جستجوی استاد راهنمای دانشگاهی

Aafke Fraaije is a postdoctoral researcher at the Section Ethics & Philosophy of Technology , Faculty of Technology, Policy and Management , Delft University of Technology. Her work bridges art, ethics, and technology through interdisciplinary approaches to citizen engagement and responsible innovation. Institution: Delft University of Technology School: Faculty of Technology, Policy and Management Department: Section Ethics & Philosophy of Technology Academic Rank: Research Fellow Research Interests : Ethics of human-nature-technology relationships Art-based methods for public engagement with technology Participatory futuring in smart city development Inclusive approaches to technology governance Communication frameworks in clinical and engineering contexts Critical analysis of responsible research and innovation (RRI) Recent Research Trends : Her publications focus on using artistic practices (dance, theatre) to explore ethical implications of smart city technologies, developing frameworks for responsible innovation, and analyzing communication dynamics in high-stakes environments like surgery and robotics. Key themes include citizen participation in technological development, interdisciplinary methodologies, and ethical accountability across sectors.

• Ethics of Technology
• Responsible Innovation
• Citizen Engagement
• +۳ مورد دیگر

Mannes Poel is a researcher specializing in Datamanagement & Biometrics with a focus on applied machine learning. His work spans healthcare analytics, sensor technology optimization, and meta-learning frameworks for missing data. ORCID: 0000-0002-3813-9732 Active Domains : Artificial Intelligence, Medical Predictive Modeling, Industrial Sensor Analytics Collaboration Network : Interdisciplinary work with institutions in healthcare (e.g., Diagnostics journal) and engineering (e.g., IEEE MEMS conference) Scientific Achievements : Best paper award at Intetain 2107 (2017) Research Trends : His recent publications (2024-2025) emphasize explainable AI for missing data in clinical contexts and machine learning-enhanced sensor systems for industrial fluid dynamics. These works combine traditional ML with real-time data processing and cross-domain model adaptation.

• Artificial Intelligence
• Machine Learning
• Health Informatics
• +۳ مورد دیگر

Julie Legrand is an Assistant Professor in the Mechanical Engineering department at Eindhoven University of Technology , affiliated with the Group Van de Molengraft. Her work focuses on soft robotics , self-healing materials , and medical robotics applications . She designs actuators and sensors for adaptive robotic systems, emphasizing resilience through self-healing mechanisms and embodied intelligence. She teaches courses including Control of a Flexible Robot System , Haptics and Soft Robotics , and Robot-Arm , reflecting her expertise in both theoretical and applied robotics. Her research spans actuator design , material science integration , and minimally invasive surgical robotics , with notable contributions to self-healing actuator validation and continuum robot end-effectors for surgical applications. Legrand collaborates internationally on topics like shape memory alloys and anisotropic materials , and her work has been featured in media for breakthroughs in self-healing polymer limitations in soft robots. She actively contributes to the Medical Robotics research theme at TU/e, advancing interdisciplinary approaches to robotic systems in healthcare.

• Soft Robotics
• Actuators
• Self-Healing Materials
• +۴ مورد دیگر

Prof. Sarthak Misra is a Full Professor in Medical Robotics at the University of Groningen’s Faculty of Medical Sciences, affiliated with the University Medical Center Groningen (UMCG). He leads research in the Robotics and image-guided minimally-invasive surgery (ROBOTICS) group and the Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE) team. His work focuses on advancing medical robotics, microrobotics, and magnetic actuation technologies for surgical and biomedical applications. He holds an ORCID identifier and has published over 127 research outputs, including high-impact articles in journals like Advanced Materials Technologies and European Heart Journal . His research addresses challenges in minimally invasive surgery, soft robotics, and smart materials. Media engagements highlight his contributions to robotic surgery and addressing healthcare workforce shortages through automation. Research interests include: Microrobotics and fluidic systems Magnetic and acoustic actuation for medical devices Soft robotic systems for surgical applications Image-guided interventions 3D printing for biomedical robotics His recent articles emphasize innovations like MagNoFE3D printing and magnetic probes for endovascular interventions. Collaborations span global institutions, reflecting his interdisciplinary approach. No explicit awards are listed, but his extensive media coverage and 127+ publications underscore his impact. He is involved in grants, including OTP-funded projects, and mentors students in advanced robotics and medical engineering.

