جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Internet of Things
• +۱۳ مورد دیگر

Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing

Giancarlo Manziمشاهده پروفایل

دانشیار

• Machine Learning
• Multivariate Statistics
• Bayesian Statistics
• +۵ مورد دیگر

Giancarlo Manzi is an Associate Professor of Statistics at the Department of Methods and Models for Economics, Territory, and Finance, University of Rome La Sapienza. He holds a PhD from the University of Milan-Bicocca and conducted thesis research at the University of Toronto. His career includes roles at the Medical Research Council Biostatistics Unit in Cambridge and the University of Milan. University of Rome La Sapienza (Current) Medical Research Council Biostatistics Unit (Former Researcher) University of Milan (Former Researcher and Associate Professor) University of Milan-Bicocca (PhD) University of Toronto (Thesis collaboration) His research spans Machine Learning , Bayesian Statistics , and Smart Mobility , with a focus on Covid-19 analytics , data visualization , and epidemiological modeling . He integrates Multivariate Statistics with Public Health to address complex challenges in health systems and urban environments. The 15 most recent publications highlight expertise in quantile regression , Bayesian networks , time-series analysis , and smart mobility optimization . His methodological contributions include wavelet analysis, cross-correlation models, and SIRD modeling frameworks applied to pandemic dynamics and bike-sharing systems. Scientific awards and honors are not explicitly mentioned in the provided texts. Giancarlo Manzi has taught at the University of Verona, Catholic University of the Sacred Heart, and Universidad Carlos III in Madrid, maintaining strong ties with Italy's academic institutions.

• Geomatics
• Spatial Data Science
• Geographic Information Systems (GIS)
• +۱۰ مورد دیگر

Andrea Ajmar is an Associate Professor at the Politecnico di Torino, affiliated with the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST). He serves as the contact person for the University Language Centre (CLA) and leads research in geomatics, spatial data science, and emergency management. His work is aligned with UN SDG 11: Sustainable Cities and Communities, and he contributes to major EU-funded projects such as LEXIS (H2020). Scientific Disciplinary Sector: CEAR-04/A - Geomatics (Area 0008 - Civil Engineering and Architecture) Research Laboratory: SDG11Lab (DIST) ERC Sectors: PE10_14, SH2_10, PE10_4, SH2_9 Andrea Ajmar's research focuses on applying Spatial Data Science techniques to transportation, urban planning, and disaster response. His work leverages GIS, remote sensing, and spatial data infrastructures to analyze urban resilience, environmental change, and emergency workflows. He has published extensively on topics including climate adaptation in cities, glacier monitoring, flood modeling, and post-disaster assessment tools. The recent publications of Andrea Ajmar demonstrate a strong trend in integrating high-performance computing, AI, and big data with geospatial technologies for urban and environmental applications. His work spans climate resilience, disaster impact modeling, and satellite-based environmental monitoring, reflecting a multidisciplinary approach to sustainable development. Scientific Awards and Recognitions: BEST POSTER PAPER AWARD, ISPRS (2008) Teaching and Advising: Andrea Ajmar is actively involved in teaching and mentoring. He supervises multiple PhD students in the Urban and Regional Development and Architectural and Landscape Heritage programs. He teaches advanced courses such as "Advanced Geospatial Data Management" and "Geomatics for Urban and Regional Planning." He has also earned teaching certifications including Learning to Teach (L2T), Mentoring Polito Project (M2P), and Learning to Teach with Innovative Teaching Project (L2T_ITP). Research Projects: He served as the Scientific Manager for the EU H2020 LEXIS project, focusing on HPC and Big Data enabled large-scale test-beds and applications in disaster management and urban planning. Professional Service: Ajmar has held leadership roles in international organizations, including Vice-President of the International Working Group on Satellite Emergency Mapping (2013–2014), Secretary of ISPRS ICWG IV/VIII (2008–2012), and member of the ASITA Scientific Committee (2008–2012). He also served as Guest Editor for the journal Remote Sensing (2019–2021) and participated in conference program committees such as GISTAM 2019 and 2020.

