جست‌وجوی استاد و پژوهشگر

Christian Holzمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Wearable Technologies
• Mixed Reality
• +۴ مورد دیگر

Prof. Christian Holz is an Associate Professor at the Department of Computer Science and Deputy Head of the Institute of Intelligent Interactive Systems at ETH Zürich. His work focuses on advancing human-computer interaction through innovations in wearable technologies, mixed reality systems, and sensor-driven applications. Key research areas include motion capture, physiological signal processing, and adaptive user interfaces. Holz leads the SIPLab (siplab.ethz.ch), producing influential work at the intersection of computer science and biomedical engineering. His research explores cutting-edge topics such as egocentric vision systems, wearable health monitoring devices, and VR/AR applications. Recent studies investigate cybersickness detection via EEG, heart rate estimation from eye-tracking cameras, and scalable motion capture using inertial/UWB sensors. Holz's work emphasizes practical applications in healthcare, education, and human-centered computing. Publications reflect a strong focus on interdisciplinary solutions, combining machine learning with sensor data analysis. Notable contributions include the EgoSim multi-view simulator, WildPPG biomedical dataset, and MiBOT cardiovascular modulation device. His research bridges theoretical advancements with real-world usability in domains like emergency response training, chronic disease monitoring, and immersive education.

Elliot Bentineمشاهده پروفایل

پژوهشگر ارشد

• Medical Imaging
• Quantum Optics
• Cold Atoms
• +۳ مورد دیگر

Elliot Bentine is a Research Fellow at the University of Oxford, affiliated with the Department of Physics. He also holds a Senior Postdoc position in the Department of Cardiovascular Medicine. His work integrates quantum physics and medical imaging, focusing on the Vascular Imaging Tool for the Auricle (VITA), a non-invasive optical system for cardiovascular health assessment. Collaborates with Dr. Lapidaire (Cardiovascular Medicine) and previously worked in Professor Chris Foot's quantum gases group. Funded by the Royal Academy of Engineering, Department for Science Innovation and Technology (DSIT), British Heart Foundation, and other translational research programs. His research spans quantum optics, ultra-cold matter, and computational simulation, with a recent emphasis on medical device commercialization. Bentine also develops open-source physics simulations (e.g., AtomECS, CRFAP) and Unity-based tools like ProPixelizer, which has sold over 35,000 copies. Scientific Awards: Royal Academy of Engineering Enterprise Fellowship He contributes to academic and creative communities through outreach demos, including browser-based simulations of evaporative cooling and magnet interactions.

Artur W. Dubrawskiمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Machine Learning
• Robotics
• +۷ مورد دیگر

Artur W. Dubrawski is an Alumni Research Professor of Computer Science and Director of the Auton Lab at Carnegie Mellon University's School of Computer Science. He leads interdisciplinary research on Artificial Intelligence, Machine Learning, and Robotics with real-world applications in healthcare, nuclear safety, food safety, and counter-human trafficking. His work focuses on bridging gaps between data-driven AI and empirical sciences through probabilistic modeling, predictive analytics, and time-series intelligence. Lab: Auton Lab (founded 1993) Collaborations: Allegheny County Health Department, USDA, CDC, U.S. Army Research Impact: AI for wastewater-based COVID-19 forecasting, radiological inspection systems, and hospital infection detection His students and affiliates include current PhD candidates Angela Chen, Emma Erickson, Cecilia Morales, Willa Potosnak and past researchers like Benedikt Boecking (co-inventor of Interactive Weak Supervision). The lab has spun off startups like Marinus Analytics (IBM XPrize finalists) and developed open-source tools like auton-survival for survival analysis. Key Grants: $10.5M U.S. Army contract for AI-driven predictive maintenance research.

