Vision AI researcher & engineer

Mikhail Kennerley

Building robust visual models for the real world.

Lead Research Engineer, Vision AI at Home Team Science & Technology Agency

Portrait of Mikhail Kennerley

Singapore

01 / About

Researcher, engineer,
and community builder.

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

Recent news

03 / Research

From imperfect data
to resilient models.

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

On the road

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
Show 2 earlier talks
TopicExploiting Inter-Class Dynamics for Domain Adaptive Object Detection
Role

Research Speaker

Host

A*STAR Institute for Infocomm Research

Date

2024

TopicDomain Adaptation in Day-to-Night Data Shift
Role

Research Speaker

Host

A*STAR Institute for Infocomm Research

Date

2023

05 / Teaching

In the classroom