جست‌وجوی استاد و پژوهشگر

Chris Floodمشاهده پروفایل

استاد

• Health Economics
• Artificial Intelligence in Healthcare
• Mental Health Nursing
• +۳ مورد دیگر

Professor Chris Flood serves as Professor of Healthcare Practice at London South Bank University's School of Health and Social Care, holding a joint appointment with Central London Community Health Care Trust. His work focuses on developing research capacity across higher education, NHS, and industry sectors, exemplified by leadership in the REACT Innovations centre which integrates clinical colleagues, health services researchers, and engineers. His educational background includes a PhD in Mental Health (2008-2012), MSc in Economic Evaluation and Quantitative Methods in Health Care (2000-2002), and Technology Enabled Academic Practice certification (2016). Career progression shows advancement from Lecturer (2006-2010) to Senior Lecturer (2010-2019) at City University of London, then Associate Professor (2019-2021) before achieving Professorship at LSBU. Research interests center on health economics methodologies applied to AI-driven healthcare systems, with particular expertise in designing economic evaluations for clinical trials. His work spans AI applications in NHS outpatient management (ADROITNESS project) Cardiology diagnostics (EASE study) Mental health nursing economics Vulnerable population interventions including stroke survivors and older LGBTQ+ communities Cost-utility analyses using Standard Gamble and Time Trade Off methodologies Recent publications demonstrate strong focus on AI implementation in healthcare settings, with 9 of 15 most recent articles addressing artificial intelligence applications. Key scientific recognition includes the 2023 Academy of Medical Sciences networking grant for international early childhood intervention research and Nuffield Foundation funding for Transformative Justice studies. He provides economic evaluation support for the NIHR-funded Public Health Intervention Responsive Studies Team. As an active PhD supervisor, Professor Flood has developed specialized modules addressing health inequalities including Homeless Health and Population Health. His external roles include Non-executive directorship at London Cyrenians Housing since 2021, supporting mental health and learning disability services. Current projects involve international collaboration through the University of Western Sydney and Institute of Health Visiting.

Mete Ahishaliمشاهده پروفایل

پژوهشگر

• Machine Learning
• Remote Sensing
• Medical Imaging
• +۴ مورد دیگر

Mete Ahishali is a Postdoctoral Researcher affiliated with the School of Forest Sciences at the University of Eastern Finland's Faculty of Science, Forestry and Technology. His research focuses on advanced machine learning techniques applied to remote sensing, medical imaging, and environmental monitoring. He is a core member of the Global Ecosystem Health Observatory (GEHO) research group since January 2024. His technical expertise spans hyperspectral image analysis, SAR image classification, domain adaptation networks, and medical image restoration. Key contributions include developing neural network architectures for tree mortality mapping, anomaly detection in industrial systems, and COVID-19 classification using X-ray images. Recent work demonstrates innovations in autoencoder-based band selection for hyperspectral imagery, self-attention fusion networks for cardiac diagnostics, and operational U-nets for wildfire detection. His research bridges theoretical machine learning advancements with practical applications in environmental science and healthcare. Notable technical skills include deep learning frameworks, remote sensing data processing, and medical imaging modalities. Current projects focus on scalable solutions for large-scale Earth observation data analysis and cross-modal medical imaging systems.

John Allenمشاهده پروفایل

استاد

• Vascular Optics
• Photoplethysmography (PPG)
• Medical Device Development
• +۳ مورد دیگر

