Events for May 13, 2025
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PhD Thesis Proposal - Christina Shin
Tue, May 13, 2025 @ 11:00 AM - 12:30 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Harnessing Vehicular 3D Primitives for Networked Scene Operation and Manipulation
Date and Time: Tuesday, May 13th, 2025 | 11am-12:30pm
Location: GCS 402C
Committee Members: Ramesh Govindan (Advisor), Laurent Itti, Harsha V. Madhyastha, Antonio Ortega, Barath Raghavan
Abstract: This proposal explores a cloud-centric framework for managing 3D data as a networked and shared resource in vehicular systems. Fueled by 3D sensors like LiDARs, 3D data enables new ways of perceiving and interacting with the physical world with high spatial fidelity. With the rise of vehicular communication, 3D data can now be streamed, fused, and interpreted beyond local on-board devices enabling new forms of collaborative scene understanding and immersive content delivery.
The proposal introduces two systems: RECAP, which reconstructs traffic scenes by aggregating 3D data from moving vehicles, and CIP, which performs collaborative perception using multiple infrastructure sensors. These works demonstrate how cloud processing can support real-time, accurate, and scalable 3D scene operations. Looking ahead, the proposed system MARS aims to deliver 3D video to vehicles for immersive passenger experiences, expanding the use of 3D data beyond machine perception to human-centered applications.
Location: Ginsburg Hall (GCS) - 402C
Audiences: Everyone Is Invited
Contact: Christina Shin
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
PhD Dissertation Defense - Paul Chiou
Tue, May 13, 2025 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Automated Detection of Keyboard Accessibility Issues in Web Applications
Date and Time: Tuesday, May 13th, 2025. 12:00 PM - 2:00 PM
Location: Ginsburg Hall (GCS) Floor L5 - Room 502C
Committee Members: William G.J. Halfond (Chair), Nenad Medvidovic, Mukund Raghothaman, Gisele Ragusa, and Chao Wang
Abstract: The internet has become an important part of our daily lives, enabling us to complete everyday and essential tasks online. For the 15% of the global population with disabilities, accessing the internet is critical and can provide access to resources that would otherwise be unavailable. Many people with different disabilities rely on the keyboard interface to access the internet; however, studies found that web applications today largely remain inaccessible to keyboard users. Testing keyboard accessibility is a labor-intensive task currently done manually by skilled practitioners. In my research, I used program analysis techniques to automate the keyboard accessibility testing process to alleviate the manual effort involved. I developed a novel approach to automatically detect keyboard accessibility issues that negatively affect disabled users' ability to navigate web pages' user interface. The approach implements a dynamic crawler to build a model that captures a web page's interactivity from a keyboard user's perspective. The approach then analyzes the model to identify the inaccessible behaviors per accessibility guidelines. Finally, I conducted evaluations to show the accuracy of the approach in detecting keyboard accessibility issues in real-world web applications.Location: Ginsburg Hall (GCS) - 502C
Audiences: Everyone Is Invited
Contact: Paul Chiou
Event Link: https://usc.zoom.us/j/94969307418?pwd=tEEvSPznMZgr7DBEvP4T5vREfBCYD0.1
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
PhD Dissertation Defense - Hsien-Te Kao
Tue, May 13, 2025 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Cold Start Prediction in Personalizd Health
Date and Time: Tuesday, May 13th, 2025 | 2:00p - 4:00p
Location: GCS 202C
Committee Members: Emilio Ferrara (Chair), Kristina Lerman, Maryam M. Shanechi
Abstract: Mobile health (mHealth) has transformed healthcare delivery by using mobile technologies, wearable sensors, and machine learning to expand access, especially for populations facing geographic, economic, or clinical barriers. By enabling passive and continuous data collection, mHealth systems support early detection, real-time prediction, and proactive management of a wide range of health conditions through sensor-driven machine learning. Personalized mHealth extends these capabilities by integrating individual-level modeling and multi-source health records to improve model performance and support deeper understanding of individual health in their life contexts. Despite this progress, real-world deployment remains constrained by user reluctance, privacy concerns, and strict regulations that severely limit the availability of labeled individual health data. This dissertation presents a personalized mHealth framework designed to achieve mHealth predictions without health labels, addressing the cold-start problem. The work identifies key temporal segments that most influence model performance, introduces a cognitive appraisal-based similarity metric linking individuals through physiological signals and health labels, and demonstrates that five labels are sufficient for assigning users into their appraisal cohorts. It further shows that promising mHealth predictions can be achieved under cold-start conditions and uncovers how sociodemographic factors are associated with latent physiological and health patterns. The research contributes to foundational advances in theory-driven, label-efficient modeling for individualized health prediction. It also supports the development of practical mHealth systems capable of improving everyday health management beyond clinical settings.Location: Ginsburg Hall (GCS) - 202C
Audiences: Everyone Is Invited
Contact: Hsien-Te Kao
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
