Introduction
The Visual Computing Laboratory develops deep learning algorithms and efficient computing systems for visual, genomic, and biomedical data analysis. Our research focuses on deep neural networks, computer vision, DNA sequence analysis, and hardware accelerator architectures with ASIC/FPGA realization. By integrating software implementation, GPU computing, and hardware-software co-design, we aim to build accurate, efficient, and scalable computing systems for data-intensive applications.
News
2026
- We are recruiting motivated M.S., Ph.D., and undergraduate students and research assistants.
Recruiting
We are recruiting students interested in machine learning, deep learning, computer vision, bioinformatics, neural networks, sequencing data analysis, and digital circuit accelerator design. Students with strong motivation in research and programming are encouraged to contact us.