Find Academic Supervisors

• Hardware Design for Network Devices
• Fault Tolerance
• Error Correction Codes
• +3 more

Salvatore Pontarelli is a Researcher at CNIT (Italian National Inter-University Consortium for Telecommunications), affiliated with the University of Rome Tor Vergata. He holds a Master's in Electronic Engineering from the University of Bologna (2000) and a PhD in Microelectronics and Telecommunications from the University of Rome Tor Vergata (2003). His work focuses on hardware design for network devices, fault tolerance, error correction codes, and high-speed packet processing. He contributed to EU-funded projects and received a CISCO Research Award (2011) for work on Bloom filters and Ternary CAM. Research interests include hash-based structures (e.g., Bloom filters, hash tables), stateful programmable data planes, and FPGA-based network intrusion detection systems. He led the Defect and Fault Tolerance Group (DFTGroup) under Prof. Adelio Salsano and has extensive experience in collaborative projects with academic and industry partners. Publications highlight innovations in flow monitoring, data plane optimization, and efficient memory management. His work often bridges theoretical algorithms (e.g., cuckoo hashing) with practical hardware implementations, emphasizing real-world applications in networking and telecommunications.

Lorenzo BraccialeView profile

Assistant Professor

• Security & Privacy
• Distributed Systems
• eHealth
• +7 more

Lorenzo Bracciale is an Assistant Professor in the Department of Electronic Engineering at the University of Rome "Tor Vergata". His academic journey began with a BSc in Telecommunication Engineering (2003), followed by an MEng (2006) and PhD (2010), all from the same institution. He has held significant research positions including Visiting Scholar at MIT's RLE (2011) and Trinity College Dublin (2015), and served as Unit Technical Coordinator for the H2020 EU project BPR4GDPR. PhD in Telecommunication Engineering and Microelectronics (2010) MEng in Telecommunication Engineering (2006) BSc in Telecommunication Engineering (2003) Bracciale's research spans security & privacy, distributed systems, and eHealth, with notable applications in wildlife conservation and medical technology. His work combines cryptographic techniques with machine learning to address challenges in digital health, IoT security, and blockchain applications. A distinctive aspect of his career is the Galápagos Pink Iguana conservation project, where he developed embedded systems for monitoring critically endangered species in remote environments. His publication record demonstrates a consistent focus on practical applications of theoretical concepts, with recent work emphasizing medical device security, blockchain privacy solutions, and IoT systems for both healthcare and wildlife conservation. The pattern shows increasing integration of machine learning with traditional security approaches, particularly in healthcare contexts. Bracciale actively contributes to the startup ecosystem through ventures like Sharigo (smart mobility solutions) and Anyway (medical practice management software). His speaking engagements cover critical topics at the intersection of AI, telemedicine, and digital healthcare infrastructure, reflecting his commitment to translating research into real-world impact. His laboratory work centers around developing secure, efficient systems for data collection and processing in constrained environments, with applications ranging from satellite communications to wildlife monitoring. Current projects include advanced cyber ranges for satellite security training and innovative approaches to medical data privacy.

Remo PARESCHIView profile

Associate Professor

• Blockchain Technology
• Artificial Intelligence
• Smart Contracts
• +7 more

Prof. Remo PARESCHI is an Associate Professor at the Department of Bioscienze e Territorio, University of Molise. His research spans blockchain technology, artificial intelligence, smart contracts, IoT, and genomics. He explores interdisciplinary areas such as human-AI collaboration, cybersecurity in distributed systems, and applications of blockchain in agriculture and healthcare. Key research interests include system-theoretical approaches to multi-agent interactions, vulnerability detection in smart contracts, and ethical frameworks for AI integration. He has contributed to projects like Genesy (blockchain-based genomic data ecosystems) and Mybottega (digital art platforms). His work bridges technical innovation with societal impact, addressing sustainability, data privacy, and cultural heritage preservation. Publications highlight advancements in blockchain security, IoT integration, and cognitive systems. He has authored over 50 peer-reviewed articles, with notable contributions to conferences and journals in computer science, AI, and information systems. His research is characterized by cross-disciplinary collaboration, emphasizing practical implementations in real-world scenarios.

