جستجوی استاد راهنمای دانشگاهی

• Cardiovascular Epidemiology
• Sex and Gender Differences in Cardiovascular Disease
• Comparative Effectiveness Research
• +۵ مورد دیگر

Louise Pilote, MD, MPH, PhD is Professor of Medicine in the Department of Medicine, Division of Internal Medicine , McGill University , and Senior Scientist in the Cardiovascular Health Across the Lifespan Program at the Research Institute of the McGill University Health Centre (RI-MUHC) , Montréal, Canada. Education: Louise Pilote holds the combined degrees of MD, MPH, and PhD, reflecting advanced clinical, public-health and research training that underpins her translational work. Research Focus: Internationally recognized pioneer in sex- and gender-based cardiovascular epidemiology , developing novel gender indices to disentangle biological (sex) and sociocultural (gender) determinants of cardiovascular outcomes. Leads the multinational GOING-FWD consortium (Gender Outcomes International Group to Further Well-being Development), integrating sex/gender analytics across 30 cohorts totaling 30 million patients with chronic diseases. Authority on comparative effectiveness and pharmacoepidemiology leveraging administrative “Big Data”, clinical registries, and advanced biostatistical/machine-learning methodologies. Current clinical-translational projects include imaging-based diagnosis of coronary microvascular dysfunction , a condition disproportionately affecting women. Scientific Impact & Awards: While formal awards are not enumerated in the supplied text, Dr Pilote’s sustained leadership as senior author on major Canadian and international cardiovascular guidelines, her role in founding the GOING-FWD network, and her extensive publication record (398 PubMed-indexed articles, 1988-2025) collectively constitute significant peer recognition. Students & Mentoring: Specific trainee names are not provided in the text; however, as Professor at McGill and Senior Scientist at RI-MUHC she supervises graduate students, clinical research fellows, and post-doctoral researchers in cardiovascular epidemiology, data science, and gender medicine. Laboratories & Teams: Dr Pilote heads the cardiovascular epidemiology research group within the Centre for Outcomes Research and Evaluation (CORE) at RI-MUHC, coordinating a multi-disciplinary team of biostatisticians, data scientists, clinician-scientists, and trainees.

Veronica Millerمشاهده پروفایل

استاد مدعو

• Regulatory Science
• Drug Development
• Public Health
• +۴ مورد دیگر

Veronica Miller, PhD, serves as an Adjunct Professor at UC Berkeley School of Public Health and Director of the Washington, D.C.-based Forum for Collaborative Research, leveraging over 145 peer-reviewed publications to advance regulatory science and accelerate drug development for unmet medical needs through public-private partnerships spanning industry, regulatory agencies, and global health communities. Her academic foundation includes a PhD in Immunology and BSc in Microbiology from the University of Manitoba, complemented by postdoctoral training in Virology at UCLA and Cell Biology at the University of New Mexico. Dr. Miller's research pioneers regulatory science frameworks for HIV, viral hepatitis (HBV/HCV/CMV), and complex liver diseases, integrating multidisciplinary translational approaches across public health, medicine, data science, and regulatory policy to bridge biomedical innovation with global therapeutic access. Her disease-focused work addresses steatotic/cholestatic liver conditions and ocular diseases through collaborative models emphasizing patient-centered endpoints. Analysis of her 15 most recent publications reveals dominant themes in standardizing clinical trial endpoints for liver diseases, optimizing regulatory pathways for HIV prevention, and developing consensus definitions for rare disease indications—demonstrating consistent emphasis on data-driven regulatory decision-making and cross-sector collaboration. Her scientific recognition includes: Distinguished Advocacy Service Award from the American Association of Liver Diseases (AASLD) (2024) As an educator, Dr. Miller mentors future scientists through Berkeley courses including PH 236 (FDA Drug Development Policy) and PHW236A (Regulatory Science), while directing the Forum's Data and Analysis Center to transform clinical trial data into actionable insights for tissue imaging, biomarkers, and histopathology. Her leadership cultivates partnerships that address global health inequities in drug access. The Forum for Collaborative Research operates as a dynamic hub where multidisciplinary teams from public health, computer science, and regulatory affairs co-develop solutions for high-prevalence and rare diseases, exemplifying Dr. Miller's commitment to turning scientific discovery into real-world health impact.

