Find Academic Supervisors

• Participatory Geography
• Collaborative Mapping
• Sustainable Territorial Regeneration
• +4 more

Federica Burini is a Full Professor of Geography at the Department of Foreign Languages, Literatures and Cultures of the University of Bergamo . She serves as Scientific Coordinator of the Imago Mundi Lab, member of the Center for Territorial Studies, and Scientific Director of OrobieLab. Her academic career spans participatory processes, collaborative mapping, and sustainable territorial regeneration. Full Professor of Geography Imago Mundi Lab Coordinator Center for Territorial Studies member OrobieLab Scientific Director Research Focus : Federica specializes in participatory geography through collaborative mapping techniques for environmental governance in both rural and urban contexts. Her work emphasizes sustainable development in Sub-Saharan Africa and European mountainous regions, with particular attention to landscape valorization via participatory processes and responsible tourism. Key projects include digital co-mapping initiatives for community engagement and territorial regeneration. Participatory mapping tools Sustainable tourism frameworks Mountainous area development Rural community empowerment Digital geospatial applications Landscape perception studies Publications : Recent works explore digital collaborative mapping tools (2024), industrial heritage interpretation for slow tourism (2024), and water resource-driven community regeneration (2024). Earlier contributions examine pandemic impacts on tourism (2020) and participatory cartography methodologies (2016). Her research consistently bridges geographical theory with practical territorial governance solutions.

Andrea GarzelliView profile

Professor

• Remote Sensing
• Image Processing
• Signal Processing
• +4 more

Andrea Garzelli is a Full Professor at the University of Siena's Department of Information Engineering and Mathematical Sciences. His research focuses on remote sensing image processing, particularly in optical and SAR sensor technologies, image fusion, and spatial resolution enhancement. He holds teaching roles in 'Fundamentals of Signal Processing and Telecommunications' and 'Statistical Signal Processing.' He earned his Ph.D. in Computer Science and Telecommunication Engineering from the University of Florence. Notably, he was recognized as a World's Top 2% Scientist by Stanford University for 2019–2023 and his career-long contributions. He served as President of the University of Siena's Quality Assurance Committee (2016–2021) and currently coordinates the graduate program in Computer and Information Engineering. Research interests include satellite data analysis (e.g., Sentinel-2, PRISMA), hypersharpening techniques, and environmental monitoring. His work bridges theoretical advancements (e.g., pansharpening algorithms) and practical applications like urban land classification and vegetation index enhancement. Recent articles emphasize reproducibility, meta-analysis, and synthetic data generation through GANs. Awards: World's Top 2% Scientists (2019–2023 & career). Grants/Advising: Supervises remote sensing theses; no specific grants mentioned. Labs/Teams: Leading research in the department's remote sensing and signal processing groups.

Andrea BonariniView profile

Professor

• Artificial Intelligence
• Robotics
• Machine Learning
• +4 more

Andrea Bonarini is a Professor at the Department of Electronics, Information, and Bioengineering (DEIB) within the School of Industrial and Information Engineering at Politecnico di Milano. His research focuses on Artificial Intelligence , Robotics , and Human-Robot Interaction , particularly in assistive technologies for children with disabilities and autism therapy. Key Research Areas: Reinforcement Learning, Social Robotics, Affective Computing, Accessibility in Robot Design Notable Projects: Development of frameworks like Mushroomrl and datasets like POLIMI-ITW-S for robotics research His recent publications highlight advancements in playful robotics for neurodevelopmental disorders, emotion projection in non-bio-inspired robots, and safety experiments for small social robots interacting with children. He also contributes to ethical, social, and psychological challenges in robotics applications.

