جست‌وجوی استاد و پژوهشگر

Salvatore Andolinaمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Artificial Intelligence
• Information Retrieval
• +۶ مورد دیگر

Salvatore Andolina is an Associate Professor at the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy. His research focuses on Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Retrieval, with a particular emphasis on designing human-centered AI systems for collaborative, social, and ubiquitous settings. He has held academic affiliations at the University of Palermo, Helsinki Institute for Information Technology HIIT, University of Helsinki, Aalto University, and served as a visiting scholar at Carnegie Mellon University's Human-Computer Interaction Institute. Key research areas include: Human-Centered AI Exploratory Search and Information Systems Crowdsourcing and Collaborative Creativity Augmented Reality and Wearable Technologies Entity-Centric Interaction Design Notable achievements include co-chair roles for the C&C conference (2025-2026), winning the Google Award for Inclusion Research (2023), and contributions to projects like the "Conversational Patterns for Inclusive Prompt Engineering" as a co-PI. He is an ACM Senior Member and has published extensively in top-tier venues including CHI, DIS, SIGIR, and TOIS. His work spans theoretical frameworks and applied systems, with recent focus on balancing sustainability in AI systems and advancing inclusive conversational interfaces.

• Environmental Engineering
• IoT Systems
• Cybersecurity
• +۳ مورد دیگر

Pietro Chiavassa is a Research Fellow at the Consiglio Nazionale delle Ricerche (CNR) Institute of Electronics, Information, and Telecommunication Engineering (IEIIT), collaborating as an external lecturer at Politecnico di Torino's Department of Automatic Control and Computer Engineering (DAUIN). His work bridges environmental engineering, cybersecurity, and quantum computing with a focus on IoT systems. He contributes to teaching modules in algorithms and object-oriented programming for aerospace and cinema engineering programs. Research interests include indoor environmental quality (IEQ) monitoring through low-cost sensor networks, pervasive computing security, and quantum computing applications for sensor calibration and network optimization. His projects involve developing traceable multi-sensor devices for urban air quality assessment and systems integrating acoustic comfort with occupant feedback in educational spaces. Key trends in his publications emphasize cross-disciplinary collaboration between CNR-IEIIT and Politecnico di Torino, focusing on practical implementations of advanced technologies in urban and indoor environments. His work addresses challenges in sensor data reliability, cybersecurity in embedded systems, and leveraging quantum computing for optimization problems in IoT. Current initiatives include the Q-SCALE project for quantum-enhanced sensor calibration and the PROMET&O system for holistic IEQ monitoring. He actively participates in international conferences on noise control, building physics, and environmental engineering, showcasing innovative solutions for sustainable urban infrastructure and smart environments.

• Advanced Materials Processing
• Directed Energy Deposition (DED)
• Electron Beam Powder Bed Fusion
• +۱۰ مورد دیگر

Abdollah Saboori is an Associate Professor at the Department of Management and Production Engineering (DIGEP) of Politecnico di Torino, with membership in the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. He holds a PhD in Materials Science and Technology summa cum laude from Politecnico di Torino, with a thesis on Metal Matrix Nanocomposites, and was a visiting PhD student at the University of Birmingham.

• Sustainable Cities and Communities (SDG 11)
• Urban Sustainability
• Multi-Criteria Decision Analysis (MCDA)
• +۴ مورد دیگر

Elena Todella is a Fixed-Term Assistant Professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino. Her work bridges architecture, urban planning, and sustainability, with a focus on decision-making frameworks and circular economy practices. Skills : Real Estate Appraisal, Project Evaluation, Sustainable Cities & Communities (SDG 11) Teaching : Courses on Problem Structuring Methods for Urban Uncertainty at the Collegio di Architettura e Design and Master’s/Bachelor’s programs in Architecture. Labs : Active in tdpLAB (DAD) for design and decision analysis research. Her research explores: Integrating Multi-Criteria Decision Analysis (MCDA) with Life Cycle Assessment for sustainable waste management. Adaptive reuse of Rationalist architecture and urban regeneration frameworks. Using serious games to train urban planners in sustainability-oriented decision-making. Co-designing indicators for equitable green transitions in cities like Turin. Recent publications highlight trends in urban sustainability metrics, circular economy applications, and participatory design tools. She contributes to journals like Italian Journal of Planning Practice and conferences on sustainable waste management.

