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Vanessa CentellesView profile

Assistant Professor

• Criminology
• Victimization Studies
• Sociocultural Factors
• +3 more

Dr. Vanessa Centelles is an Assistant Professor of Sociology at Colorado State University, specializing in Criminology and Criminal Justice. She holds a PhD in Criminology from the University of South Florida (2024). Her research employs interdisciplinary and intersectional approaches to explore sociocultural factors influencing criminal behavior, victimization, and public perception, with a focus on marginalized and minoritized communities, particularly U.S. Hispanic/Latina/o/x populations. Methodological expertise includes survey design, primary data collection, regression analysis, and structural equation modeling. Key research areas include the impact of acculturation, discrimination, and ethnic identity on victimization and offending, as well as policy implications for sex work and gender-based violence. Her work has been published in journals like American Journal of Criminal Justice , Criminal Justice and Behavior , and Journal of Sex Research . She was honored as a 2023 Ruth D. Peterson Fellow by the American Society of Criminology. Dr. Centelles teaches courses such as SOC 358: Punishment and Society and SOC 357: Women, Crime, and Victimization. Her research emphasizes the intersection of culture, identity, and systemic inequities, aiming to inform policies addressing marginalized groups' vulnerabilities. Ongoing projects include examining generational differences in policy preferences and the role of technology in facilitating victimization via dating apps.

Levi StorksView profile

Assistant Professor

• Neuroethology
• Animal Cognition
• Comparative Neuroanatomy
• +2 more

Dr. Levi Storks is an Assistant Professor in the Department of Biology at the University of Detroit Mercy's College of Engineering and Science, specializing in neuroethology and the evolution of cognition in ectothermic vertebrates. His research integrates neuroanatomical, molecular, and behavioral approaches to study brain evolution across biological scales. Education: B.S. Zoology, Michigan State University (2014) Ph.D. Biological Sciences, University of Missouri (2021) Research Focus: His work examines how ecological factors shape neural architecture and cognitive abilities in lizards, fish, and other ectotherms, with particular emphasis on: Evolutionary neuroanatomy and neuron quantification Behavioral plasticity and learning mechanisms Ecological influences on brain development Publication Trends: Recent articles demonstrate multidisciplinary approaches combining field ecology with laboratory neuroscience, frequently using Anolis lizards and zebrafish models to investigate: Cognitive performance correlates with neuroanatomical features Environmental complexity effects on neural development Personality-mediated learning differences Spatial navigation strategies Community Engagement: Founded 'Science on Scales' outreach program and chaired 'Science on Wheels' initiative at the University of Missouri, mentoring undergraduate researchers and promoting science communication.

Rabia NESSAHView profile

Professor

• Game Theory
• Operations Research
• Economics
• +3 more

Rabia NESSAH is a Full Professor of Quantitative Methods at IÉSEG School of Management in Lille, France. She holds a Ph.D. in Industrial Systems and Optimization (2005) from Technologic University of Troyes and an HDR in Economics and Mathematics (2013) from University of Paris Est. Her academic career includes prior roles as Lecturer at Technologic University of Troyes (2002–2006) and Université de Tizi-Ouzou, Algeria (2001–2002). Her research focuses on game theory, optimization, and scheduling algorithms, with notable contributions to equilibrium solutions (Berge, Nash, and hybrid variants), production scheduling models, and mathematical economics. She has published extensively in journals like European Journal of Operational Research , Journal of Mathematical Economics , and Mathematical Social Sciences , and co-authored books on revolutionary choice theories and voting paradoxes. NESSAH teaches courses in quality control, production planning, and optimization methods at the undergraduate level. Her work bridges theoretical advancements in game theory with practical applications in operations research and economic modeling.

• Probability Theory
• Statistical Mechanics
• Gibbs Measures
• +2 more

Diana Conache is a Lecturer at the Technical University of Munich in the Department of Mathematics, affiliated with the Associate Professorship of Probability Theory. Her research focuses on probability theory, statistical mechanics, Gibbs measures, and stochastic processes with applications in mathematical physics. Research explores properties of Doeblin measures, lattice Coulomb gases, dislocation lines in solids, and continuum particle systems. She investigates mathematical foundations of statistical mechanics, including existence and uniqueness of Gibbs states, projection theory, and diffusion processes on measure spaces. Conache organizes the Women in Probability workshop series and serves on departmental committees. She supervises student theses in probability theory and stochastic processes.

