Refereed Publications

Tian, Y., Liu, Z., Pallerla, C., Mahmoudi, S., Bist, R. B., Xiao, Y., ... & Wang, D.#

Portable Electrochemical Impedance Biosensing with DRT-Enabled Machine Learning for Detecting E. coli O157: H7 in Poultry Meat.

Frontiers in Artificial Intelligence, 9, 1741144.

Vinson, S., Wang, D.#

Cross-Facility Reliable Deep Learning Based Beef Marbling Assessment Via Unsupervised Domain Adaptation Regression

Journal of ASABE

Mahmoudi, S., Davar, A., Wang, D.#

A State-Adaptive Koopman Control Framework for Real-Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, e202500142.

Bist R., Wang, D., Chai, L., Xiong, Y.

Precision Farming Technologies for Monitoring Livestock and Poultry

AgriEngineering, 8(2), p.64

Davar, A., Xu, Z., Mahmoudi, S., Sohrabipour, P., Pallerla, C., She, Y., ... & Wang, D.#

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products.

Advanced Robotics Research, e202500149.

Feng, Y., Pallerla, C., Lin, X., Suresh, A., Sohrabipour Sr, P., Crandall, P., Shou, W., … & Wang, D.#

Synthetic data augmentation for enhanced chicken carcass instance segmentation.

IEEE Transactions on AgriFood Electronics.

Griscom, C., Wang, D., O'Bryan, C. A., Rõõm, R., & Crandall, P. G.

Rapid Detection of Chicken Residues on Poultry Plant Surfaces Using Color and Fluorescence Spectrometry.

Foods, 14(24), 4352.

Pallerla, C., Bist, R. B., 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.

Food Research International, 117993.

Bist R., Asnayanti A., Do A., Tian Y., Pallerla C., Wang, D.^#, Alrubaye A.^#

Automated Detection of Kinky Back in Broiler Chickens Using Optimized Deep Learning Techniques.

AgriEngineering, 7(12), 415.

Bist R., Chai L., Subedi S., Tian Y., Wang, D^#

Enhancing poultry multi-behavior detection with semi-supervised auto-labeling and prompt-driven zero-shot recognition.

Computers and Electronics in Agriculture, Volume 240, 111178.

Crandall, P. G., O'Bryan, C. A., McFadden, B. R., Wang, D., Obe, T., Houlroyd, J., … & Feng, Y.

A review of successful workplace interventions to mitigate work-related musculoskeletal disorders in poultry processing plant workers: current knowledge and future prospects.

Safety and Health at Work.

Mahmoudi, S., Griscom, C., Sohrabipour, P., Tian, Y., Pallerla, C., Crandall, P., & Wang, D.^#

Evaluation of Robotic Swabbing and Fluorescent Sensing to Monitor the Hygiene of Food Contact Surfaces.

Foods, 14(19), 3311.

Tian, Y., Liu, Z., Huang, Y., Bist, R. B., Xiao, Y., Howe, S. M., … & Wang, D.^#

Deep-Learning-Enhanced Automated Coherent-Light Diffraction System for High-Speed, Highly Accurate Strain-Specific Foodborne Bacterial Recognition.

Journal of Agriculture and Food Research, 102357.

Xue, S., Li Z., Wang, D., Zhu T., Zhang B., & Ni C.

YOLO-ALDS: an instance segmentation framework for tomato defect segmentation and grading based on active learning and improved YOLO11.

Computer and Electronics in Agriculture, Vol 238, 110820.

Tuhanioglu, A., Wang, D., & Ubeyitogullari, A.

Machine Learning-Guided Wax Fractionation from Bioethanol Side-Stream Using Supercritical Carbon Dioxide.

ACS Sustainable Resource Management.

Tian, Y., Kelso, L., Xiao, Y., Pallerla, C., Bist, R., Mahmoudi, S., … & Wang, D.^#

Palm-size Wireless Piezoelectric Immune-biosensing System for Rapid E. coli O157: H7 Detection.

Sensors International, 100341.

Fei, Y., Li, Z., Wang, D., & Ni, C.

The Rapid Detection of Foreign Fibers in Seed Cotton Based on Hyperspectral Band Selection and a Lightweight Neural Network.

Agriculture, 15(10), 1088.

Xu, Z., Uppuluri, R., Zhang, X., Fitch, C., Crandall, P. G., Shou, W., Wang, D. & She, Y.

UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects.

IEEE Robotics and Automation Letters.

Sohrabipour, P., Pallerla, C. K. R., Davar, A., Mahmoudi, S., Crandall, P., Shou, W., … & Wang, D.

Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing.

AgriEngineering, 7(3), 77.

Agyemang, P., Kwofie, E. M., Baum, J. I., & Wang, D.

Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices.

Cleaner and Responsible Consumption, 100241.

Agyemang, P., Kwofie, E. M., Baum, J. I., Wang, D., & Kwofie, E.

Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems.

Environmental Modelling & Software, 106309.

