جست‌وجوی استاد و پژوهشگر

Po Yangمشاهده پروفایل

استاد

• Machine Learning
• Pervasive Computing
• Smart Sensing
• +۴ مورد دیگر

Professor Po Yang is a distinguished academic at the School of Computer Science , University of Sheffield , where he holds the title of Professor of Pervasive Intelligence . Previously, he led research at Liverpool John Moores University (2015-2019) before joining Sheffield. His educational background spans Wuhan University (BSc), University of Bristol (MSc), and Staffordshire University (PhD). Research Interests include Pervasive and Mobile Intelligence Machine Learning for Healthcare Smart Sensing Systems Data Science Applications in Precision Agriculture Image Analysis for Medical and Industrial Uses Publications (>100 journals, >80 conferences) demonstrate expertise in AI-driven solutions for Parkinson’s disease , Alzheimer’s progression , and agricultural pest management . His work integrates IoT , tensor multi-task learning , and federated learning to address real-world challenges. Grants totaling over £1.1M as Principal Investigator from Innovate UK , BBSRC , EPSRC , and other bodies focus on AI-enabled Sustainable Agriculture Mobile Intelligence for Pest Management Federated Learning Privacy Solutions IoT-based Healthcare Systems Labs & Teams include leadership of the Pervasive Computing Research Group and collaborative projects with institutions like MRC, Worldwide Universities Network, and industrial partners.

• Computational Biology
• Infectious Disease Epidemiology
• Mathematical Modelling
• +۳ مورد دیگر

Carolin Vegvari is a Visiting Researcher at the Department of Infectious Disease Epidemiology within the School of Public Health, Faculty of Medicine at Imperial College London. Education: PhD in Biological Anthropology, University of Cambridge Her research integrates computational biology with public health through stochastic simulation models of complex systems and clinical trial frameworks. Current projects focus on elimination strategies for neglected tropical diseases in collaboration with Roy Anderson. Her extensive portfolio includes antimicrobial resistance evolution analysis, environmental infectious disease risk mapping, obstetric care resourcing optimization, latent tuberculosis screening protocols for HIV patients, type II diabetes biomarker identification, pneumococcal vaccine development, and molecular resistance diagnostics. She also investigates cultural evolution dynamics through quantitative modeling of cognitive and social innovation processes.

Renata Ivanekمشاهده پروفایل

استاد

• One Health
• Epidemiology
• Veterinary Medicine
• +۹ مورد دیگر

Dr. Renata Ivanek is a Professor in the Department of Population Medicine and Diagnostic Sciences at Cornell University College of Veterinary Medicine. She serves as Co-Director of the Combined DVM-PhD Degree Program (2021-present) and Co-Director of the Cornell Institute for Digital Agriculture (2023-present). Education: D.V.M. (Faculty of Veterinary Medicine, University of Zagreb, 1997), MS in Veterinary Epidemiology (Royal Veterinary College & London School of Hygiene and Tropical Medicine, 2001), PhD in Comparative Biomedical Sciences (Cornell University, 2008) Her One Health research integrates epidemiology, veterinary medicine, public health, mathematical modeling, biostatistics, and machine learning to control infectious diseases in humans and animals. Key projects include enhancing antimicrobial stewardship in livestock, improving farm-to-fork food safety, and addressing ethical challenges in AI applications for veterinary systems. Her lab develops computational models for pathogen dynamics in agricultural settings. Recent publications focus on bacterial growth patterns on fresh produce, thermal inactivation of avian influenza in dairy, and data governance in digital food safety. Awards include the Zoetis Award for Veterinary Research Excellence, SUNY Chancellor's Award for Teaching, and recognition for the "Find CoV Control" app. She leads interdisciplinary initiatives bridging veterinary science, AI, and public policy. Scientific Honors M.Sc. scholarship (Croatian Ministry of Agriculture & World Bank, 2000) MENSA membership (2001-present) Phi Zeta 2nd place (2005) Mark Gearhart Award (2008) Texas A&M Outstanding Young Faculty Research Award (2012) Zoetis Award (2017) SUNY Teaching Excellence (2019) IFPA Tech Innovation Finalist (2022) The Ivanek Lab trains students and professionals in cross-sectoral approaches to infectious disease control, leveraging collaborations with public health institutions and agricultural agencies. Current research emphasizes predictive analytics for microbial risk in food systems and sustainable solutions for antimicrobial use in livestock.

