جست‌وجوی استاد و پژوهشگر

• Epidemiology
• Musculoskeletal Disorders
• Prognostic Research
• +۵ مورد دیگر

Professor Danielle Van Der Windt is a distinguished academic and epidemiologist at Keele University, specializing in Primary Care Epidemiology. She holds a professorship in the Department of Primary Care Epidemiology and is part of the university's executive management team. Her research focuses on musculoskeletal disorders, prognostic and diagnostic methodologies, and the impact of pain in chronic conditions. She has led international studies and contributed to clinical guidelines, such as the STarT Back approach for low back pain. Education: Earned her PhD in 1997 from VU University Amsterdam, focusing on shoulder disorders in primary care. She has held joint appointments between Keele and Amsterdam, strengthening her international research network. Research Interests: Includes musculoskeletal epidemiology, systematic reviews, trial methodology, and stratified care strategies. Her work emphasizes patient-centered approaches and the development of clinical prediction models, such as the eFalls tool for fall risk in older adults. Publications: Over 150 peer-reviewed articles, including studies on shoulder pain risk factors, personalized decision support systems (SupportPrim project), and the role of diabetes in frozen shoulder onset. Scientific Contributions: Editor for European Journal of Pain and member of Cochrane's Diagnostic Test Accuracy Editorial Team. Involved in large-scale initiatives like the OA Trial Bank and the GRAPPA Treatment Recommendations for psoriatic arthritis. Advising & Grants: Supervises MSc and PhD students, leading projects funded by grants from the NIHR and other bodies. Her work bridges clinical practice and research, aiming to improve patient outcomes through evidence-based strategies.

• Neurophysiology
• Stroke Rehabilitation
• Parkinson's Disease
• +۳ مورد دیگر

Dr. Liam Gerard Johnson is a Senior Lecturer in the School of Behavioural and Health Sciences at Australian Catholic University. His research focuses on neurophysiological responses to exercise, stroke rehabilitation, Parkinson's disease interventions, and traumatic brain injury recovery. He leads clinical trials investigating exercise protocols for neurological populations. His scholarly output examines the intersection of exercise physiology and neurorehabilitation, with emphasis on cardiorespiratory fitness testing safety, remote intervention delivery, and physical activity preferences in brain injury populations. Research consistently demonstrates benefits of exercise for cognitive function and brain-derived neurotrophic factors in stroke survivors. Key methodological contributions include developing telehealth frameworks for cognitive decline interventions and validating wearable sensors for energy expenditure measurement in stroke patients.

Felix Naughtonمشاهده پروفایل

استاد

• Health Psychology
• mHealth
• Smoking Cessation
• +۴ مورد دیگر

Felix Naughton is Professor of Health Psychology at the University of East Anglia's School of Health Sciences, with visiting positions at the University of Cambridge and honorary affiliation at the University of Nottingham. His research focuses on developing and evaluating digital health interventions for behavior change, particularly mobile phone-based systems for smoking cessation. He has pioneered tailored SMS systems and context-aware smartphone apps, with current work on nicotine replacement therapy for pregnant smokers. His research interests span mHealth technologies, smoking cessation methodologies, e-cigarette applications, and novel N-of-1 study designs. He maintains strong collaborations with international research teams and health organizations. Professor Naughton received the UEA Impact and Innovation Award and an Academic Fellowship from the Society for the Study of Addiction. He serves as President of the Society for Research on Nicotine and Tobacco in Europe and Associate Editor for the journal Addiction. His committee work includes advisory roles for NICE guidelines on tobacco dependence and digital health interventions. As a Registered Health Psychologist, he leads multiple national and international projects funded by NIHR and Cancer Research UK, focusing on innovative approaches to tobacco control and health behavior modification.

• Health-related quality of life
• Community participation
• Quantitative research methods
• +۴ مورد دیگر

Rachel Ibbotson BA(Hons), PCGSSRM serves as a Research Fellow within Health and Social Care Research (HSCR) at Sheffield Hallam University's College of Health, Wellbeing and Life Sciences. She coordinates the Centre's Fieldwork, Analysis and Statistics Team with over 18 years of experience securing research funding and managing health-related projects for diverse clients. Her research focuses on health-related quality of life measurement, community participation in healthcare, and fieldwork management methodologies. Expertise spans quantitative and qualitative research methods with specialization in health-based fieldwork administration, recruitment/training, and community involvement impact assessment. Current work examines pre-admission clinical experiences in radiography education and Roald Dahl Specialist Nurses' impact on pediatric care. Major funded projects include: Care Plus Housing (£9,900, 2013-2014): Resident/Tenant Attitudes to Care Provision EuroQol Group (€89,850, 2014): Valuing EQ-5D-5L health states Medical Research Council (£280,000, 2010-2012): Generic/condition-specific measures in NICE decision-making Shire Pharmaceuticals (£597,146, 2009-2011): ADHD impact on family wellbeing Epilepsy Research UK (£67,305, 2009-2010): Health economic evaluations in epilepsy Her publication portfolio demonstrates strong activity in health services research, with recent contributions to pediatric nursing, radiography education, and health economics methodology. Current projects investigate regional AHP workforce planning and imaging support worker deployment.