STEFANO RICCIARDIView profile

Associate Professor

• Augmented Reality
• Biometrics
• Computer Vision
• +3 more

Prof. Stefano Ricciardi is an Associate Professor at the Department of Biosciences and Territory, University of Molise. His research focuses on augmented reality, biometrics, computer vision, and medical simulation technologies. He has contributed to projects involving industrial maintenance systems, healthcare rehabilitation, and cultural heritage applications. His work often integrates advanced algorithms with real-world applications such as facial recognition, context-aware security frameworks, and virtual reality environments. Prof. Ricciardi's recent research emphasizes innovations in augmented reality for maintenance tasks, implicit biometric authentication, and wearable health monitoring systems. He has explored the use of machine learning techniques in medical diagnostics and developed frameworks for home rehabilitation using Microsoft Azure Kinect. His work bridges technological advancements with practical solutions in healthcare, industrial automation, and cultural heritage preservation. Key projects include the EDISON authentication framework and the 2Vita-B Physical rehabilitation system. His publications highlight interdisciplinary collaborations, combining computer science, biomedical engineering, and human-computer interaction principles. He actively publishes in top-tier venues, addressing topics like head pose estimation, dynamic simulation for production facilities, and augmented reality applications in archaeological exploration.

• Artificial Intelligence
• Computational Argumentation
• Uncertainty Representation
• +3 more

Pietro Baroni is a Full Professor of Computer Science at the Department of Information Engineering, University of Brescia. His research focuses on artificial intelligence, computational argumentation, uncertainty representation, decision support systems, automated diagnosis, and multi-agent systems. He has authored over 110 scientific papers and holds a patent in his field. Key research interests include formal argumentation frameworks, causal reasoning, and their applications in healthcare robotics, energy systems, and decision-making. His work bridges theoretical foundations (e.g., abstract argumentation semantics) with practical implementations in domains like medical automation and sustainable engineering. Notable contributions include advancing automated diagnosis methods for power grids, developing collaborative robotics for personalized medicine, and integrating user preferences into decision support systems. His recent publications emphasize explainable AI, energy efficiency optimization, and interdisciplinary applications of argumentation theory. Baroni’s research has been applied to real-world challenges such as wastewater treatment optimization and environmental footprint assessment. He actively contributes to academic communities through editorial roles and conference organization, including the Logic and Argumentation (CLAR) conference series.

Michele MelchioriView profile

Associate Professor

• Information Systems
• Semantic Web Technologies
• Blockchain Integration
• +7 more

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).

Veronica BartolucciView profile

Research Fellow

• Underwater Robotics
• Multi-Agent Systems
• Control Strategies
• +3 more

Veronica Bartolucci is a Research Fellow at the Department of Information Engineering (DII) of the Polytechnic University of the Marche, currently affiliated with the LabMACS (Laboratory of Modeling, Analysis and Control of dynamical Systems) under Professor Scaradozzi. She holds a Master's Degree (cum laude) in Computer and Automation Engineering from the same university, with a thesis on BLDC motor test benches, followed by a Ph.D. in Information Engineering focusing on max-plus algebra modeling of robotic fish swarms. Previously, she worked at the University of Bologna on the MAXFISH project, addressing multi-agent control for robotic fish swarms. Her research spans underwater robotics, multi-agent systems, biomimetic marine vehicles, and educational robotics. Key projects include DiveSafe and MAXFISH (PRIN 2022) for marine robotics, and RoboPisces/RoboAquaria for educational applications. She also contributed to low-cost hydrophone development for dolphin vocalization monitoring and digital twin infrastructures for underwater surveys. Publications emphasize mathematical frameworks (max-plus algebra), control strategies, and hardware/software systems for robotics and energy applications. Despite no explicitly stated awards, her work demonstrates significant contributions to biomimetic robotics and educational technologies. She advises no listed students but collaborates actively in lab-based and project-driven research. Current focus includes advancing max-plus algebra methodologies for autonomous underwater systems and integrating robotics in STEM education.

Lucia PePaView profile

Researcher

• Telemedicine and Telerehabilitation
• Parkinson's Disease Rehabilitation
• Medical Technology
• +5 more

Prof. Lucia PePa is a Researcher at the Faculty of Engineering of the Polytechnic University of Marche. Her work focuses on innovative technologies for neurological rehabilitation, particularly Parkinson's disease (PD), leveraging telemedicine, wearable devices, and machine learning. She specializes in developing low-cost tele-rehabilitation systems and AI-driven solutions for symptom monitoring and outcome prediction. Her research integrates interdisciplinary approaches, including cybersecurity for IoT healthcare systems, emotion recognition through physiological signals, and real-time stress detection via computer interaction patterns. She has contributed to projects like RAPIDO and PREPARE, advancing personalized rehabilitation strategies using AI-based patient stratification. Key areas include: telerehabilitation architecture design, wearable sensor data analysis, and clinical trial methodologies for PD interventions. Her publications span from gait analysis using smartphones to ethical considerations in federated learning for healthcare data.

