Islam S. M. Khalil received his master’s and doctoral degrees in Mechatronics Engineering. He is currently an Associate Professor in the Robotics and Mechatronics (RaM) research group at the University of Twente and is also affiliated with Radboud University Medical Center and the Minimally Invasive Image-Guided Intervention Center (MAGIC), part of the Department of Radiology and Nuclear Medicine at Radboud University Medical Center in Nijmegen. He was previously a postdoctoral fellow in the RaM group for two years. After serving as the Director of the Medical Micro and Nanorobotics Laboratory at the German University in Cairo, Egypt, he held a position as an Assistant Professor in the Department of Biomechanical Engineering. His research interests include the modeling and design of motion control systems for soft microrobots, biologically inspired microrobots, mechatronic system design, and untethered magnetic micro/nanorobotics with applications in micro/nanomanipulation, microassembly, image-guided intervention, and targeted drug delivery.

Expertise
Physics
- Magnetic Field
- Permanent Magnet
- Electromagnetism
Engineering
- Microrobots
- Motion Control
- Actuator
- Robotics
- Robot
Organisations
Our research focuses on the development of wireless medical microrobots capable of navigating complex anatomical pathways to enable minimally invasive diagnosis and therapy. These tiny, untethered robotic systems are designed to swim through the vascular system and other fluidic environments to reach deep-seated or currently inaccessible regions of the human body. By combining magnetic actuation, AI-driven navigation, and real-time medical imaging, our goal is to offer a new class of medical interventions that are less invasive, more precise, and tailored to individual patients.
We work closely with vascular surgeons, oncologists, and gastroenterologists, ensuring a strong and dynamic match between engineering innovation and clinical needs. This close collaboration allows us to design robotic systems that directly address real-world medical challenges — from targeted cancer therapy and localized drug delivery to clot retrieval in complex vascular networks.
We envision a future in which surgery is guided by swarms of intelligent microrobots that can be controlled wirelessly from outside the body. These microrobots will navigate autonomously through patient-specific vascular maps, reaching precise targets that are currently difficult or impossible to access with catheters or surgical tools.
By integrating digital twin models, AI-based control algorithms, and advanced imaging technologies, we aim to give clinicians a new level of control and accuracy — enabling interventions that are faster, safer, and less traumatic for patients. In this vision, the operating room of the future is hybrid: combining the expertise of physicians and the precision of autonomous microrobotic systems.
Publications
2026
2025
2024
Research profiles

Courses academic year 2026/2027
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.
- 191211208 - Internship EE
- 193640010 - Capita Selecta BME
- 193640999 - Internship BME
- 193650999 - Masters Assignment
- 195799152 - Internship
- 201600187 - Individual Project
- 201800207 - Capita Selecta RaM
- 201800519 - Research assignment for exchange
- 201900223 - Capita Selecta Electrical Engineering
- 201900284 - Placement Course for Exchange Students
- 202000250 - Internship
- 202001162 - Bachelor Thesis EE
- 202001444 - Placement Course for Exchange EEMCS
- 202200116 - Capita Selecta Robotics
- 202200119 - Academic Skills Project
- 202200120 - Internship ROB
- 202200122 - MSc-Thesis Project
- 202300349 - Internship ROB / ME
- 202400318 - M12 BSc Assignment BMT
- 202500385 - Internship ROB / AM
- 202500419 - Project: From Nanodevices to Biorobotics
- 202500496 - MSc-Thesis Project ROB / EMSYS
Courses academic year 2025/2026
- 191211208 - Internship EE
- 193640010 - Capita Selecta BME
- 193640999 - Internship BME
- 193650999 - Masters Assignment
- 195799152 - Internship
- 201100179 - Graduation Project
- 201400462 - Internship S&C
- 201600187 - Individual Project
- 201800207 - Capita Selecta RaM
- 201800519 - Research assignment for exchange
- 201900085 - Nonlinear Control
- 201900223 - Capita Selecta Electrical Engineering
- 201900284 - Placement Course for Exchange Students
- 202000250 - Internship
- 202000670 - Bachelor Assignment
- 202001152 - Programming 2
- 202001162 - Bachelor Thesis EE
- 202001444 - Placement Course for Exchange EEMCS
- 202200104 - Control System Design for Robotics
- 202200108 - Software Development for Robotics
- 202200109 - Advanced Software Dev. for Robotics
- 202200116 - Capita Selecta Robotics
- 202200119 - Academic Skills Project
- 202200120 - Internship ROB
- 202200122 - MSc-Thesis Project
- 202300349 - Internship ROB / ME
- 202400318 - M12 BSc Assignment BMT
- 202400681 - AI- and Image-guided Robotics
- 202500385 - Internship ROB / AM
- 202500419 - Project: From Nanodevices to Biorobotics
- 202500496 - MSc-Thesis Project ROB / EMSYS
Courses academic year 2024/2025
- 191211208 - Internship EE
- 191211219 - Master Thesis Project
- 193640999 - Internship BME
- 195799152 - Internship
- 201100179 - Graduation Project
- 201400462 - Internship S&C
- 201600187 - Individual Project
- 201800207 - Capita Selecta RaM
- 201800519 - Research assignment for exchange
- 201900085 - Nonlinear Control
- 201900223 - Capita Selecta Electrical Engineering
- 201900284 - Placement Course for Exchange Students
- 202000250 - Internship
- 202000670 - Bachelor Assignment
- 202001152 - Programming 2
- 202001162 - Bachelor Thesis EE
- 202200104 - Control System Design for Robotics
- 202200108 - Software Development for Robotics
- 202200109 - Advanced Software Dev. for Robotics
- 202200116 - Capita Selecta Robotics
- 202200119 - Academic Skills Project
- 202200120 - Internship ROB
- 202200122 - MSc-Thesis Project
- 202300349 - Internship ROB / ME
- 202400318 - M12 BSc Assignment BMT
- 202400681 - AI- and Image-guided Robotics
Current projects

EU Horizon IRE Intelligent Robotic Endoscopes for Improved Healthcare Services
IRE
In Intelligent Robotic Endoscopes (IRE) for Improved Healthcare Services, we envision creating intelligent robotic solutions to perform colonoscopies, ensuring faster and less painful screenings for patients suffering from bowel cancer.

