جست‌وجوی استاد و پژوهشگر

E.S. Kooijمشاهده پروفایل

دانشیار

• Nanomaterials
• Surface Science
• Material Science
• +۴ مورد دیگر

E.S. Kooij is an Associate Professor at the University of Twente's Faculty of Science and Technology, affiliated with the MESA+ Institute and the Physics of Interfaces and Nanomaterials department. Their research focuses on nanomaterials, surface science, fluid dynamics, and biomedical applications. Kooij has published extensively since 2001, with over 255 peer-reviewed articles and two scientific awards. Key research interests include wetting phenomena, membrane separation, polymer science, and soft robotics. Recent work explores surfactant-laden films, 3D-printed soft sensors, and bionic prosthetic design. Collaborations span multiple countries, emphasizing interdisciplinary innovation in materials and biomedical engineering. Notable achievements include the Hellenthal Prize (2012) and contributions to clinical studies on treatment outcome communication. Kooij actively participates in conferences, presenting on topics like hygro-expansion measurement and exoskeleton control strategies. Their work bridges fundamental materials science with applied technologies for healthcare and robotics.

Daniel Sieberمشاهده پروفایل

مدرس

• Medical Technology
• Health Technologies
• Surgical Simulation
• +۶ مورد دیگر

Dr. Daniel Sieber serves as Head of the Department and Study Programs in Medical, Health, and Sports Technologies at MCI | The Entrepreneurial School®. He holds a Dr. rer. biol. hum. (Summa Cum Laude) from Hannover Medical School and a Dipl.-Ing. in Mechanical Engineering (Biomedical Engineering) from the University of Stuttgart. His academic roles include full-time lecturer and researcher with a clinical-medical focus. Research Interests: Dr. Sieber specializes in medical technologies, particularly focusing on surgical simulation using virtual reality (VR), cochlear implant innovation, minimally invasive surgery techniques, and 3D printing applications in healthcare. His work bridges engineering and medicine, emphasizing translational research and interdisciplinary education. Teaching & Leadership: He leads courses in Medical Technologies, Product Development, and Implantable Devices at MCI. Recent activities include visiting professorships in Shenzhen, China, and supervising over 20 bachelor's and master's theses in medical device engineering and surgical training technologies. Key Awards: 2023 MCI Teaching Award Patents: Includes designs for cochlear implant electrodes and surgical tools Networks: Member of Tyrol's Life Sciences Cluster Advisory Board Grants & Labs: His research has driven partnerships with institutions like Hannover Medical School and MED-EL GmbH. Active in developing VR surgical training platforms and digital twins for healthcare systems.

Doran S. Mixمشاهده پروفایل

دانشیار

• Vascular Surgery
• Aortic Aneurysms
• Minimally Invasive Surgery
• +۴ مورد دیگر

Doran S. Mix, M.D., is an Associate Professor of Vascular Surgery at the University of Rochester School of Medicine and Dentistry and holds a joint appointment as Research Assistant Professor at Rochester Institute of Technology. He serves as Director of Research for the UR Medicine Division of Vascular Surgery and leads the Cardiovascular Engineering Lab, focusing on abdominal aortic aneurysm (AAA) research through ultrasound imaging and 3D printing. His clinical expertise includes complex minimally invasive vascular procedures, aortic aneurysms, carotid artery stenting, and infected arterial grafts. Education: Bachelor's in Computer Engineering from Rochester Institute of Technology (RIT), followed by an M.D. from University of Rochester School of Medicine with Distinction in Research. Completed vascular surgery residency and an endovascular neurosurgery fellowship at Mayo Clinic. Research: The Cardiovascular Engineering Lab develops novel ultrasound techniques and 3D-printed models to assess AAA rupture risk and optimize patient-specific treatments. Collaborators include experts in biomedical engineering, echocardiography, and surgical outcomes analysis. Key projects include predicting aneurysm growth via strain analysis and improving endovascular repair techniques. Awards: Over 20 honors including the Paul Schloerb Award for Critical Care, Arnold P. Gold Humanism Award, and multiple research fellowships. Active in national vascular surgery conferences and peer-reviewed publications. Labs/Teams: Leads the Cardiovascular Engineering Lab with co-investigators Michael Richards (RIT), Karl Schwarz (echocardiography), and Michael Stoner (vascular surgery chief). Collaborates with interdisciplinary teams on translational cardiovascular research.

