Dr. Pubudu Jayasena

Discover how confidential computing and federated learning are revolutionizing data security in distributed systems. This presentation explores cutting-edge approaches that enable secure data processing while maintaining strict privacy guarantees across distributed environments. Learn about practical implementations of federated learning that allow collaborative AI without compromising data sovereignty, and understand how confidential computing protects data during processing, not just in transit and at rest. The session will examine emerging zero-trust security paradigms and demonstrate how to integrate these technologies into real-world scenarios, exploring the future landscape of secure computation in an increasingly connected world.

Biography:

Dr. Pubudu Jayasena is a Postdoctoral Research Fellow at the Faculty of Computer Science, Technische Universität Dresden, where he specializes in confidential computing, cloud security, and distributed systems. With over 12 years of experience in computer science research, he brings exceptional expertise to the intersection of security and distributed computing.

Dr. Jayasena has demonstrated exceptional leadership within the IEEE community, serving as Secretary of the IEEE Computer Society Sri Lanka Chapter (2021-2023), where She led membership growth initiatives, promoted technical standards, and fostered industry relationships. She also held key positions as Committee Member for Regional Reach and Conference Support in the IEEE Sri Lanka Section. She served in leadership roles with IEEE Women in Engineering (WIE) Sri Lanka Section as Assistant Secretary and Assistant Treasurer. Her extensive conference involvement includes serving as Conference Chair for multiple IEEE International Conferences on Advanced Research in Computing (ICARC 2023-2024) and she has been Publicity Chair for IEEE International Conference on Smart Cloud (2020-2021) and serves as Technical Programme Committee Member for numerous prestigious IEEE conferences including IEEE SmartCloud, BESC, and ICAC.

Dr. Jayasena earned her  PhD in Computer Science and Engineering from Wuhan University of Technology in 2018, focusing on resource scheduling approaches using meta-heuristic algorithms in cloud computing. Currently, she is actively involved in the EU NEARDATA project, where she leads research on secure federated learning using confidential computing for extreme near-data processing platforms. Her work has earned multiple IEEE best paper awards, and Dr. Jayasena has received prestigious awards, including the President's Award for Scientific Research from Sri Lanka's National Research Council, and serves as an editorial board member for PLOS ONE, while reviewing for multiple high-impact journals. Her expertise spans confidential computing, federated learning, cloud security, and distributed systems optimization.