Krunal Jagdishbhai Koshiya

PhD Student

Ph.D. Advisors: Prof. Paul Motzki and Prof. Gianluca Rizzello

Address:
c/o ZeMA - Zentrum für Mechatronik und Automatisierungstechnik gGmbH
Eschberger Weg 46, Gewerbepark Gebäude 9
66121 Saarbrücken
Germany

Mail: krunal.koshiya(at)imsl.uni-saarland.de

Telephone: -

 

Education

  • 2022 - Master's Degree in Embedded Systems, Universität des Saarlandes, Saarbrücken, Germany
  • 2018 -  Bachelor's Degree in Mechatronic Engineering, Gujarat Technological University, Gujarat, India

Research

Research Project

  • Self-Sensing and Control of Shape Memory Alloy Actuators based on Machine Learning techniques

Research Interests

  • Development of smart material based embedded systems
  • Self-sensing in Dielectric Elastomer Actuators (as well as Shape Memory Alloy Actuators
  • Self-sensing based closed loop control

Scientific Publications

Peer-Reviewed Journal Papers

  1. K. Koshiya, G. Rizzello, and P. Motzki, “A Neural Network-Based Self-Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators,” Advanced Intelligent Systems, vol. 8, no. 4, p. e202501204, Apr. 2026 (DOI: 10.1002/aisy.202501204).

International Conference Proceedings

  1. K. Koshiya, G. Rizzello, and P. Motzki, “Neural Network-Based Sensorless Control of a Shape Memory Alloy Actuator," in ASME 2024 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2024, pp. 1-6.
  2. K. J. Koshiya, V. Naumov, T. Gorges, G. Rizzello, and P. Motzki, “Self-sensing in spring-loaded SMA actuators using artificial neural networks," in International Conference and Exhibition on New Actuator Systems and Applications ACTUATOR 24, 2024, pp. 108-111.
  3. K. J. Koshiya, G. Rizzello, and P. Motzki, “An Embedded System for Data-Based Self-Sensing in Shape Memory Alloy Wire Actuators," in ASME 2023 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2023, p. V001T04A002 (DOI: 10.1115/SMASIS2023-110385).
  4. K. Koshiya, S. Gratz-Kelly, P. Motzki, and G. Rizzello, “An Embedded Self-Sensing Motion Control System for Strip-Shaped Dielectric Elastomer Actuators," in Electroactive Polymer Actuators and Devices (EAPAD) XXV, 2023, p. 124820I (DOI: 10.1117/12.2657131).