جستجوی استاد راهنمای دانشگاهی

Monica Banzatoمشاهده پروفایل

دانشیار

• Digital Literacy
• Pedagogical Theory
• Contemporary Educational Practice
• +۵ مورد دیگر

Monica Banzato is an Associate Professor of Experimental Pedagogy at Ca' Foscari University of Venice, affiliated with the Department of Comparative Linguistic and Cultural Studies. She leads research initiatives at the Research Institute for Digital and Cultural Heritage. Her work focuses on digital literacy, narrative learning, and open educational resources, with a particular emphasis on technology integration in teacher training and K-12 education. Banzato holds a PhD from the University of Padua (2006) and has conducted research at Brunel University (London) on digital literacy. She coordinates EU-funded projects like Share.TEC and REACT, emphasizing collaborative learning and educational equity. She serves on editorial boards for journals like Formazione & Insegnamento and Italian Journal of Educational Technology . Her research spans computational thinking gender disparities, robotics in education, and multicultural pedagogy. She advises multiple research grants including PRIN 2011 and Erasmus+ initiatives. Banzato collaborates with institutions like the Italian Pedagogy Association (SIPED) and the International Federation for Information Processing (IFIP). Education: PhD in Pedagogical and Didactic Sciences, University of Padua (2006) Bachelor's Degree in Philosophy, Ca' Foscari University (1996) Research Interests: Digital literacy, narrative learning (e.g., digital storytelling), open educational resources, computational thinking in schools, and technology-driven pedagogy. Her work bridges theoretical frameworks with practical applications in multicultural and inclusive education settings. Recent Trends in Publications: Focus on migrant youth integration through digital media, gender equity in STEM education, and adaptive learning for students with disabilities. Her studies often explore how technology mediates social inclusion and educational engagement. Grants & Projects: PRIN 2011 – Pedagogical Ontologies and Research Evaluation (2011–2013) SEEVAL Erasmus+ – Social and Emotional Education (2022–2025) REACT – Entrepreneurship through Communication Tech (2017–2018) Labs/Teams: Active contributor to the Research Institute for Digital and Cultural Heritage and collaborates with interdisciplinary teams on projects involving robotics for children, digital narrative design, and multicultural classroom strategies.

• Educational Technology
• Higher Education
• Learning Assessment
• +۳ مورد دیگر

Anna Serbati is an Associate Professor at the University of Trento (UniTrento), based in the Department of Psychology and Cognitive Science. She coordinates the FormID – Teaching and Learning Center and is actively involved in educational innovation and faculty development. Her expertise spans educational technology, learning assessment, qualitative research methods, and teacher training. Her research focuses on leveraging technology for formative assessment, peer feedback mechanisms, and inclusive pedagogy. She has contributed to projects such as the REFLECT Model and the design of MOOCs to enhance academic development processes. Her work emphasizes the integration of AI and data justice principles into educational practices to foster equitable learning environments. Anna teaches courses on qualitative research methodologies, socio-territorial work, and psychology of learning. She collaborates with colleagues in interdisciplinary teams to design evidence-based curricula and assessment tools. Her publications highlight her commitment to advancing educational practices through empirical research and partnerships between students and educators. Her contributions extend to institutional initiatives, including the analysis of teaching practices and the development of guidelines for recognizing and enhancing university teaching quality. She actively engages in community-oriented projects to bridge academic research with practical educational challenges.

