جستجوی استاد راهنمای دانشگاهی

• Urban Planning
• Real Estate Market Analysis
• Built Heritage Conservation
• +۱۰ مورد دیگر

Rocco Antonio Curto is a researcher in the Department of Architecture and Design at the Polytechnic of Turin, Italy. His work bridges urban planning, real estate economics, and heritage conservation, with a strong emphasis on sustainability and decision support methodologies. He is actively involved in interdisciplinary research, particularly on the UNESCO site of Ivrea and urban dynamics in Turin. His research interests include urban planning, real estate market analysis, built heritage conservation, sustainable urban development, multicriteria decision aid (MCDA), problem-based learning in architecture education, GIS applications, cultural tourism, and fiscal inequality in housing markets. His work often integrates technical modeling with stakeholder engagement to address complex urban challenges. The trends in his recent publications show a consistent focus on applying analytical tools—such as GIS, MCDA, and spatial data analysis—to real-world urban issues, especially in the context of UNESCO heritage sites, short-term rentals, urban vibrancy, and equity in property taxation. His research is highly collaborative, frequently co-authored with scholars like Diana Rolando, Cristina Coscia, and Maria Franca Norese. Curto has contributed to impactful journals such as Annals of Operations Research , Sustainability , Current Issues in Tourism , and The Interdisciplinary Journal of Problem-Based Learning , reflecting the interdisciplinary nature of his work. Active researcher at the Polytechnic of Turin Focus on Ivrea UNESCO site and Turin urban dynamics Expertise in decision-aid tools and knowledge management Emphasis on education innovation through problem-based learning He has supervised or collaborated on educational projects involving students and stakeholders in real-world urban enhancement initiatives. His work supports knowledge exchange between academia and public administration, particularly in guiding sustainable development policies. He has no listed scientific awards in the provided texts. He is involved in research teams working on heritage valorization, urban sustainability, and decision support systems, particularly in the context of the Ivrea UNESCO site.

Flavio SARTORETTOمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Science
• Medical Signal Processing
• +۴ مورد دیگر

Flavio SARTORETTO is an Associate Professor in Scientific Computing at Ca' Foscari University of Venice. He holds a Mathematics degree from the University of Padua and has held academic positions at University of Padua (1982-1992) and Sapienza University of Rome (1992-1993) before joining Ca' Foscari in 1993. His research focuses on numerical analysis, computational methods, and interdisciplinary applications including environmental modeling, cognitive processes, and assistive technologies. Key research areas include numerical solutions of PDEs, meshless methods, EEG signal analysis, and e-learning tools for impaired individuals. He has participated in major research projects such as EC Network (1992-1995), PRIN initiatives (1997-2010), and contributed to software development for geomechanical models and air quality systems. His work spans computational fluid dynamics, robotics applications, and cognitive studies. Recent publications highlight advancements in mesh refinement strategies, robotic assistive devices, and spatial cognition research. He has reviewed for prestigious journals and served in academic committees for state examinations and international conferences. He maintains active involvement in academic service, including roles in evaluation committees and contributions to professional societies like SIAM and CICAP.

Claudio SILVESTRIمشاهده پروفایل

دانشیار

• Data Mining
• Privacy in Location-Based Services
• Spatio-Temporal Data Analysis
• +۳ مورد دیگر

Claudio SILVESTRI is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He specializes in Computer Science (INFO-01/A), with a focus on data mining, privacy in location-based services, and spatio-temporal data analysis. His research integrates computer science with environmental and biomedical applications. Teaching Responsibilities include courses on Advanced Data Management (Computer Science) and Geographic Information Systems (Environmental Sciences) at the Master's level across multiple academic years. Research Interests span: Algorithms for privacy protection in location-based services Spatio-Temporal Data Warehouses and trajectory analysis Parallel computing on GPU and cloud platforms Applications in fisheries monitoring and diabetic kidney disease modeling Funding Projects include EU initiatives like H2020 (e.g., DC-ren for kidney disease research) and regional grants (e.g., ADMIN4D on Industry 4.0). Key collaborations involve researchers like Salvatore ORLANDO and Debora SLANZI. He is affiliated with the European Center for Living Technology (ECLT) and the Research Institute for Social Innovation. Office hours are held Wednesdays 2-4 PM by email appointment.