Tagoe, A., Silva, A., Koparan, C., Poncet, A., Wang, D., Johnson, D., & Worthington, M.

Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing.

AgriEngineering, 6(4), 4549-4569.

Pallerla, C., Feng, Y., Owens, C. M., Bist, R. B., Mahmoudi, S., Sohrabipour, P., … & Wang, D.^#

Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression.

Artificial Intelligence in Agriculture.

Mahmoudi, S., Davar, A., Sohrabipour, P., Bist, R. B., Tao, Y., & Wang, D.^#

Leveraging Imitation Learning in Agricultural Robotics: A Comprehensive Survey and Comparative Analysis.

Frontiers in Robotics and AI, 11, 1441312.

Bist, R. B., Bist, K., Poudel, S., Subedi, D., Yang, X., Paneru, B., … Wang, D., & Chai, L.

Sustainable poultry farming practices: a critical review of current strategies and future prospects.

Poultry Science, 104295.

Li, Z.^*, Wang, D.^*, Zhu, T., Tao, Y., & Ni, C.

Review of deep learning-based methods for non-destructive evaluation of agricultural products.

Biosystems Engineering, 245, 56-83.

Wang, D.^#, Sethu, S., Nathan, S., Li, Z., Hogan, V. J., Ni, C., … & Seo, H. S.

Is human perception reliable? Toward illumination robust food freshness prediction from food appearance—Taking lettuce freshness evaluation as an example.

Journal of Food Engineering, 112179.

Zhou, C., Li, Z., Wang, D., Xue, S., Zhu, T., & Ni, C.

SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection with Hyperspectral Imaging.

IEEE Access.

Hao, L., Cao, P., Li, C., & Wang, D.

The CESAE multiple objection optimization network of the ACO-OFDM VLC system.

Optics Communications, 558, 130365.

Agyemang, P., Kwofie, E. M., Baum, J. I., & Wang, D.

The design and development of a dashboard for improving sustainable healthy food choices.

Science of The Total Environment, 172726.

Wang, C. Y., Sadrieh, F. K., Shen, Y. T., Chen, S. E., Kim, S., Chen, V., … Wang, D., Saeedi O. & Tao, Y.

MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences.

Biomedical Optics Express, 15(5), 3457-3479.

Ali, M. A., Wang, D., & Tao, Y.

Active Dual Line-Laser Scanning for Depth Imaging of Piled Agricultural Commodities for Itemized Processing Lines.

Sensors, 24(8), 2385.

Wang, Y., Liu, Y., Zhao, Y., Sun, Y., Wang, H., Wang, D., … & Jia, F.

A systematic investigation of direct and indirect-cold atmospheric plasma treatment on Bacillus cereus and the application in black pepper.

Innovative Food Science & Emerging Technologies, 92, 103583.

Peng, H., Luo, Y., Teng, Z., Zhou, B., Pearlstein, D., Wang, D., … & Simko, I.

Genome-wide association mapping reveals loci for enzymatic discoloration on cut lettuce.

Postharvest Biology and Technology, 207, 112577.

Crandall, P. G., O'Bryan, C. A., Wang, D., Gibson, K. E., & Obe, T.

Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers.

Food Control, 110269.

Zhan, Y., Zhu, J., Schrader, L. C., & Wang, D.

Modeling and optimization of bioenergy production from co-digestion of poultry litter with wheat straw in anaerobic sequencing batch reactor: Response surface methodology and artificial neural network.

Applied Energy, 345, 121373.

Xiang, L., & Wang, D.^#

A Review of Three-dimensional Vision Techniques in Food and Agriculture Applications.

Smart Agricultural Technology, 100259.

Sethu, S., Nathan, S., Wang, D., Jayanthi, D., Seo, H., & Hogan, V. J.

Sensory predictive analysis of freshness of food products under different lighting conditions.

2023 International Conference on Networking and Communications (ICNWC), pp. 1-5. IEEE.

Li, Z., Wang, D.^*, Zhu, T., Ni, C., & Zhou, C.

SCNet: A deep learning network framework for analyzing near-infrared spectroscopy using short-cut.

Infrared Physics & Technology, 104731.

Allotey, D. K., Miezah Kwofie, E., & Wang, D.

Sustainability Implications of Adopting Industry 4.0 at Different Scales in the Poultry Processing Industry.

In Sustainable Manufacturing in Industry 4.0, pp. 143-156. Springer, Singapore.

Li, J.^*, Wang, D.^*, Pottenburgh, J., Bower, A. J., Asanad, S., Lai, W. C., … & Saeedi, O. J.

Visualization of erythrocyte stasis in the living human eye in health and disease.

iScience, 105755.

Yeboah, W. O., Kwofie, E. M., & Wang, D.

Circular bioeconomy potential of rice husk as a bioplastic resource: Techno-environmental assessment.

Bioresource Technology Reports, 20, 101248.

Sethu, S., & Wang, D.#

A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food.

arXiv preprint arXiv:2209.06967.

