Find Academic Supervisors

Riccardo RosatiView profile

Research Fellow

• Machine Learning
• Deep Learning
• Biomedical Engineering
• +5 more

Riccardo Rosati (born 1992) is a Research Fellow and Ph.D. student at the Polytechnic University of Marche, where his work focuses on Machine Learning and Deep Learning applications in biomedical engineering and Industry 4.0. He holds a Master of Science in Biomedical Engineering (cum laude, 2018) from the same institution and completed an internship at the Image Processing Division of Leiden University Medical Center (2018-2019). His current Ph.D. scholarship, funded by the Marche Region, supports research in "Embedded Automation and Edge Computing for Industry 4.0". Research Areas: Deep learning for biomedical imaging (e.g., facial liveness detection, lung ultrasound analysis) AI-driven predictive maintenance in industrial systems Augmented reality frameworks for industrial design Steganalysis and biometric-based security systems Human-centered AI applications Key Publications Trends: His recent work spans facial liveness detection, wastewater sensor forecasting, excavation monitoring, and predictive maintenance of ATMs. The research combines convolutional neural networks, LSTM architectures, and transformer models with applications in healthcare, industrial automation, and cybersecurity. Contact: Email r.rosati@univpm.it , Office: +39 071 2204465, Room: Q165_121.

Alessandra FlamminiView profile

Professor

• Internet of Things (IoT)
• Smart Grids
• Embedded Systems
• +3 more

Alessandra Flammini is a full Professor of Electronic Measurements at the Department of Information Engineering, University of Brescia. She leads research teams in Smart Sensors and Embedded Systems (ES³) and founded the eLUX laboratory focused on Smart Grids, Smart Living, and electric vehicles. Her work emphasizes IoT solutions for sustainable cities, sensor signal processing, and wireless sensor networks for industrial and urban applications. Her research spans smart grids, renewable energy integration, and IoT infrastructure for mobility. Notable projects include transportable off-grid charging stations for e-bikes and modular control strategies for vehicle-to-grid systems. She has published over 300 international papers and secured significant research funding, contributing to her recognition in the Top Italian Scientists list. Recent articles explore LoRaWAN virtualization, edge computing performance, and energy-saving control strategies. She also investigates UWB-based safety systems for construction sites and IoT frameworks for indoor environmental monitoring. Flammini’s work bridges technological innovation with practical deployment, emphasizing real-world applications in smart cities and sustainable mobility. Awards: Top Italian Scientists list Labs/Teams: ES³ Research Team, eLUX Lab Grants/Projects: Multiple financed projects on renewable energy, IoT infrastructure, and smart grid solutions

Antonio BrogiView profile

Professor

• Service Computing
• Cloud Computing
• Fog Computing
• +4 more

Antonio Brogi is a Full Professor at the Department of Computer Science, University of Pisa. He leads the Service-Oriented, Cloud and Fog Computing (SOCC) research group and is actively involved in multiple editorial roles, including for Electronics , Heliyon Computer Science , and Journal of Computer Languages . His research focuses on cloud-edge computing, quantum software engineering, and formal methods for distributed systems. He chairs program committees for major conferences like ESOCC, ADAPTIVE, and IEEE ICWS. Research Interests: Service computing, fog computing, quantum software engineering, system coordination, resilience, and sustainability. He has pioneered declarative approaches for managing distributed systems and has contributed to frameworks like ECLYPSE and FREEDA. Teaching: Teaches Cloud Computing (BSc) and Advanced Software Engineering (MSc) at the University of Pisa. Supervises master's and bachelor's theses in related areas. Grants & Projects: Participated in EU-funded initiatives like SeaClouds and national projects DECLware and Through the Fog. Active in industry collaborations for cloud-edge infrastructure optimization.

• Cloud Computing
• 5G Networks
• Programmable Data Plane
• +8 more

Paolo Giaccone is a Full Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. He serves as Course Coordinator for the Master's Degree in Communications Engineering and contributes to teaching in the College of Electronic, Telecommunications and Physics Engineering. His research focuses on cloud computing, 5G networks, programmable data planes, WiFi-based crowd monitoring, and network softwarization . His recent publications highlight edge computing, microservice orchestration, and resource optimization in cloud and network systems. Collaborations with researchers like Carla Chiasserini and Holger Karl dominate his work. He has received honors such as the Open badge Learning to Teach (L2T) and served as Associate Editor for IEEE/ACM Transactions on Networking. He advises PhD candidates including Antonio Calagna and Madhura Adeppady, and leads projects like SmartShires and TrialsNet for next-generation networks.

