Translational Predictive Biology Binil Starly
Professor, Industrial and Systems Engineering
Binil Starly joined NC State in August 2013 as a Chancellor’s Faculty Excellence Program cluster hire in Translational Regenerative Medicine. He is a professor in the Edward P. Fitts Department of Industrial and Systems Engineering. Starly also directs the Data Intensive Manufacturing Environment Laboratory (DIME Lab), design and development of data-driven algorithma, software, methods and computational tools to enhance analysis of 3D digital models, medical image data, and data-driven sensing, robotics automation and control. Relevant technologies include organization of 2D and 3D data, representation, retrieval, analysis, recognition and classification of design and manufacturing related data. Starly’s cluster work involves building production platforms for engineered biological tissue, leveraging advances in computer-aided tissue scaffold production, bioprinting, intelligent machines, non-invasive sensors and advanced bioreactors to achieve the goal of tissue engineering on-demand.
Starly received his bachelor of science in mechanical engineering from the University of Kerala, India, and his Ph.D. in mechanical engineering from Drexel University. He later joined the University of Oklahoma to develop additive manufacturing platforms for tissue engineering. Starly has received the National Science Foundation Faculty Early Career Development Award for research in multi-scale biological tissue scaffold systems built from additive manufacturing platforms. He has published more than 40 journal articles gathering more than 3,000 citations in the field of design/manufacturing, personalized biomedical implants, biofabrication and tissue engineering. For his contributions, he was awarded the 2011 Society of Manufacturing Engineering Young Manufacturing Engineer Award, a NASA TechBrief Award and numerous teaching awards. He has supervised the research of 21 master’s and five Ph.D. students. He teaches undergraduate and graduate courses related to engineering mechanics, digitally enabled design and manufacturing, smart manufacturing and regenerative medicine manufacturing.
