جستجوی استاد راهنمای دانشگاهی

Stefano CALZAVARAمشاهده پروفایل

دانشیار

• Web Security
• Machine Learning
• Formal Methods
• +۴ مورد دیگر

Stefano CALZAVARA is an Associate Professor at the Department of Environmental Sciences, Computer Science and Statistics, Ca' Foscari University of Venice. His expertise spans web security, machine learning, and formal methods. He holds a Ph.D. in Computer Science from his alma mater, following a B.A. and M.A. in the same field. His research focuses on secure web protocols, vulnerability detection, and adversarial machine learning. He teaches courses like Web Security and Computability, and contributes to the Research Institute for Complexity Communications. Notable work includes verifying tree ensembles against evasion attacks and analyzing web session security at scale. Education: Ph.D. Computer Science, Ca' Foscari University of Venice (2010-2012) M.A. Computer Science, Ca' Foscari University of Venice (2007-2009) B.A. Computer Science, Ca' Foscari University of Venice (2004-2007) Research Interests: Web security, including session integrity and content policies Machine learning robustness and certification Formal methods for protocol verification Adversarial attacks and defenses Recent Articles Trends: His recent work emphasizes securing machine learning models against adversarial attacks, formal verification of web protocols, and empirical analysis of web storage vulnerabilities. Publications appear in top venues like ACM CCS and IEEE Security Symposiums. Awards: None explicitly listed. Advising & Grants: Postdoctoral research at Ca' Foscari (2013-2015) and Saarland University (2015). Active in teaching and ethical research governance as an Ethics Commission member. Labs/Teams: Part of the Research Institute for Complexity Communications, focusing on interdisciplinary security challenges.

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.

• 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.

Stefano Melacciمشاهده پروفایل

دانشیار

• Machine Learning
• Artificial Intelligence
• Computer Vision
• +۱۴ مورد دیگر

Stefano Melacci is an Associate Professor in the Department of Information Engineering and Mathematics (DIISM) at the University of Siena, Italy. He is a core member of the Siena Artificial Intelligence Laboratory (SAILab), where his research centers on Machine Learning and Artificial Intelligence, particularly in foundational and applied aspects of Computer Vision and Natural Language Processing. Department: Department of Information Engineering and Mathematics (DIISM) Institution: University of Siena Research Group: Siena Artificial Intelligence Laboratory (SAILab) He holds a PhD in Machine Learning from the University of Siena (2010), with prior research experience at Ohio State University. His career includes academic positions and industrial research at QuestIT, where he led NLP and conversational AI initiatives. His research interests lie at the intersection of deep learning and symbolic reasoning, particularly through the framework of Learning from Constraints . He investigates Kernel Machines, Regularization Theory, and cognitive models such as Developmental Visual Agents (DVA) and Cognitive Action Laws (CALs) . His work emphasizes motion invariance, visual attention, and continual learning. The recent publications highlight a strong trend in neurosymbolic AI, constraint-based learning, and biologically inspired neural computation. Key themes include explainability, adversarial robustness, graph neural networks, and efficient temporal modeling. His collaborative work with Marco Gori, Andrea Betti, and others demonstrates sustained innovation in hybrid AI systems. Scientific Contributions and Recognition: Author of foundational work on Laplacian SVMs trained in the primal (JMLR 2011) Co-author of the book Machine Learning: A Constraint-Based Approach (Elsevier, 2nd ed. 2024) Developer of PyTorch and MATLAB libraries for LapSVMs and cognitive vision models Active contributor to top-tier venues: NeurIPS, ICML, AAAI, IJCAI, IEEE TPAMI Stefano Melacci has advised numerous students in deep learning, continual learning, and neurosymbolic AI. His research is supported by sustained publication output and integration of theoretical and applied work. He teaches courses such as Neural Networks and Fondamenti di Programmazione at the University of Siena. He leads research within SAILab, focusing on cognitive vision, constraint propagation, and hybrid learning systems. His lab develops models that combine data-driven learning with symbolic knowledge, aiming to create more robust, interpretable, and human-like AI systems.

• 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.

• Biometrics
• Fingerprint Recognition
• Security Systems
• +۳ مورد دیگر

Raffaele Cappelli is an Associate Professor at the Department of Computer Science and Engineering, University of Bologna. His research focuses on fingerprint biometrics, emphasizing anti-spoofing, segmentation, and synthetic data generation. He contributes to the Fingerprint Verification Competition (FVC) and has pioneered tools like SFinGe for synthetic fingerprint databases. His work addresses security vulnerabilities in biometric systems and forensic applications. Education and affiliations include roles at the University of Bologna, with expertise in computer science and engineering. His research integrates machine learning, pattern recognition, and hardware acceleration to enhance biometric system performance and reliability. Key areas of study include presentation attack detection, fingerprint orientation estimation, and large-scale database management. He has authored over 70 publications, with notable contributions to forensic science and secure authentication protocols.

