جستجوی استاد راهنمای دانشگاهی

Franco ZAMBONELLI is a Full Professor in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia. He holds positions in both the Reggio Emilia and Modena campuses, offering courses such as Software Engineering and Distributed Artificial Intelligence. His research focuses on IoT, pervasive computing, multiagent systems, and self-organization in distributed systems, with applications in smart cities, healthcare, and mobility. He leads projects like FLUIDWARE (PRIN 2017) and CONNECARE (H2020), exploring adaptive IoT systems and integrated healthcare solutions. ZAMBONELLI is an IEEE Fellow, ACM Distinguished Scientist, and member of the Academia Europaea. His work bridges theory and practice, emphasizing software engineering methodologies for IoT and agent-based systems. Education: Not explicitly detailed in provided texts. Research Grants: FLUIDWARE (2019-2022), CONNECARE (2016-2019). His research interests include causal discovery in pervasive environments, reinforcement learning for cybersecurity, and digital twin technologies. He contributes to editorial boards of journals like ACM Transactions on Autonomous and Adaptive Systems and IEEE Technology and Society Magazine. His teaching spans software engineering, distributed AI, and IoT-oriented methodologies. The Agents and Pervasive Computing Lab (agentgroup.unimore.it) is a focal point for his experimental work. Professional memberships include IEEE, ACM, and the Italian Association for Artificial Intelligence. Recent achievements include successful final reviews for CONNECARE and advancements in fluidware programming paradigms.

• Pervasive Computing
• IoT (Internet of Things)
• Multiagent Systems
• +۷ مورد دیگر

Nicola Gatti is an Associate Professor in Computer Science and Artificial Intelligence at the Department of Electronics, Information and Bioengineering, Politecnico di Milano. He serves as Co-director of the Observatory Artificial Intelligence of Politecnico di Milano and holds board positions at the Italian National Laboratory of Artificial Intelligence and Intelligent Systems (CINI AIIS) and the Italian Association for Artificial Intelligence (AIxIA). His research spans the intersection of Computer Science, Microeconomics, Optimization, and Machine Learning, with specific focus on Algorithmic Game Theory, Mechanism Design, and Online Learning. He has made significant contributions to areas including negotiation, security games, equilibrium computation, sponsored search auctions, online advertising, election manipulation, and regret minimization in economic problems. Gatti's recent publications demonstrate strong trends in applying game-theoretic and learning approaches to practical problems in advertising, contract design, and constrained decision making. His work frequently appears in top AI venues including AAAI, AAMAS, NeurIPS, and ICML, reflecting his standing as one of the most prolific AI researchers in Italy. He has received notable recognition including being awarded as the best Italian young researcher on Artificial Intelligence in 2011 by AIxIA. His research is supported through competitive projects like PRIN2017 Algadimar and industrial collaborations with companies including lastminute.com, DoveVivo, MMM group, AdsHotel, Analisi e Valore, and the Italian Navy. In addition to his research, Gatti is actively involved in education, teaching courses on Systems Informatics, Economic and Computation, Data Intelligence Application, and specialized industry courses on Online Machine Learning and Algorithmic Game Theory for companies including lastminute.com, Niuma, and Ferrari GES Scuderia F1. Since 2018, he has chaired the Honours Programme in Scientific Research in Information Technology at Politecnico di Milano.

• Algorithmic Game Theory
• Mechanism Design
• Artificial Intelligence
• +۳ مورد دیگر

