE Internet of Things Journal · 2024
When Federated Learning Meets Oligopoly Competition: Stability and Model Differentiation
Huang, Chao, Justin Dachille, and Xin Liu
Paper page for When Federated Learning Meets Oligopoly Competition: Stability and Model Differentiation DOI 10.1109/JIOT.2024.3400216
Journal Article · Journal of Agricultural and Food Chemistry · 2024
Discovery of Potent Glycosidases Enables Quantification of Smoke-Derived Phenolic Glycosides Through Enzymatic Hydrolysis
Cui, Youtian, Mary Riley, Marcus V Moreno, Mateo M Cepeda, Ignacio A Perez, Yan Wen, Lik X Lim, Eric Andre, An Nguyen, Cody Liu, Larry Lerno, Patrick K Nichols, Harold H Schmitz, Ilias Tagkopoulos, James A Kennedy, Anita Oberholster, and Justin Siegel
Paper page for Discovery of Potent Glycosidases Enables Quantification of Smoke-Derived Phenolic Glycosides through Enzymatic Hydrolysis PDF of Discovery of Potent Glycosidases Enables Quantification of Smoke-Derived Phenolic Glycosides through Enzymatic Hydrolysis DOI 10.1021/acs.jafc.4c01247
Journal Article · Irrigation Science · 2024
Mapping Almond Stem Water Potential Using Machine Learning and Multispectral Imagery
Savchik, Peter, Mallika Nocco, and Isaya Kisekka
Paper page for Mapping almond stem water potential using machine learning and multispectral imagery PDF of Mapping almond stem water potential using machine learning and multispectral imagery DOI 10.1007/s00271-024-00932-8
Journal Article · bioRxiv · 2024
Why Is Usefulness Rarely Useful
Wang, Fangyi, Mitchell Feldmann, and Daniel Runcie
Paper page for Why is usefulness rarely useful DOI 10.1101/2024.04.12.589314
Journal Article · Journal of Food Protection · 2024
Developing an Agent-Based Model That Predicts Listeria Spp. Transmission to Assess Listeria Control Strategies in Retail Stores
Jung, YeonJin, Chenhao Qian, Cecil Barnett-Neefs, Renata Ivanek, and Martin Wiedmann
Paper page for Developing an Agent-Based Model that Predicts Listeria spp. Transmission to Assess Listeria Control Strategies in Retail Stores Project for Developing an Agent-Based Model that Predicts Listeria spp. Transmission to Assess Listeria Control Strategies in Retail Stores DOI https://doi.org/10.1016/j.jfp.2024.100337
Journal Article · Computational Mechanics · 2024
A Machine-learning Enabled Digital-twin Framework for the Rapid Design of Satellite Constellations for “Planet-X”
Zohdi, Tarek I
Paper page for A machine-learning enabled digital-twin framework for the rapid design of satellite constellations for “Planet-X”DOI 10.1007/s00466-024-02467-3
Journal Article · Sensors · 2024
A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping
Wei, Peng, Kaiming Fu, Juan Villacres, Thomas Ke, Kay Krachenfels, Curtis R Stofer, Nima A Bayati, Qikai Gao, Bill Zhang, Eric Vanacker, and Zhaodan Kong
Paper page for A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping Project for A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping DOI 10.3390/s24082494
Journal Article · Archives of Computational Methods in Engineering · 2024
A Computational Framework for Precise Aerial Agricultural Spray Delivery Processes
Betancourt, Omar, I Li, Emre Mengi, L Corrales, and Tarek I Zohdi
Paper page for A Computational Framework for Precise Aerial Agricultural Spray Delivery Processes PDF of A Computational Framework for Precise Aerial Agricultural Spray Delivery Processes DOI https://doi.org/10.1007/s11831-024-10106-6
Workshop Article · AI + Food Systems Data to Enhance Human and Planetary Health Workshop · 2024
White Paper: Artificial Intelligence for Food and Health
Ng, Christie Waisum, Justin Siegel, Arielle Yoo, Ilias Tagkopoulos, and Ginger Welsh
Paper page for White Paper: Artificial Intelligence for Food and Health
Journal Article · Flow Measurement and Instrumentation · 2024
In-lab X-ray Particle Velocimetry for Multiphase Flows: Design Principles and Demonstration of O(1 KHz) XPV
Parker, Jason, Till Dreier, Daniel Nilsson, and Simo A Mäkiharju
Paper page for In-lab X-ray particle velocimetry for multiphase flows: Design principles and demonstration of O(1 kHz) XPV DOI 10.1016/j.flowmeasinst.2024.102536
Journal Article · Journal of Agricultural and Food Chemistry · 2024
Volatile Organic Compound-Based Predictive Modeling of Smoke Taint in Wine
Tan, Cheng-En, Bishnu P Neupane, Yan Wen, Lik X Lim, Cristina Medina Plaza, Anita Oberholster, and Ilias Tagkopoulos
Paper page for Volatile Organic Compound-Based Predictive Modeling of Smoke Taint in Wine PDF of Volatile Organic Compound-Based Predictive Modeling of Smoke Taint in Wine DOI 10.1021/acs.jafc.3c07019
Journal Article · Food & Function · 2024
Filamentous Fungal Pellets As a Novel and Sustainable Encapsulation Matrix for Exogenous Bioactive Compounds
Lu, Yixing, Minami Ogawa, Jaime M Garcia, and Nitin Nitin
Paper page for Filamentous fungal pellets as a novel and sustainable encapsulation matrix for exogenous bioactive compounds Project for Filamentous fungal pellets as a novel and sustainable encapsulation matrix for exogenous bioactive compounds DOI 10.1039/d3fo04425d
Conference Article · IEEE/RSJ International Conference on Intelligent Robots and Systems · 2024
DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots
Choi, Taeyeong, Dario Guevara, Zifei Cheng, Grisha Bandodkar, Chonghan Wang, Brian N Bailey, Mason Earles, and Xin Liu
PDF of DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots Project for DAVIS-Ag: A Synthetic Plant Dataset for Developing Domain-Inspired Active Vision in Agricultural Robots
Journal Article · AI Magazine · 2024
The AIFS Institute: Building a Better Food System Through AI
Tagkopoulos, Ilias, Mason Earles, Danielle G Lemay, Xin Liu, Nitin Nitin, Aaron Smith, Tarek I Zohdi, and Steve Brown
Paper page for The AIFS Institute: Building a better food system through AI PDF of The AIFS Institute: Building a better food system through AI DOI 10.1002/aaai.12164
Journal Article · ACS Sustainable Chemistry & Engineering · 2024
Machine Learning and Taguchi DOE Combined Approach for Modeling Dynamic Ultrasound-Assisted Fresh-Cut Leafy Green Sanitation
Dong, Mengyi, Manan Mehta, Caroline Lee, Melannie Kavannaugh, Chenhui Shao, Matt Stasiewicz, and Hao Feng
Paper page for Machine Learning and Taguchi DOE Combined Approach for Modeling Dynamic Ultrasound-Assisted Fresh-Cut Leafy Green Sanitation Project for Machine Learning and Taguchi DOE Combined Approach for Modeling Dynamic Ultrasound-Assisted Fresh-Cut Leafy Green Sanitation DOI 10.1021/acssuschemeng.3c06025
Journal Article · Advanced Electronic Materials · 2024
Polycaprolactone‐Based Zinc Ink for High Conductivity Transient Printed Electronics and Antennas
Baumbauer, Carol L, Anupam Gopalakrishnan, Madhur Atreya, Gregory Whiting, and Ana C Arias
Paper page for Polycaprolactone‐Based Zinc Ink for High Conductivity Transient Printed Electronics and Antennas PDF of Polycaprolactone‐Based Zinc Ink for High Conductivity Transient Printed Electronics and Antennas DOI 10.1002/aelm.202300658