• Robotics
• Multi-robot Systems
• Control Systems
• +4 more

Lorenzo Sabattini is an Associate Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia, Italy. His research focuses on multi-robot systems, decentralized estimation/control, and human-robot interaction. He holds a Ph.D. in Control Systems and Operational Research from the University of Bologna (2012), and has been a Visiting Researcher at the University of Maryland (2010). He served as a founding co-chair of the IEEE RAS Technical Committee on Multi-Robot Systems from 2014–2021. His work has been recognized with awards such as the Fabrizio Flacco Young Author Best Paper Award (2018) and the IEEE RAS Most Active Technical Committee Award (2018). Research interests include multi-robot coordination, coverage control, human-robot collaboration, and Industry 5.0 applications. Notable projects involve digital twins for operator well-being, AGV fleet management, and socially acceptable robotics. He has organized workshops at IEEE ICRA, RSS, and ERF, and serves as an Associate Editor for International Journal of Robotics Research (2023–2024) and IEEE Robotics and Automation Letters (2015–2018). Publications span topics like connectivity maintenance in robot networks, multimodal stress assessment in HRC, and resilient multi-robot systems. He actively collaborates on industrial automation projects, such as the INCLUSIVE system for adaptive HMIs and autonomous depalletizing systems. His research bridges theory and practice, addressing challenges in logistics, manufacturing, and human-centric robotics.

Mario Di MauroView profile

Researcher

• Network Intrusion Detection
• Machine Learning
• Cybersecurity
• +6 more

Mario Di Mauro is a prominent researcher in computer science and engineering, specializing in network security, intrusion detection, and network function virtualization (NFV). His work focuses on leveraging neural networks, machine learning, and stochastic modeling to enhance availability analysis in softwarized systems and telecommunications infrastructure. His research spans critical areas such as: Neural-based intrusion detection systems Optimal configurations for high-availability telecom systems Performance evaluation of multimedia protocols over LTE Machine learning for encrypted traffic detection Key trends in his publications include hybrid active learning for video quality assessment, sensitivity analysis of NFV architectures, and the application of deep learning to network security. Collaborations with co-authors like M. Longo, F. Postiglione, and G. Galatro highlight his interdisciplinary approach.

Fabio PatroneView profile

Assistant Professor

• Satellite Communication Networks
• Delay and Disruption Tolerant Networks (DTNs)
• Cybersecurity
• +7 more

Fabio Patrone is an Assistant Professor at the University of Genoa's Department of Electrical, Electronic, and Telecommunications Engineering and Naval Architecture (DITEN). His research focuses on satellite communication networks, cybersecurity, and 5G/6G integration. He holds a Ph.D. from the Satellite Communications and Networking Laboratory (SCNL), where his thesis addressed routing algorithms in DTN networks. Education: BEng and MEng in Telecommunication Engineering (University of Genoa, 2010-2013), followed by a Ph.D. in Satellite Communications (2017). His work spans satellite-DTN integration, IoT solutions with aerial/satellite networks, and machine learning for intrusion detection systems. Research interests: Cybersecurity in industrial/agricultural IoT, satellite-terrestrial network convergence, edge computing orchestration in LEO constellations, and latency optimization in non-terrestrial networks. He has developed frameworks like OpenSatRange for satellite network testing and proposed reinforcement learning-based handover strategies. Recent work trends show strong focus on hybrid satellite-terrestrial 5G networks, AI-driven network management, and vulnerability assessment of critical infrastructure systems. His articles address both theoretical advancements (e.g., graph neural networks for routing) and applied solutions (e.g., SDR-based cybersecurity frameworks). Acknowledgments: No scientific awards explicitly mentioned. Active in advising on ANChOR project (data-driven network orchestration) and developing lab infrastructure at SCNL. Collaborates with industry partners on edge computing and smart grid applications. Labs/Teams: Core member of Satellite Communications and Networking Laboratory (SCNL), contributing to projects like E-CGR energy-aware routing and Coldsel congestion mitigation algorithms. Engaged in UAV/satellite integration initiatives for IoT expansion in rural areas.