WCR-OTP Wireless Robotic Clot Retrieval for Vascular Intervention
WCR
The Wireless Robotic Clot Retrieval for Vascular Intervention (WCR) project aims to develop a first-of-its-kind, wireless robotic system to improve clot retrieval procedures. This technology offers a minimally invasive, highly maneuverable alternative to traditional catheter-based methods for treating vascular occlusions, with the untethered robot navigated using X-ray-guided magnetic fields to precisely target and remove clots responsible for strokes, heart attacks, pulmonary embolisms, and below-the-knee emboli.The project seeks to optimize and validate wireless robotics to advance patient outcomes and endovascular interventions.

MAGIC-AIM Magnetic Advanced Gastrointestinal Inspection and Control using Artificial Intelligence and Magnetic Navigation
MAGIC-AIM
MAGIC-AIM project aims for early and accurate noninvasive diagnosis of gastrointestinal disorders, with the goal of improving patient outcomes and reducing the need for invasive procedures. This will be achieved through an innovative platform that combines a magnetically guided capsule endoscope with artificial intelligence (AI) and extended reality (XR). Automated image analysis and precise navigation will enhance diagnostic accuracy and reduce the workload for clinicians. The project is a collaboration between HapMag B.V., the University of Twente, and the Medisch Spectrum Twente hospital, bringing together expertise in medical technology, academic research, and clinical care.The MAGIC-AIM system introduces a magnetically navigated capsule that can be precisely controlled in the GI tract. AI algorithms will automatically detect abnormalities in the imaging data, while XR technology will provide clinicians with an immersive, real-time 3D visualisation of the procedure. This integrated approach is designed to improve diagnostic precision, reduce errors, and support faster, more confident decision-making.

Steerable Video Capsule Endoscopy for Precision Diagnosis of Colorectal and Bowel Diseases
SCOPE
A remotely steerable video capsule is being developed to improve the diagnosis of bowel diseases such as colorectal cancer and inflammatory conditions. Unlike conventional capsules that move passively through the gastrointestinal tract, this capsule can be actively navigated using external magnetic fields. This enables targeted inspection and enhanced imaging, aiming to improve diagnostic accuracy and reduce unnecessary follow-up procedures. This project explores the societal impact, clinical implementation potential, and stakeholder involvement needed to bring this innovation closer to patients in real-world healthcare settings.

U-Fonds - A certified medical-grade wireless capsule navigation system
CERTICAP
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) signed an agreement for approximately €560,000 in funding from the Twente University Fund to develop a groundbreaking wireless capsule navigation system. The system is being developed together with Medisch Spectrum Twente (MST) and Radboudumc. The project is designed with real clinical needs in mind. The goal of the project is to make medical procedures safer, faster, and more precise.
Our work in medical microrobotics has attracted significant media attention through various dissemination activities. In 2025, we were awarded the University of Twente Media Award.


In the press
- University Fund Twente | The University of Twente has received a major boost for medical innovation
- University Fund Twente | Donation boosts UT research into retinal ageing and intestinal robotics
- UT Science Stories | The Next Iron Man Comes From Twente
- BBC | Robotic sperm: a promising future for infertility treatment
- VICE | Scientists Are Turning Sperm Cells into Trackable Microbots
- UT News | Future of fertility: controlling sperm bots
- American Institute of Physics | Using untethered microrobots to remove blood clots
- De Ingenieur | Magnetic robots remove blood clots
- Scientias | Dutch develop revolutionary microrobots that could potentially save many lives
- UT News | Magnetics microrobots remove blood clots from sheep iliac artery
- FOX NEWS | How tiny corkscrew robots could save lives by breaking up blood clots
- RTL News | Robot through your bloodsteam
- RD.nl | Dutch researchers let robot swim through blood vessel
- Oost | Robot for clearing blood clots
- ChemistryWorld | Suit of iron turns sperm cells into spermbots
- Innovation Origins | Wireless millirobots successfully navigate blood vessels, piercing blood clots along the way
- Innovation Origins | Millirobots on an adventure: wireless robots navigate arteries
- Kennispark Twente | Millirobots on an adventure: wireless millirobots successfully navigate arteries
- New Atlas | Clot-busting "millirobots" corkscrew their way through blood vessels
- NPO Radio | Michiel Warle - Interview Humberto
- Radboudumc | Magnetics microrobots remove blood clots from sheep iliac artery
- ICRA18 Finalist of Medical Robot Paper: Mechanical Rubbing of Blood Clots using Helical Robots

News on utwente.nl
Address

University of Twente
Carré (building no. 15), room C3605
Hallenweg 23
7522 NH Enschede
Netherlands
University of Twente
Carré C3605
P.O. Box 217
7500 AE Enschede
Netherlands