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Yonsei University Alumni



Jehyun Park

Jehyun Park

2018.03~2023.02   Ph.D., Yonsei University , School of Mechanical Engineering.
2023.03~2024.02   Postdoctoral Researcher, Yonsei University, School of Mechanical Engineering.
2024.08~Present   Senior Research Engineer, Hyundai Motor Company., Vehicle Control Technology Development Team

E-mail: jehyunpark@hyundai.com
Research Interest: Machine Learning and Artificial Intelligence




jeong seungwoo

Seungwoo Jeong

2019.03~2024.08   Ph.D., Yonsei University , School of Mechanical Engineering.
2024.09~Present   Senior Research Engineer, Korea Railroad Research Institute.,
      Department of Advanced Logistics System Research, Innovative Transportation and Logistics Research Center

E-mail: swjeong@krri.re.kr
Research Interest: Numerical Method, Optimization, Parallel Processing, Graphical Model




Sungweon Kim

Sungweon Kim

20XX.XX~20XX.XX   Ph.D., Yonsei University , School of Mechanical Engineering.
To be updated soon
E-mail: shane16@yonsei.ac.kr
Research Interest: Robust RL, Sim2Real, AutoML




hyunwoo ryu

Hyunwoo Ryu

2022.03~2024.02   M.S., Yonsei University, Department of Artificial Intelligence.
2024.08~Present   Ph.D. Student, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science.

E-mail: hwryu@mit.edu
Research Interest: SE(3)-equivariant Generative Modeling for Robotic Manipulation.




seoyeon choi

Seoyeon Choi

2019.03~2023.08   B.S., Yonsei University, School of Mechanical Engnineering.
2024.08~Present   M.S./Ph.D. Student, University of California Berkeley, Department of Mechanical Engineering.

E-mail: seoyeon99@yonsei.ac.kr (To be updated)
Research Interest: Control, Robotics.




jiwoo kim

Jiwoo Kim

2019.03~2024.02   B.S., Yonsei University, School of Electrical and Electronic Engineering
. 2024.08~Present   Ph.D. Student, Duke University, Department of Electrical and Computer Engineering.

E-mail: jiwoo.kim@duke.edu
Research Interest: Robotics, ML.




yoon kyebaek

Kyubaek Yoon

2018.03~2023.02   Ph.D., Yonsei University, School of Mechanical Engineering.
2023.03~2024.02   Postdoctoral Researcher, Yonsei University , School of Mechanical Engineering.
2024.03~Present   Research Professor, Ewha Womans University , College of Artificial Intelligence.

E-mail: yoonkb1707@ewha.ac.kr
Research Interest: Deep learning, Medical AI, Medical Image Analysis




Heejin Yu

Heejin Yu

2017.03~2023.08   Ph.D., Yonsei University, School of Mechanical Engineering.
2023.09~2024.02   Postdoctoral Researcher, Yonsei University, School of Mechanical Engineering.
2024.03~Present   Machine Learning Modeler, Toss bank, Machine learning Platform Team.

E-mail: heejin.yu@tossbank.com
Research Interest: Deep learning, Medical AI and Image Analysis




Myounghoe Kim

Myounghoe Kim

2017.03~2023.08   Ph.D., Yonsei University , School of Mechanical Engineering.
2023.09~2024.02   Postdoctoral Researcher, Yonsei University, School of Mechanical Engineering.
2024.04~Present   Senior Research Engineer, Hyundai Motor Company. Institute of Advanced Technology Development (IATD)

E-mail: mhkim@hyundai.com
Research Interest: Autonomous Vehicle, Reinforcement Learning, and Deep Learning




taekhyung cho

Taekhyung Cho

2022.03~2024.02   M.S., Yonsei University, Department of Vehicle Convergence Engineering.
2024.02~Present   Research Engineer, Hyundai Motor Company. Autonomous Driving Recognition Development Team

E-mail: taekhyung.cho@hyundai.com
Research Interest: Deep learning Sensor fusion Parameter Estimation




choi byounghyun

Byounghyun Choi

2020.03~2022.02   M.S., Yonsei University, Department of Vehicle Convergence Engineering.
2022.02~Present   Research Engineer, Hyundai Motor Company.

E-mail: cbh4635@yonsei.ac.kr
Research Interest: Machine Learning, Intelligent Control Systems



choi byounghyun

Jeonghoon Lee

2019.03~2021.08   M.S., Yonsei University, School of Mechanical Engineering.
2022.08~Present   ML Researcher, Samsung Research.

