NICE People
Members
Post Doctors (1)
Dr. Hien Thanh Doan
Post Doctor (BK4) (2023~)
Email: hiendoanht@sogang.ac.kr
Research Interest: Power Systems, P2P Trading, AI ACOPF
Ph.D. Candidates
Haejoong Lee (이해중)
Ph.D-Integrated Student (2020~)
Email: lhj910120@gmail.com
Research Interest: Energy AI, Meta Learning
Keunju Song (송근주)
Ph.D-Integrated Student (2021~)
Email: kjsong4089@gmail.com
Research Interest: Deep Learning, Energy Forecasting, AI ACOPF
Taeseop Park (박태섭)
Ph.D Student (2022.~)
Email: tspark408@naver.com
Research Interest: Deep Learning, Energy Forecasting, Model Predictive Control
Jihun Jeon (전지훈)
Ph.D-Integrated Student (2021.~)
Email: jihunpower@sogang.ac.kr
Research Interest: Electric Vehicle, SOH, AI
Minjae Son (손민재)
Ph.D-Integrated Student (2021.~)
Email: thsalswo536@gmail.com
Research Interest: Power Grid, Power Economics, AI, Sector Coupling, Reinforcement Learning
Yoonjin Lee (이윤진)
Ph.D Student (2023.~)
Email: yj11@sogang.ac.kr
Research Interest: AI/ML for 6G
Kyungnam Park (박경남)
Ph.D Student (2024~)
Email: kyungnam93@nate.com
Research Interest: Energy AI, Battery, Optimal Power Flow
Hojin Cheon (천호진)
Ph.D-Integrated Student (2022~)
Email: kirin0608@sogang.ac.kr
Research Interest: Electric Vehicle, SOH, AI, Physics-Informed Neural Network
Kyungyong Moon (문경용)
Ph.D-Integrated Student (2022.~)
Email: ruddy1117@hanmail.net
Research Interest: Power System, Optimal Power Flow, Quantum Computing
Yeji Lim (임예지)
Ph.D-Integrated Student (2023~)
Email: mni1lyj@naver.com
Research Interest: Deep Learning, Energy Forecasting, Decision-focused Learning
Hyungseok Seo(서형석)
Ph.D-Integrated Student (2023.~)
Email: fluorite@sogang.ac.kr
Research Interest: Material Discovery, Battery AI
M.S. Students
Daewoong Kim (김대웅)
MS Student (2024~)
Email: cracker2345@naver.com
Research Interest: Energy AI, Power Electronics
Sua Choi (최수아)
MS Student (2024~)
Email: sua8520@sogang.ac.kr
Research Interest: Energy AI, Optimal Power Flow, Unit Commitment
Hyunji Son (손현지)
MS Student (2024~)
Email: son_hyunjee@naver.com
Research Interest: AI, Constrastive learning
Prospective Graduate Students
Suho Park (박수호)
MS Student (2025~)
Email: ella8210@naver.com
Research Interest: High Performance Computing for AI
Undergraduate Intern
Ph.D. Alumni
Dr. Minsoo Kim (김민수)
2019.3~2022.8 (Ph.D.)
Dissertation: Learning to Solve Optimal Power Flow Leveraging Physics-Embedded Neural Network
Next Career: KENTECH Post Doctor
Dr. Hojin Kim (김호진)
2020.9~2023.2 (Ph.D.)
Dissertation: Carbon Neutral Cellular Network Operation based on Deep Reinforcement Learning
Next Career: Telit Wireless Solutions
Dr. Jaeik Jeong (정재익)
2017.3~2022.2 (Ph.D.)
Dissertation: Deep Learning and Reinforcement Learning for Renewable Energy Forecasting, Control, and Bidding
Next Career: Electronics and Telecommunications Research Institute (ETRI)
Dr. Seunghyoung Ryu (류승형)
2016.3~2020.2 (Ph.D.)
