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Quoc-Viet Dang Received Excellence in Digital Learning

Assistant Professor QV Dang received Excellence in Digital Learning from UCI Division of Teaching Excellence and Innovation to recognize his demonstrated excellence in undergraduate teaching at UCI. Congrats Prof. Dang!

Sparse Computing and Large Language Model: from AI 1.0 to AI 2.0

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

Title: Sparse Computing and Large Language Model: from AI 1.0 to AI 2.0 Speaker: Prof. Guohao Dai Date and Time: Friday, November 3rd, 10:30 am Location: ISEB 4020 Abstract: General […]

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 […]

Systematic Security Analysis of Cellular Network Specifications and Implementations

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

Title: Systematic Security Analysis of Cellular Network Specifications and Implementations Speaker: Dr. Imtiaz Karim Date and Time: Thursday, December 7th, 2:30 pm Location: EH 2430 Abstract: Cellular networks are the bedrock […]

2023 MECPS Symposium

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

Event: MECPS Symposium 2023 Date: Friday, December 8, 2022 Time: 9:00am – 1:30pm Location: Interdisciplinary Science and Engineering Building (ISEB) View Details

Provably-Safe Offloading of Neural Network Controllers for Energy-Efficiency in Autonomous Driving Systems

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

DATE/TIME: Wednesday, January 23rd, 12:00pm
SPEAKER: Mohanad Odema
To mitigate the high energy demand of Neural Network (NN) based Autonomous Driving Systems (ADSs), we consider the problem of offloading NN controllers from the ADS to nearby edge-computing infrastructure, but in such a way that formal vehicle safety properties are guaranteed. In particular, we propose the EnergyShield framework, which repurposes a controller "shield" as a low-power runtime safety monitor for the ADS vehicle.

Modeling, Analysis, Simulation, and Optimization. The Bedrock of Engineering

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

Title: Modeling, Analysis, Simulation, and Optimization. The Bedrock of Engineering Speaker: Dr. Sani Nassif Date and Time: Friday, January 26th, 2:00 pm Location: EH 2430 Abstract: VLSI, Circuit Design, Technology […]

Electrification of Mobilities, the Challenges and Opportunities

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

Title: Electrification of Mobilities, the Challenges and Opportunities Speaker: Dr. Naehyuck Chang Date and Time: Tuesday, February 6th, 3:00 pm Location: EH 2430 Abstract: The electrification of mobilities is essential […]

Searching for Digital Evidence in Industrial Control Systems

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

Title: Searching for Digital Evidence in Industrial Control Systems Speaker: Prof. Irfan Ahmed Date and Time: Tuesday, February 20th, 10:30am Location: EH 2430 Abstract: Industrial control systems (ICS) control significant […]

Self-Awareness in Cyber-Physical Systems 2024

San Diego State University San Diego, CA, United States

DATE: February 22-23, 2024
LOCATION: San Diego State University (SDSU)
Inspired by biological examples, self-awareness has become a hot research topic in a variety of disciplines and its applicability has been explored in various application domains. The main purpose of this workshop is to strengthen and extend the community and to try to develop a shared and communal understanding of the main concepts underlying self-awareness with respect to CPS.

Hardware for ML and ML for Hardware

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

DATE/TIME: Monday, April 1st, 11:00am
SPEAKER: Prof. Aman Arora, Arizona State University
This talk delves into the exciting intersection of hardware design and machine learning, showcasing how these fields are mutually benefiting each other. The presentation will feature cutting-edge research projects that exemplify this dynamic.

Fairness-Aware learning over Graphs

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

DATE/TIME: Tuesday, April 2nd, 12:00pm
SPEAKER: Oyku Deniz Kose
While graph-based ML models nicely integrate the nodal data with the connectivity, they also inherit potential unfairness. Using such ML models may therefore result in inevitable unfair results in various decision- and policy-making in the related applications. While fairness and explainability have attracted increasing attention in responsible ML, they are mostly under-explored in the graph domain.