جستجوی استاد راهنمای دانشگاهی

• Cybersecurity
• Cryptography
• Network Security
• +۵ مورد دیگر

Clemente Galdi is an Associate Professor at the Department of Political and Social Studies (DISPS) of the University of Salerno, with research expertise in cybersecurity, cryptography, and social network dynamics. His work bridges technical security mechanisms with socio-political implications of digital systems. Research Focus: Developing secure frameworks for enterprise systems Advancing cryptographic protocols for network security Analyzing security dynamics in heterogeneous social networks Protecting medical devices from cyber threats Optimizing steganographic and authentication mechanisms Recent Article Trends: His publications emphasize cryptographic security (Merkle trees, searchable encryption), ransomware mitigation, firmware update protocols, and social network robustness. Laboratory Involvement: Actively contributes to the Computer Science Lab at the University of Salerno, guiding lessons and exam simulations.

Alessandro D'Innocenzoمشاهده پروفایل

مدرس

• Control Systems
• Communication Networks
• Wireless Sensor Networks
• +۳ مورد دیگر

Alessandro D'Innocenzo is a Lecturer at the Department of Information Engineering, Computer Science and Mathematics at the University of L'Aquila. He has been actively involved in teaching courses such as 'Modelling and control of communication networks' and 'Control Systems' since 2009, contributing to both undergraduate and graduate education. His academic role also includes co-lecturing PhD courses like 'Modeling, analysis and design of wireless sensor and actuator networks' in collaboration with Prof. Carlo Fischione (KTH). His research focuses extensively on control systems, wireless communication networks, and stochastic systems. Key areas include optimal control over Markovian channels, model predictive control (MPC) for power electronics, and data-driven modeling using regression trees and neural networks. He explores interdisciplinary topics such as energy retrofit of buildings and cybersecurity in cyber-physical systems, demonstrating a strong commitment to both theoretical and applied research. Alessandro has published extensively on networked control systems, Markov jump systems, and machine learning applications in control. His work emphasizes the co-design of control and communication protocols, stability analysis under uncertainty, and real-time implementations using FPGA and embedded systems. Notable contributions include frameworks for secure state estimation over wireless channels and efficient MPC solutions for cascaded inverters. Despite his prolific publication record, there are no awards explicitly mentioned in the provided texts. His teaching and research have been consistently active across multiple academic years, reflecting a dedicated academic career in systems and control engineering.

• Power Electronics
• Electric Drives
• Motor Control
• +۳ مورد دیگر

Fabio Immovilli is an Associate Professor at the University of Modena and Reggio Emilia , affiliated with the Department of Engineering Sciences and Methods . His research focuses on power electronics, motor drives, and condition monitoring, with expertise in current source inverters, fault detection, and energy conversion systems. He teaches advanced courses on electric drives, power converters, and static energy conversion. Research Interests: Immovilli’s work spans power electronics architectures for industrial drives, fault diagnosis using machine learning, and innovative solutions for high-efficiency motor systems. His recent studies include partial discharge monitoring in industrial machinery, resonance damping in current source inverters, and scalable data acquisition systems for condition monitoring. Teaching: He instructs graduate-level courses such as Advanced Electric Drives and Power Converters Systems , Static Energy Conversion , and Inverters and Electric Machines for Industry . These courses emphasize practical applications of control systems, power electronics, and motor design. Key Contributions: Immovilli has developed novel modular data acquisition systems for partial discharge detection and scalable digital solutions for industrial condition monitoring. His work on current source inverters explores efficiency improvements and low-speed operation extensions. He also collaborates on projects involving electric propulsion systems for naval applications and fault-tolerant multi-phase drives.

Sabrina Senatorمشاهده پروفایل

استاد

• Computational Intelligence
• Fuzzy Logic Systems
• Machine Learning
• +۷ مورد دیگر

Sabrina Senator is a Full Professor at the University of Salerno, based in the Department of Information and Electrical Engineering and Applied Mathematics (DIEM). She is stationed at the Fisciano Campus in Room 035 of Building F, Fourth Floor. Her office hours are Monday 11:00–13:00 and Friday 15:00–17:00, with appointments outside these hours available upon request. Research Interests: Her work focuses on computational intelligence, fuzzy logic systems, and their applications across diverse domains. Key areas include knowledge engineering, machine learning, IoT-driven environmental monitoring, emotion-based classification from social media streams, and semantic sensor networks for quality control. She also explores interdisciplinary topics such as disaster risk assessment, agricultural systems modeling, and medical informatics, leveraging fuzzy clustering and formal concept analysis techniques. Dr. Senator has contributed to numerous conferences and journals, including the ICDSMLA series (e.g., 2022 and 2021 editions). Her research projects involve multi-agent systems, semantic web services, and agent-based modeling for precision agriculture and UAV applications. She maintains active participation in laboratory activities (as indicated by the 'Laboratori' section), though specific lab details are not provided. No academic awards or formal student advisees are listed in the available information.

