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

Education

• 2021-Present PhD in Computer Science @ University of Kentucky, USA
• 2013-2017 B.Tech. in Computer Science and Engineering @ West Bengal University of Technology, India

Experience

Work experience

• 2023-present Graduate Research Assistant @ University of Kentucky, USA
• 2022-2023 Graduate Research Assistant @ University of Kentucky, USA
• 2017-2021 AWS Developer @ Cognizant Technology Solutions, India

Teaching experience

• 2023 Spring Primary Instructor for Computer Graphics (CS335) @ University of Kentucky, USA
• 2021-2022 Graduate Teaching Assistant for Computer Graphics (CS335) @ University of Kentucky, USA

Reviewer

Journals

• ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP)
• SN Computer Science

Conferences

• Official Reviewer for International Conference on Pattern Recognition, 2024 (ICPR-2024)
• 3rd International Conference on Data, Electronics and Computing, 2024 (ICDEC-2024)
• Pervasive and Mobile Computing

Publications

• Google Scholar
• ORCID
• DBLP

Honors and Awards

• Outstanding Student Paper Award, ”A deep learning model for classifying human facial expressions from infrared thermal images”, University of Kentucky, Department of Computer Science, April 2022.
• UniPi Merit Scholarship for Master’s Degree (Laurea Magistrale) in Computer Science A.Y. 2021/2022 awarded by University of Pisa, Italy (Did not avail)
• Most Valuable Player (MVP) 2019, from Travel & Hospitality, Cognizant for outstanding performance in contributing to the Domain.
• First position in Ideathon 2018 Hackathon in Cognizant, as a team, for making a voice-powered search engine, “iSearch”.
• The Best Project Award by Cognizant, in 2017. The work was published Here

Contact

• ankan dot bhattacharyya @uky.edu
• LinkedIn

🚀 Updates

• April 17, 2025 Presented System for the 2D-3D detection of bourbon barrel features-of-interest at Practice in AI held by University of Kentucky AI/ML Hub Seminar Series. Video available on YouTube
• July, 2024 Paper titled Multispectral Imaging of Damaged Sacramental Journal Pages: A Preliminary Study appeared online
• May, 2024 Passed Qualifying Examination. Became a PhD Candidate
• April, 2024 Reached 100 Citations on Google Scholar
• September, 2023 Paper titled Multispectral Imaging of Damaged Sacramental Journal Pages: A Preliminary Study was accepted to International Conference on Frontiers in Computing and Systems (COMSYS 2023) Video Here