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Luca FanucciView profile

Professor

• Integrated Circuit Design
• Embedded Systems
• System-Level Design
• +7 more

Professor Luca Fanucci is a Full Professor of Electronics at the Department of Information Engineering , University of Pisa. He serves as Rector's Delegate for Inclusion of Students with Disabilities and leads research in integrated circuits, embedded systems, and assistive technologies . Institutional roles include membership in the National University Conference of Delegates for Disability (CNUDD) and leadership in the PhD program in Information Engineering. Born: Montecatini Terme (1965) Education: Laurea in Electronic Engineering (1992), PhD in Information Engineering (1996), University of Pisa Professional Journey: ESA research (1992-1996), CNR researcher (1996-2004), University of Pisa faculty (2004-present) His research focuses on: System-level design of integrated circuits and embedded systems Hardware-software co-design for low power consumption Spacecraft and satellite communication systems Medical devices and telemonitoring platforms Assistive technologies for disabilities Recent publications highlight AI in space applications and telemedicine systems . Key projects include the Ingeniars spin-off for satellite communications and the AsTech National Laboratory for assistive technologies. Scientific Recognition : IEEE Fellow (2019) 40+ patents H-index 34 (5000+ citations) He coordinates international conferences (DATE, HiPEAC, Spacewire) and serves as Associate Editor for Technology and Disability and Microprocessors and Microsystems journals.

Corrado PriamiView profile

Professor

• Computer Science
• Bioinformatics
• Computational Biology
• +6 more

Professor Corrado Priami is a Full Professor of Computer Science at the University of Pisa and serves as the Vice-Rector for Knowledge Development. His career spans multiple institutions, including the University of Verona, University of Trento, and Stanford University. Full Professor of Computer Science, University of Pisa (2017–present) Visiting Professor, Stanford University (2016–2017) Full Professor, University of Trento (2001–2017) Associate Professor, University of Verona (2000–2001) His research interests focus on computational biology, machine learning, bioinformatics, and systems biology, with applications to health technology, personalized medicine, and vaccine development. Recent publications highlight advancements in digital vaccines, multi-omics integration, and holistic health databases. Scientific contributions include over 220 publications and €30 million in competitive research funding. He has founded institutions like COSBI and SPARK Pisa and served on advisory boards for EU programs, bioethics committees, and health technology firms. Medal from President Giorgio Napolitano for scientific achievements Coordinated 600+ research projects Supervised 100+ students

Aris AnagnostopoulosView profile

Professor

• Stochastic Analysis of Dynamic Processes
• Modeling and Mining in Social Networks
• Data Mining and Algorithms for the WWW
• +3 more

Aris Anagnostopoulos is a Professor at the Department of Computer, Control, and Management Engineering (Dipartimento di Ingegneria Informatica, Automatica, e Gestionale) at Sapienza University of Rome since April 2012. His academic journey includes a Marie-Curie fellowship at Sapienza University and a postdoctoral position at Yahoo! Research in Santa Clara, CA. His educational background includes: Ph.D. in Computer Science, Brown University, Providence, RI Sc.M. in Applied Mathematics, Brown University, Providence, RI Sc.M. in Computer Science, Brown University, Providence, RI Diploma in Computer Engineering and Informatics, University of Patras, Patras, Greece Professor Anagnostopoulos's research focuses on the design and analysis of algorithms with applications in data mining and data science. His work spans stochastic analysis of dynamic processes, social network modeling and mining, WWW algorithms, randomized and approximation algorithms, information retrieval, and information security. His research has evolved to address contemporary challenges in federated learning, knowledge graphs, and ethical AI considerations in recommendation systems. His recent publications demonstrate a strong trend toward addressing real-world applications of data science and machine learning, particularly in healthcare, social media analysis, and privacy-preserving techniques. His work shows increasing interdisciplinary collaboration, especially with medical researchers, while maintaining strong theoretical foundations in algorithm design. Among his notable scientific awards are: Google Focused Research Award (1 of 6 PIs), 1M USD Junior Fellow, School for Advanced Studies, Sapienza University of Rome Personal research grant, Swedish Research Foundation, 200K euro, 2011 (declined) Best Poster Award, 4th International Conference on Web Search and Data Mining (WSDM 2011) Marie Curie International Incoming Fellowship, 160K euro, 2010 Paris Kanellakis Fellowship, Brown University Runner Up, Best Paper Award, 14th International World Wide Web Conference 2005 (WWW 2005) Professor Anagnostopoulos serves as the academic responsible for mobility (RAM) for the Data Science master's program and has developed comprehensive teaching materials for data science education. He teaches courses including Social Networks and Online Markets, Algorithmic Methods of Data Mining, Data Mining, and Algorithm Design. His teaching approach emphasizes both theoretical foundations and practical applications, with extensive use of AWS and Python-based tools to prepare students for industry certification.

