Lei Tian
Associate Professor (ECE, BME)
2026 REU Project: Signal Processing and Deep Learning Frameworks for Spatiotemporal Analysis of In-Vivo Neural Activity
The Computational Imaging Systems Lab develops next-generation imaging systems that synergistically combine optics and computations. These computational imaging systems can overcome physical limitations and achieve novel capabilities that one could not with traditional imaging methods. The core of our work is the joint design of the physical layer (optical components, sensors, and devices) and the computational layer (signal processing, and machine learning algorithms).
Previous REU/RET Projects Include:
- Computational 3D Phase Imaging of Multiple-scattering Samples (REU/RET, 2022)
- Computational Aberration Retrieval of Array Optics (REU, 2021)
- Imaging with a Random Focusing Optical Element (REU/RET, 2021)
- Computational Microscopy Using Coded Illumination for Biomedical Imaging (REU/RET, 2017)
- Departments
- Biomedical Engineering and Electrical and Computer Engineering
- Affiliation
- Faculty
- Program Year
- 2017, 2021, and 2022