Josh Siegel

Josh Siegel is a postdoctoral associate in the Field Intelligence Laboratory at the Massachusetts Institute of Technology and the founder of several automotive startups. He received his PhD in Mechanical Engineering for his work developing architectures for the Internet of Things and applying connected system data to predicting mechanical failures. While at MIT, Siegel ran the Entrepreneurs Club and led the Electric Vehicle Team.

Dr. Siegel and his companies have been recognized with numerous accolades, such as the Lemelson-MIT Student Prize, the MassIT Government Innovation Prize, the BMW Ideation Prize, the Soldier Design Competition’s Boeing Prize, and the Cloud, IoT, and M2M Hero of the Year Awards in the Innovation World Cup. He holds 8 pending and issued patents, regularly publishes in academic conferences and journals, and his work has been featured in popular media such as WIRED.

Today, Dr. Siegel continues to develop a secure and efficient architecture for the Internet of Things and is preparing to commercialize his research identifying vehicle failures using pervasively sensed data.


Sanjay Sarma

Sanjay Sarma is the Vice President for Open Learning. He is also the Fred Fort Flowers (1941) and Daniel Fort Flowers (1941) Professor of Mechanical Engineering at MIT.

A co-founder of the Auto-ID Center at MIT, Dr. Sarma developed many of the key technologies behind the EPC suite of RFID standards now used worldwide. He was the founder and CTO of OATSystems, which was acquired by Checkpoint Systems (NYSE: CKP) in 2008, and he has worked at Schlumberger Oilfield Services in Aberdeen, UK, and at the Lawrence Berkeley Laboratories in Berkeley, California.

Currently, Dr. Sarma serves on the boards of GS1, EPCglobal, several startup companies including Senaya and ESSESS, and edX, the not-for-profit company set up by MIT and Harvard to create and promulgate an open-source platform for the distribution of free online education worldwide. He also advises several national governments and global companies.

Author of more than 75 academic papers in computational geometry, sensing, RFID, automation, and CAD, Sarma is the recipient of numerous awards for teaching and research, including the MacVicar Fellowship, the Business Week eBiz Award, and InformationWeek’s Innovators and Influencers Award. He received his bachelor’s degree from the Indian Institute of Technology, his master’s degree from Carnegie Mellon University, and his PhD from the University of California at Berkeley.


Rahul Bhattacharyya

Rahul Bhattacharyya is a Research Scientist at the Auto-ID Labs, MIT. He obtained a Ph.D. in Systems Engineering from MIT. His research encompasses the development and integration of technologies that form the framework for IoT. He is interested in pervasive wireless sensor design using smart materials and predictive analytics for fault detection. Rahul has served on the organizing committees of the IEEE RFID Conference 2010-17 and the 4th International Conference on IoT.


Fadel Adib

Fadel Adib is an Assistant Professor at MIT. He leads the Signal Kinetics research group at the MIT Media Lab. His group explores and develops new technologies that can extend human and computer abilities in communication, sensing, and actuation. Fadel’s research has been identified as one of the 50 ways MIT has transformed Computer Science over the past 50 years. His work has also been featured in major media outlets including CNN, BBC, The Wall Street Journal, The Washington Post, and The Guardian. Fadel was named to the Forbes’ list of 30 under 30 and MIT Technology Review’s list of the world’s top 35 innovators under 35.


Simon Mayer

Simon Mayer is a senior researcher at the Siemens Web of Systems Research Group in Berkeley, USA. He received his PhD in Computer Science from ETH Zurich for his work on empowering people and machine clients to interact with and manage Web-based smart environments.  Simon’s long-term research goal is to contribute to a methodology and system that will allow people to interact, cooperate, and collaborate with complex distributed environments in their homes, on the road, and at their workplaces without prior training. At Siemens, he focuses on the industrial domain, working on applications of Semantic Web technologies, robotic task planning, and Augmented Reality in the domains of future manufacturing, smart grids, and building automation technologies.


Isaac Ehrenberg

Isaac Ehrenberg (MS ’09,PhD ’13) is currently a Senior Member of the Technical Staff at the Charles Stark Draper Laboratory. Previously, Isaac was a member Auto-ID Lab at MIT, where his research focused on robotics, automation, and manufacturing solutions to electromagnetic problems for the Internet of Things.


