جستجوی استاد راهنمای دانشگاهی

Francesco Pavani serves as Full Professor of Experimental Psychology and Deputy Dean at the Center for Mind/Brain Sciences (CIMeC) at the University of Trento, where he also holds the Rector’s delegate position for coordinating PhD programs university-wide. His academic leadership spans roles as Head of the PhD School in Cognitive and Brain Sciences (2013–2019) and international affiliations including associate membership at Lyon’s Centre de Recherche en Neuroscience. Pavani’s research bridges cognitive neuroscience, deafness studies, and multisensory perception with translational applications for cochlear implant users. Education Ph.D. in Psychology, University of Bologna (2000; Supervisor: Elisabetta Làdavas) Master equivalent degree (Laurea Magistrale) in Psychology, University of Bologna (1995) Honorary Research Fellow, Institute of Cognitive Neuroscience, University College London (1998; Supervisor: Jon Driver) Visitor Scholar, Center for Neural Engineering, University of Southern California (1994; Supervisor: Michael A. Arbib) Research Focus Pavani investigates multisensory perception and attention mechanisms in typical and atypical populations, with emphasis on deafness, cochlear implantation, and neural plasticity. His work integrates psychophysics, neuropsychology, and neuroimaging to dissect how auditory, visual, and motor systems interact during spatial processing, language comprehension, and metacognitive judgments. Current projects examine spatial hearing rehabilitation through virtual reality, metacognitive aspects of listening effort, and the impact of face masks on communication for deaf individuals—addressing critical gaps in inclusive healthcare and education. Publication Trends His 2024–2025 publications reveal three dominant threads: (1) metacognitive dimensions of hearing (e.g., confidence in spatial judgments, effort tracking during speech-in-noise), (2) neural plasticity in cochlear implant users across ages, and (3) real-world communication barriers like face masks. Methodologically, he pioneers active listening paradigms where motor actions (reaching, postural adjustments) modulate auditory perception—highlighting embodiment’s role in sensory rehabilitation. Over 70% of recent work involves multicentric collaborations, emphasizing clinical translation. Scientific Recognition Giulio Tarra Award for Deafness Research (Pio Istituto dei Sordi di Milano, 2019) Prix Médisite en Neurosciences (Fondation de France, 2016) Chaire CIC-Cerveau et Santé Mentale (Fondation Neurodis, Lyon, 2015) Travel Fellowship, EuroConference on Spatial Neglect (2000) Premio Giovani Ricercatori, Italian Psychology Association (1997) Mentorship and Collaborations As leader of the Cognition Across the Senses (CAtS) research group, Pavani mentors postdocs, PhD candidates, and master’s students in projects spanning basic science (e.g., neural mechanisms of multisensory integration) to applied outcomes (e.g., VR spatial hearing training). His €2M+ grant portfolio includes European Marie Curie Fellowships and French-Italian collaborations like the CRNL partnership. He actively shapes policy as Rector’s delegate for PhD programs and previously coordinated university-wide student recruitment. Research Infrastructure The CAtS group operates within CIMeC’s state-of-the-art facilities, utilizing motion capture systems, eye-tracking, EEG, and custom virtual reality setups (e.g., SPHERE platform for 3D sound localization). Their work directly informs clinical tools like spatial auditory mapping devices (patented in 2024) and sign language accessibility protocols. Current initiatives focus on translating metacognitive training into rehabilitation apps for cochlear implant users and developing inclusive communication standards for healthcare settings post-pandemic.

• Multisensory Perception
• Cognitive Neuroscience
• Auditory Perception
• +۵ مورد دیگر