• Medical Robotics
• Surgical Robotics
• Microrobotics
• +۳ مورد دیگر

Giulio Dagnino is Associate Professor of Robotics and Mechatronics at the University of Twente and concurrently holds an appointment at the Digital Society Institute. His research integrates medical robotics, real-time perception and haptics to create MR-compatible platforms for endovascular surgery, earning an h-index of 17 and 971+ citations. Education & Career: PhD (details not specified in source) leading to faculty appointment at University of Twente. Promoted to Associate Professor with cross-appointments in Robotics & Mechatronics and Digital Society Institute. Research Interests: Prof. Dagnino’s core interest is medical robotic systems that can operate safely inside an MRI scanner. His work spans haptic guidance, real-time computer vision, soft robotic actuation, synthetic data generation and surgical simulation. By combining ferrofluid actuation, electromagnetic tracking and deep-learning-based scene understanding, he aims to reduce ionizing radiation exposure, enhance navigation accuracy and shorten procedure times for minimally invasive endovascular interventions. Publications Trend: Across 44 outputs (2010-2025) the portfolio reveals a clear evolution from early vision-based microsurgery and fracture-robot systems (2010-2016) toward holistic endovascular platforms integrating MR guidance, haptics and autonomy. Recent 2024-25 papers cluster around (i) synthetic data & scene understanding for surgical AI, (ii) MR-safe robot design and tracking, and (iii) translational studies bringing CathBot and related platforms closer to clinical use. Scientific Awards: Best Design Award – Hamlyn Symposium 2019 (with team) Best Innovation Award – ICRA 2018 Best Paper Award – CURAC 2019 IEEE ICRA Best Paper Award in Medical Robotics – 2016 Grants & Projects: Although explicit grant numbers are not listed, the continuous outputs, patents, multi-institutional collaborations (UK, Germany, Estonia, Canada) and press releases imply sustained funding from EU, Dutch and UK research councils as well as industrial partnerships. Labs & Teams: He leads activities within the Robotics and Mechatronics group at University of Twente, collaborates closely with the Digital Society Institute, and maintains international partnerships visible in co-authored papers with Imperial College London, University of Leeds, and several European hospitals.

• Medical Robotics
• Endovascular Robotics
• Computer Vision
• +۵ مورد دیگر

Islam S. M. Khalil is an Associate Professor in the Robotics and Mechatronics (RAM) research group at the University of Twente, holding dual affiliations within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) and the Faculty of Engineering Technology (ET). His educational background: Master's degree in Mechatronics Engineering Doctoral degree in Mechatronics Engineering Dr. Khalil's research centers on microrobotics with emphasis on motion control systems for soft and biologically-inspired microrobots. His work integrates magnetic field physics, propulsion mechanics, and mechatronic design principles to develop untethered micro/nanorobots. Key application domains include targeted drug delivery systems, precision microassembly, and micro/nanomanipulation techniques. His research bridges fundamental physics with biomedical engineering to solve complex challenges in minimally invasive procedures. He previously served as Director of the Medical Micro and Nanorobotics Laboratory at the German University in Cairo and completed a post-doctoral fellowship at the University of Twente's MIRA Institute. Currently, he contributes to the Surgical Robotics team within the Biomechanical Engineering department and the TechMed Centre.

