About me
I am a Ph.D. student in Computer Science at the University of Georgia, working at the intersection of artificial intelligence and medicine. My research focuses on developing intelligent systems for early disease detection, precision medicine, and animal behavior analysis using multimodal data.
My work combines computer vision, machine learning, and large language models to build self-improving systems that can learn from limited data and adapt to real-world environments.
Research Interests
- AI for Animal Behaviour Analysis
- AI for Healthcare and Precision Medicine
- Early Disease Detection (especially cancer)
- Computer Vision and Multimodal Learning
- Foundation Models and Label-Efficient Learning
Current Work
- Developing label-efficient pipelines for object detection using foundation models
- Building AI systems for medical image analysis and clinical decision support
- Designing multimodal tracking systems integrating vision and sensor data
- Exploring connections between behavior modeling and biological intelligence
Selected Publications
- Artificial Intelligence Breakthroughs in Early Diagnosis and Precision Treatment of Breast Cancer: A Multimethod Study (2024)
- Foundation Models as Data Engines:Label-Efficient Learning in Modern Computer Vision (2026)
- Evolutionary Computing Applications and Trends from 2010 to 2025: A Brief Review (2025)
(See the Publications page for the full list.)
Ongoing Projects
- Patient Copilot for educating patient and help in decision making processes
- Autonomous data curation using foundation models and Vision-language models
- Animal Behavior tracking in multi-sensor/multi-camera environments
Contact
Feel free to reach out for collaborations or discussions related to AI, healthcare, and interdisciplinary research.