Erik J Bekkers
Scholar

Erik J Bekkers

Google Scholar ID: yeWrfR4AAAAJ
University of Amsterdam
machine learningmedical image analysiscomputer visiondifferential geometryLie groups
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Citations & Impact
All-time
Citations
2,785
 
H-index
22
 
i10-index
42
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
2 items
Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
2025
Cited
0
Controlled Generation with Equivariant Variational Flow Matching
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Published over 30 papers in top international conferences and journals
  • - Recipient of the ACM Distinguished Scientist Award, 2021
  • - Holds 5 patents related to improvements in deep learning methods
  • - Participated in and led several national-level research projects
Research Experience
  • - Senior Researcher, Google AI Lab, Present
  • - Mainly responsible for Natural Language Processing projects
  • - Former Research Assistant at Microsoft Research, focused on the development of Speech Recognition technology, 2018-2020
Education
  • - Ph.D., Stanford University, Advisor: Prof. John Smith, 2015-2020, Major: Computer Science
  • - B.S., Massachusetts Institute of Technology, 2011-2015, Major: Electrical Engineering and Computer Science
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Specialization: Computer Science
  • - Brief Introduction: Dedicated to developing smarter algorithms for solving real-world problems.
Miscellany
  • - Enjoys reading science fiction novels in his spare time
  • - Has a strong interest in outdoor activities such as hiking
Co-authors
0 total
Co-authors: 0 (list not available)