Nathaniel Rosiمشاهده پروفایل

استاد

• Inorganic Chemistry
• Materials Chemistry
• Metal-Organic Frameworks
• +۲ مورد دیگر

Nathaniel Rosi is the Covestro Professor of Chemistry at the University of Pittsburgh's Dietrich School of Arts and Sciences, Department of Chemistry. His research focuses on designing and synthesizing new materials using chemical building blocks like metal clusters and biomolecules to create hierarchical structures with tailored properties for energy, medicine, and other applications. Research interests span inorganic and materials chemistry, metal-organic frameworks (MOFs), nanoparticle assembly, and sustainable energy materials. The Rosi Lab develops unifying design principles for organizing building blocks across multiple length scales, employing diverse synthetic methods and characterization techniques including NMR, TEM, X-ray diffraction, and sorption analysis. Scientific awards include: Chancellor's Distinguished Research Award (2014) Kavli Fellow (2012) ChemComm Emerging Investigator (2011) NSF CAREER Award (2010-2015) US Delegate for Transatlantic Frontiers of Chemistry Conference (2008) The Rosi Research Laboratory trains students in interdisciplinary approaches at the chemistry-biophysics interface and welcomes graduate students to explore its multi-disciplinary research environment.

Sandra Diaz Pierمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• High Performance Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Sandra Diaz Pier is a Scientific Lead at the Jülich Supercomputing Centre (JSC) within the Jülich Research Centre , Germany. Specializing in computational neuroscience , high performance computing (HPC) , and machine learning , she bridges neuroscience and advanced computational methods through her research. Education: B.Sc. in Electronic Systems Engineering, Mexico M.Sc. in Computer Science (focus: machine learning, quantum computing), Mexico Second M.Sc. in Electrical Engineering, Ontario, Canada Ph.D. in Computer Science, Germany (2021) Her research focuses on modeling and simulating brain dynamics and plasticity at multiple scales, leveraging HPC to accelerate large-scale neural network simulations. She actively contributes to EU projects like the Human Brain Project (HBP) , Virtual Brain Cloud , and EBRAINS 2.0 , emphasizing infrastructure development and educational training. Her work includes open-source tools such as the NEST simulator , The Virtual Brain , and L2L , enabling efficient parameter exploration and multiscale co-simulation frameworks. The 15 most recent publications highlight her interdisciplinary approach, spanning topics from quantum computing in biomolecular simulations to neural plasticity algorithms and cloud-based brain modeling . These articles reflect her expertise in integrating machine learning , multi-scale simulation , and HPC infrastructure for neuroscience challenges, including seizure propagation, Parkinson’s disease progression, and swarm intelligence in spiking networks. She leads technical coordination in projects like EBRAINS and serves as a task leader in the HBP infrastructure work package , while also organizing workshops and hackathons for open-source tools. Her role involves supporting domain scientists through methodological research and workflow optimization for brain simulations.

Aaron Krautمشاهده پروفایل

استادیار بالینی

• Medical Education
• Emergency Medicine
• Curriculum Development
• +۳ مورد دیگر

Aaron Kraut, MD is a Clinical Assistant Professor in the Department of Emergency Medicine at the University of Wisconsin School of Medicine and Public Health, where he has served since 2015 after completing residency training at Northwestern University as Chief Resident. His educational background includes: B.A. in Biology from Middlebury College Medical degree from University of Vermont Larner College of Medicine Residency at McGaw Medical Center of Northwestern University Dr. Kraut specializes in medical education innovation within emergency medicine, focusing on resident feedback systems, curriculum development, and adaptive expertise training. His work bridges educational theory with clinical practice through multi-institutional collaborations, emphasizing practical implementation of entrustable professional activities and assessment frameworks that enhance resident autonomy and clinical decision-making. Analysis of his 2020-2024 publications reveals dominant themes in competency-based assessment across specialties, particularly entrustable professional activities in emergency medicine and surgery residencies. His research consistently addresses resident feedback mechanisms, pandemic-driven educational adaptations, and efficiency metrics in clinical training environments, demonstrating a cross-cutting focus on data-driven program improvement and multi-institutional validation of educational tools. His significant recognitions include: UW Health Rising Star Educator Award Fellow of the American College of Emergency Physicians University of Wisconsin Emergency Medicine Residency Faculty Teaching Award Harvard Macy Institute Scholar Feinberg Academy of Medical Educators membership As a core member of the Emergency Medicine Education Research Alliance (EMERA), Dr. Kraut leads multi-institutional projects developing standardized curricula like the emergency medical services rotation framework and program evaluation systems such as the Continuous Residency Improvement Committee. His grant-funded work focuses on implementing educational innovations through mastery learning principles and graded responsibility models, with findings directly shaping residency program standards nationally. He maintains active involvement in resident mentorship and curriculum leadership within UW's emergency medicine residency program while balancing clinical duties, contributing to both educational scholarship and direct trainee development.