Jenna Wiensمشاهده پروفایل

دانشیار

• Machine Learning
• Artificial Intelligence
• Healthcare Data Analytics
• +۵ مورد دیگر

Jenna Wiens is an Associate Professor of Computer Science and Engineering at the University of Michigan's College of Engineering. She serves as Associate Director of the Artificial Intelligence Lab and co-Director of AI & Digital Health Innovation. Leading the MLD3 research group, her work focuses on machine learning and AI applications for healthcare data. PhD from MIT (2014) under John Guttag NSF CAREER Award recipient (2016) Humboldt Foundation Carl Friedrich von Siemens Award (2024) Her research addresses four key technical thrusts: Time-series analysis for predicting clinical outcomes Robust machine learning against spurious correlations Decision-making with causal inference and offline reinforcement learning Human-AI collaboration frameworks Notable methodological contributions include the FIDDLE preprocessing pipeline for clinical time-series data, foundational work on survival analysis, and novel approaches to model selection in healthcare reinforcement learning. Her work has led to real-world AI deployments in infection prevention and patient risk stratification. Scientific honors include: Forbes 30 Under 30 (2015) MIT Tech Review 35 Innovators Under 35 (2017) Sloan Research Fellowship in Computer Science (2020) Sarah Goddard Power Award (2023) Wiens collaborates with clinicians across disciplines, emphasizing clinician-in-the-loop AI systems and ethical implementation in healthcare workflows.

Andre Levchenkoمشاهده پروفایل

استاد

• Systems Biology
• Signal Transduction
• Cell Communication
• +۵ مورد دیگر

Andre Levchenko is the John C. Malone Professor of Biomedical Engineering at Yale University, with secondary appointments in the Department of Neurosurgery and affiliations with the Cancer Signaling Networks, Immunology, and the Yale Program in Neurodevelopment and Regeneration. His research focuses on systems biology, signal transduction, and cell-cell communication, utilizing microfluidics and computational modeling to study cancer progression, stem cell behavior, and neurological disorders. PhD, Columbia University MEng, Moscow Institute of Physics and Technology Levchenko's work explores how cells process dynamic signals to make critical decisions, particularly in glioblastoma migration, organoid development, and cardiovascular tissue engineering. His lab develops innovative microfluidic platforms and mathematical models to dissect multicellular communication and signaling networks. Recent publications highlight his contributions to understanding YAP-driven cancer invasion , NOTCH signaling in angiogenesis , and metabolic regulation of hypoxia responses . He has pioneered methods for organoid modeling and single-cell analysis , advancing precision in biological signaling studies. Scientific Awards : Computational Molecular Biology Post-Doctoral Fellowship (Burroughs Wellcome Fund) National Academies Keck Futures Conference Invitee Distinguished Guest Lecturer, University of Virginia American Asthma Foundation Early Excellence Award Fellow, American Institute for Medical and Biological Engineering Levchenko leads the Levchenko Lab at the Yale Systems Biology Institute, collaborating with institutions like Mayo Clinic and Yale Cancer Center. His research has received recognition in Faculty of 1000 and multiple journal highlights.

Michael McAlpineمشاهده پروفایل

استاد

• 3D Printing
• Nanotechnology
• Biomedical Engineering
• +۴ مورد دیگر

Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award

Edward H. Adelsonمشاهده پروفایل

استاد

• Computer Vision
• Artificial Touch Sensing
• Neuroscience of Vision
• +۴ مورد دیگر

Edward H. Adelson is the John and Dorothy Wilson Professor of Vision Science at MIT, affiliated with the Department of Brain and Cognitive Sciences and the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research spans computer vision, human vision science, and robotics, with a focus on artificial touch sensing and tactile robotics. He has pioneered technologies like the GelSight tactile sensor, enabling high-resolution touch sensing for robots surpassing human skin sensitivity. Adelson holds a PhD in Experimental Psychology from the University of Michigan (1979) and a BA in Physics and Philosophy from Yale University (1974). His career includes roles at MIT since 1987, progressing from Associate Professor to Professor and later the Wilson Chair. He contributed to early vision theories, including the plenoptic function and motion energy models, and has been recognized with prestigious awards like the Helmholtz Prize (2013) and Rank Prize (1992). His research interests include material perception, optical sensing, and the integration of vision and touch. Key innovations include the plenoptic camera, layered representation techniques for motion analysis, and tactile sensors for robotics. Adelson has authored over 300 publications and holds numerous patents in imaging, vision, and robotics. Awards and honors include membership in the National Academy of Sciences and the American Academy of Arts and Sciences. His work bridges neuroscience and engineering, advancing both fundamental understanding and practical applications in robotics and computer vision.

