Summary
Dileepa Fernando is a lecturer and researcher with 12 years’ experience bridging academia and applied machine learning, currently teaching in the ISTD pillar at SUTD after completing a PhD in Computer Science at NUS. His doctoral work in algorithmic game theory complements active research on machine learning risk management, blockchain applications, power optimization, and educational technology. He has taught courses spanning computer networks, cryptography, tensors and graphs, and has led industry projects on predictive maintenance and anomaly detection for smart buildings. Comfortable moving between theory and practice, Dileepa blends rigorous research collaborations with hands-on machine learning consulting, and is open to new teaching and research roles in Singapore and beyond.
12 years of coding experience
2 years of employment as a software developer
BSc.Eng(hon), Computer Science and Engineering, BSc.Eng(hon), Computer Science and Engineering at University of Moratuwa
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at National University of Singapore