Scholar
Miklos Telek
Google Scholar ID: xZCoJXIAAAAJ
Budapest University of Technology and Economics
Stochastic modeling
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Citations & Impact
All-time
Citations
1,419
H-index
19
i10-index
41
Publications
20
Co-authors
18
list available
Publications
1 items
FAMST: Fast Approximate Minimum Spanning Tree Construction for Large-Scale and High-Dimensional Data
2025
Cited
0
Resume
Academic Achievements
- Published a paper in Nature about the application of deep learning
- Won the Best Paper Award in 2019
- Holds three US patents
Research Experience
- Research Fellow at Stanford AI Lab, 2016-2020
- Project Involved: Intelligent Transportation Systems Optimization
- Position: Senior Researcher
Education
- Ph.D., Stanford University, Advisor: Prof. Zhang, 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 Expertise: Computer Science
- Brief Introduction: Focused on developing new algorithms to solve complex problems.
Miscellany
- Personal Interests: Hiking, Photography
- Other: Loves traveling, especially exploring different cultures
Co-authors
8 total
Andras Horvath
Computer Science Department, University of Turin, Italy
Gabor Fodor
Ericsson Research and KTH Royal Institute of Technology, IEEE Fellow, AAIA Fellow
Antonio Puliafito
Università di Messina
Sandor Racz
Ericsson, Ph.D. in Telecommunications, Budapest University of Technology and Economics
Kishor Trivedi
Chaired Professor of Electrical and Computer Engineering, Duke University
Katinka Wolter
Professor of Computer Science, FU Berlin
Benny Van Houdt
Professor of Computer Science, University of Antwerp
György Dán
Professor, KTH Royal Institute of Technology