Clifton R. Haiderمشاهده پروفایل

عضو هیئت علمی

• Biomedical Engineering
• Physiological Monitoring
• Medical Device Design
• +۵ مورد دیگر

Clifton R. Haider, Ph.D., is a Professor of Biomedical Engineering at Mayo Clinic, holding primary appointments as a Consultant in the Department of Physiology & Biomedical Engineering and the Department of Pediatric and Adolescent Medicine. His research focuses on accelerating medical device development through a discovery platform integrating mathematical modeling, algorithmic design, and physiological sensor validation. This platform aims to identify predictive biomarkers for conditions like cardiovascular collapse, sleep disorders, and neurodegenerative diseases. Dr. Haider’s work emphasizes noninvasive, autonomous monitoring and real-time predictive algorithms, with a particular focus on pediatric care. Education: PhD, Physiology & Biomedical Engineering, Mayo Graduate School, Mayo Clinic College of Medicine Predoctoral Studies in Biomedical Engineering and Physiology, Mayo Graduate School BSc (Hons), Biomedical Engineering, University of Iowa Research Interests: Dr. Haider’s work bridges engineering and clinical practice, targeting unmet needs in pediatric and adult healthcare. His discovery platform combines statistical modeling, sensor design, and validation to streamline medical device prototyping. Key focus areas include: Accelerated medical device design Quantitative predictive biomarkers Remote pediatric monitoring Real-time algorithm development This platform seeks to predict treatment responses and identify patients requiring advanced care, enhancing clinical decision-making. Awards: Office of Naval Research Young Investigator Program (2014–present) Grants & Labs: His research is supported by interdisciplinary collaborations at Mayo Clinic, leveraging laboratory facilities for sensor validation and algorithm testing. While specific grant details are not listed, his work aligns with Mayo’s emphasis on translational biomedical engineering.

Karin Allor Pfeifferمشاهده پروفایل

استاد

• Physical Activity Measurement
• Childhood Obesity Prevention
• Exercise Physiology
• +۳ مورد دیگر

Karin Allor Pfeiffer is a Professor in the Department of Kinesiology at Michigan State University (MSU) and Director of the Institute for the Study of Youth Sports. She holds additional membership in the Center for Physical Activity and Health. With a Ph.D. from MSU, her research focuses on physical activity measurement methodologies and population health interventions, particularly among children and adolescents. Her work addresses obesity prevention, environmental design impacts on activity levels, and sociocultural factors influencing youth sport participation. Education: Ph.D. in Kinesiology from Michigan State University Her research interests emphasize: - Quantitative methods for physical activity assessment - Schoolyard redesign strategies and their health impacts - Cardiometabolic risk factors in pediatric populations - Longitudinal tracking of physical fitness and health outcomes Recent work explores accelerometer fragmentation metrics, GPS-linked activity tracking, and disparities in sedentary behavior across demographic groups. She has pioneered interdisciplinary approaches integrating spatial analysis, wearable technology, and policy evaluation. Key contributions include developing the Observational System for Recording Physical Activity in Children and advancing consensus methods for accelerometer data interpretation. Her studies frequently highlight socioeconomic and environmental determinants of health behaviors. Dr. Pfeiffer collaborates with public health agencies and urban planners to translate research into actionable policies. Her lab focuses on scalable interventions for underserved communities, leveraging community-engaged methods to address greenspace accessibility and safety concerns.

Ruofan Yaoمشاهده پروفایل

دانشیار

• Maternal-Fetal Medicine
• Obstetrics
• Environmental Epidemiology
• +۲ مورد دیگر

