جست‌وجوی استاد و پژوهشگر

Jennifer Veilleuxمشاهده پروفایل

استادیار

• Water Sovereignty
• Environmental Justice
• GIS and Counter-Mapping
• +۴ مورد دیگر

Dr. Jennifer Veilleux is an Assistant Professor in the Department of Cultural Geography at Wageningen University & Research. Her research focuses on water sovereignty, environmental justice, and the intersection of climate change with Indigenous knowledge systems. She employs interdisciplinary methods combining GIS, qualitative/quantitative data analysis, and participatory research with local communities to address water security challenges in transboundary watersheds such as the Nile, Mississippi, and Mekong Rivers. Veilleux emphasizes decolonizing spatial narratives through counter-mapping efforts to restore Indigenous placenames and perspectives. Her work examines how scale and colonial histories influence policy impacts on frontline communities, particularly in dam development projects and extractive capitalism. She collaborates with governments, militaries, and international organizations to evaluate development project efficacy while advocating for equity-centered approaches. Recently, she led the Mindmapping Climate Change and Research Intersections Symposium , showcasing frameworks for integrating art-based methods and participatory visual communication into climate research. Veilleux teaches courses on gender and diversity in transnational contexts, geopolitics, and climate entanglements. Her expertise spans environmental justice, human rights, and spatial policy analysis across Ethiopia, the USA, and other transboundary regions. She actively engages in policy advocacy through interdisciplinary research projects designed within the Sector Plan Spatial Issues framework at WUR.

Bo van der Rheeمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Optimization
• New Product Development
• +۲ مورد دیگر

Bo van der Rhee is a Professor of Operations Management at Nyenrode Business University , affiliated with the Faculty Research Center for Marketing & Supply Chain Management . He holds adjunct professor roles at the University of Utah and VinUni in Vietnam. His research focuses on New Product Development (NPD) , Supply Chain Optimization , and analytical modeling . He has published in top journals like European Journal of Operational Research and Production & Operations Management . Education: Master’s in Econometrics and Operational Research (Vrije Universiteit Amsterdam, 2003); PhD in Business (University of Utah, 2007). Teaching specialties include Operations Management, Supply Chain Management, and Statistics, with recognition through teaching awards from PTMSc, FTMSc, and EMBA programs. He led Nyenrode’s Educational Innovation taskforce and advanced digital testing. International collaborations include the University of Utah’s David Eccles School of Business, where he co-teaches. He has taught globally in Mexico, Finland, Germany, Vietnam, and the U.S. His work explores topics like IT infrastructure in NPD, safety inventory strategies, and market positioning of innovations. He serves as Nyenrode’s Director of Research and is an active reviewer for journals like Production and Operations Management . His research integrates quantitative methods with strategic business challenges.

Paul Gustafsonمشاهده پروفایل

استاد

• Bayesian Analysis
• Partial Identification
• Causal Inference
• +۵ مورد دیگر

Paul Gustafson is a Professor and Department Head in the Department of Statistics at the University of British Columbia (UBC). His research focuses on Bayesian analysis, partial identification, causal inference, measurement error, and evidence synthesis, with applications in epidemiology, public health, and biostatistics. He has authored two books: Bayesian Inference in Partially Identified Models (2015) and Measurement Error and Misclassification in Statistics and Epidemiology (2003). As an inaugural Statistics Editor of Epidemiology , he also serves as an Associate Editor of Biometrics . Gustafson has led the STRATOS initiative to strengthen analytic thinking in observational studies, particularly addressing measurement error and misclassification. His work emphasizes methodological advancements in handling complex data challenges, with contributions to understanding bias in epidemic curves and improving statistical practices in observational research.