Eugenio Zimeoمشاهده پروفایل

استاد

• Software Architectures
• Middleware for Distributed Systems
• Service-Oriented Computing
• +۱۷ مورد دیگر

Eugenio Zimeo is a Full Professor at the Department of Engineering, University of Sannio, Benevento, where he teaches Networked Systems Programming and Distributed Software Architectures and Systems . He holds a PhD in Computer Science and Electronic Engineering from the University of Naples and has been a central figure in distributed systems research and education. Department of Engineering, University of Sannio (Current) Member, CerICT (Regional ICT Center) Coordinator, CINI Laboratory on Smart Cities and Communities (University of Sannio node) National Coordinator, CINI Focus Group on eGovernment and eInclusion Director, Local Research Unit, University of Sannio (TEMOTEC, PRIN projects) General Chair, I-CiTies 2016 Conference His research interests span software architectures, middleware, cloud and grid computing, autonomic systems, smart cities, IoT, microservices, and service-oriented computing . He has contributed to frameworks for mobile agents, microservices synchronization, and resilient smart city platforms. Zimeo has authored approximately 100 scientific publications, including journal articles and conference papers, with recent work focusing on microservices, distributed tracing, and smart city resilience . His publications show a strong trend toward modern distributed systems, leveraging cloud, fog, and IoT paradigms for urban applications and software engineering innovation. He has received several best paper awards in recognition of his scholarly contributions. Co-organizer, Boosting Services and Information in Adaptive Networked Enterprises (2008) General Chair, I-CiTies 2016 Scientific Responsible, TEMOTEC, OpenGoals, MyOpenGov, PRIN GAUSS and IDEAS projects Reviewer, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and other leading journals Zimeo has supervised approximately 200 master's theses and served as tutor or co-tutor for 10 doctoral students . He has led significant research grants, including PRIN GAUSS (2017–present), IDEAS (2014–2017), TEMOTEC (2014–2016), and European project Qualipso (2010–2011), focusing on software quality and open-source platforms. He coordinates the University of Sannio’s node in the CINI National Laboratory on Smart Cities and Communities and leads the associated eGovernment and eInclusion focus group. His research unit develops platforms like PROMENADE for real-time IoT traffic monitoring in smart cities, integrating microservices and DevOps practices.

• Machine Learning
• Deep Learning
• AI Compilers
• +۷ مورد دیگر

Alessio Burrello is a Researcher at the Department of Control and Computer Engineering (DAUIN) , affiliated with Politecnico di Torino . His academic career is oriented toward Machine Learning , Deep Learning , and Embedded Systems . Research Interests : Burrello focuses on AI compilers , neural network optimization for edge devices, distributed systems , and signal processing applications . His work spans interdisciplinary domains like energy management for IoT , neuromorphic computing , and biomedical monitoring . Recent Publications highlight his contributions to TinyML , low-power microcontrollers , and heterogeneous computing . Notable works include optimizing DNN inference on multi-accelerator SoCs and deploying compact transformers for seizure detection. Teaching : Burrello has been a course owner for 'Optimized Execution of Neural Networks at the Edge' in the Computer and Systems Engineering program since 2024/25. He also contributes to courses in Agritech Engineering and Aerospace Engineering . Supervision : He supervises Javier Jesus Poveda Rodrigo , a PhD candidate in Artificial Intelligence , and participates in commercial research projects like Efficient Active Inference Deployment .