Maria Dentaleمشاهده پروفایل

پژوهشگر

• Sociology
• Social Policy Evaluation
• Mixed Methodology
• +۷ مورد دیگر

Maria Dentale is a Researcher in General Sociology at the Department of International Human and Social Sciences (SUSI) of the University for Foreigners of Perugia. She holds a Ph.D. in Social Science Methodology and has achieved the National Scientific Qualification for Associate Professor in the sector of General Sociology (14/C1), affirming her academic qualifications. She is actively engaged in research on social policy evaluation and mixed-methods approaches. Research Interests: Social Policy Evaluation Mixed and Integrated Methodologies Street-Level Bureaucracy and Implementation Social Impact Assessment Poverty and Inequality Educational Policies and Digital Skills Gender and Youth Studies Her recent publications from 2018 to 2023 reflect a consistent focus on evaluation research, particularly in educational and social policy contexts, often employing mixed methods and case study designs. Themes include distance learning during the pandemic, school-work alternance, poverty alleviation, and voting behavior, indicating a strong interdisciplinary and applied sociological orientation. Professional Affiliations: Italian Association of Sociology (AIS) Italian Evaluation Association (AIV) Advising and Grants: No information is available regarding graduate students supervised or research grants obtained. However, her extensive co-authorship suggests active collaboration in research projects and teams. She has contributed to national and European conferences, indicating engagement with broader academic networks. Labs and Research Teams: While specific labs or research centers are not named, her work on social infrastructure, policy evaluation, and educational projects implies participation in interdisciplinary research teams, likely within the Department of International Human and Social Sciences or in collaboration with external institutions.

• Mechanical Engineering
• Automotive Engineering
• Mechatronics
• +۹ مورد دیگر

Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.

• Labor Economics
• Political Economy
• Public Policy
• +۳ مورد دیگر

Andrea Carlo Michele Ichino is a Full Professor of Economics at the European University Institute (EUI) in Florence, Italy, on unpaid leave from the University of Bologna since 2019. He holds a PhD in Economics from MIT and a degree from Bocconi University. His research focuses on labor economics, public policy, education reform, and pandemic response strategies. He has been a prominent voice in debates on standardized testing (INVALSI), teacher evaluation, and merit-based school reforms. Notably, during the COVID-19 pandemic, he co-authored influential policy proposals advocating age-stratified lockdown strategies to balance health and economic impacts. Ichino has held academic roles at Bocconi University, the Institute for Advanced Studies in Princeton, and the University of Bologna. He advocates for transparent, standardized educational assessments to improve school accountability and student outcomes. His work also addresses systemic issues in Italian education, emphasizing meritocracy and school autonomy. Outside academia, he pursues mountain biking, sailing, and olive oil cultivation at his Tuscan property. Education: PhD in Economics (MIT, 1990), Laurea in Economics (Bocconi University, 1985) Grants: Unicredit Foundation Education Grant for research on educational policy Key Contributions: Pandemic policy modeling, advocacy for standardized testing in education, critique of Italian school reforms Research Interests: Labor market dynamics, political economy of education, epidemiological policy analysis, and merit-based institutional reforms.

• Quantum Computing
• Machine Learning
• Parallel and Distributed Systems
• +۱ مورد دیگر

Giacomo Vitali is a Ph.D. candidate in Computer and Systems Engineering at the Politecnico di Torino , Department of Control and Computer Science (DAUIN), while also serving as a Lecturer at the same institution. His research focuses on Quantum Computing , Machine Learning , and Parallel and Distributed Systems . Education: M.Sc. in Physics of Fundamental Interactions (2018) from the University of Pisa Research: Pioneering hybrid quantum-classical algorithms for industrial applications, including BBQ-mIS and DEN models for graph problems and quantum hardware optimization Teaching: Contributing to courses on Quantum Hardware Design and Quantum Computing at the M.Sc. level, as well as undergraduate courses in Computer Science

• Multivariate Analysis
• Fuzzy Clustering
• Probabilistic Graphical Models
• +۳ مورد دیگر

Vincenzina Vitale serves as a Tenure-Track Assistant Professor of Statistics within the Department of Social and Economic Sciences at Sapienza University of Rome. Her academic profile centers on advanced statistical methodologies with applications spanning economics, public policy, and sustainability initiatives. She teaches core courses including Statistics and Data Science for Sustainability and Statistical Methods and Models for Economics and Public Policy, maintaining regular office hours on Tuesdays from 12:30 to 14:30 by email appointment. Her research program focuses on multivariate analysis, specializing in innovative fuzzy clustering techniques for complex data structures such as time series, spatial data, and mixed data types. She extensively employs probabilistic graphical models, particularly Bayesian networks, for data integration and modeling challenges. This work bridges theoretical statistics with practical applications in electoral analysis, financial volatility, sports analytics, and public health domains including COVID-19 pandemic response. Analysis of her 15 most recent publications reveals a dominant trend toward developing spatially-aware and robust fuzzy clustering algorithms. These methods increasingly incorporate regularization techniques, entropy principles, and copula models to handle interval-valued data, count data, and tail dependencies. Key application areas include regional competitiveness measurement (NUTS2/NUTS3 frameworks), electoral studies, sports performance analytics, and pandemic modeling, demonstrating consistent contributions to top-tier statistical journals. No scientific awards or fellowships were documented in the available materials. While her publication record indicates significant research productivity, specific details regarding graduate student advising, research grants, or collaborative projects were not explicitly mentioned in the provided texts. Similarly, information about laboratory facilities or dedicated research teams remains undocumented in the current sources.