Sethu, S., Jayanthi D. & Wang, D.#

A Comprehensive Review of Deep Learning based Illumination Estimation.

preprints.org: 202302.0478.v1

Pallerla C., Xiang L. & Wang, D.#

Non-invasive Machine Vision Methods For Fish and Meat Quality Assessment.

Image Processing Applications.

Wang, C.^*, Hevaganinge, A.^*, Wang, D.^*, Ali, M., Cattaneo, M., and Tao, Y.

Prediction of Aqueous Glucose Concentration Using Hyperspectral Imaging.

2021 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3237-3240. IEEE.

Le, C., Wang, D., Villanueva R., Liu Z., Hammer D., Tao Y., and Saeedi, O.

Novel Application of Long Short-Term Memory Network for 3D to 2D Retinal Vessel Segmentation in Adaptive Optics—Optical Coherence Tomography Volumes.

Applied Sciences, 11, no. 20: 9475.

Chen, Z., Tsytsarev, V., Finfrock, Y.Z., Antipova, O.A., Cai, Z., Arakawa, H., Lischka, F.W., Hooks, B.M., Wilton, R., Wang, D., Liu, Y., and et.al.

Wireless Optogenetic Modulation of Cortical Neurons Enabled by Radioluminescent Nanoparticles.

ACS nano, 15(3), pp. 5201-5208.

Hao, L., Li, C., & Wang, D.

Quantitative analysis of the stacked autoencoder method in MIMO-ACO-OFDM VLC systems.

Lighting Research & Technology, 53(1), 54-73.

Wang, D., Haytham, A., Pottenburgh, J., Saeedi, O., & Tao, Y.

Hard attention net for automatic retinal vessel segmentation.

IEEE Journal of Biomedical and Health Informatics (JBHI), 24(12), 3384-3396.

Tao, Y., Wang, D.

Deep learning applications in Food.

International Union of Food Science and Technology (IUFoST) Scientific Information Bulletin (invited).

Ni, C., Li, Z., … & Wang, D.^#

Online Sorting of the Film on Cotton Based on Deep Learning and Hyperspectral Imaging.

IEEE Access, 8, 93028-93038.

Shi, J., Li, Z., Zhu, T., Wang, D.^#, & Ni, C.

Defect detection of industry wood veneer based on NAS and multi-channel mask R-CNN.

Sensors, 20(16), 4398.

Wang, D., Haytham, A., … & Saeedi, O.

Automated retinal microvascular velocimetry based on erythrocyte mediated angiography.

Biomedical optics express, 10(7), 3681-3697.

Wang, D., Vinson, R., … & Tao, Y.

Early Detection of Tomato Spotted Wilt Virus by Hyperspectral Imaging and Outlier Removal Auxiliary Classifier Generative Adversarial Nets (OR-AC-GAN).

Scientific Reports, 9(1), 4377.

Ni, C.^*, Wang, D.^*,#, & Tao, Y.

Variable weighted convolutional neural network for the nitrogen content quantization of Masson pine seedling leaves with near-infrared spectroscopy.

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 209, 32-39.

Ni, C.^*, Wang, D.^*, … & Tao, Y.

Automatic inspection machine for maize kernels based on deep convolutional neural networks.

Biosystems Engineering, 178, 131-144.

Hao, L.^*, Wang, D.^*, et.al.

Performance enhancement of ACO-OFDM-based VLC systems using a hybrid autoencoder scheme.

Optics Communications, 442, 110-116.

Hao, L.^*, Wang, D.^*, et.al.

The Extended SLM Combined Autoencoder of the PAPR Reduction Scheme in DCO-OFDM Systems.

Applied Sciences, 9(5), 852.

Wang, D., Vinson, R., … & Tao, Y.

Convolutional neural network guided blue crab knuckle detection for autonomous crab meat picking machine.

Optical Engineering, 57(4), 043103.

Ni, C., Zhang, Y., & Wang, D.

Moisture content quantization of Masson pine seedling leaf based on stacked autoencoder with near-infrared spectroscopy.

Journal of Electrical and Computer Engineering, 2018, 8696202.

Chen, L., & Wang, D.

An improved acquaintance immunization strategy for complex network.

Journal of Theoretical Biology, 385, 58-65. (2015)

Wang, M., Chen, L., Li, Q., Wang, D., Liu, Y., Zhang, Y., … & Shang, H.

An adaptive computer-aided tongue diagnosis method using colour-calibration preprocessing and multiple feature synthesis based on Android platform.

International Journal of Wireless and Mobile Computing, 9(3), 240-249. (2015)

Chen, L., Wang, D., et.al.

A novel automatic tongue image segmentation algorithm: Color enhancement method based on L* a* b* color space.

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 990-993. IEEE. (2015)

Wang, M., Wang, M., Wang, D., et.al.

The syndromes of lung cancer and compatibility of medicine in Traditional Chinese Medicine science treatment based on Clustering Algorithm.

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1070-1077. IEEE. (2015)