• 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 […]

  • Full-Stack Resource Management for Predictable and Scalable Autonomous Vehicle Pipelines

    DBH 3011 Donald Bren Hall University of California, Irve, Irvine, CA, United States

    Name: Dongjoo Seo Chair: Prof. Nikil Dutt Date: June 10, 2025 Time: 9:00 AM Location: DBH 3011 Committee: Prof. Tony Givargis, Prof. Sang-Woo Jun Title: Full-Stack Resource Management for Predictable and Scalable Autonomous Vehicle Pipelines Abstract: Autonomous vehicles (AVs) rely on tightly coupled perception, planning, and control pipelines that demand both high throughput and deterministic […]

  • In-Memory Computing to Accelerate Machine Learning

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

    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.

  • Modeling and Evaluation of a Cache-less Grid of Processing Cells

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

    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 and Evaluation of a Cache-less Grid of Processing Cells Abstract: Modern processors experience memory contention when the speed of their computational units exceeds the rate […]

  • Navigating Cybersecurity in the AI Era: Strategies and Defense Mechanisms

    Zoom

    Name: Jiacen Xu Chair: Prof. Zhou Li Date: February 24, 2025 Time:  10:00 AM Location: Zoom Committee: Prof. Mohammad Al Faruque, Prof. Yanning Shen Title: Navigating Cybersecurity in the AI Era: Strategies and Defense Mechanisms Abstract: The rise of AI has dramatically reshaped the cybersecurity landscape, introducing both advanced cyber threats and innovative defense mechanisms. […]

  • Hardware/Software Co-design Methodologies for Efficient AI Systems and Applications

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

    Name: Mohanad Odema Chair: Prof. Mohammad Abdullah Al Faruque Date: August 9, 2024 Time:  2:30 PM Location: EH 2430 Committee: Prof. Marco Levorato, Prof. Hyouk Jun Kwon Title: Hardware/Software Co-design Methodologies for Efficient AI Systems and Applications Abstract: The landscape of AI research is dominated by the search for powerful deep learning models and architectures […]

  • Object-Oriented Visual Localization in Urban Mobile-Edge Environments

    Zoom

    Name: Bo Tsai Chair: Prof. Kwei-Jay Lin Date: June 6, 2024 Time:  8:30 AM Location: Virtual/Zoom Committee: Prof. Rainer Doemer, Prof. Yasser Shoukry Title: Object-Oriented Visual Localization in Urban Mobile-Edge Environments Abstract: The advent of the Internet of Things (IoT) and the progress in robotic technology have brought a new era where intelligent services significantly […]

  • Advanced Machine Learning and AI Techniques for Enhancing Wearable Health Monitoring Systems

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

    Name: Amir Hosein Afandizadeh Zargari Chair: Prof. Fadi Kurdahi Date: June 5, 2024 Time:  11 AM Location: EH 3206 Committee: Prof. Peter Tseng, Prof. Amir Rahmani Title: Advanced Machine Learning and AI Techniques for Enhancing Wearable Health Monitoring Systems Abstract: This research advances wearable technology for real-time health monitoring using advanced machine learning (ML) and […]

  • Multi-Sensor Data Fusion and Machine Learning for Adaptive Autonomous Systems

    ISEB 1200 Interdisciplinary Science and Engineering Building University of California, Irve, Irvine, CA, United States

    Name: Trier Mortlock Chair: Prof. Mohammad Al Faruque Date: May 31, 2024 Time:  2 PM Location: ISEB 1200 Committee: Prof. Faryar Jabbari, Prof. Pramod Khargonekar Title: Multi-Sensor Data Fusion and Machine Learning for Adaptive Autonomous Systems Abstract: Autonomous systems rely on sensors to collect data about their surrounding environments to influence their decision-making algorithms.  Sensor […]

  • Differential Privacy for Non-standard Settings

    EH 5204

    Name: Joann Chen Chair: Prof. Zhou Li Date: May 28, 2024 Time:  11:00 AM Location: EH 5204 Committee: Prof. Yanning Shen, Prof. Gene Tsudik Title: Differential Privacy for Non-standard Settings Abstract: In today's technologically driven world, personal data stands at a crucial juncture, representing both immense potential and significant peril. Such potential, when leveraged properly, can […]