Laura Astolfiمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Neuroscience
• Brain Connectivity
• +۴ مورد دیگر

Laura Astolfi is an Associate Professor at the Department of Computer, Control, and Management Engineering , Sapienza University of Rome, and a Researcher at Fondazione Santa Lucia Hospital, Italy. She leads the Bioengineering and Bioinformatics Laboratory and is a Junior Fellow at the Sapienza School for Advanced Studies. Ph.D. in Biomedical Engineering, University of Bologna Master's in Electronic Engineering, University of Rome Sapienza Her research spans brain connectivity , high-resolution EEG source reconstruction , neurorehabilitation , hyperscanning , and social neuroscience . Key applications include disorders of consciousness and motor recovery post-stroke. Recent publications focus on deep learning for EEG localization , functional ultrasound imaging , and multi-subject brain network analysis . Awards include World's Top 2% Scientists (2021–2024) and the Best Under-40 Researcher Award at Sapienza (2010). Associate Editor, Brain Topography , Medical & Biological Engineering & Computing , and IEEE Open Journal of Engineering in Medicine and Biology 261 peer-reviewed papers, 8933 citations, H-index 45

Marco Temperiniمشاهده پروفایل

دانشیار

• Technology Enhanced Learning
• Student Modeling
• Teacher Modeling
• +۹ مورد دیگر

Marco Temperini is an Associate Professor of Information Processing Systems at Sapienza University of Rome, where he teaches programming techniques and web programming languages. With a Mathematics degree (1986) and Computer Science PhD (1992) from Sapienza University, he has established himself as a prominent researcher in educational technology. His educational background includes: Laurea in Matematica (1986, Sapienza University of Rome) Dottorato in Informatica (1992, Sapienza University of Rome) Professor Temperini's research focuses on Technology Enhanced Learning, with particular expertise in Student and Teacher Modeling, Adaptive e-learning systems, and the application of Data Mining and Artificial Intelligence techniques to personalize learning content. His work extends to Social and Collaborative Learning environments, Game Based Learning approaches, and innovative Automated and Peer Assessment methodologies. With extensive international collaboration experience, he has coordinated research units and served as work-package leader in numerous projects including EuroCompetence, UnderstandIT, and 9Conversations. His recent publications (2023-2024) reveal a strong trend toward applying advanced AI techniques, particularly large language models, to educational assessment challenges. These works demonstrate increasing sophistication in leveraging natural language processing for automated analysis of student work, concept maps, and programming assignments, while maintaining a strong focus on practical educational applications. Notable scientific recognition includes: 2023 Best Reviewer Award 2023 Best Paper Award 2022 Best Paper Award 2021 Best Paper Award 2018 Best Paper Award at ICWL2018 Membership on the Human-Computer Interaction Awards Committee (2021.6-2024.7) Professor Temperini has been highly active in the academic community, serving as Conference co-Chair for ICWL (2016), Technical Program co-Chair for multiple conferences including MIS4TEL and SETE, and General Chair for MIS4TEL2022 and SETE2023. He is a member of the Steering Committee for ICWL and MIS4TEL conferences and serves on the IEEE Technical Committee on Learning Technology. As an associate editor for the International Journal on Distance Education Technology, Frontiers in Artificial Intelligence, and Computers & Education: Artificial Intelligence, he plays a significant role in shaping research directions in educational technology. His leadership extends to numerous international projects where he has served as coordinator of research units and work-package leader, including EuroCompetence, Socrates Project 56544-CP-1-98-1; CIOC, NFU Project 18; mENU, e-learning Project 2002-0510/001-001; QUIS, e-learning Project 2004-3538/001-001; UnderstandIT, Leonardo Da Vinci Transfer of Innovation; and 9Conversations: Network building for self-employment of refugees. These projects demonstrate his commitment to applying technology to address real-world educational challenges across diverse contexts.

