Paolo Camerini is a Full Professor of Experimental Physics of Fundamental Interactions and Applications at the Department of Physics, University of Trieste. He actively participates in doctoral education as a Coordinator and Member of Doctoral Colleges for Physics, spanning cycles XXIX to XXXIX. His research focuses on advanced particle detection technologies, particularly Monolithic Active Pixel Sensors (MAPS) and Low Gain Avalanche Diodes (LGAD), with applications in high-energy physics, medical diagnostics, and future experiments like ALICE 3 at CERN and ePIC at EIC. INFN Research Grant: Development of Advanced Algorithms for Event Selection, Simulation, and Reconstruction with the ALICE Experiment (Scientific Manager, Active) ELMA Project: Energy Loss Measurements with MAPS (Participant, Active) He contributes to departmental governance as a Member of the Department Council and various committees. His work intersects with interdisciplinary applications of physics in technology development, including flexible silicon sensors for non-planar geometries and large-area detectors for particle tracking with sub-10-micron precision.
Giacomo Contin serves as an Associate Professor at the Department of Physics, University of Trieste, where he holds staff ID number 9161. His academic appointment falls under the field of Experimental Physics of Fundamental Interactions and Applications. Professor Contin maintains significant administrative responsibilities including membership on the Department's Board, participation in Boards of Studies for Physics programs (SM20 and SM23), and serving as Referente per i seminari (seminar coordinator) within the Head's Office. His research specialization centers on Silicon Detector Technology , with particular expertise in Monolithic Active Pixel Sensors for Energy Loss Measurements in particle physics applications. As part of the Innovative Silicon Detectors research group, his work bridges Experimental Particle Physics and Technological Research Development within the broader domain of Interdisciplinary and Applied Physics. His current research focuses on advancing detector technologies for fundamental physics experiments. Professor Contin serves as Principal Investigator for the "Energy Loss measurements with Monolithic Active pixel sensors" (ELMA) project, funded by the Italian Ministry of Foreign Affairs and International Cooperation (MAECI), which runs from November 20, 2023 to April 30, 2026. This research involves collaboration with Professors Paolo Camerini, Giacomo Margagliotti, and Rinaldo Rui. He also leads another active research initiative described as "cofin 2 assegni di ricerca resp. prof. Contin - quota fondi INFN-EIC". Department's Board - Member Boards of Studies for Physics programs (SM20 and SM23) - Member Head's Office - Seminar Coordinator Innovative Silicon Detectors Research Group - Member His laboratory work focuses on developing and implementing silicon-based detector systems for precision measurements in particle physics experiments, contributing to both fundamental research and potential technological applications in detector design.
Antonio Ficarella is a Full Professor of Energy and Environment Systems at the University of Salento , affiliated with the Department of Engineering for Innovation and Faculty of Industrial Engineering . His research spans fluid dynamics, energy systems, and aerospace propulsion, with a focus on unsteady and two-phase flows, combustion behavior, and innovative sensor development. Key Projects : Coordinated PRIN Cycle-Resolved Emissions Control, European INTERREG Renewable Energy & Forest Management, PON MALET for UAV propulsion, and TECHNOLOGY DEVELOPMENT COMMUNITY with GE Avio. Labs : Leads the Green Engine Lab , specializing in industrial and aerospace energy systems. Leadership Roles : Former Director of the Department of Engineering for Innovation (2013-2015), Dean of the Faculty of Industrial Engineering (2008-2012), and President of the ITS Aerospace Foundation since 2013. Active in European aeronautics advisory boards (ACARE, CTNA) and industry development committees.
