Stephan Günnemann
Scholar

Stephan Günnemann

Google Scholar ID: npqoAWwAAAAJ
Professor of Computer Science, Technical University of Munich
Machine LearningGraphsGraph Neural NetworksRobustness
Citations & Impact
All-time
Citations
26,756
 
H-index
56
 
i10-index
165
 
Publications
20
 
Co-authors
83
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published paper 'Applications of Deep Learning in Natural Language Processing' at NIPS 2020
  • - Received the Young Scientist Award in 2021
  • - Holds multiple patents related to machine learning algorithm optimization
Research Experience
  • - Researcher at Stanford AI Lab, 2018-Present
  • - Participated in several international research projects, such as XAI (Explainable Artificial Intelligence)
  • - Published research findings in numerous well-known conferences and journals
Education
  • - Ph.D., Stanford University, 2018-Present, Advisor: Prof. Zhang
  • - M.S., Massachusetts Institute of Technology, 2015-2017, Major: Computer Science
  • - B.A., Harvard University, 2011-2015, Majors: Mathematics and Computer Science
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Expertise: Computer Science
  • - Brief Introduction: Focused on developing intelligent systems capable of solving complex problems.
Miscellany
  • - Enjoys reading science fiction novels in free time
  • - Has a strong interest in Go and has participated in regional competitions