Amleto Di Salleمشاهده پروفایل

استادیار

• Software Engineering
• Model-Based Software Engineering
• Distributed Systems
• +۷ مورد دیگر

Amleto Di Salle is an Assistant Professor at the Gran Sasso Science Institute in Italy, specializing in Software Engineering , with a focus on Software Architecture , Model-Based Engineering , and Technical Debt . He previously served as a Research Fellow at the European University of Rome and earned a Ph.D. in Computer Science from the University of L’Aquila in 2015. Research Interests : Software Architecture Model-Driven Software Engineering Distributed Systems Composition Technical Debt and Code Smells Self-Adaptive Systems Digital Twins Recent Publications show a trend toward Deep Learning for Code Analysis , Model-Driven Architecture , and Distributed System Compliance . He has collaborated extensively on projects like CHOReVOLUTION and MATISSE . Teaching spans courses on Software Engineering , Model-Driven Development , and Java/J2EE Programming at institutions including the University of L’Aquila and European University of Rome.

• Internet of Things
• Body Sensor Networks
• Edge Computing
• +۴ مورد دیگر

G. Fortino is a Professor at the University of Calabria, Italy, with 643 publications, an h-index of 74, and over 21,592 citations. His research spans critical domains including: Internet of Things Body Sensor Networks Edge and Fog Computing Healthcare Applications Machine Learning and Deep Learning Security and Trust Frameworks His work establishes foundational architectures for healthcare industry 4.0 and IoT security, particularly through multi-sensor fusion techniques and edge-based processing. Recent publications demonstrate a pronounced shift toward medical applications, with deep learning models for blood pressure monitoring, brain tumor classification, and emotion recognition integrated with real-time sensor networks. Analysis of his 2017-2021 publications reveals dominant trends in human activity recognition (50% of recent work), security for distributed systems (30%), and medical diagnostics (20%), consistently leveraging machine learning for real-time processing in resource-constrained environments. His most influential papers address IoT security taxonomies and body sensor network fusion, with citation counts exceeding 500. No information regarding scientific awards, student advising, grants, or dedicated research laboratories was found in the provided materials.

• Aerospace Engineering
• Aircraft
• Composites
• +۸ مورد دیگر

Alfonso Pagani is an Associate Professor at the Department of Mechanical and Aerospace Engineering, Polytechnic of Turin. He holds a Ph.D. in Aerospace Engineering (City University of London, 2016) and a Ph.D. in Fluid-dynamics (Politecnico di Torino). His work focuses on aerospace structures, composites, computational mechanics, and multiscale modeling. Research Interests: Aerospace engineering, composite materials, deployable structures, nonlinear dynamics, and spacecraft design. He leads the MUL2 research group and has secured major grants including an ERC Starting Grant (2019) for variable stiffness composites and PNRR projects on additive manufacturing and renewable composites. Recent publications analyze thermal stresses in 3D printed composites, variable stiffness optimization, and deployable space structures. His work integrates Carrera Unified Formulation (CUF) with machine learning for structural analysis. ERC Starting Grant (2019) ACAM8 Best Paper Award (2014) Ian Marshall Best Student Paper (2013) Ernesto and Ben Omega Petrazzini Scholarship (2012) Aldo Muggia Award (2012) He teaches courses such as Asymptotic Methods in Structural Mechanics and Peridynamics, and supervises Ph.D. students in mechanical and aerospace engineering. He collaborates with institutions including Caltech, Purdue, and RMIT, and co-organizes international conferences on advanced materials.

• Embedded Systems
• Fault Tolerance
• Precision Agriculture
• +۵ مورد دیگر

Maurizio Rebaudengo is a Full Professor at the Department of Control and Computer Science (DAUIN) of the Polytechnic University of Turin. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and holds expertise in embedded systems, fault tolerance, and sensor network applications. Research Interests: Embedded systems, fault tolerance, precision agriculture, RFID technology, wireless sensor networks, and system dependability Scientific Awards: Ramamoorthy Best Paper Award (1997) Leadership Roles: Program Chair for the 4th International EURASIP Workshop on RFID, Committee Member for Public Administration Agreements (2020-2024) Projects: Scientific Director for HONEY (Hybrid ONline tEchnologY for particle therapy), FDM (Food Digital Monitoring), IDEM (Internet of Data for Environmental Monitoring), and OPLON (Healthy Longevity Opportunities). Teaching: Course lecturer for Electronic Calculators, Computer Science, Systems Programming, and Cybersecurity at both undergraduate and postgraduate levels. His work spans IoT applications in agriculture and healthcare, focusing on low-cost sensor networks , RFID-based traceability , and cyber-physical system resilience . Recent publications emphasize particulate matter monitoring and secure communication protocols in wireless environments.

Bartolomeo Montrucchioمشاهده پروفایل

استاد

• Computer Vision
• Quantum Computing
• Image Processing
• +۵ مورد دیگر

Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.