Murat Munkinمشاهده پروفایل

دانشیار

• Econometrics
• Health Economics
• Bayesian Analysis
• +۴ مورد دیگر

Murat Munkin is an Associate Professor in the Department of Economics at the University of South Florida. His research focuses on econometric methodologies, Bayesian analysis, and their applications in health economics, income inequality, and insurance markets. He specializes in discrete choice models, parameter estimation techniques, and finite mixture models to analyze complex economic behaviors and policy impacts. Key research areas include evaluating biases in econometric models (e.g., mixed logit, conditional logit), studying income-related health outcomes in China and Turkey, and exploring the role of Islamic finance in reducing income disparities. His work often integrates simulation-based methods and Bayesian approaches to address endogeneity, selection effects, and heterogeneous preferences in economic systems. Recent publications emphasize methodological advancements in econometrics, such as improving parameter recovery in mixed logit models and analyzing biases in bivariate models. He also investigates applied topics like bank capital risk in Islamic finance and the impact of insurance coverage on healthcare utilization. His interdisciplinary approach bridges statistical theory and real-world economic challenges, contributing to policy-relevant insights in health, finance, and education sectors.

Andrew Newmanمشاهده پروفایل

استاد

• Management Accounting
• Incentive Systems
• Internal Controls
• +۱ مورد دیگر

Andrew Newman is a Professor in the School of Accounting at the University of South Carolina's Darla Moore School of Business, where he has taught since 2013. His research examines management accounting, incentive systems, and behavioral aspects of organizational control, with publications in leading journals including The Accounting Review, Accounting Organizations and Society, and Contemporary Accounting Research. Research focuses on incentive structures, performance feedback mechanisms, and the behavioral implications of relative performance information in organizational settings. His work combines experimental methods with practical applications for financial control systems. Recent publications explore topics such as reward system design, auditor time management, pay transparency effects, and peer recognition dynamics, demonstrating consistent focus on how information and incentives shape workplace behavior. Awards and Honors: Best Paper Award, AAA Management Accounting Section (2016) Best Paper Award, AAA Management Accounting Section (2012) PwC INQuires Data Analytics Teaching Grant (2015) He teaches graduate courses in management accounting and control systems while serving on doctoral committees and leading curriculum development initiatives.

Honoria Guarinoمشاهده پروفایل

دانشیار

• Substance Use Interventions
• HIV/HCV Prevention
• Mixed-Methods Research
• +۳ مورد دیگر

Honoria Guarino is Research Associate Professor at CUNY's Graduate School of Public Health & Health Policy, affiliated with the Institute for Implementation Science in Population Health. She holds additional affiliations with NYU's Center for Drug Use and HIV Research and Dartmouth's Center for Technology and Behavioral Health. Research focuses on: Mixed-methods approaches to substance use Digital health interventions for harm reduction Social contexts of opioid misuse HIV/HCV prevention technologies Recent publications (2021-2024) cluster around: Opioid use patterns in marginalized populations Technology-enabled harm reduction strategies Structural barriers in HIV/HCV care Syndemic influences on substance outcomes Her work employs ethnographic and qualitative methods to examine how sociocultural contexts shape health behaviors and intervention effectiveness. Research spans young injection drug users, veterans, migrants, and chronic pain patients. Advises graduate students and oversees research projects examining behavioral interventions across vulnerable populations.

Ruijiang Gaoمشاهده پروفایل

استادیار

• Human-Centered Machine Learning
• Artificial Intelligence
• Causal Machine Learning
• +۶ مورد دیگر

