Find Academic Supervisors

Stefano CarrettaView profile

Professor

• Quantum Computing
• Theoretical Physics
• Condensed Matter Physics
• +4 more

Prof. Stefano Carretta is a Full Professor of Physics of Matter at the University of Parma, leading research in theoretical physics with a focus on quantum computing, molecular nanomagnets, and chirality-induced phenomena. He holds a PhD in Physics from the University of Parma (2005) and has held roles at the National Institute for the Physics of Matter and the National Interuniversity Consortium for the Physical Sciences of Matter (CNISM). His research combines theoretical work with experimental collaboration, targeting applications in quantum computing, magnetic refrigeration, and materials science. He teaches courses such as Quantum Information and Computing , Magnetism and Quantum Computing , and Physics 2 at both bachelor’s and master’s levels. His work includes over 160 publications (h-index 41), with notable contributions to neutron spectroscopy (e.g., MIRACLES project at ESS) and the development of molecular spin qudits. Awards include the 2006 Le Scienze Medal and the 2011 Olivier Kahn Award. Research interests span molecular magnetism, multipolar interactions in f-electron systems, and quantum error correction. Collaborations include experimental groups worldwide and large-scale facilities like the European Spallation Source. He currently serves as an editor for Scientific Reports and referee for top journals (e.g., Physical Review Letters ). Education: PhD in Physics (2005, University of Parma) Key Roles: Full Professor (2019–present), ERC Synergy Project PI, MIRACLES spectrometer co-proposer Labs/Teams: Active in experimental-theoretical collaborations (e.g., neutron scattering, molecular synthesis) Grants: Multiple national/international projects, including European initiatives

Angelo CenedeseView profile

Associate Professor

• Robotics
• Control Systems
• Multi-Agent Systems
• +5 more

Angelo Cenedese is an Associate Professor at the Department of Information Engineering (DEI), University of Padova, and leads the SPARCS Lab (Flying Arena and Mobile Robotics Laboratory). He co-leads the NAVLAB (Autonomous Navigation Laboratory) and holds senior roles in IEEE societies, including the Control Systems Society (CSS) and Robotics and Automation Society (RAS). His academic activities span teaching, editorial work as Associate Editor for IEEE Transactions on Industrial Informatics, and leadership in research projects focusing on robotics, control systems, and multi-agent networks. His research interests include robotics , control systems , multi-agent coordination , computer vision , autonomous navigation , and industrial automation . His recent publications emphasize machine learning for industrial vision systems, adaptive control in aerospace robotics, distributed state estimation , and secure UAV navigation under GNSS spoofing. Key trends involve edge computing , collaborative robotics , and AI-driven optimization . Scientific Awards: Award for 'Most Innovative Application' at Quality Control by Artificial Vision Conference (QCAV 2019) His projects include AI in Manufacturing (AIMS5.0), Sustainable Mobility (PNRR-MOST), and 6G Networking (PREDICT-6G), often in collaboration with Italian and international institutions. Teaching roles cover Robotics and Control , Networked Control Systems , and Computer Vision courses at both undergraduate and graduate levels.

Marco ColombettiView profile

Professor

• Artificial Intelligence
• Multi-Agent Systems
• Semantic Web Technologies
• +3 more

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.

Vincenzo CagliotiView profile

Professor

• Computer Vision
• Robotics
• Image Processing
• +5 more

Vincenzo Caglioti is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) of Politecnico di Milano. His research focuses on computer vision, robotics, and image processing, with emphasis on motion analysis, sensor fusion, and multi-robot systems. He has contributed extensively to fields such as augmented reality, motion blur recovery, and uncalibrated camera systems. Key research areas include: Development of algorithms for 3D reconstruction from motion-blurred images Design of efficient exploration strategies for mobile robots Integration of sensor data for environmental monitoring and autonomous navigation Analysis of geometric properties in catadioptric systems His work spans theoretical advancements in computer vision alongside practical applications in robotics and surveillance. Over 30 years of publications demonstrate a sustained contribution to advancing perception systems for autonomous systems. No scientific awards explicitly listed in provided texts Labs/Teams: Likely affiliated with DEIB's Robotics and Computer Vision research groups, though specific lab names not explicitly stated in text.

