Do Van Minh is a research engineer in the interdisciplinary research program Mens, Manus, and Machina (M3S) at the Singapore-MIT Alliance for Research and Technology (SMART). His research focuses on machine vision and resource-efficient AI, particularly in developing models that enhance human-machine collaboration. He is currently advancing applications in education, robotics, and intelligent systems.
Minh earned his Master of Engineering in Computer Science from Nanyang Technological University (NTU), where he specialized in multi-camera tracking for smart urban mobility. Before joining SMART, he served as a Research Associate at NTU's College of Computing and Data Science, gaining extensive experience in resource-efficient AI, edge computing, autonomous vehicles, and intelligent transportation systems.
4D Reconstruction with Events & RGB
Year of Publication:
Venue:
The 19th European Conference on Computer Vision (ECCV 2026): 3rd Workshop on Neuromorphic Vision: Advantages and Applications of Event Cameras
2026
Publication Type:
Conference
Status:
Accepted
Authors:
Dulanga Weerakoon (SMART), Darshana Rathnayake (SMART), Van Minh Do (SMART), Hemanth
Sabbella (SMU), Kaichen Zhou (MIT), Fangneng Zhan (MIT), Alok Prakash (SMART), Sanjay Sarma (MIT),
Archan Misra (SMU), and Paul Pu Liang (MIT)
Two-finger soft gripper with a scaled-pad contact interface for dual-mode grasping and surface cleaning
Year of Publication:
Venue:
IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), Pittsburgh, PA, USA, 2026
2026
Publication Type:
Conference
Status:
Accepted
Authors:
Luis Hernandez (SMART), Zhi Cong Wong (SMART), Mong Juin Hwaye (NUS), Wu Yongxin (NUS), Do Van Minh (SMART), Alok Prakash (SMART), Cecilia Laschi (NUS), Marcelo Ang (NUS), Fabio Duarte (MIT) and Daniela Rus (MIT)