neuralgap.io
neuralgap.io
Juliyan Gunasinghe
Juliyan is an experienced cheminformatician who has several published works related to computer-aided drug design, protein dynamics and RNA-ligand interactions in many reputed journals including Journal of Chemical Information and Modeling (JCIM), ACS Omega, Scientific Reports and Journal of Biomolecular Structure & Dynamics (JBSD).
A few of studies include ‘Human soluble CD39 displays substrate inhibition in a substrate-specific manner’ and ‘In-silico discovery of inhibitors against human papillomavirus E1 protein’.
Sathursan is an experienced AI researcher with several published works focusing on computer vision, deep neural network optimization, and modern machine learning paradigms. His research has been featured in conferences and journals such as FPL 2020, Robotics & Automation Magazine 2020, and ICCV 2023. He holds a position as an AI Researcher at Neuralgap, where he developed a Self-Organizing Map (SOM)-based architecture for Generalized Class Incremental Learning, which was later published in ICCV 2023