جستجوی استاد راهنمای دانشگاهی

Jiwei Zhaoمشاهده پروفایل

دانشیار

• Semiparametric Statistics
• Missing Data Analysis
• Causal Inference
• +۱۰ مورد دیگر

Jiwei Zhao is an Associate Professor at the University of Wisconsin-Madison, jointly appointed in the Department of Statistics (School of Computer, Data & Information Sciences) and the Department of Biostatistics & Medical Informatics (School of Medicine & Public Health). He leads the Zhao Research Group, focusing on statistical and machine learning methods for biomedical data analysis. His work is supported by multiple NIH and NSF grants, including an NIH R01 project on patient-reported outcomes in vocal fold paralysis and a Distinguished Research Fellows Program at UW-Madison. Dr. Zhao earned his PhD in Statistics from UW-Madison in 2012 under Dr. Jun Shao. Prior to his current position, he was a Postdoctoral Researcher at Yale University (2012-2013) and held Assistant and Associate Professor roles at SUNY Buffalo (2014-2020). His academic leadership includes serving as Associate Editor for journals like the Annals of Applied Statistics and Scandinavian Journal of Statistics , and as Area Chair for AISTATS (2024-2025). His research interests span semiparametric methodologies, missing data analysis, causal inference, and domain adaptation. Key applications include patient-reported outcomes, electronic health records, clinical trials, and studies on aging, mental health, and cancer. His group collaborates with institutions like the Data Science Institute, Institute on Aging, and Center for Demography of Health and Aging. Recent work emphasizes efficient parameter estimation under privacy constraints, robust learning in nonignorable missing data scenarios, and leveraging machine learning for medical imaging and genetic studies. He actively recruits researchers across postdocs, PhD, and undergraduate levels to join his team.

• Nanotheranostics
• Quantitative Imaging
• MRI
• +۲ مورد دیگر

Holden H Wu is a Professor in the Department of Radiological Sciences at the University of California Los Angeles (UCLA) School of Medicine. His research focuses on advanced medical imaging techniques, particularly in quantitative MRI, artificial intelligence applications, and image-guided interventions. He leads the UCLA MRRL Wu Lab and has established himself as a leading researcher in free-breathing MRI techniques for body composition analysis and disease quantification. Dr. Wu's research interests span nanotheranostics, quantitative imaging, MRI technology development, artificial intelligence applications in medical imaging, and image-guided interventions. His work particularly emphasizes developing motion-robust techniques for abdominal and pediatric imaging, with applications in liver fat quantification, body composition analysis, and prostate cancer imaging. He has pioneered several free-breathing MRI techniques that have eliminated the need for breath-holding in patients, significantly improving clinical applicability, especially for pediatric populations and patients with limited breath-holding capacity. His recent publications demonstrate a strong focus on integrating deep learning with physics-based modeling to improve quantitative MRI techniques. Major trends in his research include the development of self-gated radial MRI techniques, motion-compensated imaging methods, and AI-powered analysis tools for medical imaging data. His work bridges engineering innovation with clinical applications, particularly in liver disease, metabolic disorders, and oncology. New Technologies for Real-Time MRI-Guided Robotic-Assisted Abdominal Interventions (NIH R01EB031934, 2022-2026) - Principal Investigator Quantitative MRI and Deep Learning Technologies for Classification of NAFLD (NIH U01EB031894, 2022-2027) - Principal Investigator Quantifying Body Composition and Liver Disease in Children using Free-Breathing MRI and MRE (NIH R01DK124417, 2020-2024) - Principal Investigator Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification (NIH R01CA248506, 2020-2025) - Co-Principal Investigator Dr. Wu has mentored numerous students and researchers through his active laboratory, focusing on training the next generation of biomedical imaging scientists. His research group, the UCLA MRRL Wu Lab, develops innovative imaging technologies with direct clinical translation potential. Current projects include developing real-time MRI-guided robotic interventions, advanced quantitative techniques for liver fat and fibrosis assessment, and AI-powered prostate cancer detection methods.

