Biography

Sim Kuan Goh holds a B.Eng. and Ph.D. from the National University of Singapore. He is currently an Assistant Professor at Xiamen University Malaysia. Before joining Xiamen University, he served as a Research Fellow at the Air Traffic Management Research Institute at Nanyang Technological University. His research interests include computational intelligence, multi-modal AI, and brain-computer interfaces. He is an IEEE Senior Member and has shared his work in journals and conferences (including NeurIPS, ACL, and others)

Research Interest

Computational Intelligence, Multi-Modal AI, Brain-Computer Interface, Time-Series Model, Reinforcement Learning, Global Climate

Educational Background

• PhD (Computational Intelligence), Department of Electrical and Computer Engineering, National University of Singapore, Singapore (2019)

• BEng (Electrical Engineering) with a minor in Mathematics, National University of Singapore, Singapore (2013)
   

Working Experience

• Postdoctoral Research Fellow, Nanyang Technological University, Singapore (2019 to 2021)

• Visiting Researcher, Air Traffic Management Research Institute, Nanyang Technological University, Singapore (2018)

• Visiting Researcher, SINAPSE Lab, National University of Singapore, Singapore (2017)

• Visiting Researcher, Trusted Autonomy Lab, University of New South Wales, Australia (2016)

• Graduate Assistant (Outreach), Department of Electrical and Computer Engineering,
  National University of Singapore, Singapore (2013 to 2015)
   

Research Experience / Grants

• The Ministry of Higher Education Fundamental Research Grant Scheme (MOHE FRGS) 2023 (Principle Investigator)

• Xiamen University Malaysia Research Grants 2022-2024 (Principle Investigator and Coinvestigator)

• Industrial Research Grant from Plus Xnergy 2024 (Co-investigator)

• INTI IU Research Seeding Grant 2023 (Co-investigator)
   

Representative Publications

• S. K. Goh, N. P. Singh, Z. J. Lim, and S. Alam. “Interpretable Tracking and Detection of Unstable Approaches Using Tunnel Gaussian Process”. In: IEEE Transactions on Aerospace and Electronic Systems 59.3 (2023), pp. 2658–2671. (SCI Q1)

• G. Du, J. Li, H. Liu, R. Jiang, S. Yu, Y. Guo, S. K. Goh, and H. K. Tang. 2024. Knowledge Fusion By Evolving Weights of Language Models. In Findings of the Association for Computational Linguistics ACL 2024, pages 11727-11742, Bangkok, Thailand and virtual meeting. Association for Computational Linguistics. (CORE A*/ CCF-A)

• G. Du, J. Lee, J. Li, R. Jiang, Y. Guo, S. Yu, H. Liu, S. K. Goh, H. K. Tang, D. He, M. Zhang. Parameter Competition Balancing for Model Merging, NeurIPS, 2024. (CORE A*/ CCF-A)
   

Honors / Awards

• Best Paper Award by the International Conference on Research in Air Transportation (ICRAT), Advanced Modelling Track, Florida, USA, 2022

• Best Paper Award by the International Conference on Future Smart Cities (FSC), Technology Track, Malaysia, 2022