• Electrical Engineering
• Electromagnetic Analysis
• Power Systems
• +۴ مورد دیگر

Maurizio Repetto is a Full Professor at Polytechnic University of Turin's Department of Energy (DENERG), with affiliations in the Power Electronics Innovation Center (PEIC) and the Master's and Continuing Education School. His research focuses on electromagnetic analysis, power systems, and renewable energy integration, particularly in energy communities. Research interests span: Electromagnetic field simulation and analysis Optimization methods for energy systems Renewable energy integration and storage Smart grid technologies Sustainable community energy models Recent publications demonstrate strong focus on photovoltaic energy communities, electric vehicle infrastructure, and data-driven modeling of electromechanical systems, reflecting interdisciplinary work combining electrical engineering with optimization algorithms and policy analysis. Awards: ACES Journal Best Paper Award (2008) Research Leadership: Principal investigator for multiple competitive grants including: AGRITECH Spoke 6 (2022-2025, PNRR) E2DRIVER - EU H2020 (2019-2022) Smart Storage for Energy Communities (2014-2015) Leads the CADEMA research group and mentors PhD students in electrical engineering and photovoltaics. Developed patents in energy harvesting technologies including magnetic transmission systems and motion-based generation.

Adriano Manciniمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Prof. Adriano Mancini is an Associate Professor at the Department of Information Engineering, University of Marche Polytechnic (UNIVPM), Italy. His research focuses on AI-driven solutions in computer vision, remote sensing, and IoT applications. He leads projects in precision agriculture, environmental monitoring, and smart retail systems, leveraging deep learning and edge computing technologies. Current work includes neural rendering for fashion design, vegetation recovery assessment via drones, and AI-based predictive maintenance for infrastructure. His research integrates interdisciplinary approaches across computer science, engineering, and environmental sciences. Notable projects involve UAV-based vegetation mapping, wastewater sensor forecasting, and ethical frameworks for AI in remote sensing. He collaborates on EU-funded initiatives like 4IPLAY for infrastructure inspection and WATERBALANCE for water resource management. Prof. Mancini's lab develops real-world applications such as automated mussel farming monitoring, retail robot navigation, and blockchain-integrated quality assurance systems. He advises on AI ethics and standards for maritime sustainability and low-carbon operations. His work bridges academic innovation with industrial needs through collaborations with industries like plastics manufacturing and smart retail environments.

• Artificial Intelligence
• Applied Artificial Intelligence
• Machine Learning
• +۱۲ مورد دیگر

Alessandro Aliberti is a fixed-term assistant professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino. He is actively engaged in teaching and research with a focus on artificial intelligence and sustainable urban systems. He serves as an invited member of the College of Management and Production Engineering and the Planning and Design College. His research interests include applied artificial intelligence, machine learning, battery simulation, building energy simulation, co-simulation, cyber-physical systems, and forecasting. These areas are applied to critical challenges in sustainable cities, clean energy, and climate action, aligning with UN SDGs 7, 11, and 13. His recent publications (2024–2025) demonstrate a strong trend in applying machine learning to energy systems, urban modeling, and cybersecurity. Key themes include deep learning for urban building analysis, solar irradiation estimation, EV battery health monitoring, and power grid forecasting for renewable integration. Scientific Awards and Recognitions: RIMINI SCHOOL 2025 “SUCCESSFULLY PARTICIPATE IN CALLS FOR RESEARCH FUNDING” – Politecnico di Torino (13-05-2025) Effective communication with businesses – Politecnico di Torino (12-05-2025) He has taught courses such as IoT platforms for spatial analytics in smart energy systems at the PhD level and contributed as a course collaborator in Introduction to ICT and Computer Science across multiple engineering programs. While no formal advisees are listed, his teaching roles span assistant, main teacher, and collaborator across academic years 2021–2026. There is no mention of specific grants or lab affiliations in the provided text.