• Semantic Web
• Knowledge Representation and Reasoning
• Artificial Intelligence
• +۵ مورد دیگر

Floriano Scioscia is an Associate Professor at the Polytechnic University of Bari, Italy, specializing in Information Processing Systems (SSD ING-INF/05). His research bridges Semantic Web technologies, Knowledge Representation, and Artificial Intelligence to develop innovative solutions for Internet of Things, Blockchain, and smart city infrastructures. His primary research domains include Semantic Web, Knowledge Representation and Reasoning, Internet of Things, Blockchain, Edge Computing, and Artificial Intelligence. He applies these to solve critical problems in smart mobility (e.g., blockchain-enhanced ridesharing), last-mile logistics optimization, energy infrastructure management, and healthcare decision support. His work consistently focuses on creating lightweight, scalable frameworks like Tiny-ME for resource-constrained environments and semantic-enhanced platforms for real-world system integration. Analysis of his 2023-2025 publications reveals a dominant trend toward edge-centric semantic technologies. Key themes include OWL reasoning on constrained devices (Tiny-ME Wasm), blockchain integration for transparent service platforms (RideMATCHain), and AI-driven optimization for logistics/smart cities. His work demonstrates exceptional cross-domain applicability, with consistent emphasis on explainability, scalability, and practical implementation in transportation, energy, and healthcare infrastructure. The publications show strong synergy between theoretical knowledge representation advances and deployable system architectures.

• Internet of Things (IoT)
• Quantum Computing
• Wireless Sensor Networks (WSN)
• +۴ مورد دیگر

Filippo Gandino is an Associate Professor at Politecnico di Torino, affiliated with the Department of Automatic Control and Computer Science (DAUIN) and the Interdepartmental Centre PIC4SeR for Service Robotics. He is a member of the College of Biomedical Engineering and the College of Computer, Cinema and Mechatronics Engineering. His research focuses on Internet of Things (IoT), Quantum Computing, and Wireless Sensor Networks (WSN), with a particular emphasis on pervasive computing and healthcare applications. He has been recognized with the Best Paper Award from the 6th International Conference of Broadband and Wireless Computing, Communication and Applications (BWCCA-2011). Professor Gandino teaches courses in Algorithms and Object-Oriented Programming, Computer Science, and Electronic Calculators across multiple engineering programs, including Aerospace, Cinema, and Computer Engineering. His academic contributions include supervising PhD student Pietro Chiavassa, whose thesis addresses security and reliability in pervasive computing. His work spans interdisciplinary projects, such as IoT-based environmental monitoring systems and quantum computing optimization algorithms. His research explores cutting-edge areas like secure intermittent computing, particulate matter measurement techniques, and quantum PCI planning. He actively contributes to IEEE conferences and journals, focusing on sensor networks, cybersecurity, and distributed systems. His lab, CAD - Electronic CAD & Reliability Group (DAUIN), drives innovations in electronic design and reliability engineering.

Michele Melchioriمشاهده پروفایل

دانشیار

• Information Systems
• Semantic Web Technologies
• Blockchain Integration
• +۷ مورد دیگر

Michele Melchiori is an associate professor at the Università degli Studi di Brescia (Italy) since 1998, specializing in systems for information processing. He holds a PhD in Information Engineering from the University of Brescia and a Master's in Computer Science from the University of Milan. His research focuses on information systems design, semantic-based services, blockchain integration, and smart city technologies. Notable contributions include frameworks for smart contract design, blockchain applications in agri-food supply chains, and IoT-driven solutions for construction quality assurance. His work bridges theoretical advancements with practical implementations, spanning projects funded by collaborative initiatives. Key areas include personalized data exploration using semantic web technologies, trust management in decentralized systems, and healthcare applications like food recommendation systems. He has authored over 80 publications, emphasizing interdisciplinary approaches to data management challenges. Melchiori frequently contributes to academic events such as the Italian Symposium on Advanced Database Systems. His research bridges technical innovations (e.g., blockchain) with societal needs (e.g., smart city infrastructure and post-pandemic healthcare models).