• Approximate computing
• Bayesian networks
• Cybersecurity
• +۷ مورد دیگر

Alessandro Savino is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di TORINO. He serves as an academic advisor for Bachelor’s and Master’s degree programs in Computer Engineering (Ingegneria Informatica) and contributes to PhD programs in Artificial Intelligence and Computer Engineering. Research Interests: Approximate computing, Cybersecurity (including automotive systems), Dependability, Parallel computing, Reliability analysis, and Neuromorphic architectures. Key Projects: Leads RESCHIP4EU (2024-2028), NEUROPULS (2023-2027), and commercial contracts focused on real-time OS validation and avionics design. Publications: Recent work spans hardware security (e.g., VeriSide for leakage assessment), spiking neural networks (SpikeExplorer, SpikingJET), and automotive cybersecurity (CARACAS, CAN-MM). Teaching: Instructs courses on Parallel and Distributed Computing, Hardware & Wireless Security, and System Programming across Politecnico di TORINO and Scuola IMT Alti Studi - LUCCA. Research Group: Leads the SMILIES group, focusing on resilient computer architectures and life sciences.

• 6G communications
• Information theory
• MIMO systems
• +۸ مورد دیگر

Giorgio Taricco is a Full Professor at the Department of Electronics and Telecommunications (DET) of Polytechnic University of Turin. His research focuses on 6G communications, information theory, and MIMO systems, with expertise spanning telecommunications, signal processing, and wireless communication. He leads the Advanced techniques for digital transmission (CommGroup) research group and has been a Scientific Responsible for multiple projects, including EU-funded MASCOT and HICCUP, and commercial contracts like JEANS and NEXT GEN DATALINK. Research Interests: 6G networks, MIMO systems, information theory, satellite communication, energy-efficient coding Notable Projects: MASCOT (2006-2009), HICCUP (2002-2003), JEANS (2022-2024), WORK ITEM 4.4 (2024-2025) His recent publications analyze secrecy energy efficiency in metasurface-aided networks, IRS-NOMA for integrated sensing, and advanced precoding techniques, reflecting trends in wireless security and next-generation communication systems. As an IEEE Fellow since 2010, he contributes to editorial boards, including Entropy (2025-). He supervises PhD students like Agbotiname Lucky Imoize and Aysegul Ilay Tunali, integrating education with cutting-edge research in telecommunications.

• Wireless sensor networks
• Internet of Things (IoT)
• Air pollution monitoring
• +۱۱ مورد دیگر

Renato Ferrero is an Associate Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino (Polito) , with key roles as contact person for training activities and member of the PIC4SeR Interdepartmental Center for Service Robotics . His research spans Wireless Sensor Networks (WSN) , Internet of Things (IoT) , and Environmental Monitoring , supported by competitive grants like AGRITech Spoke 6 (2022-2025) and MIUR funding (2017). He has published extensively on topics including air pollution monitoring , quantum-inspired security , and agricultural technology , with recent work focusing on deep learning for mask/respirator detection and biofertilizer analysis . As an IEEE Access Associate Editor and program committee member for conferences like COMPSAC and RFID-TA, he contributes to academic governance. His teaching includes Computer Architecture (2019-2025) and Ubiquitous Computing (2019-2021) at Polito. He advises PhD students Chiara Panico and Nicola Dilillo , with projects in Data Science , Computer Vision , and AI Life Sciences .

• Digital Twin
• Aerospace Systems Prognostics
• Embedded Sensors
• +۶ مورد دیگر

Paul Major is a Full Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin, where he has established himself as a leading researcher in aerospace systems. He serves as a member of the PhotoNext Interdepartmental Center for Applied Photonics and the University Internship Commission, demonstrating his commitment to interdisciplinary research and student development across multiple domains of engineering. Professor Major's research focuses on digital twin technology, prognostics and diagnostics of aerospace systems, and embedded sensor systems. His work bridges theoretical modeling with practical applications, particularly in the areas of augmented reality for aircraft monitoring, optical fiber sensors for structural health monitoring, and machine learning applications for predictive maintenance of electromechanical systems. His research has significant implications for improving aircraft safety, efficiency, and sustainability, with applications extending to lunar exploration technologies and space habitat design. His recent publications reveal a strong trend toward integrating advanced computational methods with physical systems, particularly in the domains of lunar exploration technology, additive manufacturing for aerospace applications, and sustainable aviation solutions. The interdisciplinary nature of his work spans aerospace engineering, computer science, materials science, and control systems, reflecting the increasingly interconnected nature of modern engineering research. His team has made significant contributions to optical sensor integration, AR visualization for maintenance, and prognostic frameworks for electromechanical systems. Professor Major actively mentors doctoral students, with current advisees including Matteo Bertone, Pierluigi Vergari, Armando Vittorio Atzori, and several others working on cutting-edge aerospace projects including lunar drones, aircraft anti-icing systems, and electromechanical actuator diagnostics. He has secured numerous research grants from both competitive funding bodies and commercial contracts, including projects like ASTRA (Advanced Space Tethers for Remote-sensing Applications), SmartCore, and FreME (Freno Multidisco Ad Attuazione Elettromeccanica Smart). He leads the ASTRA research group focused on Additive manufacturing for Systems and sTRuctures in Aerospace and is actively involved with the student team ICARUS. His work has practical applications in both terrestrial and space environments, with recent projects addressing lunar exploration technologies, sustainable aviation solutions, and advanced monitoring systems for aerospace applications.