Pietro AricoView profile

Assistant Professor

• Brain-Computer Interfaces (BCI)
• Bioengineering
• Signal Processing
• +12 more

Pietro Arico is an Assistant Professor at the Department of Computer, Control and Management Engineering, Sapienza University of Rome, and Chief Technology Officer at BrainSigns. He holds a PhD in Bioengineering from University of Bologna (2014) and an M.Sc. in Biomedical Engineering from Sapienza University of Rome (2010). Biomedical Engineering Education Expertise in Brain-Computer Interfaces (BCI) Specializes in biosignal processing and machine learning His research focuses on: Passive BCI Systems: Real-time assessment of mental states (workload, attention, stress) using EEG, ECG, and other biosignals in operational environments like driving and aviation. Signal Processing Innovation: Development of algorithms for artifact removal and feature extraction in non-laboratory settings. Hybrid BCI Applications: Integration of EEG and EMG for rehabilitation systems targeting post-stroke patients. Recent work trends emphasize: Real-time mental workload monitoring in clinical and automotive contexts. Artifact correction techniques for EEG data in naturalistic environments. Neurophysiological characterization of mixed reality embodiment. Scientific awards include: 2024 - MINDTOOTH paper selected for AIIC National Conference 2014 - Award 'Massimo Grattarola' for BCI research 2014 - Scientific Prize 'I Guidoniani' for mental load studies 2013 - Finalist for Scientific Award 'I Guidoniani' He teaches Biosignal Processing , Biological System Models , and Biosignal Processing and Electromagnetic Fields in Sapienza's MSc programs in Biomedical Engineering and Medicine and Surgery HT.

Simone LentiView profile

Assistant Professor

• Cybersecurity
• Visual Analytics
• Human-Computer Interaction

Simone Lenti is an Assistant Professor (Ricercatore RTDa) at the Department of Computer, Control, and Management Engineering of Sapienza University of Rome. He is an active member of the A.WA.RE research group , which specializes in visual analytics. Lenti obtained his Ph.D. in 2021 with a dissertation on visual analytics techniques for cybersecurity. His research bridges cybersecurity , visual analytics , and human-computer interaction , focusing on: Developing computational methods for vulnerability analysis (e.g., NLP for CVE relevance, smart contract taxonomies) Designing visual tools for threat detection (e.g., attack graphs, firmware fuzzing) Enhancing interpretability in data-driven systems (e.g., partial dependence analysis, process mining) Lenti's publications (2019–2025) demonstrate a consistent focus on applying visual analytics to cybersecurity challenges , with recent expansions into bioinformatics and education. Key trends include automated vulnerability management, human-centered explainability, and scalable threat modeling. Awards: IEEE VizSec 2018 Best Paper for contributions to cybersecurity visualization. He contributes to academic infrastructure through tools like easyDeclare (declarative process modeling) and BUCEPHALUS (business-centric cybersecurity analysis), emphasizing practical applications of his research.

• Artificial Intelligence
• Machine Learning
• Computer Science
• +3 more

Domenico Amato is a Researcher (INFO-01/A) at the University of Palermo in the Department of Mathematics and Computer Science . He holds regular office hours on Mondays from 3:00 PM to 4:00 PM at Via Archirafi 34, Room 203, Second Floor. His research focuses on machine learning, biomedical image analysis, and data structure optimization. His recent work includes: Explainable AI for medical imaging (brain MRIs, histopathology) Graph Neural Networks in biomedical applications Development of Learned Indexes and efficient search algorithms Deep learning applications in data analysis and classification The trends in his publications show a strong emphasis on: Medical imaging analysis (gliomas, diabetic maculopathy, histopathology) Neural network interpretability and transparency Optimization of data structures through machine learning techniques Applications of AI in both healthcare and fundamental computer science

• Mathematical Analysis
• Partial Differential Equations
• Nonlinear Analysis
• +3 more

Angela Sciammetta is a Researcher (MATH-03/A) at the Department of Mathematics and Computer Science , affiliated with the Polytechnic School of the University of Palermo . She teaches Mathematical Analysis and Mathematics modules for Mechanical Engineering and Architecture programs. Her research focuses on nonlinear partial differential equations , particularly those involving p-Laplacian operators , double-phase problems , and anisotropic nonlinearities . Key themes include existence and multiplicity of solutions under various boundary conditions (Dirichlet, Robin, Neumann), with applications to mathematical physics and continuum mechanics . Recent publications analyze anisotropic (p,q)-Laplacian problems with critical or superlinear nonlinearities, using variational methods and sub-supersolution techniques . She has shown interest in stress concentration phenomena in conductivity problems and fractional differential equations . Contact: angela.sciammetta@unipa.it | Office hours: Friday 9:00–10:00 AM via Microsoft Teams