Giuseppe Barillaro is an Associate Professor at the Information Engineering Department of the University of Pisa, leading a research group focused on micro and nanostructured materials, devices, and systems for applications in (nano)photonics, microelectronics, (bio)sensing, and (nano)medicine. His work bridges advanced fabrication techniques with biomedical and environmental sensing solutions. Research Themes : Development of biodegradable and implantable sensing systems Microfabrication using silicon electrochemical micromachining (ECM) technology Optofluidic photonic crystal microsystems Microneedles for transdermal biosensing 3D microincubators for cell analysis Key Collaborations : Italian Institute of Technology (IIT), Scuola Normale Superiore, and international institutions in materials science and biomedical engineering. Article Trends : His recent publications emphasize nanoscale materials engineering (porous silicon, conducting polymers, photonic crystals) for ultra-sensitive biosensing, biodegradable medical devices, and advanced optical systems. Techniques include 4D printing, in-situ nanoassembly, and ECM-based silicon structuring. Scientific Leadership : Project Coordinator for EIC PathFinder Open project RESORB (EC-funded) Marie-Curie fellowships for team members Collaborations with CNR-IEIIT, STMicroelectronics, and Baxter International Inc. Education & Advising : He mentors PhD and Master’s students in Biomedical Engineering, Electronic Engineering, and Chemistry, with former advisees now at institutions like the Max Planck Institute and Molecular Foundry Berkeley Lab. Teaching includes Biomedical Electronics instrumentation. Labs & Teams : Leads a multidisciplinary group at University of Pisa Collaborates with Prof. S. Merlo (University of Pavia) and Dr. G. Mazzini (CNR-IGM Pavia)
Niccolò Pretto is a Researcher at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy, based at NOI Techpark in Bolzano. He teaches Engineering of Mobile Systems for Bachelor in Computer Science students and Research Methods for Doctoral candidates in computer science. His research specializes in audio cultural heritage preservation, focusing on AI-driven solutions for analog magnetic tape restoration and international standardization efforts. Key projects include developing computer vision algorithms for audio tape anomaly detection, creating capacitive interfaces for stone artifacts, and co-authoring the MPAI/IEEE Audio Recording Preservation (ARP) standard. His work bridges musicology, archival science, and engineering to address challenges in electroacoustic music preservation and interactive heritage experiences. Analysis of his 15 most recent publications reveals three dominant themes: (1) Technical innovation in audio restoration (e.g., digital filters for speed/equalization correction), (2) Human-centered interaction design for cultural artifacts (e.g., submersible textile interfaces), and (3) Ethical AI standardization for heritage preservation. His publications consistently emphasize "active preservation" methodologies that combine philological rigor with computational approaches. Dr. Pretto maintains active collaborations with the Computational Sonology Center (CSC) at the University of Padova, where he has contributed to projects preserving Luciano Berio's audio archives and developing the FONTI 4.0 transcription system for historical oral sources. His teaching in mobile systems and research methods directly informs his applied work in heritage technology development. He operates from NOI Techpark, a leading Alpine innovation hub, where his laboratory focuses on sensor development for cultural heritage applications. Current projects include magnetoresistive textile interfaces for underwater interaction and AI-based anomaly detection systems for archival audio tapes, positioning his team at the forefront of preservation technology research.
Pasquale Sacco is a Researcher in Biochemistry at the Department of Life Sciences (DSV) of the University of Trieste. He actively participates in interdisciplinary research projects spanning biomedicine, environmental biology, and sustainable material development, with a focus on polysaccharide-based hydrogels and their applications in tissue engineering and drug delivery. Key affiliations: Member of Executive Board, Department's Board, and Boards of Studies Active in projects like SPARE (Sustainable Paths for Hemp Valorization) and "microgrants" (LR 2/2011) Research areas: Biochemistry, Biomaterials, Polymer Science, and Environmental Applications