John Hansenمشاهده پروفایل

استاد

• Speech Processing
• Speaker Recognition
• Human-Computer Interaction
• +۷ مورد دیگر

John H.L. Hansen is a distinguished academic and researcher, currently serving as the Associate Dean for Research and Professor of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas (UTD). He also holds the Distinguished University Chair in Telecommunications Engineering and has a joint appointment in the School of Behavioral and Brain Sciences (Speech & Hearing). His research focuses on robust speech processing, speech enhancement, speaker recognition, and human-computer interaction. He founded the Center for Robust Speech Systems (CRSS) at UTD, which is dedicated to interdisciplinary research in speech processing and language technology. Education: Ph.D. in Electrical Engineering (Georgia Tech, 1988) M.S. in Electrical Engineering (Georgia Tech, 1983) B.S. in Electrical Engineering (Rutgers University, 1982) Research Interests: Dr. Hansen's work spans digital speech processing, speaker trait assessment, speech pathology, and robust speech recognition in adverse conditions such as noise and stress. His contributions include advancements in cochlear implant technology, in-vehicle speech systems, and historical audio recovery (e.g., NASA Apollo missions). Awards & Recognition: IEEE Fellow (2007) ISCA Fellow (2010) Acoustical Society of America 25 Year Award (2010) Recipient of Whitaker Foundation and NSF Awards Grants & Collaborations: He has secured over $12M in external funding from NSF, DARPA, and industry partners like Texas Instruments and IBM. Collaborations include institutions in Japan, Turkey, Denmark, and Spain. His work on the UTDrive project focuses on in-vehicle voice navigation and driver behavior analysis. Labs & Teams: Leads the CRSS, which includes sub-teams like the Cochlear Implant Group and the Speech & Speaker Modeling Group. Active in organizing international conferences like IEEE ICASSP and INTERSPEECH.

• Robotics
• Additive Manufacturing
• Medical Diagnostics
• +۳ مورد دیگر

Dr. Panos S. Shiakolas is a tenured Associate Professor in the Department of Mechanical and Aerospace Engineering at The University of Texas at Arlington . He earned a PhD in Mechanical Engineering (1992) and BS/MS at The University of Texas at Austin (1986/1988). His career spans robotics, additive manufacturing, medical diagnostics, and control systems, with a focus on micro-devices for medical applications and human-robot interaction . He has mentored numerous students in competitive design contests and developed educational testbeds for robotics and control systems. Research Emphasis : 1) Micro-scale biomedical devices for diagnostics/prognostics in confined anatomical spaces; 2) Additive manufacturing process monitoring; 3) Human-robot interaction for assistive prosthetics; 4) Engineering education pedagogy. His publications cover robotic calibration, laser micromachining, medical device design, and finite element analysis. Awards include multiple Research Excellence Awards at UTA, best paper recognitions, and industry-sponsored design competition wins. He holds memberships in ASME and the National Academy of Inventors .

• Bioanalytical Chemistry
• Chemical Pathology
• Metabolomics
• +۷ مورد دیگر

Professor Martin Grootveld is a prominent academic in the field of Bioanalytical Chemistry and Chemical Pathology at De Montfort University's Leicester School of Pharmacy. He has previously held faculty roles at Queen's University Belfast (Visiting Professor), University of Warwick (Honorary Associate Clinical Professor), and University of Bolton, where he pioneered the UK's first Master’s program in Medical and Healthcare Devices. PhD in Bioanalytical Chemistry from Birkbeck College, University of London Postdoctoral work at King’s College, University of London His research spans metabolomics, oxidative stress in disease pathogenesis, NMR spectroscopy applications in diagnostics, and the development of biomaterials for oral and joint prosthetics. He has secured over £8 million in research funding and published 160+ peer-reviewed articles. Recent work focuses on low-field benchtop NMR for point-of-care diagnostics and antioxidant strategies in food and dental products. Prof. Grootveld's editorial contributions include leadership roles in Frontiers in Nutrition and Metabolites . He has supervised numerous PhD students and received accolades such as being shortlisted among the UK's top 5 PhD supervisors in 2020.