• Information Retrieval
• Explainable AI
• Data Mining
• +۳ مورد دیگر

Claudio Lucchese is a Professor at the Department of Environmental Sciences, Informatics and Statistics (DAIS) at Ca’ Foscari University of Venice. He holds key administrative roles, including Head of Studies for the BSc in Hospitality Innovation and e-Tourism (2021–present) and Deputy Head of DAIS for Research (2018–2023). His research focuses on Information Retrieval, Explainable AI, and Data Mining, with over 100 peer-reviewed publications. Notable achievements include the Best Paper Award at SIGIR 2015 and the Best Student Paper at DocEng 2016. He actively participates in European and Italian national research projects and leads the Data Mining and Information Retrieval Lab. Research Interests: His work bridges theoretical advancements and practical applications in information retrieval systems, fairness in AI, and scalable machine learning models. Recent efforts emphasize verifiable models against adversarial attacks and explainability frameworks for biomedical applications. Publications: His most recent works address fair ranking algorithms (e.g., LambdaFair), secure tree ensembles, and efficient search systems. Articles span conferences like SIGIR, ECIR, and CIKM, focusing on learning-to-rank, neural models, and algorithmic efficiency. Awards: Besides his SIGIR and DocEng awards, he has contributed to projects like Treant for evasion-aware decision trees and RankEval, an evaluation framework for ranking models. His work on adversarial robustness and scalable tree traversal (QuickScorer) has been impactful in both academia and industry. Grants: Coordinates national and international projects, including contributions to EU frameworks and Italian initiatives. His lab collaborates on topics ranging from social media analysis to privacy-preserving AI.

• Software Engineering
• Software Architecture
• Autonomous Systems
• +۴ مورد دیگر

Patrizio Pelliccione is a Full Professor in Computer Science and Software Engineering at Gran Sasso Science Institute (GSSI) and an Associate Professor at Chalmers | University of Gothenburg. He holds a PhD in Computer Science from the University of L'Aquila. His research focuses on Software Architecture and Autonomous Systems, with applications in automotive and robotics domains. He has extensive international experience, including roles as Associate Professor at University of L'Aquila and Visiting Professor at Charles University. His research interests include software architecture design, autonomous systems, robotics, and automotive systems engineering. He actively collaborates with industry partners globally and has contributed to over 100 peer-reviewed publications across journals and conferences. Pelliccione chairs the Computer Science area at GSSI and leads research initiatives in value-based software ecosystems, continuous compliance, and architecture-driven development. He serves on program committees for major conferences like ICSE and ICSA, and has authored/co-authored books on software architecture and fault-tolerant systems. His work emphasizes practical industry applications, with contributions to automotive systems engineering frameworks, robotic mission specification languages, and safety-critical software development. Current projects explore AI integration in safety-critical domains like space systems and medical devices.

• 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 .

• Solvency II
• Insurance Contract Valuation
• Monte Carlo Simulation
• +۷ مورد دیگر

Anna Maria Gambaro is an Associate Professor at the Department of Economics and Business Studies of Università degli Studi del Piemonte Orientale "Amedeo Avogadro". Her research focuses on actuarial science, financial engineering, and stochastic modeling with applications to insurance regulation (Solvency II), healthcare operations, and commodity markets. She has contributed to developing methodologies for risk margin calculation, capacity expansion under uncertainty, and Monte Carlo simulation techniques. Her recent projects include measuring climate-transition risks (funded by MUR) and studying insurance capital requirements (collaboration with Prof. Fusai). She has published extensively in journals like European Actuarial Journal, Production and Operations Management, and The Journal of Derivatives. Expertise: Solvency II compliance, stochastic optimization, Monte Carlo methods, pandemic planning Notable Works: ICU capacity expansion under uncertainty (2023), Risk margin capital-on-capital cost (2025), Pricing on Trees using new risk-free rates (2024) Awards: No specific prizes mentioned, but her work aligns with UN Sustainable Development Goals related to resilient infrastructure and financial inclusion. Grants/Projects: Led or co-led 2 major research projects (2023-2025) totaling €1.2M in funding. Her work on climate-transition risk integrates supply chain and risk management frameworks.

Alfredo De Santisمشاهده پروفایل

استاد

• Data Security
• Cryptography
• Digital Forensics
• +۴ مورد دیگر

Alfredo De Santis is a Professor and Director of the Dipartimento di Informatica at the Università degli Studi di Salerno. His research focuses on Data Security, Cryptography, Digital Forensics, and Communication Networks. He has authored numerous publications in top-tier journals and conferences, contributing to advancements in secret sharing schemes, cryptographic protocols, and privacy-preserving systems. His work bridges theoretical foundations with practical applications, including secure mobile communications, data compression, and IoT security. Key research interests include secure protocols, algorithm design, and the application of information theory to cybersecurity challenges. He has developed innovative solutions for entity authentication, distributed systems security, and privacy threats in mobile devices. His contributions span academic leadership, curriculum development in Data Security courses, and collaboration on projects like "Blockchain in Healthcare" and "Anti-Forensics Techniques". Publications highlight his expertise in hierarchical key management, secure data streaming, and cryptographic schemes. Recent works address fake news propagation modeling, privacy attacks exploiting smartphone sensors, and secure cloud storage solutions. His research emphasizes both theoretical rigor and real-world applicability across domains like healthcare, IoT, and digital forensics.

Salvatore ORLANDOمشاهده پروفایل

استاد

• Computer Science
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Salvatore Orlando is a Full Professor and Director of the Department of Environmental Sciences, Computer Science and Statistics at Ca' Foscari University of Venice. He holds academic roles including membership in the University Scientific Instrumentation Service Center (CSA) Management Committee and the Academic Senate. His research focuses on machine learning, information retrieval, and data mining, with notable contributions to learning-to-rank algorithms, decision tree ensembles, and adversarial machine learning. Key areas include efficient algorithms for large-scale systems, model interpretability, and fairness in AI. Orlando’s work bridges theoretical advancements with practical applications in database technology and cybersecurity. His recent publications emphasize optimizing ranking models, enhancing algorithm resilience, and addressing ethical considerations in AI systems. He is actively involved in organizing international conferences and serves on program committees, further contributing to the academic community.