2025
[61]. Wang, D. (2025). Opportunities of Precision Agriculture Development in the state of Arkansas. In Arkansas Research & Computing Stakeholder Forum. Little Rock, AR [Invited oral presentation]
[60]. Wang D., Shou W., She Y. (2025) Multimodal sensors guided robotic chicken grasping and rehanging for integrated and autonomous poultry processing. In NSF FRR/NRI annual Principal Investigators’ meeting. Alexandria, VA [Invited poster presentation]
[59]. Pallerla C., Bist R., Owens C.M., Weimer S., Subbiah J., Wang D.#. Thermal Imaging-Guided Detection of Transparent Plastic Contaminants on Chicken Breast: A Combined Vision and Simulation Approach. In the 2025 Arkansas Association for Food Protection Meeting, Fayetteville, AR [Poster, Second Prize]
[58]. Mahmoudi S., …, Wang D.#, (2025) Data-Driven Contact-Aware Control Method for Real-Time Deformable Tool Manipulation: A Case Study in the Environmental Swabbing. In the 2025 Arkansas Association for Food Protection Meeting, Fayetteville, AR [Poster]
[57]. Tian Y., Pallerla C., Howell T.,Subbiah J., Wang D.#. AI-Enabled Portable Electrochemical Impedance Immuno-biosensor for Ultra-Sensitive Detection of Escherichia coli O157 in Poultry Samples. In the 2025 Arkansas Association for Food Protection Meeting, Fayetteville, AR [Poster]
[56]. Tian, Y., Liu, Z., Huang, Y., Bist, R. B., Xiao, Y., Howe, S. M., … & Wang, D.# (2025). Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition. In the 2025 ASABE Arkansas Session meeting, Little Rock, AR [Poster]
[55]. Tagoe, A., Bist, R. B., Koparan, C., Johnson, D., Wang, D., Worthington, M., & Poncet, A. (2025). Deep Learning Performance Evaluation on Blackberry Flower Detection in Unmanned Aerial Vehicle Imagery. In the 2025 ASABE Arkansas Session meeting, Little Rock, AR [Poster, First Prize]
[54]. Vinson S., Wang D.# (2025) Cross-Facility Reliable Deep Learning Based Beef Marbling Assessment Via Unsupervised Domain Adaptation Regression. In the 2025 ASABE Arkansas Session meeting, Little Rock, AR [Poster, Second Prize]
[53]. Tian, Y., …, Wang D.#, Wireless handheld piezoelectric immuno-biosensing system for foodborne E. coli O157:H7 detection. In 2025 ACS Fall meeting, Washington, DC, USA [Poster].
[52]. Azmir, M. N., Tagoe, A., Koparan, C., Burgos, N. R., Davis, J., Runkle, B., & Wang, D. (2025). Automated Weed Pressure Measurement System Evaluation for Unmanned Aerial Vehicles. In 2025 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers. [Poster, proceeding]
[51]. Pallerla C., Subbiah J., Bist R., Yang T., Owens. C., Wang D.# (2025) Enhancing foreign material detection in poultry processing plants using thermal imaging and vision-based systems. In 2025 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Toronto, Canada [Oral].
[50]. Koparan C., Johnson D., Wang D., Worthington M., Poncet A., (2025) Preliminary Analysis of Computer Vision for Blackberry Flower Quantification. In 2025 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Toronto, Canada [Poster]
[49]. Atungulu G., Tachine C., Pallerla C., Wang D. (2025) Assessment of a New Nondestructive Method to Measure Rice Chalk Content Based on Rough Rice Properties. In 2025 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Toronto, Canada [Oral]
[48]. Vinson S., Wang D.# (2025) Cross-Facility Reliable Deep Learning Based Beef Marbling Assessment Via Unsupervised Domain Adaptation Regression. In 2025 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Toronto, Canada [Poster, proceeding]
[47]. Feng Y., Pallerla C., Lin X., Sohrabipour P., Bist R., Mahmoudi S., Davar A., Wang D.# (2025) Leveraging Blender-Synthesized Data and Depth information for High-Precision Instance Segmentation of Chicken Carcasses. In 2025 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Toronto, Canada [Poster]
[46]. Davar A., Xu Z., Mahmoudi S., She Y., Shou W., Wang D.#, (2025) ChicGrasp: Imitation-Learning Control for Dual-Finger Manipulation of Delicate, Irregular, and Bio-products. In International Conference on Robotics and Automation (ICRA) 2025 [Poster]
[45]. Mahmoudi S., Wang D.#, (2025) Data-Driven Contact-Aware Control Method for Real-Time Deformable Tool Manipulation: A Case Study in the Environmental Swabbing In International Conference on Robotics and Automation (ICRA) 2025 [Poster]
2024
[44]. Pallerla C., …, Wang D.#, (2024) Hyperspectral imaging and Machine learning algorithms for foreign material detection on the chicken surface. In 2024 Poultry Science Annual International Meeting. Lexington, KY [Oral]
[43]. Feng Y, .., Wang D.# Synthetic Data Augmentation for Chicken Carcass Instance Segmentation with Mask Transformer. In 2024 ASABE Arkansas Session meeting [Poster]
