جستجوی استاد راهنمای دانشگاهی

Lukas Wallrichمشاهده پروفایل

مدرس

• Workforce Diversity
• Organisational Performance
• Intergroup Contact Theory
• +۵ مورد دیگر

Dr. Lukas Wallrich is a Lecturer in Organisational Psychology at Birkbeck Business School, University of London. He holds a PhD in Social Psychology from Goldsmiths, University of London, and prior degrees including an MA in Education (Psychology) from UCL and a BA in Politics, Philosophy, and Economics from the University of Oxford. His research focuses on leveraging workforce diversity to enhance organisational performance, intergroup contact theory, and Open Science practices. He is a member of several academic societies including the Society for the Improvement of Psychological Science and the International Society of Political Psychology. Key research interests include the relationship between diversity and team performance, replicability in psychological research, and the impact of intergroup contact on societal attitudes. His work has been supported by grants such as the British Academy Small Research Grant and the Einstein Foundation Early Career Award shortlist. Dr. Wallrich teaches on organisational psychology master's programs and has contributed to R packages like timesaveR and metaUI to support open research practices. He has presented at conferences globally and led workshops on evidence synthesis and meta-analysis methodologies. His recent publications include comprehensive meta-analyses on team diversity and the development of the Replication Database to track replicability in psychological science. Dr. Wallrich also serves as a reviewer for multiple journals and an External Examiner for LSE's Management modules.

Brian Kellerمشاهده پروفایل

استادیار

• Missing Data Analysis
• Bayesian Statistics
• Statistical Computing
• +۳ مورد دیگر

Brian Keller is an Assistant Professor in the Department of Educational, School & Counseling Psychology at the University of Missouri's College of Education & Human Development. His research focuses on statistical methodologies, particularly missing data analysis, Bayesian statistics, structural equation modeling, and multilevel modeling. He is the developer of Blimp statistical software, which supports advanced statistical computing methods. Key areas of expertise include missing data imputation techniques, Bayesian computational methods, and the application of statistical models to educational and psychological data. His work emphasizes methodological innovation, software development, and the rigorous analysis of complex datasets. Recent research trends in his articles highlight advancements in latent variable modeling, nonlinear effects, and the integration of computational tools like Blimp. His contributions address challenges in multilevel models, missing data mechanisms, and model comparison criteria such as DIC and WAIC. No specific scientific awards are listed for Brian Keller in the provided information. His professional affiliations include the College of Education & Human Development and the Blimp Statistical Software initiative. He advises students in the department but no specific advisee names are provided. Research grants and funding details are not explicitly mentioned in the text. Blimp Statistical Software is a key collaborative project, reflecting his commitment to advancing statistical methods and software solutions for researchers.

• Sociology of Education
• Race and Ethnicity Studies
• Migration Studies
• +۳ مورد دیگر

Cristina Maria Pinto Roldão is a sociologist and Integrated Researcher at CIES-Iscte (Center for Research and Studies in Sociology) within the School of Sociology and Public Policy at ISCTE - Lisbon University Institute. She concurrently serves as a visiting adjunct professor at the Setúbal School of Education (ESE-IPS), where she co-coordinates the Roadmap for Anti-Racist Education since 2019. Her work bridges academic research and public advocacy on racism, Blackness, and educational equity in Portuguese society. Dr. Roldão's research centers on institutional racism in education, with focus on school exclusion mechanisms affecting African descendants and the reconstruction of Black history in Portugal. She develops critical pedagogical frameworks to dismantle Eurocentrism in curricula and intercultural education policies. Her scholarship connects migration studies, critical race theory, and post-colonial analysis, particularly examining ethno-racial data collection challenges and anti-racist praxis in institutional contexts. Her publication trends (2007-2019) reveal consistent engagement with educational inequality, evolving toward sharper focus on Black epistemologies and institutional racism. Early work analyzed policy interventions in disadvantaged districts, while her 2019 publications pioneered empirical studies on vocational tracking of African descendants and police violence in Lisbon's peripheries. All publications demonstrate methodological innovation in addressing Portugal's historical resistance to ethno-racial categorization. As a public intellectual, Dr. Roldão served as columnist for Público (2022-2024) and contributed to national policy initiatives including the National Plan to Combat Racism (2021/22) and 2021 Census ethnic-racial data collection. She co-edits the forthcoming Afroeuropeans: Identities, Racism, and Resistances (Routledge, 2025) and co-authored Tribuna Negra: Origens do Movimento Negro em Portugal (2023). She actively shapes institutional frameworks through leadership in the Center for Black European Studies and the Atlantic (Carnegie Mellon, 2023), the Black Europe Summer School (2025), and the 7th Afroeuropeans Conference (Lisbon, 2019). Her research group 'Migrations, Mobility and Ethnicity' at CIES-Iscte serves as hub for decolonial scholarship, while the Anti-Racist Education Roadmap she co-develops operationalizes critical race theory in teacher training.