Tasha Fairfield is a Full-time Professor at the European University Institute's Department of Political and Social Sciences, having joined in September 2025 after moving from the London School of Economics. She holds a Ph.D. in political science from UC Berkeley, an M.A. in Latin American studies, and an M.S. in physics from Stanford University. Her research focuses on the political economy of inequality, business-state relations in Latin America, and the application of Bayesian methods to qualitative research. She convenes the Qualitative Bayesian Reasoning Network for scholars interested in employing Bayesian methods. Her current research interests include the distributive politics of climate change. Her publications have appeared in top journals including Political Analysis, Comparative Political Studies, and Perspectives on Politics. Her methodological work bridges traditional divides in political science methodology through the application of Bayesian probability to qualitative evidence. APSA-QMMR David Collier Mid-Career Achievement Award (2024) Donna Lee Van Cott Award for best book on Latin American political institutions (2016) Sage Best Paper Award, Qualitative and Multi-Method Research Section (2017) LSE Excellence in Education Awards (2023, 2019) Before arriving at EUI, Fairfield was an associate professor at LSE, a Hewlett Fellow at Stanford University's Center on Democracy, Development, and the Rule of Law, and a Visiting Fellow at the University of Notre Dame's Kellogg Institute. Her research has been supported by the Social Science Research Council, Fulbright-Hays, and the International Centre for Tax and Development.

• Qualitative methods
• Political methodology
• Mixed methods in political science
• +۸ مورد دیگر

Antonio Parisi serves as a Researcher in the Department of Economics and Finance at the Faculty of Economics, University of Rome Tor Vergata. His academic work centers on economic statistics within the SECS-S/03 sector, contributing to both research and teaching missions of the institution. For the 2025-2026 academic year, he instructs "Coding for Economic Applications" for Master's students and "Quantitative Methods I" for undergraduate programs. His research portfolio emphasizes Economic Statistics as the foundational discipline, with specialized expertise in Bayesian Inference for probabilistic modeling, Statistical Theory and Methods for econometric frameworks, and Computational Methods for algorithmic implementation. This triad of interests positions him at the intersection of theoretical statistics and practical economic data analysis. Available for student consultations on Thursdays at 11am during class sessions or by prior arrangement, Dr. Parisi maintains office presence in Room 59. Direct communication channels include email antonio.parisi@uniroma2.it and telephone extension 5914, facilitating academic collaboration and mentorship within the department's vibrant scholarly community.

• Economic Statistics
• Bayesian Inference
• Statistical Theory and Methods
• +۱ مورد دیگر

Consuelo R. Nava is Associate Professor of Economic Statistics at the University of Aosta Valley (University of Valle d'Aosta) in the Department of Economic and Political Sciences. She also serves as a visiting professor at the Catholic University of the Sacred Heart in Milan and the University of Turin. Additionally, she is a member of the Cross-Border Center on Tourism and Mountain Economies. Dr. Nava earned her undergraduate degree (laurea triennale) in Business Economics from the University of Aosta Valley and Economics from the University of Turin, both with highest honors (110 e lode). She completed her PhD in Economics with a focus on applied mathematics and statistics at the University of Turin's Vilfredo Pareto Doctoral School in 2014. Following her doctorate, she worked as a research fellow at the Department of Economics and Statistics Cognetti de Martiis at the University of Turin (2014-2016) and as a research grant recipient with the Department of Translational Medicine at the University of Eastern Piedmont (2016-2017). Dr. Nava's research focuses on econometrics, time series analysis in the frequency domain, price indices, Bayesian inference, and discrete choice models. Her work bridges theoretical statistical methods with practical applications in economics, energy markets, tourism, and public health. She has developed innovative approaches to price index construction, switching behavior analysis in electricity markets, and Bayesian methods for modeling complex economic phenomena. Her publications demonstrate a strong interdisciplinary approach, with research spanning economic statistics, public health applications, tourism economics, and energy market analysis. Recent work shows an increasing focus on applying machine learning techniques alongside traditional econometric methods, particularly in analyzing startup survival during economic crises and modeling consumer behavior in liberalized markets. Dr. Nava has received several prestigious awards and recognitions: TEM Summer School Grant, Aosta, Italy Civil Society Talents Fellowship, Giovanni Goria Foundation, Asti, Italy Junior DESPINA Fellow, Big Data Lab, Turin, Italy Google Early Career Researchers Travel Grant, ISBA Socialis Prize, 7th edition, for her thesis on Corporate Social Responsibility Honor Student Scholarship, Collegio Carlo Alberto, Moncalieri, Italy As an educator, Dr. Nava has taught extensively across multiple institutions including Statistics, Quantitative Methods for Management, Econometrics, and Bayesian Statistics. She has served as a reviewer for several academic journals including Economics of Innovation and New Technology, Italian Journal of Applied Statistics, L'Industria, and Bayesian Analysis. Her research projects include studies on cruise ship impacts on destinations, illegal gambling analysis, switching behavior in European electricity markets, and Bayesian methods for analyzing asbestos exposure effects on mesothelioma risk. Her work with the Cross-Border Center on Tourism and Mountain Economies reflects her commitment to regional economic development research.