• Artificial Intelligence
• IoT
• Robotics
• +7 more

Talal Shaikh is an Associate Professor and Director of Undergraduate Studies at the School of Mathematical & Computer Sciences, Heriot-Watt University Dubai. With over a decade of industry experience as a Chief Information Officer and Software Engineer, he bridges practical insights with academic research. His roles include Programme Director for BSc Computer Science and BSc CS (AI). Research interests focus on IoT, ubiquitous computing, robotics, and machine learning applications in healthcare and finance. He pioneered touchless biometric authentication, emotion recognition systems, and transfer learning in robotics. Educational contributions include innovative teaching methods recognized through multiple awards. Awards: Teaching Excellence Awards (2018) Learning and Teaching Oscar - Graduates Award (2017) Switched On Awards (2016-2018) Supervised numerous student dissertations achieving distinctions, though specific advisee names are not listed. Research emphasizes healthcare applications via WiFi sensing and financial machine learning for predictive analytics.

Luciano GamberiniView profile

Professor

• Human-Computer Interaction
• Ergonomics
• IoT in Workplace Safety
• +5 more

Luciano Gamberini is a Full Professor at the University of Padova, Italy. His research focuses on Human-Computer Interaction (HCI), Ergonomics, and the integration of IoT and AR technologies in industrial and workplace environments. He leads projects like DANTE (digital transformation for SMEs) and DOMHO (smart co-housing for disabled individuals). His work emphasizes human-centered design, safety, and sustainable development in Industry 5.0 contexts. Research Interests: Human-Robot Collaboration Augmented Reality (AR) and Virtual Reality (VR) Applications IoT in Workplace Safety and Sustainability Age-related Technology Use in Industry 5.0 Employee Well-Being and Mental Health in Digital Workspaces Key Projects: CO-ADAPT: Cobots for Ageing Workers SAFE TALK: m-Health for Isolation Support SHIP: Inclusive Urban Park Design His recent articles explore topics such as VR-based teleoperations, trust in collaborative robots, and IoT security in smart workplaces. He actively contributes to the advancement of human-centric technologies through mixed-methods studies and interdisciplinary collaborations.

Luca DidaciView profile

Associate Professor

• Statistical Pattern Recognition
• Biometric Recognition and Security
• Semi-Supervised Learning
• +4 more

Luca Didaci is an Associate Professor of Computer Engineering at the University of Cagliari's Department of Electrical and Electronic Engineering (DIEE), within the Faculty of Engineering and Architecture. He leads research in statistical pattern recognition, biometric systems, and EEG signal analysis, focusing on applications in security, healthcare, and machine learning. His work includes developing EEG-based personal identification techniques, semi-supervised learning methods, and advanced tools for histopathological image analysis. With an h-index of 16, his research has been cited over 950 times. He teaches courses on programming, software development, and computer science fundamentals across undergraduate and graduate programs. Didaci is affiliated with the Pattern Recognition and Application Lab at DIEE and contributes to the PhD Program in Electronic and Computer Engineering. His research interests span multiple classifier systems, biometric authentication, and cybersecurity. Recent projects include studying ADaM/SDTM clinical data formats and investigating adversarial machine learning threats to biometric systems. He actively publishes in top-tier journals and conferences, emphasizing interdisciplinary applications of AI in engineering and medicine.