• Japanese Literature
• Japanese Language
• Japanese Cultural Studies
• +۵ مورد دیگر

Stefano Romagnoli serves as an Associate Professor of Japanese Language and Literature at Sapienza University of Rome, specifically within the Italian Institute of Oriental Studies (ISO). His academic appointment falls under the ASIA-01/G classification (formerly L-OR/22), and he maintains regular office hours at the Marco Polo Building, Room 320 in Rome. Professor Romagnoli teaches Japanese Language and Translation III and Japanese Literature A courses during the 2024-25 academic year, with classes scheduled on Thursdays and Tuesdays across multiple classrooms. Professor Romagnoli's research spans multiple dimensions of Japanese literary and cultural studies, with particular emphasis on post-war Japanese literature, Japanese theater traditions including Kabuki and Kōdan, colonial history, and gender studies within Japanese contexts. His scholarly work reveals a consistent interest in examining how Japanese writers have engaged with historical trauma, national identity, and cross-cultural encounters. The examination of women writers' perspectives on war and colonialism forms a significant thread throughout his publications, as does his analysis of political dissent and proletarian literature in Japanese contexts. Analysis of his recent publications shows a strong trajectory toward interdisciplinary scholarship that bridges literary analysis with historical, political, and cultural studies. His work frequently explores the representation of historical events through Japanese literary lenses, particularly focusing on post-war reconstruction, colonial experiences, and the complex relationship between Japan and other nations including the Soviet Union. Professor Romagnoli also demonstrates significant commitment to Japanese language pedagogy, as evidenced by his publications on lexical development and language teaching methodologies. Professor Romagnoli maintains an active teaching schedule with numerous examinations administered throughout the academic year, as documented in the extensive lists of student results across multiple examination periods. His administrative responsibilities include overseeing student selection for overseas programs to Japan, as indicated by the merit rankings for various calls (bando) for overseas opportunities. While specific laboratory or research team information isn't detailed in the available materials, Professor Romagnoli appears to collaborate with other faculty members such as Ichinose sensei (mentioned regarding grammar instruction), suggesting participation in a broader Japanese language and literature teaching team within the Institute of Oriental Studies.

• Applied artificial intelligence
• Artificial intelligence
• Deep learning
• +۶ مورد دیگر

Flavio Giobergia is a Researcher at the Department of Control and Computer Science (DAUIN) within Politecnico di Torino . His work spans applied artificial intelligence , with a focus on deep learning and machine learning applications. Research Interests : Machine learning under limited label availability, LLM-assisted code refactoring, subgroup performance analysis in ASR models, exoplanet atmospheric reconstruction, and predictive maintenance systems. Teaching : Course owner for Data Science and Machine Learning Lab and Large Language Models at Politecnico di Torino. Projects : Scientific head for the MAD – STANDARD BANKING project (2025–2026) and ImEDA (2023–2024), focusing on anomaly detection and model efficiency. Publications : 15+ recent works on topics including machine unlearning benchmarks, synthetic data for hallucination detection, and drift detection limitations, presented at top conferences like KDD, Interspeech, and IEEE AICT. Collaborations : Active in the SmartData@PoliTO center and co-author with Elena Baralis, Alkis Koudounas, and others.

• Data Science
• Pervasive Computing
• Cloud Computing
• +۷ مورد دیگر

Marco MAMEI is a Full Professor at the Department of Engineering Sciences and Methods (DISMI) of the University of Modena and Reggio Emilia. His research focuses on digital twins, pervasive computing, and smart city technologies. He leads projects like NOUS (European cloud services) and MODENA AUTOMOTIVE SMART AREA, emphasizing Industry 5.0 and human-centric manufacturing. MAMEI teaches courses on Data Science, Pervasive Computing, and Cloud Services in Management and Engineering programs. His work bridges IoT, edge computing, and AI to solve challenges in energy systems, urban mobility, and disaster management. Roles: Full Professor, DISMI Director Affiliations: NOUS Project Lead, MODENA AUTOMOTIVE SMART AREA Research spans: IoT/Edge/Cloud Continuum Digital Twin Entanglement Metrics (ODTE) AI-Driven Telecom Security Smart Grid Optimization Publications (2025): 8+ papers on digital twin applications, accessibility theory, energy forecasting, and pandemic modeling. Recent work emphasizes fluid computing architectures and federated learning in decentralized systems. Teaching includes: Data Science & Management Pervasive Computing Programming Fundamentals Student reception: Mondays 14-17.

