Kilton Hopkins
Kilton started programming computers when he was 8 years old. He started a software company a few years later. The world is very different than it was back then, but Kilton is still bringing new technologies to life. Kilton is the co-founder and CTO of Edgeworx, a startup that provides enterprise-scale edge computing. He is the creator of the Eclipse ioFog open-source fog and edge computing technology. He is the former IoT advisor to the City of San Francisco and recently served as IoT program director for the Level program at Northeastern University. Kilton lives in Berkeley, California. He received his MBA from The University of Chicago Booth School of Business in 2010.
Vincent Huard
Vincent Huard, Senior Executive Director and Chief Technology Officer, leads long-term research programs at Dolphin Design. Through the research’s initiatives, in collaboration with business and academic leaders, the CTO office explores emerging technologies and assesses their impact on the company’s business. Vincent is also responsible for Audio and Edge AI IP product lines to develop high-quality IPs and support our customers.
Prior to joining Dolphin Design and SOITEC group in 2018, Vincent served multiple managerial and technical staff positions at Philips, NXP semiconductors, and STMicroelectronics focusing on improving Low-Power and High Reliability products throughout the companies.
Vincent has held appointments as a visiting scholar at the University of California working on MRAM and spintronics while teaching graduate students.
He authored 200+ papers, several invited papers, tutorials, and keynotes, held 20+ patents, and used to serve as IRPS Management Committee member and on technical committees of various conferences. He is the recipient of numerous Best Paper awards in various conferences.
Vincent received a B.S. (1996) in physics and an M.S. (1997) in electrical engineering from INPG. He received his Ph.D. (2000) in physics from Grenoble University.
Matt Wickesberg
Matthew Wickesberg is a Principal Product Manager with a decade of experience bringing AI products from concept to reality. His specialty is in AI powered video and image processing applications, of late, bringing Axon's Fleet product-line to market. Fleet provides a situational awareness platform, powered by AI, to the police patrol vehicle environment. Matthew is a strong believer in distributed AI, advocating for platforms that bridge the edge and the cloud, which can grow more intelligent over time while still maintaining user and data privacy.
Brian Cruz
Ron Lev
Ron is an executive with 20 years of international experience in developing, executing, and operating strategic new business projects at best-in-class Telecom and Media companies. Ron is currently the GM of Cox Edge Services and is responsible for developing, incubating, and executing on the company’s Edge/Low Latency strategy, including solution and partnership development, investments, acquisitions, and market trials. Ron also serves as a Member of the Board of Directors at WTFast.
René Breyel
Passionate about the integration and practical application of disruptive technologies and their effects on society, René Breyel leads the company Claridion, through which he has advised many large companies such as Ericsson, Hydro-Québec, STM, Canada Post and others.
Having developed advanced skills in monitoring and management of critical technological environments, he now applies his expertise to the field of IoT (Internet of Things). By founding the AIoT Canada technology cluster, whose mission is to accelerate the adoption of IoT for AI at the national level, he now offers innovative companies the strategic and operational support they need to ensure the success of their digital transformation by the Internet of Things and Artificial Intelligence.
IoT Cybersecurity, the ethics of data, talent development and the access to territorial innovation infrastructures represent for him sensitive and very important subjects to address, especially in the multi-dimensional framework of AIoT (AI + IoT).
Sauptik Dhar
Sauptik Dhar is a Senior Staff Research Scientist at a stealth start-up company in Silicon Valley. Prior to that he was the AI Technical Lead at LG SVL AI Team. There he was leading the fundamental research for on-device learning. The aim of that project was to understand the research landscape for on-device learning and the limitations of the existing approaches. An immediate outcome of this project helped identify the prospective use-cases and research challenges pertaining to edge learning. In addition, he also led the AutoML research on advanced Hyperparameter Optimization in collaboration with University of Toronto. Before LG, he was a Senior Research Scientist at Robert Bosch LLC, where he led the research effort on scalable machine learning and large scale HD Maps for autonomous driving. During this role he has worked and led several other use-cases in domains like, Healthcare, Thermotechnology, Manufacturing, Automotive etc.
Dr. Dhar received his PhD in Electrical and Computer Engineering from University of Minnesota, Twin Cities. He received his B.Tech from National Institute of Technology, Silchar in Electronics and Telecommunications. He is currently an Associate Editor for Neural Processing Letters, and has also served as a reviewer for several journals like, Neural Networks, Pattern Recognition, Neurocomputing, Plos One, IEEE Systems Man. and Cybernetics (B), IEEE TPAMI and others. He has also served as a PC member of the conferences like, KDD (2016-2020), ICMLA (2016-2020), SDM 2018, IJCNN 2019, NIPS 2016 and others, and actively publishes in the community.