Dissertation: Deep Learning for Electric Load Data Analytics: Forecasting, Feature Extraction, and Missing Imputation
Next Career: Professor at Sejong University
Dr. Yohwan Choi (최요환)
2013.3~2019.2 (MS/Ph.D. Integrated)
Dissertation: Optimal Battery Management in Smart Grid: From System to Cell-scale Perspectives
Next Career: LG Energy Solution
Dr. Sunghwan Bae (배성환)
2012.9~2017.8 (MS/Ph.D. Integrated)
Dissertation: Power of Cooperation: Cognitive Radio Network and Renewable Energy Market Perspectives
Next Career: Apple, San Diego, USA
M.S. Alumni
Heejoo Kang (강희주)
2022.03~2024.02
Thesis: Federated Learning Exploiting Consensus ADMM by Nulling Drift
Next Career: Samsung Electronics
Ms. Inji Park (박인지)
2021.3~2023.2
Thesis: PV Power Forecasting Leveraging Split Learning for Ensuring Energy Privacy
Next Career: KEPCO
Mr. Bumsuk Lee (이범석)
2020.3~2022.2
Thesis: Federated Learning based on Consensus ADMM without Drift
Next Career: POSCO
Mr. Tae Seop Park (박태섭)
2020.3~2022.2
Thesis: Regular Curve Detection Model-based Solar Power Generation Forecasting
Next Career: Ph.D. Candidate at Sogang University
Mr. Jungsub Sim (심정섭)
2019.3~2021.2
Thesis: Cloud Energy Storage System Operation with Capacity P2P Transaction
Next Career: KEPCO Research Institute
Mr. Kyungnam Park (박경남)
2017.9~2019.8
Thesis: LSTM-based Battery Remaining Useful Life Prediction with Multi-Channel Charging Profiles
Next Career: Encored Technologies (Military Service)
Mr. Jungsoo Park (박정수)
2017.9~2019.8
Thesis: EV Charging Management System Concerning Trip Duration and Waiting Limit
Next Career: Hyundai Motor Group
Ms. Hyengeun Choi (최현근)
2017.3~2019.2
Thesis: Short-term Load Forecasting based on ResNet and LSTM
Next Career: SK Hynix
Ms. Joohee Lee (이주희)
2017.3~2019.2
Thesis: A New Distribution Energy Market Using Asynchronous Double Auction Mechanism
Next Career: SK Hynix
Ms. Suyeon Jang (장수연)
2017.3~2019.2
Thesis: Frequency Regulation Market Participation Algorithm Using Back-up Battery of Base Station
Next Career: Samsung Electronics
Mr. Kangsan Kim (김강산)
2015.9~2017.8
Thesis: Managing Load Uncertainty Using inter/intra-Day Scheduling of BESS/EV
Next Career: LG Electronics
Ms. Boram Kim (김보람)
2015.3~2017.2
Thesis: Optimal Energy Scheduling and Transaction Mechanism for Multiple Microgrids
Next Career: KT
Dr. Jangkyum Kim (김장겸)
2015.3~2017.2
Thesis: A Robust Operation Strategy of Energy Storage Systems with Uncertain Load Profiles
Next Career: Ph.D Student, KAIST, Currently, Sejong University
Dr. Jaeik Jeong (정재익)
2015.3~2017.2
Thesis: On Optimal Cell Flashing for Reducing Delay and Saving Energy in Wireless Networks
Next Career: Ph.D. Candidate at Sogang University, Currently, ETRI.
Ms. YoonJin Lee (이윤진)
2014.3~2016.2
Thesis: RCS based Target Recognition with Real FMCW Radar Implementation
Next Career: Hyundai Mobis
Dr. Seunghyoung Ryu (류승형)
2014.3~2016.2
Thesis: DNN based Customer Electric Load Forecasting
Next Career: Ph.D. Candidate at Sogang University, Currently, KAERI.
Dr. Sae Hong Park (박세홍)
2013.2~2015.2
Thesis: A Framework for Baseline Load Estimation in Demand Response: Data Mining Approach
Next Career: Ph.D. at University of California, Berkeley , Currently, Apple.
Dr. Gilsoo Lee (이길수)
2013.3~2015.2
Thesis: Device-Assisted Green Small Cell Operation in Wireless Networks
Next Career: Ph.D. at Virginia Tech, Currently, Bell Labs.
Ms. Hyeayoun Kim (김혜연)
2012.3~2014.2
Thesis: Spectrum Breathing and User Association for Load Balancing in Wireless Networks
Next Career: LG Mobile Convergence
Worldwide Coauthors/Collaborators
Prof. Vincent W.S. Wong, University of British Columbia, Canada
Prof. Gustavo de Veciana, The University of Texas at Austin, USA
Prof. Mung Chiang, Princeton University, USA
Prof. Robert W. Heath, Jr., The University of Texas at Austin, USA
Prof. Junshan Zhang, Arizona State University, USA
Prof. Bhaskar Krishnamachari, University of Southern California, USA
Prof. Jianwei Huang, Chinese University of Hong Kong, Hong Kong
Prof. Lachlan Andrew, Swinburne University of Technolgy, Australia
Prof. Yung Yi, KAIST, Korea
Prof. Chan-Byoung Chae, Yonsei University, Korea
Dr. Shahab Bahrami, University of British Columbia, Canada
Dr. Ken Budka, Bell Labs. Alcatel-Lucent, USA
Dr. Marina Thottan, Bell Labs. Alcatel-Lucent, USA
Dr. Jayant Deshpande, Bell Labs. Alcatel-Lucent, USA
Dr. Young-Jin Kim, Bell Labs. Alcatel-Lucent, USA
Dr. Jaehwan Lee, University of Maryland, USA
Dr. Kai Yang, Bell Labs. Alcatel-Lucent, USA
Dr. Sangtae Ha, Princeton University, USA
Dr. Prashanth Hande, Qualcomm, USA
Dr. Xiangying Yang, Apple, USA
Mr. Muthaiah Venkatachalam, Intel, USA
Dr. Liqun Fu, Chinese University of Hong Kong, Hong Kong
Dr. Yuan Wu, Hong Kong University of Science and Technology, Hong Kong
Dr. Kyuho Son, University of Southern California, USA
Mr. Lei Yang, Arizona State University, USA
Mr. Ioannis Kamitsos, Princeton University, USA
Mr. Jin Hee Kim, KT, Korea