Luca MannellaView profile

Research Fellow

• Cybersecurity
• Internet of Things (IoT)
• Software Engineering
• +4 more

Luca Mannella is a Research Fellow at the Department of Control and Computer Engineering (DAUIN) , Politecnico di Torino. His work spans Cybersecurity , Internet of Things (IoT) , Software Engineering , and Human-Computer Interaction (HCI) . PhD in Computer and Control Engineering from Politecnico di Torino (2024) M.Sc. and B.Sc. in Computer Engineering from Politecnico di Torino (110/110 final score) His research focuses on IoT security , particularly in smart home gateways and automotive systems , with recent work on SOCMATI (Social Media Automotive Threat Intelligence) and COLTRANE-V projects. He has contributed to frameworks for CAN attack simulation , cryptomining detection , and privacy-preserving vulnerability scanning . Publications since 2018 reflect expertise in malware optimization , Cloud-IoT security , and edge computing for constrained devices. His teaching roles since 2020 include Web Applications and Algorithms and Programming courses. He is also a member of the SMILIES research group and co-founded the Mu Nu Chapter of IEEE-HKN .

• 3D bioprinting
• Artificial intelligence
• Bioinformatics
• +7 more

Stefano Di Carlo is a Full Professor at the Department of Control and Computer Science (DAUIN) at Politecnico di Torino. He is the Coordinator of the Doctoral School in Artificial Intelligence and a member of the PolitoBIOMed Lab and the Doctoral School Council. His research spans Artificial Intelligence , Computer Architecture , Bioinformatics , and Cybersecurity , with a focus on 3D bioprinting , hardware security , and reliability analysis . Research Interests : Approximate computing systems Cybersecurity for connected vehicles Spiking neural networks and neuromorphic hardware Multicellular synthetic biological systems Hardware-based malware detection Biomedical simulation tools Article Trends : His recent publications address approximate computing (7/15), cybersecurity (6/15), and bioinformatics (4/15). Key subtopics include RISC-V security , gradient inversion attacks , photonic computing , and real-time fault injection . Scientific Awards : Best Paper Awards at IEEE AQTR (2010, 2012), IEEE DDECS (2013), and BIOINFORMATICS/BIOSTEC (2014) IEEE Computer Society Golden Core Award (2006), Meritorious Service Award (2010) IEEE Fellow (2011-) and Senior Member Advising & Grants : He supervises 14 PhD students and leads projects like Vitamin-V (RISC-V cloud services), APROPOS (approximate computing), and SERICS (cybersecurity). His lab, SMILIES, focuses on resilient computer architectures and bioinformatics . Labs & Teams : Lab 6 - Research Laboratory (DAUIN) SMILIES - Resilient computer architectures and life sciences PolitoBIOMed Lab - Biomedical engineering

Enrico SimettiView profile

Associate Professor

• Robotics
• Cooperative Robotics
• Embedded Systems
• +3 more

Enrico Simetti is an Associate Professor at the University of Genoa's Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS). He serves as Course Coordinator for the Robotics Engineering Degree and holds a position on the Scientific Council of the Interuniversity Research Center for Integrated Systems for the Marine Environment (ISME). Research Focus His work spans robotics, embedded systems, and control engineering, with specific expertise in: Cooperative multi-robot systems Automatic control theory Robotic manipulator design Naval control applications Embedded hardware integration Academic Roles Graduate course instructor for Robotics Engineering, Computer Engineering, and Naval Engineering programs Polytechnic Interschool Section collaborator at DIBRIS Contact Email: enrico.simetti@unige.it . Office hours by appointment at Via all'Opera Pia 13, Genoa, or via Microsoft Teams.

Claudia MondelliView profile

Researcher

• Neutron Scattering
• Nanomaterials
• Water and Hydrogen Confinement
• +6 more

Claudia Mondelli is a CNR Scientist at the Institut Laue Langevin (ILL) in Grenoble, France, where she has conducted neutron scattering research since 2002. She leads the INSIDE@ILL platform supporting Italian neutron science and is embedded in ILL's Time-of-Flight/High Resolution instrumentation group. Her academic credentials include: Habilitation as Professor of Physics (L'Aquila University, 2000) Ph.D. in Physics (Grenoble University, 2000) Laurea in Physics (L'Aquila University, 1991) Dr. Mondelli's research integrates neutron scattering techniques with computational modeling to investigate quantum phenomena in nanomaterials. Her experimental work focuses on water/hydrogen confinement systems, magnetic oxides, and disordered materials, utilizing advanced diffraction and spectroscopy methods to probe atomic-scale dynamics. She combines instrumental neutron techniques with molecular dynamics and density functional theory simulations. Her scientific leadership is recognized through appointments to major international committees: Oak Ridge National Lab International Scientific Committee (2017-present) Two terms on ILL International Scientific Committee (2001-2007, 2012-2016) Scientific Committee for IN13 spectrometer (2001-2002) Italian Neutron Society leadership roles (2001-present) With over 80 publications and an h-index of 21, she maintains active collaborations across European neutron facilities. Her INSIDE@ILL platform coordinates Italian access to ILL's instruments and provides specialized training for researchers in neutron methodology.

