جست‌وجوی استاد و پژوهشگر

• Algebraic statistics
• Experimental design
• Industrial statistics
• +۳ مورد دیگر

Roberto Fontana is a Full Professor at the Department of Mathematical Sciences (DISMA) of the Polytechnic University of Turin. He is a member of the Interdepartmental Centre R3C (Responsible Risk Resilience Centre) and actively involved in the College of Management and Production Engineering and the Planning and Design Board. His research focuses on algebraic statistics, experimental design, industrial statistics, and multivariate statistics, with an emphasis on statistical analysis of physical and computer experiments. Fontana holds leadership roles in academic societies, including being an Effective Member of ERCIM (European Research Consortium for Informatics and Mathematics), ENBIS (European Network for Business and Industrial Statistics), and SIS (Italian Statistical Society). He serves as an Associate Editor for the Journal of Applied Statistics since 2017. His teaching spans multiple levels, including PhD courses on statistical modeling and machine learning, as well as undergraduate and graduate courses in statistics across disciplines like Management Engineering and Territorial Planning. He leads the ELBA project (2019–2022), establishing training centers for Intelligent Big Data analysis. Fontana’s recent publications emphasize advancements in contingency tables, Bernoulli distributions, and the integration of design of experiments with machine learning. He currently supervises PhD student Davide Ronco in the Mathematical Sciences program. His work bridges theoretical statistics with industrial applications, emphasizing robust experimental design and computational methods. Fontana actively collaborates on interdisciplinary projects, including environmental and material science applications.

• Data Analysis
• Statistical Inference
• Machine Learning
• +۵ مورد دیگر

AnnaMaria Zanaboni is an Assistant Professor at the Department of Computer Science, University of Milan. Her research focuses on data analysis, statistical inference, and machine learning applications in diverse fields such as archaeology, veterinary medicine, and forensic science. She is affiliated with the Data Science Research Center (DSRC) and the SLIM research group. Education: High school diploma (Maturità Classica), Liceo Classico 'B. Zucchi', Monza (1981) Master's Degree in Computer Science, University of Milan (1986) Ph.D. studies in Computer Science at New York University (1988-1989) and Yale University (1989-1990) Teaching: Current: Methods and Languages for Data Processing (Cultural Heritage program) Previous: Courses in Statistics, Algorithms, Probability, and Bioinformatics across Computer Science, Medicine, Pharmacy, and Chemistry programs Her research trends span forensic applications of AI, archaeological material classification via machine learning, and veterinary cardiology studies using statistical methods. She has collaborated extensively with interdisciplinary teams in medicine, archaeology, and computer science. Advising & Grants: Advised numerous courses but no explicitly listed students. Research contributions include over 50 peer-reviewed publications and a textbook on probability and statistics for undergraduates. Labs/Teams: Member of DSRC and SLIM group, actively involved in collaborative projects bridging computer science with medical and archaeological applications.

• Statistical Modeling
• Biostatistics
• Environmental Data Analysis
• +۴ مورد دیگر

Prof. Vito Michele Rosario Muggeo is a Full Professor in the Department of Economics, Business and Statistics at the University of Palermo. His research focuses on statistical modeling, biostatistics, environmental data analysis, and regression techniques. He teaches courses such as Statistical Inference/Statistics 2 and Statistical Methods. Active in academic evaluations, his work spans over two decades with publications in statistical methodologies, public health, and environmental science. Notable contributions include advancements in segmented regression, quantile regression, and applications in healthcare and ecology. His research often involves collaboration with international journals and conferences, addressing topics like cardiovascular health in cancer survivors and pandemic modeling. He is also involved in software development for statistical analysis, contributing R packages like 'segmented' and 'quantregGrowth'. Education & Professional Experience: - Full Professor at University of Palermo (STAT-01/A) - Active in teaching and research since at least 2000, evidenced by publications from 2000s onward. Research Interests: - Development of statistical methodologies for complex data structures. - Applications in public health, oncology, and environmental studies. - Quantile regression, penalized regression, and segmented modeling techniques. Recent Article Trends: - Focus on pandemic analysis (Covid-19 monitoring), cardiovascular outcomes in leukemia survivors, and innovative statistical tools for predictive modeling. Grants & Advising: - No explicit grants listed, but extensive collaboration in research projects across disciplines. - Advises on statistical methodologies via software development (R packages).

