Sai Karthikeya Vemuri, M.Sc.
Sai Karthikeya Vemuri
Address: Computer Vision Group
Department of Mathematics and Computer Science
Friedrich Schiller University of Jena
Ernst-Abbe-Platz 2
07743 Jena
Germany
Phone: +49 (0) 3641 9 46416
E-mail: sai (dot) karthikeya (dot) vemuri (at) uni-jena (dot) de
Room: 1212
Links:
Curriculum Vitae
since Oct 2022 PhD student
Computer Vision Group, Friedrich Schiller University Jena
Data Analysis and Intelligence Group, German Aerospace Center (DLR), Institute for Data Science, Jena
Research topic: “MELODI: Machine-learning-based analysis of fan noise source dependencies on aerodynamic
inlet disturbances”
2019 – 2022 Masters in Computational Materials Sciences
TU Bergakademie Freiberg
Master Thesis: “Machine Learning assisted understanding of RVE size dependent uncertainties and
corresponding hierarchy of properties”
2015 – 2019 Bachelors in Mechanical Engineering
Osmania University, Hyderabad, India
Research Interests
  • Applied DL/ML in Physics and Engineering
  • Knowledge Integration
  • Causality
Projects
MELODI: Machine-learning-based Analysis of Fan Noise Source Dependencies on Aerodynamic Inlet Disturbances

Development and testing of machine learning methods to investigate dependencies of fan noise sources on aerodynamic inflow disturbances. These physical relationships have not yet been investigated using the modern methods that have been developed in the field of artificial intelligence and machine learning. Existing methods for the integration of prior knowledge into machine learning procedures, as well as causality investigations are tested and extended for this specific application domain.

Publications