جستجوی استاد راهنمای دانشگاهی

Felix Poegeمشاهده پروفایل

استادیار

• Innovation Strategy
• Strategic Management
• Economics of Innovation
• +۳ مورد دیگر

Felix Poege is an Assistant Professor at Bocconi University’s Department of Management and Technology. Prior to this role, he held positions as a Postdoctoral Associate at Boston University’s Technology & Policy Research Initiative and a junior research fellow at the Max Planck Institute for Innovation and Competition in Munich, Germany. His office is located at 4-E1-11 on Via Guglielmo Röntgen, 1, 20136 Milano. His research focuses on the innovation strategy of firms under competition, integrating perspectives from strategic management, economics of innovation, industrial organization, and human capital dynamics. A central theme in his work involves analyzing how institutional changes (e.g., firm breakups) influence industry competition and innovation outcomes. His methodologies often bridge theoretical frameworks with empirical analysis, including the use of computational tools for policy evaluation. Poege’s publications demonstrate interdisciplinary engagement, combining strategic insights with quantitative rigor. His 2019 study in Science Advances explores the interplay between scientific quality and invention value, while his 2017 collaboration in The Stata Journal provides methodological advancements for poverty measurement. Additionally, he has forthcoming work examining knowledge acquisition at scientific conferences and the effects of profit taxation on R&D investments. No scientific awards were explicitly mentioned in the provided text. Poege teaches courses such as Business Economics - Module II (Analytic Methods) and Data-Driven Analysis and Decision-Making in Business , reflecting his expertise in applying quantitative tools to managerial challenges. His academic trajectory includes affiliations with prestigious institutions, though no grants or current advisees are listed in the available information. Poege’s research collaborations span multiple institutions, including the Max Planck Institute and Boston University’s Technology & Policy initiative, highlighting his engagement in interdisciplinary networks.

• Multidimensional Data Analysis
• Classification Problems
• Information Society
• +۴ مورد دیگر

Maria Adele Milioli is an Associate Professor at the Faculty of Economics, Department of Economic and Business Sciences, University of Parma. She has been a faculty member since 1998 and previously served as a researcher at the same institution from 1990 to 1998. She earned her PhD in Statistics from the University of Trento in 1988. Current Appointments: Associate Professor, University of Parma (1998-present) Past Appointments: Researcher, University of Parma (1990-1998) Her research focuses on multidimensional data analysis , with recent emphasis on classification problems in the context of the information society . She has co-authored over 40 scientific papers, primarily in business statistics and applied statistical inference. Key research areas include: Econometrics Statistical Modeling Financial Inclusion Social Equity Business Data Analysis She teaches Business Statistics (Modules 1-2) at the second cycle degree level in Business Administration and Statistics in Economics and Management programs across multiple academic years (2013-2025). Her publications reflect expertise in statistical methodology, economic applications, and financial policy analysis. Contact: mariaadele.milioli@unipr.it

• Shape Analysis
• Permutation Tests
• Multivariate Statistics
• +۴ مورد دیگر

Chiara Brombin serves as Associate Professor of Statistics (SECS-S/01) at Vita-Salute San Raffaele University's Faculty of Psychology and contributes to the University Center for Statistics for Biomedical Sciences (CUSSB). Her academic career at the institution spans from Research Fellow (2010-2013) through fixed-term researcher positions (2013-2021) to her current role, demonstrating sustained institutional engagement and scholarly progression. Education: PhD in Statistical Sciences (2009), University of Padua Bachelor's Degree in Statistical and Economic Sciences (2005), University of Padua Research Focus: Dr. Brombin specializes in shape analysis, permutation testing, and advanced multivariate modeling with biomedical applications. Her work develops computational frameworks integrating facial expressions/biosignals (FIRB 2012 project) and applies joint latent class models to clinical subgroups. Recent publications emphasize statistical innovation in gene therapy efficacy, cancer treatment optimization, and pandemic response analytics through rigorous longitudinal/survival modeling. Publication Trends: Her 2024-2025 output in Nature, Science Translational Medicine, and specialized biostatistics journals reveals three converging themes: (1) network-based approaches for psychophysiological healthcare data, (2) joint modeling of longitudinal biomarkers with survival outcomes in immunology/oncology, and (3) shape analysis applications in genomic editing safety assessment. These works consistently integrate Bayesian networks with permutation-based validation. Scientific Recognition: Futuro in Ricerca 2012 award (MIUR) for emotion interpretation research Academic Leadership: Dr. Brombin has coordinated doctoral committees for Cognitive and Behavioral Sciences (2022-2024 cycles) and secured FIRB project funding as national coordinator. Her teaching portfolio spans undergraduate statistics methodology to graduate advanced modeling, with current responsibility for five courses including Multidimensional Data Analysis and Advanced Modeling in Psychology. She maintains active collaboration with CUSSB research teams on gene therapy and cancer imaging projects. Research Infrastructure: As core faculty in CUSSB, she leads statistical development for interdisciplinary teams in hematopoietic stem cell research and prostate cancer radiotherapy trials, applying shape analysis to [11C]-choline PET/CT imaging data and developing open-source tools for joint model implementation.

Simone Lentiمشاهده پروفایل

استادیار

• Cybersecurity
• Visual Analytics
• Human-Computer Interaction

Simone Lenti is an Assistant Professor (Ricercatore RTDa) at the Department of Computer, Control, and Management Engineering of Sapienza University of Rome. He is an active member of the A.WA.RE research group , which specializes in visual analytics. Lenti obtained his Ph.D. in 2021 with a dissertation on visual analytics techniques for cybersecurity. His research bridges cybersecurity , visual analytics , and human-computer interaction , focusing on: Developing computational methods for vulnerability analysis (e.g., NLP for CVE relevance, smart contract taxonomies) Designing visual tools for threat detection (e.g., attack graphs, firmware fuzzing) Enhancing interpretability in data-driven systems (e.g., partial dependence analysis, process mining) Lenti's publications (2019–2025) demonstrate a consistent focus on applying visual analytics to cybersecurity challenges , with recent expansions into bioinformatics and education. Key trends include automated vulnerability management, human-centered explainability, and scalable threat modeling. Awards: IEEE VizSec 2018 Best Paper for contributions to cybersecurity visualization. He contributes to academic infrastructure through tools like easyDeclare (declarative process modeling) and BUCEPHALUS (business-centric cybersecurity analysis), emphasizing practical applications of his research.