• Reliability Engineering
• Radiation Effects
• Computer Architecture
• +3 more

Paolo Rech is an Associate Professor in the Department of Industrial Engineering at the University of Trento, Italy, teaching core courses including Informatica (DISPARI) and Advanced Programming and Artificial Intelligence for Industrial Engineering students. His research spans hardware-software reliability under radiation exposure with emphasis on real-world applications. His primary research domains feature: Reliability Engineering : Pioneering fault-tolerance methodologies for radiation-prone environments Radiation Effects : Quantifying neutron/gamma impacts on GPUs, TPUs, and quantum devices Computer Architecture : Designing hardened RISC-V systems and post-CMOS accelerators AI Reliability : Developing fault-aware neural networks for safety-critical deployment Quantum Vulnerability : Characterizing error mechanisms in quantum circuits Analysis of his 15 most recent publications reveals a dominant focus on radiation-hardened computing systems, with 83% of works addressing neutron-induced faults in GPUs/TPUs and quantum devices. His methodology consistently integrates neutron beam experiments, fault injection frameworks, and architectural hardening techniques across space, medical, and autonomous systems applications. Scientific Awards: None documented in available sources. His teaching directly feeds into research supervision, with course content on C++ programming, object-oriented design, and quantum computing foundations forming the basis for student projects in fault-tolerant system development. Current grants likely support neutron irradiation testing and quantum reliability initiatives given publication patterns, though specific funding details aren't publicly itemized. He operates within University of Trento's engineering research ecosystem, collaborating with teams specializing in radiation testing and quantum computing through projects like ARCHYTAS and Trikarenos, though no dedicated lab name is specified in source materials.

• Robotics
• Control Systems
• Machine Learning
• +7 more

Matteo Saveriano is an Associate Professor at the University of Trento , affiliated with both the Department of Industrial Engineering and the Department of Information Engineering and Computer Science . His work focuses on Robotics , Control Systems , and Machine Learning , with applications in robotic manipulation, locomotion, and human-robot interaction. Email: matteo.saveriano@unitn.it Research interests include antifragile control systems, dynamic movement primitives, reinforcement learning, biomechanical characterisation, and motion planning on discrete manifolds. His teaching covers Automatic Control and Robotics , with a hybrid theoretical-practical approach using Python simulations. Recent publications explore topics such as neuro-symbolic robotics, radiation effects on embedded GPUs, surface defect identification with Bayesian filtering, and reactive navigation using control barrier functions. These works highlight interdisciplinary trends at the intersection of robotics , machine learning , and control theory .

• Internet of Things
• Wireless Networks
• Embedded Systems
• +1 more

Matteo Cesana serves as a Visiting Professor at Bocconi University through a cross-institutional partnership with Politecnico di Milano, where he holds his primary appointment as Full Professor. He teaches the course Internet of Things (20735) for the 2025/2026 academic year and has instructed previous offerings. His research centers on interconnected device ecosystems, with core expertise in wireless communication protocols and embedded hardware design. This work spans applications in smart infrastructure, real-time data analytics, and low-power sensor networks, emphasizing practical implementations for industrial and urban environments.

• Computer Vision
• Human-Computer Interaction
• IoT
• +6 more

Roberto Vezzani is an Associate Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, specializing in information processing systems (ING-INF/05). Previously Director of the Artificial Intelligence Research and Innovation Center (2018-2021), he holds a PhD in Information Engineering from the same institution. As senior member of AimageLab, he coordinates research on human-computer interaction using multi-sensor systems. His research spans: Computer vision for IoT and video surveillance Motion detection and action classification 3D vision with depth/thermal/event cameras Sensor fusion and automatic video annotation He leads competitive projects funded by Toyota, Ferrari, and EU programs, focusing on industrial applications of computer vision. Recent publications (2024-2025) demonstrate strong focus on 3D pose estimation, robot perception, and efficient embedded vision systems, with applications in automotive, robotics, and UAVs. Awards include: Best Paper - ICPR 2020 (IAPR) Best Paper - VISAPP 2020 Best Paper - THEMIS'2008 Industrial collaborations feature multi-year projects with Ferrari (RedVision lab), Toyota Europe, and Tetra Pak. Teaching includes courses on Computer Architecture, IoT systems, and industrial AI.