E-mail: ljh_0921@yonsei.ac.kr
Research Interest: Hierarchical Reinforcement Learning



seungchul ha

Seungchul Ha

2017.03~2021.08   M.S., Yonsei University, School of Mechanical Engineering.
2021.08~2022.09   Research Engineer, T-Robotics.
2022.08~Present   Research Engineer, Hanwha Robotics. AGV Development Team (S/W Part) R&D Center

E-mail: seungchul0406@hanwha.com
Research Interest: Mobile Robot, Estimation Theory, Machine Learning, CNN



joohwan seo

Joohwan Seo

2019.03~2021.02   M.S., Yonsei University, School of Mechanical Engineering.
2021.08~Present   Ph.D. Candidate, UC Berkeley. Computer Mechanics Lab (CML)

E-mail: Joohwan_seo@berkeley.edu
Joohwan Seo received his B.S. degree in Mechanical engineering from Yonsei University at Seoul, South Korea in 2019, where he is currently pursuing the M.S. degree. He worked in Machine Learning and Control Systems (MLCS) Laboratory. Now he is pursuing his Ph.D. degree in Department of Mechanical Engineering at University of California, Berkeley. His resedarch interests include nonlinear control, learning-based control, and reinforcement learning, with applications to unmanned aerial vehicles (UAV) and robots.



joohwan seo

Seongwon Lee

2021.02   B.S. degree, Yonsei University, School of Mechanical Engineering.
2021.08~Present   Ph.D. Student, University of Illinois Urbana-Champaign, Department of Mechanical Science and Engineering

E-mail: sl148@illinois.edu
Seongwon Lee received his B.S. degree in Mechanical Engineering from Yonsei University at Seoul, South Korea in 2021. He is now pursuing his Ph.D. degree in Department of Mechanical Science and Engineering at University of Illinois Urbana-Champaign. His research interests include machine learning, deep reinforcement learning, autonomous driving, nonlinear control, and mechatronics system, with applications to unmanned aerial vehicles (UAV) and ground vehicles.



daewoong hwang

Daewoong Hwang

2019.03~2021.02   M.S., Yonsei University, Department of Vehicle Convergence Engineering.
2021.02~Present   Research Engineer, Hyundai Motor Company.

E-mail: daewoong0@hyundai.com
Research Interest: Control, Deep Learning



Sunje Lee

Sunje Lee

2017.03~2020.02   M.S., Yonsei University , School of Mechanical Engineering.

Research Interest: Control systems.



lee hyeonwoo

Hyeonwoo Lee

2020.03~2022.08   M.S., Yonsei University, School of Mechanical Engineering.
2022.09~Present   Ph.D. Candidate, KAIST. EE Urban Robotics Lab

E-mail: hyeonwoolee@kaist.ac.kr



jongin han

Jongin Han

2015.03~2023.02   Ph.D., Yonsei University , School of Mechanical Engineering.
2023.01~Present   Postdoctoral Researcher, KIST.

E-mail: gmiilp1318@kist.re.kr


Michigan State University Alumni




Connor Boss

Connor Boss

Department of Electrical and Computer Engineering, Michigan State University.
Ph.D. degree, Summer 2015-Fall 2017 (swiched advisor).

Current coordinate: linkedin
Connor J. Boss received his B.S. and Ph.D. degrees in electrical engineering from Michigan State University in 2015 and 2021, respectively. He is currently Senior Professional Sta in the Space Exploration Sector at The Johns Hopkins University Applied Physics Laboratory. His research interests include the development and analysis of control systems, embedded system development, and the control of multirotor unmanned aerial vehicles. His past research experience includes system identification and modeling of human motor control.



Ahmed Ramadan

Ahmed Ramadan

Department of Mechanical Engineering, Michigan State Unievrsity.
Ph.D. degree, Summer 2014-Summer 2018.

Current coordinate: linkedin



Huan Do

Huan N. Do

Department of Mechanical Engineering, Michigan State Unievrsity.
Ph.D. degree, Fall 2013-Spring 2017.
Current coordinate: linkedin

Huan Do earned his Bachelor of Science with a Cum Laude Honor in Mechanical Engineering from Korean Advanced Institute of Science and Technology (KAIST) in 2012. He was awarded the Vietnam Education Foundation fellowship to pursue a combined PhD program in Mechanical Engineering at Michigan State University. His research involves Bayesian methods, machine learning, large-scale data analysis, feature selection, appearance-based localization and biomedical engineering. He is a student member of ASME.



Joonho Lee

Joonho Lee

Department of Mechanical Enigneering, Michigan State University.
Postdoc, Spring 2015-Spring 2016.
Current coordinate: linkedin