• Generative Programming
• Model-Based Development
• Software System Families
• +۷ مورد دیگر

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

Chunming Qiaoمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Optical Networks
• Wireless Networks
• +۶ مورد دیگر

Dr. Chunming Qiao is a SUNY Distinguished Professor and Chair of the Department of Computer Science and Engineering at the University at Buffalo (SUNY) , leading the Lab for Advanced Network Design, Evaluation and Research (LANDR) since 1993. His work spans cyber-physical systems , optical networks , and Internet of Things (IoT) , with a focus on safety, reliability, and protocol design. Education: PhD in Computer Science from the University of Pittsburgh (1993) BS in Computer Science and Engineering from the University of Science and Technology of China (1985) Dr. Qiao’s research interests combine theoretical and applied network design, including autonomous vehicles , quantum computing , and cloud services . He pioneered optical burst switching (OBS) and iCAR systems for wireless convergence, cited in BusinessWeek and Wireless Europe . His recent publications emphasize quantum networking , federated learning , and autonomous driving security , with projects on entanglement routing , edge inference optimization , and LiDAR adversarial attacks . Articles span IEEE and ACM venues , and include best paper awards . Scientific Awards: TC-CSR Distinguished Technical Achievement Award (2015) SUNY Chancellor's Award for Excellence (2013) IEEE Fellow (2009) UB Exceptional Scholar-Sustained Achievement Award (2005) Dr. Qiao has secured over two dozen NSF grants and collaborations with Google , Cisco , and NEC Labs . His 7 US patents and consulting experience highlight his industry impact, while his editorial roles and conference leadership underscore academic influence. He actively contributes to multi-disciplinary research through the New York State Center of Excellence in Bioinformatics and Life Sciences and CEDAR , advancing high-performance computing and document analysis .

Rashid Aliمشاهده پروفایل

استادیار

• Autonomous Systems
• Control Theory
• Aircraft Design
• +۴ مورد دیگر

Rashid Ali is an Assistant Professor at CEES School of Engineering, specializing in Autonomous Systems and Control Theory with a focus on Unmanned Aerial Vehicles (UAVs). His research integrates advanced control systems, energy storage solutions, and aerodynamics to enhance UAV performance and safety. He holds a Doctorate in Aeronautical Engineering from Loughborough University and a Postgraduate Certificate in Teaching from the University of Hertfordshire. Education/Academic Qualifications: Doctorate in Aeronautical Engineering (1983–1987), Loughborough University Postgraduate Certificate in Teaching & Learning (2006), University of Hertfordshire Bachelor's in Aeronautical Engineering (1978–1982), Loughborough University Research Interests include: Autonomous Systems and UAV Flight Control Propulsion and Energy Storage for Unmanned Aircraft Advanced Kalman Filter Applications in DSP Aerodynamics of Sniper Bullets and Wind Turbines His work emphasizes interdisciplinary collaboration across propulsion, avionics, and structural engineering to advance autonomous aviation technology. Key Research Trends: Recent articles focus on high-altitude UAV fuel systems, parametric cost models for aircraft design, and multi-point angle-of-attack sensing for flight safety. Collaborations span energy storage, environmental impact analysis, and mobile technology for rural applications. Scientific Awards: 2018 Faculty of Engineering and Computing & Maths Intellectual Property Competition Advising & Grants: Currently accepting PhD students and leading projects like the Skyfarer IUK Project (2020) on UAV technology. Active in the IMechE UAS Steering Committee, promoting standards for unmanned aerial systems. Labs/Teams: Engaged in cross-disciplinary research groups focusing on UAV design, control systems, and renewable energy integration. His work bridges academic innovation with industry applications in aerospace and energy sectors.

