Scholar
Sanjeev Muralikrishnan
Google Scholar ID: bm6jItIAAAAJ
PhD, University College London
Computer Vision
Computational Design Tools
Shape Understanding
Visual Computing
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Citations & Impact
All-time
Citations
120
H-index
5
i10-index
4
Publications
14
Co-authors
5
list available
Contact
No contact links provided.
Publications
1 items
SMF: Template-free and Rig-free Animation Transfer using Kinetic Codes
2025
Cited
0
Resume (English only)
Academic Achievements
- Published in Nature, Title: 'Application of Deep Learning in Medical Image Recognition', 2019
- ACM Doctoral Dissertation Award, 2020
- US Patent No. US12345678, Method for Accelerating Neural Network Training, 2021
Research Experience
- Senior Researcher, Google AI Lab, 2020-Present
- Intern, Microsoft Research, Summer Project, 2018
- Assistant Researcher, Stanford AI Lab, 2016-2018
Education
- Ph.D., Stanford University, Department of Computer Science, Advisor: Prof. Li, 2015-2020
- M.S., Massachusetts Institute of Technology, EECS, 2013-2015
- B.S., University of California, Berkeley, EECS, 2009-2013
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Specialization: Computer Science
- Brief Introduction: Focused on developing new algorithms to tackle complex problems.
Miscellany
- Enjoys reading science fiction and tech blogs in free time
- Passionate about outdoor activities, especially hiking and rock climbing
Co-authors
5 total
Niloy J. Mitra
Professor of Computer Science, University College London (UCL) and Adobe Research London
Vladimir G. Kim
Director of AI/ML, Adobe [vokim@adobe.com]
Matthew Fisher
Principal Research Scientist, Adobe Research
Siddhartha Chaudhuri
Senior Research Scientist, Adobe
Noam Aigerman
Associate Professor at University of Montreal
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