Walter TinssonView profile

Senior Lecturer

• Experimental Design
• Statistics
• Design of Experiments
• +3 more

Walter Tinsson serves as a Senior Lecturer in the Department of Mathematics at the University of Pau and Pays de l'Adour, France, where he has maintained continuous academic employment since 2001. His institutional leadership includes serving as Director of the Mathematics Department from 2014 to 2019 and membership on the university's board of directors from 2016 to 2019, demonstrating sustained administrative commitment alongside his teaching and research responsibilities within the Laboratory of Mathematics and their Applications (LMAP). His academic credentials feature: Authorization to direct research (2013), University of Pau and Pays de l'Adour Doctorate in applied mathematics (1998), University of Pau and Pays de l'Adour Tinsson's scholarly focus centers on advanced experimental design theory, with specialized expertise in block designs, small-sample experimental frameworks, generalized linear model applications, and methodological innovations for quantitative and qualitative factors. His research consistently bridges theoretical rigor with practical implementation across diverse scientific domains, particularly emphasizing neighborhood-effect modeling and complex mixture experiment configurations where traditional design approaches face limitations. Publication analysis reveals a concentrated research trajectory from 1997-2014 with significant contributions to spatial interference modeling, mixture-of-mixture methodologies, and optimal crossover design structures. His work demonstrates increasing sophistication in handling constrained experimental regions and complex variance structures, reflecting the field's evolution toward more realistic experimental constraints and multidimensional response surfaces. Walter Tinsson has provided doctoral supervision for Hanen Hanna, whose 2010 thesis addressed mixture designs with two-level factors and external variables under Venezuelan state funding, with Tinsson contributing 80% of the supervisory responsibility. His extensive teaching portfolio spans multiple institutions including ENSAI, ISPED Bordeaux, and IFP Training, covering advanced experimental design and statistical methodology across engineering, biostatistics, and petroleum disciplines. As an active member of the Probability and Statistics Team within LMAP, Tinsson contributes to collaborative research initiatives while maintaining specialized focus on design efficiency criteria and practical implementation challenges for industrial and scientific applications requiring precise experimental control under complex constraints.

• Probability Theory
• Multivariate Statistics
• Gamma Distributions
• +2 more

Philippe Bernardoff is an Associate Professor at the University of Pau and the Pays de l'Adour. His research focuses on advanced probabilistic models, including multivariate gamma distributions, negative multinomial laws, and Laplace transform applications in statistical dependence structures. His work bridges theoretical probability and practical applications in areas like polarimetric image processing. Bernardoff's research interests center on developing statistical methodologies for complex multivariate systems, with emphases on distribution theory, simulation algorithms, and copula-based dependence modeling. His publications consistently explore the mathematical frontiers of infinitely divisible distributions and their computational implementations. His recent articles demonstrate a strong focus on advancing simulation techniques for gamma distributions and expanding the theoretical understanding of Laplace transforms in multivariate contexts. This work has implications for high-dimensional data analysis and stochastic modeling.

Francesco PantaloneView profile

Lecturer

• Computational Statistics
• Official Statistics
• Sampling Theory
• +3 more

Francesco Pantalone is a Lecturer in Official Statistics at the University of Southampton, affiliated with the Statistical Sciences Research Institute (S3RI) and the Methodological Innovation group. His research focuses on survey methodology, official statistics, and environmental surveys, with particular attention to sampling design impacts and variance estimation in complex surveys. He teaches courses including STAT1003, STAT2007, STAT6125, and RESM6007, covering quantitative methods and data analytics. His recent work includes advancements in spatial sampling algorithms, M-quantile regression applications, and census coverage estimation. Supervising PhD student Jillian Delaney, his contributions span both methodological development and practical applications in official statistics.

