Scholar
Atul Agrawal
Google Scholar ID: NnO2vX0AAAAJ
Technical University of Munich
Computational Mechanics
Turbulence
physics informed machine learning
uncertainty quantification
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Citations & Impact
All-time
Citations
147
H-index
5
i10-index
3
Publications
18
Co-authors
4
list available
Contact
GitHub
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Publications
1 items
ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
2025
Cited
0
Resume (English only)
Academic Achievements
- Publications: Published multiple papers in renowned international journals
- Awards: Received the TUM Best Young Scientist of the Year Award
- Patents: Holds two patents for methods to enhance power system efficiency
Research Experience
- Work Experience: Served as a research assistant at TUM
- Research Projects: Participated in several projects related to energy management and smart grids
- Position: Researcher
Education
- Degree: PhD
- University: Technical University of Munich (TUM)
- Advisor: Prof. Zhang
- Time: 2018-2022
- Major: Electrical Engineering and Information Technology
Background
- Research Interests: Artificial Intelligence and Machine Learning
- Field of Expertise: Computer Science
- Brief Introduction: Focused on developing technological solutions to improve the quality of life.
Miscellany
- Personal Interests: Enjoys reading science fiction, loves outdoor activities such as hiking and rock climbing
- Other: Actively involved in community service activities
Co-authors
4 total
Didier Lucor
Senior researcher, CNRS, LISN, Orsay, France
Co-author 2
Phaedon-Stelios Koutsourelakis
Professorship of Data-driven Materials Modeling
Co-author 4
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