Venkatakrishnan Singanallur
Scholar

Venkatakrishnan Singanallur

Google Scholar ID: ine8otsAAAAJ
Senior Algorithms R&D Engineer - FaST Division, KLA
TomographyInverse problemsImage ProcessingMachine LearningComputational Imaging
Citations & Impact
All-time
Citations
2,678
 
H-index
18
 
i10-index
27
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Senior Area Editor and Associate Editor for IEEE Transactions on Computational Imaging, Journal Referee for multiple IEEE and SIAM journals, Conference Referee for ICIP, ICASSP, and CVPR, Program Committee Member for AAAI Conference on Artificial Intelligence 2025, and Session Chair and Organizer for various conferences and workshops.
Research Experience
  • Focused on the development of algorithms for computational imaging systems, particularly model-based image reconstruction methods. Collaborated with interdisciplinary teams to demonstrate how these approaches can significantly improve the imaging capabilities of electron, X-ray, neutron, and ultrasound systems.
Education
  • Ph.D. in Electrical and Computer Engineering, Purdue University (Advisor: Charles A. Bouman); Master of Science in Electrical and Computer Engineering, Purdue University; Bachelor of Technology in Electronics and Communication Engineering, NIT Trichy
Background
  • Research interests include Computational Imaging, Inverse Problems, Statistical Signal Processing, and Machine Learning. His research aims to aid the development of novel imaging systems such as microscopes, cameras, CT scanners, and ultrasound systems. He focuses on model-based image reconstruction (MBIR) approaches.
Miscellany
  • Community Engagement: Science Ambassador at Lawrence Berkeley National Lab (2015), Oak Ridge National Lab (2018), and Engineering Week Representative at Northwest Middle School Knoxville (2019). Mentorship: Oak Ridge High School Mathematics Thesis (2018-2019, 2020-2021)
Co-authors
0 total
Co-authors: 0 (list not available)