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 […]
CECS PhD alumnus Mohanad Odema was selected as one of 38 graduate students to join the Machine Learning (ML) and Systems Rising Stars 2025 cohort. The MLCommons ML and Systems Rising Stars is an initiative of recently graduated PhD students to foster research and career growth, enable collaborations, and discuss career opportunities among rising generations […]
Assistant Professor Mohsen Imani was recently awarded $398,000 by the Office of Naval Research for project title, “DURIP Integrating AI and Intelligent Sensing for Advanced Naval Operations.” This sponsor award will support Prof. Imani and his lab with data processing equipment during the 1-year contract period.
Assistant Professor Sitao Huang was recognized with Faculty Early Career Development (CAREER) award from the National Science Foundation (NFS). The CAREER Program supports early-career faculty with potential to serve as role models and lifelong leaders in research and education. NFS’s Division of Computing and Communication Foundation awarded Prof. Huang $650,000 for his project “CAREER: High-Level […]
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. […]
Associate Professor of Neurology An Do leads a collaboration project between UCI and USC to combine systems engineering and steam cell research to treat damaged brain regions from strokes or other neurological problems. Do and team hope to apply advanced biofabrication and steam cell to construct 3D neural networks and encourage brain repairment. For their […]
With autonomous vehicle on the rise, Assistant Professor Alfred Chen and Professor Mohammad Al Faruque have shown that these vehicles, like self-driving cars and autonomous drones, can be hijacked and tricked into dangerous driving. Prof. Chen and Prof. Al Faruque are leading a team to discover end-to-end security vulnerabilities in any cyber-physical system. Their project […]
DATE/TIME: Friday, October 18th, 2:00pm
SPEAKER: Prof. Lawrence Rauchwerger, University of Illinois Urbana-Champaign
In this presentation we outline a framework that leverages in-silico simulation to establish an engineering testbed with the ultimate goal of learning to harness neural in-vitro systems for computational purposes.
DATE/TIME: Thursday, October 17th, 3:00pm
SPEAKER: Nika Mansouri Ghiasi, ETH Zürich
The exponential growth of genomic data poses unprecedented challenges in genomics and metagenomic applications. These applications suffer from significant data movement overheads from the storage system. To fundamentally address these overheads, we make a case for storage-centric computing.
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 […]
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 […]
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 […]