Domenico StriccoliView profile

Associate Professor

• Internet of Things
• Network Security
• Information Centric Networking
• +3 more

Dr. Domenico Striccoli is an Associate Professor in the Department of Electrical and Information Engineering at the Polytechnic University of Bari, Italy. He holds a Dr. Eng. Degree (2000) and Ph.D. in Electronic Engineering (2004) from Politecnico di Bari. His office contact is +39 080 5964225. Research focuses on advanced networking technologies: Internet of Things architectures and security Information Centric Networking paradigms Low Power Wide Area Networks optimization Nanocommunication systems Network performance modeling and evaluation Awards include Best Impact Contribution runner-up at RESTART Workshop (2024) and 2nd Best Paper at ICT-DM Conference (2023). Teaching includes Multimedia Systems and Telecommunication Signal and System for Aerospace courses.

Antonio PetrosinoView profile

Research Fellow

• Software-Defined Networking
• Satellite Communication
• NarrowBand - IoT
• +3 more

Antonio Petrosino is a Research Fellow at the Department of Electrical and Informational Engineering, Politecnico di Bari. His research focuses on Software-Defined Networking, Satellite Communication, and NarrowBand-IoT technologies. Education: Bachelor of Engineering in Computer Science and Automation (2016), Politecnico di Bari Master in Telecommunication Engineering (2020), Politecnico di Bari His work spans network optimization, security frameworks for 6G satellite deployments, and integration of UAVs in IoT-satellite systems. Recent publications highlight advancements in trust dissemination, NB-IoT over LEO satellites, and hybrid terrestrial-non-terrestrial architectures. Research Collaborations: Co-authorship with teams from Politecnico di Bari, University of Naples, and international institutions.

• Computer Networks
• Edge Computing
• Digital Twins
• +4 more

Armir Bujari is an Associate Professor at the Department of Computer Science within the Faculty of Science and Engineering at the University of Bologna. His research focuses on advanced networking, edge computing, digital twins, and blockchain applications. He holds a scientific disciplinary sector specialization in Information Processing Systems (IINF-05/A). Key research areas include: Edge and cloud computing architectures IoT and smart systems integration Blockchain-enabled data ecosystems Urban and industrial digital twins Disaster communication protocols Recent publications emphasize innovative solutions in federated learning, QUIC protocol optimization for satellite networks, and digital twin applications in logistics and smart cities. His work bridges theoretical advancements with practical implementations in 5G/6G networks, disaster response systems, and sustainable energy grids. Office location: 1st floor, Palazzina ex-scuderie, Viale Risorgimento 2, Bologna. Reception hours are typically Mondays 3-5 PM, with flexible scheduling via email.

• Neuropsychology
• Cognitive Neuroscience
• Physical Activity and Cognitive Efficiency
• +4 more

Patrizia Turriziani is a Full Professor at the University of Palermo in the Department of Psychological, Pedagogical, Physical Exercise and Training Sciences . She serves as the Delegate for Supporting Neurodiversity and contributes to institutional initiatives like CE.N.DIS (University Center for Disability and Neurodiversity) and the ARTEMISIA Center for Gender Studies. Her research is centered in Neuropsychology and Cognitive Neuroscience , with a focus on sensory processing, memory, and physical activity's cognitive effects. Institutional Roles: Delegate for Neurodiversity, CE.N.DIS, ARTEMISIA Center, NeuroTeam srl Labs: Neuropsychology Lab Research Interests include cognitive rehabilitation, sensory-motor integration, neurodevelopmental disorders, and neuromodulation techniques like rTMS and tDCS. Her recent publications highlight stroke recovery , Alzheimer's interventions , and sensory processing in neurodiverse populations. She also investigates spatial cognition and memory enhancement through prism adaptation and digital therapeutics. Key Collaborations involve the Neuropsychology Lab and translational research with the NeuroTeam srl initiative. Her work spans both clinical and developmental neuropsychology , integrating applied neuroscience with educational and rehabilitation frameworks.

FRANCA STABLUMView profile

Professor

• Cognitive Psychology
• Neuropsychology
• Cognitive Rehabilitation
• +4 more

Prof. Franca Stablum is a Full Professor at the University of Padua. Her research focuses on cognitive psychology, neuropsychology, and rehabilitation, particularly in attention mechanisms, executive functions, and time perception across populations including older adults and neurological patients. She has pioneered computerized cognitive training tools and neurorehabilitation methodologies. Her work integrates experimental psychology, neuroimaging, and computational modeling. Key areas include: 1) Temporal processing disorders in neurological conditions (e.g., Parkinson's, MS); 2) Prospective memory deficits in brain injury patients; 3) Developmental time perception studies in children; 4) Digital interventions for cognitive aging. She has developed assessment tools like the 'Virtual Kitchen' for executive function evaluation and the SWIFT collaborative web-based training platform. Over 200+ publications span cognitive neuroscience, clinical neuropsychology, and rehabilitation engineering. Her research emphasizes translational approaches, bridging basic science with clinical applications. Active in international collaborations, she has contributed to standardization efforts in cognitive screening (e.g., Italian norms for Addenbrooke's Cognitive Examination).

