Dev Bhattacharya, is currently a chair of Consumer Electronics Society of IEEE section of Santa Clara Valley. He has over 20 years of experience in leading the system, hardware and firmware development of complex IoTs and embedded systems based on various sensors and devices.
Dev has a master’s degree of Science in computer and systems engineering from Rensselaer Polytechnic Institute and has successfully led and managed development of system architecture, system hardware, firmware of consumer grade and complex embedded system products with sensors, networking, wireless and multi-media from concept to volume production at various companies including Cisco, Intel, Logitech, Moog Crossbow and Rockwell Collins.
Utkarsh Contractor - Technical Director - Machine Learning and AI
Avid Farhoodfar, PhD, is currently a Faculty in the Computer Science Department at Sofia University at Palo Alto, California. Formerly an Assistant chair in the Engineering Management Department, as well as Faculty in the Electrical and Computer Engineering Department at the International Technological University (ITU) in San Jose.
For her doctorate in Condensed Matter Physics and Material Sciences at Queen’s University, Dr. Farhoodfar modeled matter in quantum size, developing a modeling system using Quantum Monte Carlo approximation and Sherman Morrison optimization techniques.
Andra Keay - Cofounder of RoboGarden, Founder of Robot Launchpad
Andra Keay is the Managing Director of Silicon Valley Robotics, the non-profit industry group supporting innovation and commercialization of robotics technologies. Andra is also founder of the Robot Launch global startup competition, Robot Garden makerspace, Women in Robotics and is a mentor, investor and advisor to startups, accelerators and think tanks, with a strong interest in commercializing socially positive robotics and AI.
Andrew Pike - Buoy Labs
Andrew Pike is a Senior Data Scientist at Buoy Labs, a Santa Cruz-based startup that has developed the Buoy smart water meter. Buoy measures the amount of water flowing into a household and uses machine learning to categorize water usage and detect leaks. Previously, he spent the better part of a decade as a Hydrologist with NOAA Fisheries (and UCSC) where he developed computer models to better manage California's freshwater resources. Andrew holds a PhD in Earth and Environmental Science from the University of Pennsylvania.
Jack Schomer - Made In Space
Jack Schomer is a Mechanical Engineer working at Made In Space, Inc., a space based-manufacturing company. MIS seeks to improve mission reliability and capability by offering an alternative to traditional design-for-launch hardware, while taking advantage of the unique properties of the microgravity environment. Jack serves as the lead engineer on generative design at MIS, leveraging robust physical models with rapid design methodologies for structural optimization. Jack obtained his MS in mechanical engineering at the Ohio State University, working in the Smart Materials and Structures Laboratory.
John Ray Thomas
JT has been programming since age 12 and learned electronics in the Air Force. At UCSC, he studied Computer Science and worked for the local software legend, Borland. Since Borland, JT has worked with several Silicon Valley companies in servers, mobile, application development, and cloud. He is currently a Director of Product Management at Oracle Corporation and Founder/CEO of el Barrio Interactive, a game development company.
Saket Vora is a hardware engineer that has spent a decade designing & shipping premium consumer products. At Apple, he worked on iPods, iPhone, and the first Apple Watch before joining the founding team at Pearl Automation, a vehicle technology startup in Scotts Valley. After Pearl, he led the hardware engineering team at Noon Home, a start home startup in the lighting space. Saket has a BSEE from NC State University and a MSEE from Stanford University, and lives in Santa Cruz.
Wei Wu and Alan Deng
In this talk, we will give an introduction to Natural Language Processing (NLP), the umbrella term for analysis, processing, and modeling methods involving natural language data. We will take a look at the history of this field, delve into the challenges involved, showcase some techniques used in current applications (with a live demo!), and end with some future directions.