C. Alberto Figueroaمشاهده پروفایل

استاد

• Cardiovascular Biomechanics
• Computational Fluid Dynamics (CFD)
• Medical Imaging Analysis
• +۵ مورد دیگر

C. Alberto Figueroa is the Edward B. Diethrich Professor of Surgery and Professor in the Department of Biomedical Engineering at the University of Michigan. His primary affiliation is with the College of Engineering, where he leads the Computational Vascular Biomechanics Lab. He holds a Ph.D. in Mechanical Engineering from Stanford University (2006). Research interests focus on computational modeling of vascular systems, including hemodynamics, biomechanics, and medical imaging analysis. His work integrates machine learning, computational fluid dynamics (CFD), and multi-scale modeling to study diseases such as aortic aneurysms, pulmonary hypertension, and cerebrovascular disorders. Key areas include vascular deformation mapping, surgical intervention planning, and AI-driven diagnostics for coronary and cerebrovascular diseases. Recent publications emphasize predictive models for aneurysm growth, hemodynamic effects in carotid stenosis, and AI-based 3D reconstruction from medical imaging. His lab develops tools like AngioNet for vessel segmentation and CRIMSON software for cardiovascular modeling. Collaborative projects address clinical challenges in endovascular repair, myocardial perfusion, and hypertension pathophysiology. Dr. Figueroa’s research spans academia and clinical practice, with applications in surgical decision-making, device design, and precision medicine. His work bridges engineering and medicine, aiming to translate computational insights into patient-centered solutions.

Alexander D. Kaiserمشاهده پروفایل

مدرس

• Cardiovascular Biomechanics
• Fluid Dynamics
• Heart Valve Modeling
• +۳ مورد دیگر

Alexander D. Kaiser is an Instructor at Stanford University in the Department of Cardiothoracic Surgery, working within the Cardiovascular Biomechanics Computation Laboratory led by Alison Marsden. He collaborates with Michael Ma and William Hiesinger, focusing on computational models for cardiac surgery and valve mechanics. His research involves fluid-structure interaction simulations and design-based elasticity techniques to study heart valves and disease. Education: PhD in Mathematics, New York University (Courant Institute), 2017 MSc in Mathematics, New York University, 2013 BA in Mathematics, University of California, Berkeley, 2009 Research Interests: Kaiser’s work centers on modeling the mechanics and fluid dynamics of heart valves, particularly the mitral and aortic valves. He develops computational methods to simulate cardiac disease and guide surgical interventions. His design-based elasticity approach creates valve models that replicate experimental data while predicting material properties and anatomical features. This work bridges applied mathematics with clinical applications, aiding in the optimization of surgical techniques like bicuspidization and valve repair. Advising and Grants: No formal advisees are listed, though his collaborations include significant contributions to interdisciplinary research projects in cardiovascular biomechanics. His work is supported by grants focused on computational modeling and surgical innovation. Labs and Teams: He is an active member of the Cardiovascular Biomechanics Computation Laboratory , where interdisciplinary teams combine engineering, mathematics, and medicine to advance cardiac surgery and disease understanding.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Jeronimo Grandi is an Assistant Professor in the Department of Computer & Cyber Sciences at the School of Computer and Cyber Sciences, Georgia Southern University. His academic work spans augmented reality (AR), virtual reality (VR), and human-computer interaction, with a focus on collaborative technologies and cybersecurity in extended reality (XR). He holds a Ph.D. and M.S. in Computer Science from Federal University of Rio Grande do Sul (2018 and 2014), and a B.A. in Game and Interactive Media Design from University of Caxias do Sul (2011). His research emphasizes AR/VR interfaces for first responders, public safety applications, and continuous authentication systems. Notable achievements include the Best 3DUI Contest Award (2023), Unreal Faculty Fellowship (2023), and a Ph.D. distinction (Cum Laude) in 2018. He teaches courses like Human-Computer Interaction and Dissertation Research, and actively reviews for conferences like ACM ISMAR and IEEE VR. Key research directions include modular AR frameworks for emergency response, cross-reality collaboration tools for sustainability education, and visual search optimization in VR. His work bridges theoretical HCI principles with practical implementations in law enforcement, healthcare, and disaster management scenarios.

