Nisal Hemadasa is a research associate and a PhD student at the Institute for Data Engineering at Hamburg University of Technology. His doctoral research focuses on concept drift adaptation in federated learning. He is also involved full-time in undergraduate and postgraduate teaching, and supervising research projects. His has published in international conferences in the areas of distributed systems and federated learning. He received the I³ProTeachING “Most Inspiring Teaching Project” award at Hamburg University of Technology for his innovative teaching activities, and he also won third place in the Hamburg Three-Minute Thesis competition.

Nisal received his B.Sc. in Electronic and Telecommunication Engineering from the University of Moratuwa, Sri Lanka. After graduating, he worked as a Software Engineer at DFN Technologies on financial intelligence platforms and later as an R&D Engineer at Tegri-aero, developing UAV technologies, in Colombo, Sri Lanka.

He obtained his M.Sc. in Control Microsystems and Microelectronics, with distinction, from the University of Bremen, Germany, where he was also awarded the Deutschlandstipendium (Germany Scholarship). While pursuing his M.Sc., he worked as a software developer at Elise and also as a student research assistant at the Bremen Institute for Production and Logistics.

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