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 an 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 Thayer
                    School of Engineering, 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
                  between 2007-2008. He leads TANUH: The AI-Centre of
                    Excellence in Healthcare funded by Ministry of
                  Education at Indian Institute of Science, Bangalore.
                  He is a Professor in the Department of Computational
                  and Data Sciences, Indian Institute of Science,
                  Bangalore. He served as the chair of the department
                  for the period 2016-2018 as well as the Institute
                  Coordinator of the Prime
                          Minister’s Research Fellowship (PMRF) scheme
                  scheme for the period 2018-2020. He was the Chair of
                  the Office of
                          International Relations (OIR) 
                  for the period 2018-2021 and the Chair of the Office of
                            Development and Alumni Affairs (ODAA)
                  for the period 2020-2023. He had two
                  industrial sabbaticals, first one in 2015, 
                  involved developing post-processing algorithms for
                  clinical MR Imaging at Samsung R&D Institute,
                  Bangalore. Another sabbatical in 2023-2024, he focused
                  on applying AI techniques to enhance CT imaging at GE
                  HealthCare’s Edison AI Advanced Technology Group (ATG)
                  in Bangalore. 
                      He was a recipient of the Apple
                  Laureate award in 2009. He also received the
                  Department of Atomic Energy Young Scientist Research
                  Award in 2010 and the 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 the 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 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, and SPIE,
                  and serves as an associate
                    editor of IEEE Transactions on Medical Imaging.

