Biography: 

Chamika Sudusinghe is a third-year PhD student at the Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign. He is an SRC Research Scholar and NSF Graduate Fellow. Chamika is broadly interested in Compilers, Computer Architecture, Deep Learning and Performance Optimization. His current research focuses on building data-driven cost models that guide compiler decisions across heterogeneous hardware platforms and diverse workloads. Chamika has been recognized with several prestigious honors, including the NSF Graduate Research Fellowship (NSF-GRFP), the Lance Stafford Larson Award, the Upsilon Pi Epsilon Honor Society Award, the Richard E. Merwin Scholarship, and the the ICT Student of the Year Award (2022). His research has been published in prominent venues such as International Conference on Machine Learning (ICML), Applied Soft Computing, IEEE Design & Test, and the Design, Automation, and Test in Europe (DATE).