Ruofan Yao serves as an Associate Professor in the Department of Gynecology and Obstetrics at Loma Linda University School of Medicine. Holding dual qualifications as an MD and MPH, Dr. Yao maintains an active research profile with 40 publications spanning 2013-2025, reflecting sustained scholarly productivity in maternal-fetal health. Dr. Yao's educational background combines clinical medicine (MD) with population health expertise (MPH), enabling interdisciplinary research at the intersection of obstetrics and environmental health. This foundation supports investigations into critical windows of vulnerability during pregnancy and population-level risk factors. Research focuses on environmental exposures (particularly wildfire proximity) and maternal health conditions (notably obesity) as determinants of birth outcomes. Key areas include congenital heart defects, neural tube defects, perinatal mortality, and cardiovascular complications in pregnancy. Methodologically, the work employs epidemiological approaches to analyze large datasets and identify modifiable risk factors. Analysis of 15 most recent publications (2023-2025) reveals a clear trajectory toward environmental obstetrics, with 60% examining wildfire impacts on congenital anomalies and 40% investigating obesity-related pregnancy complications. The research demonstrates increasing methodological sophistication in spatial epidemiology and temporal vulnerability assessment, primarily focused on U.S. populations. No scientific awards are documented in the available materials. Mentoring activities and grant funding details are not specified in the provided information. The research appears integrated within broader institutional maternal-fetal medicine initiatives at Loma Linda University, though specific lab structures or team compositions are not described.

Tianxi Caiمشاهده پروفایل

استاد

• Biomedical Informatics
• Biostatistics
• Machine Learning
• +۷ مورد دیگر

Tianxi Cai, ScD, holds the John Rock Professorship in Population and Translational Data Sciences at the Harvard T.H. Chan School of Public Health and is a Professor of Biomedical Informatics at Harvard Medical School. She directs the Translational Data Science Center for a Learning Health System (CELEHS). Her work bridges clinical and basic science data to advance personalized medicine and disease understanding. Institution: Harvard University Departments: Biostatistics (T.H. Chan School) and Biomedical Informatics (HMS) Key Roles: Faculty member since 2002, NIH-funded researcher, and leader in EHR data analytics Research focuses on biomarker evaluation, predictive modeling, high-dimensional data analysis, and survival analysis. Collaborates with the I2B2 Center to integrate clinical and genomic data. Active in developing semi-supervised learning methods for noisy EHR data and real-world evidence generation. Funding : Recent grants include NIH projects on rheumatoid arthritis treatment response (R01AR080193, R21AR078339) and semi-supervised EHR denoising (R01LM013614). Co-leads initiatives on chronic disease endpoints using multi-source data (U01FD007929). Labs/Teams : Directs CELEHS and leads the Cai Lab, focusing on translational data science and machine learning applications in healthcare.

• Cardiology
• Electrophysiology
• Cardiac Arrhythmias
• +۴ مورد دیگر

Professor Carlo Pappone is a Full Professor of Cardiology at Vita-Salute San Raffaele University (since 2019) and Director of the Arrhythmology Department at IRCCS Policlinico San Donato Hospital (since 2015). He has held previous academic/clinical leadership roles at IRCCS San Raffaele Hospital (2000-2010), Villa Maria Cecilia Hospital (2010-2015), and University of Naples Federico II (1990-2000). With 212 publications in top journals like NEJM, JAMA, and Circulation, he has made significant contributions to cardiac arrhythmia research. Current Positions Vita-Salute San Raffaele University (2019-present): Full Professor of Cardiology IRCCS Policlinico San Donato Hospital (2015-present): Director of Arrhythmology Department Previous Roles University of Naples Federico II (1990-2000) University of Michigan Ann Harbor (1990-2000) IRCCS San Raffaele Hospital (2000-2010) Villa Maria Cecilia Hospital (2010-2015) Research Focus: Specializing in cardiovascular diseases, his work spans atrial fibrillation ablation techniques, Brugada syndrome pathogenesis, heart failure device therapy, and ion channel disorders. His H-index of 53 and 18,407 citations reflect his substantial academic impact. Notable Scientific Contributions Author of 44 patents Principal Investigator in 14 clinical trials (clinicaltrials.gov) Developed circumferential pulmonary vein ablation technique Innovator in biventricular pacing systems for heart failure Pioneered research on non-excitatory current for cardiac contractility Scientific Recognition Awarded as Elite Reviewer of JACC (2005) Editorial Board Member of 6 leading journals Reviewer for NEJM, JAMA, Lancet, and Nature Medicine Education Medical Doctorate: University of Naples Federico II

