Scholar
Nuwan Sriyantha Bandara
Google Scholar ID: 7dp_868AAAAJ
Research Engineer, SCIS, Singapore Management University
Citations & Impact
Citations
58
H-index
5
i10-index
1
Publications
12
Co-authors
6
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Undergrad thesis paper: 'Deep geometric framework to predict antibody-antigen binding affinity', accepted at the Journal of Structural Biology (Q1)! One single-authored paper: 'Beyond P2PXML: Can Weight Space Learning Assist in Affinity-Oriented Antibody Modification?', accepted at IEEE BIBE 2025, to be held in Greece! Our paper: 'Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-Processing', accepted at the IJCAI 2025 Workshop for Micro-expression Recognition! Two challenge survey papers on event-based eye tracking and image deblurring, co-authored, accepted at CVPR-W 2025! Won second place at the CVPR 2025 event-based eye tracking challenge! Our paper: 'Elemantra: An End-To-End Framework Empowered With Edge AI to Tackle Human-Elephant Conflict', from one of my undergrad works, accepted at APSCON 2025!
Research Experience
- Currently working as a Research Engineer at the School of Computing and Information Systems, Singapore Management University, with A/Prof. Thivya Kandappu and Prof. Archan Misra on understanding temporal dynamics of core cognitive functions through leveraging mainstream wearable devices, while collaborating as a Visiting Graduate Researcher at the Cancer Science Institute at the National University of Singapore with Prof. Yang Zhang and Dr. Jun Liu on geometric learning-guided methods for in-silico therapeutic antibody design. Previously worked as a Research Intern at John Neurobionics Laboratory, University of Melbourne, under the supervision of A/Prof. Sam E. John, where validated different EEG-based source localization methods for discrete BCIs targeting people with multiple sclerosis and developed gradient-based retinal layer segmentation algorithms for rodent OCT images. As an undergraduate researcher at BRIC, contributed to designing an EEG acquisition system for neonatal seizure monitoring and developing an AI-backed ECG-PCG synchronized device.
Education
- Completed undergraduate studies in the Bachelor of Science (B.Sc.) of Biomedical Engineering (Honours) program at the Department of Electronic and Telecommunication Engineering (ENTC), University of Moratuwa, Sri Lanka, with a First Class Honours. Thesis was on 'Developing a Deep Geometric Framework for Predicting Antibody-Antigen Binding Affinity', advised by Dr. Subodha Charles, Dr. Aravinda Munasinghe, and Dr. Kaushalya Madhawa.
Background
- Biomedical engineer with demonstrated accomplishments in novel health-tech developments. Research interests include computational biology, in-silico antibody-antigen interaction modeling, antibody design and evolution, and geometric deep learning.
Miscellany
- Fascinated by the vast diversity of Astronomy, the strength of Entrepreneurship for a nation, and the indispensable logic behind the Law.