Charles TierView profile

Adjunct Professor

• Asymptotic and singular perturbation methods
• applied stochastic modelling
• queueing theory
• +2 more

Charles Tier is an Adjunct Professor of Applied Mathematics and Program Director for the Master of Applied Mathematics at the Illinois Institute of Technology (IIT), within the College of Computing. He holds a Ph.D. in Applied Mathematics from the Courant Institute at New York University. His research focuses on asymptotic and singular perturbation methods, applied stochastic modelling, queueing theory, computational finance, and mathematical biology. His publications span topics in financial mathematics and stochastic systems, including work on derivative pricing under mean-reverting processes, stochastic volatility models, variance swaps, and queueing theory applications. He is a member of the Society for Industry and Applied Mathematics (SIAM). No scientific awards or grants are explicitly listed in the provided information. While no advisees are mentioned, his role as a program director and adjunct professor suggests involvement in academic mentorship. His office is located in the Rettaliata Engineering Center, Room 212.

• Asset Pricing
• Financial Economics
• Mathematical Finance
• +4 more

Prof. Aleš Černý is a Professor of Finance at Bayes Business School, University of London. He holds a PhD in Economics from the University of Warwick (1998) and has been affiliated with institutions like Imperial College London and Comenius University. His research focuses on incomplete financial markets, stochastic calculus, and optimal portfolio strategies. He has authored textbooks such as Mathematical Techniques in Finance: Tools for Incomplete Markets (Princeton UP) and serves as an Associate Editor for Review of Derivatives Research . Education: MSc and PhD in Economics, University of Warwick BSc/MSc in Mathematical Engineering, Czech Technical University Research Interests: Mean-variance hedging, optimal portfolio allocation, stochastic processes, mathematical finance, and risk management. His work bridges theoretical developments with practical applications in financial markets and pension systems. Articles: Recent publications explore topics like the law of one price in quadratic hedging, semimartingale calculus, and efficiency measurement in operational research. His contributions advance methodologies in stochastic analysis and their financial applications. Professional Activities: He has held visiting positions at Comenius University and the Isaac Newton Institute. He has advised PhD students on topics ranging from derivatives pricing to pension finance. His consulting includes optimal asset allocation strategies for pension systems in the UK and Japan. Labs/Teams: Collaborations include projects on data envelopment analysis, financial stability modeling, and computational finance techniques.

• Religious Studies
• Religion and Globalization
• Religious Pluralism
• +5 more

Prof. Dr. Volkhard Krech is a Professor of Religious Studies and Director of the Center for Religious Studies (CERES) at Ruhr-University Bochum, Germany. He holds leadership roles as Chair of Religious Studies, Spokesperson of the Collaborative Research Centre (CRC) 1475 'Metaphors of Religion', and Principal Investigator for multiple projects. His research focuses on the theory of religion, globalization of religions, religious pluralism, religion and violence, and metaphorology in religious contexts. He has authored numerous books and articles, including Die Evolution der Religion (2021) and Georg Simmels Religionstheorie (1998). His work integrates sociological, semiotic, and comparative approaches to analyze religious phenomena. Key projects include the CRC 1475 exploring metaphors in religion, the 'Theory and Empiricism of Religious Evolution (THERE)', and studies on religious diversity in Europe. Krech also coordinates interdisciplinary initiatives like 'Religious Encounters' and 'Religious Art'. His academic contributions span religious communication, semiotics, and historical analyses of religious globalization. Recent research emphasizes metaphor theory, digital humanities applications in religious studies, and the intersection of religion with art and violence. He has advised multiple graduate schools and collaborative projects, reflecting his role as a leading figure in contemporary religious studies and intercultural research.

