Dr. Sanjeev Koppal
Sanjeev Koppal is an Associate Professor at the University of Florida’s Electrical and Computer Engineering Department. He also holds a UF Term Professor Award for 2021-24. Sanjeev is the Director of the FOCUS Lab at UF. Prior to joining UF, he was a researcher at the Texas Instruments Imaging R&D lab. Sanjeev obtained his Masters and Ph.D. degrees from the Robotics Institute at Carnegie Mellon University. After CMU, he was a postdoctoral research associate in the School of Engineering and Applied Sciences at Harvard University. He received his B.S. degree from the University of Southern California in 2003 as a Trustee Scholar. He is a co-author on best student paper awards for ECCV 2016 and NEMS 2018, and work from his FOCUS lab was a CVPR 2019 best-paper finalist. Sanjeev won an NSF CAREER award in 2020 and is an IEEE Senior Member. His interests span computer vision, computational photography and optics, novel cameras and sensors, 3D reconstruction, physics-based vision, and active illumination.
Sanjeev J. Koppal
Sazzad received his doctorate from Edith Cowan University (ECU), Australia in 2018. As a post-doctoral researcher, he is working on Hyperspectral Imaging (HSI).
Xiaomeng Liu is currently working as a research assistant in the FOCUS Lab at UF. Before working with the FOCUS Lab, she obtained an M.S. Degree in Computer Engineering from the ECE department at the University of Florida. Her research interests span thermal sensors, optics, image processing, and computational photography.
Before joining the FOCUS Lab at UF, Justin obtained a B.S. degree in Electrical Engineering from Florida Polytechnic University. His interests include LiDAR, computer vision, deep learning, and computational photography. With the focus of his work being adaptive LiDAR.
Hannah is a fifth year electrical engineering student interested in signal processing.
Gavin St. John
Gavin is a 4th year mechanical engineering student focusing on computer vision and machine learning.
Sophia is a fourth-year electrical engineering student interested in artificial intelligence, machine learning, and deep learning.