• Social Work Practice
• Mental Health Social Work
• Social Work Education
• +۱ مورد دیگر

Faith Weekes is a Lecturer in Social Work (Practice) at Middlesex University, holding a primary appointment in the Mental Health & Social Work research institute. She is categorized as academic staff with no publicly recorded outputs or downloads listed. Her professional focus appears centered on social work practice and mental health social work, though specific research details are not provided in the source text. No grants, lab affiliations, or advising activities are documented here.

Sofia Stathiمشاهده پروفایل

استاد

• Social Psychology
• Intergroup Relations
• Prejudice Reduction
• +۲ مورد دیگر

Dr. Sofia Stathi serves as Professor in Social Psychology at the School of Human Sciences, Faculty of Education, Health and Human Sciences, University of Greenwich, where she has been employed since 2011 following prior academic positions at the University of Kent. Her educational background includes a BSc in Psychology from the University of Crete, Greece, and a PhD from the University of Birmingham, UK, establishing her expertise in psychological theory and research methodology. Education: BSc in Psychology, University of Crete, Greece PhD, University of Birmingham, UK Her research program centers on intergroup relations with exceptional depth in contact theory applications, investigating how imagined, vicarious, and nostalgic contact strategies can reduce prejudice across diverse populations including refugees, ethnic minorities, and children with disabilities. She examines critical psychological mechanisms such as meta-humanization, dehumanization, and social identity processes within conflictual settings, with cross-cultural studies conducted in Turkey, China, and Western contexts. Her work consistently bridges theoretical frameworks with real-world interventions, particularly in educational environments where contact strategies are implemented to foster inclusion. Analysis of her 2023-2025 publications reveals three dominant thematic trajectories: experimental testing of digital versus face-to-face contact modalities, exploration of populism's psychological foundations in intergroup violence, and refinement of meta-attitude accuracy models in conflict resolution. These works demonstrate methodological diversity spanning field experiments in schools, large-scale healthcare data analysis, and cross-national surveys, while maintaining conceptual cohesion around prejudice reduction mechanisms. The research shows increasing interdisciplinary integration with health psychology (addressing racial pain management disparities) and political psychology (examining collective action determinants). Dr. Stathi maintains active research leadership through school-based intervention development and theoretical contributions to contact hypothesis extensions, though specific grant funding details and student supervision records are not publicly documented. Her Twitter presence (@DrSofiaStathi) indicates ongoing engagement with contemporary social psychology discourse and dissemination of research findings to broader audiences.

Alwell Julius Oyetمشاهده پروفایل

استاد

• Longitudinal Data Analysis
• Spatial Data Analysis
• Time Series Analysis
• +۳ مورد دیگر

Alwell Julius Oyet is a Professor of Statistics in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He earned his B.Sc. (1986) and M.Sc. (1992) from the Federal University of Technology, Owerri, Nigeria, and his Ph.D. (1997) from the University of Alberta, Canada. His research focuses on longitudinal data analysis, spatial statistics, time series, statistical computing, multinomial data, and robust methods. He maintains active research collaborations in these areas. Oyet teaches undergraduate and graduate courses including Design of Experiments, Time Series Analysis, Multivariate Analysis, and Computational Statistics. He has extensive experience developing course materials and statistical computing resources.