Lorenzo CalvelliView profile

Associate Professor

• Ancient History
• Roman History
• Latin Epigraphy
• +7 more

Lorenzo Calvelli is an Associate Professor at the Department of Humanities , Ca' Foscari University of Venice . His academic roles include Coordinator of the Research Institute for Digital and Cultural Heritage and membership in the Scientific Council of the "Ca' Foscari Research Hub for Global Challenges" . Research Areas : Ancient History, Latin Epigraphy, Digital Humanities, History of Classical Scholarship Expertise : Epigraphic Forgeries, Cultural Heritage Valorization, Artificial Intelligence Geographical Focus : Europe, North America, Oceania His research explores epigraphic forgeries , digital methodologies in classical scholarship , and uses of the past through projects like "Epigraphic Database Falsae" (EDF) and "PythiaPlus" (applying machine learning to ancient texts). He has secured grants from the European Commission , MUR , and Spanish Ministry of Science . Calvelli contributes to editorial boards such as "History of Classical Scholarship" and "Current Epigraphy" , and serves as a referee for journals and research programs. His linguistic proficiency spans Italian, English, French, Modern Greek, Spanish, German, and Portuguese.

Marino MiculanView profile

Professor

• Cybersecurity
• Formal Methods
• Distributed Systems
• +3 more

Marino Miculan is a Professor of Computer Science at the University of Udine, leading the MADS Lab and Cybersecurity Lab. His research focuses on formal methods, cybersecurity, and distributed systems, with an emphasis on verifying security in concurrent systems. He has authored over 100 publications and contributed to 16 research projects. His research interests include formal verification of security protocols, distributed computing architectures, and the application of category theory to system modeling. He has developed frameworks like Netstaldi for network discovery and tools such as DBCChecker for analyzing container compositions. Miculan’s work bridges theoretical foundations (e.g., adhesive categories, behavioral equivalences) with practical applications in IoT security, multi-factor authentication, and cloud containerization. His labs explore cutting-edge topics like continuous learning for anomaly detection and stateful access control mechanisms.

Alessandro ScarsoView profile

Professor

• Organic Chemistry
• Catalysis
• Supramolecular Chemistry
• +4 more

Alessandro Scarso is a Full Professor at the Department of Molecular Sciences and Nanosystems, Ca' Foscari University of Venice. He earned a PhD in Chemical Sciences from the University of Padua and completed postdoctoral research at The Scripps Research Institute (USA) and Ca' Foscari. His expertise spans organic chemistry, catalysis, and supramolecular chemistry, with a focus on sustainable processes and bisphosphonate drug development. Scarso has held leadership roles, including vice-coordinator of the PhD Programme in Chemistry (Ca' Foscari & Trieste) and editorial positions in journals like RSC Advances and Organics . Research interests include micellar catalysis, supramolecular nanocontainers, and enzyme-like catalytic systems. Notable awards include the 2010 Young Scientist Prize and Gian Paolo Chiusoli Medal. He teaches advanced courses in organic chemistry, catalysis, and scientific writing, and has supervised over 20 graduate and 6 PhD students. Scarso's work integrates experimental and computational methods, addressing challenges in green chemistry and drug design. He has secured grants and collaborates internationally on projects like the Cariparo SELECT program. His contributions include over 85 publications, with an H-index of 31, and active peer review roles recognized by Publons. Scarso also leads institutional initiatives, including Ca' Foscari's Harvard Summer School and quality assurance for bio/nano-materials programs.

Patrizia ScandurraView profile

Professor

• Software Architecture
• Formal Methods
• Self-adaptive Systems
• +3 more

Patrizia Scandurra is a Professor at the University of Bergamo, Italy. She has held significant roles including Co-chair of the Doctoral Symposium-track at ECSA 2020, Program Co-Chair for multiple conferences, and is a member of steering and organizing committees for various international software engineering events. Her research focuses on Software Architecture, Formal Methods, Self-adaptive Systems, and Cyber-Physical Systems. She has contributed to frameworks like ASMETA and RAMSES, emphasizing rigorous system design and safety assurance. Her work spans formal specification, model-based testing under uncertainty, and adaptive systems for diverse applications such as automotive systems, medical devices, and smart cities. She has published extensively on topics like self-adaptation under model uncertainty, microservices resilience, and anomaly detection in urban infrastructure. Patrizia’s contributions include conference organization across ECSA, ASE, ICSE, and SEAMS, reflecting her leadership in advancing software architecture theory and practice. Her research bridges formal methods with real-world applications, addressing challenges in autonomous systems and digital twin integration.

