Invited Speakers

Dr. Chris Rowen  is a well-known Silicon Valley entrepreneur and technologist. He is CEO of Cognite Ventures focused on investment and invention in deep learning applications, and a senior advisor to both the SystemX Alliance at Stanford University and Cadence Design Systems.  He has served as CTO for Cadence’s IP Group, where he and his team develop new processor and memory for advanced applications in mobile, automotive, infrastructure, deep learning and IoT systems.  Chris joined Cadence after its acquisition of Tensilica, the company he founded to develop extensible processors. He led Tensilica as CEO and later, CTO, to become one of the leading embedded architectures, with  more than 225 chip and system company licensees, who together ship more than 4 billion cores per year. Before founding Tensilica in 1997, he was VP and GM of the Design Reuse Group at Synopsys. Chris also was a pioneer in developing RISC architecture and helped found MIPS Computer Systems, where he was VP of Microprocessor Development. He holds an MSEE and PhD in electrical engineering from Stanford and a BA in physics from Harvard.  He holds more than 40 US and international patents.  He was named an IEEE Fellow in 2015 for his work in development of microprocessor technology. 

Dr. Julien Stamatakis is the co-founder and CTO of a DC Startup, Senseware, Inc. At Senseware, he designed and developed the first Sensors as a Service system making data from any sensor instantly available in real time from anywhere on the web using a unique plug-n-play wireless mesh network technology. Julien has over 10 years of experience in developing wireless sensor-based systems for variety of applications including healthcare and smart buildings and cities. Julien is a winner of multiple awards including the Belgian Robotic Cup and the European Space Agency (ESA) Zero G challenge. Julien has a Ph.D. degree in Electrical Engineering and has published many articles on wireless sensor-based systems and their application in treating Parkinson’s disease patients. Senseware can be followed on twitter @mySenseware

Dr. Mathias Wagner, Senior Fellow, is CTO of the Innovation Center Security & Crypto in the Business Unit Security & Connectivity of NXP Semiconductors. At the same time he is also Technology Manager for Hardware Security and Tamper Resistance within the global NXP Technology Competence Framework.

In this role, Mathias is responsible for driving innovation in the area of security and cryptography as well as managing the development of all security IP, be it hardware or software, as required by the Business Unit Security & Connectivity across all its Business Lines. As Senior Fellow he advises the BU and NXP Management on all aspects of security matters and is closely engaged with the leading players in a wide variety of security ecosystems. From 2006 to early 2016 Mathias has also served as chairman of the JHAS group, which is a cross-industry / public-sector working group within the Common Criteria scheme that defines the EAL ratings for all hardware and software attacks on smart cards and other embedded security devices.

Prior to his current position, Mathias Wagner served in various (security) technology functions in NXP, thereby gaining profound knowledge in all aspects of hardware attacks targeting smart cards and related embedded devices. Before joining NXP (Philips at the time), Mathias held a variety of Research positions with Hitachi Ltd, spending 9 years in Cambridge, UK, and 1.5 years at the Hitachi Central Research Laboratory, Tokyo.

Mathias graduated from the University of Hamburg, Germany, with a first class Diploma in Theoretical Physics (major) and Mathematics (minor), and subsequently a first class Doctor of Natural Science in Theoretical Semiconductor Physics. Mathias is a proud member of the “Studienstiftung des Deutschen Volkes”, an elite organization sponsoring the 0.5% best German students.

Wai Lee received his BS, MS, and PhD degrees, all from MIT in Electrical Engineering in 1983, 1986, and 1988, respectively. He did pioneering work in the development of the SiGe HBT and Monte-Carlo device simulations while working at the IBM T. J. Watson Research Center from 1988 to 1993.  He joined Texas Instruments Incorporated in 1993 and has worked at their Dallas headquarter ever since.  He has held technical management positions in a number of areas, including Low Power DSP, high-speed serial interfaces, audio products, and sensing products.  He was elected TI Fellow in 2004.  He is currently the chief technologist for the Medical, High-Reliability, and Sensing Products.  He has also been active at IEEE.  He served in the technical program committee of ISSCC from 2001 to 2003 and was a member of technical program committee of VLSI Circuit Symposium from 2000 to 2005. 

David is co-founder and CTO of NetraDyne, a company pushing the boundaries of Computer Vision and embedded Deep Learning. David has over 20 years of experience in High Tech R&D and is passionate for learning new things and taking ideas from concept to realization. David’s was a Principal Engineer in Qualcomm Research for 12 years. He led the Project and Systems Engineering work of a multi-disciplinary team for Qualcomm’s ultra-low-power and ranging ultra-wideband R&D efforts taking the system from concept to SOC prototypes. David worked on Qualcomm’s Zeroth neuromorphic technology where he initiated the use of Deep Convolutional Networks and led the Deep Learning sub-team. Prior to his PhD, David also worked on deep space efforts at NASA’s Jet Propulsion Laboratory (JPL). In 2015, David co-founded NetraDyne.
David has a BS in Electrical Engineer from New Mexico State University, and an MS & PhD in Electrical Engineering from Stanford. David has been granted over 100 US patents in a range of technologies. 