Francisco Javier Brazo Sayaveraمشاهده پروفایل

دانشیار

• Physical Activity Surveillance
• Exercise Physiology
• Sports Performance Analysis
• +۵ مورد دیگر

Francisco Javier Brazo Sayavera is an Associate Professor at Pablo de Olavide University in the Department of Sports and Information Technology. He leads research at the Center for Research in Physical and Sports Performance (CIRFD) and collaborates with the AFSD Physical Activity, Health and Sport research group. His work focuses on physical activity surveillance, health promotion in youth, and sports performance analysis. Education: PhD in Exercise Physiology from the University of Extremadura (2011) His research spans physical activity patterns in children/adolescents, Mediterranean diet correlations with fitness, and movement behavior analysis during global health crises like the COVID-19 pandemic. Recent projects include the ACTIBESE intervention for schoolchildren, AEROBICOVID for post-pandemic recovery, and contributions to the Global Matrix 4.0 initiative. Current affiliations include: Pablo de Olavide University, Sevilla, Spain (2020–present) Active Healthy Kids Spanish Network (founding member) Global Observatory for Physical Activity (GoPA!) His methodological expertise includes systematic reviews, Delphi consensus models, and observational studies on physical activity determinants. Email: jbsayavera@upo.es

Benjamin W. Domingueمشاهده پروفایل

دانشیار

• Psychometrics
• Sociogenomics
• Quantitative Methods
• +۳ مورد دیگر

Benjamin W. Domingue is an Associate Professor at the Graduate School of Education , Stanford University, with affiliations including the Stanford Center on Early Childhood and Policy Analysis for California Education (PACE) . His research bridges psychometrics and sociogenomics , focusing on statistical tools for measuring educational outcomes and integrating genetic data into social science research. Education: PhD in Education, University of Colorado Boulder (Advisor: Derek Briggs, 2012) MA in Mathematics, University of Texas at Austin (Advisor: Uri Treisman, 2006) BS in Mathematics, University of Texas at Austin (2001) His work examines test score properties , response time analysis , and genetic influences on educational attainment . Recent projects include developing the Item Response Warehouse (IRW) resource and analyzing oral reading fluency during the pandemic . Key methodological contributions involve the InterModel Vigorish (IMV) for predictive accuracy and speed-accuracy tradeoffs in real-world settings. Scientific Awards Jacobs Foundation Research Fellow (2022–2024) Outstanding Reviewer for AERA Open (2019, 2018) AERA Division D Quantitative Dissertation Award (2013) Faculty Advising Award (2018–2019) His research spans collaborations with institutions like the University of California, Berkeley, University of Colorado Boulder, and The University of Texas at Austin. He has contributed to genetic moderation studies , item response theory , and healthcare provider behavior through psychometric approaches.

Giacomo Comoمشاهده پروفایل

استاد

• Distributed Control
• Energy Market
• Financial Market
• +۷ مورد دیگر

Giacomo Como is a Professor of Automatic Control at the Department of Mathematical Sciences "GL Lagrange" (DISMA) at Polytechnic University of Turin, Italy. He is a member of the Energy Center Lab and actively contributes to interdisciplinary research spanning Distributed Control , Game Theory , Network Systems , and Resilient Infrastructure . Research Focus : His work addresses stability analysis of dynamical flow networks, evolutionary game theory in social and epidemic models, and robust optimization in transportation and energy markets. Scientific Recognition : Recipient of the IEEE CSS George S. Axelby Outstanding Paper Award (2015) for contributions to networked control systems. Publication Trends : Recent articles explore population game stability , opinion dynamics in biased networks , and controlled evolutionary diffusion , reflecting his expertise in merging control theory with network science and social resilience . Key subfields include traffic signal optimization , imitation learning , and systemic risk modeling .