• Algorithms on strings
• Formal language theory
• Bioinformatics
• +۳ مورد دیگر

Chiara Epifanio is a researcher (INFO-01/A) at the University of Palermo , based in the Department of Mathematics and Computer Science . She holds regular office hours on Tuesdays 14:30–17:00 in Room 104, first floor, Via Archirafi 34, and can be reached at chiara.epifanio@unipa.it . Over the past fifteen years she has designed and taught a diverse portfolio of courses spanning Programming , Bioinformatics , Advanced Programming , Teaching Methodologies and Techniques for Computer Science and Pattern Discovery for Life Sciences . These offerings serve degree programmes in Mathematics, Computer Science, Statistics & Data Science, and the recently launched curricula in Data, Algorithms & Machine Intelligence and Computer Science & Artificial Intelligence . Her research lies at the intersection of combinatorics on words , string algorithms , and bioinformatics . She has made sustained contributions to the design of alignment-free distances for biological data, the theory of Sturmian words and their associated graphs, suffix automata tolerant to mismatches, and compact data structures such as linear-size suffix tries. The work repeatedly draws on deep results from formal language theory, automata theory, and discrete mathematics to solve practical problems in sequence analysis. Publications trend: From 2004 onward she has produced a steady stream of peer-reviewed articles that move from foundational combinatorial results on Sturmian words and critical factorization theorems toward application-driven studies on approximate string matching and genomic data mining. A marked acceleration is visible in the 2023 publications addressing k-Hamming and k-edit distances, reflecting current demands in large-scale biological data analytics. Scientific awards: None explicitly mentioned in the provided material. Advising & grants: No PhD or Master’s students are listed in the supplied pages, and no funded project descriptions are available. Laboratories & teams: While no specific lab is named, her teaching and research are embedded within the Department of Mathematics and Computer Science, which hosts groups in algorithms, discrete mathematics, and bioinformatics, and provides access to the university’s ATeN Center and other research infrastructures.

• Bayesian Statistics
• Statistical Modeling
• Functional Data Analysis
• +۴ مورد دیگر

Raffaele Argiento is a Full Professor of Statistics at the Department of Economics, University of Bergamo since September 2021. His academic career focuses on advanced statistical methodologies with applications across various domains including environmental science, public health, and data analysis. His research is prominently featured in high-impact statistical journals and conference proceedings. Argiento's research interests center around Bayesian statistical methods, particularly in functional data analysis, nonparametric Bayesian modeling, and clustering techniques. His work demonstrates expertise in developing innovative statistical approaches for complex data structures, including spatio-temporal data, categorical variables, and high-dimensional datasets. His research has significant applications in environmental monitoring (particularly air pollution analysis), public health (obesity rate modeling), and seismic monitoring through crowdsourced data. His methodological contributions include advancements in mixture models, partition models, and computational algorithms for statistical inference. His recent publication record shows a strong trend toward developing computationally efficient Bayesian methods for real-world applications. The research spans from theoretical developments in nonparametric Bayesian statistics to practical implementations for environmental monitoring, health data analysis, and functional data processing. His work demonstrates a consistent focus on bridging theoretical statistical advancements with practical applications across multiple scientific domains. Professor Argiento teaches several advanced statistical courses at the University of Bergamo, including Applied Statistical Modelling , Probability and Statistics , and Statistical Models for both undergraduate and graduate programs in Economics and Data Analysis. His teaching reflects his research expertise, emphasizing modern statistical methodologies and computational approaches.

