Dongyi Wang
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Leiden University (2025–2026); Beijing Institute of Technology (2023); University of Maryland, Baltimore (2024); University of Wyoming (1997); Nanjing University of Chinese Medicine (2021); State University of New York (1996); 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); Hainan University (2024); Purdue University West Lafayette (2026); Fudan University (2015); Nanjing General Hospital of Nanjing Military Command (2021–2026); University of Manchester (2016); University at Albany, State University of New York (1996); State Key Laboratory on Integrated Optoelectronics (2019–2022); Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine (2025); Changchun University of Chinese Medicine (2024–2026); Institute of Semiconductors (2021–2022); Wuyi University (2022–2026); Hebei University (2024); State Key Laboratory of New Technology of Computer Software (2011); Shenyang Urban Construction University (2025); University of Maryland, College Park (2018–2024); Columbia University (2020); Nanjing University (2011–2026); Siena College (1996); Wuyi University (2022–2026)
Biological and Agricultural Engineering
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Dongyi Wang's research focuses on the development of advanced materials and sensing systems, particularly for applications in flexible electronics, bio-inspired design, and agricultural technology. He has received significant federal funding, including a CAREER award from the National Science Foundation (NSF) for $511,074 to investigate autonomous agro-bioproduct manufacturing using hyperspectral imaging and imitation learning. Another NSF grant for $50,000 supports work on a software application for predicting consumer food acceptability based on visual appearance.
His publications demonstrate a strong interest in materials science, with numerous papers on MXene-based flexible pressure sensors, electronic skin, and integrated sensing systems. Wang also explores the application of artificial intelligence and machine learning in diverse fields, including medical imaging for retinal vessel segmentation and hyperspectral imaging for early disease detection in plants. His work on sustainable poultry farming practices highlights a broader engagement with agricultural challenges.
With a h-index of 25 and over 3,200 citations across 164 publications, Wang maintains an active research program. He collaborates with several colleagues at the University of Arkansas at Fayetteville, including Ebenezer Miezah Kwofie, Siavash Mahmoudi, Chaitanya Pallerla, and Pouya Sohrabipour, contributing to a shared body of work.
Metrics
- h-index: 25
- Publications: 154
- Citations: 3,273
Positions
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Assistant Professor 2021–presentUniversity of Arkansas UADA | BAEG | Department of Biological and Agricultural Engineering ORCID
Selected Publications
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Spectral-tokenized prompting of pretrained transformers for industrial NIR hyperspectral impurity segmentation (2026)
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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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S2G-Net: an asymmetric cross-modal network for tiny cotton terminal-bud detection and sparse depth completion in real fields (2026)
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Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification (2026)
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MyoVision: A Mobile Research Tool and NEATBoost-Attention Ensemble Framework for Real Time Chicken Breast Myopathy Detection (2026)arXiv (Cornell University) OpenAlex
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MyoVision: A Mobile Research Tool and NEATBoost-Attention Ensemble Framework for Real Time Chicken Breast Myopathy Detection (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)
Federal Grants 2 $561,074 total
Collaboration Network
Top Collaborators
- 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
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- 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
Showing 5 of 14 shared publications
- Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- 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
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
Showing 5 of 14 shared publications
- 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
- Rapid Detection of Chicken Residues on Poultry Plant Surfaces Using Color and Fluorescence Spectrometry
Showing 5 of 11 shared publications
- Sustainable poultry farming practices: a critical review of current strategies and future prospects
- 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
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- Precision Farming Technologies for Monitoring Livestock and Poultry
Showing 5 of 11 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
- Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
Showing 5 of 10 shared publications
- 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
- Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems
- 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 9 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
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
- A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing
Showing 5 of 9 shared publications
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Thermal imaging-guided detection of transparent plastic contaminants on chicken breast: A combined vision and simulation approach
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
Showing 5 of 7 shared publications
- 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
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
Showing 5 of 6 shared publications
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat
- Palm-size wireless piezoelectric immune-biosensing system for rapid E. coli O157:H7 detection
- Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition
- Portable Broadband Dielectric Impedance Immunosensor Based on IDEs for Rapid, Label-Free Whole-Cell E. coli Detection
- Autonomous robotic-biosensing platform for real-time microbial surveillance in poultry processing facilities
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
- 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
- SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging
- The design and development of 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
- Dashboard for Improving Sustainable Healthy Food Choices
- Environmental-Health Convergence: The Design and Development of a Machine Learning-Based Tool for Catalyzing Sustainable Healthy Food Systems
- The design and development of 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
- Dashboard for Improving Sustainable Healthy Food Choices
- Environmental-Health Convergence: The Design and Development of a Machine Learning-Based Tool for Catalyzing Sustainable Healthy Food Systems
- YOLO-ALDS: an instance segmentation framework for tomato defect segmentation and grading based on active learning and improved YOLO11
- SCNet: A deep learning network framework for analyzing near-infrared spectroscopy using short-cut
- The Rapid Detection of Foreign Fibers in Seed Cotton Based on Hyperspectral Band Selection and a Lightweight Neural Network
- SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging
- 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
- Cost Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation for Poultry Processing
- ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products
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