• Econometrics
• Time Series Analysis
• Price Indices
• +۳ مورد دیگر

Giulia Cereda serves as Associate Professor in the Department of Statistics, Computer Science, and Applications 'G. Parenti' (DiSIA) at the University of Florence since 2025. Her academic journey includes prior roles as Fixed-term Researcher (RTD-b, 2022-2024), Research Fellow (2021-2022), and Swiss National Science Foundation Postdoc Mobility Fellow (2019-2021) at Leiden University and University of Florence. She holds a Joint PhD in Statistics from Leiden University and University of Lausanne (2011-2016), complemented by Master's and Bachelor's degrees in Mathematics from the University of Milan. Her research spans forensic statistics with focus on rare type match problems in DNA evidence evaluation, medical statistics applied to SARS-CoV-2 pandemic modeling, and machine learning implementations for biogeographical ancestry prediction. Recent publications demonstrate methodological innovations in Bayesian approaches for forensic evidence, compartmental modeling of epidemic dynamics, and supervised learning applications in population genetics. Analysis of her 14 most recent publications (2020-2025) reveals dual research thrusts: (1) forensic statistics addressing DNA mixture interpretation and rare haplotype matching through Bayesian frameworks, and (2) epidemiological modeling of smoking dynamics and SARS-CoV-2 transmission using compartmental models with uncertainty quantification. Her work bridges theoretical statistics with practical public health and forensic applications, frequently employing machine learning for complex prediction tasks. Supported by the Swiss National Science Foundation for postdoctoral research (2019-2021), she has contributed to pandemic response through Tuscan regional modeling and school-based screening strategies. Current office hours are Thursdays 3:00-4:00 PM by appointment, with ongoing research in forensic identification systems and epidemic forecasting methodologies.

• Forensic Statistics
• Medical Statistics
• Machine Learning
• +۲ مورد دیگر

Emanuela Dreassi is a Full Professor of Statistics at the University of Florence, where she currently serves as Director of the Department of Statistics, Computer Science, and Applications 'G. Parenti' (DiSIA) from November 1, 2024, to October 31, 2028. She is affiliated with the School of Economics and Management and has held various institutional roles including Director of the Bachelor's Program in Statistics (2014-2022) and Vice-President of the School of Economics and Management (2019-2022). Her research spans hierarchical Bayesian models and spatial statistics, with methodological advancements in specifying and estimating models for multilevel data, missing data, and latent variable models. She has made significant contributions to robust analysis in small area estimation, compatibility of conditional distributions, semicontinuous data modeling, Bayesian predictive inference, and knockoffs construction. Her work bridges theoretical statistics with practical applications in epidemiology, environmental studies, and medical research. Dreassi's recent publications (2020-2025) reveal a strong focus on methodological innovations in Bayesian statistics, spatial analysis, and knockoff filters for variable selection. She has published extensively in top statistical journals while also collaborating on interdisciplinary research in medical fields including plastic surgery and epidemiology. Her work demonstrates a consistent trajectory of advancing statistical methodology while maintaining strong connections to real-world applications across multiple domains. As an active referee for numerous prestigious journals including Biometrics, Journal of the Royal Statistical Society, and Statistics in Medicine, Dreassi contributes significantly to the scholarly community. She has coordinated research units for PRIN and HORIZON2020 projects and participated in numerous national and international conferences as organizer, scientific committee member, and session chair.

• Hierarchical Bayesian models
• Spatial statistics
• Multilevel data analysis
• +۷ مورد دیگر