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 […]
University of Florida’s (UF) Department of Electrical and Computer Engineering has inducted Professor and Vice Chancellor for Research Pramod Khargonekar into their Hall of Fame. As an alumnus of UF, Prof. Khargonekar demonstrated institutional leadership, a long-term commitment to UF’s engineering program, and impactful research and inventions in the field of electrical or computer engineering. […]
Name: Trier Mortlock Chair: Prof. Mohammad Al Faruque Date: May 31, 2024 Time: 2 PM Location: ISEB 1200 Committee: Prof. Faryar Jabbari, Prof. Pramod Khargonekar Title: Multi-Sensor Data Fusion and Machine Learning for Adaptive Autonomous Systems Abstract: Autonomous systems rely on sensors to collect data about their surrounding environments to influence their decision-making algorithms. Sensor […]
Name: Joann Chen Chair: Prof. Zhou Li Date: May 28, 2024 Time: 11:00 AM Location: EH 5204 Committee: Prof. Yanning Shen, Prof. Gene Tsudik Title: Differential Privacy for Non-standard Settings Abstract: In today's technologically driven world, personal data stands at a crucial juncture, representing both immense potential and significant peril. Such potential, when leveraged properly, can […]
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.
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: 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.