Zhong Liمشاهده پروفایل

دانشیار

• Water Resources Systems
• Machine Learning Applications in Hydrology
• Climate Change Impact on Hydrological Processes
• +۴ مورد دیگر

Zhong Li is an Associate Professor in the Department of Civil Engineering at McMaster University, specializing in water resources systems, environmental modeling, and machine learning applications. His research focuses on integrating advanced computational techniques with hydrological processes to address climate change impacts, infrastructure resilience, and water quality management. Key research areas include hydrological modeling under uncertainty, wastewater treatment optimization, and AI-driven environmental systems Develops hybrid models combining machine learning with physical/ontological frameworks for improved predictive accuracy Recipient of the 2025 University Scholar award at McMaster for mid-career research leadership Recent publications demonstrate expertise in global flood forecasting, membrane fouling prediction, SARS-CoV-2 wastewater surveillance, and climate change adaptation strategies. His work spans water treatment plants, Canadian river systems, and transboundary environmental challenges. Scientific Awards: University Scholar 2025 (McMaster University) Teaching responsibilities include courses in environmental engineering, water resources systems design, and specialized civil engineering studies. Collaborates extensively with interdisciplinary teams on infrastructure safety and sustainability projects.

Steef Koningsمشاهده پروفایل

پژوهشگر

• Health Economics
• Mental Health
• Schizophrenia
• +۴ مورد دیگر

Steef Konings is a postdoctoral researcher at the University of Groningen , affiliated with the Faculty of Science and Engineering and the PharmacoTherapy, Epidemiology and Economics department. His research focuses on health economic modeling in mental healthcare and public health interventions. Research Interests include: Cost-effectiveness analysis in psychosis treatment Economic modeling of schizophrenia and mental disorders Vaccine safety and reactogenicity evaluations Public health policy through tax interventions Chronic disease management (diabetes) Population health metrics Contact : s.r.konings@umcg.nl

• Applied statistics
• Clinical cancer research
• Controlled clinical trials
• +۵ مورد دیگر

Eva Skovlund is a Professor at the Department of Public Health and Nursing , Norwegian University of Science and Technology (NTNU), Faculty of Medicine and Health Sciences. Her work bridges applied statistics with clinical research in cancer, obesity, and chronic disease management. Education : PhD in Medical Statistics, University of Oslo (1990) MSc in Pharmacy, University of Oslo (1985) Research Interests : Eva focuses on applied statistical methods , clinical cancer research , controlled clinical trials , and drug safety assessment . Her work spans hypertension management in Nepal, neuro-oncology, and metabolic effects of bariatric surgery. Publication Trends : Recent articles (2021–2025) emphasize brain metastases prognosis hypertension interventions in South Asia pharmacokinetic studies in obesity statistical modeling for multimorbidity maternal and child health risks Scientific Contributions : While no specific awards are listed, her extensive peer-reviewed publications in Cancers , BMJ Open , Clinical Pharmacokinetics , and Tidsskriftet underscore her impact.

Mariëlle Aartsمشاهده پروفایل

استادیار

• Human-Centered Lighting
• Daylight Studies
• Light and Health
• +۴ مورد دیگر

Mariëlle Aarts serves as an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e), specializing in human-centered lighting research. Her work spans multiple research groups including Building Lighting and the Intelligent Lighting Institute, with office location at Vertigo 6.11. She also chairs the Board at the Light and Health Research Foundation SOLG at TU/e, where she promotes awareness of light's impact on human health and connects researchers in this field. Her research focuses on the intersection of lighting with human wellbeing, particularly examining daylight, electrical lighting, comfort, and energy considerations within the built environment. Aarts maintains special expertise in lighting applications for working environments and elderly populations, recognizing the distinct requirements for these groups compared to general populations. Her work extends to therapeutic applications of light for affective disorders and lighting conditions in medical facilities. Analysis of her recent publications reveals a strong emphasis on translational lighting research connecting engineering principles with health outcomes. Her work spans building science, environmental psychology, and public health domains, with particular attention to methodological improvements in light measurement, the impact of light on vision development, and the psychological effects of natural versus artificial lighting patterns. Aarts demonstrates consistent collaboration across international research teams, particularly with colleagues at TNO and other European institutions. Chairman of the Board, Light and Health Research Foundation SOLG at TU/e Former researcher at TNO (2001) Member of the Daylight Committee of the Dutch Lighting Foundation Aarts teaches multiple courses including 'Advancing light for human functioning', 'Physics of light and lighting design', and 'Healthy & sustainable living environments'. Her educational activities emphasize the practical application of lighting principles for human benefit, connecting theoretical knowledge with real-world implementation. Her research laboratory environment includes the Intelligent Lighting Institute where she collaborates on projects examining lighting's physiological and psychological impacts.