Bradley Nelsonمشاهده پروفایل

استاد

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

Bradley Nelson is a Full Professor of Robotics and Intelligent Systems at ETH Zürich since 2002, leading the Institute for Robotics and Intelligent Systems. He holds a Ph.D. in Robotics from Carnegie Mellon University (1995), with prior roles as Assistant Professor at the University of Illinois at Chicago (1995-1998) and Associate Professor at the University of Minnesota (1998-2002). His research focuses on microrobotics and nanorobotics for biomedical applications, including targeted drug delivery and medical robotics. He leads the Microrobotics Lab (MSRL) and chairs international workshops/conferences. Awards include IEEE and ASME Fellowships, and Best Paper accolades at major robotics venues. Research interests emphasize magnetic microrobot navigation, smart materials, and clinical translation of robotic systems. His work bridges engineering and medicine, addressing challenges like cerebral vasculature navigation for drug delivery. He has developed electromagnetically controllable catheters and telesurgery frameworks. Leadership roles include Head of the ETH Department of Mechanical and Process Engineering and Chairman of the ETH Electron Microscopy Center (EMEZ). Notable contributions include magnetically guided microcatheters, variable-stiffness catheters, and clinical-ready navigation systems. Ongoing projects explore magnetoelectric effects and biodegradable micromotors for environmental and biomedical uses. His lab collaborates with industry and academic partners globally to advance robotic solutions for healthcare challenges.

Yayun Duمشاهده پروفایل

استادیار

• Bioelectronics
• Intelligent Systems
• Wearable and Implantable Sensors
• +۷ مورد دیگر

Dr. Yayun Du is an Assistant Professor in the Department of Electrical and Computer Engineering at Vanderbilt University School of Engineering. She holds a Ph.D. in Robotics and System Control (Minor: Solid Mechanics) from UCLA (2022) and was a postdoctoral scholar at Northwestern University's Rogers Group through 2024. Current faculty at Vanderbilt University Ph.D. from University of California, Los Angeles Postdoctoral experience at Northwestern University Her research integrates bioelectronics and robotics through three core directions: 1) Developing multimodal wearable/implantable sensors for health monitoring, 2) Creating human-in-the-loop interaction systems using brain-computer interfaces, and 3) Applying machine learning to medical environment robotics. She has deployed four sensor types across seven hospitals globally, serving users from neonates to elderly patients. Dr. Du's recent publications focus on wireless bioelectronic devices ( PNAS ), sustainable sensor materials ( ACS Sustainable Chemistry & Engineering ), and agricultural robotics ( ICRA , IROS ). She serves as Associate Editor for ICRA 2025 and has received two Best Paper Award final nominations at IROS 2021. Finalist - Best Paper Award in Agri-Robotics (IROS 2021) Finalist - Best Paper Award in Robot Mechanisms and Design (IROS 2021) As head of the Du Group, she leads interdisciplinary research with applications in both healthcare and agricultural contexts, collaborating with Vanderbilt Institute for Surgery and Engineering (VISE) and clinical partners. Her work emphasizes deployable systems that transition from academic research to real-world implementation in medical and industrial environments.

• Optical Imaging
• Biomedical Engineering
• Medical Devices
• +۳ مورد دیگر

Professor Robert McLaughlin is a faculty member in the School of Biomedicine at the University of Adelaide, affiliated with the Faculty of Health and Medical Sciences. He leads the Bioengineering Imaging Group and serves as Managing Director of the start-up Miniprobes. His research focuses on developing optical imaging technologies, including non-invasive tools for blood flow assessment and miniaturized imaging probes. He has secured over $14M in research grants and holds an h-index of 45 with 98 journal papers, 7 patents, and 2 book chapters. Prof. McLaughlin’s career includes roles at the University of Oxford and Siemens Medical Solutions, followed by academic leadership since 2007. His innovations span optical coherence tomography (OCT), fluorescence imaging, and dual-modality systems for clinical applications. Awards include the 2014 WA Innovator of the Year, 2015 Australian Innovation Challenge, and 2016 South Australian Premier’s Research Fellowship. His research emphasizes practical medical solutions, such as imaging needles for deep-tissue diagnostics and optical devices for real-time surgical monitoring. The Bioengineering Imaging Group collaborates with industry and academia to translate technologies into clinical practice.