SangWoo Park

SangWoo Park is an Assistant Professor in the Department of Mechanical and Industrial Engineering at the New Jersey Institute of Technology (NJIT). He holds a B.S. in Environmental Engineering from Johns Hopkins University (2016), and M.S. and Ph.D. in Industrial Engineering and Operations Research from the University of California, Berkeley (2017 and 2022, respectively). His research focuses on power systems optimization, supply chain resilience, and AI-driven engineering solutions. He is a recipient of the 2020 American Control Conference Best Student Paper Award.

Education Background:

• Ph.D., Industrial Engineering and Operations Research, UC Berkeley (2022)
• M.S., Industrial Engineering and Operations Research, UC Berkeley (2017)
• B.S., Environmental Engineering, Johns Hopkins University (2016)

Research interests include:

• Power grid operations and resiliency
• Circular supply chain modeling
• Advanced optimization algorithms
• Machine learning applications in energy systems

His work bridges theoretical optimization with practical engineering challenges, such as anomaly detection in smart grids and post-disaster supply chain recovery.

Awards:

• Best Student Paper Award, 2020 American Control Conference

Professional Activities:

• Office Hours: Monday 10:30 AM–12:00 PM
• Website: https://sangwoopark-njit.github.io/