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X-ORIGINAL-URL:https://www.cecs.uci.edu
X-WR-CALDESC:Events for CECS
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250601
DTEND;VALUE=DATE:20250602
DTSTAMP:20251113T233115Z
CREATED:20251113T233115Z
LAST-MODIFIED:20251113T233115Z
UID:16626-1748736000-1748822399@www.cecs.uci.edu
SUMMARY:Dang to Travel to Vietnam as Fulbright Scholar
DESCRIPTION: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 (VNU-UET). Prof. Dang is one of the four UCI faculties to become a US Fulbright Scholar for the 2025-26 school year. AT VNU-UET\, Prof. Dang will work with administrators\, teach courses in system software or embedded systems\, and conduct joint research projects. \n 
URL:https://www.cecs.uci.edu/event/dang-to-travel-to-vietnam-as-fulbright-scholar/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250601
DTEND;VALUE=DATE:20250602
DTSTAMP:20251113T233328Z
CREATED:20251113T233328Z
LAST-MODIFIED:20251113T233328Z
UID:16635-1748736000-1748822399@www.cecs.uci.edu
SUMMARY:Xu Joins DAC25 Young Fellow Program
DESCRIPTION: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 Young Fellow. Along with sponsored conference registration\, the Young Fellow Program provided Jinyao with a travel grant and exclusive sessions for poster presentation\, special program\, and labs. \n 
URL:https://www.cecs.uci.edu/event/xu-joins-dac25-young-fellow-program/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250601
DTEND;VALUE=DATE:20250602
DTSTAMP:20251113T233408Z
CREATED:20251113T233408Z
LAST-MODIFIED:20251113T233408Z
UID:16639-1748736000-1748822399@www.cecs.uci.edu
SUMMARY:Gajski Ranked Top Scholar
DESCRIPTION: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 VLSD\, CAD tools\, and system level design methodology. In 2010\, Prof. Gajski received the European Design and Automation Association Lifetime Achievement Award\, recognizing his outstanding contributions to the state of the art in electronics design and automation. In 2024\, Prof. Gajski was ranked top 0.5% of all scholars worldwide and top 20 scholar in the area of systems design.
URL:https://www.cecs.uci.edu/event/gajski-ranked-top-scholar/
LOCATION:CA
CATEGORIES:Awards
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250606
DTEND;VALUE=DATE:20250607
DTSTAMP:20251113T233254Z
CREATED:20251113T233254Z
LAST-MODIFIED:20251113T233254Z
UID:16630-1749168000-1749254399@www.cecs.uci.edu
SUMMARY:Kurdahi Receives Engineering Faculty Service Award
DESCRIPTION: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 Embedded & Cyber-Physical Systems (MECPS) program\, Prof. Kurdahi made outstanding service contributions to the department of school and to advance our mission of education\, research\, and outreach. Prof. Kurdahi also partake in many activities aimed at promoting participation and opportunity from under-represented minorities in IoT. \n 
URL:https://www.cecs.uci.edu/event/kurdahi-receives-engineering-faculty-service-award/
LOCATION:CA
CATEGORIES:Awards
ATTACH;FMTTYPE=image/png:https://cecs.uci.edu/files/2025/11/kurdahi.png
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250609T110000
DTEND;TZID=America/Los_Angeles:20250609T120000
DTSTAMP:20261027T171544Z
CREATED:20250522T200123Z
LAST-MODIFIED:20261027T171544Z
UID:16475-1749466800-1749470400@www.cecs.uci.edu
SUMMARY:Confidential Computing and Trusted Execution Environment: Challenges\, Opportunities\, and the Future
DESCRIPTION:Title: Confidential Computing and Trusted Execution Environment: Challenges\, Opportunities\, and the Future \nSpeaker:  Mengyuan Li \nDate and Time: Monday\, June 9\, 11:00am \nLocation: EH 2430 \nAbstract: \nConfidential Computing\, or Trusted Execution Environment (TEE)\, represents a cutting-edge design in server-grade CPUs. This technology acts as a protective shield for cloud tasks\, safeguarding the confidentiality and integrity of cloud workloads against a range of threats\, including attacks from privileged software\, physical attackers\, and untrustworthy hypervisors. As the demand for secure private data handling continues to rise\, the adoption of Confidential Computing has become widespread across various industries. Evidence of this includes the adoption of TEE in server-grade CPUs from major vendors like Intel\, AMD\, and ARM. Furthermore\, leading cloud service providers\, such as AWS\, Google Cloud\, Microsoft Azure\, and IBM Cloud\, now offer commercial Confidential Computing services. In this talk\, I will outline my contributions to the study of complex\, heterogeneous Confidential Computing systems. I will share my insights into two real-world vulnerabilities we uncovered within commercial Confidential Computing systems\, along with our joint efforts with CPU manufacturers to address these issues in the latest server-grade CPUs. At the hardware design level\, I will discuss a novel ciphertext side-channel attack targeting