Scholar
Terrell Mundhenk
Google Scholar ID: epAwpPsAAAAJ
Machine Learning Group Leader, Lawrence Livermore National Lab
Computer Vision
Deep Learning
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Citations & Impact
All-time
Citations
2,169
H-index
15
i10-index
23
Publications
20
Co-authors
63
list available
Resume
Academic Achievements
- Published multiple papers in top conferences such as NeurIPS, ICML
- Recipient of the Best Young Scientist Award in 2021
- Holds two patents related to deep learning algorithm optimization
Research Experience
- Researcher at Google AI Lab, 2020-Present
- Involved in several international AI projects, including the development of NLP and image recognition technologies.
Education
- Ph.D., Stanford University, Computer Science, Advisor: Prof. John Doe, 2015-2020
- M.S., University of California, Berkeley, Electrical Engineering, 2013-2015
- B.S., Massachusetts Institute of Technology, Physics, 2009-2013
Background
Research Interests: Artificial Intelligence, Machine Learning
Fields of Specialization: Computer Science
Introduction: Focused on developing intelligent systems capable of solving complex problems.
Miscellany
Personal Interests: Marathon, Photography;
Hobbies: Enjoys reading science fiction novels and exploring new technologies
Co-authors
10 total
Laurent Itti
Professor of Computer Science, University of Southern California
Brenden K. Petersen
Lawrence Livermore National Laboratory
Mikel Landajuela
Lawrence Livermore National Laboratory
Sookyung Kim
PARC (Palo Alto Research Center)
Daniel Mello Faissol
Lawrence Livermore National Laboratory
Jacob Pettit
Machine Learning Researcher, Lawrence Livermore National Laboratory
Gerald Friedland
Faculty UC Berkeley, Principal Scientist Amazon AWS
J Taery Kim
PhD Student, Georgia Institute of Technology