• Educational Assessment
• Experimental Pedagogy
• Quality Evaluation in Educational Contexts
• +۳ مورد دیگر

Rossella D'Ugo is an Associate Professor at the Department of Humanistic Studies (DISTUM) at the University of Urbino Carlo Bo. She holds the position of Professore Associato in M-PED/04 and teaches across multiple educational programs including Primary Teacher Education, Education Sciences, and the Master's program in Pedagogy. Her research expertise focuses on educational assessment methodologies and tools designed to enhance quality in school and extracurricular contexts. She specializes in developing evaluation systems for teaching practices, educational services, and learning environments, with particular emphasis on early childhood education and innovative pedagogical approaches. Her recent publications demonstrate a strong focus on practical assessment tools for educators, covering areas such as preschool quality evaluation, Montessori education assessment, collaborative teaching practices, and moral education curriculum development. Her work bridges theoretical pedagogy with practical classroom applications. Her teaching portfolio for the 2025/2026 academic year includes multiple courses in educational assessment, experimental pedagogy, and educational planning across different degree programs, reflecting her comprehensive expertise in educational evaluation systems.

Federico Batiniمشاهده پروفایل

دانشیار

• Educational Sciences
• Pedagogy
• Child Development
• +۴ مورد دیگر

Federico Batini is an Associate Professor at the University of Perugia's Department of Philosophy, Social Sciences, Humanities and Education, specializing in Experimental Pedagogy. He leads research initiatives like the Tuscany Region's 'Leggere:forte!' program promoting reading aloud in schools. His work focuses on literacy, narrative guidance, and educational policy, emphasizing teacher professionalism and student resilience. He coordinates the Level I Master's program 'Narrative Orientation and Prevention of School Dropout' and teaches courses such as 'Experimental Pedagogy' and 'Methodology of Educational Research.' Batini collaborates with institutions like the Crespi Center and organizes webinars on educational topics. His recent projects address challenges posed by the pandemic, offering resources for educators and families. His research explores bullying prevention, literacy strategies, and the impact of storytelling on child development. He has published books like 'Leggere ad alta voce' and 'Leggimi ancora,' and his work spans conferences, policy advocacy, and community engagement.

• Artificial Intelligence
• Bioinformatics
• Machine Learning
• +۷ مورد دیگر

Enrico Blanzieri is an Associate Professor at the University of Trento's Department of Information Engineering and Computer Science. His research focuses on artificial intelligence, bioinformatics, quantum computing, machine learning, and computational biology. He actively contributes to interdisciplinary projects such as Vitis OneGenE for gene network analysis and quantum machine learning pipelines. His teaching includes courses like Algorithms for Bioinformatics, Quantum Machine Learning, and Data Mining. Blanzieri's work bridges theoretical foundations and practical applications, with notable contributions in quantum annealing-based algorithms, gene network expansion using distributed computing, and socially-competent artificial agents. His research integrates computational methods with biological systems, addressing challenges in precision agriculture and systems biology. His recent publications emphasize quantum machine learning advancements, causal role attribution in gene networks, and ethical AI frameworks for language models. Collaborative projects include the GENE@HOME volunteer computing initiative for bioinformatics tasks. Blanzieri also engages in educational activities, supervising courses that blend theoretical computer science with real-world applications.

• Disability Studies
• Global Health
• Rehabilitation Sciences
• +۷ مورد دیگر

Marco Tofani is a Tenure-Track Researcher at the Department of Life, Health, and Health Professions Sciences at Link Campus University in Rome. He specializes in Migration, Disability, and Global Health and holds a PhD in Infectious Diseases, Microbiology, and Public Health (2023) from Sapienza University of Rome. BSc in Neuro- and Psychomotor Therapy of Developmental Age (2009) BSc in Occupational Therapy (2014) Master's in Rehabilitation Sciences (2017) Specialization in Neurorehabilitation (Bobath concept, 2014) First Level Master's in Hand Rehabilitation (2015, University of Milan) His research focuses on disability validation studies , assistive technologies, and community-based rehabilitation frameworks. He collaborates with the Bambino Gesù Children's Hospital on pediatric dysphagia protocols and prosthetics, and serves as an international consultant for the World Health Organization in Ukraine. He co-founded the ROMA - Rehabilitation & Outcome Measures Assessment Association and leads the Disability and Migration Working Group at the Italian Society of Migration Medicine (since 2017). Recent publications include validation of clinical tools for pediatric dysphagia , prosthetic satisfaction, and global health equity, with a focus on cross-cultural adaptation and psychometric rigor. His work bridges clinical practice and policy for refugee populations. No scientific awards are explicitly listed in the provided text.