John Allen is a Professor of Biosensors and Bioinstrumentation at Coventry University's Centre for Intelligent Healthcare. He previously served as a Visiting Professor at Newcastle University and held roles such as Clinical Scientist specializing in microvascular assessment. His research focuses on vascular optics, photoplethysmography (PPG), and AI-driven medical technologies. Allen has pioneered clinical-grade microvascular measurement facilities and leads a growing research team collaborating with institutions like ETH Zurich and A*STAR Singapore. Education: PhD in Medical Physics (Newcastle University, 2002) MSc Bioengineering (University of Strathclyde, 1989) Control Engineering (University of Sheffield, 1985) Research Interests: Vascular aging, microvascular assessment, PPG applications, and AI in healthcare diagnostics. His work contributes to UN Sustainable Development Goals related to health and innovation. Key achievements include over 1000 citations for his 2007 PPG review and awards like the 2024 Best Review Article Award. Projects include AI-driven PPG assessments and metrology for vascular optics. He actively collaborates internationally and engages in public outreach through podcasts and media. Grants and funding: Active projects include AI-Driven Photoplethysmography for Enhanced Physiological Assessment (2025) and PTB-led Metrology Bid (2023–2026). Labs/Teams: Cluster Lead for Intelligent Vascular Optics and Microvascular Sensing at Coventry University, with facilities for clinical-grade measurements and AI analytics.

Eduwin Pakpahanمشاهده پروفایل

استادیار

• Mixed Effect Models
• Longitudinal Data Analysis
• Life-course Models
• +۳ مورد دیگر

Eduwin Pakpahan is an Assistant Professor in Statistics at Northumbria University's Department of Mathematics, Physics and Electrical Engineering. He holds a Ph.D. from the University of Perugia (2012) and a Bachelor's degree in Statistics from Bogor Agricultural University. His research examines life-course health inequalities using statistical modeling. Core interests include mixed effect models for longitudinal data, dementia risk prediction in low-income countries, and socioeconomic determinants of aging. His work utilizes large cohort studies like SHARE and ELSA. Recent publications focus on dementia prediction models, health trajectories among vulnerable youth, and COVID-19 vaccine hesitancy. Articles show strong methodological rigor in biostatistics and epidemiology, with applications to global health equity. He co-leads the tNIVOW project on non-invasive ventilation weaning strategies for COPD patients, funded by the National Institute for Health Research. His research informs healthcare protocols and social policy for aging populations.

Takaaki Kobayashiمشاهده پروفایل

استادیار

• Infectious Disease
• Hospital Epidemiology
• Antimicrobial Stewardship
• +۲ مورد دیگر

Takaaki Kobayashi, MD, PhD, MPH is an Assistant Professor at the University of Kentucky in the Internal Medicine - Infectious Disease division. His academic focus spans infectious disease management, healthcare epidemiology, and AI applications in diagnostic medicine. Research Themes : Antibiotic optimization, vaccine efficacy, healthcare-associated infections, and AI-driven clinical decision support. Clinical Expertise : Complex infections (e.g., endocarditis, neurobrucellosis, mycotic aneurysms) and tropical diseases. Methodological Strengths : Systematic reviews, meta-analyses, and health economics modeling. His recent work examines mNGS applications , long COVID disparities , and SARS-CoV-2 reinfection dynamics . Publications emphasize diagnostic challenges, therapeutic biases, and pandemic response strategies.

Ann Smithمشاهده پروفایل

مدرس ارشد

• Statistical Inference
• Condition Monitoring
• Predictive Maintenance
• +۷ مورد دیگر

Dr. Ann Smith is a Senior Lecturer in Data Science at the Department of Computer Science, University of Huddersfield. She is affiliated with the Centre for Efficiency and Performance Engineering and the Centre for Autonomous and Intelligent Systems. Her research focuses on statistical inference applied to industrial contexts, condition monitoring for predictive maintenance, and the reduction of input parameters in predictive classifiers. She is also engaged in promoting e-learning in mathematics and contributes to evidence-based healthcare diagnostics. Dr. Smith holds a PhD in Engineering, MSc in Applied Statistics, BSc in Mathematics, and PGCE(FE). She is a Knowledge Exchange Champion at the Isaac Newton Institute (University of Cambridge) and a Fellow of both the Institute of Mathematics and its Applications and the Higher Education Academy. Her educational background includes advanced degrees in mathematics and engineering, complemented by a PGCE in further education. Her international collaborations include visiting lecturer roles at Fuzhou Normal University (China) and Universität Greiswald (Germany). Key research areas include fault detection in mechanical systems, non-linear systems analysis, and autonomous abnormality assessment techniques. She actively participates in industry-focused initiatives like the Analysis for Innovators scheme and European Study Groups for Industry (ESGI). Dr. Smith’s scientific awards include Advanced Data Science Professional status and prestigious fellowships. Her work contributes to the UN Sustainable Development Goals, particularly in advancing quality education and industry innovation. She supervises PhD students and has published widely on topics ranging from coffee brewing optimization to genetic disorders linked to nasal polyps and bronchiectasis. Her recent articles highlight advancements in medical imaging techniques (e.g., PET/CT), fault detection in renewable energy systems, and mathematical modeling of industrial processes. She has delivered invited talks on predictive maintenance and participated in numerous international conferences, showcasing her interdisciplinary impact.