• Microrobotics
• Magnetic Nanorobotics
• Motion Control Systems
• +۵ مورد دیگر

Prof. Dan van Eijk is a Professor at Delft University of Technology (TU Delft), affiliated with the Faculty of Industrial Design Engineering and the Department of Industrial Design Engineering. His work focuses on Human-Centered Design, Human Factors, and the integration of AI and XR (Extended Reality) into healthcare and technology. He has contributed to projects such as SPLASH, developing innovative bathing solutions, and has advised on cross-cultural surgical training using immersive technologies. Education details are not explicitly listed, but his research interests emphasize applying design principles to healthcare, mobility, and sustainability challenges. His recent publications explore XR-enhanced robotic surgery, smart environments, and VR prototyping for inflight lavatories. Prof. van Eijk holds ancillary roles as a consultant for organizations like Van Eijk Consultancy, Spark design & innovation, and Loughborough University. His work bridges academic research with practical applications in design innovation and human factors engineering. He teaches courses such as Packaging for Designers and Advanced Concept Design , fostering students' ability to create user-centric solutions. His research and consultancy activities reflect a commitment to advancing design methodologies in both academic and industrial contexts.

• Human-Centered Design
• Human Factors
• Design and AI
• +۶ مورد دیگر

Patricia Y.W. Dankers is a Full Professor of Biomedical Materials at Eindhoven University of Technology’s Department of Biomedical Engineering. She leads the DankersLab, focusing on functional biomaterials for regenerative medicine using supramolecular chemistry principles. Her academic journey includes a PhD in Chemistry (2006, TU/e) and a second PhD in Medical Sciences (2013, Groningen University). She held roles at SupraPolix, UMCG, and served as an assistant/associate professor before attaining her current rank. Her research emphasizes biomaterial design for tissue engineering, drug delivery, and antimicrobial surfaces. Education BSc/MSc in Chemistry (Biochemistry & Organic Chemistry), Radboud University (Nijmegen) PhD in Chemistry (2006, TU/e), supervised by Prof. E.W. Meijer Second PhD in Medical Sciences (2013, Groningen University) Research Interests Her work integrates supramolecular chemistry to create dynamic biomaterials for regenerative medicine. Key areas include hydrogel engineering, drug delivery systems, and bioactive surfaces. She explores applications in artificial organs, vascular grafts, and antimicrobial coatings. Recent innovations include soft robotic hybrid hearts and pH-responsive polymers. Grants & Awards ERC Starting Grant (2012) NWO Vidi Award (2017) Pauline van Wachem Award (Best Thesis in Biomaterials) Member of De Jonge Akademie (KNAW, 2015) Advising & Projects She oversees 82 supervised works and manages the 2024-2026 project: 'Novel preclinical development of drug-loaded hydrogel for metastasized ovarian cancer.' Courses taught include Biomaterials and Bio-organic Chemistry. Labs & Teams The DankersLab collaborates globally on biomaterials for kidney regeneration, cardiovascular devices, and drug delivery. Notable projects involve in situ tissue-engineered vascular grafts and antimicrobial hydrogels.

• Biomedical Materials
• Supramolecular Chemistry
• Regenerative Medicine
• +۳ مورد دیگر

Khe T. C. Tran is a surgical researcher at Erasmus University Medical Center in Rotterdam, Netherlands, specializing in hepatobiliary and pancreatic surgery with a strong focus on robotic and minimally invasive techniques. As a Researcher in the Department of Surgery, Tran actively contributes to advancing surgical methodologies and outcomes through rigorous clinical research. Dr. Tran's research interests span multiple critical areas in modern surgical practice, with particular expertise in robotic pancreaticoduodenectomy, liver resection techniques, and innovative transplantation approaches. The research portfolio demonstrates deep engagement with learning curve analysis in complex surgical procedures, quality assessment in surgical anastomoses, and expanding donor organ pools through domino transplantation strategies for metabolic disorders. Analysis of recent publications reveals a clear trend toward large-scale, multicenter collaborative studies examining the comparative effectiveness of robotic versus traditional laparoscopic approaches in hepatobiliary surgery. The research emphasizes practical clinical outcomes, risk factor identification, and systematic evaluation of surgical learning curves to improve patient safety and procedural success rates. Dr. Tran actively participates in major surgical research initiatives including the Dutch Pancreatic Cancer Group and Dutch Hepato Biliary Audit (DHBA), contributing to national surgical quality improvement efforts. The research output demonstrates significant collaboration with leading surgical centers both within the Netherlands and internationally, reflecting integration into broader surgical research networks. Current work focuses on refining robotic surgical techniques, particularly in pancreaticoduodenectomy and liver resection procedures, with emphasis on identifying critical learning curve milestones and developing objective assessment tools for surgical performance. The research program addresses important gaps in understanding the optimal implementation pathways for advanced surgical technologies in complex hepatopancreatobiliary procedures.

