Odema Selected as ML and System Rising Stars
CECS PhD alumnus Mohanad Odema was selected as one of 38 graduate students to join the Machine Learning (ML) and Systems Rising Stars 2025 cohort. The MLCommons ML and Systems […]
CECS PhD alumnus Mohanad Odema was selected as one of 38 graduate students to join the Machine Learning (ML) and Systems Rising Stars 2025 cohort. The MLCommons ML and Systems […]
Name: Vivek Govindasamy Chair: Prof. Rainer Doemer Date: March 11, 2025 Time: 10:00 AM Location: EH 3206 (CECS Conference Room) Committee: Prof. Mohammad Al Faruque, Prof. Ian Harris Title: Modeling […]
DATE/TIME: Wednesday, March 12, 2:00pm
SPEAKER: Prof. Yu Bai, Intelligent Computing Research Lab @ CSU
This talk explores the challenges and innovations in optimizing AI efficiency, bridging algorithmic advancements and hardware design to enhance performance from inference to training.
DATE/TIME: Monday, April 21, 11:00am
SPEAKER: Yicheng Zhang, Ph.D. Candidate @ UC Riverside
To improve the performance and efficiency of modern computing systems, architects increasingly adopt heterogeneous designs that tightly integrate specialized accelerators such as GPUs and FPGAs. In this talk, I will present my research efforts to uncover and mitigate security vulnerabilities in these heterogeneous platforms.
CPS-IoT Week is the premier event on Cyber-Physical Systems and the Internet-of-Things. It brings together four top conferences, HSCC, ICCPS, SenSys, and RTAS, multiple workshops, tutorials, and competitions. This year, CECS is thrilled to host CPS-IoT Week 2025 at the UC Irvine Student Center between May 6-9, 2025!
DATE/TIME: Wednesday, May 14, 11:00am
SPEAKER: Mariam Rakka
In-memory computing (IMC) offers a promising alternative by enabling computation directly within memory arrays. This dissertation presents novel architectural and algorithmic strategies to accelerate machine learning inference using IMC.
DATE/TIME: Monday, May 19, 11:00am
SPEAKER: Shaofei Li, Ph.D. @ Peking University
In this talk, I will present our novel approach, Query Provenance Analysis (QPA), for defending against query-based black-box attacks robustly (against both non-adaptive and adaptive attacks) and efficiently (in real-time).
DATE/TIME: Monday, May 19, 11:00am
SPEAKER: Ziqi Zhang, Postdoc Researcher @ University of Illinois Urbane-Champaign
In this talk, I will introduce recent work on TEE-based LLM protection (TSLP) on the user devices: TEESlice (S&P24) and ArrowCloak (Security25 revision).
Next year, Associate Professor Quoc-Viet Dang will travel to Vietnam as a Fulbright Scholar to collaborate with Vietnam National University in Hanoi at the University of Engineering and Technology school […]
PhD student Jinyao Xu, who’s under the guidance of Professor Ian Harris, has been awarded to attend the Design Automation Conference (DAC) 2025 in San Francisco this June as its […]
CECS Founder Professor Emeritus Daniel Gajski is a leader in the areas of embedded systems, design, and specification languages. He became an IEEE fellow in 1994 for his work in […]
On June 6, CECS Director and Professor Fadi Kurdahi received the Faculty Service Award at the 2025 Spring Faculty Awards. As director of CECS and founder of our Master of […]