Emma ColamarinoView profile

Researcher

• Electroencephalographic (EEG) Signal Processing
• Electromyographic (EMG) Signal Processing
• Brain-Computer Interfaces (BCI)
• +4 more

Emma Colamarino is a Researcher at the Department of Computer, Control and Management Engineering "Antonio Ruberti" of Sapienza University of Rome. She holds an M.Sc. in Biomedical Engineering (2014, cum laude) and a Ph.D. in Bioengineering (2019). Since 2015, she has been a research collaborator at the Neuroelectrical Imaging and Brain-Computer Interfaces Lab of IRCCS Fondazione Santa Lucia in Rome and served as a Visiting Ph.D. student at Imperial College London (2018). From 2019 to March 2023, she was a Post-Doctoral Fellow at Sapienza University. Her research focuses on Advanced electroencephalographic (EEG) and electromyographic (EMG) signal processing Brain-Computer Interface (BCI) protocols for cerebral function recovery Machine learning in neurorehabilitation Hybrid BCIs integrating cortico-muscular networks Recent publications address stroke rehabilitation, BCI design, spectral graph theory, and EMG-EEG integration. Her work spans biomedical data analysis, neuroengineering, and rehabilitation technology validation. Scientific awards include multiple grants from Sapienza University and the Italian Ministry of Health, a Student Award at the 7th International BCI Meeting (2018), and recognition as a Subject Expert (2019). She has supervised/co-supervised 18 MD theses across Biomedical, Management, and Robotics Engineering disciplines.

Andrea MaurinoView profile

Professor

• Data Science
• Knowledge Graphs
• Machine Learning
• +5 more

Andrea Maurino is a Full Professor at the University of Milano-Bicocca and leads the Insid&s LAB. His research focuses on data quality, knowledge graphs, machine learning, and their applications in healthcare, finance, urban planning, and organizational analysis. He explores cutting-edge techniques like Large Language Models (LLMs) for decision support systems and semantic annotation of tabular data. Key research interests include improving data quality frameworks for large RDF datasets, developing enterprise knowledge graphs for organizational insights, and applying AI to social media analysis and hate speech detection. His work bridges theoretical advancements with real-world applications such as smart city mobility prediction and nutritional strategies for healthy aging. Notable contributions include scalable tools like ABSTAT-HD for knowledge graph profiling and the 3d-clost mobility prediction model. Maurino’s interdisciplinary approach integrates data science with fields like psychology (ICD-11 decision support) and environmental science (ESG activity detection in financial texts). His lab collaborates on projects like Food NET, combining nutrition science with social network analysis. While no formal awards are listed here, his prolific publication record reflects sustained innovation in data-driven methodologies.

• Structural Health Monitoring
• Machine Learning in Civil Engineering
• Earthquake Engineering
• +9 more

Marco Martino Rosso is a Research Fellow at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin, where he also serves as an external lecturer and teaching assistant in both DISEG and the Department of Mathematical Sciences (DISMA). He is affiliated with the Doctoral School (SCDOTT) and completed his PhD under the supervision of Professor Giuseppe Carlo Marano. His academic work bridges civil engineering with advanced computational methods, focusing on structural health monitoring, optimization, and machine learning applications. His research interests center on Structural Health Monitoring , Machine Learning in Civil Engineering , Earthquake Engineering , Structural Optimization , Operational Modal Analysis , and AI-driven diagnostics for infrastructure. He applies deep learning, neural networks, and hybrid modeling techniques to problems such as damage detection, post-earthquake assessment, tunnel and bridge monitoring, and dynamic analysis of timber and concrete structures. His recent publications, spanning from 2023 to 2025, demonstrate a strong trend toward integrating artificial intelligence with structural engineering, particularly in automating modal analysis, optimizing structural forms, and enhancing seismic resilience. These works appear in journals like Mechanical Systems and Signal Processing , Computers & Structures , and Bulletin of Earthquake Engineering , as well as in proceedings of international conferences such as IOMAC and EWSHM. Marco Rosso has not received any explicitly mentioned scientific awards in the provided text. However, his extensive publication record and active role in research projects indicate strong recognition in his field. He has contributed to teaching as a course collaborator in subjects including Dynamic Identification of Structures , Statistics , Construction Techniques , and Safety Assessment and Retrofitting of Structures . He has also been involved in the ARTISTE 2025 Summer School, indicating engagement in advanced training programs. While no formal lab or team name is specified, his frequent collaborations with researchers such as Angelo Aloisio, Giuseppe Carlo Marano, and Jonathan Melchiorre suggest he is part of a vibrant research group focused on intelligent structural systems and data-driven engineering at Politecnico di Torino.

