Patrick D. Bangert

Patrick heads the AI Engineering and AI Sciences teams at Samsung SDS America. He is responsible for Brightics AI Accelerator, a distributed ML training and automated ML product that is also included in the Brightics AI platform. He is responsible for X.insights, a data center intelligence platform. Among his other responsibilities is to act as a visionary for the future of AI at Samsung.

Before joining Samsung, Patrick spent 15 years as CEO at Algorithmica Technologies, a machine learning software company serving the chemicals and oil and gas industries. Prior to that, he was assistant professor of applied mathematics at Jacobs University in Germany, as well as a researcher at Los Alamos National Laboratory and NASA’s Jet Propulsion Laboratory. Patrick obtained his machine learning PhD in mathematics and his Masters in theoretical physics from University College London.

A German native, Patrick grew up in Malaysia and the Philippines, and later lived in the UK, Austria, Nepal and USA. He has done business in many countries and believes that AI must serve humanity beyond mere automation of routine tasks. An avid reader of books, Patrick lives in the San Francisco Bay Area with his wife and two children.

Cheng Wang

Originally from Shanghai, PRC.  Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley.  MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.

Elnaz Sarraf

Elnaz Sarraf is the CEO and founder of the award-winning Roybi Robot – the world’s first AI-powered smart toy to teach children language and STEM skills. It also has been named one of TIME Magazine’s Best Inventions in Education, on the 2019 CNBC Upstart 100 list as one of the world’s most promising startups, and on Fast Company’s 2019 World-Changing Ideas. Elnaz is also a Board Member at the Consumer Technology Association, Small Business Council, and member of Forbes Technology Council. Before starting ROYBI, Elnaz co-founded and led a consumer electronics/IoT company, iBaby, serving as the company's President.

Mahesh Makhijani

Anil Mankar

Anil Mankar has spent 30 years developing products in the semiconductor industry. At Western Digital, Mr. Mankar developed PC core Logic chipsets. During his years at Conexant Systems Inc. in the position of VP of Engineering, he developed multiple products across industry segments and later became the company's Chief Development Officer overseeing all product development for V92 Modem, DSL, Set-top boxes, PC audio and video 'System on a Chip' products. Mr. Mankar was SVP of VLSI Engineering at Mindspeed Technologies, responsible for Wireless and VOIP infrastructure product development.

Pete Bernard

Amarjot Singh

Dr Amarjot Singh is the founder and chief executive officer (CEO) of Skylark Labs LLC., that creates advanced AI systems to solve today's far-reaching physical security challenges. Dr Singh is also a research fellow at Stanford University and part of the L2M DARPA program, USA, where he is attempting to develop a framework for Artificial General Intelligence (AGI). Before launching Skylark and joining Stanford, Singh received his doctorate in Artificial Intelligence (Deep Learning) from the University of Cambridge, the UK in 2018. He has also been associated with several other institutions including Massachusetts Institute of Technology (MIT), Harvard University, National University of Singapore (NUS), INRIA Sophia Antipolis, France, University of Bonn, Germany, Simon Fraser University, Canada, Indian Institute of Science (IISc), Bangalore, India, and NIT Warangal, India. Singh has made several breakthrough contributions towards the areas of artificial intelligence and computer vision with over 50 international journal and conference publications. His research on 'Disguised Face Recognition' and 'Violent Activity Detection from Drones' gained international attention and was covered by several media houses including the BBC World News, London, NBC, USA, ABC Radio, Australia, Telegraph, UK, Discovery Channel, Canada, New Scientist, The cover of the Economist, Vice, Inc. etc.

Peter Padd

Peter Padd CEO/CTO. Peter brings the disciplined operational and entrepreneurial experience from Silicon Valley startups and senior management positions at Fortune 500’s and Government. He has done the hard work of bringing to life innovation. He has a background in mathematics, statistics and technology, MBA (Innovation) University of NSW, completed coursework in entrepreneurship and a H4D educator from Stanford GSB, Adjunct Professor in Defense Innovation at the University of Tasmania. Peter lives in Tasmania, Australia at the edge of the world where edge computing is what they do by default!

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.

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).

Modar Alaoui

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.

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.

Frédéric Desbiens

Frédéric Desbiens is working at the Eclipse Foundation as the program manager for IoT and Edge Computing. His job is to help the community innovate by bringing devices and software together. He is a strong supporter of open source. In the past, he worked as a product manager, solutions architect and developer for companies as diverse as Pivotal, Cisco and Oracle. Frédéric holds an MBA in electronic commerce, a BASc in Computer Science and a BEd, all from Université Laval.

Jonathan Hou

Jonathan is President of Pleora Technologies, the world’s leading supplier of video interfaces for system manufacturers and camera companies serving the military, medical, and industrial automation sectors.

Jonathan is responsible for Pleora’s day-to-day operations, including the company’s expansion into embedded, AI, and machine learning solutions. Jonathan joined the company as CTO in 2018, and brings extensive experience from the quality inspection, machine vision, and sensor networking industries. He has a Bachelor of Applied Sciences in Computer Engineering from the University of Waterloo and a Master of Engineering from McGill University.

Rehan Hameed

Rehan Hameed received his PhD from Stanford University where he worked on energy efficient processor design and polymorphic multiprocessor architectures, and co-invented the Deep Vision architecture. In 2014 he co-founded Deep Vision and is now the CTO where he focuses on driving the company’s technological vision, including continuous evolution of the SW stack and silicon architecture. Previously he has worked on the design of multiple chips and algorithms for audio and vision processing.