• Analytical Chemistry
• Chemometrics
• Mass Spectrometry
• +۳ مورد دیگر

Federica Bianchi is a Full Professor of Analytical Chemistry at the University of Parma, specializing in hyphenated techniques, chemometrics, and food/environmental analysis. She has held multiple roles including Director of postgraduate courses, coordinator of national consortia, and member of academic committees. University of Parma: Full Professor (2023–present), Associate Professor (2014–2023), Researcher (2002–2014) Research areas: Method validation, mass spectrometry, volatile/non-volatile compound analysis, multivariate statistics Her work focuses on advanced analytical methods for food safety, environmental monitoring, and forensic chemistry, integrating chemometrics and innovative materials. Recent publications highlight applications in milk traceability, wheat mycotoxins, and food packaging sustainability. She has contributed to national and international scientific projects. She coordinates the 'Validation of analytical methods' course for industrial analysts and actively supervises students in Chemistry, Industrial Chemistry, and Environmental Sciences. Her institutional leadership includes roles in academic councils, job placement commissions, and the METROFOOD-IT research infrastructure.

• Physical Chemistry
• Biotechnology
• Enzymology
• +۷ مورد دیگر

Rebecca Pogni is a Full Professor of Physical Chemistry at the University of Siena, Italy, working within the Department of Biotechnology, Chemistry and Pharmacy. Her academic position is formally designated as 'Professore Ordinario' with the specific focus on Physical Chemistry (SSD CHEM-02/A). She maintains regular office hours on Fridays from 11:00 to 13:00 in room C_03_114 on the third floor of the II lotto building at Via A. Moro, 2, 53100 Siena. Professor Pogni's research spans multiple domains within physical chemistry and biotechnology, with particular emphasis on enzyme applications , biomaterials , and environmental chemistry . Her work frequently involves spectroscopic techniques, especially Electron Paramagnetic Resonance (EPR), to study reaction mechanisms and material properties. She has made significant contributions to the understanding of oxidoreductases, particularly laccases and peroxidases, and their applications in sustainable material synthesis, bioplastic development, and environmental remediation. Her research also extends to polymer science, with focus on chitosan-based materials, bio-adhesives, and sustainable alternatives to conventional plastics. Analysis of Professor Pogni's recent publications reveals a strong trend toward environmentally focused research with practical applications. Her work increasingly addresses biodegradable materials, marine ecotoxicology of bioplastics, and sustainable approaches to material synthesis. She frequently employs interdisciplinary methods combining physical chemistry techniques with biological systems, particularly focusing on how enzymes can be harnessed for green chemistry applications. The geographical context of her research often involves Italian agricultural landscapes, with studies on olive groves and vineyards. Professor Pogni teaches across multiple levels of the university curriculum, including Industrial Biotechnology for Master's students and Physical Chemistry courses for undergraduate Chemistry students. Her teaching responsibilities reflect her research expertise, bridging fundamental physical chemistry principles with practical biotechnological applications.

