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  • From Domain-Specific Accelerators to Spatial Architecture Exploration

    ISEB 1310

    Title: From Domain-Specific Accelerators to Spatial Architecture Exploration Speaker: Dr. Jongeun Lee Date and Time: Thursday, July 30, 10:30am Location: ISEB 1310 Abstract: Emerging scientific and machine learning workloads increasingly benefit from domain-specific hardware accelerators, yet designing efficient architectures for these applications requires both effective implementations and scalable methods for architectural exploration. In this talk, […]

  • Software-Defined Accelerator-Centric Systems – A Journey to AI and Big Data Acceleration

    ISEB 4020 Interdisciplinary Science and Engineering Building, Irvine, CA, United States

    Title: Software-Defined Accelerator-Centric Systems - A Journey to AI and Big Data Acceleration Speaker: Dr. Zhenman Fang Date and Time: Wednesday, July 29, 11:00am Location: ISEB 4020 Abstract: With the end of CPU scaling due to dark silicon limitations, customizable hardware accelerators have gained increasing attention in modern datacenters and edge devices, due to their […]

  • The Brave New (Quantum) World

    ISEB 1310

    Title: The Brave New (Quantum) World Speaker: Dr. Anupam Chattopadhyay Date and Time: Thursday, July 23, 10:00am Location: ISEB 1310 Abstract: Major advances across all the design stack of Quantum computing – algorithm, software, and hardware – has brought us to a realm where, it is impossible to ignore the effect of Quantum computing in […]

  • Portrait of Danny Abraham

    Adaptive Sparsity for Efficient and Reliable Machine Learning Inference in Autonomous Vehicles

    DBH 4011 Donald Bren Hall, University of California, Irvine, Irvine, CA, United States

    Name: Danny Abraham Chair: Prof. Nikil Dutt Date: June 8, 2026 Time: 10:00 AM Location: DBH 4011 Committee: Prof. Fadi Kurdahi, Prof. Mohsen Imani Title: Adaptive Sparsity for Efficient and Reliable Machine Learning Inference in Autonomous Vehicles Abstract: Autonomous vehicles rely on machine learning models that must make accurate decisions under strict latency, memory, and […]

  • Securing Cyber-Physical Systems: From Sensor-Layer Attacks to Firmware Binary Analysis

    Name: Yonatan Gizachew Achamyeleh Chair: Mohammad Al Faruque Member: Zhou Li Member: Yasser Shoukry Date: 05/18/2026 Time: 01:00 PM PT Location: ISEB 1010 Title: Securing Cyber-Physical Systems: From Sensor-Layer Attacks to Firmware Binary Analysis Abstract: This dissertation advances security across the full stack of cyber-physical systems, from the physical sensor layer to the firmware binary layer. Four contributions demonstrate […]

  • A Pareto-Optimal Compiler for Mapping Task Graphs to Truly Scalable Grids of Processing Cells

    EH 3206 Engineering Hall University of California, Irve, Irvine, CA, United States

    Name: Yutong Wang Chair: Prof. Rainer Doemer Date: March 2, 2026 Time: 1:00 PM Location: EH 3206 Committee: Prof. Brian Demsky, Prof. Zhou Li Title: A Pareto-Optimal Compiler for Mapping Task Graphs to Truly Scalable Grids of Processing Cells Abstract: Programming scalable system-on-chip architectures composed of processor arrays remains challenging due to the complexity of […]

  • GOAL: An Industrially Validated Global Optimization Framework for Advanced Macro Placement in Semiconductor Design

    EH 2430 Engineering Hall, University of California, Irvine, Irvine, CA, United States

    DATE/TIME: Friday, February 13, 10:30am
    SPEAKER: Jooyoung Lee
    This talk presents a solution to build on a dedicated combinatorial-optimization engine that directly models the search space rather than relying on proxy rewards, advancing AI that can reliably solve the hardest optimization problems in semiconductor design and beyond.

  • Autonomy on a Budget: Enabling Intelligent Monitoring Through Low-Cost Embedded Systems

    EH 2430 Engineering Hall, University of California, Irvine, Irvine, CA, United States

    DATE/TIME: Tuesday, November 4, 2:00pm
    SPEAKER: Dr. Prabha Sundaravadivel
    This talk presents recent advances in low-cost embedded autonomy, where edge AI, sensor fusion, and adaptive control enable real-time decision-making within compact, power-efficient platforms.

  • Unleashing Multi-GPU Computing to the Next-Level

    EH 2430 Engineering Hall, University of California, Irvine, Irvine, CA, United States

    DATE/TIME: Wednesday, October 15, 2:00pm
    SPEAKER: Dr. Xulong Tang
    I will discuss novel techniques such as lightweight invalidations for page translation, short-circuiting page table walks, and multi-instance GPU (MIG) reconfiguration strategies that collectively deliver substantial performance and efficiency gains to overcome these bottlenecks and unleash the full potential of multi-GPU computing.

  • Fadi Kurdahi Honored at WAAAUB Orange County Chapter Annual Dinner

    On September 27, 2025, the Worldwide Alumni Association of American University of Beirut (WAAAUB) Orange County Chapter hosted a memorable dinner to honor CECS director Professor Fadi Kurdahi with the WAAAUB Orange County Chapter Lifetime Achievement Award. The event recognized Prof. Kurdahi's remarkable contributions to education and mentorship since he received his Bachelor of Engineering […]

  • Kurdahi Promoted to Distinguished Professor

    Prof. Fadi Kurdahi was promoted to Distinguished Professor with joint appointment under the Department of Electrical Engineering and Computer Science and Donald Bren School of Information and Computer Science. A Distinguished Professor is the university’s highest academic title and a reflection of outstanding leadership, deep commitment to education, and lasting impact in the field. Congratulations, […]

  • Alshammari Won Best Demo at USENIX Security Symposium

    At the 3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec ‘25), PhD student Fayzah Alshammari presented “CPExploiter: from Cyber to Physical: Understanding the End-to-End Physical Attack Capability of Cyber-Attacks on Robotic Vehicles.” Alshammari’s paper expresses that previous research focuses on vulnerability discovery without understanding the end-to-end impact of robotic vehicle cyber-attacks. Her demo uses […]