Journal Article · Review of Industrial Organization · 2024
Spatial Procurement of Farm Products and the Supply of Processed Foods: Application to the Tomato Processing Industry
Hamilton, Stephen, Scott Kjorlien, Ethan Ligon, and Aric Shafran
Paper page for Spatial Procurement of Farm Products and the Supply of Processed Foods: Application to the Tomato Processing Industry PDF of Spatial Procurement of Farm Products and the Supply of Processed Foods: Application to the Tomato Processing Industry Project for Spatial Procurement of Farm Products and the Supply of Processed Foods: Application to the Tomato Processing Industry DOI 10.1007/s11151-023-09939-5
Journal Article · IEEE/ASME Transactions on Mechatronics · 2024
Design and Control of a Collision-resilient Aerial Vehicle with an Icosahedron Tensegrity Structure
Zha, Jiaming, Xiangyu Wu, Ryan Dimick, and Mark Mueller
Paper page for Design and control of a collision-resilient aerial vehicle with an icosahedron tensegrity structure PDF of Design and control of a collision-resilient aerial vehicle with an icosahedron tensegrity structure Project for Design and control of a collision-resilient aerial vehicle with an icosahedron tensegrity structure DOI 10.1109/TMECH.2023.3346749
Book Chapter · Elsevier · 2024
“Techno-economic Assessments of Cellular Agriculture” in Cellular Agriculture
Risner, Derrick, Karen A McDonald, Justin Siegel, and Edward S Spang
Paper page for Cellular Agriculture DOI 10.1016/b978-0-443-18767-4.00002-0
Journal Article · Computers and Electronics in Agriculture · 2024
Large-scale Spatio-temporal Yield Estimation Via Deep Learning Using Satellite and Management Data Fusion in Vineyards
Kamangir, Hamid, Brent S Sams, Nick Dokoozlian, Luis Sanchez, and Mason Earles
Paper page for Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards PDF of Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards DOI 10.1016/j.compag.2023.108439
Journal Article · Christian Perspectives on Science and Technology · 2024
Domains of Uncertainty: The Persistent Problem of Legal Accountability in Governance of Humans and Artificial Intelligence
Alexander, Carrie S
Paper page for Domains of Uncertainty: The Persistent Problem of Legal Accountability in Governance of Humans and Artificial Intelligence PDF of Domains of Uncertainty: The Persistent Problem of Legal Accountability in Governance of Humans and Artificial Intelligence DOI 10.58913/bqom5504

202346 publications

Journal Article · IEEE communications magazine · 2023
Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities
Huang, Chao, Ming Tang, Qian Ma, Jianwei Huang, and Xin Liu
Paper page for Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities DOI 10.1109/MCOM.005.2300467
Journal Article · IEEE Internet of Things Journal · 2023
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Fu, Lei, Huanle Zhang, Ge Gao, Mi Zhang, and Xin Liu
Paper page for Client Selection in Federated Learning: Principles, Challenges, and Opportunities PDF of Client Selection in Federated Learning: Principles, Challenges, and Opportunities DOI 10.1109/jiot.2023.3299573
Conference Article · IEEE Transactions on Big Data · 2023
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing
Liu, Yongshuai, Jiaxin Ding, Zhi-Li Zhang, and Xin Liu
Project for CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing DOI 10.1109/BigData52589.2021.9671840
Journal Article · Frontiers in Artificial Intelligence · 2023
Safer Not to Know? Shaping Liability Law and Policy to Incentivize Adoption of Predictive AI Technologies in the Food System
Alexander, Carrie S, Aaron Smith, and Renata Ivanek
Paper page for Safer not to know? Shaping liability law and policy to incentivize adoption of predictive AI technologies in the food system PDF of Safer not to know? Shaping liability law and policy to incentivize adoption of predictive AI technologies in the food system Project for Safer not to know? Shaping liability law and policy to incentivize adoption of predictive AI technologies in the food system DOI 10.3389/frai.2023.1298604
Journal Article · Computational Mechanics · 2023
A Digital-Twin and Rapid Optimization Framework for Optical Design of Indoor Farming Systems
Mengi, Emre, Carla Becker, Mostafa Sedky, Shao-Yi Yu, and Tarek I Zohdi
Paper page for A Digital-Twin and Rapid Optimization Framework for Optical Design of Indoor Farming Systems Project for A Digital-Twin and Rapid Optimization Framework for Optical Design of Indoor Farming Systems DOI 10.1007/s00466-023-02421-9
Journal Article · International Symposium on Visual Computing · 2023
An Open-Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios
Guevara, Dario, Amogh Joshi, Pranav Raja, Elisabeth Forrestel, Brian N Bailey, and Mason Earles
Paper page for An Open-Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios Project for An Open-Source Simulation Toolbox for Annotation of Images and Point Clouds in Agricultural Scenarios DOI 10.1007/978-3-031-47969-4_43
Journal Article · Nutrients · 2023
Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment
Larke, Jules A, Elizabeth L Chin, Yazmine Bouzid, Tu Nguyen, Yael Vainberg, Dong H Lee, Hamed Pirsiavash, Jennifer T Smilowitz, and Danielle G Lemay
Paper page for Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment Project for Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment DOI 10.3390/nu15234972
Journal Article · Food Research International · 2023
Image-based Assessment and Machine Learning-enabled Prediction of Printability of Polysaccharides-based Food Ink for 3D Printing
Lu, Yixing, Rewa Rai, and Nitin Nitin
Paper page for Image-based assessment and machine learning-enabled prediction of printability of polysaccharides-based food ink for 3D printing DOI 10.1016/j.foodres.2023.113384
Journal Article · Scientific Reports · 2023
Infection Prediction in Swine Populations with Machine Learning
Halev, Avishai, Beatriz Martínez-López, Maria Clavijo, Carlos Gonzalez-Crespo, Jeonghoon Kim, Chao Huang, Seth Krantz, Rebecca Robbins, and Xin Liu
Paper page for Infection prediction in swine populations with machine learning PDF of Infection prediction in swine populations with machine learning DOI 10.1038/s41598-023-43472-5
Journal Article · Plant Phenomics · 2023
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models
Joshi, Amogh, Dario Guevara, and Mason Earles
Paper page for Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models GitHub repository for Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models DOI 10.34133/plantphenomics.0084
Journal Article · Computer-Aided Civil and Infrastructure Engineering · 2023
Balanced Semisupervised Generative Adversarial Network for Damage Assessment From Low-data Imbalanced-class Regime
Gao, Yuqing, Phengyuan Zhai, and Khalid M Mosalam
Project for Balanced semisupervised generative adversarial network for damage assessment from low-data imbalanced-class regime DOI 10.1111/mice.12741
Journal Article · Computeres and Electronics in Agriculture · 2023
