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.
Assistant Professor Marco Levorato won Beall Applied Innovation Center’s 2023 UCI Early Career/Emerging Innovator of Year Award. The award recognizes Prof. Levorato’s efforts to “drive innovative research into socially and commercially important applications.” Prof. Levorato’s research focuses on balancing data transfer security and cost for mobile AI applications. Along with the Beall Applied Innovation Center, […]
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: 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.
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.
At the Network and Distributed System Security Symposium (NDSS ‘24), PhD student Fayzah Alshammari received Best Technical Poster Award for paper “On the Cyber-Physical Security of Commercial Indoor Delivery Robot Systems.” Alshammari’s research aimed to improve security through analysis on systems in real-world commercial settings. Alshammari is under the advisory of Professor Alfred Chen.
A groundbreaking project by Professor Jeff Krichmar and the Neurorobotics Lab explored methods to bring primary consciousness into machines using Gerald Edelman’s Extended Theory of Neuronal Group Selection. Following the theory, which suggests that consciousness emerges through interactions among neuronal groups, similar to the process of natural selection, Prof. Krichmar and team aimed to mimic […]
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.