About
I am a Ph.D. student in Computer Science at Indiana University Indianapolis (Luddy School of Informatics, Computing, and Engineering), , where I conduct research in the IUI Computer Vision Lab under the supervision of Prof. Mohamed Saeed Abdel-Mottaleb . Currently my research focuses on brain-inspired visual learning, local learning mechanisms in deep learning, computer vision , machine learning and biologically plausible learning rules for robust perception. most recently I started exploring about Hybrid Methods in Spiking Neural Networks (SNN) and Convolutional Neural Networks (CNN) for Human Pose Estimation and how these methods can be applied to real-time applications such as video surveillance, human-computer interaction, and augmented reality. I am particularly interested in understanding how we can leverage these models to develop more efficient, cost-effective and robust machine learning models.
I bring experience from both academia and industry, including research at Purdue University (Kihara Lab), applied AI/ML consulting, and teaching roles in operating systems, algorithms, and programming. My interests center on visual attention, local learning mechanisms, and rigorous evaluation of models under domain shift.
My focus is on biologically inspired intelligence: bottom-up/top-down vision, recurrent inference, local learning rules, and robust evaluation under domain shift.
News
- [Feb 2026] Planning to submit a manuscript on recurrent task-guided gain modulation (in review).
- [Nov 2025] Poster presentation at Luddy School’s 25th Anniversary Research Symposium .
- [Jan 2025] Began PhD studies at Indiana University Indianapolis, Luddy School of Informatics, Computing, and Engineering .
- [Jan 2024] Started working as a Python Engineer at UrsaLeo (Cove Island) .
- [Jan 2024] Started working as a Software Engineer at iVedha Inc. .
- [Nov 2023] Graduated with a BSc(Hons) in Computer Science from Faculty of Computing and Technology, University of Kelaniya .
- [Dec 2023] Presented my undergraduate research project on "Protein Secondary Structure Prediction using Deep Neural Networks" at the ICATC Student Research Symposium 2023 .
Publications
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Abstract
Presentations & Talks
Awards & Recognition
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Recurrent Top-Down Counter-Hebbian Network for Sustained Visual Attention
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Prediction of 8-State Protein Secondary Structure Using Deep Neural Network Approach
Experience
- Sri Lankan Institute of Information Technology
Teaching
- CSCI-C 212 Introduction to Software Systems — Teaching Assistant @ IUI, Spring 2026
- CSCI-P 536 : Advanced Operating Systems — Teaching Assistant @ IUI, Spring 2025
- CSCI-C 310 : Data Structures in Python — Teaching Assistant @ IUI, Fall 2025
- CSCI-C 201 : Introduction to Programming — Assistant Lecturer @ SLIIT, Fall 2024