Summary
Udari De Alwis is a researcher at imec in Leuven with a decade of experience optimizing application mapping and on-chip deep learning for edge and embedded systems. She holds a PhD in Electrical and Computer Engineering from the National University of Singapore, where her work translated algorithmic advances into hardware-aware ML optimizations. Prior to academia she helped found the R&D team at a U.S. IoT startup, leading development of award-winning wearable cardiovascular monitors, reflecting a rare blend of product-focused engineering and research rigor. A Xamarin-certified mobile enthusiast, she pairs low-level hardware insight with practical cross-platform development skills, enabling deployable, resource-efficient AI solutions. Her background spans industry, teaching, and translational research, making her adept at moving innovations from prototype to real-world devices.
10 years of coding experience
10 years of employment as a software developer
B.Sc(Eng), Electronics & Telecommunication Engineering, Second Upper Class, B.Sc(Eng), Electronics & Telecommunication Engineering, Second Upper Class at University of Moratuwa
High School, G.C.E A/L examination :Physical Science stream- three Distinction Passes, High School, G.C.E A/L examination :Physical Science stream- three Distinction Passes at Visakha Vidyalaya Colombo
PhD Candidate, Electrical and Computer Engineering, PhD Candidate, Electrical and Computer Engineering at National University of Singapore
English, Sinhalese