• Digital Signal Processing
• Image Processing
• Multimedia Communications
• +۳ مورد دیگر

Marco Carli is a Full Professor at the Department of Industrial, Electronic, and Mechanical Engineering, Roma Tre University, Italy. He holds a Laurea in Telecommunication Engineering from Università degli Studi di Roma 'La Sapienza' and a Ph.D. from Tampere University of Technology. His research focuses on digital signal and image processing applied to multimedia communications, including digital watermarking, multimedia quality evaluation, and information security. He has led projects such as EHEM (medieval architecture modeling), ISEEYOO (AI-based anomaly detection), and INSECTT (secure IoT-AI systems). Carli serves as an Associate Editor for IEEE Transactions on Image Processing and Area Editor for Signal Processing: Image Communication. He is an IEEE Senior Member. His work spans over 55 journal publications and numerous conferences, addressing topics like immersive VR applications, cybersecurity, and perceptual quality metrics. Education: Laurea in Telecommunication Engineering, Università di Roma 'La Sapienza', 1990s Ph.D. in Telecommunication Engineering, Tampere University of Technology, Finland Projects: EHEM: Digital modeling of medieval architecture and art ISEEYOO: Anomaly detection in Cyber-Physical Systems INSECTT: Secure IoT systems with AI Research Interests: Signal/image processing for multimedia Quality evaluation and watermarking Cybersecurity and IoT applications Awards: None explicitly listed Grants/Advising: Multiple EU-funded projects (e.g., ImmerSAFE, RESISTO, ATENA) and collaborations with industry partners like Thales Alenia Space.

Marco Cucculelliمشاهده پروفایل

استاد

• Applied Economics
• Innovation Management
• Environmental Economics
• +۵ مورد دیگر

Prof. Marco Cucculelli is a Full Professor at the Department of Economics and Social Sciences, part of the Faculty of Economics 'Giorgio Fuà' at the Polytechnic University of Marche in Ancona, Italy. His work focuses on applied economics with emphasis on innovation management, environmental economics, digital transformation, and regional development. He holds office hours every Wednesday 17:00-19:00 at the Faculty of Economics. Research interests include eco-innovation metrics, corporate governance of family firms, transnational entrepreneurship, and the impact of digital technologies on business models. His recent work explores renewable energy trade dynamics, AI applications in finance, and regional competitiveness strategies. Publications span over 50+ articles in peer-reviewed journals and conference proceedings, with a focus on empirical analyses using patent data, bibliometrics, and policy evaluation. He actively contributes to research projects analyzing SME innovation, ESG factors in regional enterprises, and Industry 4.0 adoption strategies.

Gianvito Pioمشاهده پروفایل

دانشیار

• Data Mining
• Bioinformatics
• Social Network Analysis
• +۳ مورد دیگر

Gianvito Pio is an Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. His research spans data mining, bioinformatics, social network analysis, multi-relational data mining, and big data analytics. He holds a PhD in Computer Science from the University of Bari (2015) and has taught courses such as Big Data Management and Analysis and Security in Blockchain Technology . As an expert in heterogeneous network analysis, he develops methods for anomaly detection in cryptocurrency trends, microbiome data interpretation, and legal judgment clustering. He leads the local research unit of the PRIN 2022 project COCOWEARS and contributes to journals like the Machine Learning Journal and Expert Systems with Applications as an associate editor. His recent work includes multi-view learning for risk identification in dynamic networks, spatially-aware models for energy forecasting, and biclustering algorithms for biological data. Collaborations with researchers such as Michelangelo Ceci and Antonio Pellicani highlight his interdisciplinary approach. Gianvito Pio also organizes academic events like the Discovery Science conference and contributes to open-source software tools including HOCCLUS2 and GENERE .