• Outdoor Sound Propagation
• Community Noise
• Urban Acoustics
• +۵ مورد دیگر

Jens Forssén is an Assistant Professor in the Department of Technical Acoustics , Vibroacoustics research group at Chalmers University of Technology . His work focuses on outdoor sound propagation , community noise , and urban acoustics , with a particular emphasis on the influence of meteorology , terrain , and soil properties on noise levels. Research Interests: Outdoor acoustics, urban soundscapes, road and train traffic noise, wind turbine noise, noise barriers, auralization techniques, and health impacts of environmental noise. Recent Trends: Analysis of low-frequency noise in urban environments, 3D noise mapping , digital twinning for urban design, and sonic crystal applications in noise reduction. Scientific Contributions: Publications on noise propagation models , auralization methods , traffic noise assessment , and health impact studies related to urban sound environments. Labs & Collaborations: Collaborates with the LISTEN project , SONORUS project , and HOSANNA project to develop urban noise mitigation strategies. His work includes partnerships with researchers like Wolfgang Kropp , Leon Müller , and Maarten Hornikx .

Fan Yang Wallentinمشاهده پروفایل

استاد

• Structural Equation Modeling
• Multivariate Statistical Analysis
• Psychometrics
• +۳ مورد دیگر

Fan Yang Wallentin is a Professor in Statistics at Uppsala University, Sweden, where she works in the Department of Statistics. She serves as the Coordinator for International Exchange Programs and has been responsible for the statistical consultant service at the department since 2009. Her academic career is deeply rooted at Uppsala University, where she earned her PhD in Statistics in 1997. Her educational background includes: PhD in Statistics from Uppsala University (1997) Professor Wallentin's research primarily focuses on structural equation modeling and multivariate statistical analysis, with particular applications in social and behavioral sciences. Her work bridges theoretical statistical advancements with practical applications across diverse fields including public health, psychology, economics, and education. She has made significant contributions to psychometrics, particularly in the development and validation of measurement instruments used in healthcare and education settings. Her methodology work addresses specification issues, robustness properties, and computational aspects of statistical models. Her publication record demonstrates an evolving research trajectory that has recently incorporated pressing global issues such as the statistical analysis of the COVID-19 pandemic, while maintaining her core expertise in structural equation modeling and related methodologies. Her work often involves cross-disciplinary collaborations, reflecting the broad applicability of her statistical expertise across healthcare, energy policy, and development economics. Among her notable recognitions: Arnberg Prize from the Swedish Royal Academy of Sciences (2000) for her PhD thesis "Non-linear structural equation models: Simulation studies of the Kenny-Judd model" Professor Wallentin has extensive experience providing statistical consultation to researchers in social and behavioral sciences. Her role as Coordinator for International Exchange Programs suggests active engagement in global academic networks. Her research has been applied in diverse contexts including pandemic response analysis, women's empowerment through microfinance, healthcare quality assessment, and educational statistics, demonstrating the versatility and impact of her methodological contributions.