Pier Luca Lanzi is a Full Professor at Politecnico di Milano, affiliated with the Department of Electronics, Information, and Bioengineering (DEIB). He leads the Artificial Intelligence and Robotics Lab (AIRLab), focusing on interdisciplinary research at the intersection of AI, robotics, and human-centric technologies. His work emphasizes applications in gaming, healthcare, and education, leveraging machine learning, evolutionary algorithms, and virtual reality. Education: Not explicitly stated in the provided texts. Affiliations: Director of the AIRLab; core member of DEIB. His research interests span artificial intelligence, multiagent systems, procedural content generation for games, serious games for rehabilitation, and AI-driven medical imaging. He explores how AI can enhance learning experiences (e.g., VR classrooms for physics and history) and improve therapeutic outcomes through interactive frameworks like the IGER system for stroke rehabilitation. Notable contributions include frameworks for automated level design in games (e.g., DOOM level generation via GANs), AI-assisted diagnostic imaging systems, and exergaming solutions for juvenile arthritis patients. His work often bridges computational intelligence with real-world applications, emphasizing human-centered design. Advising & Grants: While no specific grant details are provided, his prolific publication record suggests sustained research activity. Students and collaborators include prominent names in AI and robotics, though formal advisee名单 are not listed here. Labs/Teams: Directs the AIRLab, which develops cutting-edge technologies in AI, robotics, and human-technology interaction. Collaborates with industry and academic partners on projects ranging from VR educational tools to medical exergames.

• Artificial Intelligence
• Machine Learning
• Multiagent Systems
• +۷ مورد دیگر

Biagio Lenzitti is a Researcher at the Department of Mathematics and Computer Science , University of Palermo, School of Basic and Applied Sciences. He has taught courses like Programming and Laboratory , Computer Networks , and Educational Planning of Information Systems since at least 2015. Current Office Hours: Monday 9:00-11:00, Studio 201 Contact: biagio.lenzitti@unipa.it | +3909123891101 His research focuses on medical text simplification , patient empowerment , and interactive educational tools , including the development of systems like: MED-VTD: Multilingual Medical Dictionary SimpleHealth Platform: Medical Text Simplification Tools U-MedSearch: Meta Search Engine for Medical Content ETN-FETCH Project: Future Education in Computing Recent publications address AI-driven health information systems , IoT data sharing , and conversational agents for medical education. Key collaborations include the Anghelos Communication Studies Center and European networks like ETN-FETCH . He has supervised theses on topics spanning semantic web applications , open data , and network security since at least 2005.

• Medical Informatics
• E-learning
• Semantic Web
• +۵ مورد دیگر

Mariagrazia Dotoli is a Full Professor in Systems and Control Engineering at the Polytechnic University of Bari, Department of Electrical and Information Engineering, where she has been serving since 1999. She previously held the position of Vice Rector for Research (2011-2013) and served as a member elect of the Academic Senate (2012-2015). Currently, she coordinates the interuniversity PhD course in Industry 4.0 between the Polytechnic University of Bari and the University of Bari Aldo Moro. Her research interests span across multiple domains of systems engineering, with particular focus on discrete event industrial systems, Petri nets, manufacturing systems, supply chains, logistics and transportation systems, traffic networks, and energy systems. Her work bridges theoretical control systems with practical industrial applications, especially in the context of Industry 4.0 and smart manufacturing. Her extensive publication record demonstrates consistent contributions to automation science and engineering, with recent work focusing on warehouse optimization, collaborative robotics, supply chain management, and smart energy systems. Her research shows a clear trend toward integrating classical control theory with modern computational approaches, including machine learning and optimization algorithms for industrial applications. Prof. Dotoli maintains significant editorial responsibilities as Senior Editor of the IEEE Transactions on Automation Science and Engineering and Associate Editor for multiple IEEE journals. She has organized and chaired numerous international conferences including CASE2024, MED2021, and CODIT2020, demonstrating leadership in the automation community. Her academic career shows continuous progression from Assistant Professor (1999) to Full Professor, with additional leadership roles in university administration and international professional organizations. She remains actively engaged in both theoretical research and practical industrial applications of control systems engineering.