[42]. Bist R, …, Wang D.#, Automatic Labeling of Large-Scale Poultry Image Datasets Using Inductive Semi-Supervised Auto-Labeling Models. In 2024 ASABE Arkansas Session meeting [Poster]
[41]. Mahmoudi S., …, Wang D.#, (2024) Automated Solutions for Poultry Processing: Integrating Robotic Swab Sampling and Pathogen Detection Technologies. In 2024 ASABE Arkansas Session meeting [Poster]
[40]. Davar, A, …, Wang D.#, (2024) Diffusion Policy-Based Imitation Learning for Gripping and Manipulation of Delicate and Irregularly Shaped Objects with a Customized Dual-Fingered End Effector. In 2024 ASABE Arkansas Session meeting [Poster]
[39]. Vinson, S., …, Wang D.#, (2024) Leveraging Machine Learning for Predictive Modeling of USDA Beef Grading through Marbling Assessment. In 2024 ASABE Arkansas Session meeting [Poster]
[38]. Tian, Y., …, Wang D., (2024) Palm-size wireless piezoelectric immune-sensor system for E. coli detection. In 2024 ASABE Arkansas Session meeting [Poster]
[37] Wang, D., Mahmoudi S., Griscorn C., Crandall P (2024). Automated Environmental Swabbing: A Robotic Solution for Enhancing Food Safety in Poultry Processing — Human Swabbing Evaluation and Preliminary Robotic Swabbing Setup. In 2024 Institute of Biological Engineering (IBE) Annual Meeting, Atlanta, GA [Oral Presentation].
[36] Pallerla C., Wang D., (2024) Hyperspectral imaging and Machine learning algorithms for foreign material detection on the chicken surface. In 2024 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Anaheim, CA [Poster presentation]
[35] Feng Y., Wang D.#, (2024) Synthetic Data Augmentation for Chicken Carcass Instance Segmentation with Mask Transformer. In 2024 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Anaheim, CA [Poster presentation]
[34] Sohrabipour P., Wan S., Yu S., Wang D.#, (2024) Depth image guided Mask-RCNN model for chicken detection in poultry processing line. In 2024 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Anaheim, CA [Oral presentation]
[33] Xu Z., Wan S., Wang D., Yu S., (2024) Whole Chicken Manipulation via Imitation Learning. In 2024 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Anaheim, CA [Conference proceeding, poster presentation]
[32] Mahmoudi S., Wang D.#, (2024) Automated Solutions for Poultry Processing: Integrating Robotic Swab Sampling and Pathogen Detection Technologies. In 2024 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting. Anaheim, CA [Poster presentation]
[31] Mahmoudi S., Sohrabipour P., Obe T., Gibson K., Crandall P., Jeyam S., Wang D.# (2024), Automated Environmental Swabbing: A Robotic Solution for Enhancing Food Safety in Poultry Processing. In 2024 the Third Annual Artificial Intelligence in Agriculture Conference. College Station, TX [Poster presentation]
[30] Sohrabipour P., Mahmoudi S., She Y., Shou W., Pallerla C., Schrader L., Wang D.# (2024), Advanced Poultry Automation: Integrating 3D Vision Reconstruction and Mask R-CNN for Efficient Chicken Handling. In 2024 the Third Annual Artificial Intelligence in Agriculture Conference. College Station, TX [Poster presentation, First place winner]
[29] Wang D., Shou W., She Y., (2024) Multimodal sensors guided robotic chicken grasping and rehanging for integrated and autonomous poultry processing. In NSF National Robotics Initiative (NRI) Principal Investigators’ meeting. Baltimore, MD[Invited poster presentation]
2023
[28] Sethu, S., Nathan, S., Wang, D., Jayanthi, D., Seo, H., & Hogan, V. J. (2023). Sensory predictive analysis of freshness of food products under different lighting conditions. In 2023 International Conference on Networking and Communications (ICNWC) (Best paper award).
[27] Yeboah, W. O., Kwofie, E. M., & Wang, D. (2023). Sustainable Production Of Xylo-Oligosaccharide From Rice Husk: A Techno-Economic And Environmental Performance Assessment. In 2023 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers.
[26] Feng, Y., Fleming A., Threfall R., Wang D.# (2023), Hyperspectral Imaging-based Prediction of Soluble Solid Content (SSC) in Vignoles Grapes. In 2023 SR-ASHS Conference.
[25] Wang D. (2023), Robust vision intelligence for food quality evaluation. In USDA AMS seminar (invited)
[24] Wang D. (2023), Shou W., She Y., Multimodal sensors guided robotic chicken grasping and rehanging for integrated and autonomous poultry processing. In NSF NRI PI meeting. (invited)
[23] Pallerla C., Feng Y., Owens C. Wang D.# (2023). Neural Network Architecture Search Enabled Wide-Deep Learning for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Texture Regression. In 2023 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers.
