Edvige Celasco is an Associate Professor at the Department of Physics (DIFI) of the University of Genoa. Her research focuses on experimental physics and applications, particularly in cryogenic detectors, transition edge sensors (TES), and materials characterization for space instrumentation. She is actively involved in the ATHENA X-IFU mission, contributing to the development of the Cryogenic Anti-Coincidence Detector (CryoAC). Her work spans nanoscale materials, sensor optimization, and cryogenic systems. She teaches Physics modules for Naval Engineering and Physics Education with Lab for Mathematics Master's programs. Research highlights include structural analysis of iridium-based films for TES, development of large-area TES arrays, and cryogenic detector systems for astrophysical applications. Her recent publications emphasize interdisciplinary approaches in materials science and space instrumentation. She collaborates with international teams on projects like the ATHENA mission and spiderweb TES technology. No scientific awards are explicitly listed. Teaching responsibilities include foundational physics courses and advanced laboratory instruction. Her lab affiliations include DIFI and contributions to the ATHENA LSPE collaboration.
Flavio Gatti is a Full Professor at the Department of Physics (DIFI) of the University of Genoa. His research focuses on experimental particle physics, superconductivity, and advanced detector technologies. He contributes to major international experiments such as the MEG (Muon to Electron Gamma) collaboration and the ATHENA X-ray observatory. His work addresses fundamental questions in lepton flavor violation, neutrino physics, and astrophysical observations. He teaches courses including Physics and Technology of Space , General Physics with Lab , and Advanced Thermodynamics Lab for undergraduate and graduate programs in Physics and Chemistry. Office hours are held daily from 2-3 PM, requiring prior appointment via email. Research highlights include development of cryogenic detectors for the ATHENA X-IFU instrument and studies of superconducting materials for Transition Edge Sensors (TES). Current projects involve neutrino mass measurements and LFV muon decay investigations in the MEG II experiment. His technical contributions span detector design, cryogenic systems, and precision measurement techniques, with active participation in multidisciplinary collaborations across physics and engineering domains.
Mirko Mazzoleni is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. His research focuses on system identification, fault diagnosis, kernel methods, and Industry 4.0 applications. He holds a Master's in Computer Science Engineering (2014) and a Ph.D. in Engineering and Applied Sciences (2018). Before becoming an Associate Professor, he served as an Assistant Professor at the Control and Automation Laboratory (CAL) from 2019 to 2024. His work integrates data science, signal processing, and machine learning to develop robust algorithms for supervisory systems and fault detection in electromechanical actuators. Notable contributions include kernel-based identification methods, visualization tools for classification results (Confusion Star/Gear), and supervision frameworks for industrial equipment. He co-founded AISent srl, applying technological solutions to industry challenges. He teaches courses like Adaptive Learning and Estimation , System Identification , and Advanced Methods for Fault Diagnosis . His research spans aerospace applications (e.g., jamming detection in aircraft actuators), vibration signal analysis, and data-driven control strategies. Recent projects include robust filter design for electromechanical systems and guidelines for industrial supervision solutions.
Matteo Scandella is an Assistant Professor at the University of Bergamo , Italy, since February 2024. Previously, he served as a post-doctoral researcher at Imperial College London (2020–2024). He holds a PhD in Control Systems (2019) and advanced degrees in Computer Science Engineering from the University of Bergamo (Bachelor 2014, Master 2016). His research focuses on kernel-based machine learning techniques applied to system identification , nonlinear dynamics , and control systems , with emphasis on aerospace applications and mechatronics. He has developed methods for stable nonlinear system modeling, continuous-time system identification, and data-driven control strategies like SelfMPC. Education: Bachelor Degree in Computer Science Engineering (2014) – University of Bergamo Master Degree in Computer Science Engineering (2016) – University of Bergamo PhD in Control Systems (2019) – University of Bergamo Research interests span kernel methods (e.g., manifold regularization, RKHS), stability analysis of nonlinear systems, and data-driven control . His work bridges theoretical advancements with engineering applications such as health monitoring of aerospace actuators and urban traffic optimization. Recent publications highlight innovations in automated MPC tuning and graph-based system identification techniques. Teaching includes courses like Automatica (6 CFU) and laboratory modules in sustainable industrial systems. His research has been published in top journals like Automatica and conferences such as L4DC and SYSID.