Lisa Di Blasمشاهده پروفایل

دانشیار

• Personality Psychology
• Social Psychology
• Psychometrics
• +۵ مورد دیگر

Lisa Di Blas is an Associate Professor of Psychometrics at the University of Trieste's Department of Life Sciences, where she has been conducting research and teaching since 2005. She serves in multiple academic roles including as a member of the Research Evaluation Commission, Department Council, and as Coordinator of the Course of Study Advice. Her work bridges theoretical and applied aspects of personality psychology with a focus on methodological rigor. Dr. Di Blas earned her Philosophy degree from the University of Trieste in 1991 and completed her PhD in Experimental Psychology at the same institution in 1996. Her academic journey reflects a deep commitment to understanding personality development across the lifespan with particular emphasis on childhood and adolescence. Her research program centers on three interconnected strands: personality development in school-age children, personality development in adolescence with focus on eating disorders, and the theoretical integration of within-person and between-people approaches to personality assessment. She has pioneered age-emic approaches to studying adolescent personality, demonstrating that personality organization in adolescence only partially reflects adult structures, with cognitive and behavioral impulse control and physical appearance playing particularly salient roles. Her work on within-person assessment has demonstrated the validity of intra-individual procedures like the KAPA model while systematically investigating how inter- and intra-individual approaches complement each other. Analysis of Dr. Di Blas's publication record reveals a consistent trajectory of methodological innovation in personality assessment, with increasing focus on developmental aspects from childhood through adolescence. Her work spans cross-cultural personality research, eating disorder applications, and workplace stress studies, demonstrating the versatility of her theoretical framework. The evolution of her research shows growing sophistication in integrating multi-rater perspectives and longitudinal designs to capture both stability and change in personality development. She has chaired the scientific and organizing committee of the 16th European Conference on Personality and currently serves as a consultant editor for the Journal of Research in Personality, reflecting her standing in the international personality psychology community. Dr. Di Blas actively mentors the next generation of researchers through formal PhD supervision and research internships. Her current advisees include Elide Francesca De Caro (conducting longitudinal research on personality and eating disorders in adolescence), Domenico Calarco (exploring social-cognitive approaches to personality assessment), Oriana Moro (analyzing personality, emotions, and body image in post-bariatric surgery patients), and Marco Folla (focusing on eating disorders in men). She has secured significant research funding including the '10% MORO ORIANA - SB BAG' project funded by the Ministry of University and Research and participation in the 'SURVEY ON ORGANIZATIONAL WELL-BEING IN THE SCIENCE PARK AREA' project. She leads the research group focused on 'Quantitative personality assessment and multivariate research designs,' which operates within the Psychology research area of the Department of Life Sciences. This group has established collaborations with multiple doctoral colleges including Neuroscience and Cognitive Science and Psychological Sciences and Techniques, reflecting the interdisciplinary nature of her work.

• Quality Engineering
• Statistical Process Control
• Innovative Production Systems
• +۳ مورد دیگر

Elisa Verna is a Fixed-term Tenure-Track Assistant Professor at the Department of Management and Production Engineering (DIGEP) of Politecnico di Torino, Italy. She is a member of the Quality Engineering and Management Group and contributes to teaching in Management Engineering programs. Her research focuses on Quality Engineering, Statistical Process Control, and Innovative Production Systems.

Marco Nicolosiمشاهده پروفایل

دانشیار

• Socially Responsible Investments (SRI)
• Portfolio Management
• Sustainable Finance
• +۳ مورد دیگر

Marco Nicolosi is an Associate Professor at Link Campus University in Rome, specializing in Mathematical Methods of Economics and Actuarial and Financial Science. He earned a PhD in Physics from the University of Rome Tor Vergata after graduating with honors in Physics. University of Rome Tor Vergata (PhD in Physics) University of Perugia (Researcher) Capitalia SpA (Quantitative Analyst) ARPM.co (Collaborator, 2013-2014) Baruch College New York (Visiting Researcher) University of Göteborg (Visiting Researcher) His research focuses on socially responsible investments , portfolio management , and sustainable finance , particularly examining how ESG factors affect systemic risk. He has led the PRIN PNRR 2022 project on sustainable finance resilience and coordinated a Fondazione Cassa di Risparmio di Perugia-funded SRI risk analysis. Marco's publications span leading journals like Journal of Financial Stability and Journal of Banking and Finance , covering topics from ESG investing to contagion risk mitigation . His work integrates network theory and stochastic modeling to analyze complex financial systems. Scientific Contributions: Principal Investigator, PRIN PNRR 2022 project 'The resilience of Sustainable Finance' Coordinator, Fondazione Cassa di Risparmio di Perugia project (2017-2019) Member of Green Bond workgroup, Ministry of Environment (2020) European Commission consultant (2015) MISTRA-funded SIRP project (2008-2012) He has taught at Link Campus University since his appointment and maintains active research collaborations across Europe and the US.

