Phaneendra Yalavarthy received B.Sc. and M.Sc. degrees in physics from Sri Sathya Sai University, Puttaparthy, India in 1999 and 2001 respectively. He also obtained a M.Sc. degree in Engineering from Indian Institute of Science, Bangalore, India in 2004. He received a Ph.D., working as a U.S. Department of Defense Breast Cancer Pre-doctoral Fellow, in biomedical computation from Dartmouth College, Hanover, USA in 2007. He worked as a post-doctoral research associate in the Department of Radiation Oncology, School of Medicine, Washington University in St. Louis, USA from 2007-2008. Currently, he is working as a Professor in the Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India. He is also the Chair of Office of Development and Alumni Affairs (ODAA) of IISc, Bangalore. He served as the chair of the department for the period 2016-2018 as well as Institute coordinator of Prime Minister’s Research Fellowship (PMRF) scheme for the period 2018-2020. He was the Chair of Office of International Relations (OIR) for the period of 2018-2021. He spent one year (2015) of sabbatical at Health and Medical Equipment (HME) Division of Samsung R&D Institute, Bangalore, working on post-processing algorithms for clinical applications of MR Imaging.

    He is a recipient of the Apple Laureate award in the year 2009. He also received Department of Atomic Energy young scientist research award in 2010 and a coauthor of the work chosen for the International Society for Magnetic Resonance in Medicine (ISMRM) Merit Award (Summa Cum Laude) in 2012. He is a recipient of Indian National Academy of Engineering (INAE) young engineer award and Innovative Young Biotechnologist Award (Government of India) for the year 2013. He also received the National Academy of Sciences, India (NASI)-Young Scientist Platinum Jubilee Award in the year 2014. He received S. Ramachandran-National Bioscience Award for the year 2020 from Department of Biotechnology, Government of India.

    His research interests include Computational methods in medical imaging, deep learning in medical imaging, medical image processing (reconstruction/analysis), physiological signal processing, diffuse optical imaging, and photoacoustic imaging. He is a senior member of IEEE, OSA, & SPIE and serves as an associate editor of IEEE Transactions on Medical Imaging.

Academic CV: PDF