About me
I am currently a Research Assistant Professor at Center for Advance Robotics Innovation Technology (CARTIN). My research focus is dedicated to advancing the perception capability of autonomous systems, which is a fundamental prerequisite for robot autonomy. My vision is to achieve robust and intelligent perception capability for autonomous systems in complex and large-scale real world scenarios, enabled by the synergy of complementary sensing modalities under a common mathematical framework (sensor-level), together with distilled prior knowledge inspired by human cognition processes (intelligence-level). I also have extensive experience on Unmanned Aerial Vehicles (UAVs), which are the testbed for robustness of my proposed perception systems. My research have been published at top-tiered conferences and journals such as ICRA, IROS, CVPR, IJRR, TRO, RAL.
I obtained my B.Eng (Honors) from Vietnam National University - Ho Chi Minh City University of Technology (VNU-HCMUT) in 2014, majored in Automation and Control. In 2015, I began my PhD study at the School of EEE, NTU, and graduated in 2020 with the Best Thesis Award for my thesis Ranging-Based Adaptive Navigation for Autonomous Micro Aerial Vehicles. From 2020-2023, I was awarded the Wallenberg-NTU Presidential Postdoctoral Fellowship, which generously provided the salary and grant for two consecutive research stints at Nanyang Technological University, Singapore, and KTH Royal Institude of Technology, Sweden. For the first year, I was mentored by my PhD supervisor, Professor Xie Lihua. From 2022-2023 under the second-year stint, I had the honor of joining Professor Patric Jensfelt’s team at the Division of Robotics, Perception and Learning (RPL) at KTH, where I had many fruitful collaborations with colleagues in Sweden and Europe.
I am an active member of IEEE and IEEE Robotics and Automation Society, for which I am a frequent and enthusiastic reviewer of RAL, TRO, ICRA and IROS. At CDC 2023, I organized the Cooperative Aerial Inspection Challenge. I am also a co-organizer of the UG2+ Challenge on UAV Tracking and Pose Estimation at CVPR 2024. In Autumn of 2022, I taught a PhD-level course (6-credit) titled Optimization Based Localization and Mapping at RPL, KTH; all lectures and materials are shared with the public at KTH Canvas.
A son of the Southern Vietnam’s Mekong Delta, I hail from Can Tho City, the region’s Western Capital. I love travelling and learning of new lands and new cultures. In my free time I enjoy playing badminton.
News:
31/10/2024: We release the GPTR, a continuous-time trajectory representation based on gaussian process for motion estimation. Check out the paper and the source code!
20/10/2024: the source code for our learning-based UWB Localization ULOC has been released!
09/10/2024: the results of CARIC at IROS 2024 has been announced!