Early Almond Yield Forecasting by Bloom Mapping Using Aerial Imagery and Deep Learning
Chakraborty, Momtanu, Alireza Pourreza, Xin Zhang, Hamid Jafarbiglu, Kenneth A Shackel, and Theodore DeJong
Paper page for Early almond yield forecasting by bloom mapping using aerial imagery and deep learning Project for Early almond yield forecasting by bloom mapping using aerial imagery and deep learning DOI 10.1016/j.compag.2023.108063
Journal Article · Precision Agriculture · 2023
Who Is Responsible for ‘Responsible AI’?: Navigating Challenges to Build Trust in AI Agriculture and Food System Technology
Alexander, Carrie S, Mark Yarborough, and Aaron Smith
Paper page for Who is responsible for ‘Responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology Project for Who is responsible for ‘Responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology DOI 10.1007/s11119-023-10063-3
Conference Article · 2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) · 2023
On the Impact of Label Noise in Federated Learning
Ke, Shuqi, Chao Huang, and Xin Liu
Paper page for On the Impact of Label Noise in Federated Learning DOI 10.23919/wiopt58741.2023.10349830
Workshop Article · 2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) · 2023
On the Impact of Label Noise in Federated Learning
Ke, Shuqi, Chao Huang, and Xin Liu
Paper page for On the Impact of Label Noise in Federated Learning Project for On the Impact of Label Noise in Federated Learning DOI 10.23919/wiopt58741.2023.10349830
Preprint · SSRN · 2023
Comparative Study of Radiative Transfer and Empirical Modeling for Foliar Nitrogen Estimation in Californian Almonds Using Hyperspectral Remote Sensing
Oswald, Damian, Alireza Pourreza, Momtanu Chakraborty, Sat Khalsa, and Patrick H Brown
Paper page for Comparative Study of Radiative Transfer and Empirical Modeling for Foliar Nitrogen Estimation in Californian Almonds Using Hyperspectral Remote Sensing PDF of Comparative Study of Radiative Transfer and Empirical Modeling for Foliar Nitrogen Estimation in Californian Almonds Using Hyperspectral Remote Sensing Project for Comparative Study of Radiative Transfer and Empirical Modeling for Foliar Nitrogen Estimation in Californian Almonds Using Hyperspectral Remote Sensing DOI 10.2139/ssrn.4548735
Journal Article · IEEE Internet of Things Journal · 2023
Federated Learning Hyperparameter Tuning From a System Perspective
Zhang, Huanle, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, and Xin Liu
Paper page for Federated Learning Hyperparameter Tuning From a System Perspective PDF of Federated Learning Hyperparameter Tuning From a System Perspective DOI 10.1109/jiot.2023.3253813
Journal Article · Biomedicines · 2023
Profile Characterization of Biogenic Amines in Glioblastoma Patients Undergoing Standard-of-Care Treatment
Aboud, Orwa, Yin Liu, Lina Dahabiyeh, Ahmad Abuaisheh, Fangzhou Li, John P Aboubechara, Jonathan Riess, Orin Bloch, Rawad Hodeify, Ilias Tagkopoulos, and Oliver Fiehn
Paper page for Profile Characterization of Biogenic Amines in Glioblastoma Patients Undergoing Standard-of-Care Treatment PDF of Profile Characterization of Biogenic Amines in Glioblastoma Patients Undergoing Standard-of-Care Treatment DOI 10.3390/biomedicines11082261
Book Chapter · IntechOpen · 2023
“Federated Learning Hyper-Parameter Tuning for Edge Computing” in Edge Computing - Technology, Management and Integration
Zhang, Xueying, Lei Fu, Huanle Zhang, and Xin Liu
Paper page for Edge Computing - Technology, Management and Integration PDF of Edge Computing - Technology, Management and Integration DOI 10.5772/intechopen.110747
Journal Article · Smart Agricultural Technology · 2023
Crop-driven Optimization of Agrivoltaics Using a Digital-replica Framework
Mengi, Emre, Omar A Samara, and Tarek I Zohdi
Paper page for Crop-driven optimization of agrivoltaics using a digital-replica framework DOI 10.1016/j.atech.2022.100168
Journal Article · IEEE Transactions on Network Science and Engineering · 2023
Duopoly Business Competition in Cross-Silo Federated Learning
Huang, Chao, Shuqi Ke, and Xin Liu
DOI 10.1109/TNSE.2023.3297880
Conference Article · IFAC-PapersOnLine · 2023
Data-Driven Optimization for Deposition with Degradable Tools
Zheng, Tony, Monimoy Bujarbaruah, and Francesco Borrelli
Paper page for Data-Driven Optimization for Deposition with Degradable Tools PDF of Data-Driven Optimization for Deposition with Degradable Tools Project for Data-Driven Optimization for Deposition with Degradable Tools DOI 10.1016/j.ifacol.2023.10.1816
Journal Article · Computation · 2023
Quantifying Causal Path-Specific Importance in Structural Causal Model
Wang, Xiaoxiao, Minda Zhao, Fanyu Meng, Xin Liu, Zhaodan Kong, and Xin Chen
Paper page for Quantifying Causal Path-Specific Importance in Structural Causal Model DOI 10.3390/computation11070133
Journal Article · Computer-Aided Civil and Infrastructure Engineering · 2023
Multiattribute Multitask Transformer Framework for Vision-based Structural Health Monitoring
Gao, Yuqing, Jianfei Yang, Hanjie Qian, and Khalid M Mosalam
Paper page for Multiattribute multitask transformer framework for vision-based structural health monitoring Project for Multiattribute multitask transformer framework for vision-based structural health monitoring DOI 10.1111/mice.13067
Journal Article · Computer Methods in Applied Mechanics and Engineering · 2023
A Machine-learning Digital-twin for Rapid Large-scale Solar-thermal Energy System Design
Zohdi, Tarek I
Project for A machine-learning digital-twin for rapid large-scale solar-thermal energy system design DOI 10.1016/j.cma.2023.115991
Conference Article · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023) · 2023
KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
Youn, Jason and Ilias Tagkopoulos
Paper page for KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction PDF of KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction DOI 10.18653/v1/2023.starsem-1.20
Journal Article · Applied Intelligence · 2023
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance
Wang, Xiaoxiao, Fanyu Meng, Xin Liu, Zhaodan Kong, and Xin Chen
Paper page for Causal explanation for reinforcement learning: quantifying state and temporal importance DOI 10.1007/s10489-023-04649-7
Journal Article · Water Research · 2023
AI-enabled Biosensing for Rapid Pathogen Detection: From Liquid Food to Agricultural Water
Yi, Jiyoon, Nicharee Wisuthiphaet, Pranav Raja, Nitin Nitin, and Mason Earles
Paper page for AI-enabled biosensing for rapid pathogen detection: From liquid food to agricultural water PDF of AI-enabled biosensing for rapid pathogen detection: From liquid food to agricultural water DOI 10.1016/j.watres.2023.120258
Conference Article · American Control Conference · 2023
Safe Human-Robot Collaborative Transportation Via Trust-Driven Role Adaptation
Zheng, Tony, Monimoy Bujarbaruah, Yvonne R Stürz, and Francesco Borrelli
DOI 10.23919/ACC55779.2023.10156494
Journal Article · Frontiers in Microbiology · 2023
