Scholar
Debarghya Ghoshdastidar
Google Scholar ID: Kp-enVQAAAAJ
Technical University of Munich
Citations & Impact
Citations
867
H-index
13
i10-index
18
Publications
20
Co-authors
36
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of Google PhD Fellowship Program (2013-2016), member of ELLIS Society (European Laboratory for Learning and Intelligent Systems), and part of Baden-Württemberg Eliteprogramm for Postdocs.
Research Experience
- Worked or involved with several institutions and projects including Technical University of Munich (since 2019), TUM Georg Nemetschek Institute (2024-2027), Konrad Zuse School of Excellence in Reliable AI (2023-2026), among others; Participated in multiple research projects funded by the German Research Foundation (DFG).
Education
- Specific educational background details not provided.
Background
- Research interests: Statistical Learning Theory, High-dimensional Statistics, Theory of Deep Learning, Machine Learning on Graphs, Network Analysis. Specializes in Theoretical Foundations of Artificial Intelligence.
Miscellany
- Involved in a French-German collaboration project ASCAI (2022-2024) and serves as a member of the Foundation Advisory Board for International AIQT Foundation.
