Maryam Rezayati

Arbeit an der ZHAW

Tätigkeit

• Co-Leitung MindLab
• Doktorandin der Datenwissenschaften

Aus- und Weiterbildung

Weiterbildung

• Doktorandin der Datenwissenschaften
  Universität Zürich und Zürcher Hochschule für Angewandte Wissenschaften
  12 / 2025
• M.Sc. in Mechatronik
  Universität Isfahan
  02 / 2017
• B.Sc. in Robotics Engineering
  Technische Universität Hamadan
  09 / 2014

Netzwerk

ORCID digital identifier

ORCID ID: 0000-0003-3814-7270

Social Media

Linkedin

Projekte

• PRIME – Process Refinement for Improved Manufacturing Efficiency / Teammitglied / laufend
• Human-Robot Teaming Cobotic Base Cell for Industrial Applications / Projektleiter:in / abgeschlossen
• SmartSenseAI / Projektleiter:in / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Rezayati, M., Park, K. M. and van de Venn, H. W. (2026) 'Learning-based contact interpretation : a transferable skill for robots', IEEE/ASME Transactions on Mechatronics. doi: 10.1109/tmech.2026.3702250.
• Mohammadi Amin, F. et al. (2020) 'A mixed-perception approach for safe human–robot collaboration in industrial automation', Sensors, 20(21), p. 6347. doi: 10.3390/s20216347.

Schriftliche Konferenzbeiträge, peer-reviewed

• Hehli, J. et al. (2025) 'Multi-class human/object detection on robot manipulators using proprioceptive sensing', in 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE). IEEE, pp. 676–683. doi: 10.1109/case58245.2025.11163925.
• Rezayati, M. et al. (2022) 'Improving safety in physical human-robot collaboration via deep metric learning', in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/ETFA52439.2022.9921623.
• Fathi, K., Rezayati, M. and van de Venn, H. W. (2022) 'Human-robot contact detection in assembly tasks', in 2022 7th International Conference on Mechanical Engineering and Robotics Research (ICMERR). IEEE, pp. 224–230. doi: 10.1109/ICMERR56497.2022.10097827.

Weitere Publikationen

• Song, D. et al. (2025) Tactile gesture recognition with built-in joint sensors for industrial robots. arXiv. doi: 10.48550/arxiv.2508.12435.
• Rezayati, M., Park, K. M. and van de Venn, H. W. (2025) Learning-based contact interpretation with LSTM networks : a transferable skill for robots. TechRxiv. doi: 10.36227/techrxiv.174742058.83011810/v1.

Publikationen vor Tätigkeit an der ZHAW

• M. Malekzadeh, M. Rezayati, M. Saboohi, “Hardware-in-the-loop attitude via a high-order sliding mode controller-observer”, Journal of Aerospace Engineering, 2017
• M. Malekzadeh, M. Saboohi, M. Rezayati, “Designing Nonlinear Robust Controller for Spacecraft Attitude Control Subsystem Simulator”, Tabriz Journal of Mechanical Engineering, 2017
• Rezayati M, Darabi K, “Simulation of 23DOF Upper Limb Rehabilitation Robot”, 24th Annual International Mechanical Engineering Conference, 2016.
• M. Malekzadeh, M. Rezayati, M. Saboohi, H. Shahbazi, N. Sarafnia, “Design of Nonlinear PID and Optimized PID Controller on the Spacecraft Attitude Control Subsystem Simulator”, 24th Annual International Mechanical Engineering Conference, 2016.
• H. Shahbazi, M. Rezayati, “Design and Manufacture of navigation device for blind individuals”, Third National and First International EMME Conference, 2015

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