Dr Chee Kiat Seow he/him

Photo of Dr Chee Kiat Seow
Where physical principles meet human innovation.

Associate Professor of School of Computing Science

School of Computing Science
Research interests:
Agricultural AI, Energy disaggregation AI, Embedded AI, Indoor localization, Cybersecurity spoofing and anti-spoofing
Research fields:
Energy sustainability, Quantum and agricultural research
Why do you want to join the DiveIn community?
I am passionate about developing adaptive AI systems that bridge the gap between theoretical innovation and real-world impact. The DiveIn CDT's mission to foster interdisciplinary collaboration aligns perfectly with my research philosophy of creating intelligent systems that can learn and adapt in complex environments. I believe the CDT's collaborative ecosystem would accelerate my work in physics-informed neural networks while contributing to transformative AI applications that benefit society.
Personal profile:

My research passion lies in developing physics-inspired neural architectures for adaptive intelligence systems. I focus on next-generation neural networks that incorporate physical principles to enable real-time adaptation in challenging environments. My group explores novel AI approaches for autonomous systems, smart infrastructure, and robust communications, with substantial government backing validating our real-world impact. I seek collaborations with researchers in robotics, energy systems, secure communications, and sensing technologies to develop adaptive AI solutions that address complex interdisciplinary challenges.

I am conducting interdisciplinary research combining traditional engineering principles with modern AI, exploring adaptive neural networks for applications where conventional approaches face limitations. I would like to supervise projects investigating intelligent systems for healthcare monitoring, environmental sensing, smart cities, and autonomous robotics. As a supervisor, I believe in fostering creative exploration while ensuring rigorous methodology — I encourage students to explore novel combinations of established principles with emerging technologies, then guide them toward theoretical depth and practical validation. My graduated students have progressed to leading technology companies and pursued advanced degrees at prestigious universities, often continuing research in adaptive AI systems.

I am committed to creating inclusive research environments that welcome diverse perspectives. I actively recruit international students and have supervised researchers from multiple countries, believing that diverse teams generate more innovative solutions. My international coordination work demonstrates commitment to global knowledge sharing and inclusive collaboration across cultural and disciplinary boundaries.

Beyond research, I am a mentor who believes breakthrough innovations emerge from unexpected interdisciplinary connections. I enjoy creating environments where creative thinking thrives, whether fostering explorations or coordinating international research partnerships that span traditional academic boundaries.

Click / tap the stars next to items in the CoP to mark your favourites.