Ruangrawee (Kao) Kitichotkul
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I am a 2nd year PhD student in the Department of Electrical and Computer Engineering at Boston University. I work at the Signal Transformation and Information Representation (STIR) group, advised by Prof. Vivek Goyal. I am generally interested in statistical signal processing and computational imaging. My most recent projects at the STIR group include developing models and methods for single-photon imaging and particle beam microscopy. Previously, I was a Coterm student (B.S. + M.S.) at the Department of Electrical Engineering, Stanford University. My B.S. advisor is Prof. John Pauly, and my M.S. advisor is Prof. Mert Pilanci. At Stanford, I was fortunate to work with Prof. Christopher Metzler and Prof. Gordon Wetzstein at Stanford Computational Imaging Lab. |
Education
Ph.D. in Electrical Engineering, Boston University, 2022 - present
M.S. in Electrical Engineering, Stanford University, 2021 - 2022
B.S. in Electrical Engineering, Stanford University, 2018 - 2022
Publications
The Role of Detection Times in Reflectivity Estimation With Single-Photon Lidar.
R. Kitichotkul, J. Rapp, and V. K. Goyal, IEEE Journal of Selected Topics in Quantum Electronics, 2023. [IEEE]Denoising Particle Beam Micrographs With Plug-and-Play Methods.
M. Peng, R. Kitichotkul, S. W. Seidel, C. Yu, and V. K. Goyal, IEEE Transactions on Computational Imaging, 9:581-593, 2023. [IEEE] [arXiv] [code]SUREMap: Predicting Uncertainty in CNN-Based Image Reconstructions Using Stein’s Unbiased Risk Estimate.
R. Kitichotkul, C. A. Metzler, F. Ong, and G. Wetzstein, ICASSP, 2021. [IEEE] [arXiv] [code] [poster]
Preprints
Resolving Multiphoton Coincidences in Single-Photon Detector Arrays with Row-Column Readouts
S. Bharadwaj, R. Kitichotkul, A. Agarwal, and V. K. Goyal, 2023. [arXiv]Shot noise-mitigated secondary electron imaging with ion count-aided microscopy A. Agarwal, L. Kasaei, X. He, R. Kitichotkul, O. K. Hitit, M. Peng, J. A. Schultz, L. C. Feldman, and V. K. Goyal, 2023. [arXiv]
Contact
rkitich at bu dot edu