• Animal cognition
• Neurobiology
• Cerebral asymmetry
• +۶ مورد دیگر

Elisa Frasnelli is an Associate Professor at the University of Trento, Italy, affiliated with the Center for Mind/Brain Sciences (CIMeC). Her research focuses on animal cognition, cerebral asymmetry, and neuroethology across species including honeybees, bumblebees, octopuses, and domestic animals. She holds editorial roles at journals like Animal Behaviour and Learning & Behavior , and serves as Secretary of the Association for the Study of Animal Behaviour (ASAB). Education: PhD in Cognitive and Brain Sciences, University of Trento (2010) MSc in Physics and Biomedical Technologies, University of Trento (2007) BSc in Applied Physics, University of Trento (2004) Research Interests: Lateralization in invertebrates and vertebrates Spatial navigation and visual-motor control in insects Neuromodulation of pain perception in bumblebees Impact of environmental stress on pollinator health Awards: JSPS Fellowship (2017) ASAB Above & Beyond Award (2016) PRIN 2022 Grant (€230k) for LADISEX Project Grants & Collaborations: PI of MicroBeeH Project (CARITRO, 2024) Coordinator of IBC Project on pollinators and climate change Teaching: Leads courses on Invertebrate Neurosciences and Mathematical Foundations for Cognitive Science at the University of Trento.

• Cognitive Neuroscience
• Neuropsychology
• Neurorehabilitation
• +۴ مورد دیگر

Selene Schintu is a Researcher (RTD-A) at the Interdepartmental Center for Mind/Brain Sciences (CIMEC) , University of Trento, Italy. She holds a Ph.D. in Cognitive Neuroscience (2014, Lyon) and has held academic roles including Part-time Faculty at George Washington University (2019–2022) and postdoctoral positions at NIH and CIMEC. Her research focuses on visuospatial attention , brain asymmetry , and neurorehabilitation , employing techniques such as TMS, EEG, and fMRI. Ph.D. in Cognitive Neuroscience (2011–2014), Lyon Neuroscience Research Center, France MS in Science of Mind (2006–2008), University of Turin BS in Neuropsychological Sciences and Techniques (2003–2006), University of Turin Her work explores how interhemispheric balance influences cognitive processes, particularly through prism adaptation and neuromodulation . Recent studies (2020–2022) examine functional connectivity changes via TMS and behavioral outcomes in attentional networks. She has secured significant grants, including a €102,000 PRIN grant as Local PI (2023–2025) and a $250,000 NRSA award (2018–2020). Her publications and conferences (2014–2022) highlight the role of parietal cortex in spatial cognition and learning. She has mentored numerous graduate and master’s students at institutions including NIH, George Washington University, and University of Trento. Outstanding Poster Awards (2017–2021, NIH) SIPF Award for Best Scientific Contribution (2012) Travel Awards (2016, 2009) Schintu serves on editorial boards (Frontiers in Human Neuroscience, Frontiers in Psychology) and scientific committees (University of Messina, University of Lyon). Her outreach includes promoting cognitive science to high school students and public workshops in Trento, Italy.

• Cognitive Neuroscience
• Spatial Cognition
• Conceptual Processing
• +۶ مورد دیگر

Roberto Bottini is a Full Professor at the Department of Psychology and Cognitive Science, University of Trento. His research spans cognitive neuroscience, focusing on conceptual processing, memory, spatial cognition, and the neural mechanisms of blindness. PhD in Anthropology and Epistemology of Complexity, University of Bergamo Postdoctoral positions: Max Planck Institute for Psycholinguistics, New School for Social Research, University of Milano Bicocca, CIMeC Trento His work explores how spatial navigation systems are repurposed for conceptual organization, using fMRI, MEG, and behavioral methods. Key projects include studying grid-cell coding in abstract thought and plasticity in blind individuals. Recent publications highlight neural entrainment in reading, altered spatial coding in blindness, and eye movement patterns in conceptual search. His research has been funded by prestigious grants including ERC Starting and Consolidator awards. 2024: BIAL Foundation Grant 2023: ERC Consolidator Grant 2018: ERC Starting Grant Institutional roles include Delegate for Neuroimaging Facilities (2024–Present) and leadership in academic committees at CIMeC.