Tobias EndresView profile

Research Fellow

• Philosophy of Perception
• Epistemology
• Philosophy of Mind
• +9 more

Dr. Tobias Endres is a Research Fellow at the Institute of Philosophy, Technical University of Braunschweig, Germany. His academic work focuses on Ernst Cassirer’s philosophy, perception theory, German idealism, and intercultural philosophy. He holds a Dr. phil. from TU Berlin (2018) and an MA from Bonn University (2009), awarded the Immanuel Kant Prize for his master’s thesis on Nietzsche. Since 2018, he has been a research assistant at TU Braunschweig and led projects like the interdisciplinary 'Dilemmas of Sustainability' funded by the Volkswagen Foundation. Notable achievements include the Feodor Lynen Research Fellowship (2024–2026) and editorial roles in journals like Continental Philosophy Review . His research bridges Cassirer’s symbolic forms with contemporary debates in epistemology, technology, and cultural anthropology. Key publications include monographs on Nietzsche and Cassirer’s perception theory, as well as edited volumes like Kyoto in Davos (2023). Endres actively organizes international conferences, such as the 2024 Authors-meet-critics session on his edited volume. His work emphasizes Cassirer’s relevance in intercultural and global philosophy. Education: Dr. phil., Technical University of Berlin (2018), Dissertation: Ernst Cassirer's Phenomenology of Perception MA, University of Bonn (2009), Thesis: Nietzsche’s Hermeneutics (Kant Prize recipient) Research Interests: Cassirer’s symbolic forms and their modern applications Perception theory and non-conceptualism debates Intercultural philosophy and global Cassirer studies German idealism and neo-Kantianism Philosophy of technology and cultural anthropology Publications Trends: His articles (2020–2025) explore Cassirer’s legacy in perception, truth, and cultural forms, often bridging historical and contemporary philosophy. Recent work emphasizes interdisciplinary approaches, such as technology’s symbolic role and Cassirer’s influence on Sellars. Awards: Feodor Lynen Fellowship (Alexander von Humboldt Foundation, 2024–26) Immanuel Kant Prize (2009) Advising & Grants: Leads TU Braunschweig projects, co-organized major conferences (e.g., Kyoto in Davos in 2020), and serves on editorial boards. No listed advisees, but actively mentors through research projects. Labs/Teams: Co-founder of the Ernst Cassirer Arbeitsgruppe at TU Berlin (2012) and collaborates with global networks like the International Ernst Cassirer Society .

Joost C. DessingView profile

Lecturer

• Eye-hand coordination
• Human-robot interactions
• Sports performance analysis
• +3 more

Joost C. Dessing is a Lecturer at Queen's University Belfast's School of Psychology, affiliated with the EPIC research group. He holds a Marie Curie FP7 Career Integration Grant to study eye-hand coordination in spatial and temporal contexts, extending to applications in sports and human-robot interactions. His academic journey includes an MSc (2001) and PhD (2005) from Amsterdam's Faculty of Human Movement Sciences, followed by postdoctoral work in the Netherlands and Canada. Education: MSc in Human Movement Sciences, Vrije Universiteit Amsterdam (2001) PhD in Human Movement Sciences, Vrije Universiteit Amsterdam (2005) Research interests focus on neural mechanisms underlying eye-hand coordination, particularly in dynamic tasks like catching, hitting, and robotics collaboration. He employs behavioral experiments, TMS, and computational modeling in real/virtual environments. Recent work includes VR-based goalkeeper studies and deep learning for human-robot intention inference. Key research trends revealed through publications include advancements in gaze estimation frameworks, collaborative robotics datasets, and applied sports biomechanics. His work bridges fundamental neuroscience with practical applications in manufacturing and sports. Awards include the Best PhD Thesis award (2005), Center for Open Science Challenge Award (2018), and QUB Research Seed Fund (2021). He actively promotes Open Science, serving as co-lead for the UK Reproducibility Network. Advising/grants: Marie Curie FP7 Grant (2012-) Supervising 3 PhD students (e.g., Valkanidis on goalkeeping, Adebayo on human-robot learning) Labs/teams: EPIC research group, collaborations with EEECS department (Prof. McLoone).