Predicting Antimicrobial Resistance of Bacterial Pathogens Using Time Series Analysis
Kim, Jeonghoon, Ruwini Rupasinghe, Avishai Halev, Chao Huang, Shahbaz Rezaei, Maria Clavijo, Rebecca Robbins, Beatriz Martínez-López, and Xin Liu
Paper page for Predicting antimicrobial resistance of bacterial pathogens using time series analysis PDF of Predicting antimicrobial resistance of bacterial pathogens using time series analysis DOI 10.3389/fmicb.2023.1160224
Preprint · bioRxiv · 2023
Cradle to Production Gate Life Cycle Assessment of Cultured Meat Growth Media: A Comparison of Essential 8™ and Beefy-9
Risner, Derrick, Patrick Negulescu, Yoonbin Kim, Cuong Nguyen, Justin Siegel, and Edward S Spang
Paper page for Cradle to production gate life cycle assessment of cultured meat growth media: A comparison of Essential 8™ and Beefy-9 PDF of Cradle to production gate life cycle assessment of cultured meat growth media: A comparison of Essential 8™ and Beefy-9 DOI 10.1101/2023.04.21.537772
Preprint · Research Square · 2023
Outbreak Prediction in Swine Populations with Machine Learning
Halev, Avishai, Beatriz Martínez-López, Maria Clavijo, Carlos Gonzalez-Crespo, Jeonghoon Kim, Chao Huang, Rebecca Robbins, and Xin Liu
Paper page for Outbreak Prediction in Swine Populations with Machine Learning PDF of Outbreak Prediction in Swine Populations with Machine Learning DOI 10.21203/rs.3.rs-2814859/v1
Journal Article · IEEE Transactions on Signal Processing · 2023
Collaborative Learning in Kernel-Based Bandits for Distributed Users
Salgia, Sudeep, Sattar Vakili, and Qing Zhao
Paper page for Collaborative Learning in Kernel-Based Bandits for Distributed Users PDF of Collaborative Learning in Kernel-Based Bandits for Distributed Users DOI 10.1109/tsp.2023.3325925
Journal Article · Current Research in Food Science · 2023
Machine Learning Models to Predict Micronutrient Profile in Food After Processing
Naravane, Tarini and Ilias Tagkopoulos
Paper page for Machine learning models to predict micronutrient profile in food after processing PDF of Machine learning models to predict micronutrient profile in food after processing DOI 10.1016/j.crfs.2023.100500
Journal Article · Frontiers in Plant Science · 2023
Estimation of Tomato Water Status with Photochemical Reflectance Index and Machine Learning: Assessment From Proximal Sensors and UAV Imagery
Tang, Zhehan, Yufang Jin, Patrick H Brown, and Meerae Park
Paper page for Estimation of tomato water status with photochemical reflectance index and machine learning: Assessment from proximal sensors and UAV imagery Project for Estimation of tomato water status with photochemical reflectance index and machine learning: Assessment from proximal sensors and UAV imagery DOI 10.3389/fpls.2023.1057733
Journal Article · IEEE Transactions on Industrial Informatics · 2023
A Greedy Agglomerative Framework for Clustered Federated Learning
Mehta, Manan and Chenhui Shao
Paper page for A Greedy Agglomerative Framework for Clustered Federated Learning Project for A Greedy Agglomerative Framework for Clustered Federated Learning DOI 10.1109/TII.2023.3252599
Book · Springer Cham · 2023
Modeling and Simulation of Infectious Diseases Microscale Transmission, Decontamination and Macroscale Propagation
Zohdi, Tarek I
Paper page for Modeling and Simulation of Infectious Diseases DOI 10.1007/978-3-031-18053-8
Book · Springer Cham · 2023
Modeling and Simulation of Infectious Diseases Microscale Transmission, Decontamination and Macroscale Propagation
Zohdi, Tarek I
Paper page for Modeling and Simulation of Infectious Diseases Project for Modeling and Simulation of Infectious Diseases DOI 10.1007/978-3-031-18053-8
Journal Article · ISPRS Journal of Photogrammetry and Remote Sensing · 2023
Impact of Sun-view Geometry on Canopy Spectral Reflectance Variability
Jafarbiglu, Hamid and Alireza Pourreza
Paper page for Impact of sun-view geometry on canopy spectral reflectance variability Project for Impact of sun-view geometry on canopy spectral reflectance variability DOI 10.1016/j.isprsjprs.2022.12.002
Journal Article · Journal of Food Engineering · 2023
DNA-based Surrogates for the Validation of Microbial Inactivation Using Cold Atmospheric Pressure Plasma and Plasma-activated Water Processing
Cui, Hemiao, Qingyang Wang, Rewa Rai, Deepti Salvi, and Nitin Nitin
Paper page for DNA-based surrogates for the validation of microbial inactivation using cold atmospheric pressure plasma and plasma-activated water processing Project for DNA-based surrogates for the validation of microbial inactivation using cold atmospheric pressure plasma and plasma-activated water processing DOI 10.1016/j.jfoodeng.2022.111267
Journal Article · Computers and Electronics in Agriculture · 2023
Placement and Drone Flight Path Mapping of Agricultural Soil Sensors Using Machine Learning
Goodrich, Payton, Omar Betancourt, Ana C Arias, and Tarek I Zohdi
Paper page for Placement and drone flight path mapping of agricultural soil sensors using machine learning DOI 10.1016/j.compag.2022.107591
Workshop Article · AAAI Workshop on AI for Agriculture and Food Systems · 2023
Constrained Reinforcement Learning for Autonomous Farming: Challenges and Opportunities
Liu, Yongshuai, Taeyeong Choi, and Xin Liu
Paper page for Constrained Reinforcement Learning for Autonomous Farming: Challenges and Opportunities Project for Constrained Reinforcement Learning for Autonomous Farming: Challenges and Opportunities
Preprint · arXiv · 2023
Semi-automated Construction of Food Composition Knowledge Base
Youn, Jason, Fangzhou Li, and Ilias Tagkopoulos
Paper page for Semi-automated Construction of Food Composition Knowledge Base Project for Semi-automated Construction of Food Composition Knowledge Base DOI 10.48550/arxiv.2301.11322
Journal Article · Machines · 2023
GNSS-Free End-of-Row Detection and Headland Maneuvering for Orchard Navigation Using a Depth Camera
Peng, Chen, Zhenghao Fei, and Stavros G Vougioukas
Paper page for GNSS-Free End-of-Row Detection and Headland Maneuvering for Orchard Navigation Using a Depth Camera Project for GNSS-Free End-of-Row Detection and Headland Maneuvering for Orchard Navigation Using a Depth Camera DOI 10.3390/machines11010084
Conference Article · IEEE Symposium on Security and Privacy · 2023
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective
Rezaei, Shahbaz, Zubair Shafiq, and Xin Liu
Project for Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective DOI 10.1109/SP46215.2023.10179463
Journal Article · The Journal of Nutrition · 2023
Dietary Intake of Monosaccharides From Foods Is Associated with Characteristics of the Gut Microbiota and Gastrointestinal Inflammation in Healthy US Adults
Larke, Jules A, Nikita P Bacalzo, Juan J Castillo, Garret Couture, Ye Chen, Zhengyao Xue, Zeynep Alkan, Mary E Kable, Carlito B Lebrilla, Charles B Stephensen, and Danielle G Lemay
Paper page for Dietary Intake of Monosaccharides from Foods is Associated with Characteristics of the Gut Microbiota and Gastrointestinal Inflammation in Healthy US Adults DOI 10.1016/j.tjnut.2022.12.008