Anisa Rulaمشاهده پروفایل

استادیار

• Data Management
• Knowledge Graphs
• Data Quality Assessment
• +۴ مورد دیگر

Anisa Rula is an Assistant Professor in Computer Science at the Department of Information Engineering, University of Brescia since 2021. Previously, she was a researcher at the University of Bonn's SDA group (2017–2019). She holds a PhD in Computer Science from the University of Milano-Bicocca (2014). Her research focuses on data management and exploration, particularly in data quality assessment for Information Systems and Knowledge Graphs. Key interests include semantic data enrichment, large datasets, and knowledge extraction. Education: PhD in Computer Science, University of Milano-Bicocca (2014) Prior academic and research roles at University of Bonn (2017–2019) Research Interests: Data Quality Assessment for Knowledge Graphs and Information Systems Large-Scale Dataset Management & Exploration Procedural Knowledge Extraction from Text Ontology-Driven Semantic Enrichment Human-in-the-Loop Data Annotation Systems Publications reflect her expertise in Knowledge Graph lifecycle management, quality assessment tools like KGHeartBeat, and LLM applications for schema mining and data discovery. Her work emphasizes practical implementations such as MantisTable for semantic table interpretation and K-hub ontology for industrial knowledge extraction. Awards: None explicitly mentioned in text. Advising & Grants: No student advisees listed. Active in developing open-source tools and collaborative frameworks for data quality and semantic web applications. Labs/Teams: Involved in Knowledge Graph validation and quality initiatives, including contributions to the EU Business Graph platform and cross-institutional workshops on Linked Data Quality.

Paolo Guenziمشاهده پروفایل

دانشیار

• Sales Force Performance
• Digital Transformation of Sales Organizations
• Sales Leadership
• +۳ مورد دیگر

Paolo Guenzi is an Associate Professor at Università Bocconi, affiliated with the Department of Marketing and the Knowledge Group Marketing&Sales at SDA Bocconi School of Management. He holds a Marketing degree from Università Bocconi (1994) and has been a faculty member there since graduation. His teaching focuses on Sales Management and Personal Selling, emphasizing practical applications for executives. His research explores organizational drivers of sales force performance, leadership impact on sales teams, and digital transformation in sales organizations. His 2021 book Managing the Digital Transformation of Sales Organizations synthesizes five years of research in the Commercial Excellence Lab, analyzing surveys, interviews, and case studies across industries. Key themes include digital tools' role in sales, leadership strategies, and organizational adaptation. His publications span journals like Journal of Personal Selling & Sales Management and California Management Review , addressing topics from social media use by salespeople to price negotiation tactics. Guenzi’s work bridges theory and practice, with a focus on real-world applications. He advises on strategic account management and has collaborated with firms like UniCredit on brand sponsorship strategies. His research emphasizes data-driven approaches to service innovation and sales capabilities, contributing to both academic and managerial discourse.

Silvia Rossiمشاهده پروفایل

دانشیار

• Multi-agent Systems
• Human-Robot Interaction
• Cognitive Architectures
• +۵ مورد دیگر

Silvia Rossi is an Associate Professor at the Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Italy. She co-manages the PRISCA Lab focused on Intelligent Robotics and Advanced Cognitive Systems and coordinates the national project UPA4SAR (User-centered Profiling and Adaptation for Socially Assistive Robotics). Her research emphasizes Multi-agent Systems, Human-Robot Interaction, and Cognitive Architectures. She holds an M.Sc. in Physics from the University of Naples Federico II (2001) and a Ph.D. in Information and Communication Technologies from the University of Trento (2006). Professional experience includes roles at the ITC-irst (Italy), Institute of Cybernetics E. Caianiello (CNR, Italy), and visiting research at Oregon Health and Science University (USA). Research interests span socially assistive robotics, user profiling, and emotion recognition. Key contributions include adaptive robot behaviors for healthcare and education, transparent HRI, and multi-agent systems for smart environments. She teaches courses such as Multi-agent Systems, Distributed Intelligence, and Programming I. Her work integrates AI, robotics, and human-centered design to address challenges in assistive technologies and human-robot collaboration. Publications focus on socially assistive robotics, emotion-aware systems, and transparent AI. Projects include field trials of social robots for elderly care and pediatric emotional support. Awards and recognitions are not explicitly listed but reflect her leadership in socially impactful robotics research.

