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Fairness-Aware learning over Graphs

EH 2430 Engineering Hall, University of California, Irvine, Irvine, CA, United States

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.

Towards Self-Sustainable Wearable IoT Devices for Reliable Mobile Health Applications

EH 2430 Engineering Hall, University of California, Irvine, Irvine, CA, United States

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.

Agile Hardware Specialization

ISEB 4020 Interdisciplinary Science and Engineering Building, Irvine, CA, United States

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.

Dissecting the Software Supply Chain of Modern Industrial Control Systems

Zoom

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.

Deep Latent Variable Modeling of Physiological Signals

Zoom

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.

Differential Privacy for Non-standard Settings

EH 5204

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 […]

Multi-Sensor Data Fusion and Machine Learning for Adaptive Autonomous Systems

ISEB 1200 Interdisciplinary Science and Engineering Building University of California, Irve, Irvine, CA, United States

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 […]

Advanced Machine Learning and AI Techniques for Enhancing Wearable Health Monitoring Systems

EH 3206 Engineering Hall University of California, Irve, Irvine, CA, United States

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 […]

Object-Oriented Visual Localization in Urban Mobile-Edge Environments

Zoom

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 […]

Hardware/Software Co-design Methodologies for Efficient AI Systems and Applications

EH 2430 Engineering Hall, University of California, Irvine, Irvine, CA, United States

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 […]

Storage-Centric Computing for Genomics and Metagenomics

DBH 4011 Donald Bren Hall, University of California, Irvine, Irvine, CA, United States

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.

In Vitro Biological Neural Networks

EH 2430 Engineering Hall, University of California, Irvine, Irvine, CA, United States

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 […]