Professorial Faculty
Technical University of Munich

Prof. Dr. Mohammad Ali Nasseri

Professorship

Medical Autonomy and Precision Surgery (MAPS)

School

TUM School of Medicine and Health

Contact Details

Business card at TUMonline

Academic Career and Research Areas

Prof. Nasseri’s (*1981) field of research includes surgical robotics and surgical intelligence with a focus on surgical mechatronics, medical imaging, medical visualization, and medical AI.

Prof. Nasseri is the founding director of the Medical Autonomy and Precision Surgery (MAPS) Laboratory at the School of Medicine and Health. In 2024, he was appointed to the professorship for surgical robotics at TUM while also holding an adjunct professorship in the Department of Biomedical Engineering at the University of Alberta.

    Awards

    • Best Medical Robotics Paper Award – Finalist. (ICRA 2024)
    • Coordinator and Co-I: ForNeRo project supported by the state of Bavaria (~EUR 2M) (2024)
    • Best short paper award, Medical Visualization VCBM (2019)
    • Best student paper award for my student: Sasan Matinfar, Medical Sonification MICCAI (2017)
    • Robot Dalen Innovation Award; Robot-assisted microsurgery (2015)

    Key Publications (all publications)

    Alikhani A., Inagaki S., Dehghani S., Maier M., Navab N. and M. Ali Nasseri: Envibroscope: Real-Time Monitoring and Prediction of Environmental Motion for Enhancing Safety in Robot-Assisted Microsurgery (ICRA 2024).

    Dehghani S., Sommersperger M., Saleh M., Alikhani A., Busam B., Gehlbach P., Iordachita I., Navab N. and M. Ali Nasseri. Colibri5: Real-Time Monocular 5-DoF Trocar Pose Tracking for Robot-Assisted Vitreoretinal Surgery (ICRA 2024).

    Zhao, Z., Faghihroohi, S., Yang, J., Huang, K., Navab, N., Maier, M., & Nasseri, M: Unobtrusive biometric data de-identification of fundus images using latent space disentanglement. Biomedical Optics Express, 14(10), 5466–5483. (2023).

    Abstract

    Yang, J., Zhao, Z., Shen, S., Zapp, D., Maier, M., Huang, K., Navab, N., & Nasseri, M: EyeLS: Shadow-Guided Instrument Landing System for Target Approaching in Robotic Eye Surgery. IEEE Robotics and Automation Letters. (2024).

    Abstract

    Inagaki S., Alikhani A., Navab N., Maier M. and M. Ali Nasseri: Analyzing Accessibility in Robot-Assisted Vitreoretinal Surgery: Integrating Eye Posture and Robot Position. (2024).

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