• Human-Computer Interaction
• Usability Engineering
• User Experience
• +۷ مورد دیگر

Rosa Lanzilotti is a Full Professor in the Department of Computer Science at the University of Bari Aldo Moro, Italy, where she has established herself as a leading researcher in Human-Computer Interaction (HCI) and Usability Engineering. As a core member of the IVU (Interaction Visualization Usability and UX) Laboratory, she coordinates research on Usability Engineering and UX practices, and Human-Centered Artificial Intelligence. With over 90 publications in top-tier journals and conferences, her work bridges academic research with practical applications in industry and public institutions. Dr. Lanzilotti earned her PhD in Computer Science from the University of Bari in May 2006. Her doctoral research developed the ELSE (e-Learning Systematic Evaluation) methodology, which combines inspection and usability testing to achieve more reliable results for evaluating e-learning systems. She also pioneered Pattern-Based inspection techniques that guide evaluators through detailed evaluation patterns. Her research spans multiple domains including educational technology, cultural heritage, healthcare, and smart environments. She has designed and evaluated numerous educational games for mobile devices and large multi-touch displays, resulting in a patent (n. 1401512, 2013) for a multimedia framework supporting site visits. Her work in End-User Development (EUD) explores how non-technical users can customize systems in healthcare and cultural heritage contexts through participatory design with domain experts. Recent publications (2019-2024) show increasing focus on integrating AI with human-centered design, privacy considerations in UX, and cybersecurity applications of HCI principles, particularly for public administration systems. As an active member of the Italian Working Group on Usability (GLU), she works to improve public administration websites and advocate for explicit usability requirements in ICT procurement. Her conference service includes Technical Program Co-Chair for INTERACT 2021 and various leadership roles in AVI, IEEE SMC, and womENcourage conferences. She teaches courses including 'Interacting with Intelligent Systems' (Master's level), 'Human-Computer Interaction for AI' (PhD level), and various undergraduate courses on Human-Machine Interaction at the University of Bari.

Gino Dardanelliمشاهده پروفایل

دانشیار

• Geomatics
• GNSS Systems
• Geodetic Data Analysis
• +۴ مورد دیگر

Gino Dardanelli is an Associate Professor in Geomatics at the Department of Engineering, University of Palermo, where he graduated in Civil Engineering and Transport in 2000 and earned his PhD in Geodetic and Topographic Sciences in 2006. His research focuses on advanced geospatial technologies including GNSS networks, laser scanning, satellite imagery analysis, and structural monitoring. Education: PhD in Geodetic and Topographic Sciences, University of Naples Parthenope, 2006 Degree in Civil Engineering and Transport, University of Palermo, 2000 Research Interests: Dardanelli's research addresses the integration of geomatic technologies for environmental and structural analysis. Key areas include multi-GNSS system integration, WebGIS development, laser scanning applications in cultural heritage documentation, high-resolution satellite image processing, and cadastral mapping innovations. Publication Focus: Recent publications demonstrate strong emphasis on coastal monitoring techniques using isoradiometric methods, cultural heritage documentation through 3D modeling, and geodetic network development. The research consistently integrates field measurements with computational analysis for environmental and infrastructural applications. Teaching: Regularly instructs courses including Topography (Civil Engineering), Topography/Cartography (Agricultural Engineering), and Applied Topography Laboratory (Environmental Engineering). Student Supervision: Advises graduate theses on topics including GNSS applications, geological monitoring, and surveying techniques.

• Computer Music
• Optical Networks
• Optimization
• +۹ مورد دیگر

Cristina Emma Margherita Rottondi is an Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . She is a member of the Photonext Interdepartmental Center and contributes to research in telecommunications, computer music, and network optimization. Her work spans privacy-preserving protocols, smart grid communication, and low-latency audio streaming. Research Interests : Networked Music Performance, Optical Networks, Smart Grid Privacy, Machine Learning. Education : Not explicitly listed. Research Areas include: Smart Grid Privacy : Developing secure protocols for data aggregation and distributed energy optimization. Optical Network Design : Investigating machine learning-driven solutions and spatial division multiplexing. Networked Music Performance : Addressing latency and inclusivity in remote musical collaboration. Publication Trends highlight interdisciplinary work at the intersection of telecommunications , machine learning , and music technology . Recent articles focus on privacy-preserving smart grids , 5G-enabled musical IoT , and UDP packet trace datasets . Scientific Awards : 2020 Charles Kao Award Best Paper Awards at IEEE Online Greencomm (2014), DRCN (2017), and others N2Women Rising Star (2020) Advising includes PhD candidates working on networked music performance , accessible musical education , and medical wearable devices . She has contributed to national patents for inclusive audio hardware.

