About
I am a Ph.D. student in Computer Science at Indiana University Indianapolis , where I conduct research in the IUI Computer Vision Lab under the supervision of Prof. Mohamed Saeed Abdel-Mottaleb .
My research lies at the intersection of brain-inspired AI, computer vision, and reliable deep learning. I develop recurrent bottom-up/top-down architectures, hybrid CNN–SNN models, biologically plausible learning methods, and domain-aware evaluation techniques for intelligent vision systems.
Prior to my Ph.D., I conducted research at Kihara Lab, Purdue University, and gained industry experience delivering AI and enterprise software solutions at Cove Island (a subsidiary of UrsaLeo) and iVedha Inc., where I worked directly with the National Bank of Canada on enterprise monitoring and cloud observability platforms. My experience spans AI-powered digital twins, retrieval-augmented generation (RAG), enterprise software engineering, and scalable cloud systems.
News
- [Oct 2026] Working on journal submission for "Adaptive CNN Refresh for Efficient Hybrid ANN-SNN Event-Based Human Pose Estimation". Currently under preparation.
- [May 2026] Submitted the manuscript on "Recurrent Task-Guided Gain Modulation for Biologically Inspired Bottom-Up/Top-Down Learning" to IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI). Currently under review.
- [Nov 2025] Poster presentation at Luddy School’s 25th Anniversary Research Symposium .
- [Jan 2025] Began Ph.D. studies at Indiana University Indianapolis, Luddy School of Informatics, Computing, and Engineering .
- [Jul 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
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- Hybrid CNN–SNN: Event-based human pose estimation and neuromorphic vision.
- Brain-Inspired AI: Recurrent top-down/bottom-up learning with biologically plausible gain modulation.
- AI Verification & Validation: Domain-aware evaluation of maritime object detectors using mixed-domain imagery.
- Deep Learning Infrastructure: PyTorch, GPU/HPC computing, benchmarking, and reproducible experimentation.
- Digital Twins: Built AI-powered digital twin solutions for smart buildings, manufacturing, and utility use cases.
- RAG & AI Agents: Developed LangChain-based RAG systems and AI agents using OpenAI APIs and FAISS vector search.
- Applied AI/ML: Integrated AI workflows into industry-facing visualization and decision-support platforms.
- Sri Lankan Institute of Information Technology
- Enterprise Banking: Worked directly with the National Bank of Canada to develop enterprise monitoring and cloud observability solutions.
- Platform Engineering: Built and enhanced monitoring platforms integrating ELK Stack, Kibana, PagerDuty, LogicMonitor, Backstage, and SSO.
- Full-Stack Development: Developed scalable cloud-based dashboards and operational tools supporting mission-critical enterprise services.
- Protein Modeling: Developed probabilistic deep learning models for protein backbone and structure generation.
- Diffusion Models: Explored diffusion-based generative models for protein structure design.
- Bioinformatics ML: Built DNA and protein sequence classification models for gene and protein family prediction.
Teaching
- CSCI-B 657 : Computer Vision — Teaching Assistant @ IUI, Fall 2026
- CSCI-C 212 : Introduction to Software Systems — Teaching Assistant @ IUI, Spring 2026
- CSCI-C 310 : Data Structures in Python — Teaching Assistant @ IUI, Fall 2025
- CSCI-P 536 : Advanced Operating Systems — Teaching Assistant @ IUI, Spring 2025
- CSCI-C 201 : Introduction to Programming — Assistant Lecturer @ SLIIT, Fall 2024
Beyond Work. When I'm away from work, you'll usually find me exploring new destinations, capturing landscapes through photography, and experiencing different cultures. I enjoy the balance between building intelligent systems and discovering the world around me. Instagram ↗