• Cardiovascular Biomechanics
• Cardiovascular Biofluids
• Fluid Mechanics
• +۵ مورد دیگر

Dr. Hoda Hatoum is an Assistant Professor in the Department of Biomedical Engineering at Michigan Technological University's College of Engineering, with a secondary appointment in Mechanical and Aerospace Engineering. She holds a PhD and MS in Mechanical Engineering from The Ohio State University and a BE from the American University of Beirut. Her research integrates experimental and computational approaches to cardiovascular biomechanics with clinical applications. Research Focus: Dr. Hatoum's laboratory investigates (1) structural heart biomechanics across adult and pediatric populations, (2) patient-specific cardiovascular modeling, (3) prosthetic valve engineering (surgical/transcatheter), (4) blood flow turbulence, and (5) arrhythmia treatment impacts on hemodynamics. Her work bridges biofluid dynamics, medical device innovation, and clinical translation. Publication Trends: Her recent articles demonstrate consistent focus on transcatheter valve performance optimization, hemodynamic risk prediction (thrombosis/stroke), pediatric cardiovascular mechanics, and innovative educational approaches in bioengineering. Computational fluid dynamics and in vitro validation are foundational methodologies across studies. Honors: American Heart Association Postdoctoral Fellowship Presidential Graduate Fellowship (Ohio State University) Best Paper Award, Annals of Biomedical Engineering Finalist, ACC Young Investigator Award 2021 Invited Speaker, Heart Valve Society Research Leadership: Directs the Biofluids Laboratory with current NSF and AHA funding. Active grants include: NSF ERI: Fluid dynamics of non-Newtonian blood substitutes ($200,000) AHA: Novel Transcatheter Mitral Valve Device Development AHA: Thrombosis prediction after left atrial appendage occlusion Mentors 4 PhD candidates and 3 undergraduates investigating valve hemodynamics, stroke prediction, and arrhythmia modeling.

• Vulnerable Plaques
• Ultrasound Imaging
• Photoacoustic Imaging
• +۵ مورد دیگر

Marcel CM Rutten is an Assistant Professor at the Department of Biomedical Engineering, Eindhoven University of Technology, specializing in Cardiovascular Biomechanics. His research focuses on vulnerable plaque characterization, biomechanical modeling, and advanced imaging techniques like ultrasound and photoacoustics. Research Interests: Vulnerable Plaque Analysis Photoacoustic Imaging Medical Device Development Hemodynamic Flow Modeling In Vitro/Ex Vivo Testing Recent Article Trends: His 2022-2024 publications emphasize integrated photonics for medical sensors, strain imaging in ultrasound simulations, and in vitro flow models for heart valve prostheses. Key themes include hemodynamic risk assessment, wave propagation analysis, and machine learning applications in biomedical optics. Active Projects: Currently leads "Integrated Photonics based Thermodilution Curve Measurement" (2023-2029) and teaches courses like Cardiovascular Fluid Mechanics and Project Biomechanics through 2025. Media Engagement: Featured in professional commentaries on mathematical modeling for heart valves (2021) and ultrasound simulation advancements (2023).

• Embedded Systems
• RF Technologies
• Bluetooth Low Energy (BLE)
• +۴ مورد دیگر

Boegli Alexis is an Associate Professor at Haute Ecole Arc - Ingénierie (HES-SO) since 2018, with a PhD in Science from the University of Neuchâtel. Specializing in embedded systems, RF technologies, and energy-efficient electronics, he focuses on applications requiring high constraints such as energy autonomy and compactness. His research spans BLE-based localization, dielectric elastomer actuators, and energy harvesting for biomedical devices. His educational background includes a BSC in Computer Science and Communication Systems from HES-SO and advanced studies in Microengineering at EPFL. He teaches courses like Electrotechnics I and co-supervises doctoral students in interdisciplinary projects. Key research areas include: RF Localization Systems (BLE AoA/AoD) High-Voltage Electronics for Capacitive Actuators Zero-Power Wearable Energy Harvesting Smart Sensor Networks Recent work demonstrates sub-meter accuracy in IoT localization systems using BLE and developed ultra-high-voltage (7kV) converters for dielectric elastomer actuators. His 2025 research explores inverted actuation cycles for facial prosthetics, reducing energy consumption by 1.5%. Patents include a BLE-based access control system combining RF positioning and video analysis (2022) and a real-time regulatory compliance method for wireless transmitters (2013). Collaboration with EPFL and CSEM drives technology transfer in industrial and biomedical applications. His projects often involve Innosuisse, SNSF, and industry partners.

