Carré

dr.ir. M. Abayazid (Momen)

Associate Professor
EEMCS-EE-RAM
Carré C3607
m.abayazid@utwente.nl
+31534898980
Business card

Momen Abayazid received his M.Sc. in Biomedical Engineering at Delft University of Technology and his PhD in surgical robotics at the University of Twente. In 2015, Momen Abayazid has been a postdoctoral research fellow Harvard Medical School and Brigham and Women’s Hospital, Boston MA, USA. He worked on several projects related to robotic image-guided needle insertion and motion compensation using machine learning. Since 2017 he has been faculty member as an assistant professor in the Robotics and Mechatronics group (RaM). He is involved in different projects related to Robotics for medical applications, Soft Robotics and image-guided interventions. He is also involved in teaching BSc and MSc courses such as Signals, Image processing and computer vision.

 

Google Scholar: https://scholar.google.com/citations?user=NCmEDAMAAAAJ

Research Gate: https://www.researchgate.net/profile/M_Abayazid

Expertise

  • Medicine and Dentistry

    • Endoscope
    • Evaluation Study
    • Tissues

  • Computer Science

    • Control
    • Robotics

  • Engineering

    • Modules
    • Pneumatics
    • Haptics

Organisations

Publications

2024
IRE made easy: introducing the robotic grid system for multiple parallel needle insertion in irreversible electroporation treatment (E-pub ahead of print/First online). Wardhana, G., Fütterer, J. J. & Abayazid, M.https://doi.org/10.1007/s11548-024-03216-wA Novel Rehabilitative Soft Robotics Knee Brace for ACL deficient patientsIn 2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE. Naghibi, H., Khambati, H., Ryolo, A. & Abayazid, M.https://doi.org/10.1109/HORA61326.2024.10550560Design Methodology for a 3D Printable Multi-Degree of Freedom Soft Actuator Using Geometric Origami Patterns, Article 2300666. Mak, Y. X., Dijkshoorn, A. & Abayazid, M.https://doi.org/10.1002/aisy.202300666Liver respiratory-induced motion estimation using abdominal surface displacement as a surrogate: robotic phantom and clinical validation with varied correspondence models (E-pub ahead of print/First online). Cordón Avila, A. & Abayazid, M.https://doi.org/10.1007/s11548-024-03176-1Deep Learning based acoustic measurement approach for robotic applications on orthopedics. ArXiv.org. Lan, B., Abayazid, M., Verdonschot, N., Stramigioli, S. & Niu, K.A comprehensive review of haptic feedback in minimally invasive robotic liver surgery: Advancements and challenges, Article e2605. Selim, M., Dresscher, D. & Abayazid, M.https://doi.org/10.1002/rcs.2605Liver-tumor mimics as a potential translational framework for planning and testing irreversible electroporation with multiple electrodes, Article e10607. Vera-Tizatl, A. L., van der Hee, R., Cornelissen, J., Vera-Tizatl, C. E., Abayazid, M. & Fütterer, J. J.https://doi.org/10.1002/btm2.10607
2023
Editorial: Translational research in medical robotics-challenges and opportunities, Article 1270823. Dagnino, G., Kundrat, D., Moreira, P., Wurdemann, H. A. & Abayazid, M.https://doi.org/10.3389/frobt.2023.1270823Irreversible Electroporation: Maximizing Treatment Efficacy Through Optimization Strategies and Robotic Assistance. University of Twente. Wardhana, G.https://doi.org/10.3990/1.97890365567503D Printed sensors and bio-electronics for robotic applications. University of Twente. Schouten, M.https://doi.org/10.3990/1.9789036556200Adaptive Control of a Soft pneumatic Actuator Using Experimental Characterization Data, Article 1056118. Mak, Y. X., Naghibi, H., Lin, Y. & Abayazid, M.https://doi.org/10.3389/frobt.2023.1056118
2022
Experimental Evaluation Using Head Motion and Augmented Reality to Intuitively Control a Flexible EndoscopeIn 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), Article 9925526 (pp. 1-7). IEEE. Mak, Y. X., Zegel, M., Abayazid, M., Mariani, M. A. & Stramigioli, S.https://doi.org/10.1109/BioRob52689.2022.9925526Design and Characterization of a Multiple Needle Insertion MRI-guided Robot for Irreversible Electroporation (IRE) TreatmentIn 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), Article 9925469 (pp. 1-6). IEEE. Wardhana, G., Mak, Y. X., Abayazid, M. & Fütterer, J. J.https://doi.org/10.1109/BioRob52689.2022.9925469Investigating the effect of electrode orientation on irreversible electroporation with experiment and simulation, 1399-1407. Wardhana, G., Raman, N. M., Abayazid, M. & Fütterer, J. J.https://doi.org/10.1007/s11548-022-02618-y
2021
Development of a 3D Printed Gap Gauge with Embedded Force Sensor for Balancing Unicompartmental Knee ArthroplastyIn 2021 IEEE Sensors, Article 9639727. IEEE. Kosmas, D., Schouten, M., Krijnen, G., Abayazid, M. & van Jonbergen, H.-P.https://doi.org/10.1109/SENSORS47087.2021.9639727A Novel Asymmetric Pneumatic Soft-Surgical Endoscope Design with Laminar JammingIn 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 4636-4640). IEEE. Mathur, N., Mak, Y. X., Naghibi, H. & Abayazid, M.https://doi.org/10.1109/EMBC46164.2021.9629888Development of a thermal model for irreversible electroporation: an approach to estimate and optimize the IRE protocols, 1325-1334. Wardhana, G., Almeida, J. P., Abayazid, M. & Fütterer, J. J.https://doi.org/10.1007/s11548-021-02403-3External force compensation in a tendon-driven flexible robotic endoscope using Cosserat Rod modeling. Hoitzing, W. B., Mak, Y. X. & Abayazid, M.Toward reliable automatic liver and tumor segmentation using convolutional neural network based on 2.5D models, 41-51. Wardhana, G., Naghibi, H., Sirmacek, B. & Abayazid, M.https://doi.org/10.1007/s11548-020-02292-yAutomatic trajectory planning for IRE treatment in liver tumours A numerical study. Wardhana, G., Vera Tizatl, A. L., Abayazid, M. & Fütterer, J. J.
2020
Development of Haptic Approaches for a Head-Controlled Soft Robotic EndoscopeIn 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020, Article 9224351 (pp. 1216-1222). IEEE. Mak, Y. X., Lanciano, A., Stramigioli, S. & Abayazid, M.https://doi.org/10.1109/BioRob49111.2020.9224351Development of a Soft Robotics Diaphragm to Simulate Respiratory MotionIn 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020, Article 9224282 (pp. 140-145). IEEE. Naghibi, H., van Dorp, J. & Abayazid, M.https://doi.org/10.1109/BioRob49111.2020.9224282Design of a respiratory motion compensation method for DEMCON's needle positioning system. University of Twente. Keulers, E. M.