Daniele Ietriمشاهده پروفایل

استاد

• Local Development
• Urban Competitiveness
• Territorial Policy Design
• +۳ مورد دیگر

Daniele Ietri is a full professor of geography at the Free University of Bolzano , focusing on local development, urban competitiveness, and territorial policy design. He co-founded the La Fournaise Association (2013) and leads the deep_map_lab and Studies on Here research projects, which combine geography with documentary filmmaking and deep mapping methodologies. Current Roles : Professor at Free University of Bolzano, Director of 'Regions' research programme (89Initiative), External Expert at NUVAL, Scientific Committee member at CesUE Education : Not explicitly stated in provided text His research trends, derived from 15 recent articles, span geography, urban studies, and documentary production , emphasizing non-metropolitan areas, artistic-academic collaboration , and policy innovation . Key subfields include spatial interaction analysis, crisis mapping, and participatory methodologies . Scientific Awards : Best Culture & Nature Film at 14th EHO Mountain Film Festival (2023) for co-producing 'Montanario' Projects and Collaborations : PRIN 2022 PNRR funding under NextGenerationEU, Global Urban Competitiveness Project membership, and multiple short residencies in Italy's internal territories (Porto Tolle, Oppido Lucano, Serrara Fontana).

Leonardo Impettمشاهده پروفایل

استادیار

• Digital Humanities
• Computational Humanities
• Computer Vision
• +۶ مورد دیگر

Leonardo Impett serves as Assistant Professor in Digital Humanities at the University of Cambridge's Faculty of English and Bye-Fellow in Digital Humanities at Selwyn College, Cambridge. He also leads a research group at the Bibliotheca Hertziana. Previously, he was Assistant Professor of Computer Science at Durham University and Digital Humanities Scientist at the Bibliotheca Hertziana - Max Planck Institute for Art History in Rome. His research uniquely bridges artificial intelligence and art history, focusing specifically on bias and visual ideology in AI systems from an art historical perspective. With a background in information engineering and machine learning, he combines technical expertise with deep humanities knowledge to develop novel approaches for analyzing visual culture through computational methods. His recent publications reveal a strong trend toward interdisciplinary work connecting computer vision with art historical analysis, particularly examining how AI systems interpret and potentially bias visual cultural heritage. His research spans technical AI development, art historical analysis, and critical examination of digital methodologies in cultural institutions. Digital Humanities Fellow at Villa I Tatti – Harvard University Center for Italian Renaissance Studies (2018) Scientific Assistant/Scientist at Bibliotheca Hertziana (2018-2020) PhD in Computer Vision for Art History at EPFL Impett actively collaborates with major cultural institutions including the Liverpool Biennial, Royal Opera House, and Whitney Museum of American Art, applying machine learning to practical challenges in arts and culture. His work demonstrates how technical AI research can be meaningfully integrated with humanities scholarship to produce insights valuable to both domains.

Manuela Chessaمشاهده پروفایل

دانشیار

• Virtual Reality
• Augmented Reality
• Extended Reality
• +۶ مورد دیگر

Manuela Chessa is an Associate Professor in Computer Science at DIBRIS (Department of Informatics, Bioengineering, Robotics, and Systems Engineering) within the Interschool Section of Mathematical, Physical, and Natural Sciences at the University of Genoa. Her research focuses on natural human-machine interfaces using virtual, augmented, and extended reality (XR) systems, with an emphasis on perceptual and cognitive aspects of immersive interaction. MSc in Bioengineering (2005) and PhD in Bioengineering (2009) from University of Genoa Her work integrates bioinspired models with modern XR technologies to address misperception issues, visual stress, and fatigue in immersive environments. She investigates the use of sensing (Kinect, RealSense, ZED) and visualization devices (HMDs, 3D monitors) to create ecological interaction systems grounded in human perception principles. Current research themes include: XR for rehabilitation and training User Experience (UX) in immersive systems 3D reconstruction techniques Self-avatar representation Change detection in virtual environments Her publications span topics like gamified coding in XR, cognitive aspects of interaction, and bioinspired VR design. She leads the Perception & Interaction Lab @ DIBRIS, supervising 4 PhD students and 1 research associate.

