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 Scaling, Moore’s Law, EDA. They are our own highly specialized areas of expertise, and it often feels like our discipline is quite different from other […]
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.
On Friday December 9, 2023, MECPS hosted the annual end-of-year symposium to showcase the capstone projects of the MECPS graduating students as well as projects from the first year cohort. This year, three teams tied for second and one team won first place for the Best Project Award. First Place Winner: Brain Padilla, Gabriel Rizko, […]
Event: MECPS Symposium 2023 Date: Friday, December 8, 2022 Time: 9:00am – 1:30pm Location: Interdisciplinary Science and Engineering Building (ISEB) View Details
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 of modern communication. The recent deployment of the 5G has generated further enthusiasm and opportunities in both academia and industry, because of its promise of […]
The Office of Naval Research (ONR) awarded Assistant Professor Mohsen Imani with the Young Investigator Award. Prof. Imani, who also was also honored with Defense Advanced Research Projects Agency’s Young Faculty Award, is a pioneer in research on hyper-dimensional computing as a neuro-symbolic AI technique. Him and his lab investigate the intersection of neuroscience, AI, […]
Prof. Yasser Shoukry and team were awarded $2 million over four years by the Smart and Connected Communities and the National Science Foundation for their project “Community-Driven Design of Fair Urban Air Mobility Transportation Management Systems.” Prof. Shoukry and team will investigate and design durable Urban Air Mobility (UAM) infrastructures to help traffic congestion that […]
Prof. Sang-Woo Jun explores the possibility of improving system efficient without sacrificing performance in his co-authored paper “GraFBoost: Using Accelerated Flash Storage for External Graph Analytics.” His paper from five years ago explained that using a solid-state drive instead of dynamic RAM for I/O intensive graph analytics can cut cost and power usage by four […]
Prof. Mohammad Al Faruque received $378K in award over three years for his project “Adaptive and Efficient Perception for Autonomous Ground Vehicle Operating in Highly Stochastic Environments under Sensing Uncertainties”. With the funding from the U.S. Army Automotive Research Center, Prof. Al Faruque and his team will study the computational constraints and sensor fusion methods […]
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 […]
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 Artificial Intelligence is going through a new development stage from Computation AI, Perception AI, to Cognition AI, with the new trends of big data, multi-modality, […]
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!