Giorgio GiacintoView profile

Professor

• Machine Learning
• Cybersecurity
• Network Security
• +6 more

Giorgio Giacinto is a Professor of Computer Engineering at the University of Cagliari, Italy. He coordinates the MSc program in Computer Engineering, Cybersecurity, and Artificial Intelligence. His research focuses on machine learning for malware analysis and detection, with over 180 international publications. Serves as Editor-in-Chief of the Security Engineering & Applications section in the Journal of Cybersecurity and Privacy. Member of managing committees for the Cybersecurity National Lab and the Artificial Intelligence & Intelligent Systems Lab (CINI consortium). Represents the Cybersecurity National Lab in the European Cybersecurity Organization (ECSO). Recognized as a Fellow of the IAPR and Senior Member of IEEE Computer Society and ACM.

• Biometrics
• Machine Learning
• Deep Learning
• +3 more

Marco Micheletto is an Assistant Professor at the University of Cagliari, affiliated with the Pattern Recognition and Applications Laboratory (PRA Lab). His research focuses on biometric security, including fingerprint liveness detection, presentation attack detection, and EEG signal processing for biometric applications. He also investigates deepfake detection and cybersecurity challenges in AI-driven systems. Key projects include the BullyBuster initiative for anti-bullying detection technologies and participation in the LivDet fingerprint liveness detection competitions. His work emphasizes improving system robustness against novel attacks and enhancing generalization in biometric and media forensic applications. Recent research trends highlight advancements in deepfake detection via texture/artifact analysis, fusion strategies for biometric systems, and leveraging AI for social issues like bullying prevention. His contributions span technical improvements in authentication systems, vulnerability assessments in healthcare AI, and forensic methodologies for media integrity. Collaborations involve interdisciplinary efforts in cybersecurity, healthcare, and human behavior analysis. Future work aims to address evolving adversarial techniques and promote ethical AI applications in societal challenges.

• Internet of Things (IoT)
• Quantum Computing
• Wireless Sensor Networks (WSN)
• +4 more

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.

Riccardo ScandariatoView profile

Professor

• Software Security
• Cybersecurity
• Usable Security
• +6 more

Riccardo Scandariato is a full professor and head of the Institute of Software Security at Hamburg University of Technology (TUHH), Germany. He coordinates the International Master in Information and Communication Systems and has held academic positions at institutions like the University of Virginia, Politecnico di Torino, KU Leuven, and the University of Gothenburg before joining TUHH in 2020. Education: PhD in Computer Science from Politecnico di Torino (2004). Career highlights include leading interdisciplinary research in software security, vulnerability repair, and AI-driven cybersecurity solutions. Research focuses on secure software design, automated vulnerability repair, and empirical methods for cybersecurity. Key interests include microservices, IoT, and cyber-physical systems, with emphasis on developer-centric security practices and usable privacy features. Notable projects include SEC4AI4Sec (EU Horizon Europe) and KiThreat (CREATUM GmbH), addressing AI-augmented systems and GenAI-based software risks. Former projects include CASUS (automotive security assurance cases) and CyReV (automotive cyber resilience). Research team includes senior researchers and PhD students working on topics like secure code generation (Catherine Tony), vulnerability localization (Cuong Bui Quang), and ML-driven threat analysis (Torge Hinrichs). Alumni have contributed to areas like automotive systems, privacy in smart homes, and architectural threat modeling. Grants: EU-funded AssureMOSS (2020–2023), H2020, and VINNOVA-backed CASUS (2017–2021). Committees: PC member of major conferences like ECSA, ARES, and SANER. Steering committee for ARES. Labs/Teams: Leads the Institute of Software Security at TUHH, focusing on interdisciplinary tools for secure application design. Collaborates with industry partners like Volvo and CREATUM GmbH.

