Dongyi Wang
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Liaoning University (2025); Leiden University (2025–2026); Beijing Institute of Technology (2023); University of Maryland, Baltimore (2023–2024); University of Wyoming (1997); Nanjing University of Chinese Medicine (2021); Shenyang Agricultural University (2026); California State University, Northridge (2021); Sun Yat-sen University (2021–2024); Hohai University (2023); Rensselaer Polytechnic Institute (1996); Beijing University of Chinese Medicine (2025); Ludong University (2026); Jilin University (2019–2022); Chinese Academy of Sciences (2021–2022); University of Missouri–St. Louis (1996); Hainan University (2024); University of Applied Sciences Leiden (2025); Fudan University (2015); Nanjing General Hospital of Nanjing Military Command (2022); Earth Island Institute (2020); University of Manchester (2016); University at Albany, State University of New York (1996); Shandong Institute of Metrology (2023); State Key Laboratory on Integrated Optoelectronics (2019–2022); Poultry Research Institute (2024); Nanjing Traditional Chinese Medicine Hospital (2026); Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine (2025); Changchun University of Chinese Medicine (2024–2026); Second Affiliated Hospital of Nanjing Medical University (2025–2026); The Affiliated Hospital to Changchun University of Chinese Medicine (2025); Institute of Semiconductors (2021–2022); Wuyi University (2022); Shenyang University (2025); Hebei University (2024); University of Maryland, College Park (2018–2024); Columbia University (2020); Nanjing Medical University (2025–2026); Nanjing University (2011–2024); Siena College (1996); Wuyi University (2026)
Faculty Researcher
Biological and Agricultural Engineering
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Dongyi Wang is an Assistant Professor in Biological and Agricultural Engineering at the University of Arkansas at Fayetteville. His research program focuses on the development and application of intelligent systems, particularly in areas involving artificial intelligence, machine learning, and advanced sensing technologies. Wang has received significant funding from the National Science Foundation (NSF) for projects investigating AI-powered non-lethal sampling for forest management and pollinator conservation, human brain modeling via quantum machine intelligence, and autonomous agro-bioproduct manufacturing guided by hyperspectral imaging and imitation learning.
Further NSF funding supports his work on human-in-the-loop AI systems for automated identification of ground-dwelling arthropods and large-scale multi-modality learning systems for identifying tobacco addiction and predictive analytics using social media data. He also leads a CAREER project focused on addressing hallucinations in trustworthy large-scale multi-modality learning. Wang's publication record includes work on flexible sensing systems, electronic skin, nanostructured materials for energy storage, and the application of deep learning in agriculture and healthcare.
His research interests span the intersection of engineering, computer science, and biological applications. Wang has a substantial publication record, with over 150 publications, an h-index of 25, and more than 3,000 citations. He has collaborated with researchers at the University of Arkansas at Fayetteville on multiple publications.
Metrics
- h-index: 25
- Publications: 157
- Citations: 3,203
Selected Publications
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Assessing the feasibility of low-cost multispectral sensing for woody breast severity classification (2026)
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Dual-camera coherent-light diffraction biosensor for multipathogen screening and strain-level recognition of bacterial colonies (2026)
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Autonomous robotic-biosensing platform for real-time microbial surveillance in poultry processing facilities (2026)
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Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification (2026)
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Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat (2026)
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Smartphone-enabled Depth-aware Transillumination Imaging for Detection of Chicken Breast Fillet Myopathies in Chicken Fillets (2026)
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Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection (2026)
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A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing (2026)
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Precision Farming Technologies for Monitoring Livestock and Poultry (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing (2026)
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ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products (2026)
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Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation (2025)
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Rapid Detection of Chicken Residues on Poultry Plant Surfaces Using Color and Fluorescence Spectrometry (2025)
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Thermal imaging-guided detection of transparent plastic contaminants on chicken breast: A combined vision and simulation approach (2025)
Federal Grants 2 $561,074 total
Collaboration Network
Top Collaborators
- The design and development of a dashboard for improving sustainable healthy food choices
- Circular bioeconomy potential of rice husk as a bioplastic resource: Techno-environmental assessment
- Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices
- Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems
- Multiobjective Modeling of Risk to Health and Environmental Impact Under Stringent Mitigation Strategies: the Case of the United States Food System
Showing 5 of 6 shared publications
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
Showing 5 of 6 shared publications
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Smartphone-enabled Depth-aware Transillumination Imaging for Detection of Chicken Breast Fillet Myopathies in Chicken Fillets
Showing 5 of 6 shared publications
- Review of deep learning-based methods for non-destructive evaluation of agricultural products
- SCNet: A deep learning network framework for analyzing near-infrared spectroscopy using short-cut
- SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging
- Is human perception reliable? Toward illumination robust food freshness prediction from food appearance — Taking lettuce freshness evaluation as an example
- The Rapid Detection of Foreign Fibers in Seed Cotton Based on Hyperspectral Band Selection and a Lightweight Neural Network
- Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Precision Farming Technologies for Monitoring Livestock and Poultry
- Smartphone-enabled Depth-aware Transillumination Imaging for Detection of Chicken Breast Fillet Myopathies in Chicken Fillets
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- SCNet: A deep learning network framework for analyzing near-infrared spectroscopy using short-cut
- YOLO-ALDS: an instance segmentation framework for tomato defect segmentation and grading based on active learning and improved YOLO11
- SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging
- The Rapid Detection of Foreign Fibers in Seed Cotton Based on Hyperspectral Band Selection and a Lightweight Neural Network
- The design and development of a dashboard for improving sustainable healthy food choices
- Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices
- Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems
- Multiobjective Modeling of Risk to Health and Environmental Impact Under Stringent Mitigation Strategies: the Case of the United States Food System
- The design and development of a dashboard for improving sustainable healthy food choices
- Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices
- Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems
- Multiobjective Modeling of Risk to Health and Environmental Impact Under Stringent Mitigation Strategies: the Case of the United States Food System
- Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects
- Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
- MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences
- Novel Application of Long Short-Term Memory Network for 3D to 2D Retinal Vessel Segmentation in Adaptive Optics—Optical Coherence Tomography Volumes
- MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences
- Novel Application of Long Short-Term Memory Network for 3D to 2D Retinal Vessel Segmentation in Adaptive Optics—Optical Coherence Tomography Volumes
- MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences
- Prediction of Aqueous Glucose Concentration Using Hyperspectral Imaging
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