Harold Soh

Harold Soh is an Assistant Professor in the Department of Computer Science at the National University of Singapore (NUS), where he directs the Collaborative Learning and Adaptive Robots (CLeAR) group. Harold completed his Ph.D. at Imperial College London with Yiannis Demiris on online learning for assistive robots.

Harold's current research focusses on machine learning and decision-making for trustworthy collaborative robots. His work spans cognitive modeling (specifically human trust) to physical systems (perception with novel e-skins) and has been recognized with best paper award nominations at RSS, HRI, and IROS.

Harold has served on the HRI committee as LBR Co-Chair (2019) and on the Technical Advances PC as a member (2020) and chair (2021). He is an Associate Editor of the ACM Transactions on Human Robot Interaction (2021). He regularly serves as PC member or reviewer for the top publication venues in AI (NeurIPS, AAAI, IJCAI) and robotics (ICRA, IROS, RSS, HRI).

Education

• PhD Imperial College London (2009 — 2013)
• M.S.S.E. University of Melbourne (2005 — 2006)
• Bachelor of Arts and Sciences (BAS) University of California, Davis (2000 — 2004)

Companies

• Assistant Professor National University of Singapore (2017)
• Postdoctoral Research Fellow University of Toronto (2015 — 2017)
• SMART Postdoctoral Scholar MIT SMART (2013 — 2015)
• PHD Candidate Imperial College London (2009 — 2013)
• Design London Fellow Imperial College London (2011 — 2012)
• Senior Research Officer A*STAR - Agency for Science, Technology and Research (2006 — 2009)
• Research Assistant University of Melbourne (2004 — 2005)
• Associate Ernst & Young (2004 — 2004)

Skills

• Human-robot Interaction
• Linux
• C

Other

Technical Writing, Data Mining, Software Engineering, Software Development, Research, C++, Computer Science, Python, Algorithms, LaTeX, Programming, Robotics, Artificial Intelligence, Matlab, Machine Learning