"Synthetic Data Generator: Understanding Human Face & Body via Image Synthesis" Committee Members: Prof. Yun Fu (Advisor) Prof. Sarah Ostadabbas Prof. Ming Shao Abstract: The community has long enjoyed the benefits of synthesizing data, as it provides a reliable and controllable source for training machine learning models while reducing the need for data collection from […]
Title: Enabling Domain Platform Design for Streaming Applications: A Holistic Approach Committee Members: Gunar Schirner (Advisor) Prof. David Kaeli Prof. Hamed Tabkhi (UNCC) Time: 10:00:00 AM Location: ISEC 601 Abstract: In recent years, more demanding streaming applications make striking a balance between high compute performance and efficiency paramount in platforms designs for edge computing. In […]
Title: Making Deep Neural Network Transparent Date: 11/29/2023 Time: 3:00:00 pm Committee Members: Prof. Jennifer Dy (Advisor) Prof. Mario Sznaier Prof. Eduardo Sontag Prof. Peter Castaldi Abstract: As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent. The ability to interpret and comprehend […]
Title: Making Deep Neural Network Transparent Date: 11/29/2023 Time: 4:30:00 PM Committee Members:- Prof. Jennifer Dy Prof. Eduardo Sontag Prof. Mario Sznaier Prof. Peter Castaldi Abstract: As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent. The ability to interpret and comprehend the […]
Title: Hardware Security Vulnerabilities in Deep Neural Networks and Mitigations Date: 12/4/2023 Time: 10:30:00 AM Committee Members: Prof. Yunsi Fei (Advisor) Prof. Aidong Ding Prof. Xue Lin Prof. Xiaolin Xu Abstract: In the past decade, Deep Neural Networks (DNNs) have become pivotal in numerous fields, including security-sensitive autonomous driving and privacy-critical medical diagnosis. This Ph.D. […]
Title: COPILOT: Cooperative Perception using Lidar for Handoffs between Road Side Units Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Stratis Ioannidis Prof. Jennifer Dy Abstract: This thesis presents COPILOT, a ML-based approach that allows vehicles requiring ubiquitous high bandwidth connectivity to identify the most suitable road side units (RSUs) through proactive handoffs. By cooperatively exchanging […]
Title: Wireless Intelligence: A Comprehensive Exploration of AI-Driven Solutions in Channel Estimation, Beam Refinement, and Protocol Classification for Next Generation Networks Committee Members: Prof. Kaushik Chowdhury (advisor) Prof. Stratis Ioannidis Dr. Chris Dick Abstract: his thesis explores the transformative impact of artificial intelligence (AI) on wireless systems through model-driven simulations and real-world datasets, with a […]
Title: Experimental research on the Nonlinear Magnetoelectric Effect of the VLF ME Antennas Committee Members: Prof. Nian Sun (Advisor) Prof. Yongmin Liu Prof. Xufeng Zhang Abstract: Magnetoelectric (ME) coupling effects in ferromagnetic and piezoelectric composites involve the control of electric polarization (P) by applying a magnetic field (H) (direct ME effect), or the manipulation of […]
Title: Complex Delayed Networks and Their Application in Epidemic Analysis: Modeling, Analysis, and Strategic Management Committee Members: Prof. Milad Siami (Advisor) Prof. Bahram Shafai Prof. Rozhin Hajian Abstract: In the face of crowd-related disasters like pandemics and mass attacks, the complex dynamics of human interactions demand comprehensive modeling approaches. This proposal adopts a network-based perspective, […]
Title: Network Security Management and Threat Mitigation in the Open Cloud Committee Members: Prof. Miriam Leeser (Advisor) Prof. Michael Zink Prof. Xiaolin Xu Abstract: Cloud computing and advanced cyberinfrastructures are increasingly vital to the functioning of Internet systems. Every day, more devices are added to the cloud, to provide greater resource utilization, availability, and scalability. […]