Brigitte Stanglمشاهده پروفایل

مدرس ارشد

• e-tourism
• Digital Marketing
• Online Distribution
• +۵ مورد دیگر

Dr. Brigitte Stangl is a Senior Lecturer in Tourism and Director of the Centre for Digital Transformation in the Visitor Economy at the University of Surrey , within the Faculty of Arts, Business and Social Sciences . She holds a doctorate (2010) and two master’s degrees (2006, 2007) from the Vienna University of Economics and Business (WU Vienna) , specializing in Tourism & Leisure Studies and Small Business & Entrepreneurship. Doctorate in Tourism & Leisure Studies (WU Vienna, 2010) Master’s in Tourism & Leisure Studies (WU Vienna, 2006) Master’s in Small Business & Entrepreneurship (WU Vienna, 2007) Her research focuses on e-tourism , digital marketing , online distribution , and innovative pricing strategies. She employs mixed-method approaches, including advanced statistical techniques like CBSEM , PLS-SEM , and Typology Representing Network Analysis . Recent studies have explored the role of shared outdoor leisure spaces for dog guardians during the pandemic, phygital marketing to stimulate travel intentions, and the digitalization challenges in the Vietnamese Mekong Delta’s tourism sector. Her publications span interdisciplinary topics, including: Augmented reality experiences linked to sensation-seeking behavior Internet addiction continua and their impact on technology usability Dog-friendly accommodation decision-making via specialty OTAs Behavioral consequences of tourism website performance Co-creation in the experience economy Pay-What-You-Want pricing in tourism She has collaborated with institutions like the Institute for Tourism & Leisure Research (HTW Chur, Switzerland) and contributed to frameworks for destination website evaluation and social media investment returns . Her work emphasizes practical implications for stakeholders in tourism, hospitality, and digital innovation.

• Statistics
• Applied Mathematics
• Data Science
• +۴ مورد دیگر

Dr. Jessica Hargreaves is a Lecturer in Data Science at the University of York's Department of Mathematics. Previously, she held roles as a Lecturer in Statistics at Sheffield Hallam University and taught mathematics in secondary schools (2011-2014). She earned an MSci in Mathematics from Imperial College London and a PhD in Statistics from the University of York. Research Focus: Her work spans applied statistics in biology, chemistry, and sports analytics. Key areas include wavelet techniques for nonstationary time series analysis (e.g., circadian rhythms, EEG data), statistical methods in sports (attendance patterns, athlete career trajectories), and collaborations with professional sports organizations. She co-founded Quantitative Sports Analysis: York (QSAY) with Dr. Ben Powell and Dr. Rich Bingham. Roles & Affiliations: Impact Officer, EGPC Committee Member, and Vice-Chair of the Royal Statistical Society's Statistics in Sport Section. Research datasets are available via the University of York repository. Teaching & Scholarship: Specializes in integrating practical learning experiences, evidenced by publications like 'Work-related learning: benefits and challenges' (2019) and pandemic-era pedagogy studies.

Dinakar Jayarajanمشاهده پروفایل

دانشیار بالینی

• Marketing Analytics
• Market Dynamics
• Quantitative Modeling
• +۶ مورد دیگر

Dinakar Jayarajan is a Clinical Associate Professor of Marketing and Director of Graduate Business Programs at the Stuart School of Business, Illinois Institute of Technology. His roles include directing the Master of Business Administration (MBA), Master of Management, and M.S. in Marketing Analytics programs. He holds a Ph.D. in Business Administration (Marketing) from USC Marshall School of Business, an M.S. in Computer Science & Engineering from IIT Madras, and a B.Tech. in Computer Science & Engineering from the University of Kerala. His research focuses on applying quantitative models to marketing challenges, particularly examining interactions between new and used product markets (e.g., automobiles, groceries, online platforms). Earlier work explored computational linguistics techniques like lexical chain-based document clustering and semantic representation. He also develops innovative pedagogical methods in business education, emphasizing student autonomy and motivation. His publication trends show a transition from early computational linguistics research (2007-2009) to current marketing analytics and market dynamics studies. He advises multiple graduate programs and oversees curricula in analytics-driven business disciplines. Contact: dinakar.jayarajan@illinoistech.edu | Office: Conviser Law Center, Room 452

Khurram Nadeemمشاهده پروفایل

دانشیار

• Predictive Modeling
• Wildland Fire Occurrence Prediction
• Spatio-Temporal Processes
• +۴ مورد دیگر