• Medical Imaging
• Artificial Intelligence
• Image Processing
• +۵ مورد دیگر

Prof. Jérôme Schmid is a Professor at the Geneva School of Health Sciences (Haute école de santé - Genève) in the Department of Medical Radiology Techniques. He specializes in medical image processing, artificial intelligence applications in healthcare, and computer-aided diagnosis systems. His work focuses on improving diagnostic accuracy through machine learning, deformable models, and multimodal imaging fusion. Education includes a Master of Science (MSc) in Health Sciences from HES-SO/UNIL and a Bachelor of Science (BSc) in Medical Radiology Techniques from HES-SO. He also contributed to advanced education programs in 3D technologies in orthopedics and sports medicine through collaborations with the Geneva University Medical Faculty. Research interests revolve around AI-driven medical imaging analysis, specifically in breast lesion detection via MRI, Parkinson's disease diagnosis through SPECT imaging, and fracture recognition in radiographs. He leads projects addressing global healthcare challenges such as affordable imaging systems for low-resource countries and AI integration into radiology education through platforms like AIRx and ImmeRgaMe. Current projects (2022-2025) include DeepDAT (AI for Parkinson's diagnosis using SPECT) and SUBREAM (ultrafast breast MRI protocols). Completed projects span hip arthroplasty planning (MyHip), thermal-tolerant X-ray detectors, and FAI impingement modeling. His work is funded by Swiss National Science Foundation, Innosuisse, and private sector partnerships. Publications span 2015-2025, focusing on image segmentation, AI integration in diagnosis, and medical education innovations. He collaborates with academic partners like Hôpitaux Universitaires de Genève and industry leaders such as Medacta International.

Lorenzo Masiaمشاهده پروفایل

استاد

• Robotics
• Rehabilitation Engineering
• Wearable Robotics
• +۵ مورد دیگر

Prof. Lorenzo Masia is a Full Professor in Intelligent Bio-Robotics Systems and Deputy Director of the Munich Institute for Robotics and Machine Intelligence (MIRMI) at TUM. He holds a Master's from Sapienza University of Rome (2003) and a PhD from the University of Padua (2007). His career includes roles at MIT (2005-2006), the Italian Institute of Technology (2007-2012), Nanyang Technological University (Singapore), the University of Twente (Netherlands), and Heidelberg University (2019-2024). Research Focus: Exosuits, rehabilitation robotics, human-robot interaction, and wearable systems. Leadership Roles: Program Chair of IEEE ICORR 2015, BIOROB 2016, and General Chair of BIOROB 2024. Labs: ARIES Lab (Assistive Robotics and Interactive Ergonomic Systems), MIRMI. His research interests span the design of mechatronic devices for healthcare and human augmentation, with a focus on soft robotics for rehabilitation. Notable contributions include exosuit development for improving mobility in older adults and individuals with neurological disorders. Key Achievements: Winner of multiple IEEE Best Paper/Student Paper Awards at ICORR and BIOROB conferences. Editorial roles at IEEE Transactions on Robotics, Neural Systems and Rehabilitation Engineering, and Wearable Technologies. Grants & Collaborations: Extensive funding in robotics and rehabilitation, leading interdisciplinary projects with clinical and industrial partners.

• Humanoid Robotics
• Biped Locomotion
• Tactile Feedback Control
• +۴ مورد دیگر

Dr. Julio Rogelio Guadarrama Olvera is a researcher and leader of the Humanoid Robotics Group at the Chair of Cognitive Systems, Technical University of Munich (Prof. Gordon Cheng). He holds a Dr.-Ing. (Engineering Doctorate) from TUM, awarded with honors in 2021 for his thesis on humanoid robot whole-body control and biped locomotion. His current role includes postdoctoral research focusing on tactile feedback control, object manipulation, and bipedal locomotion. Education: Bachelor's in Mechatronic Engineering (2011), National Polytechnic Institute, Mexico City Master's in Engineering (2013), Center for Research and Advanced Studies, National Polytechnic Institute, Mexico City PhD in Robotics (2021), Technical University of Munich Research Interests: His work centers on advanced robotics systems, particularly tactile-based control for humanoid robots, bipedal locomotion stability, and human-robot interaction. Key areas include: Development of artificial robot skin for sensory feedback Real-time control algorithms for dynamic environments Ethical and safety frameworks for collaborative robots Applications in healthcare robotics and neuroengineering Teaching: Active in teaching advanced robotics courses such as ' Modelling and Control of Legged Robots ' and ' Practical Course RoboCup@Home ' at TUM. Labs/Teams: Leads the Humanoid Robotics Group within ICS, collaborating with international teams on projects like tactile feedback systems and robot skin technology. Involved in EU and industry-funded robotics initiatives.