• Surgical Oncology
• Liver Transplantation
• Pancreatic Surgery
• +۵ مورد دیگر

Richard van Hillegersberg is a Full Professor of Gastrointestinal Oncology at the University Medical Center Utrecht. He completed his medical education and PhD at Erasmus MC in Rotterdam (1993) and specialized in General Surgery (1994-2000) before becoming a Surgical Oncology Fellow in Amsterdam (2001-2002). Since 2003, he has been a staff surgeon at UMC Utrecht and became a professor in 2009, focusing on Upper GI minimally invasive and robotic surgery, surgical imaging, and genetic profiling. Research Focus: His work centers on improving diagnostics, surgical techniques, postoperative recovery, and prognostic outcomes for esophageal and gastric cancer through interdisciplinary collaboration. Recent publications highlight trials like SANO and NODE, advancing organ preservation strategies and conversion surgery concepts. Scientific Awards & Grants: ZonMw Grant (€400,000) for cost-effectiveness of laparoscopic gastrectomy (LOGICA trial) Intuitive Clinical Research Grant for robotic surgery innovations Leadership & Editorial Roles: Chairman of the Educational Committee of the European Society for Diseases of the Esophagus (ESDE) Member of the education committee of ISDE Associate Editor for Digestive Surgery and Diseases of the Esophagus Contact: rhillege@umcutrecht.nl

• Gastrointestinal Surgery
• Robotic Surgery
• Surgical Oncology
• +۳ مورد دیگر

Leendert-Jan W. Ligtenberg is a Researcher in the Robotics and Mechatronics department at the University of Twente , affiliated with the TechMed Centre . His work focuses on medical robotics, particularly magnetic actuation and wireless control systems for endovascular and gastrointestinal applications. Research Areas : Robotics, Mechatronics, Magnetic Actuation, Biomedical Engineering. Collaborations : Radboud University Medical Center (2024-2025). Scientific Activity Trends : Recent publications highlight advancements in untethered magnetic robots for clinical settings, including X-ray-guided control, dynamic modeling of capsules, and hybrid thrombus fragmentation techniques. Subfields include fluoroscopy integration , gastrointestinal navigation , and medical device simulation .

• Robotics
• Mechatronics
• Medical Robotics
• +۳ مورد دیگر

Dr. Steffen Frey is an Assistant Professor in the Scientific Visualization and Computer Graphics group within the Bernoulli Institute at the University of Groningen's Faculty of Science and Engineering. He also maintains an affiliation with the Faculty of Medical Sciences/UMCG in the Robotics and image-guided minimally-invasive surgery (ROBOTICS) research group. His work bridges computer science with practical applications in medical and geoscientific domains. His research interests focus on scientific visualization, computer graphics, and interactive visualization techniques. Dr. Frey specializes in developing novel methods for flow estimation, temporal interpolation, parameter sensitivity analysis, and visualization of complex scientific data, particularly in porous media and fluid dynamics. His work often involves creating scalable solutions for big data visualization problems and applying visualization techniques to medical applications such as bone cement simulation. Analysis of his recent publications reveals a strong focus on machine learning approaches to scientific visualization, particularly in temporal interpolation and ensemble data analysis. His work combines traditional computer graphics techniques with modern deep learning methods to solve challenging visualization problems in scientific domains. The research demonstrates increasing sophistication in handling complex multi-dimensional datasets while maintaining interactive performance. 2019 IEEE Scientific Visualization Contest Winner Dr. Frey actively collaborates with researchers internationally, as evidenced by his co-authorship with scientists from various institutions worldwide. His work contributes to multiple Sustainable Development Goals, particularly those related to clean water and sanitation through his porous media flow research. He has supervised multiple students through research projects and thesis work, though specific names are not listed in the provided materials.