Simone Marsiمشاهده پروفایل

پژوهشگر ارشد

• Contemporary Italian Literature
• Literary Canon Formation
• Literary Tradition and Pedagogy
• +۷ مورد دیگر

Simone Marsi is a Research Fellow at University of Parma and Adjunct Professor of Contemporary Italian Culture at University of Urbino . Their work bridges literary historiography, contemporary Italian literature, and didactic innovation. PhD in Philological-Literary, Historical-Philosophical and Artistic Sciences from University of Parma Research explores contemporary Italian literature (with focus on authors like Rebora, Satta, Gadda), literary canon formation processes during Italy's unification, and literature-science-environment intersections . Recent publications examine spatial representation in visual-literary works, Dante's modern pedagogical adaptations, and fascist traces in educational materials. Current articles (2024-2022) reveal a trajectory through literary historiography , geocritical analysis , and ecocritical frameworks . Key trends include textbook evolution , gender studies in canon debates, and digital humanities approaches to memory.

• Remote Sensing
• Machine Learning
• Image Processing
• +۴ مورد دیگر

Martina Pastorino is a Researcher in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa. Her work focuses on integrating machine learning with probabilistic graphical models for advanced remote sensing image analysis , particularly in multiresolution classification using satellite and UAV data. She teaches courses on Machine Learning for Pattern Recognition and Remote Sensing in master’s programs related to Internet and Multimedia Engineering and Energy Engineering . Research Interests : Remote Sensing, Machine Learning, Image Segmentation, Data Fusion, Hyperspectral Imaging, UAV Applications. Key Techniques : CNN-MRF Hybrids, CRFNet, Probabilistic Graphical Modeling, Multiresolution Analysis. Her recent publications explore applications in wildfire mapping , urban land-use analysis , and hyperspectral-panchromatic fusion , with a focus on improving semantic segmentation accuracy through hybrid deep learning frameworks. She is available for office hours on request via email at martina.pastorino@unige.it .

Lucia Seminaraمشاهده پروفایل

دانشیار

• Tactile Sensing
• Electronic Skin
• Haptic Robotics
• +۵ مورد دیگر

Lucia Seminara serves as an Associate Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa's Polytechnic School. She teaches Electronic Devices, Sensors, and Sensing Systems for Master's programs in Electronic Engineering and Engineering for Natural Risk Management, while also contributing to Philosophy of Medicine for Philosophical Methodologies. As a member of the Joint Teacher-Student Commission, she bridges academic governance with pedagogical innovation in engineering education. Her research pioneers tactile sensing systems using piezoelectric polymers (PVDF) and electronic skin for robotics and prosthetics. She investigates indentation mechanics on soft electronic skin, grasping speed sensitivity, and hierarchical sensorimotor control frameworks for human-in-the-loop robotic hands. Key innovations include machine learning-based contact force estimation and electrotactile feedback systems that restore natural touch perception in prosthetic devices, addressing critical gaps in sensory substitution technology. Analysis of her 2021-2025 publications reveals escalating integration of machine learning with tactile sensing, particularly in symmetry detection for efficient haptic exploration and transdisciplinary human-in-the-loop applications. Recent work emphasizes real-world implementations like post-stroke rehabilitation systems and high-bandwidth human-machine interfaces, demonstrating a strategic shift from foundational sensor development toward clinically viable solutions with measurable user impact. Dr. Seminara's research lineage includes significant contributions to the Roboskin project (2013), which established large-area tactile sensor arrays for robotics. Her current work extends this foundation through investigations into viscoelastic properties, stress transmission modeling, and AI-driven tactile perception, positioning her at the forefront of intelligent electronic skin development with active collaborations across engineering, neuroscience, and clinical rehabilitation domains.