In General
Haifeng Wang is an Assistant Professor at Mississippi State University in the Department of Industrial and Systems Engineering, within the Bagley College of Engineering. His research develops optimization-based frameworks for machine learning model interpretation and robustness improvement with applications in medical image analysis, neurological disorder diagnosis, weed detection in precision agriculture, smart electronics manufacturing, and other large-scale heterogeneous data. Prior to joining the Mississippi State University, he obtained his Ph.D. and M.S. in Industrial and Systems Engineering from the State University of New York at Binghamton in 2019 and 2015, respectively, and a B.S. degree in Industrial Engineering from Southeast University in China in 2013. His publications have appeared in journals such as EJOR, RCIM, IISE Transactions, Expert Systems with Applications and conference proceedings, such as IEEE ICHI, IEEE BIBM, and ACM BCB. He is a member of IEEE Computer Society, IISE, and INFORMS. Dr. Wang is also a certified Lean Six Sigma Black Belt and a member of Alpha Pi Mu.

Health Informatics Focus
Dr. Haifeng Wang is an Assistant Professor at Mississippi State University in the Department of Industrial and Systems Engineering. His research develops optimization-based frameworks for machine learning model interpretation and robustness improvement with applications in medical image analysis, neurological disorder diagnosis, and other large-scale heterogeneous data. Before joining Mississippi State University, he obtained his Ph.D. and M.S. in Industrial and Systems Engineering from Binghamton University in 2019 and 2015, respectively, and a B.S. degree in Industrial Engineering from Southeast University in China in 2013. Dr. Wang has over 10 years of experience with computer-aided diagnosis. His lab has been working on ADHD diagnosis, head & neck cancer, lung cancer, retinal disorder, breast cancer, and thyroid cancer diagnosis using different imaging modalities, such as EEG, PSG, CT, PET, OCT, MRI, and SRS. He has over 70 publications and his papers have appeared in journals such as Nature Scientific Data, Medical Physics, Neurocomputing, and Biomedical Signal Processing and Control. Dr. Wang's research has been funded by different state and federal agencies including NIH, USDA NIFA.