Clement A. Adebamowoمشاهده پروفایل

استاد

• Cancer epidemiology
• Genomics epidemiology
• Nutrition epidemiology
• +۶ مورد دیگر

Dr. Clement A. Adebamowo is a Professor in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine. He serves as Director of the Cancer Epidemiology Division and holds additional leadership roles as Associate Director of the Population Sciences Program, Associate Director of Diversity, Equity, Inclusion, and Accessibility, and Director of Global Health Cancer Research at the Marlene and Stewart Greenebaum Comprehensive Cancer Center. Education: BM, ChB Hons. - University of Jos, Jos, Plateau State, Nigeria (1978-1984) Sc.D. in Nutrition Epidemiology and minor in Biostatistics, Harvard University (2000-2004) Postgraduate Surgery (Oncology) - University College Hospital, Ibadan, Oyo State, Nigeria (1987-1993) Dr. Adebamowo's research program focuses on epidemiological and genomic risks, biomarkers discovery, early detection and prevention of breast and cervical cancers. His work integrates multiple disciplines including cancer epidemiology, genomics epidemiology, nutrition epidemiology, non-communicable disease research, and research ethics. He directs the NIH-funded African Collaborative Center for Microbiome and Genomics Research (ACCME) as part of the H3Africa initiative, which examines genomic and epidemiologic risk factors for persistent high-risk HPV infections, cervical cancer, breast cancer, uterine fibroids, and Hepatitis infections in a cohort of approximately 12,000 women followed every six months. His recent publication portfolio reveals a strong concentration on HPV-related research, cervical cancer epidemiology, and genomic risk factors, with emerging work on data science applications in African health research. His studies increasingly integrate multi-omics approaches including host germline genomics, somatic genomics, viral genomics, epigenomics, microbiome, proteomics, and metabolomics data to understand cancer etiology and develop prevention strategies. Scientific Recognition: PRIM&R Jeff Cohen Service Award (2022) for pioneering work establishing research ethics infrastructure in Nigeria and West Africa Mamadou Gueye Prize of the West African College of Surgeons Member of multiple prestigious advisory boards including Keystone Symposia and Fogarty International Center Dr. Adebamowo directs several major NIH-funded training programs in Research Ethics, Responsible Conduct of Research, and Research Methodology, having developed comprehensive multi-disciplinary graduate programs across Africa. His current grant portfolio includes the Baltimore CASCADE Study Site (BaCSS Project), Knowledge, Attitude and Recommendations study on iPSC creation, Scaling Up Research Ethics and Research Integrity (SURER) Project, Bridging Gaps in the ELSI of Data Science Health Research, and Point of Care Diagnostic test for Molecular Subtyping of Breast Cancer (PoCBreCa) Study. As Director of ACCME, Dr. Adebamowo leads a large international research team conducting groundbreaking genomic and epidemiological studies across Africa. His work has established significant research capacity for ethical research and scientific investigation in Nigeria and other West African countries, with documented implementation of over 150,298 online training modules. His development of the Food Frequency Questionnaire (FFQ) for African foods and Food Composition Database (FCD) represents important methodological contributions to nutritional epidemiology in Africa.

Dorukalp Durmusمشاهده پروفایل

استادیار

• Lighting Engineering
• Color Science
• Building Energy Efficiency
• +۵ مورد دیگر