• Hydrogel Engineering
• 3D Bioprinting
• Human Mesenchymal Stem Cells (hMSCs)
• +۵ مورد دیگر

Murat Guvendiren is an Associate Professor in the Department of Chemical and Materials Engineering at New Jersey Institute of Technology. His research focuses on 3D bioprinting, bioink development, and stem cell engineering. Active research areas include hydrogel-based tissue engineering, biodegradable polymer blends, and machine learning-driven drug delivery systems Current projects involve automated cell culturing platforms and dual printing technologies for 3D scaffolds His recent publications highlight advancements in spatially controlled bioprinting, cardiac tissue engineering, and biodegradable mulch films. Key trends show interdisciplinary work combining materials science, biomedical applications, and computational modeling. Research outputs include 67 publications with an h-index of 31 and over 6922 citations. U.S. patents awarded for dual printing additive manufacturing and cell-laden hydrogel constructs (2022-2024) NSF grants: CAREER (2021), PFI-TT (2022), and earlier polymer ink projects

Chris Delcherمشاهده پروفایل

دانشیار

• Epidemiology
• Pharmacoepidemiology
• Substance Use Disorders
• +۴ مورد دیگر

Dr. Chris Delcher, an Associate Professor at the University of Kentucky, is a leading epidemiologist in the Department of Pharmacy Practice and Science and serves as Director of the Institute for Pharmaceutical Outcomes & Policy. His research bridges pharmacoepidemiology, substance use disorders, and public health surveillance systems. University of North Carolina Gillings School of Global Public Health (MS) University of Florida (PhD) His work focuses on analyzing prescription drug utilization patterns, evaluating drug policies, and enhancing surveillance methodologies in both high- and low-resource settings. Recent projects involve wastewater-based drug monitoring, overdose prediction models, and studying opioid-benzodiazepine co-use risks. Publications demonstrate a strong emphasis on substance use epidemiology , policy evaluation , and data science applications in public health. Key themes include the opioid crisis, healthcare disparities, and innovative surveillance frameworks. Dr. Delcher's team employs advanced geospatial analysis, machine learning, and multi-trajectory modeling to address critical questions in drug safety and population health outcomes. He actively collaborates on statewide harm reduction initiatives and national policy assessments.

• Epidemiology
• Cardiovascular Health
• Health Services Research
• +۳ مورد دیگر

Catarina Kiefe, Ph.D., M.D., is a Professor and holds the Melvin S. and Sandra L. Cutler Chair in Biomedical Research at the University of Massachusetts Chan Medical School, leading the Department of Population and Quantitative Health Sciences (PQHS). She previously served as the inaugural Chair of PQHS from 2009 to 2019 and currently serves as Chief Scientific Officer of PQHS and the Cutler Chair. Her research integrates mathematical rigor with clinical medicine, focusing on improving healthcare outcomes through epidemiological and health services research. Education: She earned a BS in Science from the University of Porto (Portugal), a Ph.D. in Mathematics from the State University of New York at Stony Brook, and an M.D. from the University of California, San Francisco. She completed her internal medicine residency at the University of Minnesota Hospitals and Clinics. Research Interests: Dr. Kiefe's work spans cardiovascular health, social determinants of health, geriatric conditions, and the application of data-driven approaches to healthcare improvement. She explores how factors like socioeconomic status, neighborhood environments, and psychological stress influence health outcomes, particularly in underserved populations. Her projects often combine quantitative methods with clinical insights to address disparities and improve patient care. Publications: Her 300+ peer-reviewed articles reflect her focus on cardiovascular epidemiology, health disparities, and healthcare quality. Recent work includes studies on atrial fibrillation survival prediction, social determinants of cardiovascular health, and the impact of historical redlining on obesity. Awards: Dr. Kiefe is Co-Editor-in-Chief of Medical Care , a premier journal in health services research. She has led numerous NIH-funded grants and mentors early-career researchers through training programs like the NHLBI T32 grant. Leadership: She promotes interdisciplinary collaboration and cohesion among teams, emphasizing translational research. Her roles include leadership in the Morningside Graduate School of Biomedical Sciences and affiliations with multiple programs in bioinformatics and clinical investigation.

