PhD in Computational Physics with specialization in Information Science, Chaos and Quantum Computing.
Extensive experience in researching and implementing AI-driven solutions across diverse sectors including healthcare, urban planning, retail, logistics, finance, and automotive since 2016.
Proven academic track record with multiple teaching appointments at leading University and Polytechnics; delivered 7 courses covering Physics, Statistics, Mathematics, and A.I.
Strong R&D background: 12 patent applications filed, 14 journal and conference papers co-authored.
Passionate about bridging academic knowledge with industry applications, fostering both technological advancement and student development.