Khurram Nadeem is an Associate Professor of Statistics at the University of Guelph, specializing in predictive modeling of ecological and environmental systems. His research focuses on leveraging big data analytics to address challenges in wildland fire prediction, agricultural sustainability, and statistical bioinformatics. He leads a lab offering graduate research opportunities in these areas and collaborates with organizations like the Canadian Interagency Forest Fire Centre (CIFFC). Education: PhD in Statistics, University of Alberta (2013) MSc in Statistics, University of Karachi (2005) BSc (Honours) in Statistics, University of Karachi (2003) Research Themes: Wildland Fire Prediction: Developing spatiotemporal models to forecast fire occurrences in British Columbia, aiding fire management strategies. Agro-Environmental Science: Integrating big data from precision agriculture and genomics to optimize sustainable farming practices under climate change. Statistical Bioinformatics: Analyzing microbiome data in livestock and crops to improve disease prevention and crop resilience. Media & Partnerships: Featured in University of Guelph news for wildfire research and Food from Thought initiatives. Seeks industry partnerships in forest fire analytics, environmetrics, and quantitative ecology. Advising & Grants: Supervises graduate students in Statistics and Bioinformatics programs. Offers postdoctoral positions in applied statistics for climate-agriculture linkages and microbiome modeling. Labs & Teams: Hosts a multidisciplinary lab focusing on environmental and agricultural data science. Collaborates with the Canadian Forest Service and agricultural stakeholders.

• Gender Studies
• Family Sociology
• Health and Aging
• +۳ مورد دیگر

CHENG Cheng is an Assistant Professor of Sociology at the School of Social Sciences, Singapore Management University (SMU), and a Lee Kong Chian Fellow (2022-2024). Her research focuses on gender, family, health, aging, and demography, examining how social inequalities arise through family dynamics. She holds a PhD from Princeton University and a BA from the University of Wisconsin-Madison. Education: PhD in Sociology, Princeton University, 2018 MA in Sociology, Princeton University, 2015 BA in Sociology, University of Wisconsin-Madison, 2012 (Comprehensive Honors) Research Interests: Her work explores gender power dynamics, wealth inequality, health disparities, and quantitative methodologies. Recent studies address green innovation’s impact on corporate performance and the role of environmental lawsuits in industry spillover effects. Awards: Lee Kong Chian Fellow (2022-2024) Teaching: Courses include Gender and Family and Research Methods in Sociology and Political Science . Professional Affiliations: Council Member of the Population Association of Singapore (2022-2025).

Cicero Eduardo De Sousa Walterمشاهده پروفایل

استادیار

• Innovation Management
• Business Management
• Organizational Behavior
• +۳ مورد دیگر

Cicero Eduardo De Sousa Walter is an Assistant Professor of business and management at the Federal Institute of Education, Science and Technology of Piauí (Brazil) , with affiliations to the University of Aveiro (Portugal) through the GOVCOPP research unit (Governance, Competitiveness, and Public Policy). He holds a Ph.D. in Business and Economics from the University of Aveiro and Master's and Specialization degrees in Management from the Polytechnic Institute of Bragança (Portugal). His research focuses on Innovation Management, Business Management , and Organizational Behavior , with a particular interest in innovation dynamics in small enterprises, consumer behavior, and education-related studies. He has received scientific awards for his research. His work spans institutions in Brazil and Portugal, emphasizing empirical analyses of innovation drivers, licensing models, and educational outcomes. Recent publications highlight trends in machine learning applications for patent licensing, Generation Z's privacy concerns , post-pandemic retail strategies , and innovation policy . Collaborations with researchers like Manuel Au-Yong-Oliveira and Cláudia Veloso reflect cross-institutional partnerships. His affiliations include the Competitiveness, Innovation, and Sustainability (CIS) research group and profiles in SCOPUS, Web of Science, and other academic indexers. Scientific awards include recognition for research contributions in business management and innovation. His work bridges quantitative and qualitative methodologies , with a focus on Portuguese and Brazilian contexts .

