Machine Learning and Computational Genomics Lab at Santa Clara University
Welcome to our official Hugging Face organization page!
About Us
This is the HuggingFace space for the research lab of Prof. David C. Anastasiu at Santa Clara University. We will use this space to release datasets that support our research projects.
Focus Areas
- Computer Vision
- Large Language Models (Visual, Multimodal, and Otherwise)
- Time Series Analysis
- Computational Genomics
- Data Mining
Our Projects
- Video Anomaly Anticipation: We aim to develop real-time artificial intelligence (AI) models for anomaly anticipation in video streams, i.e., to predict an anomaly before it happens.
- AI Models for Hydrologic Flow Prediction: The project aims to develop predictive artificial intelligence-based tools that will assist the Santa Clara Valley Water Authority (SCVWA) in its core business goals of flood protection and water supply planning.
- Smart City Transportation: Focusing on the problems of traffic congestion and safety, we have developed state-of-the-art deep learning methods for transportation analytics.
- Kidney Health Monitoring: We are developing novel methods for characterizing the severity of kidney disease with the ease of snapping a picture.
- Nearest Neighbor Search and Graph Construction: Finding neighbors is a foundational problem that many machine learning algorithms depend on. We have developed and continue to develop serial and parallel solutions to the problems of constructing neighborhood graphs and nearest neighbor search for sparse data, in which objects have few features with non-zero values.
Contact & Resources