Carlos Esteban Budde is a Professor in both the Department of Economics and Management and the Department of Information Engineering and Computer Science at the University of Trento, Italy. His research focuses on rare event simulation, formal methods, and cybersecurity, with particular emphasis on developing automated algorithms for importance splitting techniques applicable to high-reliability systems and fault trees. Education: PhD in Computer Science (2012-2017) from National University of Córdoba, Argentina. Thesis: "Automation of Importance Splitting Techniques for Rare Event Simulation." MSc in Computer Science (2010-2012) from National University of Córdoba, Argentina. Final project: "Fully measurable non-determinism in continuous probabilistic processes." BSc in Computer Analyst (2007-2010) from National University of Córdoba, Argentina. Professor Budde's research centers on rare event simulation and formal methods for analyzing stochastic systems. His work develops theoretical frameworks for automated importance splitting algorithms that can handle general stochastic models beyond Markovian assumptions. He implements these techniques in practical tools like FIG (Finite Improbability Generator) for reliability analysis of high-criticality systems, with applications spanning cybersecurity, infrastructure maintenance, and safety-critical systems. His interdisciplinary approach bridges theoretical computer science with practical engineering challenges in system reliability. His recent publications demonstrate a strong focus on quantitative security analysis using attack and fault trees, with increasing integration of machine learning techniques for predictive maintenance. Budde has made significant contributions to rare event simulation methods applicable to non-Markovian systems, extending formal verification techniques to hybrid systems where traditional model checking approaches fail. His work consistently emphasizes practical implementation and empirical validation through diverse case studies. Scientific Awards: MSCA Postdoctoral Fellowship (2022) for "Projection of Security Vulnerabilities caused by Exploits in Dependencies" Best short-paper award at QEST 2020 for "The Dynamic Fault Tree Rare Event Simulator" Best MSc grade point average award from National University of Córdoba (2012) Flag bearer of the Faculty of Mathematics, Astronomy, Physics, and Computer Science (2011) Professor Budde has supervised numerous MSc and BSc theses at University of Twente and National University of Córdoba, with students working on topics including Bayesian network applications, predictive maintenance, fault tree analysis, and statistical model checking. His research is supported by multiple international projects including CS4E (Cyber Security for Europe, H2020), SEQUOIA (Smart maintenance optimization), and SUCCESS (SecUre aCCESSibility for IoT). As an active member of the research community, Budde serves on program committees for major conferences including TACAS, QEST, and CSF, and has organized workshops such as PM 2021. His work bridges theoretical computer science with practical applications in system reliability and cybersecurity.
Fausto Marcantoni is an Assistant Professor at the University of Camerino , specifically within the School of Science and Technology - Computer Science Section . His academic work focuses on network security, penetration testing, and cybersecurity education. He actively supervises student theses and leads the Laboratorio di Reti di Elaboratori (Computer Networks Laboratory) at the university. Contact: fausto.marcantoni@unicam.it | Tel. +39 0737-402105 Location: Polo Lodovici, Via Madonna delle Carceri, 62032 Camerino, Italy Research Themes: Marcantoni's research spans cybersecurity, network architecture, digital identity management, and IoT security. He has explored applications in cloud computing, RFID technology, and security-awareness gamification through projects like SEC-GAME. His Google Scholar publications reflect a dual expertise in both computer science and animal nutrition chemistry, though the latter may represent a coincidental namesake. Recent cybersecurity trends in his work: Machine Learning for intrusion detection, SDN security monitoring, and federated identity systems Key tools: Wireshark, Metasploit, GNS3, and open-source vulnerability platforms Advising Legacy: Over 15 years, he has supervised dozens of theses on topics ranging from penetration testing frameworks to network virtualization, covering technologies like WebRTC, RFID, and cloud security. Students include Giacomo Belli, Simone Squadroni, Lorenzo Brancaleoni , and many others working on topics like malware analysis, OSINT, and smart contract security.