Mathias Brieuمشاهده پروفایل

استاد

• Mechanics of Materials
• Computational Mechanics
• Soft Polymers
• +۵ مورد دیگر

Mathias Brieu is a Professor in Mechanical Engineering at California State University, Los Angeles. He specializes in solid mechanics, computational mechanics, and the mechanics of soft polymers and bio-polymers for biomedical applications. His research focuses on material characterization, constitutive modeling, and numerical methods, particularly in pelvic soft tissues and polymer sustainability. Education: Habilitation à Diriger des Recherches (H.D.R.) in Physics, University of Lille (2005) PhD in Mechanical Engineering, Ecole Normale Supérieure Paris-Saclay (1999) - Highest Distinction MS in Mechanical Engineering, University Paris-Sorbonne (1996) - Highest Distinction Agrégation de Mécanique (French National Examination for Higher Education) Research Interests: Experimental and computational mechanics of soft materials Patient-specific simulation of pelvic systems for medical device design Bio-polymers and sustainability in polymer applications Medical imaging integration with biomechanical modeling Publications Trends: Recent work emphasizes pelvic biomechanics, composite material behavior under dynamic loads, and medical device innovation. His articles bridge experimental methods (e.g., MRI analysis) with computational models to address clinical challenges in gynecology and surgical planning. Awards: PhD 'Très honorable avec félicitations du jury' MS 'Mention Très Bien' Agrégation de Mécanique (French Ministry) Grants & Advising: While specific grants are not detailed, his work implies sustained funding for interdisciplinary research. He has advised students through his academic roles, with no named advisees listed. Labs & Teams: Engages in collaborative projects involving medical imaging, material testing, and biomechanical simulation, though specific lab names are not mentioned.

Anne Hranchookمشاهده پروفایل

دانشیار

• Nurse Anesthesia
• Patient Safety
• Quality Improvement in Healthcare
• +۴ مورد دیگر

Anne Hranchook, DNP, CRNA serves as Associate Professor & Assistant Director of the OU-Beaumont Graduate Program of Nurse Anesthesia at Oakland University's School of Nursing. Based in the Human Health Building, Room 3056, she leads the nurse anesthesia program in collaboration with Corewell Health - William Beaumont University Hospital. Her dual role bridges academic instruction with clinical practice in anesthesiology. Dr. Hranchook's educational background includes: DNP from Oakland University MSN in Nurse Anesthesia from Oakland University BSN from University of Detroit Her research program focuses on quality and safety in anesthesia delivery and the implementation of technology in clinical practice. With extensive clinical experience from 20 years at William Beaumont University Hospital, she specializes in translating research into evidence-based practice that enhances patient outcomes. Her work particularly addresses how administrative decision-making can promote cultures of critical thinking and accountability within healthcare settings. Analysis of her recent publications reveals consistent themes in patient safety, with particular attention to closed claims analysis, technology integration in anesthesia practice, and the educational implications of these findings. Her research demonstrates a longitudinal commitment to understanding and improving anesthesia safety through systematic analysis of adverse events and implementation of evidence-based solutions. Her scientific recognition includes: AANA Foundation Oral Poster Award ($1,000) Dr. Hranchook has secured significant research funding, most notably multiple Nurse Anesthesia Traineeship grants from the Health Resources and Services Administration spanning over a decade (2012-2022), plus an Oakland University Research Committee Faculty Research Grant. These awards demonstrate sustained external validation of her work in anesthesia education and patient safety. As Assistant Director of the OU-Beaumont Graduate Program of Nurse Anesthesia, she plays a pivotal role in shaping the next generation of nurse anesthetists through curriculum development, clinical oversight, and research mentorship in collaboration with Corewell Health.

• Robotics
• Control Systems
• Humanoid Robots
• +۶ مورد دیگر

Santiago Martinez de la Casa Diaz is an Associate Professor in the Systems Engineering and Automation Department at the University Carlos III of Madrid , affiliated with the Robotics Lab . He specializes in robotics, with a focus on humanoid robots, control systems, and sensor integration. His work spans areas like soft robotics, reinforcement learning, and autonomous systems for tunnel inspection and service applications. His research interests include the design and control of humanoid robots (e.g., TEO and BADGER), sensor fusion, and applications in healthcare and industrial automation. He has published extensively on topics like actuator control, bimanual manipulation, and fractional-order systems. He leads projects such as SIROCO (robotic orthosis) and ROBOSUB (subsurface robotics), and collaborates on initiatives like iRoboCity2030 for smart city robotics. His work integrates AI, mechatronics, and biomechanics to advance humanoid robotics capabilities and real-world applications.