Research profiles

Momen Abayazid is involved in teaching BSc and MSc courses such as Signals, Image processing and computer vision. Currently, he is a member of the Educational Quality Committee of Bachelor program of electrical engineering at the University of Twente. 

Affiliated study programs

Courses academic year 2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2022/2023

Momen Abayazid  is involved in different projects related to Robotics for medical applications, Soft Robotics and image-guided interventions.

Current projects

TERRINET

The European Robotics Research Infrastructure Network

The European Robotics Research Infrastructures Network (TERRINet) project aims at building a world-class network with harmonised services and complementary capabilities where talented researchers from academia and industry worldwide will have access and will be able to explore new ideas and establish personal and joint projects; to get in contact with and be inspired by leading and creative scientists, technologists, experts and industrial representatives; to share information and gain knowledge for boosting their scientific research and potential for technological innovation. The plan of TERRINet is to accomplish its vision by providing not only an organised and well orchestrated set of facilities, but also databases, tools and methodologies which will remain operational after the end of the project, so to provide a long-term service to Robotics science and industry in Europe and worldwide.

ASSIST

Automation, Surgery Support and Intuitive 3D visualization to optimize workflow in IGT SysTems

Current software image-guided therapy applications to assist the physician still require significant manual user interaction while all attention should go to the patient instead. The ASSIST project will develop technologies and solutions to get the physician back in control of the clinical procedure by assisting or automating part of the physician’s tasks during image-guided therapy procedures. The aim of the project is to optimise and simplify the workflow in image-guided therapy procedures with the main goal of streamlining physicians’ work, optimising imaging systems, improving patient outcomes, reducing human error and lowering costs.

IMPACT

Intelligence based iMprovement of Personalized treatment And Clinical workflow supporT

Healthcare faces many challenges like improving patient outcome and working more cost-effectively in the face of growing demand, declining staff capacity and the rapid succession of new clinical and technological developments. The IMPACT project will address these challenges by building on preceding ITEA projects like MEDIATE and BENEFIT to add the next logical step: from evidence-based towards intelligence-based healthcare. To achieve intelligence-based healthcare the IMPACT project will promote automatic data collection and artificial intelligence throughout the complete clinical pathway. To achieve intelligence-based healthcare the IMPACT project will promote automatic data collection and artificial intelligence throughout the complete clinical pathway, i.e., from hospitalization to patient release: 1. Personalized treatment planning for optimal treatment of each individual patient and thereby improve patient outcome and cost efficiency. This is only possible when all relevant data available is made available and analyzed intelligently using e.g. Artificial Intelligence, Machine Learning, Deep Learning, etc. 2. Industrialized treatment to reduce preventable medical error and improve predictability and efficiency of clinical procedures. Reproducibility is key which can be accomplished by robotic tools, real-time navigation imaging and strictly adhering to medical guidelines and protocols. 3. Workflow optimization at various levels (hospital, room, table side) to remove waste and inefficiency in the healthcare system. This is done by intelligent data-driven analysis (e.g. Deep Learning) considering all relevant data streams to take the right decision at the right moment concerning the patient, the staff and the equipment. The IMPACT consortium covers all healthcare stakeholders with a good balance between research-oriented partners, technology suppliers, industrial end-product suppliers and clinical end users. This project is part of European consortium that includes industrial, clinical and academic partners from the Netherlands, Sweden and Belgium.

MRI-guided Irreversible Electroporation

Image guided irreversible electroporation of cancerous tissue in a MRI environment

Finished projects

Soft Robotics

n percutaneous interventions for hepatic tumor treatment, organ motion caused by respiration can lead to inaccurate needle placement hence less effective therapeutic and diagnostic outcome. The aim of this project is to use soft robotics techniques to develop an actuated phantom that mimics respiratory motion in liver for needle insertion procedures.

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