جست‌وجوی استاد و پژوهشگر

Julius Vainoraمشاهده پروفایل

استادیار

• Econometrics
• Network Econometrics
• Machine Learning
• +۳ مورد دیگر

Dr. Julius Vainora is an Assistant Professor at the University of Cambridge , affiliated with the Faculty of Economics and Department of Economics. His research focuses on Econometrics , Network Econometrics , and Machine Learning , with applications in microfinance and financial networks. Diploma Paper 3 - Econometrics MPhil E300 - Econometric Methods Recent publications include: Asymptotic Theory Under Network Stationarity (2024): Developing network stationarity theory for Indian microfinance data analysis Conditional Distribution Model Specification Testing (with Miguel Delgado, 2024): Novel chi-square goodness-of-fit tests for econometric models Latent Position-Based Modeling of Parameter Heterogeneity (2024): Network-based approaches to heterogeneity in S&P 500 stock data Current research includes network dependence counterfactuals and machine learning-based nonparametric estimation of graphons.

• Statistics
• Decision Analysis
• Multivariate Analysis
• +۳ مورد دیگر

Antonio Lucadamo is an Associate Professor at the Department of Law, Economics, Management and Quantitative Methods (DEMM) of the University of Sannio. His research focuses on statistical modeling, decision analysis, and multivariate methods with applications in diverse fields such as financial markets, cultural festivals, environmental science, and healthcare evaluation. Key Research Areas : Decision theory, ordinal data handling, AHP methodology, environmental quality assessment Recent Collaborations : Pietro Amenta, Ida Camminatiello, Gabriella Marcarelli, and Matteo Rossi Publication Trends : His work spans from foundational statistical techniques (e.g., co-inertia analysis, Taguchi index generalization) to applied studies in financial decision-making, festival loyalty models, and environmental quality assessment. Notable subfields include pairwise comparison matrices, OWA operators, and spectral soil analysis. Contact : antonio.lucadamo@unisannio.it

Roy Hesselsمشاهده پروفایل

دانشیار

• Eye Tracking
• Gaze Behavior
• Developmental Psychology
• +۶ مورد دیگر

Dr. Roy Hessels is an Associate Professor in the Department of Experimental Psychology at Utrecht University, affiliated with the Faculty of Social and Behavioural Sciences and the Kemner Helmholtz Institute. His research focuses on eye-tracking methodologies, gaze behavior in social interactions, developmental psychology, and the application of wearable technologies in psychological research. Hessels holds a PhD in Psychology from Utrecht University (2017) and has contributed extensively to improving eye-tracking technology reliability and standardization. Key areas of research include cross-cultural gaze behavior, autism spectrum disorder, and the development of tools like gazeMapper and GlassesValidator to enhance data quality in eye-tracking studies. He collaborates internationally, including with institutions in Japan and the Netherlands, and actively participates in workshops and conferences on bridging social sciences with AI for child behavior analysis. Hessels teaches courses in applied cognitive psychology, experimental programming, and research methods. His work emphasizes the societal relevance of scientific knowledge and critiques methodological challenges in 'real-world' neuroscience approaches.

• Combinatorics
• Computer Science
• Log-concave Polynomials
• +۳ مورد دیگر

Jonathan Leake is an Assistant Professor in the Department of Combinatorics and Optimization at the University of Waterloo . His research focuses on log-concave polynomials and their applications in combinatorics and computer science. Education: PhD in Mathematics, UC Berkeley (2014-2019) MS in Mathematics, Texas A&M University (2010-2012) BS in Computer Engineering and Applied Math, Texas A&M University (2006-2010) Research Interests: His work centers around log-concave polynomials and their connections to combinatorics, optimization, and computer science. Key areas include: Lorentzian polynomials and their applications Polynomial capacity and optimization Sampling algorithms and combinatorial structures Representation theory and algebraic combinatorics Scientific Awards: Dirichlet Postdoctoral Fellowship (TU Berlin, 2020-2022) James H. Simons Fellowship (Simons Institute, UC Berkeley, Spring 2019) Previous Positions: Postdoc Fellowship, Institut Mittag-Leffler, Stockholm (Spring 2020) Postdoc, KTH, Stockholm (Fall 2019) Developer, Teacher Retirement System of Texas (2012-2014)

Daniel Yekutieliمشاهده پروفایل

استاد

• Statistics
• Bioinformatics
• Multiple Comparisons
• +۵ مورد دیگر

Prof. Daniel Yekutieli is a faculty member at Tel Aviv University's School of Mathematical Sciences, specializing in Statistics and Operations Research. He holds the academic rank of Professor and has contributed extensively to statistical methodologies and their applications. Research Interests: Multiple Comparisons, Bayesian Analysis, Survival Analysis, Bioinformatics, FDR Control, and statistical techniques in political science. Contact: Office in Schreiber #207, phone +972-3-6409612, fax +972-3-6409357, emails yekutiel@tauex.tau.ac.il and yekutiel@math.tau.ac.il. His teaching includes advanced courses like Regression , Statistics in Bioinformatics , and Seminar in Advanced Topics in Modern Statistics , reflecting his expertise in core and applied statistical domains.