Ruijiang Gao is an Assistant Professor in Information Systems at the Naveen Jindal School of Management, University of Texas at Dallas. He earned his PhD in Information, Risk, and Operations Management from UT Austin (2024), MA in Statistics from the University of Michigan (2018), and BS in Statistics from the School of the Gifted Young at University of Science and Technology of China (2016). His research focuses on human-centered machine learning , emphasizing robustness , interpretability , adaptability , and fairness in ML/AI models, including foundational models. Key contributions include: Human-AI collaboration frameworks with bandit feedback Counterfactual self-training techniques Contextual recourse bandit algorithms Uncertainty-aware domain adaptation Nonparametric discrete choice experiments for product design His work has been accepted at top ML/AI conferences (AISTATS, AAAI, NeurIPS, ICML, IJCAI, ICCV) and journals (Machine Learning, Management Science). Notable achievements include Best Student Paper at CIST 2022 and Best Paper Runner-Up at WITS 2024. Research grants and fellowships include the UT Austin Continuing Fellowship and INFORMS Data Science Workshop Scholarships. Current research trends include: Human-AI collaborative decision-making under confounding Counterfactual-aware model training Adaptive survey design for consumer preferences Uncertainty calibration in regression and domain adaptation Algorithmic fairness in contextual bandits He has previously collaborated with institutions including Netflix Research, Harvard University, IBM Research, Tencent, and Amazon.

• Machine Learning
• Data Science
• Education Technology
• +۳ مورد دیگر

Uzma Mushtaque is a Senior Lecturer in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). Her work bridges data science research and computing education. Prior to academia, she worked as a Senior Data Scientist at EY, focusing on credit and risk analytics. Her research interests include sequential recommender systems, improving computing education for future workforce needs, and time series forecasting for financial data. She developed the Instantutor peer-to-peer tutoring platform, combining content-based filtering and NLP for student-tutor matching. Her publications span recommendation systems, retail optimization, and consumer choice modeling. Research Interests: Sequential Recommender Systems (HydraRec architecture) Computing Education Innovation Financial Forecasting via Time Series Analysis Assortment Optimization in Retail Discrete Choice Modeling for Online Platforms Key Contributions: Instantutor platform (http://www.instantutorrpi.com) Applications of big data in consumer preference analysis

Mohsen Rakhshanمشاهده پروفایل

استادیار

• Brain-machine interfaces
• Neural prostheses
• Computational neuroscience
• +۵ مورد دیگر

Mohsen Rakhshan serves as an Assistant Professor in the Department of Electrical and Computer Engineering within the College of Engineering at the University of Central Florida. He leads the Laboratory for Interaction of Machine and Brain (LIMB) in the Disability, Aging, and Technology Research Cluster, focusing on ethical technological innovations to improve functional independence for older adults and individuals with nervous system injuries. His research spans Brain-Machine Interfaces , Neural Prostheses , and Computational Neuroscience , with specific projects including non-invasive sensory restoration for upper limb amputees, neuromorphic encoding for sensory compression, and intuitive robotic hand control. Current initiatives integrate Control Theory and Robotics to develop scalable tactile sensing systems. Analysis of his 15 most recent publications reveals a trajectory from theoretical control systems (2016-2019) toward increasingly neuroscience-focused work (2020-2024), particularly investigating sensory integration mechanisms in neuroprosthetics and neural correlates of decision-making under uncertainty. His computational approaches bridge engineering precision with biological plausibility. Honors include: BME Distinguished Fellowship from John Hopkins University E. E. Just Fellowship from Dartmouth College As a Technical Reviewer for IEEE journals and PLOS Computational Biology, he contributes to fields spanning neural networks, cybernetics, and cognitive systems. His laboratory emphasizes interdisciplinary collaboration between neuroscience and engineering.

Richard Hoflerمشاهده پروفایل

استاد

• Econometrics
• Health Economics

Richard Hofler is Professor of Economics at the University of Central Florida's College of Business, Department of Economics. His major research focuses on econometrics and health economics, with work funded by the National Science Foundation, National Institute on Minority Health and Health Disparities, and Agency for Healthcare Research and Quality. He has served as Department Chair and Interim Dean. Hofler's research examines economic efficiency in healthcare systems, health disparities in rural populations, and econometric modeling techniques. His recent articles analyze accountable care organizations, rural health outcomes, and statistical methods for count data analysis. His publications demonstrate consistent focus on healthcare economics, econometric modeling, and policy analysis. Research trends show increasing emphasis on health disparities in Latinx communities and methodological advances in stochastic frontier analysis. As former department chair and interim dean, Hofler has significant leadership experience in academic administration and graduate education.

