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نمایش ۱-۱۵ از ۷۸۳ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Massimo Mischi is a Full Professor at the Faculty of Electrical Engineering of the Eindhoven University of Technology (TU/e) and chairs the Signal Processing Systems (SPS) Division , the largest division at TU/e with over 250 researchers. He founded the Biomedical Diagnostics (BM/d) Lab in 2012, which now includes 180 researchers and clinical/industrial advisors, focusing on biomedical signal processing for diagnostics and monitoring.
Dr. Peter J.F. Lucas is a Full Professor specializing in Datamanagement & Biometrics with over 35 years of experience in artificial intelligence, probabilistic graphical models, and clinical decision support systems. His research spans intelligent systems, machine learning, and eHealth, with a focus on applying Bayesian networks and probabilistic logic to medical and non-medical domains.
استادیار
Qian Tao is an Assistant Professor at the Department of Imaging Physics , Faculty of Applied Sciences , Delft University of Technology . She previously worked at the Division of Image Processing, Department of Radiology, Leiden University Medical Center from 2009 to 2020. Academic Background: BSc in Electrical Engineering (Fudan University), MSc in Biomedical Engineering (Fudan University), PhD in Biometric Authentication (University of Twente) Research Interests: Focus on trustworthy AI methodologies for critical healthcare applications, including medical imaging for patient diagnosis and clinical intervention. Specializes in cardiac MRI analysis, image-guided interventions for cardiac arrhythmias, and AI in Radiology. Publication Trends: Recent work emphasizes motion correction in cardiac MRI, deep learning for image registration, and novel techniques like TRAFF2 mapping. Keywords include Medical Imaging , Machine Learning , Cardiac MRI , and Quantitative Analysis . Contact: Email: Q.Tao@tudelft.nl
Michel Versluis is a Full Professor at the University of Twente, Netherlands, specializing in Physical and Medical Acoustics within the Physics of Fluids group. His work focuses on microbubbles and microdroplets for medical imaging and therapy, as well as microfluidic applications in medicine and nanotechnology. University of Twente, Physics of Fluids group His research bridges physics and biomedical engineering, with publications in high-impact journals like PNAS and IEEE Transactions. Recent work emphasizes ultrasound-driven microbubble dynamics, additive manufacturing of flow phantoms, and deep learning for super-resolution imaging. 2025 publications: vascular phantoms, PROTEUS simulator, acoustic microbubble control 2024 innovations: 3D-printed medical devices, immunogenic cell death optimization Contact: m.versluis@utwente.nl
Mathieu Odijk is a Full Professor at the University of Twente's Faculty of Science and Technology, leading the Integrated Devices and Systems department. His research focuses on microfluidic systems, catalysis, and organ-on-chip platforms, with contributions to UN Sustainable Development Goals through advanced material characterization and biomedical engineering. He has authored over 120 publications and holds an h-index of 27 with 1,820 citations. Expertise: Microfluidics, catalyst particle diagnostics, SERS substrates, organ-on-chip systems, and spectroscopic techniques. Collaborations include Weckhuysen (catalysis), van den Berg (microfluidics), and Meirer (materials science). Key projects: Modular organ-on-chip platforms (STARTER), droplet-based catalyst screening, and real-time reaction monitoring via ATR-IR systems. His research combines nanotechnology and chemical engineering to develop tools for sustainable energy, environmental remediation, and biomedical applications. Recent work includes microreactors for catalyst particle analysis, light-driven urea oxidation for wearable kidney devices, and standardized platforms for organ-on-chip research.
دانشیار
Detmer Sipkema is an Associate Professor at Wageningen University & Research, affiliated with the VLAG WIMEK faculty and the Department of Molecular Ecology. His research focuses on microbial ecology, marine biology, and biotechnology, particularly in aquaculture systems and sponge symbionts. He leads projects on metabolic modeling of marine bacteria, ecological impacts of seaweed farming, and probiotics development for aquaculture. Key research interests include microbial diversity, anaerobic digestion in aquaculture waste, and applications of artificial intelligence in microbial studies. He has supervised multiple PhD candidates exploring topics like microbial symbiosis, gut microbiota dynamics, and sustainable aquaculture practices. His work integrates multi-omics approaches, environmental microbiology, and bioprospecting for novel bioactive compounds. Sipkema has published widely on sponge microbiomes, anaerobic processes, and aquaculture sustainability. His datasets include bacterial community analyses from sponges and microalgae, contributing to understanding symbiotic relationships and biotechnological applications.