Fabio PranoviView profile

Professor

• Marine Ecology
• Ecosystem-Based Fisheries Management
• Climate Change Impact on Coastal Ecosystems
• +3 more

Fabio Pranovi is a Full Professor at the Department of Environmental Sciences, Computer Science and Statistics (DAIS) at Ca' Foscari University of Venice , and Laboratory Supervisor at the Responsible for Teaching and Research Activities in the Laboratory (RDRL) . He contributes to the Bauhaus of the Seas Sails (BoSS) and ClimeFish projects. Research Interests: Ecosystem approach to marine renewable resources, Climate change effects on coastal ecosystems, Ecosystem indicators, Spatial-temporal fishing analysis, Adriatic Sea biological communities Key Projects: H2020 BoSS (2023-2026), Interreg ECOSS (2019-2022), FP7 FORCE (2011-2014), PRIN projects on transitional ecosystems Scientific Awards: Editor, Marine Ecology Progress Series (2014) Review Editor, Frontiers in Marine Science Member, Journal of Sustainability & Environmental Management Member, ISRN Ecology Teaching: Offers courses on 'Fundamentals of Restoration Ecology' and 'Fishery Ecology' at bachelor's and master's levels. Chairs the Doctorate of Excellence in Science and Management of Climate Change advisory board.

Thomas Le BarbanchonView profile

Professor

• Labor Economics
• Public Finance
• Econometrics
• +5 more

Thomas Le Barbanchon is a Full Professor of Economics at Bocconi University since 2025 and holds the Rodolfo Debenedetti Chair in Labor Economics. He received his PhD from Ecole Polytechnique (CREST-ENSAE) in 2012 and has been affiliated with institutions like CEPR, CREST, J-PAL, LEAP, BIDSA, IGIER, IZA, and IFS. His research focuses on labor economics, particularly job search mechanisms, unemployment insurance effects, gender disparities, and labor market policy evaluation. Educational background: PhD in Economics (Ecole Polytechnique), MSc in Economics (Universitat Pompeu Fabra), Diplôme d'ingénieur statisticien-économiste (ENSAE), and Diplôme d'ingénieur (Ecole Polytechnique) Research highlights include: Quantifying the impact of unemployment insurance reforms in France Analyzing gender differences in job search behavior Studying the effectiveness of hiring credits during economic crises Investigating how traditional AI improves job matching Examining migrant-native job search segregation patterns Scientific contributions appear in top journals like American Economic Journal: Applied Economics , Quarterly Journal of Economics , and Review of Economic Studies . Awards include two ERC grants (2017 & 2024) and the Bocconi Impact Award (2022). He mentors PhD students in economics and labor policy, currently serves as Director of IGIER research center, and maintains active editorial roles at Review of Economic Studies and Journal of the European Economic Association .

• Augmented Reality
• Virtual Reality
• Biophilic Design
• +3 more

Michele Gattullo serves as an Assistant Professor within the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy, specializing in design methods for industrial engineering (ING-IND/15). His research bridges cutting-edge extended reality technologies with practical industrial applications, focusing on human-centered solutions for manufacturing, maintenance, and workplace design. Dr. Gattullo's research portfolio centers on Augmented Reality, Virtual Reality, and Biophilic Design, with significant contributions to Human-Computer Interaction in industrial contexts. He investigates how nature-inspired elements in virtual workspaces enhance employee well-being and productivity, while simultaneously developing practical AR tools for assembly guidance, technical documentation, and maintenance support. His work uniquely integrates ergonomics, cognitive psychology, and industrial engineering to optimize human-technology interaction in complex production environments. Analysis of his 15 most recent publications reveals two dominant research trajectories: biophilic design frameworks for virtual/metaverse workspaces (2023-2025) and industrial AR authoring methodologies. The biophilic stream establishes evidence-based guidelines for digital nature integration, while the AR stream delivers validated tools like ADAM and minimal AR approaches that streamline technical documentation creation. Both trajectories emphasize user experience validation through rigorous industrial studies, demonstrating strong interdisciplinary impact across computer science, industrial engineering, and environmental psychology. Scientific Awards: No awards or honors were documented in the available sources. Advising and Grants: The provided materials contain no information regarding graduate student supervision, research grants, or funding sources. His academic profile emphasizes publication output over mentoring activities or project financing details. Laboratories and Teams: While Dr. Gattullo's research involves advanced XR technologies, the source text does not specify laboratory facilities, research groups, or collaborative teams associated with his work at Politecnico di Bari.

