Picture of Neha Das

M.Sc. Neha Das

Technical University of Munich

Chair of Information-oriented Control (Prof. Hirche)

Short Biography

  • 10/2020 - present: PhD candidate at Chair of Information-Oriented Control (ITR), Technical University of Munich (TUM), Germany.
    • Projects: Part of ReHyb, COMAN, conPDMode, Preference-based control
  • 2019 - 2020: AI Resident, Facebook, U.S.A. 
    • Projects: Inverse Dynamics Learning, Inverse Reinforcement Learning
  • 2016 - 2019: Masters in Informatics, Technical University of Munich, Germany.
    • Projects: Intrinsically Motivitated Control, 3D Semantic segmentation of Human Bodies, Computer Vision, Machine Learning
  • 2009 - 2013: B.Sc. in Software Engineering, Delhi Technological University, India.
    • Projects: Algorithms, Datastructures, Artificial Bee Colony Analysis (Final Project)

Research Interests

My research interests include

  • system identification
  • reinforcement learning
  • control for rehabilitation
  • learning-based control from user preferences
  • meta learning

For Prospective Students

If you are interested in doing a Forshungpraxis and/or a Bachelor's or Master's Thesis under my supervision, then please contact me via Email (neha.das@tum.de), along with your CV and grades. 

Publications @ ITR

  • Das, Neha; Endo, Satoshi; Patel, Sabrina; Krewer, Carmen; Hirche, Sandra: Online detection of compensatory strategies in human movement with supervised classification: a pilot study. Frontiers in Neurorobotics 17, 2023 mehr…
  • Nertinger, Simone; Das, Neha; Satoshi, Endo ; Naceri, Abdeldjallil; Hirche, Sandra; Haddadin, Sami: Assessing Human-Human Kinematics for the Implementation of Robot-Assisted Physical Therapy in Humanoids: A pilot study. The International Conference on Rehabilitation Robotics (ICORR) 2023, 2023 mehr…
  • N. Das; J. Umlauft; A. Lederer; A. Capone; T. Beckers; S. Hirche: Deep Learning based Uncertainty Decomposition for Real-time Control. 2023, The 22nd World Congress of the International Federation of Automatic Control, 2023 mehr…
  • A. Lederer; A. Begzadi; N. Das; S. Hirche: Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. 2023, The 22nd World Congress of the International Federation of Automatic Control, 2023 mehr…