Papers
3
Total Citations
53
H-Index
3
About
Matthew Chan is a leading researcher in the security of cyber-physical systems, with a particular focus on robotic aerial vehicles (RAVs) and industrial control systems. His work bridges the gap between embedded systems security and real-world physical safety, addressing critical vulnerabilities in drones and programmable logic controllers (PLCs). Chan’s major contributions include developing innovative defense mechanisms that leverage data-driven and physics-based approaches. His paper “Mini-Me, You Complete Me!” (24 citations) introduces DNN-based approximate computing to protect RAV controllers from cyber-physical attacks, while “PAtt: Physics-based Attestation of Control Systems” (21 citations) pioneers a novel method for verifying PLC integrity against logic manipulation. More recently, his 2023 work “Get Your Cyber-Physical Tests Done!” (8 citations) advances automated vulnerability assessment for RAVs, tackling the growing complexity of drone software. Collectively, Chan’s research has accumulated over 50 citations, establishing him as an emerging authority in securing autonomous systems. His work is particularly notable for its practical, data-driven approach to defending safety-critical applications, making him a key voice in the evolving field of cyber-physical security.
Research Focus
Key Achievements
Top Papers
- 1
- 2PAtt: Physics-based Attestation of Control Systems21 citations · 2019
- 3