Sanjay Sarma is the Fred Fort Flowers and Daniel Fort Flowers Professor of Mechanical Engineering, and was recently been appointed MIT’s new Director of Digital Learning. Dr. Sarma founded the Auto-ID Center at MIT and developed many of the key technologies behind the EPC suite of RFID standards now used worldwide. He was also the the founder and CTO of OATSystems, which was acquired by Checkpoint Systems (NYSE: CKP) in 2008. He sits on the boards of GS1, EPCglobal and several startup companies. Dr. Sarma received his Bachelors from the Indian Institute of Technology, his Masters from Carnegie Mellon University and his PhD from the University of California at Berkeley. In between degrees, Sarma worked at Schlumberger Oilfield Services in Aberdeen, UK, and at the Lawrence Berkeley Laboratories in Berkeley, California.  He has authored over 50 academic papers in computational geometry, sensing, RFID, automation and CAD, and is the recipient of numerous awards for teaching and research including the MacVicar Fellowship, the Business Week eBiz
Brian Subirana is the director of the MIT Auto-ID Laboratory. He holds a PhD in Artificial Intelligence (Computer Vision) from MIT CSAIL, an MBA from MIT Sloan and has over 200 publications. Prior to becoming an academic he was with The Boston Consulting Group. He currently researches applications of disruptive IoT/AI technologies focusing in five industries: digital learning (he spent the academic year 2015/2016 researching digital learning strategies as Visiting Scientist with the MIT Office of Digital Learning), electric vehicles, retail, supply chain, and cryptocurrencies/blockchain. He is particularly interested in inventing business strategies and technical platforms that optimize value from IoT/AI technologies.
Rahul Bhattacharyya is a Research Scientist at the Auto-ID Labs, MIT. He obtained a Bachelors and Masters Integrated Dual Degree in Civil Engineering from the Indian Institute of Technology Bombay in 2006 and a Ph.D. in Systems Engineering from the Massachusetts Institute of Technology in 2012. His research interests broadly encompass the development and integration of technologies that form the framework for the Internet of Things. He is particularly interested in low-cost, pervasive wireless sensor design using smart materials and novel antenna designs and predictive analytics for fault detection using machine-learning techniques. Rahul has served various roles on the organizing committee of the IEEE International Conference on RFID 2010-15 and was technical program co-chair of the 4th International Conference on the Internet of Things. He currently holds membership of the IEEE and the International Society for Structural Health Monitoring of Intelligent Infrastructure.
Jason Ku is a Post-Doc in CSAIL at the Massachusetts Institute of Technology. His research focuses on a wide range of topics related to algorithmic computational geometry, concentrating on 3D spacial mapping algorithms and folding algorithms applied to real world mechanical problems. Ku also serves on the Board of Directors of OrigamiUSA and is the Managing Editor for their online magazine, The Fold.
Partha Sarathi Bhattacharjee is a researcher and graduate student at MIT where he studies engineering, management, and policy as a candidate in two interdisciplinary programs. He served as an analyst and consultant to the biopharmaceutical industry prior to commencing his graduate education.

 Isaac Ehrenberg is a research affiliate at the MIT Auto-ID Lab, and has served as the lab’s Associate Director. He studied Physics at Yeshiva College before slipping under the Massachusetts Institute of Technology’s radar to attend some classes and a graduation or two. Not ironically, his research interests relate to said radar, but more accurately to the fabrication of 3D electromagnetic structures including metamaterials and antennas that can be used to enhance radar and similar systems including RFID. He is particularly interested in the application of Additive Manufacturing to electromagnetic device design and fabrication. Isaac is least known for being the root cause of an infamous White House Petition.

Yongbin Sun is from Xinjiang, China. He is currently working on RFID augmented vision, which realizes fast, robust and accurate object identification in video feeds using feature information retrieved from RFID tags in the environment. He likes traveling and playing basketball. In his free time, he likes hiking with his wife and dog.

Dr Shoumen Palit Austin Datta is a senior member of the Auto ID Labs and MIT Affiliate at the School of Engineering at MIT. He is the former Senior Vice President of the Industrial Internet Consortium (2013-2016) and Co-Founder and Executive/Research Director of the MIT Forum for Supply Chain Innovation (2001-2009) at the MIT School of Engineering. He has taught Strategy and Management at the MIT Sloan School of Management. He was a Member of the Auto ID Center at MIT (1999-2003), MIT Data Center (2004-2006) and MIT Energy Initiative (2008-2009). As a Research Scientist, Engineering Systems Division, MIT School of Engineering, he has explored technology innovation, RFID, IoT and data analytics. He has offered executive education courses at MIT and several other institutions in US, EU and APAC. Shoumen earned his PhD in Molecular Biology from Rutgers University School of Medicine (UMDNJ) in research collaboration with Department of Molecular Biology at Princeton University. He was a Research Fellow in Medicine (Neuro-Endocrinology) at the Massachusetts General Hospital and Instructor in Medicine at Harvard Medical School. He was a Research Associate at the Whitehead Institute at MIT and a member of the Human Genome Project at MIT. He was a Research Scientist at University of California UCSF School of Medicine, San Francisco, California. In between his careers in research/medicine and engineering/management, he has served in the public sector to improve K-12 public education as a Special Assistant to the City and County of San Francisco, State of California, Science Education Partnership at UCSF School of Medicine and Berkeley Pledge initiative at the University of California, Berkeley. For additional details go to and Publications and CV  Please write to or visit to connect via social media.