• Machine Learning
• Robotics
• Human-Robot Interaction
• +۴ مورد دیگر

Joseph Camp is a Professor of Comparative Pathobiology and Secretary of Faculties at Purdue University. His work spans interdisciplinary areas including machine learning, robotics, and human-robot interaction. He leads the Global Engineering Program and holds affiliations across technical and administrative roles. His research focuses on reinforcement learning, multi-agent systems, and applying large language models to enhance decision-making and action anticipation in robotics and healthcare contexts. Key research interests include neuro-symbolic systems for short-context action prediction, robust reinforcement learning under noisy feedback, and geometric reasoning for zero-shot robotic grasping. His work also explores disentanglement in concept-residual models and transfer learning in multi-agent environments. He has published extensively on topics ranging from probabilistic imitation learning to bio-inspired robot locomotion design. While no specific awards or grants are listed, his contributions to human-robot interaction (HRI) and AI-driven medical devices reflect a strong focus on practical applications. His lab’s recent work integrates large language models with traditional robotics algorithms to improve adaptability in dynamic environments. No advising relationships or student names are explicitly mentioned in the provided texts.

Michael J. Cimaمشاهده پروفایل

استاد

• Medical Devices
• Materials Science
• Drug Delivery Systems
• +۷ مورد دیگر

Michael J. Cima is the David H. Koch Professor of Engineering and Professor of Materials Science and Engineering at MIT, serving as Faculty Director of the Lemelson-MIT Program since 2009. He joined MIT's faculty in 1986 after earning a BS in Chemistry and PhD in Chemical Engineering from UC Berkeley. His research focuses on materials and engineered systems for improving human health, particularly in cancer treatment, metabolic disorders, and implantable medical devices. Key innovations include MIT's three-dimensional printing process, chemically derived epitaxial oxide films for superconductors, and implantable MEMS devices for drug delivery and diagnostics. Cima holds over 300 peer-reviewed publications and 90 patents. His research interests span medical device development, biomaterials, and translational technologies like non-invasive diagnostic tools for liver disease and bladder cancer therapies. Awards include membership in the National Academy of Engineering (2011) and National Academy of Inventors (2016), as well as the W. David Kingery Award (2019). The Cima Lab, under his leadership, pioneers advanced materials and medical technologies.

• Patient Safety
• Artificial Intelligence in Healthcare
• Medical Education
• +۳ مورد دیگر

Hadi Alagha is an Honorary Research Fellow at Imperial College London's Department of Surgery & Cancer and a Senior Teaching Fellow at the Institute of Global Health Innovation. He holds affiliations with the Data Science Institute, Centre for Health Policy, Institute of Global Health Innovation, MSk Lab, and Patient Safety Translational Research Centre. A Senior Fellow of the Higher Education Academy, he also serves as a Visiting Senior Fellow at the London School of Economics Data Science Institute. His education includes a medical degree from the University of Debrecen (summa cum laude), an MSc in Sports and Exercise Medicine from the University of Nottingham, and a Master's in Education from the University of Dundee. He completed his PhD at Imperial College London under Professors Jonathan Jeffers and Justin Cobb, supported by the Imperial College President’s PhD Scholarship. Research focuses on optimizing patient safety via AI, big data, and medical education. Key projects include predicting adverse outcomes in joint replacements with the Swedish Hip Registry and developing NLP/ML tools at Harvard-MIT. His pedagogical work advances virtual mentorship strategies in medical training and explores challenges in graduate-entry medicine. Notable awards include the AI in Orthopaedics Poster Prize (ORUK), Tech Nation Global Talent endorsement, and multiple scholarships from Imperial College and the University of Debrecen. His teaching roles span Imperial College’s medical education programs and past roles at the University of Debrecen. He supervises BSc students in Surgical Design and has advised on studies blending biomechanics with patient safety. His work bridges clinical practice, education, and technology to advance healthcare outcomes globally.