Stefano SalsanoView profile

Assistant Professor

• Networking
• Telecommunications
• 5G Networks
• +7 more

Stefano Salsano is an Assistant Professor at the Department of Electronic Engineering at the University of Rome Tor Vergata since 2000. He holds a Laurea degree (1994) and PhD (1998) from the University of Rome. His research focuses on advanced networking technologies including Information-Centric Networking, SDN, Segment Routing (SRv6), 5G, and Network Function Virtualization (NFV). He has contributed to numerous EU-funded projects (e.g., INSIGNIA, ELISA, AQUILA) and led research in telecommunications at CoRiTeL until 2000. His work emphasizes scalable network architectures, performance measurement, and programmable data planes. Key projects include the OFELIA testbed, SRv6 implementation, and contributions to standards like RFC 9779. He has authored over 100 publications with an h-index of 17, addressing topics such as network programmability, cloud-native solutions, and hybrid SDN/IP systems. Research highlights include developing the DIDA framework for distributed machine learning, optimizing SRv6 for SD-WANs, and exploring 5G Superfluid Networks for dynamic service deployment. Collaborations include CNIT, Netgroup, and initiatives like the GEANT SDX project.

Andrea BandiniView profile

Assistant Professor

• Artificial Intelligence
• Computer Vision
• Biomedical Signal Processing
• +6 more

Andrea Bandini is an Assistant Professor at the Interdisciplinary Research Center 'Health Science' at Scuola Superiore Sant'Anna (Pisa, Italy) and an Adjunct Scientist at KITE - Toronto Rehabilitation Institute (Canada). He holds a PhD in Bioengineering (2016) from the University of Bologna and degrees in Biomedical Engineering (2012) and Electronic Engineering (2010) from the University of Florence. Affiliations: Affiliate Researcher at The Biorobotics Institute (Sant'Anna School), Adjunct Professor at the University of Florence (2021–2024). Research Focus: AI-driven tools for remote assessment of neurological disorders, with expertise in computer vision, biomedical signal processing, and rehabilitation engineering. Key Areas: Speech/swallowing analysis, upper limb function assessment, stroke recovery prediction, and telemedicine applications. His work bridges artificial intelligence and clinical practice, developing algorithms for speech impairment detection (e.g., ALS, Parkinson’s), swallowing assessment, and wearable sensors for home-based monitoring. Collaborations include the Steele Swallowing Lab at KITE. Education: PhD in Bioengineering, University of Bologna (2016) MSc in Biomedical Engineering, University of Florence (2012) BSc in Electronic Engineering, University of Florence (2010) Awards: Multiple honors including the 2021 Best Abstract Award (National Spinal Cord Injury Conference), 2020 People’s Choice Award (KITE 3MT), and postdoctoral awards in aging technology (AGE-WELL). Research emphasizes multi-modal approaches, integrating EEG, EMG, and video data to optimize neurological disorder interventions. His lab develops tools for remote clinical assessment, enhancing accessibility to healthcare for neurologically impaired populations.

Luigi PannocchiView profile

Researcher

• Computer Networking
• Real-Time Systems
• Autonomous Systems
• +3 more

Luigi Pannocchi is a Postdoctoral Researcher at Sant'Anna School of Advanced Studies since September 2021. His research focuses on optimizing network infrastructures, virtualized systems, and autonomous systems. He holds a PhD from 2015 to 2018, with a strong emphasis on real-time systems, embedded architectures, and control frameworks. Research interests include datacenter optimization, virtual machine (VM) placement in NFV environments, AI-driven network management, and the integration of real-time systems with autonomous robotics. His work bridges theoretical models with practical implementations in cloud computing and embedded systems. Recent publications highlight advancements in VM placement algorithms using logic programming, AI applications in network virtualization, and optimization techniques for NFV infrastructures. His 2023 IEEE TCCPS Early-Career Award recognizes contributions to softwarized network services and real-time systems. Key contributions include frameworks for autonomous systems prototyping, power consumption modeling in embedded systems, and HIL testing methodologies for multi-vehicle systems. His research spans interdisciplinary areas such as robotics, cloud engineering, and real-time computing.