Events
Past Event
FoundHer Stories | A Fireside Chat with Nishita Deka
Innovation and New Ventures Office
1:00 PM
Details
Northwestern University's Querrey InQbation Lab is hosting the FoundHer Stories series to amplify the startup stories of women scientist entrepreneurs.
Learn about Dr. Nishita Deka’s experience spinning out Sonera in 2018 while pursuing her doctorate at UC Berkeley. Dr. Deka will share how her company is building high-performance biomagnetic sensors for detecting muscle and brain activity, with the goal of building commercially viable non-invasive brain-computer interfaces.
While the FoundHer Stories series is focused on supporting women innovators and entrepreneurs, all are welcome to register.
Please register in advance.
OUR SPEAKER
Nishita Deka, Ph.D., is the co-founder and CEO of Sonera. She co-founded Sonera to commercialize a novel magnetic sensing technology for human-computer interfaces, with applications ranging from next-generation interaction modalities for personal computing to advanced healthcare monitoring and diagnostic tools. Nishita earned a Ph.D. in electrical engineering and computer sciences at the University of California, Berkeley. She has a B.S. in electrical engineering from the University of Southern California. At Berkeley, she focused on the design and fabrication of nanoscale devices for MEMS and sensing applications.
https://northwestern.zoom.us/j/98353333202
Time
Friday, August 9, 2024 at 1:00 PM - 2:00 PM
Contact
Calendar
Innovation and New Ventures Office
"Fun with Fashion" - Larry Davis
Northwestern Network for Collaborative Intelligence (NNCI)
12:00 PM
Details
Join us for an in-person Distinguished Speaker event featuring Larry Davis, a leading figure in computer vision and artificial intelligence whose influential academic career and recent industry innovations at Amazon have helped shape modern approaches to visual understanding and generative media.
Title: "Fun with Fashion"
Abstract: More than 100,000,000 customers shop for clothing online at Amazon annually in the United States alone. The fashion catalogue is enormous and changes with high velocity as new styles are introduced and older items either go out of fashion or out of stock. Customers are challenged to find clothing that fits their style and their bodies at a price that fits their budgets. The Amazon Fashion science team addresses these challenges through the design and development of new machine learning and computer vision models that help customers navigate the catalog and efficiently evaluate items Amazon is recommending to them. The talk will discuss solutions the team has developed to problems including virtual try on (what will this garment look like on me?), complementary recommendations (how do I style this garment?) and size recommendations (what size, if any, of this garment will fit me?), emphasizing the challenges introduced by the need to have scalable solutions.
Lunch will be provided. Registration is required.
Larry Davis is a Senior Principal Scientist in Amazon’s Fashion and Fitness organization. He joined Amazon in 2018 after a long career in academics. At Amazon he worked on introducing novel customer experiences for fashion shopping like outfit builder (based on complementary recommendations) and virtual try on. He led Amazon’s first GenAI team for image and video synthesis, developing models to diversify the catalogue to make it more relatable for our customers. . He received his Ph. D. from the University of Maryland in 1975 and from 1977-1981 was an Assistant Professor of Computer Science at the University of Texas in Austin. He returned to the University of Maryland in 1981 and was the founding Director of the University’s Institute for Advanced Computer Studies (1985-1994). He also served as Chair of the Department of Computer Science from 2000-2012. Larry retired from the University in 2021 and is now a Professor Emeritus and a College Park Professor. He advised more than 75 Ph. D. students at Texas and Maryland. His work spanned many aspects of computer vision, including applications in visual navigation, robotic vision, media forensics, remote sensing,fashion and fundamental problems of object detection and activity recognition. He is a Fellow of both the IEEE and the ACM.
Time
Tuesday, May 12, 2026 at 12:00 PM - 1:30 PM
Location
Calendar
Northwestern Network for Collaborative Intelligence (NNCI)