• Statistics
• Bioinformatics
• Biostatistics
• +۷ مورد دیگر

Marepalli B. Rao is a Professor in the Department of Environmental Health at the University of Cincinnati's College of Medicine. He holds an Emeritus Professor title at North Dakota State University (NDSU), where he served from 1987–2003. His academic journey includes roles as Visiting Professor at the University of Pittsburgh and Lecturer at the University of Sheffield. Rao earned his B.S. and M.S. in Statistics from Madras University and a Ph.D. in Statistics from the Indian Statistical Institute. His research focuses on statistical methodologies with applications in bioinformatics, biostatistics, epidemiology, and genetic studies. Notable areas include damage models, survival analysis, and statistical genetics. Rao has contributed to over 200 peer-reviewed publications and serves on several editorial boards. His work often intersects with clinical and public health challenges, such as asthma epidemiology and environmental exposure analysis. Rao has led or collaborated on numerous grants, including NIH-funded studies on statistical genomics, tissue engineering, and pediatric allergy research. He has held leadership roles in academic committees and has mentored numerous Ph.D. students. His expertise in statistical design and analysis is applied across disciplines, from biomedical engineering to environmental health.

• Reproductive Medicine
• Genetics
• Embryology
• +۳ مورد دیگر

Tom Adriaenssens is an External employee in the School of Clinical Sciences at Vrije Universiteit Brussel, affiliated with the Department of Genetics Reproduction and Development. His research focuses on oocyte competence , cumulus cell gene expression , and biomarker discovery for reproductive medicine. Keywords : Oocyte development, Biomarkers, In vitro fertilization, Bioinformatics Recent Publications : Explored non-invasive cumulus cell analysis for embryo selection (2024), FSH administration in low responders (2024), and heparin dosing in cardiogenic shock (2024). His work combines reproductive biology with computational methods , targeting clinical applications in fertility treatments and legal frameworks for embryo management. He has served as an invited speaker at international conferences and as an editorial board member for Human Reproduction. Current research includes bioinformatic modeling of cumulus cell pathways for clinical biomarkers and critical care pharmacology in cardiology.

Hao Xiongمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Health Informatics
• Medical Imaging
• +۳ مورد دیگر

Hao Xiong is a Research Fellow at the Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University. He specializes in applying machine learning and artificial intelligence to healthcare challenges, including medical imaging, signal processing, and clinical diagnostics. His work bridges computer science and health informatics, focusing on applications like cough classification, medical prognosis modeling, and automated analysis of clinical interactions. Key research areas include neural networks, acoustic signal analysis, and deep learning for healthcare applications. His systematic reviews and models address issues such as wet/dry cough differentiation, esophageal fistula prognosis, and delirium-dementia correlations. He has contributed to advancements in brain extraction algorithms, logo detection frameworks, and multimodal clinical data analysis. Dr. Xiong has been recognized with prestigious awards, including the IBM Rational Prize in Software Engineering (2010) and Best Student Paper Award (2016). His work emphasizes interdisciplinary collaboration, evidenced by projects involving robotics, epidemiology, and wearable technology for health monitoring. Awards: IBM Rational Prize (2010), Best Student Paper (2016), First Place in Algorithms (2012), Mentoring in Visual Computing (2017/2018) Grants/Projects: Visual Computing and Big Data Analytics (2017-2018), multiple collaborations in healthcare AI His research portfolio includes over 40 peer-reviewed publications, showcasing his impact in health informatics, medical imaging, and machine learning applications.