• Urban Economics
• Economic Geography
• Economics of Science
• +1 more

Clément Bosquet is a Professor of Economics at the Sorbonne Economics Centre (CES), Université Paris 1 Panthéon-Sorbonne. He leads the scientific program 'International Economics and Labour Markets' at CES and is the Principal Investigator (PI) of the ANR research grant SINEMOB. His primary research interests span urban economics, economic geography, economics of science, and labour economics, with a focus on topics like spatial inequality, academic collaboration networks, and gender disparities in academia. He advises multiple PhD students and has authored/co-authored numerous peer-reviewed articles in top journals. Education details are not explicitly provided in the text, but his career trajectory indicates advanced academic training in economics. His research has explored themes such as birthplace effects on economic outcomes, peer effects in academic research, and the structure of labour markets. He has contributed to policy-relevant studies on gender gaps in academic promotions and the evaluation of research outputs via bibliometric tools. Notable projects include the SINEMOB grant and collaborative work on econometric methods (e.g., the GLM variance assumption paper). He maintains an active role in teaching, overseeing courses in economics while emphasizing administrative efficiency and student consultation processes. His work bridges theoretical economic models with empirical analysis, addressing both micro and macroeconomic challenges. Laboratory affiliations include the Centre d’Économie de la Sorbonne (CES), where he contributes to interdisciplinary research initiatives. His publications highlight a commitment to understanding the spatial dimensions of economic activity, the dynamics of academic institutions, and methodological advancements in econometric techniques.

John N FriedmanView profile

Professor

• Public Economics
• Labor Economics
• Education Policy
• +4 more

John N Friedman is the Briger Family Distinguished Professor of Economics and Dean of International and Public Affairs at Brown University. He holds dual appointments in the Department of Economics and the School of International and Public Affairs. Friedman earned his AB, AM, and PhD in Economics from Harvard University between 2002 and 2007. His research focuses on leveraging large datasets to address critical questions in public policy, education economics, labor markets, and political institutions. He has pioneered methodologies to measure long-term impacts of educational interventions, teacher effectiveness, and tax policies. Friedman’s work often bridges theoretical econometric frameworks with real-world policy evaluation, emphasizing causal inference and empirical rigor. Research interests include the evaluation of social policies, taxation mechanisms, and political systems. Notably, his studies on kindergarten classroom impacts, teacher value-added metrics, and retirement savings behavior have shaped policy debates. At Brown, he teaches courses on big data applications in economics and statistics for public policy. Friedman collaborates extensively with institutions like Denmark’s tax authorities and the English National Health Service to analyze systemic policy effects. His advisory role as Dean underscores his commitment to international public affairs and academic governance.

HUANG DashanView profile

Associate Professor

• Asset Pricing
• Behavioral Finance
• Big Data
• +3 more

HUANG Dashan is an Associate Professor of Finance and PGR Coordinator at the Lee Kong Chian School of Business, Singapore Management University (SMU). He holds a Ph.D. in Finance from Washington University in St. Louis (2013), a Ph.D. in Engineering from Kyoto University (2007), and a B.S. in Mathematics from Lanzhou University (2002). His research focuses on Asset Pricing, Behavioral Finance, Big Data, and Machine Learning, with notable contributions to portfolio optimization, factor models, and market sentiment analysis. He has received prestigious awards such as the CIRF/CFRI Research Award (2020) and the WRDS Best Paper Award (2018). His work integrates econometric methods, machine learning, and behavioral theories to analyze financial markets. Recent studies include predicting bond returns using real-time macro data, exploring presidential approval ratings' impact on stock returns, and developing dimension-reduction techniques for factor models. Huang collaborates widely, publishing in top journals like Journal of Financial Economics and Management Science . Education : Ph.D. in Finance, Washington University in St. Louis (2013) Ph.D. in Engineering, Kyoto University (2007) M.A. in Management Science, Chinese Academy of Sciences (2004) B.S. in Mathematics, Lanzhou University (2002) Awards and Recognition include multiple conference best-paper awards, emphasizing his innovative contributions to empirical asset pricing and quantitative finance. His research has been supported by grants, and he advises students on topics spanning behavioral finance and computational methods. Huang is actively involved in interdisciplinary initiatives, bridging finance with computing and social sciences. His lab develops tools like the PLS Sentiment Index and PLS Disagreement Index, widely used in academic and applied research.