SangWoo Park
SangWoo Park
Assistant Professor, Mechanical and Industrial Engr
266 Fenster Hall
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
2023 Fall Courses
IE 790A - DOCTORAL DISSERTATION
IE 790C - DOC DISSERTATION & RES
IE 441 - INFO & KNOW ENGR SYSTEMS
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 790D - DOC DISSERTATION & RES
IE 725 - INDEPENDENT RESEARCH I
IE 790B - DOCTORAL DISSERTATION
EM 700B - MASTER'S PROJECT
IE 701B - MASTER'S THESIS
EM 701C - MASTER'S THESIS
EM 725 - INDEPENDENT STUDY I
IE 790C - DOC DISSERTATION & RES
IE 441 - INFO & KNOW ENGR SYSTEMS
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 790D - DOC DISSERTATION & RES
IE 725 - INDEPENDENT RESEARCH I
IE 790B - DOCTORAL DISSERTATION
EM 700B - MASTER'S PROJECT
IE 701B - MASTER'S THESIS
EM 701C - MASTER'S THESIS
EM 725 - INDEPENDENT STUDY I
Office Hours
Monday 10:30am - 12:00pm
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 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
Monotonicity between phase angles and power flow and its implications for the uniqueness of solutions
2019
Topology error detection and robust state estimation using nonlinear least absolute value
2019
What is the Benefit of Including Uncertainty in Transmission Planning? A WECC Case Study
2016
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
Monotonicity between phase angles and power flow and its implications for the uniqueness of solutions
2019
Topology error detection and robust state estimation using nonlinear least absolute value
2019
What is the Benefit of Including Uncertainty in Transmission Planning? A WECC Case Study
2016
Journal Article
Zhang, Haixiang, & Park, SangWoo, & Lavaei, Javad, & Baldick, Ross (2022). Uniqueness of power flow solutions using graph-theoretic notions. IEEE Transactions on Control of Network Systems, 9(1), 100--112.
Park, SangWoo, & Glista, Elizabeth, & Lavaei, Javad, & Sojoudi, Somayeh (2022). An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality. IEEE Access/IEEE, 10, 124960 - 124978.
Mulvaney-Kemp, Julie, & Park, SangWoo, & Jin, Ming, & Lavaei, Javad (2022). Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak–Lojasiewicz Regions. IEEE Transactions on Control of Network Systems/IEEE, 10(2), 599 - 611.
Park, SangWoo, & Mohammadi-Ghazi, Reza, & Lavaei, Javad (2021). Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation. IEEE Access, 9, 137198--137210.
Park, SangWoo, & Zhang, Richard, & Lavaei, Javad, & Baldick, Ross (2020). Uniqueness of power flow solutions using monotonicity and network topology. IEEE Transactions on Control of Network Systems, 8(1), 319--330.
Park, SangWoo, & Xu, Qingyu, & Hobbs, Benjamin (2019). Comparing scenario reduction methods for stochastic transmission planning. IET Generation, Transmission \& Distribution, 13(7), 1005--1013.
Hobbs, Benjamin, & Xu, Qingyu, & Ho, Jonathan, & Donohoo, Pearl, & Kasina, Saamrat, & Ouyang, Jasmine, & Park, Sang, & Eto, Joseph, & Satyal, Vijay (2016). Adaptive transmission planning: implementing a new paradigm for managing economic risks in grid expansion. IEEE Power and Energy Magazine, 14(4), 30--40.
Park, SangWoo, & Glista, Elizabeth, & Lavaei, Javad, & Sojoudi, Somayeh (2022). An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality. IEEE Access/IEEE, 10, 124960 - 124978.
Mulvaney-Kemp, Julie, & Park, SangWoo, & Jin, Ming, & Lavaei, Javad (2022). Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak–Lojasiewicz Regions. IEEE Transactions on Control of Network Systems/IEEE, 10(2), 599 - 611.
Park, SangWoo, & Mohammadi-Ghazi, Reza, & Lavaei, Javad (2021). Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation. IEEE Access, 9, 137198--137210.
Park, SangWoo, & Zhang, Richard, & Lavaei, Javad, & Baldick, Ross (2020). Uniqueness of power flow solutions using monotonicity and network topology. IEEE Transactions on Control of Network Systems, 8(1), 319--330.
Park, SangWoo, & Xu, Qingyu, & Hobbs, Benjamin (2019). Comparing scenario reduction methods for stochastic transmission planning. IET Generation, Transmission \& Distribution, 13(7), 1005--1013.
Hobbs, Benjamin, & Xu, Qingyu, & Ho, Jonathan, & Donohoo, Pearl, & Kasina, Saamrat, & Ouyang, Jasmine, & Park, Sang, & Eto, Joseph, & Satyal, Vijay (2016). Adaptive transmission planning: implementing a new paradigm for managing economic risks in grid expansion. IEEE Power and Energy Magazine, 14(4), 30--40.
Chapter
Ho, Jonathan, & Hobbs, Benjamin, & Donohoo-Vallett, Pearl, & Xu, Qingyu, & Kasina, Saamrat, & Park, SangWoo, & Ouyang, Yueying (2016). Planning transmission for uncertainty: Applications and lessons for the western interconnection, .