Annalise Glauz-Todrankمشاهده پروفایل

دانشیار

• Religious Studies
• Race and Ethnicity Studies
• Law and Society
• +۳ مورد دیگر

Annalise Glauz-Todrank is an Associate Professor and Director of Jewish Studies at Wake Forest University's Department for the Study of Religions. She holds a Ph.D. in Religious Studies from the University of California, Santa Barbara (UCSB) and a B.A. from Hampshire College. Her work critically examines intersections of religion, race, and law in Jewish identification, with a focus on modern legal frameworks. Previously, she taught at Wesleyan University. Her research emphasizes antisemitism's legal categorization as a race-based crime, notably explored in Judging Jewish Identity in the United States (2022) and analyses of the Shaare Tefila case. Current projects include Jewish legal responses to U.S. abortion law post- Dobbs v. Jackson . She has published in Religion Compass , Critical Research on Religion , and edited volumes on Jewish ethics and identity. Her scholarship bridges critical race theory, legal history, and interdisciplinary approaches to Jewish studies. Office: 308 Divinity and Religious Studies Building; Contact: glauztae@wfu.edu.

John Loganمشاهده پروفایل

دانشیار

• Psychology
• Speech Perception
• Cognitive Science
• +۳ مورد دیگر

John Logan is an Associate Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. He holds a Ph.D. from Indiana University. His research focuses on spoken language perception, non-native speech perception, and word recognition in children. His work bridges cognitive psychology, forensic psychology, and linguistics, examining how personality traits like psychopathy influence speech perception and emotional processing. Dr. Logan's research explores the interplay between personality variables and speech perception mechanisms, particularly in contexts involving psychopathic traits, trauma, and non-native language acquisition. His recent studies investigate how psychopathy affects emotional recognition in spoken language and domestic abuse dynamics, while also analyzing disfluency patterns and vowel acoustics in speech production. His research has contributed to understanding deficits in prosodic perception among individuals with psychopathic characteristics and developing interventions to improve emotion recognition. He also studies cognitive constraints in acquiring non-native phonemes and employs neuroimaging techniques to explore decision-making processes in gambling scenarios. Though no specific awards or grants are listed, his extensive publication record reflects sustained contributions to speech perception, forensic psychology, and developmental cognitive science. Dr. Logan's work integrates experimental methods with computational analysis, addressing both theoretical and applied questions in language processing and mental health.

Teresa Condeمشاهده پروفایل

پژوهشگر ارشد

• Representation Theory
• Homological Algebra
• Quasi-hereditary Algebras
• +۲ مورد دیگر

Teresa Conde is a postdoctoral researcher at the BIREP group within the University of Bielefeld's mathematics department. She previously held postdoctoral positions at the University of Stuttgart and completed her PhD at the University of Oxford with master's and bachelor's degrees from the University of Coimbra. Her research focuses on representation theory, homological algebra, quasi-hereditary algebras, Ringel duality, and rank functions. Conde has made significant contributions to the understanding of Borel subalgebras and category-theoretic approaches to module theory. Her recent publications demonstrate continued productivity in algebraic structures, with works appearing in Journal für die reine und angewandte Mathematik, Advances in Mathematics, and Journal of Algebra. Research trends show consistent focus on decomposition theories and categorical methods in representation theory. Teaching experience includes serving as tutor and assistant professor at multiple institutions, including Algebra I instruction at Bielefeld and advanced mathematics courses at Stuttgart and Oxford.

Eugene Starkمشاهده پروفایل

استاد

• Operating Systems
• Programming Language Semantics
• Concurrency Theory
• +۳ مورد دیگر

