949-824-9127

“Efficient Processing when Intelligence Moves to the Edge”

Name: Tinoosh Mohsenin Date and Time: Friday, July 20 at 10:00 a.m. - 11:00 a.m. Location: Donald Bren Hall 4011 Abstract:  Continuous collection and processing of vast amounts of data is becoming more common with the advancement of wearable sensors, Internet of Things (IoT) devices and cyber physical systems. Despite their potential significant impact, intelligent mobile technologies […]

“SAT-based Design Debugging and Its Application to Undergraduate Circuit Experiment”

Name: Takeshi Matsumoto Date and Time: Friday, September 7 at 11:00 a.m. - 12:00 p.m. Location: Donald Bren Hall 3011 Abstract: As VLSI designs are becoming larger and more complicated, designers spend a larger amount of time for verification and debug to detect bugs in designs and avoid them. Moreover, some bugs may not be detected […]

“Security of Additive Manufacturing: New Frontiers”

Name: Mark Yampolskiy Date and Time: Friday, October 19 at 10:00 a.m. - 11:00 a.m. Location: Engineering Hall 2430 Abstract: Additive Manufacturing (AM), a.k.a. 3D printing, is a rapidly growing multibillion-dollar industry that is increasingly used to manufacture functional parts, including components of safety critical systems in the aerospace, automotive, and other industries. However, reliance on the […]

“Plasmonic Wave Computing: Concepts and Potential”

Name: Francky Catthoor Date and Time: Wednesday, October 31 at 11:00 a.m. - 12:00 p.m. Location: Engineering Hall 2430 Abstract:  Several beyond CMOS computing directions are being explored given that the CMOS […]

Accelerated Computing for Edge-Centric IoT

Name: Tulika Mitra Date and Time: Monday, November 5 at 2:00 p.m. - 3:00 p.m. Location: Donald Bren Hall 3011 Abstract: Internet of Things (IoT), an ever-growing network of billions of devices […]

“Answering Multi-Dimensional Analytical Queries under Local Differential Privacy”

Name: Tianhao Wang Date and Time: Thursday, February 27, 2020 Location: Engineering Hall 2430 Abstract: When collecting information, local differential privacy (LDP) relieves users' privacy concerns, as it adds noise to users' private information.  The LDP technique has been deployed by Google, Apple, and Microsoft for data collection and monitoring.  In this talk, I will share […]

“Beyond Approximate Computing: Quality-Scalability for Low-Power Embedded Systems and Machine Learning”

Speaker: Younghyun Kim Date and Time: Tuesday, May 17, 2022 at 2:00 p.m. Location: Zoom https://uci.zoom.us/j/98632011722 Abstract: Approximate computing is a new paradigm to accomplish energy-efficient computing in this twilight of Moore’s law by relaxing the exactness requirement of computation results for intrinsically error-resilient applications, such as deep learning and signal processing, and producing results that are “just […]