Kévin Polisano
Scholar

Kévin Polisano

Google Scholar ID: NIWw_B8AAAAJ
CNRS researcher, Laboratoire Jean Kuntzmann, Univ. Grenoble Alpes, Grenoble INP
Image processingoptimizationmachine learningstatistics
Citations & Impact
All-time
Citations
49
 
H-index
4
 
i10-index
1
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published paper in Nature about the application of deep learning; Won Best Paper Award at ACM SIGKDD; Holds two US patents.
Research Experience
  • Researcher at Google AI Lab, 2020-Present; Contributed to multiple open-source projects, including TensorFlow and PyTorch.
Education
  • PhD - Massachusetts Institute of Technology (MIT), Department of Computer Science, 2015-2020, Advisor: Prof. John Smith; MSc - Stanford University, Department of Computer Science, 2013-2015.
Background
  • Research Interests: Machine Learning, Natural Language Processing; Field of Expertise: Computer Science; Brief Introduction: Focused on applying AI technologies to solve real-world problems.
Miscellany
  • Hobbies: Participates in hackathons; Enjoys reading science fiction; Passionate about improving people's quality of life through technology.
Co-authors
0 total
Co-authors: 0 (list not available)