Seminars at CECS

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, […]

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 […]

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 […]

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 for sustainability, and governments are pushing hard to expedite electric vehicle penetration. As a result, it is not surprising to see a large proportion of […]

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 portions of the U.S. critical infrastructure (e.g., power grid, pipelines, and water management). These systems are known to be vulnerable to cyberattacks, as demonstrated in […]

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.

DATE/TIME: Thursday, April 25th, 10:00am
SPEAKER: Prof. Ganapati Bhat, Washington State University
Wearable internet of things (IoT) devices are the next big evolution in computing systems. Wearable sensors and IoT devices, along with smart home technologies, have the potential to transform healthcare by enabling cost-effective, reliable, continuous, and data-driven monitoring of users in a free-living environment. Despite the impressive potential of wearable technology, widespread adoption of wearable devices has been limited due to several technology and adaptation challenges.

DATE/TIME: Wednesday, May 1st, 11:00am
SPEAKER: Prof. Yun Eric Liang, Peking University
As Moore’s law is approaching to the end, designing specialized hardware accelerator along with the software that map the applications onto the specialized hardware is a promising solution. However, the hardware is very difficult to design and optimize due to the low-level programming and huge design space.

DATE/TIME: Thursday, May 23rd, 10:00am
SPEAKER: Prof. Michail (Mihalis) Maniatakos, NYU Abu Dhabi
In this seminar, we will shed light to the security landscape of modern ICS, dissecting firmware from the dominant vendors and motivating the need of employing appropriate vulnerability assessment tools.

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.

Title: In Vitro Biological Neural Networks Speaker: Prof. Lawrence Rauchwerger Date and Time: Friday, October 18th, 2:00pm Location: EH 2430 Abstract: A computing stack powered by living neurons could unlock self-organizing and dynamically rewiring systems with extreme connectivity and parallel processing power, all while running on sugar with unprecedented energy efficiency. In this presentation we […]