Riccardo Badalone

Riccardo Badalone is a passionate and driven tech entrepreneur. For the last 20 years, he has led multi-disciplinary teams and built category-defining companies from the ground up. He is currently the CEO of C2RO in Montreal, which under his leadership has become a global provider of Privacy-Aware Video Analytics AI Software and one of the most trusted AI software companies in the world.

Prior to C2RO, Riccardo was a co-founder and CEO of Diablo Technologies. Over a period of 15 years, he and his team built a business that dominated the High-Performance Enterprise Memory/Storage space and delivered cutting-edge technology solutions to Fortune 500 companies across the US, Europe and China.

Riccardo is an active member of the Montreal Startup Ecosystem. As part of MentorConnect Montreal, Riccardo is helping companies by providing strategic guidance to improve culture, productivity and accelerate success.

Jeff Stevens

From operating executive to entrepreneur to disruptive inventor and engineer, Jeff Stevens 25+ years of experience has covered healthcare, financial services, and enterprise technologies. He has been the visionary and/or managed the transformation of ideas (sometimes moonshot) into reality rooted in market opportunity and impact, while mitigating financial risks.

In 2017, he was one of three winners of the NASA iTech competition for his novel, diagnostic, crew health technology for the mission to Mars and beyond. He coined the phrase “Joules for Jewels” to describe the tradeoff between stored energy (joules) and the data that can be harvested (jewels) by ultra-low-power sensors.

Aneet Chopra

Aneet drives partner engagement, strategic account management and helps shape the forward-looking roadmap for XMOS.

 He has extensive experience across the electronics industry. His career has centred around building and transforming organisations with world class capabilities for innovation, technology and service. He has worked across engineering, operations and sales, skilfully leading cross-functional teams from strategy to execution, latterly as General Manager, Compute Vision for Intel. He has played a key role in chip development and ecosystem transformation for the IoT. Aneet worked for Netboost during its acquisition by Intel and was involved in the Movidius acquisition, leading the integration into Intel. Aneet is a board advisor for Nimo Planet, an AR glasses company.

Aneet holds an honours degree from University of California, Davis and an MBA from Wharton School, University of Pennsylvania.

Wajahat Qadeer

Wajahat Qadeer received his PhD from Stanford University where he did seminal work on energy efficient processor design culminating in the design of ACM recognized Convolution Engine Architecture. He co-founded Deep Vision in 2014 where he is the Chief Architect. He drives the architecture of DeepVision's industry proven software stack and silicon. Prior to DeepVision, he played key roles in the design of two highly innovative and class leading chips. One of the chips won a design award at the Design Automation Conference.

Dimitri Kusnezov

Dr. Dmitri Kusnezov received A.B. degrees in Physics and in Pure Mathematics with highest honors from UC Berkeley. Following a year of research at the Institut fur Kernphysik, KFA-Julich, in Germany, he attended Princeton University earning his MS in Physics and Ph.D. in Theoretical Nuclear Physics. At Michigan State University, he conducted postdoctoral research and then became an instructor.

In 1991, he joined the faculty of Yale University as an assistant professor in physics, becoming an associate professor in 1996. He has served as a visiting professor at numerous universities around the world. Dr. Kusnezov has published over 100 articles and a book.

He joined federal service at the National Nuclear Security Administration in late 2001 and is a member of the Senior Executive Service and is also a Visiting Researcher at Yale. He currently serves as Deputy Under Secretary for A.I. and Technology.

Sumeet Kumar

Dr. Sumeet Kumar is CEO of Innatera Nanosystems, the pioneering Dutch neuromorphic processor company. Dr. Kumar holds an MSc and PhD in Microelectronics from the Delft University of Technology, The Netherlands. He was previously with Intel, where he worked with the Imaging and Camera Technologies Group developing domain-specific tools for the development of complex media processor architectures. At Delft, Dr. Kumar is credited with creating two highly-successful European R&D programmes developing energy-efficient compute hardware for highly automated vehicles, together with organizations including Infineon, NXP, and BMW, among others. He was also responsible for leading industry-focused research on power-efficient multiprocessors and computational neuroscience.

Aneet Chopra

Aneet drives partner engagement, strategic account management and helps shape the forward-looking roadmap for XMOS.

 He has extensive experience across the electronics industry. His career has centred around building and transforming organisations with world class capabilities for innovation, technology and service. He has worked across engineering, operations and sales, skilfully leading cross-functional teams from strategy to execution, latterly as General Manager, Compute Vision for Intel. He has played a key role in chip development and ecosystem transformation for the IoT. Aneet worked for Netboost during its acquisition by Intel and was involved in the Movidius acquisition, leading the integration into Intel. Aneet is a board advisor for Nimo Planet, an AR glasses company.

Aneet holds an honours degree from University of California, Davis and an MBA from Wharton School, University of Pennsylvania.

Brian C. Kaul, Ph.D

Fay Arjomandi

Srinivas Chitiveli

Srinivas Chitiveli, is a Product Executive at Mavenir responsible for defining strategies and developing products that deliver AI solutions to enterprises and Telecom service providers. Specialized in the science of deep learning and machine learning, Srinivas has applied trained models to derive insights from IoT devices and unstructured sources like images, videos, text & speech. With over 25 years of varied experiences, he is an author of books & blogs, an inventor with patented ideas and active at exploring innovative approaches that accelerate AI journeys for Enterprises.