• Pharmacoepidemiology
• Pharmacoinformatics
• Cardiometabolic Diseases
• +۴ مورد دیگر

Serena Jingchuan Guo is an Assistant Professor in the Department of Pharmaceutical Outcomes & Policy at the University of Florida College of Pharmacy , with a secondary affiliation in the Department of Health Outcomes and Biomedical Informatics at the University of Florida College of Medicine . Research Focus : Pharmacoepidemiology, pharmacoinformatics, and precision therapeutics for cardiometabolic diseases , neurodegenerative conditions , and cancer , leveraging real-world data , machine learning , and geospatial analyses . Grants : Funded by NIDDK , NIA , NIMHD , Veterans Affairs , CDC , and PhRMA Foundation . Scientific Awards : Research Promotion Initiative Award 2025 University of Florida Assistant Professor Award of Excellence 2024 University of Florida Teaching and Service Award 2024 Academy of Managed Care Pharmacy JMCP Award for Excellence 2023 Recent Publications highlight her work on social determinants of health , GLP-1RA , SGLT2 inhibitors , and AI-driven clinical decision tools , with articles in Annals of Internal Medicine , Nature Communications , and JAMA Neurology . She has published over 130 peer-reviewed manuscripts.

Li Zhongمشاهده پروفایل

استاد

• Cancer Biomarkers
• Early Cancer Detection
• Autoantibody Technology
• +۳ مورد دیگر

Dr. Li Zhong is a Professor of Physiology at the Department of Biomedical Sciences, College of Osteopathic Medicine of the Pacific (COMP), Western University of Health Sciences. He joined the university in 2010 and has held academic ranks including Assistant Professor (2003–2007), Associate Professor (2010–2020), and his current role since 2020. His expertise spans physiology, biomedical sciences, and oncology. Dr. Zhong earned a Ph.D. in Physiology from Wayne State University (1999), followed by postdoctoral training at Karmanos Cancer Institute. He holds an M.S. in Computer Science (Wayne State, 2000) and a B.S. in Biology from Hebei University (1985). His research focuses on early cancer detection using autoantibody profiles as biomarkers. His team developed a screening technology achieving 91.3% sensitivity/specificity for stage I NSCLC and 82.6%/87.5% for occult NSCLC. He leads NIH-funded studies on biomarkers for lung and esophageal cancers, and has collaborated with organizations like British American Tobacco and Genetics Biotechnology Inc. He has secured over $10M in grants, including NSF, NIH R01/R21, and VA Merit awards. His publications (15+ recent entries) span lung cancer biomarkers, mesenchymal stem cell therapies, and molecular mechanisms in cardiovascular diseases. He teaches courses in respiratory physiology, neuroscience physiology, and biotechnology. Dr. Zhong’s work bridges basic science and clinical applications, emphasizing early cancer detection and novel therapeutic approaches. His lab collaborates globally, with presentations at AACR, EDRN, and international conferences.

Alice Noblinمشاهده پروفایل

دانشیار

• Health Information Management
• Project Management
• Health Literacy
• +۶ مورد دیگر

Alice Noblin, Ph.D., RHIA, CCS, PMP is an Associate Professor at the University of Central Florida within the College of Community Innovation and Education , specifically the School of Global Health Management and Informatics . Her work bridges health information management, technology adoption, and health literacy to improve patient outcomes. Her research focuses on: Barriers to electronic health record (EHR) adoption by patients and providers Telehealth accessibility in rural areas Health literacy and patient engagement with digital tools Data privacy and security in healthcare Application of predictive analytics in infection prevention The 15 most recent articles reflect her expertise in EHR optimization, health equity, and disaster preparedness in healthcare systems. Scientific Awards: AHIMA Triumph Award for Research FHIMA Literary Award AHIMA Triumph Award for Education FHIMA Educator Award Dr. Noblin co-authored a medical coding textbook and has contributed to advancing health information management education.

• Human Factors
• Human-Robot Interaction
• Human-in-the-Loop Systems
• +۴ مورد دیگر

Dr. Yang Jing is an Assistant Professor in the Department of Industrial and Systems Engineering at the University at Buffalo. Their research focuses on human-robot interaction, adaptive automation, and human factors in healthcare and autonomous systems. Dr. Yang holds a PhD in Industrial Engineering from Purdue University (2023). Research Interests: Human factors engineering, robotic-assisted surgery, cognitive modeling, medical performance assessment, and multimodal sensing for situation awareness. Their work integrates physiological measurements (EEG, eye-tracking) with computational intelligence to improve human-technology collaboration. Key Research Contributions: Pioneered adaptive human-robotic interaction architectures for surgical environments, developed EEG-based techniques for driver state monitoring, and created computer-vision systems for ergonomics assessment. Recent work explores neurotechnological aids for semi-autonomous surgical tools and automated driving situation awareness classification. Labs & Teams: Leads the Human Factors in Robotics Lab, focusing on interdisciplinary projects at the intersection of industrial engineering, neuroscience, and medical technology. Collaborates with automotive and healthcare industries to translate research into practical applications.