• Bayesian inference
• Biostatistics
• Clinical trials
• +۷ مورد دیگر

Mauro Gasparini is a Full Professor at the Department of Mathematical Sciences (DISMA) of Polytechnic University of Turin. He serves as Director of DISMA since 2019, Member of Academic Senate, and co-leader in the SmartData@PoliTO Big Data Laboratory. His career spans academia and industry, including roles at Purdue University (Assistant Professor 1992-1996) and Novartis (Senior Statistician 1996-1998). He has been Editor of Biometrical Journal (2012-2015) and maintains referee activities across international journals. PhD from University of Michigan (1992, Dirichlet process applications) Academic leadership: Department Director, Editorial boards, ISTAT Advisor Research spans Bayesian methodology with biomedical applications Maintains collaborations with Novartis, Chiesi, and research centers His research interests focus on Bayesian inference , Biostatistics , and Clinical trials methodology, particularly addressing issues in pharmaceutical development, genomic data analysis, and medical decision-making. Recent work includes vaccine efficacy modeling, optimal imaging timing for cancer diagnostics, and adaptive trial designs. Key publication trends show interdisciplinary applications in Statistics in Medicine , Biometrics , and Statistical Methods in Medical Research , with emphasis on biomedical data science, Bayesian adaptive methods, and clinical decision support systems. Scientific contributions include: Editor, Biometrical Journal (2012-2015) Advisor, Italian National Institute of Statistics (2020-2024) Leadership in multiple research projects (NODES, SORGENTE, IDEAS) As PhD advisor, he supervises students in: Shaoshi Tang (Clinical trial modeling) Saeed Sani (Biomedical data analysis) Marco Ratta (Genomic statistics) Luca Rondano (Bayesian methods) Vittorio Zampinetti (Tumor DNA sequencing) Fulvio Di Stefano (Evidence-based decision statistical methods) He leads research projects in pharmaceutical statistics, genomic surveillance, and spatial risk assessment frameworks, with recent emphasis on SARS-CoV-2 analysis and cancer progression modeling.

Enrico Tronciمشاهده پروفایل

استاد

• Model Checking
• Cyber-Physical Systems
• Software Engineering
• +۷ مورد دیگر

Enrico Tronci is a Full Professor in the Department of Computer Science at Università degli Studi di Roma La Sapienza , Italy. His research focuses on model checking, formal verification, and synthesis of cyber-physical systems, with applications to mission-critical and safety-critical domains such as space systems, smart grids, and healthcare. He leads the Model Checking Lab (MCLab) and has coordinated numerous national and international research projects funded by organizations including the European Community (EC), European Space Agency (ESA), and Italian Ministry of University and Research (MUR). Research Highlights : Automatic control software synthesis from closed-loop specifications Model checking algorithms for hybrid and stochastic systems Technology transfer in sectors like energy, transportation, and aerospace Teaching : Undergraduate: Software Engineering (Fall 2024) Graduate: Automatic Verification of Intelligent Systems (Fall 2024), Verification and Validation of Intelligent Systems (Spring 2025) Scientific Awards : Recipient of the IBM-Italia 1987 prize for best thesis in Artificial Intelligence Publications Trends : 2024: Scaling up model checking for cyber-physical systems via HPC 2023: Hormonal impact on behavior and fault-tolerant sensor deployments 2021-2022: In silico clinical trials, smart grid management, and scenario enumeration 2020: AI-guided diabetes patient modeling and forensic psychiatry applications Software Tools : QKS (Quantized Kontrol Synthesizer) NashMV (MAD systems verification) CMurphi (Hybrid systems model checker) FHP-Murphi (Probabilistic verification) BSP (Boolean symbolic programming)

Matteo Giulianiمشاهده پروفایل

دانشیار

• Water Resources Management
• Multi-Objective Optimization
• Reinforcement Learning
• +۷ مورد دیگر

Matteo Giuliani is an Associate Professor at Politecnico di Milano, leading research in the Environmental Intelligence for Global Change Lab. His work focuses on integrating artificial intelligence with water resource management under global change scenarios. PhD in Information Technology (2014, Politecnico di Milano) Alta Scuola Politecnica Diploma (2011) MSc in Environmental and Land Planning Engineering (2010, Politecnico di Milano & Torino) His research bridges machine learning and water systems engineering through applications in: Climate change adaptation design Multi-agent negotiation for resource allocation Extreme event detection and attribution Decision-making under deep uncertainty Recent publications show expertise in reinforcement learning for reservoir operations, autoencoder applications to heat wave analysis, and AI-driven climate data downscaling . He serves as Section Editor for the Journal of Water Resources Planning and Management and Associate Editor for Frontiers in Water .