Daniele Duranteمشاهده پروفایل

دانشیار

• Network Science
• Bayesian Methods and Computation
• Categorical Data
• +۵ مورد دیگر

Roles and Affiliations: Associate Professor of Statistics at Bocconi University's Department of Decision Sciences. Research Affiliate at Bocconi Institute for Data Science and Analytics (BIDSA), DONDENA Centre, and Laboratory for Coronavirus Crisis Research. Former Post-Doctoral Fellow at University of Padova and Visiting Scholar at Duke University. Education: Ph.D. (2016) and M.Sc. (2012) in Statistics from University of Padova. Research Interests: Bayesian methodology, network science, categorical data, latent variable models, criminology, and demography. Focus on statistical models for complex data, including criminal networks and cause-of-death dependencies. Grants and Awards: ERC Starting Grant (NEMESIS, 2024–2029), PRIN-MUR Grant (CARONTE), COPSS Emerging Leader Award, Leonardo da Vinci Medal, Mitchell Prize (twice), Laplace Prize. Editor for Biometrika , Journal of Computational and Graphical Statistics , and Journal of Multivariate Analysis . Teaching and Service: Courses on Machine Learning, Data Science, and Statistical Methods. Organized Stats under the Stars hackathons, Bocconi Data Science Challenge platform. Served on committees for ISBA, ASA, and others. Labs/Teams: Leads NEMESIS and CARONTE projects. Collaborates with interdisciplinary teams in quantitative criminology and demography.

Emilio Sardiniمشاهده پروفایل

استاد

• Electronic Instrumentation
• Biomedical Sensors
• Energy Harvesting
• +۳ مورد دیگر

Emilio Sardini is a Professor and Director of the Department of Information Engineering at the University of Brescia. He serves as Coordinator of the Technology for Health PhD program and held prior roles such as Deputy Dean of the Engineering Faculty and Academic Senate member. His research focuses on electronic instrumentation, biomedical sensors, energy harvesting, and printed sensor technologies. He leads efforts in developing autonomous sensor systems for healthcare and industrial applications. Research Interests: Emilio's work emphasizes biomedical sensor design , printed electronics , and smart packaging systems . He explores applications in tissue engineering, environmental monitoring, and Industry 4.0 integration. Recent projects include capacitive biosensors for phenylalanine detection and aerosol-jet-printed temperature sensors for aerospace. Scientific Contributions: Over 15 years, his publications span sensor fabrication, material characterization, and IoT-enabled systems. Key themes include printed strain gauges, telemetric sensor networks, and biomaterials for regenerative medicine. Labs/Teams: Active in the Department of Information Engineering, leading multidisciplinary teams in sensor innovation and healthcare technology integration.

• Financial Mathematics
• Derivatives Pricing
• Risk Management
• +۳ مورد دیگر

Gianluca FUSAI is a Professor at the University of Eastern Piedmont 'Amedeo Avogadro', affiliated with the Department of Economics and Business Studies. His research focuses on financial mathematics, derivatives pricing, and risk management. He has contributed to sustainable development goals related to economic risk modeling. Key research interests include stochastic processes, option pricing, and econometric modeling. His work often addresses practical challenges in financial engineering, such as currency risk conversion and jump diffusion processes in markets. Recent publications (2024) explore topics like covariance matrix conversion across currencies, jump counting methodologies in financial data, and novel risk-free rate pricing models. He leads projects on climate-transition risk management and insurance capital requirements under Solvency II regulations. Notable collaborations include projects on indirect climate risk measurement (2023-2025) and counterparty risk management in derivatives, funded by the Italian Ministry of Universities and Research.

• Financial Econometrics
• Market Microstructure
• Nonlinear Filtering
• +۷ مورد دیگر

Giuseppe Buccheri serves as an Associate Professor of Econometrics (13/ECON-05) in the Department of Economics at the University of Verona since 2024. Previously, he held positions as senior assistant professor (RTDB) at the same department and junior assistant professor (RTDA) at the Department of Economics and Finance of University of Rome Tor Vergata. His academic appointments include membership on the Faculty Board of PhD in Economics and Finance, Collegio didattico di Economics and Data Analysis, Research Commission, and Economics Department Council. His educational background features a PhD in Financial Mathematics from Scuola Normale Superiore, an MSc in Finance from Bocconi University, and an MSc in Theoretical Physics from the University of Catania. This interdisciplinary foundation supports his research at the intersection of financial theory, statistical methods, and economic applications. Dr. Buccheri's research focuses on advanced econometric techniques for financial markets, particularly in Financial Econometrics, Market Microstructure, Nonlinear Filtering, and Financial Economics. His work addresses critical challenges in time-series analysis, model validation, volatility estimation, and portfolio optimization. The JEL classifications of his research span C32 (Time-Series Models), C52 (Model Evaluation), C58 (Financial Econometrics), and G11 (Portfolio Choice). His recent publications demonstrate a strong trend toward developing sophisticated statistical methods for high-frequency financial data analysis, with particular emphasis on score-driven models, realized volatility/covariance estimation, and handling market microstructure effects. These contributions advance the field by addressing measurement errors, asynchronous trading, illiquidity effects, and model identification challenges in modern financial markets. As an educator, Dr. Buccheri teaches Financial Econometrics, Quantitative Methods for Business and Economics, and Time Series and Forecasting across multiple graduate programs including Master's degrees in Banking and Finance and Economics and Data Analysis, as well as PhD courses in Financial Time Series. He serves on various academic committees related to research, teaching, and PhD program governance. His research activities connect with several institutional resources including CIDE (Centro Interuniversitario di Econometria) and the broader econometric research community at the University of Verona. His work contributes significantly to the department's research profile in quantitative methods for economics and finance.

