HealthTEC-IBB Webinar Series: Session I Speakers

About the Speakers:

Dr Bhanu Prakash K.N

Principal Investigator, Institute of Bioengineering & Bioimaging, and Bioinformatics Institute, A*STAR


Dr Bhanu Prakash KN is the Principal Investigator at Institute of Bioengineering & Bioimaging, and Bioinformatics Institute, A*STAR. He obtained his master’s and Doctoral degree from Indian Institute of Science; Bangalore and his PhD was in the area of Image processing algorithms for improving medical diagnosis. He joined Agency for Science, Technology and research (A*STAR) as a research scientist and was involved in developing algorithms for various projects like ML based segmentation of TBI regions and its sub-regions in a large cohort study , Automatic tracking and monitoring of mouse behaviour during various interaction tests, Adipogenesis quantification, Texture based classification for grading stages of Brain Tumour (with KK Hospital), Zika Infected Marmoset Brain Morphometry (with SIgN and SGH), Adipose tissue quantification – Rodent & Human study, Whole brain metabolite and temperature mapping, Stroke CAD for Clot lysis – rTPA treatment management (with JHU), Singapore Stroke Suite (Ischemic and Hemorrhagic – MR/CT based) , Fast Talairach Transformation (Atlas based analysis) Effects of radiation on brain development, Differential diagnosis of parkinsonism, DL based analysis of psychiatric disorders for remission status etc. He has about 15 patents to his credit and about 90 publications. He has collaborative projects with clinicians and hospitals from various parts of the world. He is member of ISMRM, IEEE SGCR-WIRES, and other organizations.

Research Interest

Medical Image processing, Pattern recognition, Biomedical Signal processing, Machine Learning, Medical Instrumentation.

Prof S. Sendhil Velan

Head, Metabolic Imaging Group & Senior Principal Investigator, Singapore Institute for Clinical Sciences (SICS), A*STAR


A/Prof. Sendhil Velan is the Head of the Metabolic Imaging Group, and a Senior Principal Investigator at Singapore Institute for Clinical Sciences, A*STAR. He is also an Adjunct Associate Professor at the Department of medicine, in Yong Loo Lin School of Medicine and NUS graduate school for integrative sciences and engineering of National University of Singapore (NUS). Dr.Velan and his team are imaging metabolism to undertand the evolution of the metabolic disease in Asian population. His team utilizes cutting edge multi-modal imaging technology for life-course imaging. He is also the Co-President for the Singapore Chapter of International Society for Magnetic Resonance in Medicine (ISMRM).

Talk Description

Our lab is focused on utilization and implementation of advanced imaging techniques suitable for investigating body composition in metabolic diseases. The study of body fat distribution and ectopic fat accumulation in liver and skeletal muscle is important to understand the pathophysiology of obesity related disorders, diabetes mellitus and cardiovascular diseases.  In this talk I will highlight some of our ongoing effort in metabolic imaging and update future directions with mitochondrial metabolism which has the potential to change the clinical paradigm for patients with metabolic disorders.

Mr Ryan Tan

Marketing and Business Development Senior Executive, EyRIS


Ryan works in the Business Development Team at one of the most innovative companies in Asia, EyRIS. His team has pioneered new business practices and developed new implementation techniques for Deep Learning Artificial Intelligence systems in both local and international markets. Over the course of his career in EyRIS, Ryan has overseen the deployment of SELENA+ in various regions namely Asia, Europe and Latin America. Today, he works with multiple customers, guiding them on their efforts to adopt Artificial Intelligence technology seamlessly and how they can benefit their patients more than ever before.

Singapore Eye LEsioN Analyzer+ (SELENA+) is an Artificial Intelligence (AI) Deep Learning System (DLS) that uses diagnostic imaging for retinal diseases. It has won the “Most Promising Innovation (Gold Award)” in the Techblazer Awards 2021.