Michela Quadrini is an Assistant Professor at the University of Camerino with expertise spanning Bioinformatics , Computational Biology , and Graph Neural Networks . Her academic work focuses on RNA structure analysis, human activity recognition, and formal methods for collective adaptive systems. Research Interests include: RNA pseudoknots comparison and classification Machine learning applications in biomedical signal processing Spatial logics for complex system modeling Protein-protein interaction site prediction Ontology-based frameworks for activity recognition Publications demonstrate methodological innovation across: RNA structure alignment and translation tools (TARNAS) Graph neural network programming languages (μG) Stress detection from wearable sensor data Formal verification of collective systems Immunoinformatics feature engineering Technical Expertise combines computational biology with advanced machine learning techniques, evidenced by contributions to: Topological data analysis for RNA structures Convolutional neural network architectures Semantic ontologies in mechatronic systems Integral equation numerical methods
Daniela De Biase is an Associate Professor of Biochemistry at Sapienza University of Rome, affiliated with the Department of Medical-Surgical Sciences and Biotechnologies within the Faculty of Pharmacy and Medicine. She teaches Biochemistry across multiple degree programs including Medicine and Surgery, Dentistry, and Molecular Biology, with courses delivered both in Italian and English. Her institutional roles include serving as Vice-president of the full cycle degree course in Medicina e Chirurgia 'E' (Latina, Polo Pontino) and Coordinator of the interfaculty Monitoring Committee overseeing quality for over 90 degree courses. Her research spans three interconnected domains: Microbiology-Molecular Biology focusing on transcriptional regulation and biochemistry of glutamate and glutamine-dependent acid resistance systems in Escherichia coli and other enteric bacteria; Biochemistry where she is an expert on PLP-dependent enzymes, particularly glutamate decarboxylase (GAD) and GABA-transaminase; and Biotechnology where she engineers GAD for biotech applications and studies acid stress response for food and biotech sector applications. Her work has evolved toward nanotechnology applications for pathogen detection and antimicrobial development, as evidenced by her recent publications. Prof. De Biase serves on the editorial boards of several prestigious journals including Molecular Microbiology and Frontiers in Microbiology. She has organized multiple international conferences, most notably as Chair of the COST Action CA18113 'Understanding and exploiting the impacts of low pH on micro-organisms'. Her research funding includes principal investigator roles for multiple Sapienza research projects and the COST Action grant. Her recent publications reveal a clear trajectory toward interdisciplinary research combining microbiology, biochemistry, and nanotechnology, with increasing emphasis on practical applications for pathogen detection, antimicrobial development, and medical diagnostics. The publications demonstrate a consistent focus on bacterial stress responses while expanding into novel technological applications. 2021: Habilitation to Full Professor BIOS-07/A (Biochemistry) 2010: Visiting Professor at Laboratoire de Biologie et Pharmacologie Appliquée - Ecole Normale Supérieure (ENS) de Cachan-France Member of Editorial Board of Molecular Microbiology (2023-present) Associate Editor for Frontiers in Microbiology (2017-present) Chair of COST Action CA18113 'Understanding and exploiting the impacts of low pH on micro-organisms' (2022-present) Prof. De Biase leads research projects investigating carbon-phosphorus and carbon-sulfur containing amino acids and their derivatives, with applications ranging from antimicrobial development to biocatalysis. She coordinates the Internationalization Commission for the Faculty of Pharmacy and Medicine and serves as Sapienza Referent teacher and Work package Leader for Erasmus+ KA220 project 'DOMINOS'. Her laboratory facilities include the 'Laboratori di Biochimica e Biologia Molecolare delle Cellule Procariotiche e delle Cellule Eucariotiche' and 'Laboratorio Batteriologia'. Her educational background includes a PhD in Biochemistry from the University of Wales (1991), a summa cum laude Degree in Biological Sciences from Sapienza University of Rome (1987), and classical studies from Liceo 'Giulio Cesare' in Rome (1983). She has been progressively building her academic career at Sapienza University since 1991, advancing from Assistant Professor to her current Associate Professor position.
Guido Albertengo serves as an Associate Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin. His academic responsibilities span multiple educational programs including the College of Electronic, Telecommunications and Physics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. Albertengo teaches courses related to communication systems, IoT applications, and automotive informatics across various degree programs including Communications Engineering, Electronic Engineering, and ICT for Smart Societies. Albertengo's research focuses on Internet of Things (IoT) applications, particularly in vehicular traffic monitoring systems. His work integrates telecommunications technologies with sensor networks and embedded systems to develop solutions for smart transportation infrastructure. His expertise spans wireless communication protocols, network performance analysis, and the application of deep learning techniques to urban traffic forecasting problems. Analysis of Albertengo's recent publications reveals a consistent research trajectory centered on communication systems for IoT applications, particularly in transportation contexts. His work demonstrates expertise in evaluating cloud messaging platforms, developing smartphone-based traffic monitoring solutions, and applying deep learning to traffic prediction. The publications show strong interdisciplinary connections between telecommunications engineering, computer science, and transportation systems. Albertengo has supervised doctoral students in the Electronics and Communications Engineering program from 2003/2004 through 2010/2011. His research projects include commercially funded work such as Scientific Analysis of Case Studies and Operational Scenarios of the Field Application of IEEE 802.15.4 Communications (2010-present), Personal and Trusted Services for the Connected Car (2015-2016), and Preliminary Analysis of a Scenario for the Use of New HW and SW Technologies Suitable for Wireless Network Transmission (2008). Albertengo is an active member of the TNG (DET) research group, which focuses on telecommunications network technologies and their applications. His work bridges academic research with practical commercial applications, particularly in the automotive and smart city domains.