202238 publications

Journal Article · Applied and Environmental Microbiology · 2022
Accelerating the Detection of Bacteria in Food Using Artificial Intelligence and Optical Imaging
Ma, Luyao, Jiyoon Yi, Nicharee Wisuthiphaet, Mason Earles, and Nitin Nitin
Paper page for Accelerating the Detection of Bacteria in Food Using Artificial Intelligence and Optical Imaging Project for Accelerating the Detection of Bacteria in Food Using Artificial Intelligence and Optical Imaging DOI 10.1128/aem.01828-22
Journal Article · Journal of Food Protection · 2022
Examining Patterns of Persistent Listeria Contamination in Packinghouses Using Agent-Based Models
Barnett-Neefs, Cecil, Martin Wiedmann, and Renata Ivanek
DOI 10.4315/JFP-22-119
Journal Article · Proceedings of the Royal Society A · 2022
A Digital-twin Framework for Genomic-based Optimization of an Agrophotovoltaic Greenhouse System
Isied, Roger S, Emre Mengi, and Tarek I Zohdi
DOI 10.1098/rspa.2022.0414
Conference Article · Military Communications Conference · 2022
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters From System Perspective
Zhang, Huanle, Mi Zhang, Xin Liu, Prasant Mohapatra, and Michael DeLucia
Paper page for FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective DOI 10.1109/MILCOM55135.2022.10017717
Journal Article · Journal of Agricultural and Food Chemistry · 2022
Chardonnay Marc As a New Model for Upcycled Co-products in the Food Industry: Concentration of Diverse Natural Products Chemistry for Consumer Health and Sensory Benefits
Holt, Roberta R, Daniela Barile, Selina C Wang, John P Munafo, Torey Arvik, Xueqi Li, Fanny Lee, Carl L Keen, Ilias Tagkopoulos, and Harold H Schmitz
Paper page for Chardonnay Marc as a New Model for Upcycled Co-products in the Food Industry: Concentration of Diverse Natural Products Chemistry for Consumer Health and Sensory Benefits Project for Chardonnay Marc as a New Model for Upcycled Co-products in the Food Industry: Concentration of Diverse Natural Products Chemistry for Consumer Health and Sensory Benefits DOI 10.1021/acs.jafc.2c04519
Journal Article · Computer Methods in Applied Mechanics and Engineering · 2022
Machine-learning and Digital-twins for Rapid Evaluation and Design of Injected Vaccine Immune-system Responses
Zohdi, Tarek I
Paper page for Machine-learning and digital-twins for rapid evaluation and design of injected vaccine immune-system responses DOI 10.1016/j.cma.2022.115315
Journal Article · Journal of the American Medical Informatics Association · 2022
Algorithmic Lifestyle Optimization
Eetemadi, Ameen and Ilias Tagkopoulos
Project for Algorithmic lifestyle optimization DOI 10.1093/jamia/ocac186
Journal Article · Computational Mechanics · 2022
An Adaptive Digital Framework for Energy Management of Complex Multi-device Systems
Zohdi, Tarek I
Paper page for An adaptive digital framework for energy management of complex multi-device systems
Preprint · bioRxiv · 2022
Predicting Nutrient Profiles in Food After Processing
Naravane, Tarini and Ilias Tagkopoulos
Paper page for Predicting nutrient profiles in food after processing PDF of Predicting nutrient profiles in food after processing DOI 10.1101/2022.09.28.509827
Journal Article · Irrigation Science · 2022
Vine Water Status Mapping with Multispectral UAV Imagery and Machine Learning
Tang, Zhehan, Yufang Jin, Maria del Mar Alsina, Andrew J McElrone, Nicolas Bambach-Ortiz, and William P Kustas
Paper page for Vine water status mapping with multispectral UAV imagery and machine learning DOI 10.1007/s00271-022-00788-w
Journal Article · Irrigation Science · 2022
Spatial–temporal Modeling of Root Zone Soil Moisture Dynamics in a Vineyard Using Machine Learning and Remote Sensing
Kisekka, Isaya, Srinivasa R Peddinti, William P Kustas, Andrew J McElrone, Nicolas Bambach-Ortiz, Lynn McKee, and Wim Bastiaanssen
Paper page for Spatial–temporal modeling of root zone soil moisture dynamics in a vineyard using machine learning and remote sensing DOI 10.1007/s00271-022-00775-1
Journal Article · Scientific Reports · 2022
An Early Prediction Model for Canine Chronic Kidney Disease Based on Routine Clinical Laboratory Tests
Kokkinos, Yiannis, JoAnn Morrison, Richard Bradley, Theodoros Panagiotakos, Jennifer Ogeer, Dennis Chew, Ciaran O'Flynn, Geert D Meyer, Philip Watson, and Ilias Tagkopoulos
Paper page for An early prediction model for canine chronic kidney disease based on routine clinical laboratory tests Project for An early prediction model for canine chronic kidney disease based on routine clinical laboratory tests DOI 10.1038/s41598-022-18793-6
Journal Article · IEEE Access · 2022
Perception-aware Receding Horizon Trajectory Planning for Multicopters with Visual-inertial Odometry
Wu, Xiangyu, Shuxiao Chen, Koushil Sreenath, and Mark Mueller
Paper page for Perception-aware receding horizon trajectory planning for multicopters with visual-inertial odometry Project for Perception-aware receding horizon trajectory planning for multicopters with visual-inertial odometry DOI 10.1109/ACCESS.2022.3200342
Journal Article · Computational Mechanics · 2022
A Note on Rapid Genetic Calibration of Artificial Neural Networks
Zohdi, Tarek I
Paper page for A note on rapid genetic calibration of artificial neural networks DOI 10.1007/s00466-022-02216-4
Journal Article · Computational Mechanics · 2022
Thermal Modeling and Uncertainty Quantification of Tool for Automated Garment Assembly
Castrillon, Nicolas, Avery Rock, and Tarek I Zohdi
Paper page for Thermal modeling and uncertainty quantification of tool for automated garment assembly PDF of Thermal modeling and uncertainty quantification of tool for automated garment assembly DOI 10.1007/s00466-022-02215-5
Journal Article · Journal of Manufacturing Systems · 2022
Federated Learning-based Semantic Segmentation for Pixel-wise Defect Detection in Additive Manufacturing
Mehta, Manan and Chenhui Shao
Paper page for Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing Project for Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing DOI 10.1016/j.jmsy.2022.06.010
Journal Article · Critical Reviews in Food Science and Nutrition · 2022
A Perspective on Data Sharing in Digital Food Safety Systems
Qian, Chenhao, Yuhan Liu, Cecil Barnett-Neefs, Sudeep Salgia, Omer Serbetci, Aaron Adalja, Jayadev Acharya, Qing Zhao, Renata Ivanek, and Martin Wiedmann
Paper page for A perspective on data sharing in digital food safety systems DOI 10.1080/10408398.2022.2103086
Journal Article · International Journal of Molecular Sciences · 2022
Understanding the Formation and Mechanism of Anticipatory Responses in Escherichia Coli
Rai, Navneet, Minseung Kim, and Ilias Tagkopoulos
Paper page for Understanding the Formation and Mechanism of Anticipatory Responses in Escherichia coli Project for Understanding the Formation and Mechanism of Anticipatory Responses in Escherichia coli DOI 10.3390/ijms23115985