• Artificial Intelligence
• Robotics
• Control Systems
• +۳ مورد دیگر

Jan Steinbrener is an Associate Professor at the University of Klagenfurt's Institute for Intelligent System Technologies and serves as Vice Rector for Research and International Affairs, leading the Research Council. His roles include overseeing research strategy, international collaborations, and faculty research activities. Research Interests: Steinbrener focuses on robotics, artificial intelligence, and autonomous systems. His work emphasizes sensor systems, UAV navigation, and embedded AI applications. Projects include drone-based wind turbine inspection and AI-driven control systems for industrial robotics. Grants & Projects: He leads initiatives funded by the Austrian Research Promotion Agency (FFG), including 'Wind Turbine Blade Inspection Using Multimedia Drones' and 'Embedded AI - Shaping the Future of Power Electronics.' Collaborative projects with Carinthian Economic Development Fund and Infineon Technologies highlight his industry-academia partnerships. Academic Contributions: Steinbrener's research spans robotics, control systems, and sensor technology. Key publications include studies on UAV navigation algorithms, light-field imaging, and reinforcement learning applications in robotics.

• Pregnancy Immunology
• Neuroimmunology
• Fetomaternal Microchimerism
• +۳ مورد دیگر

Dr. Ina Stelzer is an Assistant Professor in the Department of Pathology at University of California San Diego, specializing in reproductive immunology, neuroimmunology, and multi-omics approaches to pregnancy-related health. Her lab pioneers advanced single-cell proteomic techniques (CyTOF, IMC) and targeted neuromodulation to study maternal immune adaptations in healthy and pathological pregnancies. Education: BSc in Molecular Life Sciences (Maastricht University), MSc in Molecular Medicine (Charité Berlin), PhD in Reproductive Immunology (University Hamburg), Postdoc in Systems Immunology (Stanford University) Her research integrates preclinical mouse models with translational human pregnancy cohorts to address critical questions in peripartum health management. Key areas include fetomaternal microchimerism, preterm birth prediction, and neuroimmune interactions during pregnancy. Recent publications highlight her work on multi-omics biomarker discovery and computational modeling of maternal immune dynamics. She leads NIH-funded projects (R00HD105016, K99HD105016) on neuromodulation of maternal immunity. The Stelzer lab hosts state-of-the-art mass cytometry instruments (XTi, Standard Biotools) accessible to internal and external collaborators. Her team bridges cutting-edge technology with clinical applications to improve maternal-child health outcomes.

Carmen Muller-Kargerمشاهده پروفایل

استاد آموزشی

• Biomedical Engineering
• Mechanical Engineering
• Materials Science
• +۵ مورد دیگر

Carmen Muller-Karger is an Associate Teaching Professor in the Department of Mechanical and Materials Engineering at Florida International University (FIU), part of the College of Engineering. Her work focuses on biomedical engineering, prosthetics design, and finite element analysis. She contributes to research initiatives like the CELL-MET and PATHS-UP Engineering Research Centers, emphasizing practical applications in medical device development and manufacturing processes. Her teaching expertise includes online course design for dynamics and engineering education. Research interests span prosthetic limb optimization, biomechanical modeling of bones and joints, and advanced manufacturing techniques (e.g., injection molding for medical devices). She integrates computational methods like finite element analysis (FEA) to improve material selection and structural performance in medical devices. Recent work emphasizes low-cost prosthetic solutions and gait analysis for amputees, reflecting a commitment to accessible healthcare technology. Her publications highlight innovations in polycentric knee prosthetics, intervertebral disc modeling, and bone tissue simulation using Monte Carlo methods. Collaborations include interdisciplinary teams addressing challenges in spinal surgery and orthopedic rehabilitation. No specific awards are noted, but her contributions to engineering education and medical device innovation are central to her profile. Labs and affiliations include the CELL-MET ERC and PATHS-UP ERC at FIU, where she advances research in biomaterials and assistive technologies. She advises graduate and undergraduate students on projects involving computational modeling and medical device prototyping, though no named advisees are listed. Contact: cmullerk@fiu.edu.