• Pediatrics
• Neurocritical Care
• Pediatric Cardiac Arrest
• +۷ مورد دیگر

Dr. Maayke Hunfeld is a researcher in the Department of Neurology at Erasmus MC, Rotterdam, specializing in pediatric neurocritical care. Her work focuses on improving outcomes for children after cardiac arrest, particularly through advanced neuroimaging and neurophysiological monitoring techniques. Her research interests span several interconnected domains: Pediatric cardiac arrest and resuscitation science Neurological prognostication using MRI and EEG Application of machine learning in predicting survival and recovery Long-term outcomes in pediatric neurocritical conditions such as traumatic brain injury and submersion injuries Development and validation of clinical prognostication guidelines The recent publications highlight a strong trend toward data-driven approaches in pediatric neurology, combining large observational datasets with advanced analytical methods. A significant portion of her work contributes to national and international efforts in standardizing care and outcome prediction in pediatric intensive care settings. Scientific contributions include: Co-leading studies in the PROGNOSE Group Collaborative Investigators Contributing to the development of a Dutch nationwide pediatric cardiac arrest registry Advancing neuromonitoring algorithms for traumatic brain injury Pioneering use of quantitative EEG with machine learning for survival prediction Dr. Hunfeld actively collaborates with multidisciplinary teams across Erasmus MC and national institutions, contributing to high-impact research in pediatric neurology and critical care. She has co-authored numerous peer-reviewed articles and doctoral theses, indicating active involvement in research training and academic mentorship. Her work is frequently published in leading journals such as Neurology , Pediatric Neurology , and Resuscitation Plus , and she is associated with open-access and data-sharing initiatives.

• Artificial Intelligence in Radiology
• Machine Learning
• Health Informatics
• +۲ مورد دیگر

Dr. Axel W. E. Wismüller is a Professor of Radiology and Biomedical Engineering at the University of Rochester Medical Center . As Director of the AI Radiology Laboratory , he uniquely combines clinical practice in cardiothoracic/body imaging with pioneering research in Artificial Intelligence (AI) for medical imaging . Holding MD, MSc (Physics), and PhD (Electrical Engineering) degrees from German institutions, he maintains dual US and German medical licenses and board certifications. Ludwig-Maximilians-Universitaet München (1990-1996) Technical University of Munich (MD 1992, PhD 2006) Ludwig Maximilians University Munich (Residency 1997-2005) His research focuses on machine learning and network connectivity analysis in neuroimaging, particularly for HIV-associated neurocognitive disorders and multiple sclerosis . He invented the XOM algorithm (patented in US/EU) and developed AI systems for chest radiograph analysis , breast cancer imaging , and osteoporosis diagnostics . His work on large-scale Granger causality has transformed brain network analysis methodology. Scientific awards include SPIE Senior Membership (2016), NIH/NIDA R01 funding (2012-2015), and NYSTAR public-private partnerships . Supervising over 30 PhD/MSc students across engineering, computer science, and medicine , he bridges clinical and computational disciplines through active roles in ACR, RSNA, and SPIE .

Kenyon Crowleyمشاهده پروفایل

مدرس

• Health Informatics
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Kenyon Crowley is an Affiliate Lecturer at the Robert H. Smith School of Business, University of Maryland, and serves as Managing Director of the Center for Health Information and Decision Systems (CHIDS). His work focuses on improving digital healthcare systems, data analytics, and health IT implementation. He holds a doctorate from the University of Maryland iSchool, specializing in mobile systems for chronic care management. Research & Education: Crowley’s expertise spans machine learning, AI ethics, health informatics, and human-computer interaction. He teaches courses in health IT strategy, telehealth, and mobile health app design. His research addresses algorithmic bias in healthcare, AI-driven synthetic data generation, and CGM data analysis for diabetes management. Professional Contributions: He has managed projects with government agencies, healthcare providers, and Fortune 500 firms. He reviews grants for NIH and NSF, and frequently presents at international conferences. Notable work includes frameworks for addressing health inequities via AI and segmentation studies for HIV prevention strategies in South Africa. Labs & Projects: Leads CHIDS initiatives to enhance healthcare analytics and digital solutions. Active in developing explainable AI systems for healthcare decisions and optimizing health IT adoption in public systems.

