Summary
Maruf Hassan is a PhD candidate and teaching assistant at Technological University Dublin specializing in energy-efficient AI and neuromorphic computing, where he builds hybrid DNN–SNN vision systems that aim for 10–100x energy savings over conventional models. With 11 years of experience spanning academia and industry—from software engineering in Japan to instructing computer science—he blends practical software skills with deep research in event-driven, sparse computation and modern sequence modeling. He programs primarily in Python and is driven by algorithmic problem solving and continuous self-learning. Notably, his work seeks to bridge high-performing deep learning with brain-inspired efficiency, positioning him at the intersection of applied research and deployable, low-power AI systems.
11 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Science & Engineering, Bachelor’s Degree, Computer Science & Engineering at International Islamic University Chittagong
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Technological University Dublin
English, Bengali, Japanese