Konstantinos Metaxoglouمشاهده پروفایل

دانشیار

• Econometrics
• Environmental Economics
• Energy Economics
• +۴ مورد دیگر

Konstantinos Metaxoglou is an Associate Professor in the Department of Economics at Carleton University, affiliated with the Faculty of Public and Global Affairs. He holds a Ph.D. in Economics from the University of California, Davis, and previously worked as a senior consultant and manager at Bates White LLC in Washington DC. His research focuses on Energy and Environmental Economics, Industrial Organization, and Applied Econometrics, with notable expertise in discrete-choice demand models, quantile applications in finance, and electricity market analysis. Dr. Metaxoglou has published extensively in top journals such as the American Journal of Agricultural Economics and the International Journal of Industrial Organization. His work frequently addresses environmental policy implications, energy market dynamics, and the economic impacts of climate change. Notably, he received the IJIO Best Empirical Paper Award in 2019 for his research on shale gas and electricity markets. His current research explores topics like nitrogen legacy effects in agriculture, coal trade impacts, and electric transportation challenges. Beyond academia, he contributes to policy discussions on sustainable resource management and energy transition strategies. Education: B.A. in Economics, University of Macedonia M.Sc. in Economics, University College London (UCL) Ph.D. in Economics, University of California, Davis Research Interests: Environmental and Energy Economics Quantitative Methods in Finance Industrial Organization Electricity Market Regulation Climate Change Mitigation Strategies Key Contributions: His work bridges empirical analysis with policy design, particularly in assessing market structures, carbon emissions, and productivity spillovers. Recent projects include analyzing the nitrogen pollution crisis in agriculture and the economic implications of shale gas on coal markets. Awards & Recognition: IJIO Best Empirical Paper Award 2019 Professional Activities: Dr. Metaxoglou collaborates with institutions like NBER and has authored over 20 peer-reviewed articles. He maintains active involvement in policy dialogues on energy transition and sustainable development, leveraging his expertise in econometric modeling to inform real-world decisions.

Junhong Minمشاهده پروفایل

دانشیار

• Relationship Governance
• Unstructured Data Analysis
• Brand Strategy
• +۲ مورد دیگر

Junhong Min is an Associate Professor of Marketing at Michigan Technological University's College of Business. His research examines relationship governance in B2B contexts, unstructured data analytics, and consumer behavior. Prior to academia, he worked as a senior research executive at Nielsen and Maritz Marketing Research. Publications emphasize experimental marketing research, brand strategy, and behavioral economics, with applications in alumni relations, sponsorship, and innovation management.

• Behavioral Finance
• Investment Decision Models
• Neural Networks
• +۳ مورد دیگر

Philip Yim Kwong Cheng is a Senior Lecturer affiliated with the Peter Faber Business School under the Faculty of Law and Business at Australian Catholic University. His research focuses on behavioral finance, investment decision models, and applications of neural networks in financial contexts. He has contributed extensively to understanding audit judgment, financial decision-making processes, and institutional impacts on organizational change. Key research themes include the interplay between emotions and investment decisions, risk perception in financial markets, and cognitive models in auditing. He has also explored topics like global sourcing partnerships in emerging markets and the role of knowledge systems in urban development. Cheng has published over 20 peer-reviewed articles in journals such as the Journal of Behavioral Finance, Computational Intelligence, and Journal of Knowledge Management. His work often bridges artificial intelligence techniques (e.g., fuzzy neural networks) with financial and organizational challenges.

William Matchamمشاهده پروفایل

استادیار

• Industrial Organization
• Household Finance
• Innovation
• +۴ مورد دیگر

Dr. William Matcham is an Assistant Professor (Lecturer) in Economics at Royal Holloway University of London, specializing in Industrial Organization, Household Finance, and Innovation. He holds a PhD in Economics from the London School of Economics (LSE), with prior teaching experience in microeconomics and econometrics at LSE. Education: PhD in Economics, LSE (2023) MRes Economics (Distinction), LSE (2018) MSc Econometrics and Mathematical Economics (Distinction, Ely Devons Prize), LSE (2015) BSc Econometrics (First Class Honours, Performance Prize), LSE (2014) Research Interests: Will’s work focuses on credit markets, patent screening, and innovation policy. He employs structural econometric models to analyze strategic behavior in financial markets and intellectual property systems. His recent studies include quantifying the social costs of patent screening and evaluating risk-based credit limits. Awards & Grants: Recipient of STICERD Grant (2020–2024) Paul Woolley Centre Scholarship (2022–2023) Thomas Edison Innovation Fellowship (2022–2023) Professional Affiliations: Research Affiliate at STICERD LSE, Research Scholar at the Institute for Fiscal Studies, and External Scholar at the Sunwater Institute. He also serves as an Academic Contractor for the UK Financial Conduct Authority. Teaching & Supervision: Currently teaches Industrial Economics II and supervises PhD student Matthew Baker. Previously taught econometrics and microeconomics at LSE. His pedagogical focus includes applying data analysis to financial decision-making. Publications & Media: Working papers under review at Econometrica and Journal of Financial Economics . Policy reports on patent quality have been covered by MarketWatch and IP Watchdog. Active in academic seminars and conferences globally.