معرفی
Haifeng Wang is an Assistant Professor and Co-Graduate Coordinator in the Department of Industrial and Systems Engineering at Mississippi State University (MSU), part of the Bagley College of Engineering. He holds a Ph.D. from SUNY Binghamton (2019) and B.E. from Southeast University, China (2013). His research focuses on data-driven decision-making and intelligent control of complex systems through AI, optimization, and machine learning, with applications in healthcare, manufacturing, and robotics.
Education:
- Ph.D., Industrial and Systems Engineering, SUNY Binghamton, 2019
- M.S., Industrial and Systems Engineering, SUNY Binghamton, 2015
- B.E., Industrial Engineering, Southeast University, 2013
Research Interests: Dr. Wang explores methodologies like ensemble learning, neural networks, and real-time optimization, applied to warehouse management, supply chain systems, medical diagnostics (e.g., cancer prediction, ADHD analysis), and precision agriculture. His work emphasizes explainable AI and interdisciplinary collaboration.
Publications: His recent work spans federated learning for crop disease diagnosis, ECG-based COVID-19 detection, and AI-driven weed detection in cotton fields. These studies highlight his focus on real-world applications across healthcare, agriculture, and manufacturing.
Affiliations & Certifications: Member of IISE and INFORMS; Certified Lean Six Sigma Black Belt; member of Alpha Pi Mu (industrial engineering honor society).
Advising & Grants: While specific grants are not detailed, his research portfolio suggests active engagement in funded projects related to AI in healthcare and manufacturing optimization.