Ijlal Naqviمشاهده پروفایل

دانشیار

• Development Studies
• Urban Studies
• Political Sociology
• +۴ مورد دیگر

Ijlal Naqvi is an Associate Professor of Sociology and Associate Dean (Curriculum and Teaching) at the School of Social Sciences (SOSS), Singapore Management University (SMU). He holds a PhD in Sociology from the University of North Carolina at Chapel Hill (2011), a MALD from The Fletcher School of Law and Diplomacy (2004), and a BA in Economics from Middlebury College (1998). His work focuses on development studies, political sociology, and urban governance, with a particular emphasis on infrastructure and state processes of inclusion/exclusion. He is the author of Access to Power: Electricity and the Infrastructural State in Pakistan (Oxford University Press, 2022), which received an honorable mention for the American Institute of Pakistan Studies Book Award 2025. Naqvi’s research employs mixed methods, combining ethnography with quantitative analysis to explore themes like governance reforms, citizen engagement, and developmental state dynamics. His teaching spans undergraduate and graduate programs at SMU, including courses on public policy, global development, and the sociology of South Asia. He also contributes to executive education programs such as the Growing Infrastructure Asia Leaders Programme and Complexity and Emergence in Business and Administrative Systems . His articles address topics like infrastructure governance in Karachi, democracy attitudes globally, and frameworks for citizen-led research. He has collaborated on projects analyzing healthcare policy reforms in Singapore and urban citizenship strategies in Chennai, India. His work bridges theoretical sociology with practical governance challenges, emphasizing interdisciplinary approaches and participatory methodologies.

Jason W. Griffinمشاهده پروفایل

استادیار

• Autism Spectrum Disorders
• Social Cognition
• Face Processing
• +۱۲ مورد دیگر

Jason W. Griffin, Ph.D., is an Assistant Professor in the Department of Psychology at the University of Houston, within the College of Liberal Arts and Social Sciences. He is the Director of the Griffin Laboratory and holds affiliations with the Texas Center for Learning Disorders and the Texas Institute for Measurement, Evaluation, and Statistics. His research focuses on the cognitive and clinical neuroscience of autism, particularly social perception and face processing in children and adolescents. Dr. Griffin earned his Ph.D. from Pennsylvania State University and completed postdoctoral training at Yale University as a Hilibrand Postdoctoral Fellow. His work integrates neuroscience, clinical psychology, and quantitative methods to enhance the translational impact of autism research. His research interests include autism spectrum disorders, face processing, social cognition, electrophysiology, eye-tracking, and advanced statistical modeling. He employs tools such as EEG and intervention science to study neural and behavioral mechanisms in autism. His recent publications emphasize meta-analytic approaches, naturalistic neuroscience, and innovative methodologies for capturing social perception in real-world contexts. Dr. Griffin has received significant recognition, including the NOMIS and Science Young Explorer Award and the INSAR Slifka/Ritvo Innovation in Autism Research Award. He is funded by the National Institute of Mental Health (NIMH), Autism Science Foundation, Hilibrand Foundation, and others. Alumni Association Dissertation Award Distinguished Scholar Medal INSAR Slifka/Ritvo Innovation in Autism Research Award NOMIS and Science Young Explorer Award He mentors several doctoral students, including Samuel Turner, Ayesha Sultana, and Callie Istre, and leads a team of research assistants. His lab is supported by multiple grants aimed at understanding and improving social perception in autism. He also serves on the Early Career Committee for APA Division 3 and the editorial board of Autism . The Griffin Laboratory develops novel eye-tracking and EEG methods to study naturalistic neural responses in autistic children, supported by foundations such as the Alan B. Slifka Foundation and INSAR.

Joshua W. Reidمشاهده پروفایل

استادیار

• Biology Education
• Graduate Education
• Professional Learning
• +۶ مورد دیگر

Joshua W. Reid is an Assistant Professor in the Department of Biological Sciences at Texas Tech University, specializing in biology education research. His work focuses on graduate education, professional learning, and equitable practices in STEM. Education: Ph.D. in Mathematics and Science Education (Biology) from Middle Tennessee State University (2020) Research Interests: Graduate identity development, inclusive biology curriculum design, social network analysis, and AI ethics in education Current Projects: ChatGPT usage patterns, mentorship networks, graduate student persistence in STEM His lab employs qualitative, quantitative, and social network analysis methods, collaborating with institutions like Georgia Tech and University of Minnesota on graduate teaching dynamics and marginalized student success. Recent work emphasizes epistemic network analysis as a tool for science education research. Dr. Reid's team includes graduate researchers Kelli W. and Lauren L., with ongoing lab activities like the 2024 SABER conference presentations. The lab actively promotes diversity, equity, and inclusion through LGBTQ+ representation in curricula and anti-oppressive educational frameworks.