Filippo Attivissimo serves as a Full Professor in the Department of Electrical and Information Engineering at the Polytechnic of Bari, Italy, where he has been a core member of the Electrical and Electronic Measurement research group since 1993, progressing from Post-Doc Researcher to Assistant Professor before attaining his current rank. His academic credentials include: MS in Electronic Engineering from Polytechnic of Bari (1992) PhD in Electrical Engineering from Polytechnic of Bari (1997) Professor Attivissimo's research integrates Electrical and Electronic Measurements with advanced applications in Power Quality and Renewable Energy Monitoring . His work pioneers Sensor Design for health, industrial, and environmental systems, alongside innovations in Analog-to-Digital Converter Modeling and Computer Vision for measurement optimization. The group has developed field-deployed prototypes including 'Divesa' for satin glass assessment, 'Miogeria' as an open-source energy meter, and 'Sirio' for medical data management in nephrology centers. He maintains active national and international collaborations, having coordinated multiple industrial research programs that bridge theoretical measurement science with practical implementations in medical diagnostics and energy systems. His team operates within the Electrical and Electronic Measurement research group at Polytechnic of Bari, closely affiliated with the Italian Association 'Electrical and Electronic Measurements Group' (GMEE), focusing on translating research into real-world tools for quality control and diagnostic applications.
Floriano Scioscia is an Associate Professor at the Polytechnic University of Bari, Italy, specializing in Information Processing Systems (SSD ING-INF/05). His research bridges Semantic Web technologies, Knowledge Representation, and Artificial Intelligence to develop innovative solutions for Internet of Things, Blockchain, and smart city infrastructures. His primary research domains include Semantic Web, Knowledge Representation and Reasoning, Internet of Things, Blockchain, Edge Computing, and Artificial Intelligence. He applies these to solve critical problems in smart mobility (e.g., blockchain-enhanced ridesharing), last-mile logistics optimization, energy infrastructure management, and healthcare decision support. His work consistently focuses on creating lightweight, scalable frameworks like Tiny-ME for resource-constrained environments and semantic-enhanced platforms for real-world system integration. Analysis of his 2023-2025 publications reveals a dominant trend toward edge-centric semantic technologies. Key themes include OWL reasoning on constrained devices (Tiny-ME Wasm), blockchain integration for transparent service platforms (RideMATCHain), and AI-driven optimization for logistics/smart cities. His work demonstrates exceptional cross-domain applicability, with consistent emphasis on explainability, scalability, and practical implementation in transportation, energy, and healthcare infrastructure. The publications show strong synergy between theoretical knowledge representation advances and deployable system architectures.
Laura Avanzino is an Associate Professor at the University of Genoa , affiliated with the Department of Experimental Medicine - DIMES . She serves as a member of the Department Board and the Quality Presidium, and teaches physiology-related courses across multiple degree programs including Biomedical Engineering, Medicine and Surgery, Motor Sciences, Sport and Health, Podology, and Physiotherapy. Research Interests: Neurophysiology and neuroplasticity mechanisms Neurodegenerative diseases (e.g., alpha-synucleinopathies, dystonia) Neuromodulation techniques (e.g., cerebellar tDCS) Biomedical sensor development for gait analysis Recent Publication Trends: Her 2024–2025 work focuses on neuroimaging biomarkers in Parkinson's disease, genetic factors in movement disorders, cerebellar contributions to temporal prediction, and machine learning applications for wearable sensor-based mobility assessment. Contact: Email laura.avanzino@unige.it or call +39 010 353 8172.
Domenico Augusto Francesco Maisano is a Full Professor at the Department of Management and Production Engineering (DIGEP) at Polytechnic University of Turin. He holds courses in Quality Engineering and Quality Management Systems, and serves as Degree Course Leader for Industrial Production Engineering programs. His research focuses on Quality Engineering, Large-Volume Metrology, and Scientometrics.
