Atul Agrawal
Scholar

Atul Agrawal

Google Scholar ID: NnO2vX0AAAAJ
Technical University of Munich
Computational MechanicsTurbulencephysics informed machine learninguncertainty quantification
Citations & Impact
All-time
Citations
147
 
H-index
5
 
i10-index
3
 
Publications
18
 
Co-authors
4
list available
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