Dr. Sibendu Som has over a decade of experience in enabling technologies for more efficient engine combustion using computational tools. He leads a Computational Fluid Dynamics (CFD) team at Argonne National Laboratory with research focus on the development of nozzle-flow, spray, and combustion models, and high-performance computing for reciprocating engine and gas turbine applications. His team is responsible for developing predictive simulation capabilities for OEMs to develop advanced high-efficiency low-emission engines. Dr. Som’s group is pioneering the implementation of uncertainty quantification for engine simulations. His team is also developing workflows to use machine learning and supercomputing for engine design. He is a co-founder and technical lead on Argonne’s Virtual Engine Research Institute and Fuels Initiative (VERIFI) program which is aimed at providing predictive simulations for OEMs.
Dr. Som is a Computational Fellow at the University of Chicago.
Dr. Som is the recipient of HPC Innovation Excellence Award by IDC in 2014, winner of the Federal Laboratory Consortium Award for Excellence in Technology Transfer by DOE in 2015, and “best postdoctoral supervisor award” from Argonne in 2016. Dr. Som has authored more than 100 papers with more than 50 each in journals and peer-reviewed conferences with more than 2000 citations.
Dr. Som holds a Bachelor of Engineering degree in Mechanical Engineering from Osmania University (India) in 2003. He then moved to Chicago and received a Master of Science (2005) and Doctor of Philosophy (2009) degrees in Mechanical Engineering from University of Illinois at Chicago.
Dr. Som worked as a student at Argonne from 2006-09 while finishing his Ph.D. thesis. In Jan. 2010, he joined as a postdoc at Argonne and was subsequently converted to staff in May 2011. He became PI in 2012 and currently is a group leader of a team consisting 10 people, including staff engineers and postdocs.