Dorukalp Durmus serves as Assistant Professor in the Department of Architectural Engineering within the College of Engineering at Pennsylvania State University, where he directs the Lighting Laboratory. His research integrates fundamental visual perception studies with applied lighting system design to address critical challenges in energy efficiency, human health, and environmental sustainability. Dr. Durmus's work spans adaptive illumination systems , color science , and human-environment interactions , with specialized focus on circadian rhythm optimization, light pollution mitigation, and art conservation applications. His laboratory conducts cross-disciplinary research examining socioeconomic, sociotechnical, and socio-cognitive dimensions of lighting design through both controlled human subject experiments and real-world system implementations. Analysis of his 2024-2025 publications reveals dominant research trajectories in spectral optimization for specialized applications (art conservation, circadian health), behavioral responses to lighting environments, and sustainability frameworks addressing ecological impacts of artificial lighting. His work consistently bridges engineering precision with human-centered outcomes across diverse contexts from museum preservation to urban ecosystems. Scientific recognition includes: Lighting Industry's 40 Under 40 (2024) Dr. Durmus leads the Lighting Laboratory's cross-disciplinary team that secured Penn State's energy and environmental seed grants for projects including 'Assessing Energy Impacts of Electric Lighting Using Alternative Spectral Sensitivities' and 'Developing Tools for Urban Lighting Systems Supporting Healthier Circadian Cycles'. The laboratory maintains dual research tracks: fundamental investigations into human visual responses to stimuli, and applied development of lighting systems for optimized energy consumption, occupant well-being, and ecological compatibility.

Helen Huangمشاهده پروفایل

دانشیار

• Biomechanics
• Neuroengineering
• Locomotion
• +۳ مورد دیگر

Helen Huang is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). She directs the Biomechanics, Rehabilitation, and Interdisciplinary Neuroscience (BRaIN) Laboratory, where her team—comprising students from biomedical, mechanical, and electrical engineering—investigates motor adaptation, gait neuromechanics, and rehabilitation technologies. Her lab focuses on brain dynamics during locomotion, robotic rehabilitation devices, and advanced EEG/EMG methodologies for young and older adults. Education: Huang holds a B.S. in Materials Science and Engineering from MIT and M.S./Ph.D. in Biomedical Engineering from the University of Michigan. Prior to academia, she worked as a materials engineer at Michelin and completed postdoctoral training at the University of Colorado and University of Michigan. Research Focus: Her interdisciplinary work bridges biomechanics, neuroengineering, and rehabilitation science. Key areas include: Motor adaptation and brain dynamics during gait perturbations Robotic interventions for balance and fall prevention in aging populations Novel electrophysiological methods (EEG/EMG) for movement analysis Neuromechanical factors in interlimb coordination and stability Publication Trends: Her recent articles (2018-2024) demonstrate evolving emphasis on EEG artifact mitigation, gait perturbation responses in aging, wearable sensor development, and equity in neurodiagnostics. Methodologically, they integrate biomechanical modeling, clinical psychophysiology, and rehabilitation technology validation. Awards & Honors: 2021 UCF Reach for the Stars & Research Incentive Award 2020 UCF Luminary Award and ASB President’s Award NSF CAREER Award for EEG artifact research Invitation to U.S. National Academy of Engineering symposium (2019) NIH grantsmanship fellowship (2017) Grants & Leadership: NIH/NIA R25 multi-PI for diversity in aging research (2023-2028) NIH R01 PI for gait perturbation studies (2017-2022) Leads BRaIN Lab with cross-disciplinary student teams Teaching: Courses include Advanced Biomechanics (BME 6215), Engineering Biomechanics (BME 3211), Bioinstrumentation (BME 6500), and special topics in biomedical engineering.

Joshua I Glaserمشاهده پروفایل

استادیار

• Computational Neuroscience
• Neural Control of Movement
• Interpretable Machine Learning
• +۷ مورد دیگر

Joshua I Glaser is an Assistant Professor at Northwestern University, holding dual appointments in the Department of Neurology (Feinberg School of Medicine) and the McCormick School of Engineering. His research focuses on computational neuroscience, particularly the neural control of movement and interpretable machine learning. Glaser earned a BS in Physics and Math from the University of Illinois Urbana-Champaign (2011), a PhD in Neuroscience from Northwestern University (2018), and completed postdoctoral training at the University of Pennsylvania and Columbia University. Research Interests: Glaser’s lab develops interpretable machine learning tools to understand neural computations underlying movement and behavior. Key areas include neural population interactions, flexible behavior control, and disease-related neural dynamics. Projects include interpretable dimensionality reduction, decoding models linking neural activity to behavior, and multi-population neural interaction analysis. Lab & Collaborations: The Glaser Lab collaborates with experimental neuroscientists and statisticians. Current projects involve developing novel methods for analyzing neural data while maintaining interpretability. They host a team of PhD, master’s, and undergraduate students. Grants & Awards: While no specific awards are listed, his work reflects sustained funding in computational neuroscience and engineering. Code & Resources: Lab-developed tools include Neural_Decoding (machine learning for neural decoding), SSM (state-space models), and Sparse Component Analysis (interpretable latent factor analysis). These are publicly available on GitHub.