Eugene Stark is a Professor in the Department of Computer Science at Stony Brook University, affiliated with the College of Engineering and Applied Sciences. His work focuses on theoretical foundations and practical applications in systems and programming languages. Educational Background: He earned his Ph.D. in Computer Science from the Massachusetts Institute of Technology (MIT) in 1984. Research Interests: His primary areas include Operating Systems, Programming Language Semantics, Concurrency Theory, Distributed Algorithms Verification, and Functional Programming Languages. He explores formal methods to ensure correctness and efficiency in complex systems, leveraging category theory for rigorous semantic frameworks. His work often addresses challenges in indeterminate dataflow networks and probabilistic models. Publications Overview: Stark’s recent articles emphasize categorical structures (e.g., residuated transition systems, bicategories) and probabilistic I/O automata. They reflect a trajectory from foundational theory to tool development for concurrent system analysis. Academy of Teaching Scholars award Department Award for Undergraduate Teaching (2000) Advising & Grants: No formal advisees are listed in current records. His research projects include the Probabilistic I/O Automata framework, CARA Infusion Pump specifications, and SAMSON Network Memory Server initiatives. Grants and funding details are not explicitly mentioned. Labs/Teams: He is associated with the Laboratory for 體魯 Institute of (1988), though the lab name’s full English title remains unclear. Collaborations likely extend to interdisciplinary projects involving formal methods and systems engineering.

Yongli Sangمشاهده پروفایل

دانشیار

• Statistics
• High-dimensional Inference
• Correlated Data Analysis
• +۳ مورد دیگر

Yongli Sang is an Associate Professor of Statistics in the Department of Mathematics at the University of Louisiana at Lafayette. She earned her Ph.D. in Statistics (2017) and M.S. in Statistics (2014) from the University of Mississippi, and holds a M.S. (2012) and B.S. (2009) in Mathematics from institutions in China. Ph.D. in Statistics, University of Mississippi (2017) M.S. in Statistics, University of Mississippi (2014) M.S. in Mathematics, Central China Normal University (2012) B.S. in Mathematics, Shandong Normal University (2009) Her research focuses on advanced statistical methodologies for high-dimensional data, time series analysis, nonparametric statistics, and robust statistical techniques for correlated data. She has developed innovative jackknife empirical likelihood methods for testing diagonal symmetry, homogeneity of variances, and K-sample problems with applications in diverse fields. Recent publications highlight her work on Gini correlations in high-dimensional settings, computational efficiency, and confidence interval estimation. She also explores transformations of linear processes and their memory properties, bridging theoretical statistics with applied data analysis challenges. At the University of Louisiana at Lafayette, she supervises Ph.D. student Sameera Hewage and teaches graduate courses including Mathematical Statistics, Regression Analysis, and Biometry.

Gaël Le Mensمشاهده پروفایل

استاد

• Judgment Under Uncertainty
• Learning Processes
• Social Dynamics
• +۳ مورد دیگر

Gaël Le Mens is Professor (Catedràtic) in the Department of Economics and Business at Universitat Pompeu Fabra, with affiliations at Barcelona School of Economics and UPF-BSM. An ICREA Acadèmia Awardee (2023-2027), he researches learning processes in individuals, organizations, and machines, examining how information sampling affects judgment and belief formation. Current research explores: Social media feedback dynamics and opinion polarization Conceptual categorization using LLMs (GPT-4, Llama 3) Reinforcement learning biases Wisdom-of-crowds phenomena His work combines computational modeling with experimental methods. Publications appear in top journals including Psychological Review (4 papers), PNAS (4 papers), and Management Science. Research themes show consistent focus on decision biases arising from sampling limitations, with recent expansion into AI-assisted text analysis and political scaling applications. Honors include: ERC Consolidator Grant for selective information sampling research Multiple publications in PNAS and Psychological Review ICREA Acadèmia recognition Mentored doctoral students include Elizaveta Konovalova, Nikolas Schöll, and Thomas Woiczyk. Leads the ERC-funded project 'Implications of Selective Information Sampling' examining belief polarization mechanisms. Affiliated with the Rebel Governance Network and Strategic Organization Design Unit, with visiting positions at INSEAD, London Business School, and Stanford GSB.

