|
Alankar Kotwal I am a research scientist in neurosurgery with Dr. Pablo Valdes at the University of Texas Medical Branch, and a researcher with Prof. Ashok Veeraraghavan at Rice University. I obtained my PhD in the Robotics Institute at Carnegie Mellon University advised by Prof. Ioannis Gkioulekas and Prof. Anat Levin. Before that, I received my Bachelor's and Master's degrees in Electrical Engineering at the Indian Institute of Technology, Bombay, where I worked with Prof. Ajit Rajwade and Prof. Suyash Awate. |
 |
Research summary
I work in computational imaging, where we combine illumination, sensing and computation in innovative ways to extract information from the environment in a way that a traditional camera cannot. My current work applies the principles of computational imaging to improve visual feedback in neurosurgery.
My PhD work involved building optical imaging systems that use the wave nature of light to achieve exciting capabilities such as seeing through scattering media and micron-scale depth acquisition, with applications in biomedical imaging and industrial fabrication. Some of these are possible only in the lab now: We brought them out in the open! For more on our work on interferometric imaging, please see our SIGGRAPH course.
Projects
 |
SIGGRAPH 2023 course on Computational Interferometric Imaging |
|
Passive Micron-scale Time-of-Flight with Sunlight Interferometry |
 |
Swept-Angle Synthetic Wavelength Interferometry |
 |
Interferometric Transmission Probing with Coded Mutual Intensity |
 |
Signal Sensing and Reconstruction Paradigms for a Multi-Source Static Computed Tomography System |
 |
Designing constrained projections for compressed sensing: mean errors and anomalies with coherence |
 |
Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference |
 |
Joint desmoking and denoising of laparoscopy images |
 |
Optimizing matrices for compressed sensing using existing goodness measures: negative results, and an alternative |
 |
Optimizing codes for source separation in color image demosaicing and compressive video recovery |
Other projects
 |
Optimizing nanoparticles for efficient photothermal therapy |
 |
The IIT Bombay Mars Rover project |
 |
Estimating cosmological photometric redshifts with machine learning |
 |
Fourier ptychography for histological eye section imaging |
 |
Star variability analysis to detect exoplanets in NGC2419 |
 |
An X-ray study of black hole candidate X Norma X-1 |
 |
FPGA-based pipelined RISC microprocessors implementing two architectures |