Harsh Bhate
Harsh Bhate is a Research Engineer in the Advanced Software Applications team at Ford Motor Company. His role entails working on enabling cutting-edge AI/ML applications in the embedded domain. As part of his past experiences, Harsh has developed & deployed custom neural network based computer vision solutions on various edge platforms such as NVIDIA Tegra TX2. Harsh graduated with a Masters in Electrical & Computer Engineering from Georgia Institute of Technology (Georgia Tech) and was a visiting student in the Electrical Engineering & Computer Science Department at Massachusetts Institute of Technology (MIT). His interests include machine learning, embedded systems and computer vision.
Pete Bernard
Javad Heydari
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.
Brandon Giles
Brandon is an Electrical Engineer driven to deliver products that materially impact the world. He's on a mission to improve the engineering efficiency of embedding performant, spatial AI and CV into products
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.
Joseph Engler
Joseph Engler, PhD is the Chief Artificial Intelligence (AI) Scientist at Collins Aerospace. Dr. Engler is responsible for the direction of the Allison™ AI Lab including research and development, product generation, and AI services. Dr. Engler is the creator of Collins Aerospace Enterprise AI, named Allison™. He received his B.S. degrees in Mathematics and Computer Science from The Franciscan University in 2004, his M.S. degree in Industrial Engineering from the University of Iowa in 2009, and his Ph.D in Industrial Engineering from the University of Iowa in 2011. He has authored multiple peer reviewed papers, holds 13 patents, and 12 trade secrets. Prior to joining Collins Aerospace, Joseph was an Associate Research Scientist in the University of Iowa Operator Performance Laboratory where he developed a number of novel machine learning algorithms for classification of human physiology. Dr. Engler’s current research centers on Fractal Learning in Artificial Systems and his research interests include artificial general intelligence, complex adaptive systems, and chaos science. In his spare time, Joseph is an avid model railroader and loves to BBQ.
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.
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.
Dennis Abts
Dennis is an expert in scalable vector architectures for high-performance computing. Previously at Google, he worked on topologies for energy-proportional networking, and Cray, where he was a Sr. Principal Architect on several Top500 massively-parallel supercomputers. Dennis has published over 20 technical papers in areas of memory systems, interconnection networks, and fault-tolerant systems. He holds over two dozen patents spanning 20+ years of experience at Cray and Google. Dennis holds a PhD in Computer Architecture from the University of Minnesota and is a Senior Member of IEEE and ACM Computer Society.