• Electrical Engineering
• Modeling and Simulation
• Machine Learning
• +5 more

Igor Simone Stievano is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Electronics and Telecommunications (DET) and the Interdepartmental Center Ec-L - Energy Center Lab . He holds a PhD in Electrical Engineering and has supervised numerous students in disciplines spanning electromagnetic compatibility, machine learning, and multi-energy networks. His research interests include: Modeling and simulation of integrated circuits Machine learning for signal integrity Multi-energy network resilience Stochastic analysis of electrical systems Electromagnetic compatibility Key projects include the EU-funded SHIMMER initiative on hydrogen injection in gas networks and commercial contracts for high-speed I/O macromodeling. He serves as a chair and committee member at major conferences like the IEEE Workshop on Signal and Power Integrity. Scientific recognitions : IEEE Senior Member Recipient of the 2013 Futuro in Ricerca grant Editorial Board member of ENERGIES (2020-) Stievano actively participates in PhD college evaluations for Mathematical Sciences and Metrology programs at Politecnico di Torino, while teaching courses in Electrical Engineering and Digital Technologies across biomedical, computer, and media engineering curricula.

• Urban Planning
• Social Innovation
• Housing Policies
• +5 more

Nadia Caruso is an Associate Professor at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST) at Politecnico di Torino, where she serves as a faculty member and coordinates the Master's Degree in Urban and Territorial Planning. She is also a member of the FULL Interdepartmental Center - Future Urban Legacy Lab and actively participates in multiple doctoral colleges including Architectural and Urban Planning Engineering at Università degli Studi di Roma "La Sapienza" and Urban and Regional Development at Politecnico di Torino. Her research interests span Social Innovation, Housing Policies, Spatial Planning, Urban Regeneration, and Urban Studies, with a focus on the intersection of environmental and social challenges in urban contexts. Dr. Caruso's work emphasizes climate justice, territorial governance, and innovative approaches to urban planning, particularly examining how social innovation interacts with institutional frameworks in urban development processes across Italian regions. Analysis of her recent publications reveals a consistent focus on the challenges and innovations in Italian urban regeneration, with particular attention to Turin's development trajectory. Her work explores the tension between innovative approaches and crisis dynamics in urban contexts, examining temporary housing solutions, climate adaptation strategies, and the implementation of national recovery plans at the local level. A significant thread throughout her research is the examination of social justice dimensions in urban planning and the role of participatory approaches in addressing urban inequalities. INU Urban Planning Literature Award (2013) Stefano Pieracci Degree Award (2009) Dr. Caruso serves as Scientific Manager for multiple research projects including RESISTING (2023-2025), TReE (2023-2025), and URBANISM (2017-2019). She has directed numerous teaching activities across multiple degree programs and has been actively involved in collaborative agreements with public administrations. Her leadership roles include serving as President of AESOP Young Academics (2015-2016) and as a Fellow of the National Institute of Urban Planning. As Director of PLANEXT journal and through her involvement with the Future Urban Legacy Lab, Dr. Caruso contributes to advancing knowledge exchange in urban planning while maintaining strong connections between academic research and practical urban governance challenges.

FRANCESCA PAZZAGLIAView profile

Professor

• Spatial Cognition
• Environmental Psychology
• Spatial Learning
• +6 more

Francesca Pazzaglia is a Professor at the University of Padua, specializing in spatial cognition, environmental psychology, and the interplay between spatial abilities and environmental design. Her research focuses on wayfinding, aging-related spatial challenges, biophilic design, and the restorative effects of natural environments. She has extensively studied gender differences in spatial navigation, the impact of technology (e.g., GPS) on environmental knowledge, and dementia-friendly architectural guidelines. Her work bridges cognitive psychology with practical applications in healthcare and urban planning. Key research areas include: Restorative environments and their physiological/psychological benefits Spatial learning in virtual and real-world settings Design of healthcare and residential facilities for aging populations Gender and personality influences on navigation behaviors Recent studies highlight the role of nature exposure in improving cognitive performance, the efficacy of therapeutic gardens for dementia patients, and the psychological impacts of lockdowns during the pandemic. Pazzaglia collaborates internationally, emphasizing interdisciplinary approaches to sustainability in healthcare and urban development. Her research outputs include over 50 peer-reviewed articles, systematic reviews, and contributions to environmental certification criteria for health parks. While no formal awards are listed, her work is widely cited in environmental psychology and spatial cognition fields.

