NICE People

Members 

Post Doctors (1)

Dr. Hien Thanh Doan

Post Doctor (BK4) since 2023 Spring

Email:  hiendoanht@sogang.ac.kr

Research Interest: Power Systems, P2P Trading


Ph.D. Candidates (11)

Minsoo Kim (김민수)

Ph.D/MS-Integrated Student since 2019 Spring

Email: minsookim@sogang.ac.kr

Research Interest: Optimal Control, Deep Reinforcement Learning, Energy Forecasting


Haejoong Lee (이해중)

Ph.D/MS-Integrated Student since 2020 Spring

Email: lhj910120@gmail.com

Research Interest: Energy AI, Reinforcement Learning


Taeseop Park (박태섭)

Ph.D Student since 2022 Fall

Email: tspark408@naver.com

Research Interest:  Deep Learning, Energy Forecasting

Keunju Song (송근주)

Ph.D/MS-Integrated Student since 2021 Spring

Email: kjsong4089@gmail.com

Research Interest: Deep Learning, Energy Forecasting


Yoonjin Lee(이윤진)

Ph.D Student since 2023 Fall

Email: yj11@sogang.ac.kr

Research Interest: AI for 6G


Kyungnam Park (박경남)

PhD Student since 2024 Spring

Email: kyungnam93@nate.com

Research Interest:   Energy AI, Battery, Optimal Power Flow


Jihun Jeon (전지훈)

Ph.D/MS-Integrated Student since 2021 Fall

Email: jihunpower@sogang.ac.kr

Research Interest:  Electric Vehicle, SOH, AI


Minjae Son (손민재)

Ph.D/MS-Integrated Student since 2021 Fall

Email: thsalswo536@gmail.com

Research Interest: Power Grid, Power Economics, AI, Sector Coupling


Hojin Cheon (천호진)

Ph.D/MS-Integrated Student since 2022 Spring

Email: kirin0608@sogang.ac.kr

Research Interest:  Electric Vehicle, SOH, AI


Kyungyong Moon (문경용)

Ph.D/MS-Integrated Student since 2022 Fall

Email: ruddy1117@hanmail.net

Research Interest:  Power System, Optimal Power Flow, Quantum Computing


Hyungseok Seo(서형석)

Ph.D/MS-Integrated Student since 2023 Fall

Email: fluorite@sogang.ac.kr

Research Interest:  Material Discovery, Battery, AI


M.S. Level Students (5)

Yeji Lim (임예지)

M.S. Student since 2023 Spring

Email: mni1lyj@naver.com 

Research Interest:  Deep Learning, Energy Forecasting


Sua Choi (최수아)

MS Student since 2024 Spring

Email: sua8520@sogang.ac.kr

Research Interest:   Energy AI, Optimal Power Flow


Daewoong Kim (김대웅)

MS/PhD Integrated Student since 2024 Spring

Email: cracker2345@naver.com

Research Interest:   Energy AI, Federated Learning


Hyunji Son (손현지)

MS Student since 2024 Spring

Email: son_hyunjee@naver.com

Research Interest:   

Prospective Graduate Students 

Undergraduate Intern

Ph.D. Alumni 

Dr. Hojin Kim (김호진)

2020.9~2023.2 (Ph.D.)

Email: hjkim06@sogang.ac.kr

Research Interest: Wireless AI, Mobility Management, 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: Korea Atomic Energy Research Institute

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