Jan C.M. van Hest is a Full Professor at Eindhoven University of Technology (TU/e), holding positions in the Department of Chemical Engineering and Chemistry and the Institute for Complex Molecular Systems (ICMS) . He leads research at the intersection of polymer chemistry and biomedicine, focusing on bio-inspired materials, nanomedicine, and artificial cells. His work includes developing synthetic vaccines, drug delivery systems, and adaptive nano/microcompartments mimicking cellular functions. Academic Background : Ph.D. in macro-organic chemistry from TU/e (1996), postdoc at the University of Massachusetts (protein engineering), and industry roles at DSM (1997–2000). Since 2016, he has held the Bio-organic Chemistry chair at TU/e, supervising over 30 PhD students and co-founding startups like Encapson and Noviosense. Research Highlights : His research spans nanomedicine (e.g., polymersomes for cancer treatment) and artificial cells (e.g., synthetic organelles). Recent work includes therapeutic nanovaccines and self-propelled platinum-loaded stomatocytes. His publications span Nature Nanotechnology , Nature Chemistry , and Angewandte Chemie . Awards & Collaborations : Recipient of the ERC Advanced Grant (2015) and NWO Gravitation Grant (2013). Partnerships with GSK, Zoetis, and industry initiatives like the TKI-LSH EUREKA project. Engages in education through courses like Biochemistry and Introduction to Chemistry & Chemical Technology. Labs & Teams : Core member of ICMS, leading interdisciplinary projects in functional molecular systems. Active in training the next generation of researchers through postgraduate programs like ICMS PTN.
Sveta Zinger is a Full Professor in context-informed dynamic image analysis for clinical decision support at Eindhoven University of Technology (TU/e). She holds affiliations with the Biomedical Diagnostics Lab, NeuroPlatform, and EAISI Health. Her research focuses on medical image/video analysis, temporal data analysis, and machine learning for clinical applications. She has led projects funded by ZonMw, NWO, Philips, and others. She is also Co-Editor-in-Chief of Computer Methods and Programs in Biomedicine and serves on the Vidi committee for NWO. Education: MSc (2000) from Dnepropetrovsk State University; PhD (2004) from École Nationale Supérieure des Télécommunications, France. Postdoctoral roles at the French Atomic Agency and University of Groningen. Research Projects: Includes FORSEE (video monitoring for adverse events in healthcare) and NEUROTREND (fMRI biomarkers for depression). Awards: Second place in the CAMELYON17 challenge for metastases detection. Her teaching includes courses on DSP fundamentals, medical image processing, and cognitive neuroscience. She collaborates with clinical and industrial partners to advance biomedical diagnostics and healthcare technology.
استادیار
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.
Carlijn Bouten is Full Professor of Cell-Matrix Interactions in Cardiovascular Regeneration at Eindhoven University of Technology. She leads the Soft Tissue Engineering & Mechanobiology group, investigating cellular interactions with extracellular environments in tissue growth, adaptation, and regeneration. Her research develops biodegradable heart valve prostheses that enable in vivo tissue regeneration, applying tissue engineering approaches to cardiovascular medicine. Professor Bouten holds an MSc from Vrije Universiteit Amsterdam and a PhD from TU/e. She completed postdoctoral research at Université Laval and University of London before joining TU/e's faculty. She directs the national Gravitation program 'Materials-Driven Regeneration' and received an ERC Advanced Grant for cardiac tissue organization research. Research Focus: Her interdisciplinary program spans: Mechanobiological cues in tissue regeneration Development of living heart valve replacements Advanced biomaterials for cardiovascular applications In vitro models for tissue development Soft robotic systems for cardiac assistance Recent publications demonstrate innovations in biohybrid devices, standardized biomaterial testing, and novel tissue patterning techniques. Her work integrates engineering, materials science, and clinical translation through collaborations with medtech spin-offs. Leadership and Recognition: Fellow of the European Alliance for Medical and Biological Engineering President-elect of the Heart Valve Society Member of AcademiaNet for Outstanding Female Scientists Recipient of NWO VICI grant and Aspasia award She leads multinational consortia in regenerative medicine and teaches courses on heart/blood physiology and regeneration. Her lab develops model systems spanning cellular to tissue levels to quantify mechanobiological processes.
Tos T.J.M. Berendschot is a University Researcher in Biomedical Engineering at Eindhoven University of Technology , specializing in Medical Image Analysis . His work spans interdisciplinary domains linking diabetes, neurodegeneration, and ophthalmology. Email: t.t.j.m.berendschot@tue.nl Research Interests focus on diabetic complications, retinal neurodegeneration, and AI-driven medical imaging. Key areas include: Maturity Onset Diabetes of the Young (MODY) Microvascular dysfunction Advanced Glycation End-Products (AGEs) Retinal vascular tree analysis Keratoconus detection via AI Optical Coherence Tomography (OCT) Selected Publications highlight AI applications in ophthalmology, diabetic neurodegeneration, and vascular connectivity studies. Collaborations include Maastricht University Medical Center and international conferences in computer vision. Media Contributions feature expert commentary on cataract surgery, keratoconus, Alzheimer's disease biomarkers, and intraocular lens calculations.
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.