Dominique Guinard

Dominique Guinard is the CTO and co-founder of EVRYTHNG, an IoT PaaS managing billions of connected products. Before that, Dom was a Web of Things pioneer at ETH Zurich and MIT where he worked on his Ph.D. Dom is also an IoT expert with more than a decade spent working on projects for Oracle, the Auto-ID Labs, Nokia and SAP. Dom authored “Building the Web of Things” and “Using the Web to Build the IoT” (Manning).  In 2011 and 2016, Dom was listed in the top 10 IoT thinkers by Postscapes and early in 2012, his Ph.D. on the Web of Things was granted the ETH Medal.


Lex Fridman

Lex Fridman is a postdoc at MIT, working on computer vision and deep learning approaches in the context of self-driving cars with a human-in-the-loop. His work focuses on large-scale, real-world data, with the goal of building intelligent systems that have real world impact. Lex received his BS, MS, and PhD from Drexel University where he worked on applications of machine learning, computer vision, and decision fusion techniques in a number of fields including robotics, active authentication, activity recognition, and optimal resource allocation on multi-commodity networks. Before joining MIT, Lex was at Google working on machine learning and decision fusion methods for large-scale behavior-based authentication.


Brian Subirana

Brian Subirana is Director of the MIT Auto-ID Laboratory and Research Scientist at MIT. He has been affiliated with MIT for over 20 years in various capacities including Visiting Professor at the MIT Sloan School of Management. He has also taught at programs from various Business Schools (MIT Sloan, Harvard, Stanford, IESE, INSEAD). He spent the academic year 2015/2016 researching digital learning strategies as Visiting Scientist with the MIT Office of Digital Learning. Before becoming academic he worked at The Boston Consulting Group. He obtained his PhD in Computer Science at the MIT Artificial Intelligence Laboratory (now CSAIL), his MBA at MIT Sloan, has founded three start-ups and has over 200 publications (including three books). He currently researches disruptive IoT/AI architectures focusing in four industries: digital learning, electric vehicles, retail supply chain, and cryptocurrencies/blockchain. He is particularly interested in architecting business strategies and technical platforms that optimize value from IoT technologies.


Srini Devadas

Srini Devadas is the Webster Professor of Electrical Engineering and Computer Science and has has been on the MIT EECS faculty since 1988. He served as Associate Head of the Department of Electrical Engineering and Computer Science, with responsibility for Computer Science, from 2005 to 2011.

Devadas’s research interests span Computer-Aided Design (CAD), computer security and computer architecture and he has received significant awards from each discipline. In 2015, he received the ACM/IEEE A. Richard Newton Technical Impact award in Electronic Design Automation. He received the IEEE Computer Society Technical Achievement Award in 2014 for inventing Physical Unclonable Functions and single-chip secure processor architectures. Devadas’s work on hardware information flow tracking published in the 2004 ASPLOS received the ASPLOS Most Influential Paper Award in 2014. His papers on analytical cache modeling and the Aegis single-chip secure processor were included as influential papers in “25 Years of the International Conference on Supercomputing.” He is an IEEE and ACM Fellow.


Tod Hynes

Thomas (Tod) Hynes is a Senior Lecturer in the Martin Trust Center for MIT Entrepreneurship. He teaches Energy Ventures, a graduate-level course that guides teams of business, engineering, science, and policy students through the process of creating new energy ventures.

Hynes is also the founder and president of XL Hybrids, a company which addresses one of the largest and most immediate challenges in energy – rapidly reducing dependence on petroleum for transportation. XL Hybrids has developed a proprietary hybrid electric powertrain which is cost effective for commercial fleets and can be installed in both new and existing vehicles in four hours. This hybrid powertrain is rapidly getting adopted by Fortune 500 companies and uses components from leading suppliers like Johnson Controls. XL Hybrids has also developed an advanced telematics platform which wirelessly collects vehicle operational data to optimize the performance of hybrid technology in real world applications. Hynes raised over $10M to launch this venture, and assembled and manages a cross-disciplinary team.


Richard Whitney

Richard Whitney is the VP of Product at Particle. He previously led product at Lockitron; picked up a master’s degree from the MIT Media Lab; collaborated with OK Go, had installations at MOCA, LACMA and the V&A; worked at NASA, Idealab, and Samsung; and made an app-controlled liquor cabinet—though not in that order.

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