Kathleen S. Berfieldمشاهده پروفایل

استاد بالینی

• Thoracic Surgery
• Lung Transplantation
• Thoracic Oncology
• +۲ مورد دیگر

Kathleen S. Berfield, MD is a board-certified thoracic surgeon and Chief of Thoracic Surgery at the VA Puget Sound HCS, with clinical roles at the UW Medical Center’s Thoracic Surgery Clinic and involvement in the UW Lung Transplant Program. She specializes in general thoracic oncology and end-stage lung disease management, including lung transplantation. Primary Affiliation: VA Puget Sound Health Care System Secondary Affiliation: University of Washington Medical Center Education: Residency at University of Washington Cardiothoracic Surgery (2016), Medical Degree from University of Washington School of Medicine (2010) Her research focuses on thoracic surgical techniques, lung cancer treatment, and post-transplant vascular complications. Recent publications highlight cost analyses of diagnostic procedures, surgical education frameworks, and safety protocols in cardiothoracic surgery. She actively promotes robotic thoracic surgery adoption and gender inclusion in surgical environments. Dr. Berfield serves as Program Director for the University of Washington Cardiothoracic Surgery Residency Programs, emphasizing surgical education. She has published studies on VATS lobectomy outcomes, aortic dissection repair post-transplant, and safety culture development in cardiothoracic surgery. Clinical Expertise: Robotic thoracic surgery, lung transplantation Research Themes: Surgical cost-effectiveness, educational methodologies, post-transplant complications

Nandini Dendukuriمشاهده پروفایل

دانشیار

• Biostatistics
• Diagnostic Test Accuracy
• Bayesian Inference
• +۵ مورد دیگر

Nandini Dendukuri, PhD is a Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) at the 5252 de Maisonneuve site. She holds dual affiliations with the Infectious Diseases and Immunity in Global Health Program and the Centre for Outcomes Research and Evaluation (CORE). Academically, she serves as an Associate Professor in the Department of Medicine, Faculty of Medicine and Health Sciences at McGill University, specifically within the Division of Clinical Epidemiology at the MUHC. Dr. Dendukuri's research program centers on the development of advanced statistical methodologies for diagnostic test accuracy evaluation in the absence of perfect reference standards. Her work spans Bayesian inference, latent class modeling, and meta-analysis techniques specifically designed for diagnostic accuracy studies. She has made seminal contributions to addressing methodological challenges such as conditional dependence between diagnostic tests, verification bias, and limitations of composite reference standards. Her research bridges theoretical statistical methodology with practical applications in infectious disease diagnostics, particularly tuberculosis where perfect reference tests are often unavailable. An analysis of Dr. Dendukuri's extensive publication record reveals consistent innovation in diagnostic test methodology with increasing sophistication in statistical modeling approaches. Her recent work (2024-2025) demonstrates expansion into diverse application areas including cardiovascular disease, emerging infectious diseases like COVID-19, and novel diagnostic technologies, while maintaining her core methodological focus. Her publications show particular strength in applying latent class models to complex diagnostic scenarios across multiple disease domains. Dr. Dendukuri actively collaborates with researchers across multiple disciplines, particularly in epidemiology, infectious diseases, and technology assessment. Her work with hospital-based technology assessment units has directly contributed to translating scientific evidence into healthcare policy. She maintains strong connections between statistical theory and practical healthcare applications, frequently developing software implementations (particularly rjags programs) of her methodological innovations to facilitate adoption by the research community.

Murray J. Côtéمشاهده پروفایل

دانشیار

• Healthcare Operations Management
• Health Services Delivery
• Predictive Analytics
• +۵ مورد دیگر

Murray J. Côté is an Associate Professor and PhD Program Director in the Department of Health Policy & Management at Texas A&M University Health Science Center . His work bridges quantitative methods with healthcare delivery challenges, particularly in rural settings. Education: BA in Political Science, MBA, PhD in Management Science Research Focus: Operational analysis, drone-aided healthcare, project management in rural hospitals Contact: mjcote@tamu.edu Dr. Côté specializes in healthcare operations management , examining systems for rural health service delivery , telehealth , and predictive analytics . His studies address information asymmetry in doctor-patient encounters and resource allocation in emergency services. His publications span journals like Decision Sciences and Health Care Management Science , with awards from the Decision Sciences Institute and Healthcare Financial Management Association . Recent work explores drone logistics for chronic disease management and cost-effectiveness analysis of diabetes prevention programs. Scientific Awards Decision Sciences Institute Research Awards Healthcare Financial Management Association Awards