Anthony J. Carleseمشاهده پروفایل

دانشیار

• Critical Care Medicine
• Cardiac Surgery Intensive Care
• ECMO (Extracorporeal Membrane Oxygenation)
• +۵ مورد دیگر

Anthony J. Carlese, D.O., is an Associate Professor in the Department of Medicine (Critical Care) and Department of Cardiothoracic & Vascular Surgery at Albert Einstein College of Medicine. He serves as Medical Director of the Cardiothoracic Intensive Care Unit at Montefiore Medical Center's Moses campus, Medical Director of the Montefiore/Einstein adult Extracorporeal Life Support Program (ECMO), Medical Director of Respiratory Therapy (Moses campus), and Medical Director of the Adult Critical Care Physician Assistant Program. Dr. Carlese's educational background includes: Bachelor of Science in Chemistry from Villanova University (1987) Doctor of Osteopathy from New York College of Osteopathic Medicine (1991) Internship at Brookdale Hospital Medical Center (1992) Categorical Internal Medicine Residency at Beth Israel Medical Center (1995) Pulmonary Fellowship at Albany Medical Center (1997) Critical Care Medicine Fellowship at University of Pittsburgh Medical Center (1998) His research emphasizes clinical outcomes in cardiac surgery and ECMO programs and pioneering virtual reality applications for postoperative pain management and delirium prevention. Clinical expertise spans complex hemodynamic monitoring, care for patients after coronary bypass/valvular surgery, and management of next-generation mechanical circulatory support devices. Professional recognition includes: Fellow of the American College of Chest Physicians Dr. Carlese actively shapes medical education as Co-Director of Albert Einstein College of Medicine's Critical Care Medicine elective (K608) and through extensive ECMO-focused lectures across NYC. His leadership encompasses physician assistant program development and respiratory therapy oversight. He directs multidisciplinary teams in the Cardiothoracic ICU and ECMO program, integrating advanced mechanical assist devices and hemodynamic technologies to optimize critical care outcomes for complex cardiac and respiratory failure cases.

Zhushan Liمشاهده پروفایل

دانشیار

• Psychometrics
• Educational Research Methods
• Bilingualism & Immigration
• +۴ مورد دیگر

Zhushan "Mandy" Li is an Associate Professor in the Department of Measurement, Evaluation, Statistics & Assessment (MESA) at Boston College's Lynch School of Education and Human Development. She serves as Program Director for the Applied Statistics and Psychometrics M.S. program. Her roles include teaching courses like Multivariate Statistical Analysis and advising doctoral students. Education: Ph.D. from University of Illinois at Urbana-Champaign (2011), M.S. degrees from Southern Illinois University Carbondale (2008) and University of Illinois (2005). Research focuses on psychometrics and educational methods, including categorical data analysis and educational measurement. Her work addresses bilingualism, STEM pedagogy, and assessment design. Recent projects include developing health literacy scales and analyzing differential item functioning in testing. Key grants include NSF-funded initiatives in mathematics education and transition programs for students with disabilities. Collaborations span institutions like BU, UMass, and Dartmouth College. Awards: 2012 NCME Brenda Loyd Dissertation Award 2012 APA Division 5 Distinguished Dissertation 2011 AERA Outstanding Quantitative Dissertation Led grants totaling over $5.9 million as PI/co-PI. Active in professional organizations like NCME and AERA.

Keith Freelandمشاهده پروفایل

دانشیار

• Mathematical Finance
• Financial Risk Management
• Equity-Linked Insurance Products
• +۳ مورد دیگر

Keith Freeland is an Associate Professor (Teaching Stream) at the University of Waterloo's Department of Statistics and Actuarial Science, and Director of the Business Administration and Mathematics Double Degree Program. He holds a PhD in Business Administration from the University of British Columbia and a BSc in Actuarial Science from the University of Calgary. His career includes roles as an assistant professor at Waterloo from 2000–2010. Research interests historically focused on equity-linked insurance products and discrete-valued time series analysis, though he is no longer actively researching. He teaches courses like MATBUS 470 (Derivatives) and MATBUS 472 (Risk Management), emphasizing mathematical finance and financial risk management. Notable publications include work on categorical ARMA models, quasi-locally powerful tests for conditional variance, and integer-valued time series analysis. He holds the ASA designation from the Society of Actuaries (1991). Freeland's contributions bridge actuarial science, statistics, and financial mathematics, with teaching and past research centered on practical applications in risk management and insurance product modeling.