Shikhar Uttam

Shikhar Uttam, Ph.D.
Research Assistant Professor

Ph.D. Electrical Engineering (Minor: Mathematics) The University of Arizona, Tucson

Phone: (412) 383 7475

Research Summary

My research work combines the areas of computational imaging, machine learning, optics, signal processing, and image science towards (a) characterizing nanoscale nuclear morphology through alterations in nuclear refractive index during cell proliferation, chromatin decondensation, and cancer progression in different disease models such as esophageal, colon, and breast cancers; (b) developing screening approaches for patients with chronic intra-bowel disease (IBD) colitis at-risk of developing colorectal cancer; (c) understanding role of spatial tumor heterogeneity in cancer progression; (d) applications of graphical models and causal graphical models in understanding cancer development; (e) developing new imaging modalities such as Fourier phase derivative of Fourier-domain optical coherence tomography, and tomographic imaging based on spectral encoding of spatial frequency; (f) characterizing scattering- and diffraction-based light-matter interaction in biological specimens; and (g) developing computational imaging approaches based on different perspectives related to hyperspectral and space-scale imaging, combinatorics and adaptive signal processing, and compressed sensing and sparse coding. More details about my work can be found on my website.

Recent Publications

S. Uttam and Y. Liu (2015) Fourier phase in Fourier-domain optical coherence tomography, J. Opt. Soc. Am. A; 32: 2286-2306.

S. Uttam, H. V. Pham, J. LaFace, B. Leibowitz, J. Yu , R. E. Brand, D. J. Hartman, and Y. Liu (2015) Early prediction of cancer progression by depth-resolved nanoscale mapping of nuclear architecture from unstained tissue specimens, Cancer Res.; 75: 4718-4727.