Theodore Wood is a patent attorney with a unique confluence of nearly 30 years of microprocessor, computer networking, and communications related technical, legal, military, and business development experience. He uses this experience to help companies protect and leverage their innovation and ensure marketplace exclusivity.
Ted’s work before the United States Patent and Trademark Office includes patent application preparation and prosecution, inter partes review (IPR), reexamination, and appeals before the Board of Patent Appeals and Interferences. He has also served the role of virtual in-house IP counsel for several high technology emerging companies, where he’s developed programs to identify, protect, manage, and commercialize IP assets. Additionally, he has helped establish reexamination strategies to challenge the validity of existing patents.
Ted is currently a Lieutenant Colonel in the U.S. Air Force Reserves. As an active duty officer and engineer, he was responsible for development of threat signal detection algorithms for aircraft electronic combat, satellite communication subsystems, and development and testing of low observable technologies. While in law school, he was a law clerk with a private company in the IP Law Section.
Ted has worked on IP matters involving a variety of technologies. More recently, his work has focused on software related technologies and issues involving patentability of computer software created by the Supreme Court’s decision inAlice Corp. Pty. Ltd. v. CLS Bank Int’l, 134 S. Ct. 2347 (2014). Other representative technologies include electricity generation, transmission, and distribution systems, industrial control system cyber security, computer graphics, biometric authentication, cryptography, telecommunications networks, wireless communication, high-speed mobile connectivity, the Internet of Things (IOT), GPS location-based services, medical devices, vehicle systems, and many others.

Ted was also named to the CleanTech 100, a list of the top 100 clean technology and renewable energy attorneys practicing in the industry. The list was published as part of the LMG Clean Technology & Renewable Energy 2013.

University of Dayton
J.D., CALI Excellence Award for Highest Grade in Patent Prosecution 1998

Northrop University
M.S., Electrical Engineering 1984

North Carolina A&T State University
B.S., Electrical Engineering 1981

Danielle Griffith has been with Texas Instruments in Dallas, Texas since 2003 and is a Distinguished Member of the Technical Staff in the Low Power RF group. She develops circuits and techniques for reducing cost, power consumption, and circuit board area for wireless connectivity products that support standards such as Bluetooth Low Energy and Zigbee. Her current focus areas are low power oscillators and MEMS circuitry. She has published 28 papers, 24 of them in IEEE journals or conferences. She has written a book chapter titled “Synchronization Clocks for Ultra-Low Power Wireless Networks” which was published by Springer as a part of the book “Ultra-Low-Power Short-Range Radios”. Danielle holds 11 issued US patents and has given multiple university and IEEE conference tutorial and workshop sessions. She was a member of the IEEE RFIC Technical Program Committee for conferences years 2014 and 2015, and has been a member of the IEEE International Solid State Circuits Conference Technical Program committee since conference year 2015. Danielle received the B.S.E.E. and M.Eng. degrees from the Massachusetts Institute of Technology, Cambridge in 1996 and 1997, respectively.

Dr. Peder A. Olsen is a principal research staff member and head of the machine learning and data analytics area in the mathematics department at IBM's Thomas J. Watson Research center in New York.  Peder's current main research areas are in machine learning and efficient, large-scale, non-smooth function optimization.  Before that, he worked on speech recognition at IBM for more than 15 years.  Peder obtained his mathematics Ph.D. degree in 1996 from the University of Michigan, Ann Arbor and his undergraduate degree in Industrial Mathematics from the Norwegian University of Science and Technology (NTNU), Trondheim Norway in 1991.

James Kozloski IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY 10598 USA ([email protected]). Dr. Kozloski is a Research Staff Member in the Computational Biology Center, where he manages the department of Computational Neuroscience and Multiscale Brain Modeling, leading a team that applies Computational Neuroscience to problems in brain disease and computation. Before joining IBM, he received his PhD. in Neuroscience from the University of Pennsylvania and was a postdoctoral fellow at Columbia University, studying and modeling functional brain circuits. At IBM, he devised a novel closed loop brain model and an ultrascalable computational method for detailed modeling of large scale neural tissue anatomy and physiology. He has coauthored 8 computational neuroscience papers and technical reports and 50 issued patents in the area of neurotechnology and computer science. He was named an IBM Master Inventor and advises IBM’s strategy in Neuroscience.

Roland Memisevic received the PhD in Computer Science from the University of Toronto in 2008 doing research on neural networks. He subsequently held positions as a research scientist at PNYLab, Princeton, as a post-doc at the University of Toronto and at ETH Zurich, and as junior professor at the University of Frankfurt. In 2012 he joined the MILA deep group at the University of Montreal as an assistant professor. He has been on leave from his academic position since 2016 to lead the research efforts at the Canadian-German AI startup Twenty Billion Neurons, which he co-founded in 2015. Roland was named Fellow of the Canadian Institute for Advanced Research (CIFAR) in 2015. His research interests are in deep and recurrent neural networks, in particular, as applied to video.