hardware-accelerated memory encryption\, which is a crucial hardware feature to protect the memory of cloud workloads. Moving to the software system design level\, I will illustrate how inadequately designed TEE operating systems can pose a threat to the security of Confidential VMs. Finally\, I will outline my ongoing efforts and future directions in enhancing the security and effectiveness of Confidential Computing and my research vision towards building secure and performant hardware systems. \nBiography: \nDr. Mengyuan Li is an Assistant Professor of Computer Science at the University of Southern California (with a courtesy appointment in the ECE department) . Before joining USC\, he was a postdoctoral researcher at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL). He holds a Ph.D. from Ohio State University and a bachelor’s degree from Shanghai Jiao Tong University. His research vision is to contribute to the creation of a secure and trustworthy computing environment where private data and programs are well protected. In pursuit of this vision\, his research interests include system security and privacy\, cloud security\, Trusted Execution Environments\, confidential computing\, CPU security\, micro-architectural security\, GPU security\, and AI security. He has published over 20 papers at leading security and privacy conferences\, including IEEE S&P\, Usenix Security\, and CCS\, and holds multiple technology patents. \nHosted By: Prof. Zhou Li \nMore Information
URL:https://www.cecs.uci.edu/event/confidential-computing-and-trusted-execution-environment-challenges-opportunities-and-the-future/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2025/05/Mengyuan_pic-e1793121341316.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250610T090000
DTEND;TZID=America/Los_Angeles:20250610T100000
DTSTAMP:20260120T201804Z
CREATED:20260120T201633Z
LAST-MODIFIED:20260120T201804Z
UID:16676-1749546000-1749549600@www.cecs.uci.edu
SUMMARY:Full-Stack Resource Management for Predictable and Scalable Autonomous Vehicle Pipelines
DESCRIPTION:Name: Dongjoo Seo \nChair: Prof. Nikil Dutt \nDate: June 10\, 2025 \nTime: 9:00 AM \nLocation: DBH 3011 \nCommittee: Prof. Tony Givargis\, Prof. Sang-Woo Jun \nTitle: Full-Stack Resource Management for Predictable and Scalable Autonomous Vehicle Pipelines \nAbstract: Autonomous vehicles (AVs) rely on tightly coupled perception\, planning\, and control pipelines that demand both high throughput and deterministic performance from the underlying computing platform. In the first part of this dissertation\, we address unpredictable memory-induced latency by introducing two complementary strategies. ProSwap leverages periodic access patterns to proactively swap pages before they incur page‐fault penalties\, reducing end‐to‐end pipeline stalls by up to 26% over Linux’s default swapping. Building on this\, MemScape employs reinforcement‐learning driven demotion and promotion across DRAM and high‐capacity memory tiers to avoid latency spikes—trading minimal peak performance for a 3× improvement in tail‐latency stability under dynamic AV workloads. In the second part\, we tackle I/O and CPU resource management challenges that further impact AV real‐time guarantees. SPEED replaces ROS’s single‐queue architecture with a multi‐queue\, context‐aware I/O scheduler\, achieving an 84% reduction in rosbag latency and a 1.5× gain in throughput by aligning writebacks with application idle periods. To eliminate scheduling jitter\, SCHED distills an offline‐trained reinforcement learning policy into a lightweight decision tree for in‐kernel CPU dispatch\, offering up to 250× faster decision times compared to raw RL inference. Together\, these full‐stack optimizations enable scalable\, predictable\, and safe operation of AV pipelines on commodity Linux platforms. \nBio: Dongjoo Seo received his B.E. in Computer Science and Master’s in Computer Software Engineering from Kookmin University at Seoul\, Korea in 2017 and 2020\, respectively. During this Master’s\, Seo worked alongside Prof. Nikil Dutt at UCI as a visiting researcher where he built the simulator system for Fog computing and made a reinforcement learning-based agent for offloading the task. In 2021\, Seo returned to UCI under Prof. Dutt to pursue his Ph.D. in Computer Science. His research focused on specializing OS\, memory systems\, and CLX. Now\, Seo is a software engineer at Samsung Semiconductor\, building reliable next-generation computing platforms for machine learning.
URL:https://www.cecs.uci.edu/event/full-stack-resource-management-for-predictable-and-scalable-autonomous-vehicle-pipelines/
LOCATION:DBH 3011\, Donald Bren Hall University of California\, Irve\, Irvine\, CA\, 92617\, United States
CATEGORIES:PhD Defenses
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2026/01/Dongjoo_Seo-1.jpg
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