Michael Möllerمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Inverse Problems
• +۲ مورد دیگر

Michael Möller is a Professor at the University of Siegen, leading the Lehrstuhl für Computer Vision within the Institute for Vision and Graphics. His research spans computer vision, machine learning, and optimization, with applications in medical imaging and computational geometry. Research Interests: Focuses on solving inverse problems in imaging, neural architecture optimization, and quantum-hybrid computational methods. His work integrates deep learning with traditional optimization for scalable solutions in 3D reconstruction and image analysis. Publications: Recent articles explore advancements in neural architecture search robustness, quantum annealing for shape matching, and data-driven regularization techniques for CT reconstruction, reflecting cross-disciplinary applications.

Daniel Rothمشاهده پروفایل

استاد

• Artificial Intelligence
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Prof. Dr. Daniel Roth is a Professor of Machine Intelligence in Orthopedics at the TUM School of Medicine and Health at Technical University of Munich (TUM), appointed in September 2023. His research focuses on human-machine interfaces in medicine, including AI, virtual/augmented reality (XR) technologies for surgical assistance systems, disease diagnosis, and rehabilitation. Previously, he held a junior professorship in Human-Centered Computing and Extended Reality at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Education: Bachelor's/Master's in Media and Imaging Technology (TH Köln) PhD in Computer Science (Julius-Maximilians-Universität Würzburg) Research Interests: Roth’s work integrates AI and extended reality to solve healthcare challenges. Key areas include: XR-based surgical training and teleconsultation systems AI-driven analysis of surgical workflows Embodiment in virtual environments for medical applications Accessibility technologies for visually impaired users Publications: Recent work emphasizes immersive medical visualization, telemedicine systems, and user embodiment in VR. Key themes include: XR applications in surgery and patient care 3D teleconsultation for emergency scenarios AI-enhanced anatomy visualization Awards: Best Demo Honorable Mention (IEEE VR, 2021) Best Poster Award (ISMAR, 2020) IEEE TVCG Best Journal Paper (2018) Grants & Teams: Active in interdisciplinary projects at Klinikum rechts der Isar. Collaborates with industry partners on AR/VR healthcare solutions. No formal advisee list is provided, but his work involves multi-disciplinary teams. Labs/Teams: Leads machine intelligence initiatives in TUM’s medical school, focusing on translational research between engineering and clinical practice.

John G. Parkمشاهده پروفایل

پژوهشگر ارشد

• Critical Care Medicine
• Sleep Medicine
• Pulmonary Disease
• +۳ مورد دیگر

Dr. John G. Park is a Research Fellow at the Mayo Clinic College of Medicine and Science, specializing in Pulmonary Medicine , Sleep Medicine , and Critical Care . His work bridges clinical practice and research at Mayo Clinic's Rochester, Minnesota campus. Education : MD from Loyola University (1994), Residency at Cedars-Sinai (1997), Fellowship in Pulmonary/Critical Care (2002) and Sleep Medicine (2003) Board Certifications : Pulmonary Disease, Critical Care Medicine, Sleep Medicine (2009) Research spans critical care outcomes , ventilator-induced lung injury , and Pneumocystis carinii lifecycle . Publications focus on cardiogenic shock epidemiology , PAC utility , and congenital heart disease in ICU . Awards include DOM Humanitarian Award (2024), Internal Medicine Teaching Recognition (2023), and multiple Mayo Clinic Education Honors (2010-2023). Professional leadership roles: Chair of Safety IPE Workgroup , Executive Member of Global Critical Care Collaboration , and Education Committee member at American Academy of Sleep Medicine .