SangWoo Park

Assistant Professor, Mechanical & Industrial Engineering
About Me
SangWoo Park received the B.S. degree in environmental engineering from Johns Hopkins University, Baltimore, MD, USA, in 2016, and the M.S. and Ph.D. degrees in industrial engineering and operations research from the University of California, Berkeley, Berkeley, CA, USA, in 2017 and 2022, respectively. He is currently an Assistant Professor in mechanical and industrial engineering with the New Jersey Institute of Technology, Newark, NJ, USA. He was a recipient of the Best Student Paper Award of 2020 American Control Conference.
Education
Ph.D.; University of California-Berkeley; Industrial Engineering and Operations Research; 2022
M.S.; University of California-Berkeley; Industrial Engineering and Operations Research; 2017
B.S.; Johns Hopkins University; Environmental Engineering; 2016
Office Hours
Monday 10:30am - 12:00pm
Website
https://sangwoopark-njit.github.io/
2026 Fall Courses
IE 790A - DOCTORAL DISSERTATION
EM 726 - INDEPENDENT STUDY II
IE 700B - MASTER'S PROJECT
IE 701C - MASTER'S THESIS
IE 726 - INDEPENDENT RESEARCH II
EM 701B - MASTER'S THESIS
IE 481 - INVSTGTNS IN INDS ENGR I
IE 725 - INDEPENDENT RESEARCH I
EM 700B - MASTER'S PROJECT
IE 701B - MASTER'S THESIS
EM 701C - MASTER'S THESIS
EM 725 - INDEPENDENT STUDY I
IE 792B - PRE DOCTORAL RESEARCH
Teaching Interests
Management of information systems, data analytics, statistical learning, linear optimization, nonlinear optimization, integer optimization, convex optimization, power systems operations and design.
Past Courses
EM 655: MANAGEMENT ASPECTS OF INFORMATION SYSTEMS
IE 441: INFORMATION AND KNOWLEDGE ENGINEERING
Research Interests
Design and analysis of algorithms for complex and large scale optimization problems, mainly related to electric power systems. Other application areas include transportation systems, healthcare systems and supply chains. Current research topics include: reinforcement learning for the optimal pricing of incentives in demand response with heterogeneous consumers; convolutional neural network for power system state estimation; anomaly detection in power systems using context-agnostic learning; optimizing routes for the multi pickup and delivery problem with time windows, dynamic power grid using swarm robotics, dynamic bin allocation problem for parcel sorting.
Other
"Degradation-Aware Pumping Control of Variable-Speed Pumped Storage via Residual Reinforcement Learning"
https://arxiv.org/abs/2607.06911, 2026.
"Stochastic Multi-Segment Scheduling of Variable-Speed Pumped Storage Hydropower for Energy and Ancillary Services Provision"
https://arxiv.org/abs/2607.15460, 2026.
"Computational Methods for the Design and Operations of Electric Power Systems: Towards Resiliency and Security"
University of California, Berkeley, 2022.
Journal Article
Mohammadali Rashidioun, SangWoo Park, Petras Swissler. 2026. "DeRP: An Algorithm for Self-Assembly of Power-Delivery Networks using Recursive Branching in Information-Limited Environments." arXiv preprint arXiv:2608.02904.
Sungwook Cho, SangWoo Park, Seong S Cheon. 2026. "Design of multi-density foam-cell headrest using focus scattering whale optimisation." International Journal of Crashworthiness, pp. 1--28.
Amin Taghieh, SangWoo Park. 2026. "Stability of Data-Driven Predictive Control for Nonlinear Systems via Koopman Embeddings." IEEE Control Systems Letters.
Bahareh Kargar, Elson Cibaku, SangWoo Park. 2025. "Assessing the Value of Heterogeneous Elasticities for Incentive-based Residential Demand Response." IEEE Access, vol. 13, pp. 129900--129910.
Ahmad Al-Tawaha, Elson Cibaku, SangWoo Park, Javad Lavaei, Ming Jin. 2025. "Distributed optimization and distributed learning: A paradigm shift for power systems." IEEE Systems Journal.
Francesco Cafforio, SangWoo Park, Ilaria Giannoccaro, Layek Abdel-Malek. 2025. "Resilience of Circular Supply Chains: Analyzing the Impact of Take-Back Strategies via Efficient Computation of Post-Disturbance Equilibrium." Sustainable Development.
Conference Proceeding
"Optimal Reconfiguration of Distributed Battery Networks Under Connectivity and Energy Constraints"
2026.
"Optimal Scheduling of Road Maintenance Jobs Considering Impact on Traffic Flows"
2026.
"Learning Koopman Observables via Kolmogorov-Arnold Networks for Power System Transient Analysis and Model Predictive Control"
2025.
"Power System Anomaly Detection via Context-Aware Learning"
2025.
"Modeling circular supply chains resilience: A case study in fashion industry"
2024.
"Distributed Power System State Estimation Using Graph Convolutional Neural Networks"
2023.
Technical Report
"Generative AI for power grid operations"
National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2024.