[22] Wang D. (2023), Vision Intelligence for Smart Food Manufacturing. In 2023 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers. (invited)
[21] Feng, Y., Mergner F., Crandall P., Pallerla C., Wang D.# (2023), Cost-Effective Video Camera System to Estimate Workers’ Risk of Work-Related Musculoskeletal Disorders (WRMSD). In 2023 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers.
2022
[20] Wang, D. (2022) Recent advances in artifical intelligence based spectral signal analysis for agricultural applications. In UARK analytical chemistry seminar. (invited)
[19]. Murugan, Nathan S., S., Zhang. S., Seo, H., Wang, D.# (2022) Toward fair and reliable consumer acceptability prediction from food appearances. In The 27th NSF EPSCoR National Conference
[18]. Ali, M. A., Wu, B., Wheeler, C., Wang, D., & Tao, Y. (2022). Active-Laser Scanning and Intelligent Picking for Automated Loading of Agricultural Commodities to Processing Machines. In 2022 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers.
[17]. Murugan, S., Torres, O., Blindauer, R., Zhang, S., Seo, H., Wang, D.#, (2022) Toward fair and reliable consumer acceptability prediction from food appearances. In Arkansas NSF EPSCoR / DART Annual All-Hands Conference
[16]. Mohamed, A., Yang, T., Wang, D., (2022) Active Laser Scanning and Intelligent Picking for Automated Loading of Agriculture Commodities to Processing Machine. In Envisioning 2050 in the Southeast: AI-driven Innovations in Agriculture.
2021
[15]. Wang, D., Mohamed, A., et.al., (2021). Designs of a customized active 3D scanning system for food processing applications. In 2021 ASABE annual meeting (p. 1). American Society of Agricultural and Biological Engineers.
[14]. Wang, D., Jessica, Pottenburgh., et.al. (2021) Deep learning aided erythrocyte stasis characterization based on erythrocyte mediated angiography. In 2021 ARVO annual meeting.
[13]. Sun., C., Chen, V., Wang, D.#, et.al., (2021) The Effect of Aging on Vasomotion and Microvascular Autoregulation. In 2021 UMB Student Research Forum.
[12]. Hevaganinge, A., Wang, C., Wang, D., et.al., (2021). Non-Contact pH and Glucose Sensing using Short Wavelength Infrared Hyperspectral Imaging. In 2021 NIIMBL annual meeting.
[11]. Christopher Le., Wang, D., et.al., (2021) Automated Vessel Segmentation of Vascular Plexuses in Adaptive Optics – Optical Coherence Tomography Images. In 2021 ARVO annual meeting.
[10]. Mohamed A., Wang, D., et.al., (2021). Robotic Extraction of Chesapeake Crab Meat. In 2021 ASABE annual meeting (p. 1). American Society of Agricultural and Biological Engineers.
2020
[9]. Wang, D., Haytham, A., et.al., (2020). Hard attention deep neural network for automated retinal vessel segmentation. Investigative Ophthalmology & Visual Science, 61(7).
[8]. Simon., C., Lai, W., Pottenburgh, J., Wang, D. #, et.al., (2020) Vascular Autoregulation and Glaucoma: Correlation of Structural Biomarkers with Vasomotion using Erythrocyte Mediated Angiography (EMA). In 2020 UMB Student Research Forum.
[7]. Teng, Z., Luo, Y., Simko, I., Wang, D., et.al. (2020). Browning of romaine lettuce during postharvest storage: a phenotypic, enzymatic, metabolomic, and genomic study. In 2020 The future of lettuce symposium, Pismo Beach, CA, USA.
2019
[6]. Wang, D., Vinson, R., et.al., (2019). Vision Intelligence guided strawberry decalyx machine –automatic vision-guided intelligent decalyxing network (AVIDnet). In 2019 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers.
[5]. Wang, D., Haytham, A., et.al., (2019). Erythrocyte Mediated Angiography Automated Velocimetry for Retinal Blood Flow Measurement. In 2019 BMES Annual Meeting.
2018
[4]. Wang, D., Vinson, R., et.al., (2018). Early Tomato Spotted Wilt Virus Detection using Hyperspectral Imaging Technique and Outlier Removal Auxiliary Classifier Generative Adversarial Nets (OR-AC-GAN). In 2018 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers.
[3]. Wang, D., Holmes, M., et.al., (2018). Machine Vision Guided Robotics for Blue Crab Disassembly—Deep Learning Based Crab Morphology Segmentation. In 2018 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers.
[2]. Ni, C., Wang, D., et.al., (2018). Convolution neural network based automatic corn kernel qualification. In 2018 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers.
[1]. Wang, D., (2018). Imaging and Machine Intelligence for Blue Crab Processing. In 2018 NABEC Annual Meeting.