Gianfranco Paterno is a Visiting Assistant Professor at the University of Ferrara, affiliated with the Department of Physics. His research focuses on medical physics, particle accelerators, radiation detection technologies, and wearable medical devices. He teaches Computational Methods for Medical Physics in the Master's program in Physics (LM-17). His work includes advancements in crystal-based detectors, energy-harvesting wearable systems, and radiation source development for medical and high-energy physics applications. Research Highlights: Development of crystal undulators and scintillator-based calorimeters. Pioneering studies on body heat energy harvesting via wearable devices. Simulations and experimental validation of radiation sources and particle interactions. Recent Publications (2022–2025): Focus on detector technology, medical imaging, and accelerator applications, with contributions to journals like Nuclear Instruments and Methods and Applied Sciences .
Pietro Baldelli is a Full Professor of Physiology at the Department of Experimental Medicine, University of Genoa, School of Medicine. He also serves as an Affiliated Researcher at the Center for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia, and at San Martino Polyclinic Hospital in Genoa. With a career spanning over three decades since graduating in Biological Science from the University of Genoa in 1992, Professor Baldelli has developed a strong biophysical and neurophysiological background with recognized expertise in neuronal excitability, synaptic transmission and plasticity, and research project management. Professor Baldelli's research interests focus on the molecular mechanisms underlying both physiological and pathological processes of neurotransmission and neuronal excitability. His work spans multiple scales, from single synaptic contacts to complex neuronal networks. He employs a variety of electrophysiological and functional imaging approaches, including patch-clamp and high-density multi-electrode array recordings combined with molecular and cellular biology techniques. His research has evolved to include significant contributions to neurotechnology development, particularly in optogenetics and novel recording systems. His publication record shows consistent productivity with research evolving from fundamental neurophysiology to innovative neurotechnology development. Recent publications (2016-2022) demonstrate a clear focus on developing new methodologies for neuronal stimulation and recording, with the Ziapin2 photoswitch representing a particularly innovative approach that avoids genetic modification of neurons. His work bridges basic neuroscience with potential clinical applications, particularly in understanding neurological disorders like autism and epilepsy. Functional characterization of synaptic transmission in autism and epilepsy models Study of intrinsic and synaptic homeostasis mechanisms Investigation of neurotrophins' role in synaptic function Development of engineered neuronal networks Analysis of molecular mechanisms of synaptic vesicle trafficking Innovation in neurotechnology including biosensors and recording systems Professor Baldelli teaches courses on Human Physiology, Neurophysiology, and Electrophysiological Technologies. His research group includes PhD students, postdoctoral researchers, and technical staff working collaboratively on interdisciplinary projects that integrate neuroscience, engineering, and molecular biology. The lab maintains strong connections with both academic and clinical institutions, facilitating translational research approaches.
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
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.
Carcaterra Antonio is a Full Professor at Sapienza University of Rome, specializing in control systems, robotics, and structural engineering. His research focuses on advanced control methodologies, nonlinear dynamics, and innovative applications in mechanical engineering. Key research areas include: vibration control, autonomous robotics, metamaterials, structural health monitoring, and energy harvesting systems. Recent projects involve developing novel algorithms for damage detection in infrastructure and optimizing gait patterns for quadruped robots. His work integrates machine learning techniques with traditional engineering principles, exemplified by projects like the SUNMARE marine vehicle and the Auto-sapiens autonomous driving system. He has pioneered methods for wave propagation analysis in nonlocal materials and developed adaptive control strategies for automotive suspensions. Notable contributions include the ADACTA damage detection technique and the VFC variational feedback controller. His research bridges theoretical developments with practical applications in transportation systems, environmental monitoring, and disaster response technologies.
