Vision AI researcher & engineer
Building robust visual models for the real world.
Lead Research Engineer, Vision AI at Home Team Science & Technology Agency
Singapore
01 / About
My name is Mikhail Kennerley, and I am a Lead Research Engineer at Home Team Science & Technology Agency (HTX), where I work on computer vision and AI systems. I obtained my PhD in Electrical and Computer Engineering from the National University of Singapore, where I was advised by Prof. Robby Tan and Prof. Bharadwaj Veeravalli. During my doctoral studies, I was also affiliated with Institute for Infocomm Research (I2R), A*STAR, where I collaborated with Dr. Wang Jian-Gang.
Alongside my research and engineering work, I am actively involved in community initiatives through Mendaki Club, supporting initiatives that create meaningful opportunities for youths in the Malay/Muslim community. I have also contributed to youth development initiatives through programmes organised by the National Youth Council (NYC).
Outside of work, I spend a fair amount of time painting Warhammer 40,000 miniatures, mostly Black Templars (which I find unexpectedly therapeutic) usually accompanied by a good cup of filter coffee.
02 / Notes
03 / Research
My research focuses on learning robust visual models under imperfect supervision, particularly for object detection and semantic segmentation. I study domain adaptation, semi-supervised learning, and dataset unification under distribution shift.
04 / Speaking
| topic | role | host | date |
|---|---|---|---|
| AI and the Future of Work | Panel | NYC & Singapore Polytechnic | 2026 |
| Art as a Bridge to Science & Emerging Technologies | Panel | ArtScience Museum & Austrian Embassy | 2025 |
| Youth Conversations on Online Harms | Panel Moderator & MC | National Youth Council & Ministry of Law, Singapore | 2025 |
| Domain Adaptation and Dataset Unification for Object Detection | Research Speaker | Cambridge Image Analysis Group, University of Cambridge, UK | 2025 |
Research Speaker
A*STAR Institute for Infocomm Research
2024
Research Speaker
A*STAR Institute for Infocomm Research
2023
05 / Teaching