Prof. Freek J. Beekman is a Full Professor and head of the Biomedical Imaging section within the Department of Radiation Science & Technology at Delft University of Technology (TU Delft), Faculty of Applied Sciences. He is a leading figure in biomedical imaging, with extensive contributions to nuclear imaging technologies, including SPECT, PET, and CT. His research spans detector development, image reconstruction algorithms, hybrid photonic imaging, and the application of artificial intelligence in medical imaging. Research Interests: His work focuses on advancing imaging modalities through innovations in hardware (e.g., multi-pinhole collimators) and software (e.g., deep learning for attenuation correction). He has pioneered ultra-high-resolution imaging systems, particularly for preclinical and clinical SPECT, and has developed integrated platforms like U-SPECT-BioFluo. His recent research explores glymphatic delivery of nanoparticles, infection imaging, and AI-driven reconstruction techniques, reflecting a strong translational focus. Publication Trends: His most recent publications (2021–2023) emphasize deep learning in SPECT, multi-isotope imaging, high-resolution ex vivo systems, and applications in neuroimaging and oncology. The articles demonstrate a consistent focus on improving image quality, resolution, and clinical utility through physics-informed and AI-enhanced methods. Scientific Awards: NWO Physics Valorization Prize Innovation of the Year Award by the World Molecular Imaging Society (2015, 2018) Edward Hoffman Memorial Award (2017) Bruce Hasegawa Memorial Award (2021) FOM Valorization Award (2013) TU Delft Entrepreneurial Award (2010) Advising and Grants: While specific student names are not listed, his leadership in large collaborative projects and supervision of numerous publications suggests active mentoring. He has secured significant funding through national and international grants, evidenced by his invention of over 20 patent families and successful technology transfer. His founding and leadership of MILabs BV (sold to Rigaku) highlights his impact on commercialization and industry-academia collaboration. Labs and Teams: He leads the Biomedical Imaging research group at TU Delft, which develops cutting-edge imaging systems such as VECTor (SPECT-PET) and EXIRAD-HE. His teams have produced technologies used globally in academic and pharmaceutical research, contributing to tracer development and therapeutic innovation.
Anna Vilanova is a Full Professor in Visual Analytics at the Department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), and is associated with the Electrical Engineering department's Signal Processing Systems. Previously, she served as Associate Professor at TU Delft (2013-2019) and Assistant Professor at TU/e (2002-2013). Her research focuses on Visual Analytics for high-dimensional data , explainable AI , and biomedical applications including Diffusion Weighted Imaging, 4D Flow, and Pangenomics. Education: Doctorate in Computer Graphics & Visualization (2001) Master in Computer Science (1997), Universitat Politècnica de Catalunya Research Highlights: Vilanova leads work on Visual Analytics systems for biomedical data, with recent publications in Diffusion MRI modeling , Tractography visualization , Explainable AI frameworks , and Pangenomic variant analysis . Her work bridges dimensionality reduction , uncertainty visualization , and medical imaging applications. Scientific Contributions: NWO-Veni grant (2005): "Visualization of global tensor information for diffusion tensor imaging" NWO-Aspasia grant (2013) Best Poster Award EuroVis (2025) Best Demo/Poster Awards (2022) Leadership & Service: Vilanova serves on the IEEE VIS Steering Committee , was EUROGRAPHICS President (2019-2022), and contributes to conferences like IEEE Visualization and EG-EuroVis . She co-founded the EAISI Health research initiative at TU/e.
Michael Levin is a Distinguished Professor at Tufts University in the Department of Biology within the School of Arts and Sciences. He serves as Director of both the Allen Discovery Center at Tufts University and the Tufts Center for Regenerative and Developmental Biology. His laboratory investigates the intersection of developmental biology, artificial life, bioengineering, synthetic morphology, and cognitive science. Allen Discovery Center at Tufts Tufts Center for Regenerative and Developmental Biology Tufts/UVM: ICDO Harvard Wyss Institute Stibel Dennett Consortium for Brain and Cognitive Science The Proteus Institute MIT Science and Technology Center EBICS Levin's research focuses on understanding diverse intelligence in evolved, designed, and hybrid complex systems. His lab combines developmental biophysics, computer science, and behavioral science to study how cognition scales up from cellular competencies to organism-level behaviors. A key specialty is developmental bioelectricity—the study of how somatic electrical networks store, process, and act on information to control large-scale body structure. His team creates tools to read and edit the bioelectric code guiding proto-cognitive computations in the body. Levin's publications reveal a strong focus on bioelectricity, morphogenesis, and non-neural cognition across multiple model systems including Xenopus, planarians, and synthetic living constructs. His recent work explores collective intelligence as a unifying concept across biological scales, the development of microfluidic devices for measuring electrical connectivity, and optical estimation of bioelectric patterns in living embryos. His research spans fundamental developmental mechanisms to potential biomedical applications in regeneration and disease treatment. As an editor, Levin serves as Co-Editor-in-Chief of Bioelectricity and Founding Associate Editor of Collective Intelligence. He has mentored numerous post-doctoral fellows and graduate students who have gone on to establish their own research programs. His lab has received significant attention for creating novel biological machines (xenobots) and demonstrating that cells can store and transmit behavioral memory outside the brain. The Levin Lab maintains several significant research initiatives including the Allen Discovery Center at Tufts, the Tufts Center for Regenerative and Developmental Biology, and collaborations with the Wyss Institute at Harvard. The lab employs a multidisciplinary approach combining wet lab experiments with computational modeling to investigate how living systems achieve goal-directed behavior and pattern formation.
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