Piergentili Fabrizio is a Full Professor at the Department of Industrial and Aeronautical Engineering, Sapienza University of Rome. His research focuses on space debris management, satellite technology, and advanced aerospace systems. He leads projects in CubeSat development, thermal protection systems, and space environment interaction studies. Key areas of research include optical tracking of space objects, CubeSat missions (e.g., LEDSAT, GreenCube), and space debris monitoring through networks like Sapienza Space Debris Observatory Network (SSON). Collaborations with ASI and INAF enhance his work on orbital dynamics and sustainability. His contributions span experimental platforms such as the ROMULUS balloon-borne receiver and the HORUS CubeSat mission for sub-kilometer remote sensing. He emphasizes hands-on education through student-led projects at Sapienza S5Lab, fostering innovation in small satellite systems and space exploration technologies.
Antonio Culla is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Sapienza University of Rome. His research focuses on structural health monitoring, vibration control, and nonlinear dynamics. He specializes in applying advanced analytical techniques to mechanical systems, robotics, and biomedical engineering. His work includes developing algorithms for damage detection in infrastructure and studying collective behavior in biological systems like bird flocks. Culla also explores energy harvesting from vibrations and acoustic optimization in aerospace structures. Key projects include the SUNMARE marine vehicle and OPTYRE tire performance analysis. His methodologies combine statistical energy analysis (SEA), machine learning, and experimental validation. He has contributed to interdisciplinary fields such as biomechanics, robotics, and materials science, with a strong emphasis on real-world applications in automotive, aerospace, and civil engineering sectors.
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.
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).
Alessandra Maria Bossi-Dep is a Full Professor in Analytical Chemistry at the University of Verona's Department of Biotechnology. She leads the Lab of Molecular Imprinting and Analytical Chemistry, specializing in molecularly imprinted polymers (MIPs), biomimetic materials, and their applications in biosensors and clinical diagnostics. Her research bridges analytical chemistry, biomaterials engineering, and protein imprinting. Roles & Affiliations: Group Leader of the Lab of Molecular Imprinting and Analytical Chemistry Member of the Faculty Board of PhD in Smart Agrifood Sciences Coordinator for Teaching Committees in Molecular and Medical Biotechnology Teaching: Teaches Functional Proteomics, Molecular Sensors, and Omics Sciences across multiple master's programs Focus on modules like "Molecular Sensors for Environmental/Industrial/Clinical Applications" and "Proteomics" Research: Expertise in MIP nanoparticles for selective recognition of biomolecules Development of biomimetic materials for diagnostic applications Projects include BIAS (biomaterial scaffolds) and nanoTRiCKS (cytokine trapping) Spin-offs & Collaborations: Associated with companies like Microbion S.r.l. and Genartis S.r.l. Focus on translating research into biomedical and environmental solutions
Roberto Fiammengo is an Associate Professor of Organic Chemistry at the University of Verona's Department of Biotechnology. His research focuses on the design of biofunctionalized nanomaterials for biomedical applications, including nanomedicine, bioimaging, and clinical diagnostics. He leads the 'Organic Chemistry and Nanobiointeractions' research group, investigating nanoparticle-biological system interactions and their exploitation in diagnostics and therapy. Education includes a PhD from the University of Twente and postdoctoral work at the University of Heidelberg and the Max Planck Institute for Intelligent Systems. He has held roles at the IIT Center for Biomolecular Nanotechnologies before joining the University of Verona in 2020. Recent projects include the EU-funded SynMech (mechanogenetic technology for brain connectivity) and DIRNANO (immune response modulation via nanomaterials). He teaches Organic Chemistry and biotechnology-related courses, including 'Synthesis of Bioactive Molecules' and 'Catalysis and Green Chemistry.' His research integrates organic synthesis, nanoparticle functionalization, and interdisciplinary collaboration to address challenges in targeted drug delivery, cancer vaccines, and biomarker detection. Collaborations include national and international partners in academia and industry.
