Background

I am an assistant professor in energy with a profound commitment to addressing climate change through the lens of AI. With extensive experience at prestigious institutions like IIT, NUS, MIT, and University of Edinburgh, my research focuses on developing energy-efficient algorithms to meet the soaring computing demands of our energy systems, while also exploring the transformative potential of neuromorphic computing in enhancing the security and reliability of critical infrastructure. Passionate about education and innovation, my vision is to drive sustainable solutions with significant contribution to science for a greener future.

Motivation

Excited to embark on mentoring in neuromorphic computing. It’s a cutting-edge field pushing the boundaries of conventional computing. With its potential to revolutionize AI and computing, raising awareness and providing training is crucial. Joining as a mentor allows me to share insights, nurture young talent, and contribute to shaping the future of computing architecture in Denmark.

Skills, expertise, and interests

• machine learning
• deep learning
• artificial intelligence
• computational science
• end-to-end implementation
• digitalisation
• neuromorphic computing