Joonho Lee received the B.S. degree from Dong-a University, Busan, South Korea in 2004, the M.S. degree from Yonsei University, Seoul, South Korea in 2006, and the Ph.D. degree from Michigan State University, East Lansing in 2015, all in mechanical engineering. In 2015, he was a Research Associate in the Department of Mechanical Engineering at Michigan State University to design and implement control algorithms for autonomous vehicles in the presence of uncertainties. From 2016, he moved to the Department of Mechanical Engineering at Cleveland State University, where he conducted research on a powered prosthetic leg and cyber-enabled machine as a Research Associate. He was working on control design for autonomous cars at HRL Laboratories, LLC (formerly Hughes Research Laboratories). From 2018 to March, 2022, he worked for General Motors, R&D. At General Motors, R&D he was working on wheel control algorithms such as Traction Controls and Engine Drag using Explicit Nonlinear Model Predictive Control (ENMPC). In addition, he conducted research on deep reinforcement learning based on a multi time-scale structure and stochastic approximation (e.g., the ODE method) for the applications to ground vehicles. Currently, he is a Sr. Engineer for Guidance Navigation Controls & Autonomy at Boeing Research and Technology. His research interests include the areas of Deep Reinforcement Learning based Stochastic Approximation, nonlinear controls, specifically a multi-time-scale approach, estimators designs (Graph Neural Networks, Machine Learning, conventional observers), under-actuated mechanical systems (vehicle chassis and wheels dynamics, helicopters, quadrotrs, etc).



Cody Priess

M. Cody Priess

Department of Mechanical Engineering, Michigan State Unievrsity.
Optimal Experiment Design and System Identification: Human Testing, Ph.D. degree, Spring 2010-Summer 2013.
Design and analysis of an actuated seat for cerebral palsy research, M.S. degree, Fall 2008-Summer 2010.

Current Coordinate: linkedin



Mahdi Jadaliha

Mahdi Jadaliha

Department of Mechanical Engineering, Michigan State Unievrsity.
Spatio-temporal field prediction under localization uncertainty for mobile sensor networks, Ph.D. degree, Spring 2010-Summer 2013.

Current coordiate: linkedin
Currently, I am the director of Product Development in St. Louis office. We are in charge of developing machine learning algorithms for external customers (mostly around fraud protection and risk assessment scenarios). Before joining Mastercard, I hold the position of Data Scientist at Monsanto. Prior to join Monsanto, I obtained a PhD degree in Mechanical Engineering at Michigan State University and, MSc in Electrical Engineering at Sharif University. I have worked in various research problems encompassing Robotics, Artificial Intelligence, Statistical Modeling, Global Optimization, and Sensor network. In last few years, I focused on using BIG DATA along different statistical models to predict phenotype and genotype data over agricultural products.



Andrew White

Andrew White

Department of Mechanical Engineering, Michigan State Unievrsity.
A systemic approach for linear parameter varying modeling and control of internal combustion engines, Ph.D. degree, Spring 2009-Fall 2012.
Optimal sampling strategies using spatially averaged advection-diffusion parameter estimation, M.S. degree, Spring 2007-Fall 2008.

Current Coordinate: linkedin
Andrew White received his Ph.D., M.S. and B.S. degrees in Mechanical Engineering from Michigan State University in 2012, 2008 and 2006 respectively. Currently, he is a Advanced Powertrain Controls Engineer at FCA Fiat Chrysler Automobiles.



Yunfei Xu

Yunfei Xu

Department of Mechanical Engineering, Michigan State Unievrsity.
Environmental adaptive sampling for mobile sensor networks using Gaussian processes, Ph.D. degree, Fall 2007-Fall 2011.

Current Coordinte: linkedin
Yunfei Xu received his M.S. and B.S. degrees in Automotive Engineering from Tsinghua University, Beijing, China, in 2004 and 2007, respectively. He then received his Ph.D. degree in Mechanical Engineering from Michigan State University, East Lansing, in 2011. After graduation, he worked as a R&D Engineer in Deep Ocean Engineering, Inc. designing remotely operated underwater vehicles. He is now a software researcher in Denso International America, Inc. developing robust intelligence planning algorithms for autonomous driving.



Ahsan Ijaz

Ahsan Ijaz

Department of Electrical and Computer Engineering, Michigan State University.
Truncated Gaussian Process regression for predicting growth of abdminal aortic anuerysm and temporal modeling of sentiments, M.S. degree, Spring 2011-Fall 2013.

Current coordinate: linkedin
Ahsan Ijaz earned his Bachelors degree in Mechatronics engineering from National University of Sciences and Technology, Pakistan and graduated from the Department of Electrical and Computer Engineering from Michigan State University as a Fulbright fellow. His research interests are in machine learning and its applications for telecommunication networks, biomedical engineering, financial marketing and natural language processing.



Andrey Maslennikov

Andrey Maslennikov

Department of Mechanical Engineering, Michigan State Unievrsity.
Robust analysis and control design of the head-neck system, M.S. degree, Spring 2011-Fall 2013.
Current cooridnate:



Azizah Muhammad

Azizah Muhammad

Department of Mechanical Engineering, Michigan State Unievrsity.
Sea lampreys orient toward a source of a synthesized pheromone using odor-conditioned rheotaxis, M.S. degree, Fall 2008-Summer 2010.



William Lee Smits

William Lee Smits

Department of Mechanical Engineering, Michigan State Unievrsity.
M.S. degree, Fall 2007-Spring 2009.



William Lee Smits

Charles Carvalho de Agular

Department of Mechanical Engineering, Michigan State Unievrsity.
Exchange student program (Brazil Scientific Mobility Program), summer 2015.