Jongmin (Andrew) Yu

One paper has been accepted to the International Conference on Robotics and Automation 2024

One paper has been accepted to the IEEE Transactions on Neural Networks and Learning Systems

One paper has been accepted to the NeuralPS Workshop 2024

Two papers have been accepted to the IEEE Transactions on Neural Networks and Learning Systems

One paper has been accepted to the  Pattern Recognition Letters.

[Biography]

Jongmin Yu is a postdoctoral research associate at the University of Cambridge. He was a research associate at the King's College London and Institute of IT Convergence at the Korea Advanced Institute of Science and Technology (KAIST). He received PhDs from the School of Electrical Engineering and Computer Science at Gwangju Institute of Science and Technology (GIST), Gwangju, Korea, Republic of, and the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, Perth, Western Australia, Australia. His research interests include artificial intelligence, machine learning, pattern recognition, and mathematical understanding of these.

[Research Area]

Generative Stochastic Modeling, Machine Learning, Pattern Recognition, Computer Vision

[Education]

• 2023.10-Present: Welcome Trust Research Associate at the University of Cambridge

Cambridge, United Kingdom

• 2022.06-2023.09: Postdoctoral Research Associate in King's Colledge London (KCL)

London, United Kingdom

• 2020.09-2022.05: Research Associative in Korea Advanced Institute of Science and Technology  (KAIST)

KAIST Institute, Republic of Korea

• 2018.04-2020.08: Visiting Researcher

Department of Electrical Engineering, Curtin University, WA, Australia.

• 2013.09-2020.08: (PhD-MSc Integrated) in Electrical Engineering and Computer Science

School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Republic of Korea

• 2009.03-2013.08: B.S. in Computer Science and Engineering (Artificial Intelligence),

 School of Computer Science and Engineering, Chungnam National University, Daejeon, Republic of Korea

[Publications]

 https://scholar.google.co.kr/citations?user=Dbl4T5gAAAAJ&hl=en&oi=sra

[Research Experience and Awards]

• 2012.08-2013.06 : Human genome analysis project (Software developer), The Korean Bioinformation Center is the Korean national research centre in bioinformatics

• 2013.08-2014.08: Development of Robust Detection Method of Heart Beats in Multimodal Data (Researcher), Gwangju Institute of Science and Technology, Republic of Korea

• 2014.06-2016: Development of Gesture Recognition Techniques using Real-time Dual Aperture Sensor (Senior Researcher), Ministry of Science, ICT and Future Planning, Republic of Korea

• 2014.06-2016: M.S and Ph.D program scholarship, Ministry of Science, ICT and Future Planning, Republic of Korea

• 2016.06-2016.09 :Driver Drowsiness Detection Framework (Researcher), Ministry of Science, ICT and Future Planning, Republic of Korea

• 2014.09-2020.08: Activity recognition and abnormal event detection (Senior Researcher), Ministry of Science, ICT and Future Planning, Republic of Korea

• 2016.08-2017.08 : Power Generation Forecasting for Smart DCU (Researcher), Gwangju institute of Science and Technology, Republic of Korea

• 2018.11: Research Assistant scholarship, Gwangju institute of Science and Technology, Republic of Korea

• 2018.05-2019.08 : Topological analysis of a latent space for Neural Network Learning (Visiting Researcher) , Curtin University

• 2019.08-2020.08 : Video Generation and Synthesis using Generative Adversarial Network and Multi-modal Information , GIST, Culture Technology Institution, Republic of Korea

• 2019.12.16: GIST Research Assistant Scholarship, Gwangju Institution of Science and Technology

School of Electrical Engineering and Computer Science, GIST, Korea (Republic of)

Department of Electrical Engineering, Curtin University,  Perth, WA, Australia  

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