• Statistics
• Probability
• Multivariate Geostatistical Modeling
• +۶ مورد دیگر

Marco Minozzo is an Associate Professor of Statistics at the University of Verona , affiliated with the Department of Economics within the School of Economics and Management. Previously, he served as a Researcher in Statistics at the University of Perugia. His academic credentials include a degree in Statistics and Economics from the University of Padova and a Ph.D. in Statistics from University College London. Research Focus : Modeling multivariate geostatistical data, Monte Carlo estimation algorithms, spatial and temporal statistical models, and applications in economics, finance, and environmental science. Teaching : Statistics and Probability at undergraduate, graduate, and postgraduate levels, including courses on data analysis with R, Python, MATLAB, and SAS. Third Mission : Active in public engagement and continuous education, with teaching assignments in professional master’s programs and specialized courses. Research Projects : FAIR-PLAY (marketing 4.0), Management Journal Relevance, Monte Carlo methods for geostatistics, and high-dimensional dependency models.

Emanuele Borgonovoمشاهده پروفایل

استاد

• Sensitivity Analysis
• Decision Analysis
• Risk Assessment
• +۶ مورد دیگر

Emanuele Borgonovo is a Full Professor and Director of the Department of Decision Sciences at Bocconi University. He holds a PhD from MIT and an MSc in Nuclear Engineering from Politecnico di Milano. As a Research Affiliate at MIT's Department of Nuclear Science and Engineering, he contributes to interdisciplinary research. His roles include Co-editor-in-Chief of the European Journal of Operational Research and former President of the Decision Analysis Society of INFORMS. His research focuses on sensitivity analysis methodologies, including the development of Differential Importance Measures adopted by NASA. Applications span risk assessment (e.g., space systems, climate models), machine learning, and optimal transport theory. Key contributions include methods for feature importance, interaction quantification, and probabilistic sensitivity measures. Education: PhD, Massachusetts Institute of Technology, 2001 MSc in Nuclear Engineering (Mathematics/Physics focus), Politecnico di Milano Recipient of the 2020 Bocconi Teaching Innovation Award, Borgonovo teaches courses in quantitative methods, analytics, and computer experiments across undergraduate, graduate, and PhD programs. He pioneered the Bachelor in Economics, Management, and Computer Science at Bocconi. His work bridges theoretical advancements with practical applications in sustainability, business analytics, and policy, leveraging collaborations with institutions like NASA and the Silvio Tronchetti Provera Foundation.

Eugenio Melilliمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Confidence Distributions
• Population Forecasting
• +۴ مورد دیگر

Eugenio Melilli is an Associate Professor of Statistics in the Department of Decision Sciences at Università Commerciale Luigi Bocconi in Milan. He holds a degree in Mathematics (cum laude) from Università degli Studi di Milano and previously served as Assistant Professor (1996-2005) before his current appointment. His international teaching includes positions at Lobachevsky State University (Russia) and PhD instruction at Bocconi. Research specializes in Bayesian nonparametrics, confidence distributions, and stochastic population forecasting. He develops theoretical frameworks for exchangeability, Dirichlet processes, and expert-based demographic projections, with applications to psychometrics and social statistics. Key Contributions: Developed methods for confidence distributions in Rasch models, advanced Bayesian approaches to population forecasting, and extended de Finetti's theorem for partially exchangeable sequences.