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  • khuong an vo

    Deep Latent Variable Modeling of Physiological Signals

    Zoom

    DATE/TIME: Friday, May 24th, 9:30 am
    SPEAKER: PhD Candidate Khuong An Vo
    A deep latent variable model is a powerful tool for modeling complex distributions. These models assume that underlying structures, but unobserved, are present within the data. In this dissertation, we explore high-dimensional problems related to physiological monitoring using latent variable models.

  • Towards Finding the Optimization Potential of Fine-Grained Locks

    ISEB 1010 Interdisciplinary Science and Engineering Building, University of California, Irvie, CA, United States

    Name:  Ahmad Nahian Chair: Professor Brian Demsky Date: November 30, 2023 Time:  9:30 AM Location: ISEB 1010 Committee: Professor Rainer Doemer, Professor Quoc-Viet Dang Title: Towards Finding the Optimization Potential of Fine-Grained Locks Abstract: Fine-grained locking is an effective way of eliminating lock contention in multi-threaded applications. However, it is comparatively difficult and error prone […]

  • Self-aware Memory Management for Emerging Energy-Efficient Architectures

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

    Name: Biswadip (Deep) MaityChair: Nikil Dutt Date: July 6, 2023 Time: 9:00 AM Location: DBH 3011 Committee: Fadi Kurdahi, Nalini Venkatasubramanian Title: Self-aware Memory Management for Emerging Energy-Efficient Architectures Abstract: The ever-increasing demands of data-intensive applications have presented significant challenges in memory performance and energy efficiency. Traditional approaches to memory management, relying on workload-specific optimizations […]

  • Integrating Machine Learning for Enhanced Cross-Layer Security and Reliability in Hardware and Cyber-Physical Systems

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

    Name: Rozhin Yasaei Chair: Mohammad Al Faruque Date: May 24, 2023 Time: 3:00 PM Location: EH 2430-Harut Barsamian Committee: Fadi Kurdahi, Zhou Li Title: Integrating Machine Learning for Enhanced Cross-Layer Security and Reliability in Hardware and Cyber-Physical Systems Abstract: This Ph.D. thesis presents a comprehensive investigation into addressing security and reliability challenges in hardware design […]

  • Reasoning About Emergent Behaviors at Runtime

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

    Name: Caio Batista de Melo Chair: Nikil Dutt Date: May 23, 2023 Time: 2:00 PM Location: DBH 4011 Committee: Fadi Kurdahi, Tony Givargis Title: Reasoning About Emergent Behaviors at Runtime Abstract: As Autonomous Vehicles (AVs) become more common in the market, the development of new technologies and solutions for them advances quickly. However, there still […]

  • Graph Learning for Robust Embedded and Cyber-Physical Systems

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

    Name: Shih-Yuan Yu Chair: Mohammad Al Faruque Date: May 22, 2023 Time: 9:00 AM - 11:00 AM Location: EH 2430 Committee: Pramod Khargonekar, Yanning Shen Title: Graph Learning for Robust Embedded and Cyber-Physical Systems Abstract: Since the appearance of microprocessors, miscellaneous categories of computer systems, including Embedded and Cyber-Physical Systems (ECPS), have become an integral […]

  • Context-Aware and Energy-Efficient Autonomous Systems

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

    Name: Arnav Malawade Chair: Mohammad Al Faruque Date: May 5, 2023 Time: 3:30 PM Location: ISEB 1200 Committee: Marco Levorato, Yasser Shoukry Title:  Context-Aware and Energy-Efficient Autonomous Systems Abstract: Autonomous systems (AS) are beginning to play a more significant role in modern society. AS include robotic systems that perceive and react to changes in their environment, such as […]

  • Cross-Layer Attacks and Defenses in the Cyber-Physical System (CPS)

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

    Name: Anomadarshi Barua Chair: Mohammad Abdullah Al Faruque Date: May 1, 2023 Time: 12 PM - 2 PM Location: EH 2430-Harut Barsamian Committee: Pramod P Khargonekar, Zhou Li Title: Cross-Layer Attacks and Defenses in the Cyber-Physical System (CPS) Abstract: Have you ever wondered how simple music can leak deadly pathogens from a bio-safety lab? Have you ever […]

  • Online Learning for Orchestrating Deep Learning Inference at Edge

    DBH 2011 Donald Bren Hall University of California, Irve, Irvine, CA, United States

    Name: Sina ShahhosseiniChair: Nikil Dutt Date: February 22, 2023 Time: 10:30 AM Location: 2011 DBH Committee: Amir Rahmani, Fadi Kurdahi Title:  Online Learning for Orchestrating Deep Learning Inference at Edge Abstract:  Deep-learning-based intelligent services have become prevalent in cyber-physical applications including smart cities and health-care. Resource-constrained end-devices must be carefully managed in order to meet the […]

  • An End-to-End Platform for Multi-Modal Machine Learning Affective Computing Services

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

    Name: Emad Kasaeyan NaeiniChair: Nikil Dutt Date: August 17, 2022 Time: 10:30 AM Location: DBH 3011 Committee: Amir Rahmani, Fadi Kurdahi Title:  An End-to-End Platform for Multi-Modal Machine Learning Affective Computing Services Abstract: Smart affective computing applications deliberately influence pain, emotion and other affective phenomena, and are fundamental to human experience, health and well-being. Affective states […]

  • Transaction-Level Modeling of Deep Neural Networks for Efficient Parallelism and Memory Accuracy

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

    Name: Emad Arasteh Chair: Prof. Rainer Doemer Date: July 7, 2022 Time: 10:00 am Location: EH 3206 Committee: Prof. Fadi Kurdahi, Prof. Ian Harris Title: Transaction-Level Modeling of Deep Neural Networks for Efficient Parallelism and Memory Accuracy Abstract:  The emergence of data-intensive applications, such as Deep Neural Networks (DNNs), exacerbates the well-known memory bottleneck in […]

  • Internet of Things-Based Collaborative Position-Sensing Systems for Cardiopulmonary Resuscitation and Indoor Localization

    Name: Chen, Hsin-Chung "Andrew"Chair: Pai Chou Date:  Wednesday, March 16, 2022 Time: 9:00 am Location:  https://uci.zoom.us/j/93264053012 Committee: Nader Bagherzadeh, Rainer Doemer Title: Internet of Things-Based Collaborative Position-Sensing Systems for Cardiopulmonary Resuscitation and Indoor Localization Abstract: The ubiquitous IoT devices have promoted the growth of applications that require target positioning. While precise positioning remains a challenge […]