Atam Dhawan, Ph.D.

DhawanAtam Dhawan, PhD, New Jersey Institute of Technology
Atam P Dhawan is Distinguished Professor of Electrical & Computer Engineering and Vice Provost for Research and Development at NJIT.  Dr. Dhawan is an elected Fellow of the National Academy of Inventors (NAI), Fellow of the Institute of Electrical and Electronics Engineering (IEEE), and Fellow of the American Institute of Medical and Biological Engineering (AIMBE) for his contributions in medical imaging and image analysis, and healthcare innovations.  He has published over 215 research papers and book chapters. He has also authored and co-authored several books in medical imaging, and image analysis. He is a recipient of numerous awards including Martin Epstein Award (1984), NIH FIRST Award (1988), Sigma-Xi Young Investigator Award (1992), IEEE EMBS Early Career Achievement Award (1995), Doermann Distinguished Lecture Award (1999) and EMBS Distinguished Lecturer award (2012-2013). He serves as the Editor-In-Chief of the IEEE Journal of Translational Engineering in Health and Medicine. He was the Conference Chair of the IEEE 28th International Conference of Engineering in Medicine and Biology Society, New York in 2006.  Dr. Dhawan is leading  the Point-of-Care innovation technology initiative at EMBS. He has organized and chaired the IEEE-EMBS International Conferences on Point-of-Care Technologies and Healthcare Innovation in Bangalore, India (2013), and in Seattle (2014), and co-chaired the NIH-IEEE Strategic Conference on Point-of-Care Technologies for Precision Medicine held at the NIH NIAID Conference Center, Bethesda in 2015. He is the conference chair of NIH-IEEE Conference on Healthcare Innovation and Point-of-Care Technologies to be held in Cancun on November 9 through November 11, 2016.

Dr. Dhawan has chaired numerous NIH special emphasis and review panels including the NIH Chartered Study Section on Biomedical Computing and Health Informatics (2008-11). His research interests lie in medical imaging, medical image analysis, point-of-care technologies, pattern recognition and computer-aided-diagnosis.