• Scientific Visualization
• Computer Graphics
• Flow Estimation and Interpolation
• +۷ مورد دیگر

Fons van der Sommen is an Associate Professor in Electrical Engineering at Eindhoven University of Technology, specializing in Video Coding & Architectures. He leads research on computer-aided detection systems for early cancer diagnosis, particularly focusing on esophageal and colorectal neoplasia through advanced AI and computer vision techniques. His research interests span medical image analysis, AI-assisted diagnostics, and developing robust systems for clinical deployment. Recent publications focus on overcoming real-world implementation challenges of AI in endoscopy and enhancing the trustworthiness of diagnostic systems. Recent research trends show strong emphasis on surgical AI applications (robot-assisted procedures), generative models for medical data augmentation, and quality assurance frameworks for clinical AI deployment. His work integrates deep learning with clinical validation across gastrointestinal and pulmonary oncology. TU/e Best PhD Thesis Award (2018) Best Poster Presentation (2017, 2013) He coordinates multiple research projects including TASTI-XECS221002 (Advanced AR for AI-based Servitization) and XL-ARGOS (extended reality solutions). Manages collaborations with medical centers on AI implementation for cancer screening.

• Medical Image Analysis
• Computer-Aided Diagnosis
• Artificial Intelligence
• +۲ مورد دیگر

Paul Breedveld is a Professor in Mechanical Engineering at Delft University of Technology, specializing in Medical Instruments & Bio-Inspired Technology. His research bridges engineering and clinical applications through innovative surgical instrumentation. His research portfolio spans: Bio-inspired surgical mechanisms (e.g., wasp-inspired needles) Steerable medical devices for minimally invasive procedures 3D-printed titanium surgical instruments Orthopedic implant innovation Hydraulic pressure wave technology for bone drilling Analysis of his 158 publications reveals a dominant focus on translational medical device development. Recent work demonstrates convergence of bio-inspired design principles with advanced manufacturing, particularly in creating flexible surgical instruments that navigate complex anatomical pathways. His 2025 publications emphasize steerable drill systems and nature-derived actuation mechanisms, addressing critical limitations in current surgical robotics. Professor Breedveld maintains significant public engagement through 5 press/media appearances discussing real-world implementation of bio-inspired medical technology, including coverage of the first clinical use of octopus-inspired mechanisms in laparoscopic surgery. His work has generated 10 research datasets and 16 patents, reflecting strong industry translation potential.

• Medical Instruments
• Bio-Inspired Technology
• Surgical Robotics
• +۵ مورد دیگر

Maarten Vermaas is a researcher in the Department of Surgery at Erasmus MC, a prominent academic medical center in the Netherlands. His work is centered on surgical oncology, particularly colorectal and hepatobiliary surgery, with a focus on evaluating surgical techniques and patient outcomes through large-scale national studies. His research interests span rectal cancer , liver resection , minimally invasive and robotic surgery , and national surgical audits . He actively contributes to evidence-based surgical practice by analyzing data from nationwide collaborations such as the Dutch Hepato Biliary Audit (DHBA), the Dutch Snapshot Research Group, and the PITS collaborative study group. The trends in his recent publications indicate a strong emphasis on comparative effectiveness of surgical approaches, risk stratification , and interhospital variability in treatment protocols. His work often employs advanced statistical methods such as propensity score matching and logistic regression to ensure robust conclusions from observational data. While no specific scientific awards are listed, his frequent contributions to high-impact surgical journals reflect recognition within the surgical research community. His research is supported by collaborative national networks, suggesting involvement in large-scale grants and multi-center initiatives. He mentors and collaborates extensively through national research consortia, though no formal advisees are listed. His work is conducted within structured research teams focused on gastrointestinal oncology and surgical quality improvement, contributing to clinical guidelines and best practices in Dutch and potentially international surgical communities.

• Surgical Oncology
• Colorectal Surgery
• Hepatobiliary Surgery
• +۸ مورد دیگر