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +۷ مورد دیگر

Huan Liu is a Professor at Arizona State University's School of Computing, Informatics, and Decision Systems Engineering, with research spanning artificial intelligence, edge computing, and interdisciplinary applications. His work bridges theoretical advances with real-world implementations across healthcare, transportation, and environmental systems. His primary research interests include: Artificial Intelligence and Machine Learning for complex system optimization Edge-Cloud Computing architectures for IoT and vehicular networks Medical image analysis and clinical decision support systems Graph neural networks and multimodal learning Privacy-preserving federated learning frameworks Recent publications demonstrate strong emphasis on applied AI, with 15+ 2025 papers addressing UAV swarm intelligence, medical diagnostics, and sustainable transportation through novel algorithmic approaches. Publication trends reveal consistent leadership in: Developing efficient edge computing solutions for dynamic environments Creating medical AI tools with clinical validation Innovating in graph-based and multimodal learning Applying optimization techniques to logistics and environmental challenges His work frequently appears in top venues including IEEE Transactions, Bioinformatics, and AAAI.

OKTAY ERAYمشاهده پروفایل

استاد

• Emergency Medicine
• Critical Care
• Toxicology
• +۳ مورد دیگر

Prof. Oktay Eray holds concurrent professorships at Bandırma Onyedi Eylül University (since 2021) and Akdeniz University (since 1999), both in the Faculty of Medicine. His primary affiliation is with the Department of Emergency Medicine at Bandırma, where he also leads the New Coronavirus (COVID-19) Commission. His academic roles include Department Head and various administrative positions such as Dean of the Faculty of Medicine at Bandırma and Deputy Dean at Akdeniz University. Research focuses on emergency care protocols, medical informatics, toxicology, and critical care diagnostics. He pioneered studies on sublingual oxygen saturation measurement, emergency triage systems, and the clinical utility of EEG in acute settings. Over 120 peer-reviewed articles reflect his expertise in trauma management, sepsis scoring, and renal colic diagnostics. Administrative contributions include coordinating EU-funded medical simulation projects (PROTSIM) and leading BAP-funded research on central venous oxygen saturation. He authored chapters in textbooks like Scientific Research in Health Sciences and contributed to trauma management guidelines. No formal awards are listed, but his extensive project leadership and publication record highlight his academic impact. Key innovations include AI-driven triage protocols and validation of bedside ultrasound for renal colic. Current interests involve optimizing nurse triage accuracy and improving emergency department workflow through digital tools. He remains actively involved in both clinical care and academic administration across multiple institutions.

Nathan Hemerlyمشاهده پروفایل

استادیار

• Cardiology
• Medical Diagnostics
• Artificial Intelligence in Healthcare
• +۳ مورد دیگر

Nathan Hemerly, DO is an Assistant Professor in the Department of Family and Community Medicine. He holds a Doctor of Osteopathic Medicine (DO) from the Philadelphia College of Osteopathic Medicine (2006), a BS in Bioscience and Biotechnology from Drexel University (2002), and completed an internship at Naval Hospital Camp Lejeune (2011–2013). He is board-certified in Family Medicine since 2013 and a member of the American Academy of Family Practice (2010) and American Osteopathic Association (2016). His research focuses on clinical diagnostics, including high-sensitivity troponin testing for acute coronary syndromes, AI applications in mammography screening, and pulmonology-dermatology intersections. His work emphasizes improving diagnostic accuracy and integrating technology into healthcare. Hemerly has received multiple awards, including the Dean’s Award for Excellence in Teaching (2022), Exceptional Teacher/Role Model (2022), and Teaching Site of the Year (2019, 2020). He was also awarded the Naval Commendation Medal (2017) for service. No advising or grant details are explicitly listed, though his teaching and clinical contributions are highlighted. No specific lab or team affiliations are mentioned in the provided materials.