Preprint · arXiv · 2022
Cross-Silo Federated Learning: Challenges and Opportunities
Huang, Chao, Jianwei Huang, and Xin Liu
Paper page for Cross-Silo Federated Learning: Challenges and Opportunities PDF of Cross-Silo Federated Learning: Challenges and Opportunities Project for Cross-Silo Federated Learning: Challenges and Opportunities DOI 10.48550/arxiv.2206.12949
Journal Article · Computational and Structural Biotechnology Journal · 2022
A Computational Algorithm to Assess the Physiochemical Determinants of T Cell Receptor Dissociation Kinetics
Rollins, Zachary A, Jun Huang, Ilias Tagkopoulos, Roland Faller, and Steven C George
Paper page for A computational algorithm to assess the physiochemical determinants of T cell receptor dissociation kinetics Project for A computational algorithm to assess the physiochemical determinants of T cell receptor dissociation kinetics DOI 10.1016/j.csbj.2022.06.048
Journal Article · Frontiers in Artificial Intelligence · 2022
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning
Zhang, Huanle, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, and Qing Zhao
Paper page for Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning DOI 10.3389/frai.2022.863261
Journal Article · IEEE Access · 2022
Model-Free Online Motion Adaptation for Energy-Efficient Flight of Multicopters
Wu, Xiangyu, Jun Zeng, Andrea Tagliabue, and Mark Mueller
Paper page for Model-Free Online Motion Adaptation for Energy-Efficient Flight of Multicopters Project for Model-Free Online Motion Adaptation for Energy-Efficient Flight of Multicopters
Journal Article · Computeres and Electronics in Agriculture · 2022
A Comprehensive Review of Remote Sensing Platforms, Sensors, and Applications in Nut Crops
Jafarbiglu, Hamid and Alireza Pourreza
Paper page for A comprehensive review of remote sensing platforms, sensors, and applications in nut crops Project for A comprehensive review of remote sensing platforms, sensors, and applications in nut crops DOI 10.1016/j.compag.2022.106844
Journal Article · Computational Mechanics · 2022
A Digital-twin and Machine-learning Framework for Precise Heat and Energy Management of Data-centers
Zohdi, Tarek I
Paper page for A digital-twin and machine-learning framework for precise heat and energy management of data-centers DOI 10.1007/s00466-022-02152-3
Journal Article · Sensors · 2022
Printed Potentiometric Nitrate Sensors for Use in Soil
Baumbauer, Carol L, Payton Goodrich, Margaret E Payne, Tyler Anthony, Claire Beckstoffer, Anju Toor, Whendee Silver, and Ana C Arias
Paper page for Printed Potentiometric Nitrate Sensors for Use in Soil Project for Printed Potentiometric Nitrate Sensors for Use in Soil DOI 10.3390/s22114095
Journal Article · International Journal of Environmental Research and Public Health · 2022
Statistical Analysis of the Long-Term Influence of COVID-19 on Waste Generation-A Case Study of Castellón in Spain
Artacho-Ramírez, Miguel-Ángel, Héctor Moreno-Solaz, Vanesa G Lo-Iacono-Ferreira, and Víctor-Andrés Cloquell-Ballester
Paper page for Statistical Analysis of the Long-Term Influence of COVID-19 on Waste Generation-A Case Study of Castellón in Spain Project for Statistical Analysis of the Long-Term Influence of COVID-19 on Waste Generation-A Case Study of Castellón in Spain DOI 10.3390/ijerph19106071
Journal Article · Aerosol Science and Technology · 2022
Effect of Coherent Structures on Particle Transport and Deposition From a Cough
Thacher, Eric and Simo A Mäkiharju
Project for Effect of coherent structures on particle transport and deposition from a cough DOI 10.1080/02786826.2022.2044449
FeaturedJournal Article · Nature Communications · 2022
Knowledge Integration and Decision Support for Accelerated Discovery of Antibiotic Resistance Genes
Youn, Jason, Navneet Rai, and Ilias Tagkopoulos
Paper page for Knowledge integration and decision support for accelerated discovery of antibiotic resistance genes GitHub repository for Knowledge integration and decision support for accelerated discovery of antibiotic resistance genes Project for Knowledge integration and decision support for accelerated discovery of antibiotic resistance genes DOI 10.1038/s41467-022-29993-z
Journal Article · Sensors · 2022
Printed Potentiometric Nitrate Sensors for Use in Soil
Baumbauer, Carol L, Payton Goodrich, Margaret E Payne, Tyler Anthony, Claire Beckstoffer, Anju Toor, Whendee Silver, and Ana C Arias
Paper page for Printed Potentiometric Nitrate Sensors for Use in Soil DOI 10.3390/s22114095
Journal Article · Nutrients · 2022
The Development of the Davis Food Glycopedia—A Glycan Encyclopedia of Food
Castillo, Juan J, Garret Couture, Nikita P Bacalzo, Ye Chen, Elizabeth L Chin, Sarah E Blecksmith, Yasmine Y Bouzid, Yael Vainberg, Chad Masarweh, Qing Zhao, Jennifer T Smilowitz, Bruce German, David A Mills, Danielle G Lemay, and Carlito B Lebrilla
Paper page for The Development of the Davis Food Glycopedia—A Glycan Encyclopedia of Food DOI 10.3390/nu14081639
Journal Article · Frontiers in Plant Science · 2022
Non-destructive Plant Biomass Monitoring With High Spatio-Temporal Resolution Via Proximal RGB-D Imagery and End-to-End Deep Learning
Buxbaum, Nicolas, Johann H Lieth, and Mason Earles
Paper page for Non-destructive Plant Biomass Monitoring With High Spatio-Temporal Resolution via Proximal RGB-D Imagery and End-to-End Deep Learning Project for Non-destructive Plant Biomass Monitoring With High Spatio-Temporal Resolution via Proximal RGB-D Imagery and End-to-End Deep Learning DOI 10.3389/fpls.2022.758818
Journal Article · PLoS One · 2022
Using Agent-based Modeling to Compare Corrective Actions for Listeria Contamination in Produce Packinghouses
Barnett-Neefs, Cecil, Genevieve Sullivan, Claire Zoellner, Martin Wiedmann, and Renata Ivanek
Paper page for Using agent-based modeling to compare corrective actions for Listeria contamination in produce packinghouses DOI 10.1371/journal.pone.0265251
Journal Article · Computers and Electronics in Agriculture · 2022
Special Report: AI Institute for Next Generation Food Systems (AIFS)
Tagkopoulos, Ilias, Steve Brown, Xin Liu, Qing Zhao, Tarek I Zohdi, Mason Earles, Nitin Nitin, Daniel Runcie, Danielle G Lemay, Aaron Smith, Pamela Ronald, Hao Feng, and Gabriel Youtsey
Paper page for Special report: AI Institute for next generation food systems (AIFS)Project for Special report: AI Institute for next generation food systems (AIFS)DOI 10.1016/j.compag.2022.106819
Preprint · arXiv · 2022
Incentivizing Data Contribution in Cross-Silo Federated Learning
Huang, Chao, Shuqi Ke, Charles Kamhoua, Prasant Mohapatra, and Xin Liu
Paper page for Incentivizing Data Contribution in Cross-Silo Federated Learning PDF of Incentivizing Data Contribution in Cross-Silo Federated Learning Project for Incentivizing Data Contribution in Cross-Silo Federated Learning DOI 10.48550/arxiv.2203.03885
Journal Article · Plant Physiology · 2022
Can We Harness Digital Technologies and Physiology to Hasten Genetic Gain in US Maize Breeding?