• Systems Engineering
• Control Engineering
• Discrete Event Systems
• +۷ مورد دیگر

Andrea Gasparri is a Full Professor at the Department of Civil, Computer Science, and Aeronautical Technologies Engineering, Roma Tre University, Rome, Italy. His research spans robotics, sensor networks, networked multi-agent systems, and precision agriculture. Coordinated Robotics and Networked Multiagent Systems Laboratory. Active in H2020 projects like CANOPIES and PANTHEON, focusing on precision farming. Recipient of the Young Author Award (Agricontrol Conference 2019) and ICRA2017 Best Paper Finalist. Research Interests: Robotics and autonomous systems Distributed control and estimation Multi-agent coordination in precision agriculture Swarm intelligence Networked cyber-physical systems Federated learning for agricultural robots Recent Publications show expertise in finite-time consensus, distributed optimization, and precision agriculture applications, with a focus on robustness and scalability in multi-robot systems. Scientific Awards: Young Author Award, Agricontrol Conference 2019 Best Multi-Robot Systems Paper Finalist, ICRA2017 He has contributed to projects involving UAV path planning, robotic spraying systems, and demand-side management in agricultural cyber-physical systems.

• Robotics
• Sensor Networks
• Networked Multi-Agent Systems
• +۴ مورد دیگر

Marco Colombetti is a Full Professor at the Department of Electronics, Information and Bioengineering (DEIB) of Politecnico di Milano. His research focuses on artificial intelligence, multi-agent systems, and normative systems, with a particular emphasis on semantic web technologies and agent communication protocols. He has contributed to frameworks for norm enforcement, ontological reasoning, and institutional modeling in open multiagent systems. Research interests include the integration of deontic logic with computational systems, cognitive aspects of normativity in human interaction, and the application of formal methods to security and access control policies. His work bridges theoretical foundations (e.g., deontic logic, social commitment) with practical implementations in domains like autonomous systems and rehabilitation teams. Key projects include the ANEMONE network for academic communities and studies on joint commitments in human intersubjectivity. His publications analyze the role of communication in institutional reality, dialogue as a cognitive process, and the semantic web’s role in policy frameworks.

• Artificial Intelligence
• Multi-Agent Systems
• Semantic Web Technologies
• +۳ مورد دیگر

Mauro Bonafini is a Temporary Assistant Professor at the Department of Engineering for Innovation Medicine, University of Verona. His research focuses on geometric variational problems, optimal transport theory, and hyperbolic partial differential equations. Current academic rank: Assistant Professor (Mathematical Analysis) University: University of Verona Research groups: Analysis of PDE and Calculus of Variations His research projects include: Geometric Measure Theoretical approaches to Optimal Networks (since 2018) Geometric evolution of curves, surfaces and networks (since 2017) Stochastic Partial Differential Equations and Stochastic Optimal Control with Applications to Mathematical Finance (since 2016) Teaching activities: Mathematical analysis (6 credits, 2025/2026) Optimization (6 credits, 2025/2026) Mathematical Analysis II (12 credits, 2024/2025) Previous courses in Mathematical Analysis I and II across multiple academic years Email: mauro.bonafini@univr.it

• Mathematical Analysis
• Optimal Control Theory
• Calculus of Variations
• +۴ مورد دیگر

Lorenzo Ceragioli is an Assistant Professor (RTD-A) in Computer Science at IMT Lucca within the SySMA research unit. Previously, he was a postdoctoral researcher at the University of Pisa's Department of Computer Science, where he also earned his PhD in Computer Science. His work focuses on quantum systems modeling, formal verification methods for security protocols, and access control systems. University Affiliation: IMT Lucca Research Unit: SySMA Research interests include: Quantum process verification through bisimulation techniques Analysis of SELinux security policies Logical modeling of multi-agent systems Recent work has explored firewall policy translatability and information flow control in SELinux configurations. His tools like SELinuxIFCIL and F2F address policy verification and firewall system compatibility challenges. Key contributions include: Developed IFCIL extension for SELinux policy verification Created F2F tool for firewall policy expressiveness analysis Advanced quantum process bisimulation theories

• Quantum Systems Modeling
• Formal Methods for Computer Security
• Access Control
• +۳ مورد دیگر