Leonardo GiannantoniView profile

Researcher

• Computer architectures
• Computer aided design
• Computer graphics
• +10 more

Leonardo Giannantoni is a PhD Student in Control and Computer Engineering at the Polytechnic University of Turin (2021-2024) and a current Research Engineer at the same institution. His work focuses on bio-inspired and AI-driven algorithms for modeling, simulating, and optimizing complex systems, with applications in synthetic biology , structural biology , and healthcare technology . Education PhD in Control and Computer Engineering (2024, Polytechnic University of Turin) MSc in Computer Engineering (2016, Polytechnic University of Turin) BSc in Computer Engineering (2014, Polytechnic University of Turin) Giannantoni's research spans multiple domains, including reinforcement learning for genetic networks , co-simulation in biofabrication , and virtual reality rehabilitation systems for Parkinson's disease. His work integrates machine learning with biological modeling , leveraging parallel computing and software engineering principles. Recent publications highlight his expertise in AI-driven structural biology , synthetic oscillatory networks , and privacy tools like tracker blockers. His Biology System Description Language (BiSDL) provides a framework for multicellular synthetic biological systems design. Scientific Contributions Member of the Focus Group of Researchers (2023-) Giannantoni has served as a Teaching Assistant for courses on Systems Programming and Algorithms , and contributed to open-source projects like nwn-petrisim (Petri Nets simulator) and microgp4 (evolutionary computing toolkit). His work bridges academic research and practical software development for complex systems.

• Wireless Communication Systems
• Distributed Machine Learning
• Edge Computing
• +5 more

Falko Dressler is a full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, Technische Universität Berlin (TU Berlin). He holds a M.Sc. and Ph.D. from the University of Erlangen's Department of Computer Science (1998 and 2003). His roles include associate editor-in-chief for IEEE Trans. on Network Science and Engineering and IEEE Trans. on Mobile Computing , as well as chairing conferences like IEEE INFOCOM and ACM MobiSys. He was an IEEE and ACM Distinguished Lecturer, and authored influential textbooks such as Self-Organization in Sensor and Actor Networks and Vehicular Networking . Education: M.Sc. (1998), Ph.D. (2003) in Computer Science, University of Erlangen Professional Activities: Editorial roles across 8+ journals, conference leadership (e.g., IEEE GLOBECOM), academic fellowships (IEEE, ACM, AAIA) Research Interests: Focus on resilient wireless communication systems integrating distributed machine learning and edge computing. Key domains include IoT, cyber-physical systems, and bio-nano networks. His work bridges theoretical advances with practical applications in vehicular networks, 5G/6G systems, and tactile Internet. Publications: Over 300+ peer-reviewed papers spanning topics like multiband channel analysis, federated learning at edge networks, and O-RAN architecture. Recent work emphasizes 6G innovations, metaverse convergence, and explainable AI for network security. Awards: IEEE Fellow (2014), ACM Fellow (2019), AAIA Fellow (2022), German National Academy of Science member (acatech) Grants/Teams: Leads TKN (Telecommunication Networks) lab, co-organizing IEEE INFOCOM 2026. Supervised over 50 PhD students, many in vehicular/edge computing domains. Labs/Teams: Directs TU Berlin's Telecommunication Networks (TKN) group, collaborating internationally on projects like ReNeSys 2025 and IEEE MedComNet. Active in standardization efforts for Open RAN and vehicular VLC.

Claudio TebaldiView profile

Associate Professor

• Financial Economics
• Derivative Pricing
• Risk Management
• +4 more

Claudio Tebaldi is an Associate Professor at Bocconi University since 2011 and holds the National Qualification to Full Professorship in Quantitative Methods for Economics, Finance, and Insurance (since 2015). He serves as Editor-in-Chief of the Quantitative Finance journal and Scientific Director of the Bocconi Fintech Lab. His research bridges financial economics and complexity theory, focusing on derivative pricing, risk management, and collective phenomena in economic systems. He has received prestigious awards, including the NFA Best Paper in Derivatives (2019) and the Swiss Econometrics and Finance Society Best Paper (2007). His interdisciplinary work integrates advanced statistical methods like machine learning with economic principles to address systemic risks and regulatory challenges. Education details are not explicitly provided in the text, but his academic trajectory suggests a strong background in quantitative finance and mathematical physics. His teaching emphasizes problem-solving and technology integration in courses like Advanced Derivatives and Risk Management, catering to diverse student groups from STEM to business executives. Research collaborations include visits to institutions such as UCLA, NYU, and the Federal Reserve Board. His work often explores the intersection of financial markets and complex systems, with recent contributions to financial contagion modeling, optimal execution strategies, and self-organized criticality in economic fluctuations. Key themes include leveraging interdisciplinary frameworks to understand market dynamics and inform policy-making. Scientific awards highlight his impact on quantitative finance, including contributions to volatility modeling, risk measures, and pension product design. His advisory roles and institutional engagements underscore his influence in both academic and policy spheres.