Amartya Dutta
Dr. Amartya Dutta was a graduate student in the Yang Lab. Previous REU/RET Projects include: Synthesis of Core-Shell-Shell Gold Nano-Particles with Broader and Improved Raman Enhancement (2019)
Chen Yang
2026 REU Project: Developing biocompatible gold nanoparticles for non-invasive retinal stimulation The Yang Research Laboratory’s research programs are currently focused on nanomaterial-based neural interfaces. Specifically, the lab is developing nanomaterial-based photonics and electronics for neuromodulation and live cell sensing. The lab is highly interdisciplinary and uses ideas and techniques from physical, chemical, biological, and engineering […]
LiYi Hsu
Dr. LiYi Hsu was a graduate student in the Abdoulaye Ndao Lab. Previous REU/RET Projects include: Large Scale Metasurface Simulation (2021)
Abdoulaye Ndao
Previous REU/RET Projects include: Large Scale Metasurface Simulation (2021)
Yunzhe Li
Dr. Yunzhe Li was a graduate student in the Computational Imaging Systems Lab. Previous REU/RET Projects include: Computational Aberration Retrieval of Array Optics (2021) Imaging with a Random Focusing Optical Element (2021)
Hari Chauhan
Dr. Hari Chauhan was a graduate student in the Mohamed Azize Lab. Previous REU/RET Projects include: Lab-on-chip for Molecular Diagnosis (2022)
Ji-Xin Cheng
2026 REU Project: Imaging tumor spheroid by SWIR CARS Dr. Cheng’s research interests include medical photonics, neurophotonics, molecular spectroscopic imaging technologies, label-free microscopy, cancer metabolism, and photonics for infectious diseases. Cheng and his team have invented a series of chemical microscopes that use spectroscopic signals to map molecular interactions inside a living system temporally and […]
Jiabei Zhu
Jiabei Zhu is a graduate student in the Tian Lab. Previous REU/RET Projects include: Computational 3D Phase Imaging of Multiple-scattering Samples (2022)
Lei Tian
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 […]
Jeff Demas
Dr. Jeff Demas was a Research Assistant Professor in the Ramachandran Lab. Previous REU/RET Projects include: Machine Learning Optimization of OAM-mediated Nonlinear Fiber Optics (2024) Sculpting Light in Space (2023)