Diepenbrock, Christine H, Tom Tang, Michael Jines, Frank Technow, Sara Lira, Dean Podlich, Mark Cooper, and Carlos Messina
Paper page for Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?Project for Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding?DOI 10.1093/plphys/kiab527
Journal Article · G3: Genes, Genomes, Genetics · 2022
Simultaneous Dissection of Grain Carotenoid Levels and Kernel Color in Biparental Maize Populations with Yellow-to-Orange Grain
LaPorte, Mary-Francis, Mishi Vachev, Matthew Fenn, and Christine H Diepenbrock
Paper page for Simultaneous Dissection of Grain Carotenoid Levels and Kernel Color in Biparental Maize Populations with Yellow-to-Orange Grain Project for Simultaneous Dissection of Grain Carotenoid Levels and Kernel Color in Biparental Maize Populations with Yellow-to-Orange Grain DOI 10.1093/g3journal/jkac006
Journal Article · Biotechnology and Bioengineering · 2022
Modeling Bioaffinity‐based Targeted Delivery of Antimicrobials to Escherichia Coli Biofilms Using Yeast Microparticles. Part II: Parameter Evaluation and Validation
Yi, Jiyoon, Kang Huang, and Nitin Nitin
Paper page for Modeling bioaffinity‐based targeted delivery of antimicrobials to Escherichia coli biofilms using yeast microparticles. Part II: Parameter evaluation and validation Project for Modeling bioaffinity‐based targeted delivery of antimicrobials to Escherichia coli biofilms using yeast microparticles. Part II: Parameter evaluation and validation DOI 10.1002/bit.27969
Journal Article · Biotechnology and Bioengineering · 2022
Modeling Bioaffinity-based Targeted Delivery of Antimicrobials to Escherichia Coli Biofilms Using Yeast Microparticles. Part I: Model Development and Numerical Simulation
Yi, Jiyoon, Kang Huang, and Nitin Nitin
Paper page for Modeling bioaffinity-based targeted delivery of antimicrobials to Escherichia coli biofilms using yeast microparticles. Part I: Model development and numerical simulation Project for Modeling bioaffinity-based targeted delivery of antimicrobials to Escherichia coli biofilms using yeast microparticles. Part I: Model development and numerical simulation

202122 publications

Conference Article · Neural Information Processing Systems · 2021
Distributed Estimation with Multiple Samples Per User: Sharp Rates and Phase Transition
Acharya, Jayadev, Clement Canonne, Yuhan Liu, Ziteng Sun, and Himanshu Tyagi
Paper page for Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
Preprint · arXiv · 2021
Simultaneously Predicting Multiple Plant Traits From Multiple Sensors Via Deformable CNN Regression
Raja, Pranav, Alexander Olenskyj, Hamid Kamangir, and Mason Earles
Paper page for Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression Project for Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression DOI 10.48550/arxiv.2112.03205
Journal Article · Genome Biology · 2021
MegaLMM: Mega-scale Linear Mixed Models for Genomic Predictions with Thousands of Traits
Runcie, Daniel, Jiayi Qu, Hao Cheng, and Lorin Crawford
Paper page for MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits Project for MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits DOI 10.1186/s13059-021-02416-w
Journal Article · Applied Sciences · 2021
Reduced Graphene Oxide-Metalloporphyrin Sensors for Human Breath Screening
Lee, Bo M, Ameen Eetemadi, and Ilias Tagkopoulos
Paper page for Reduced Graphene Oxide-Metalloporphyrin Sensors for Human Breath Screening PDF of Reduced Graphene Oxide-Metalloporphyrin Sensors for Human Breath Screening DOI 10.3390/app112311290
Conference Article · Asian Conference on Machine Learning · 2021
CTS2: Time Series Smoothing with Constrained Reinforcement Learning
Liu, Yongshuai and Xin Liu
Paper page for CTS2: Time Series Smoothing with Constrained Reinforcement Learning Project for CTS2: Time Series Smoothing with Constrained Reinforcement Learning
Journal Article · Scientific Reports · 2021
Crowdsourcing and Machine Learning Approaches for Extracting Entities Indicating Potential Foodborne Outbreaks From Social Media
Tao, Dandan, Dongyu Zhang, Ruofan Hu, Elke Rundensteiner, and Hao Feng
Paper page for Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media PDF of Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media DOI 10.1038/s41598-021-00766-w
Journal Article · Postharvest Biology and Technology · 2021
Machine Learning Analysis of Phage Oxidation for Rapid Verification of Wash Water Sanitation
Cui, Hemiao, Reza Ovissipour, Xu Yang, and Nitin Nitin
Paper page for Machine learning analysis of phage oxidation for rapid verification of wash water sanitation Project for Machine learning analysis of phage oxidation for rapid verification of wash water sanitation DOI 10.1016/j.postharvbio.2021.111654
Journal Article · Applied and Environmental Microbiology · 2021
In Silico Models for Design and Optimization of Science-Based Listeria Environmental Monitoring Programs in Fresh-Cut Produce Facilities
Sullivan, Genevieve, Claire Zoellner, Martin Wiedmann, and Renata Ivanek
Paper page for In Silico Models for Design and Optimization of Science-Based Listeria Environmental Monitoring Programs in Fresh-Cut Produce Facilities DOI 10.1128/AEM.00799-21
Conference Article · International Conference on Computer Vision · 2021
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
Fei, Zhenghao, Alexander Olenskyj, Brian N Bailey, and Mason Earles
Paper page for Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection Project for Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection DOI 10.1109/ICCVW54120.2021.00147
Journal Article · Archives of Computational Methods in Engineering · 2021
A Digital-Twin and Machine-Learning Framework for Ventilation System Optimization for Capturing Infectious Disease Respiratory Emissions
Zohdi, Tarek I
Paper page for A Digital-Twin and Machine-Learning Framework for Ventilation System Optimization for Capturing Infectious Disease Respiratory Emissions DOI 10.1007/s11831-021-09609-3
Journal Article · Sensors · 2021
Characterization and Comparison of Biodegradable Printed Capacitive Humidity Sensors
Wawrzynek, Emma, Carol L Baumbauer, and Ana C Arias
Paper page for Characterization and Comparison of Biodegradable Printed Capacitive Humidity Sensors PDF of Characterization and Comparison of Biodegradable Printed Capacitive Humidity Sensors DOI 10.3390/s21196557
Journal Article · Frontiers in Plant Science · 2021
Estimation of Fractional Photosynthetically Active Radiation From a Canopy 3D Model; Case Study: Almond Yield Prediction
Zhang, Xin, Alireza Pourreza, Kyle H Cheung, German Zuniga-Ramirez, Bruce D Lampinen, and Kenneth A Shackel
Paper page for Estimation of Fractional Photosynthetically Active Radiation From a Canopy 3D Model; Case Study: Almond Yield Prediction Project for Estimation of Fractional Photosynthetically Active Radiation From a Canopy 3D Model; Case Study: Almond Yield Prediction DOI 10.3389/fpls.2021.715361
Conference Article · International Joint Conference on Artificial Intelligence · 2021
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey
Liu, Yongshuai, Avishai Halev, and Xin Liu
Project for Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey DOI 10.24963/ijcai.2021/614
Journal Article · Computational Mechanics · 2021
A Digital-twin and Machine-learning Framework for the Design of Multiobjective Agrophotovoltaic Solar Farms
