Ankan অঙ্কন

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PhD Candidate in Computer Science @ University of Kentucky

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About

I am a PhD candidate in Computer Science at the University of Kentucky. I enjoy doing research in Computer Science, specifically in the field of Computer Vision, Computer Graphics, and Machine Learning. I am interested in the application of these techniques to Digital Humanities. I am excited to discover new contents from damaged antique artifacts, which no one has ever been able to see. Specifically, I work on non invasive digital restoration of old damaged photographic films, under the supervision of Dr. Brent Seales and Dr. Seth Parker, in EduceLab. I have more than 2 years experience in CT Scanning and 3D prinitng mounts for artifacts like scrolls, books, and films on SKYSCAN 1273. I have about a decade of experience in applying deep learning based Computer Vision models to data like online handwriting, Infrared images and X-Ray based CT Scans. I am interested in exploring Ray Tracing based techniques to Computer Vision problems. I am passionate about the intersection between Computer Vision and Computer Graphics. I am also experienced in using Camera systems like FLIR cameras and building software using Spinnaeker library provided by Teledyne. I am interested in understanding how a data is collected and what the data means before applying any machine learning/ deep learning models. I am more keen towards understanding the data at a material level and figure out how an EM wave like X-Ray or visible light interacted with the materials to make that data/image. This helps me building a deep learning model to understand the property of the material rather than applying out-of-the-box model as a black box.

“Life is an overdetermined system of equations. You cannot satisfy everyone.” -Ankan

Download my Curriculum Vitae (PDF)

Interests

Computer Graphics, Computer Vision, View interpolation, Neural Radiance Field (NeRF), Photogrammetry, Structure From Motion (SFM), Homography, Image Registration, Image Recognition, Deep Learning, Heritage Science, Multi View Stereo (MVS), Multi View Geometry (MVG), CT Scan, Film Photography. Film Rolls, X-Ray Fluorecense (XRF), Autodesk Fusion 360, 3D Printing

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