• Third year CS PhD student at the University of Minnesota - Twin Cities, USA advised by Assistant Professor Dr. Yogatheesan Varatharajah.

• I worked as a Research Assistant at the Department of Computer Vision, MBZUAI, UAE under Assistant Professor Dr. Muhammad Haris Khan. My work was related to Domain Generalization and Network Calibration.

• I worked as a Software Engineer in the R&D team at WSO2. My work was related to the compiler of the novel cloud native programming language, Ballerina. Mainly, I developed Java backend APIs for language support such as completions, code-actions, hover, .. etc.

• I graduated from University of Moratuwa, Faculty of Engineering with a first class honours degree specializing in Electronic and Telecommunication Engineering in 2021. I completed my thesis on “Virtual Try-on for Online Fashion” with Dr. Ranga Rodrigo.

• I completed my research internship in the Research team at WSO2, under the supervision of VP - Research & AI Dr. Malith Jayasinghe and Senior VP & Chief Architect Dr. Srinath Perera. I focused on analytically modeling the performance of the micro-services based systems.

• My research interests lie in Machine Learning, ML for Healthcare, Self-supervised Learning, and Domain Specific Foundation Models.

Publications

• EEG Foundation Models: A Critical Review of Current Progress and Future Directions Gayal Kuruppu, Neeraj Wagh, Yogatheesan Varatharajah (NeurIPS FMs for the Brain and Body Workshop 2025, JNE (Pending))

• Matching Confidences and Softened Target Occurrences for Calibration Vinith Kugathaasan, Honglu Zhou, Zachary Izzo, Gayal Kuruppu, Sanoojan Baliah, Muhammad Haris Khan (DICTA, 2024)

• Generalizing to unseen domains in diabetic retinopathy classification Chamuditha Jayanga, Gayal Kuruppu, Muhammad Haris Khan (WACV 2024)

• Realistic, Animatable Human Reconstructions for Virtual Fit-On Gayal Kuruppu, Bumuthu Dilshan, Shehan Samarasinghe, Nipuna Madhushan, Ranga Rodrigo (Arxiv, 2022)

• An Analysis of Throughput and Latency Behaviours Under Microservice Decomposition Malith Jayasinghe, Jayathma Chathurangani, Gayal Kuruppu, Pasindu Tennage, Srinath Perera (ICWE, 2020)

News

• Sep 2025 : Paper accepted to NeurIPS 2025 workshop
• Sep 2025 : Graduated with MS in Computer Science from University of Minnesota - Twin Cities
• Aug 2025 : Attended Machine Learning for Healthcare 2025
• Aug 2025 : Abstract accepted to AES 2025
• Dec 2024 : Paper accepted to DICTA 2024
• Jan 2024 : Paper accepted to WACV 2024
• Aug 2023 : Started working as a Graduate Research Assistant at Computer Science & Engineering Department, University of Minnesota, MN, USA
• Nov 2022 : Started working as a Research Assistant at Computer Vision Department, MBZUAI, UAE
• Oct 2022 : Published “Realistic, Animatable Human Reconstructions for Virtual Fit-On” preprint in Arxiv
• Jul 2021 : Graduated from University of Moratuwa, Faculty of Engineering with 1st class honours degree specializing Electronic and Telecommunication Engineering
• May 2021 : Started working as a Software(Compiler) Engineer at WSO2
• Aug 2020 : Attended the Cornell, Maryland, Max-Planck Pre-Doctoral Research School (CMMRS) 2020 in Saarbrucken, Germany
• Jun 2020 : Published “An Analysis of Throughput and Latency Behaviours under Microservice Decomposition” in ICWE 2020
• Jun 2019 : Started research internship at WSO2 research team