معرفی
Dr. Shouyi Wang is an Associate Professor in the Department of Industrial and Manufacturing Systems Engineering at The University of Texas at Arlington. He holds a Ph.D. from Rutgers University and has held research positions at the University of Washington. His research focuses on data analytics, decision analytics, machine learning, and AI applications in healthcare, energy, agriculture, and manufacturing. Dr. Wang has led multiple federally funded projects, including initiatives on smart manufacturing, fire ant control, and energy market optimization. He has received numerous awards, including honors from INFORMS and IISE for his work in data science and healthcare applications.
Education:
- B.S. in Control Science and Engineering, Harbin Institute of Technology (2003)
- M.S. in Systems and Control Engineering, Delft University of Technology (2005)
- Ph.D. in Industrial and Systems Engineering, Rutgers University (2012)
Research Interests: Development of advanced data mining, optimization, and machine learning methods applied to healthcare, energy, agriculture, and manufacturing industries. Specific areas include respiratory motion prediction, radiation therapy planning, and AI-driven systems for pest control.
Grants & Funding: Over $4M in grants from NSF, USDA, Foxconn, and others. Notable projects include:
- FDA-approved CRISPR-Cas protein design using AI
- Fire ant control via AI-driven smart systems
- Energy market demand response optimization
Awards:
- 2nd Place, INFORMS Data Mining Society (2024)
- Best Paper Runner-Up, IISE QCRE Data Challenge (2022)
- Foxconn Innovation Award for Smart Manufacturing (2018)
Advising: Supervised over 30 graduate students in interdisciplinary research areas including machine learning, healthcare analytics, and manufacturing systems. Current advisees focus on protein engineering and medical imaging analytics.
Labs & Collaborations: Leads research in UTA's Data Science and Decision Analytics group. Collaborates with UT Southwestern Medical Center, USDA, and industry partners like Foxconn and NVIDIA. Active in the iPerform Center for Assistive Technologies (2014-2022).