Zohdi, Tarek I
Paper page for A digital-twin and machine-learning framework for the design of multiobjective agrophotovoltaic solar farms DOI 10.1007/s00466-021-02035-z
Journal Article · Frontiers in Veterinary Science · 2021
Applications of Machine Learning for the Classification of Porcine Reproductive and Respiratory Syndrome Virus Sublineages Using Amino Acid Scores of ORF5 Gene
Kim, Jeonghoon, Kyuyoung Lee, Ruwini Rupasinghe, Shahbaz Rezaei, Beatriz Martínez-López, and Xin Liu
Paper page for Applications of Machine Learning for the Classification of Porcine Reproductive and Respiratory Syndrome Virus Sublineages Using Amino Acid Scores of ORF5 Gene PDF of Applications of Machine Learning for the Classification of Porcine Reproductive and Respiratory Syndrome Virus Sublineages Using Amino Acid Scores of ORF5 Gene DOI 10.3389/fvets.2021.683134
FeaturedJournal Article · Nature Microbiology · 2021
Nationwide Genomic Atlas of Soil-dwelling Listeria Reveals Effects of Selection and Population Ecology on Pangenome Evolution
Liao, Jingqiu, Xiaodong Guo, Daniel H Buckley, Martin Wiedmann, and Otto X Cordero
Paper page for Nationwide genomic atlas of soil-dwelling Listeria reveals effects of selection and population ecology on pangenome evolution Project for Nationwide genomic atlas of soil-dwelling Listeria reveals effects of selection and population ecology on pangenome evolution DOI 10.1038/s41564-021-00935-7
Conference Article · IFIP Networking Conference · 2021
Resource Allocation Method for Network Slicing Using Constrained Reinforcement Learning
Liu, Yongshuai, Jiaxin Ding, and Xin Liu
Project for Resource Allocation Method for Network Slicing Using Constrained Reinforcement Learning DOI 10.23919/IFIPNetworking52078.2021.9472202
Journal Article · Frontiers in Microbiology · 2021
Tolerance to Glutaraldehyde in Escherichia Coli Mediated by Overexpression of the Aldehyde Reductase YqhD by YqhC
Merchel Piovesan Pereira, Beatriz, Muhammad Adil Salim, Navneet Rai, and Ilias Tagkopoulos
Paper page for Tolerance to Glutaraldehyde in Escherichia coli Mediated by Overexpression of the Aldehyde Reductase YqhD by YqhC PDF of Tolerance to Glutaraldehyde in Escherichia coli Mediated by Overexpression of the Aldehyde Reductase YqhD by YqhC DOI 10.3389/fmicb.2021.680553
Conference Article · International Conference on Acoustics, Speech, and Signal Processing · 2021
An Order-Optimal Adaptive Test Plan for Noisy Group Testing Under Unknown Noise Models
Salgia, Sudeep and Qing Zhao
Paper page for An Order-Optimal Adaptive Test Plan for Noisy Group Testing Under Unknown Noise Models Project for An Order-Optimal Adaptive Test Plan for Noisy Group Testing Under Unknown Noise Models DOI https://doi.org/10.1109/ICASSP39728.2021.9414111
Conference Article · IEEE International Conference on Acoustics, Speech, and Signal Processing · 2021
An Order-Optimal Adaptive Test Plan for Noisy Group Testing Under Unknown Noise
Salgia, Sudeep and Qing Zhao
Project for An Order-Optimal Adaptive Test Plan for Noisy Group Testing under Unknown Noise DOI 10.1109/ICASSP39728.2021.9414111
Journal Article · Clinical Nutrition · 2021
Methane and Fatty Acid Metabolism Pathways Are Predictive of Low-FODMAP Diet Efficacy for Patients with Irritable Bowel Syndrome
Eetemadi, Ameen and Ilias Tagkopoulos
Paper page for Methane and fatty acid metabolism pathways are predictive of Low-FODMAP diet efficacy for patients with irritable bowel syndrome Project for Methane and fatty acid metabolism pathways are predictive of Low-FODMAP diet efficacy for patients with irritable bowel syndrome DOI 10.1016/j.clnu.2020.12.041
Journal Article · Remote Sensing · 2021
Deep Learning for Feature-Level Data Fusion: Higher Resolution Reconstruction of Historical Landsat Archive
Chen, Ben, Jing Li, and Yufang Jin
Paper page for Deep Learning for Feature-Level Data Fusion: Higher Resolution Reconstruction of Historical Landsat Archive Project for Deep Learning for Feature-Level Data Fusion: Higher Resolution Reconstruction of Historical Landsat Archive DOI 10.3390/rs13020167

20207 publications

Journal Article · Foods · 2020
Preliminary Techno-Economic Assessment of Animal Cell-Based Meat
Risner, Derrick, Fangzhou Li, Jason S Fell, Sara A Pace, Justin Siegel, Ilias Tagkopoulos, and Edward S Spang
Project for Preliminary Techno-Economic Assessment of Animal Cell-Based Meat DOI 10.3390/foods10010003
Journal Article · Frontiers in Artificial Intelligence · 2020
Using Word Embeddings to Learn a Better Food Ontology
Youn, Jason, Tarini Naravane, and Ilias Tagkopoulos
Paper page for Using Word Embeddings to Learn a Better Food Ontology Project for Using Word Embeddings to Learn a Better Food Ontology DOI 10.3389/frai.2020.584784
Journal Article · Manufacturing & Service Operations Management · 2020
Robust Optimization Approach to Process Flexibility Designs with Contribution Margin Differentials
Wang, Shixin, Xuan Wang, and Jiawei Zhang
Paper page for Robust Optimization Approach to Process Flexibility Designs with Contribution Margin Differentials Project for Robust Optimization Approach to Process Flexibility Designs with Contribution Margin Differentials DOI 10.1287/msom.2020.0913
Journal Article · Manufacturing & Service Operations Management · 2020
Robust Optimization Approach to Process Flexibility Designs with Contribution Margin Differentials
Wang, Shixin, Xuan Wang, and Jiawei Zhang
Paper page for Robust Optimization Approach to Process Flexibility Designs with Contribution Margin Differentials Project for Robust Optimization Approach to Process Flexibility Designs with Contribution Margin Differentials DOI 10.1287/msom.2020.0913
Journal Article · Scientific Reports · 2020
Network-based Modeling of Drug Effects on Disease Module in Systemic Sclerosis
Kim, Ki-Jo, Su-Jin Moon, Kyung-Su Park, and Ilias Tagkopoulos
Paper page for Network-based modeling of drug effects on disease module in systemic sclerosis PDF of Network-based modeling of drug effects on disease module in systemic sclerosis DOI 10.1038/s41598-020-70280-y
Journal Article · Frontiers in Microbiology · 2020
Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water
Weller, Daniel, Natalie Brassill, Channah Rock, Renata Ivanek, Erika Mudrak, Sherry Roof, Erika Ganda, and Martin Wiedmann
Paper page for Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water Project for Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water DOI 10.3389/fmicb.2020.00134
Journal Article · Frontiers in Sustainable Food Systems · 2020
Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce Production
Weller, Daniel, Alexandra Belias, Hyatt Green, Sherry Roof, and Martin Wiedmann
Paper page for Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce Production Project for Landscape, Water Quality, and Weather Factors Associated With an Increased Likelihood of Foodborne Pathogen Contamination of New York Streams Used to Source Water for Produce Production DOI 10.3389/fsufs.2019.00124

Undated1 publication

Book Chapter · Springer Nature
“AI in Population Medicine Through the Lens of Veterinary Epidemiology” in Artificial Intelligence in Veterinary Medicine Principles, Current and Future Potential Use of AI Across the Sector
Koebel, Katherine, Amelia Nelson, and Renata Ivanek