SangWoo Park
SangWoo Park
Assistant Professor, Mechanical and Industrial Engr
266 Fenster Hall (FENS)
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
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
2025 Spring Courses
IE 790A - DOCTORAL DISSERTATION
IE 700B - MASTER'S PROJECT
IE 701C - MASTER'S THESIS
IE 726 - INDEPENDENT RESEARCH II
IE 481 - INVSTGTNS IN INDS ENGR I
IE 725 - INDEPENDENT RESEARCH I
EM 700B - MASTER'S PROJECT
IE 701B - MASTER'S THESIS
EM 725 - INDEPENDENT STUDY I
IE 792B - PRE DOCTORAL RESEARCH
IE 700B - MASTER'S PROJECT
IE 701C - MASTER'S THESIS
IE 726 - INDEPENDENT RESEARCH II
IE 481 - INVSTGTNS IN INDS ENGR I
IE 725 - INDEPENDENT RESEARCH I
EM 700B - MASTER'S PROJECT
IE 701B - 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
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.
Conference Proceeding
“Modeling circular supply chains resilience: A case study in fashion industry”
23rd Working Seminar on Production Economics, February 2024.
“Modeling Post-disruption Equilibrium for Circular Supply Chains and New Measures for Resilience”
International Material Handling Research Colloquium (IMHRC)/The College Industry Council on Material Handling Education (CICMHE)/Progress in Material Handling Research, June 2023.
“Distributed Power System State Estimation Using Graph Convolutional Neural Networks”
Proceedings of the Hawaii International Conference on System Sciences, January (1st Quarter/Winter) 2023.
“Diminishing regret for online nonconvex optimization”
2021.
“Homotopy method for finding the global solution of post-contingency optimal power flow”
2020.
23rd Working Seminar on Production Economics, February 2024.
“Modeling Post-disruption Equilibrium for Circular Supply Chains and New Measures for Resilience”
International Material Handling Research Colloquium (IMHRC)/The College Industry Council on Material Handling Education (CICMHE)/Progress in Material Handling Research, June 2023.
“Distributed Power System State Estimation Using Graph Convolutional Neural Networks”
Proceedings of the Hawaii International Conference on System Sciences, January (1st Quarter/Winter) 2023.
“Diminishing regret for online nonconvex optimization”
2021.
“Homotopy method for finding the global solution of post-contingency optimal power flow”
2020.
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Journal Article
Haixiang Zhang, SangWoo Park, Javad Lavaei, Ross Baldick. 2022. “Uniqueness of power flow solutions using graph-theoretic notions.” IEEE Transactions on Control of Network Systems, vol. 9, no. 1, pp. 100--112.
SangWoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi. 2022. “An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality.” IEEE Access/IEEE, vol. 10, pp. 124960 - 124978.
Julie Mulvaney-Kemp, SangWoo Park, Ming Jin, Javad Lavaei. 2022. “Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak–Lojasiewicz Regions.” IEEE Transactions on Control of Network Systems/IEEE, vol. 10, no. 2, pp. 599 - 611.
SangWoo Park, Reza Mohammadi-Ghazi, Javad Lavaei. 2021. “Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation.” IEEE Access, vol. 9, pp. 137198--137210.
SangWoo Park, Richard Y Zhang, Javad Lavaei, Ross Baldick. 2020. “Uniqueness of power flow solutions using monotonicity and network topology.” IEEE Transactions on Control of Network Systems, vol. 8, no. 1, pp. 319--330.
SangWoo Park, Qingyu Xu, Benjamin F Hobbs. 2019. “Comparing scenario reduction methods for stochastic transmission planning.” IET Generation, Transmission \& Distribution, vol. 13, no. 7, pp. 1005--1013.
Benjamin F Hobbs, Qingyu Xu, Jonathan Ho, Pearl Donohoo, Saamrat Kasina, Jasmine Ouyang, Sang Woo Park, Joseph Eto, Vijay Satyal. 2016. “Adaptive transmission planning: implementing a new paradigm for managing economic risks in grid expansion.” IEEE Power and Energy Magazine, vol. 14, no. 4, pp. 30--40.
SangWoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi. 2022. “An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality.” IEEE Access/IEEE, vol. 10, pp. 124960 - 124978.
Julie Mulvaney-Kemp, SangWoo Park, Ming Jin, Javad Lavaei. 2022. “Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak–Lojasiewicz Regions.” IEEE Transactions on Control of Network Systems/IEEE, vol. 10, no. 2, pp. 599 - 611.
SangWoo Park, Reza Mohammadi-Ghazi, Javad Lavaei. 2021. “Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation.” IEEE Access, vol. 9, pp. 137198--137210.
SangWoo Park, Richard Y Zhang, Javad Lavaei, Ross Baldick. 2020. “Uniqueness of power flow solutions using monotonicity and network topology.” IEEE Transactions on Control of Network Systems, vol. 8, no. 1, pp. 319--330.
SangWoo Park, Qingyu Xu, Benjamin F Hobbs. 2019. “Comparing scenario reduction methods for stochastic transmission planning.” IET Generation, Transmission \& Distribution, vol. 13, no. 7, pp. 1005--1013.
Benjamin F Hobbs, Qingyu Xu, Jonathan Ho, Pearl Donohoo, Saamrat Kasina, Jasmine Ouyang, Sang Woo Park, Joseph Eto, Vijay Satyal. 2016. “Adaptive transmission planning: implementing a new paradigm for managing economic risks in grid expansion.” IEEE Power and Energy Magazine, vol. 14, no. 4, pp. 30--40.
Chapter
Jonathan L Ho, Benjamin F Hobbs, Pearl Donohoo-Vallett, Qingyu Xu, Saamrat Kasina, SangWoo Park, Yueying Ouyang. 2016. “Planning transmission for uncertainty: Applications and lessons for the western interconnection.” The Western Electricity Coordinating Council