Audience: Students
-
Osorio, S. (AM) – Image-Based Wound Infection Classification
This thesis investigates the use of deep learning for classifying wound infections from photographic images, using colony-forming unit (CFU) counts as a quantitative labeling standard. Leveraging the visual information in […]
-
Briden, M. (CSE) – Representation Learning and Generative Forecasting for Noisy and Limited Clinical Data: Applications in Wound Healing and EEG
The rapid integration of artificial intelligence and machine learning into clinical practice has driven advances in disease classification, segmentation, and clinical decision support. However, the complexities of medical data pose […]
-
Vats, V. (CSE) – Learning to Remember: Multi-Agent Self-Refinement toward Persistent Machine Perception
Modern machine perception is powerful yet brittle: failing in response to subtle data adversaries and lacking mechanisms to learn from their errors. We address this challenge by progressing from diagnosing […]
-
Moreland, Z. (AM) – Transcriptomic and Computational Analysis of Burn and Excisional Wound Healing
Accurate assessment of wound healing progress is critical for optimizing patient care and preventing complications, yet clinicians currently lack precise tools to determine where a wound stands in the healing […]
-
Slugs Campout
Adventure Rec warmly welcome UCSC students to join the 5th annual Campus Campout on the Upper East Field! Friday, September 26, 6:30pm – Saturday, September 27, 9:00am.
-
Mawhorter, R. (CSE) – Certified Synthesis for Interactive Media: High Assurance Metroidvania Generation
Program verification has been applied in many contexts (including videogames), but the scale and complexity of the examples that have been analyzed fall short of the ability to analyze many […]
-
BME Special Seminar: La protein and the RNA Polymerase III transcriptome
Presenter: Richard J Maraia, MD, Senior Investigator and Head of the Section on Molecular and Cell Biology in the Intramural Research Program, NICHD Description: The La protein is a eukaryote-ubiquitous […]
-
Model Context Protocol: Why It Matters
The Impact of Model Context Protocol Join us for an engaging exploration of the Model Context Protocol—a groundbreaking framework designed to improve communication and context-sharing across AI agents. As AI […]
-
Asefi, N. (ECE) – Generative Lagrangian Data Assimilation for Ocean Dynamics under Extreme Sparsity
Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and remote regions. This sparsity poses significant challenges […]
-
Ghosh, S. (CMPM) – Scientific Sensemaking with Spatial Data in Collaborative Virtual Reality
Collaborative virtual reality environments have the potential to greatly impact scientific progress, especially those relating to existential human problems. Within these virtual environments, scientists could view and interact with spatial […]