Andrea SottorivaView profile

Professor

• Cancer Evolution
• Computational Biology
• Genomics
• +4 more

Andrea Sottoriva is the Head of the Computational Biology Research Centre at Human Technopole , Milan, Italy, and holds the title of Professor of Cancer Genomics and Evolution . His work bridges computational biology, evolutionary theory, and clinical oncology to predict cancer progression and design adaptive treatment strategies. University of Bologna – BSc in Computer Science (2006) University of Amsterdam – MSc in Computational Sciences (2008) University of Cambridge – PhD in Computational Biology (2012) Dr. Sottoriva's research focuses on cancer evolution , applying machine learning and population genetics to decode tumor heterogeneity through multi-omics data. His lab integrates patient-derived organoids and spatial genomics to understand how genetic and epigenetic factors drive cancer progression. The 15 most recent publications demonstrate a consistent emphasis on subclonal dynamics (7/15), computational methods (6/15), and evolutionary modeling (5/15). Key themes include adaptive mutability in colorectal cancer , immune editing in post-transplantation relapses, and deep learning applications for tumor heterogeneity. Scientific recognition includes: Cancer Research UK Future Leaders in Cancer Research Prize (2016) His lab currently trains PhD students and postdoctoral researchers in computational oncology, maintaining a living biobank of patient-derived models while pioneering AI-mechanistic hybrid models for clinical translation.

Maria Laura CARRANZAView profile

Professor

• Ecology
• Remote Sensing
• Plant Invasion Dynamics
• +5 more

Prof. Maria Laura CARRANZA is a Full Professor at the University of Molise, Department of Biosciences and Territory. Her work focuses on ecology, remote sensing, and environmental conservation, particularly in Mediterranean coastal ecosystems. She leads the Envix Lab, emphasizing vegetation mapping, invasive species dynamics, and climate change impacts. Her research integrates multi-source remote sensing (e.g., Sentinel, UAVs) with field data to assess biodiversity, dune ecosystems, and human-environment interactions. Key projects include monitoring plant invasions (e.g., Acacia saligna), coastal resilience, and citizen science contributions to ecological data collection. Education background and formal qualifications are not explicitly detailed in the provided text. Her research spans over 15 years, with recent emphasis on Mediterranean dunes, urban biodiversity, and global change effects on alpine grasslands. She collaborates internationally, notably in Argentina (Gran Chaco forests) and Pakistan (yak herding dynamics). Research interests include functional traits of plant communities, spectral diversity metrics, and conservation strategies for threatened ecosystems. Her work highlights the role of protected areas in mitigating litter accumulation and preserving cultural services. She has contributed to policy frameworks like Natura 2000 and the EU’s Invasive Species Directive through applied research. Publications emphasize the synergy between remote sensing and field ecology, with over 30 peer-reviewed articles since 2016. Her work on Acacia saligna invasion models and dune eco-geomorphology via UAVs has advanced management practices. She also explores educational innovations, such as online course efficacy for field subjects like bird recognition.

Michael GaidoschikView profile

Professor

• Mathematics Education
• Arithmetic Instruction in Primary Education
• Developmental Research on Part-Whole Concept of Numbers
• +3 more

Michael Gaidoschik is a tenured full professor in Mathematics Education at the Faculty of Education, Free University of Bozen-Bolzano . He teaches courses on mathematics didactics for primary education (ages 5-12) and focuses on early arithmetic instruction, part-whole number concepts, and inclusive teaching methodologies. Office hours: Tuesday 13:00-14:00 Email: Michael.Gaidoschik@unibz.it His research addresses challenges in arithmetic instruction, particularly transitions from kindergarten to primary school , inclusive education strategies , and developmental approaches to number sense . He critiques traditional diagnostics like 'dyscalculia' and promotes didactic solutions for learning difficulties. Recent publication trends show emphasis on flexible decimal place value teaching , division conceptualization , metric system instruction , and interdisciplinary frameworks for mathematical learning barriers .