Enrico BassettiView profile

Researcher

• Cybersecurity
• Network Security
• Machine Learning
• +5 more

Enrico Bassetti is a researcher in the Cybersecurity group at the Faculty of Electrical Engineering, Mathematics, and Computer Science at Delft University of Technology (TU Delft), Netherlands. Previously, he held a researcher position at the Department of Computer Science at Sapienza University of Rome. He earned his Ph.D. in 2023 under Prof. Emanuele Panizzi, focusing on network and protocol security. His research includes developing distributed systems for earthquake early warning using IoT-based machine learning and resilient privacy-first sensor networks. Education: Ph.D. in Computer Science (2023, Sapienza University), Master’s in Cybersecurity (2019, Sapienza University, cum laude). Research Interests: Network security, IoT security, machine learning applications in sensor data, privacy-preserving distributed systems, and resilient infrastructure. His work bridges theoretical cybersecurity with practical implementations in real-world systems like disaster early warning systems. Teaching & Supervision: Experience as a teaching assistant and supervisor of undergraduate research projects and internships/theses. He has also conducted training sessions on Linux containers and security. Industry Experience: Over a decade as a system architect consultant, DevOps advocate, and system/network administrator. Awards: Cum Laude Master’s Degree (2019). Labs/Teams: 曾 affiliated with GamificationLab Alumni (previous role).

• Criminal Procedure Law
• Criminal Appeal
• Defensive Investigations
• +8 more

Elisa Lorenzetto serves as Associate Professor of Criminal Procedure Law (GIUR-13/A) at the Department of Legal Sciences, University of Verona. Her research spans multiple specialized areas within criminal procedure, with particular focus on contemporary challenges in the field. Her research interests include: Criminal appeal proceedings and evidentiary assessment Defensive investigations and equality of arms principles Digital investigations and computer forensic procedures Implementation of the "Orlando" Law reforms Monocratic tribunal proceedings Corporate crime liability procedures Juvenile court composition and alternative procedures Victim protection mechanisms in criminal processes Professor Lorenzetto actively contributes to multiple research projects including 'Diritto, Cambiamenti e Tecnologie' (2018-present) and 'Victims of crime and criminal justice system' (2016-present), examining evolving decision-making processes in legal contexts. Administratively, she serves as President of the Equal Opportunities Commission and participates in various departmental committees including the Legal Studies Department Council and the Scientific Committee for Environmental Protection Specialization Programs.

• Artificial Intelligence
• Cybersecurity
• Formal Methods
• +4 more

Matteo Cristani is an Associate Professor at the University of Verona 's Department of Computer Science , where he teaches courses in Artificial Intelligence , Semantic Web , and Programming across multiple degree programs including Bioinformatics, Computer Science, and Artificial Intelligence. His research focuses on Knowledge Representation , NLP , and Formal Security Analysis , with applications spanning from blockchain technology to geospatial systems. Research Focus Intelligent agents and multi-agent systems Distributed artificial intelligence Formal methods in security theory Network security and cybersecurity NLP and large language models Ontology engineering Projects Active in third-mission activities, Cristani leads projects such as SHIELD (Securing Decentralized Finance and Healthcare Systems), SLOTS (Smart Legal Order in Digital Society), and NOMEN (Next-Gen Cyber Ranges). He has participated in 30+ research initiatives since 2001, including PRIN grants and industrial collaborations in semantic web applications.

• Cybersecurity
• Software Security
• Formal Methods
• +5 more

Mila Dalla Preda is an Associate Professor at the University of Verona's Department of Computer Science, affiliated with the College of Science and Engineering. She holds multiple institutional roles including membership in the Faculty Board of PhD in Computer Science, Computer Science Teaching Committee, and Commissione AQ Ricerca. Her work focuses on software security, code protection, and formal methods. Research interests include static program analysis, formal software security, and semantic-based obfuscation techniques. She leads projects like 'Securing sOFTWARE Platforms' (2024) and 'BinTrace: Binary Similarity Analysis' (2020). Key contributions involve malware detection, program similarity analysis, and blockchain security through tools like Ethersolve. Active in teaching, she instructs courses on Compilers, Software Security, and Data Privacy across undergraduate and graduate programs. Her lab affiliations include the SPY Laboratory (Formal Methods) and collaborates with spin-off companies like 3Dflow s.r.l. and eVS embedded Vision Systems s.r.l.