Federico Bergentiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Software Engineering
• Multi-agent Systems
• +۴ مورد دیگر

Federico Bergenti is an Associate Professor in Computer Science at the University of Parma, affiliated with the Department of Industrial Systems and Technologies Engineering (DISTI) and the Department of Mathematics, Physics, and Computer Science. He serves as Chair of the AI Lab since 2015 and is actively involved in teaching Artificial Intelligence, Software Engineering, and related courses across multiple degree programs. His educational background includes a Laurea degree (M.Sc.) in Electronic Engineering from the University of Parma (1998) and a Ph.D. in Information Technologies from the same institution (2002). Prior to his academic career, he worked at CSELT S.p.A. (1998-1999) and CNIT (2000-2006). Bergenti's research primarily focuses on Artificial Intelligence and Software Engineering, with special emphasis on multi-agent systems. His work spans agent communication languages, architectures for agent-based middleware, reusability in agent systems, and more recently, agent programming languages based on constraint logic programming. He is among the founders of the JADE initiative and remains active in the Agent-Oriented Software Engineering research community. Analysis of his recent publications reveals a consistent research trajectory centered on agent-oriented programming (particularly JADEScript), indoor positioning systems, neural-symbolic integration, and mathematical modeling of multi-agent dynamics using kinetic theory approaches. His work demonstrates strong interdisciplinary connections between computer science, mathematics, and engineering applications. Professionally, Bergenti has coordinated various scientific initiatives, served on the Senior Program Committee of the AAMAS international conference since 2006, hosted the IEEE WETICE conference in Parma in 2014, and served as Program Chair for WETICE 2016. He has participated in numerous European Commission-funded research projects under the 5th and 6th Framework Programmes. He leads the AI Lab at the University of Parma, where his team develops practical applications of agent-based systems, including indoor localization technologies, health assistance systems, and social network modeling. His research combines theoretical foundations with real-world implementations, particularly through the JADE multi-agent framework.

• Computer Science
• Programming Languages
• Blockchain Technology
• +۳ مورد دیگر

Alvise SPANO' is a Researcher at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He is also part of the Research Institute for Complexity. His academic focus includes Blockchain Programming Languages, Programming Languages, and Information Systems. Research projects include ALGOMOVE for Algorand and the RINmaker bioinformatics tool. He has taught courses like Object-Oriented Programming and Introduction to Programming at both undergraduate and doctoral levels. Research interests span smart contract analysis, type systems, and cybersecurity in distributed systems. He contributed to projects like secure RPL for mobile networks and Android-LEGO interoperability. Funding includes the CEVID 2016 project (Role: LD), collaboratively managed with researchers like Agostino Cortesi and Salvatore Orlando. His work bridges theoretical foundations (e.g., COBOL code typing) with practical applications in wearable systems and bioinformatics. Collaborations include the Blockchain Programming Languages research group with Lorenzo Benetollo and Sabina Rossi.

• Computer vision and pattern recognition
• Digital image processing
• Medical image processing
• +۴ مورد دیگر

Santa Di Cataldo is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di Torino. His research focuses on computer vision, pattern recognition, digital image processing, and medical image processing, with applications in industrial systems and AI for manufacturing. Scientific Branch: IINF-05/A - Information Processing Systems ERC Sectors: PE6_8 - Computer graphics, computer vision, multi media, computer games ERC Sectors: PE6_11 - Machine learning, statistical data processing His work includes developing AI-driven anomaly detection frameworks, physics-informed neural networks for additive manufacturing optimization, and neuro-symbolic approaches for Industry 4.0 applications. He supervises PhD students in Artificial Intelligence and Computer Engineering programs, collaborating on projects like BIG (Blue Is Green) and PNRR-Complementary Plan. Premio Donna Innovazione (2010) He leads courses such as Machine Learning in Applications and Applied AI and Machine Learning , while contributing to bioinformatics and robotics-related teaching. His research is supported by IAM@PoliTo and EDA groups, utilizing LADISPE laboratory facilities.