Senior Scientist

Foto von Elisabeth Jensen

Dr. Ph.D. Elisabeth Jensen

Technische Universität München

Munich Institute of Robotics and Machine Intelligence (MIRMI)


Georg-Brauchle-Ring 60_62
80992 München

08/18 - present: Senior Scientist, Munich School for Robotics and System Intelligence, TUM

09/16 - 04/18: Head of Research and Development, evalu GmbH, Munich, Germany

01/16 - 09/17: Research Scientist, Novel GmbH, Munich, Germany

01/16 - 05/18: Scientific Contractor, Mayo Clinic, Rochester, MN, USA

Doctor of Philosophy (Ph.D.) in Biomedical Engineering, Mayo Graduate School, Rochester, MN, USA

Title: In Vivo Quantification of Three Dimensional Volumetric Strain in the Human Tibialis Anterior

Thesis Advisor: Dr. Kenton Kaufman

Bachelor of Science (B.S.) in Mechanical Engineering, Montana State University, Bozeman, MT, USA

Bachelor of Arts (B.A.) in Modern Languages and Literature, German, Montana State University, Bozeman, MT, USA

1. Jensen, E, Morrow, D, Felmlee, J, Kaufman, K. Error Analysis of Cine Phase Contrast MRI Velocity Measurements used for Strain Calculation. Journal of Biomechanics. 2015 Jan 2; 48(1):95-103.

2. Jensen, E, Lugade, V, Crenshaw, J, Miller, E, Kaufman, K. A Principal Component Analysis Approach to Correcting the Knee Flexion Axis during Gait. Journal of Biomechanics. 2016 June 4; 49(9): 1698-704.

3. Jensen, E, Morrow, D, Murthy, N, Felmlee, J, Kaufman, K. Method of Quantifying Three Dimensional Strain Distribution in Skeletal Muscle Using Cine Phase Contrast MRI. Physiological Measurement. Physiological Measurement. 2015 Dec; 36(12): N135-46.

4. Jensen, E, Morrow, D, Murthy, N, Felmlee, J, Kaufman, K. Characterization of Three Dimensional Volumetric Strain Distribution during Passive Tension of the Human Tibialis Anterior. Journal of Biomechanics. 2016 Oct 3; 49(14): 3430-3436.

5. Go, S*, Jensen, E*, O’Connor, S, Evertz, L, Morrow, D, Ward, S, Lieber, R, Kaufman, K. Design Considerations of a Fiber Optic Pressure Sensor Protective Housing for Intramuscular Pressure Measurements. Annals of Biomedical Engineering. 2017 Mar; 45(3): 739-746. (*equal contribution)

6. Seiberl, W, Jensen, E, Merker, J, Leitel, M, Schwirtz, A. Accuracy and precision of loadsol® insole force-sensors for the quantification of ground reaction force-based biomechanical running parameters. European Journal of Sports Science. 2018 Sept; 18(8):1100-1109.

7. Shahriari, E, Johannsmeier, L, Jensen, E, Haddadin, S. Power Flow Regulation, Adaptation and Learning for Intrinsically Robust Virtual Energy Tanks. IEEE Robotics and Automation Letters. 2019 Nov 15;5(1):211-8.

8. Shahriari, E, Zardykhan, D, Koenig, A, Jensen, E, Haddadin, S. Energy-based Adaptive Control and Learning for Patient-Aware Rehabilitation. In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019 Nov 3 (pp. 5671-5678). IEEE.

  • Bio- and neuromechanical modelling (musculoskeletal and cardiovascular system)
  • Human-aware assistive robotics (intelligent rehabilitation robotics and neuroprostheses)