Our team

PRINCIPAL INVESTIGATOR

Jinkyoo Park


— EDUCATION

  • Ph.D. in Civil and Environmental Engineering, Stanford University (2016.3)
  • M.S. in Electrical Engineering, Stanford University (2015.12)
  • M.S. in Civil, Architectural, and Environmental Engineering, UT-Austin (2011.9)
  • B.S. in Architectural Engineering, Seoul National University (2009.2)

— WORKING EXPERIENCE

  • Assistant Professor, Department of Industrial and Systems Engineering, KAIST (2016.4 ~ current)

— RESEARCH INTERESTS

  • Development of data-driven, probabilistic optimization algorithms
  • Big data analytics using sparse and local 
  • Gaussian Process regression
  • Cooperative control of multi-agent systems
  • Design, monitoring and control of renewable energy systems (e.g., wind farms)
  • Health monitoring and condition based maintenance for large-scale infrastructures
  • Monitoring and control of smart manufacturing systems

— TEACHING INTERESTS

  • Machine learning/Data mining 
  • Decision-making under uncertainty
  • Predictive maintenance using sensor monitoring data 
  • Embedded computing for wireless sensor networks and controls

— AWARDS & HONORS

  • Best Paper Award for Manufacturing Engineering Division (MED), 2015
  • ASME International Manufacturing Science and Engineering Conference (MSEC 2015), Charlotte, NC, U.S., Jul 8-12,
  • 2015 Best Research Paper Award in the Area of Resilience and Smart Structures, 2013
  • ASCE InternationalWorkshop on Computing in Civil Engineering, Los Angeles, CA, U.S., June 23-25, 2013
  • ILJU Foundation Fellowship, 2011-2015
  • University of Texas at Austin Graduate School Fellowship, 2009-2010
  • Distinguished Graduate for Engineering School of Seoul National University, 2009
  • Pony Chung Foundation Fellowship, 2008-2009

Ph.D. Candidates

Ph.D. Candidate

Junyoung Park


EDUCATION

B.S. in Industrial and Systems Engineering, KAIST (2016.2)

RESEARCH INTERESTS

Dynamic System Modelling with Deep Learning, Probabilistic Deep Learning, Dynamic System Control

“一以貫之”

Ph.D. Candidate

Yohan Jeong


EDUCATION

M.S. in Industrial and Systems Engineering, KAIST (2018.2)
B.S. in Mathematics, University of Seoul (2016.2)

RESEARCH INTERESTS

Gaussian Process, Probabilistic Machine Learning, Sequential Latent Model and Variational Inference

“Stay hungry, stay foolish!”

Ph.D. Candidate

Kyuree Ahn


EDUCATION

M.S. in Industrial and Systems Engineering, KAIST (2018.2)
B.S. in Mathematical Sciences, KAIST (2016.2)

RESEARCH INTERESTS

Multi-Agent Reinforcement Learning, Game Theory

“苟日新 日日新 又日新”

Ph.D. Candidate

Jaeyeon Jo


EDUCATION

M.S. in Industrial and Systems Engineering, KAIST (2020.8)
B.S. in Industrial and Systems Engineering, KAIST (2019.2)

RESEARCH INTERESTS

Game Theory, Multi-Agent System

Ph.D. Candidate

Chihyeon Song


EDUCATION

M.S. in Industrial and Systems Engineering, KAIST (2021.2)
B.S. in Mathematical Sciences, KAIST (2019.2)
B.S. in Industrial and Systems Engineering, KAIST (2019.2)

RESEARCH INTERESTS

Mean Field Game Theory, Smart Energy Storage Systems Control

Ph.D. Candidate

Hyeonah Kim


EDUCATION

M.S in Industrial Engineering, Seoul Natioanl Univ. (2021.2)
 B.S in Industrial Engineering, HANYANG Univ. (2015.2)

RESEARCH INTERESTS

Game Theory, Mult-Agent System, Decentralized Optimization

Ph.D. Candidate

Jaehyuk Yi


EDUCATION

M.S. in Industrial and Systems Engineering, KAIST (2021.2)
B.S. in School of Computing, KAIST (2019.2)

RESEARCH INTERESTS

Graph Network, Distributive Deep Learning

Ph.D. Candidate

Jinwoo Park


EDUCATION

B.S. in Department of Mathematical Sciences, KAIST(2020.2)

RESEARCH INTERESTS

Reinforcement Learning, Statistical Analysis, Modeling, Optimization

Ph.D. Candidate

Minjun Kim


EDUCATION

M.S. in Industrial and Systems Engineering, KAIST (2017.2)
B.S. in Industrial and Systems Engineering, KAIST (2014.8)


EDUCATION

Multi-Agent Reinforcement Learning, Operation of Ride-sharing Platform.


M.S. Candidates

M.S. Candidate

Kanghoon Yoon


EDUCATION

B.S. in Mathematics, Hanyang University (2019.2)

RESEARCH INTERESTS

Representation Learning, Deep latent variable model, Neural Point Process, Graph Neural Network

“Do it first.”

M.S. Candidate

Fangying Chen


EDUCATION

B.S. in Chemical Engineering, University of Queensland (2018. 12)

RESEARCH INTERESTS

Deep Learning, Machine Learning

M.S. Candidate

Kanghoon Lee


EDUCATION

B.S. in Industrial and Systems Engineering, KAIST (2020.2)
B.S. in School of Computing, KAIST (2020.2)

RESEARCH INTERESTS

Reinforcement Learning, Deep Learning

M.S. Candidate

Federico Berto


EDUCATION

B.S. in Automation Engineering, Tongji University (2020.6)
B.S. in Automation Engineering, University of Bologna (2019.7)

RESEARCH INTERESTS

Dynamical Systems Control, Neural Differential Equations, Machine Learning, Reinforcement Learning

“Faber est suae quisque fortunae”

M.S. Candidate

Chuanbo HUA


EDUCATION

B.S. in Mathematical Sciences, Harbin Institute of Technology (2020.6)

RESEARCH INTERESTS

Graph Neural Network, Differential Equation Machine Learning

M.S. Candidate

Haewon Jung


EDUCATION

B.S. in Industrial and Systems Engineering, KAIST (2021.2)

RESEARCH INTERESTS

Reinforcement Learning, Graph Neural Network

M.S. Candidate

Jihwan Yu


EDUCATION

B.S. in Mathematical Sciences, KAIST (2021.2)

RESEARCH INTERESTS

Game Theory, Multi-Agent Reinforcement Learning

Undergraduate

No members found

Alumni

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Name
Designation
Short Description
Social Links
Joonho Bae
M.S. 19

He is now at Ph.D. course in Technology & Operations, University of Michigan, Ann arbor.

Seongcheol Woo
M.S. 19

He is now working at KITECH (Korea Institute of Industrial Technology) as a researcher.

Woojin Cho
M.S. 19
Jaehyeong Chun
M.S. 20
Seunghoon Lee
M.S. 20
Juneyoung Yeon
M.S. 20
Hyunsoo Sim
M.S. 20
Sanjar Bakhtiyarov
Sanjar Bakhtiyarov
M.S. 20
Michael Poli
M.S. 20

Administrative Officer

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Name
Designation
Short Description
Social Links
Jihye Jung
Administrative Officer