Giusy Macrina is a Researcher at the Department of Mechanical, Energy and Management Engineering (University of Calabria, Italy). Her work focuses on Operations Research and Machine Learning applications to complex logistics and transportation problems. Specializes in Vehicle Routing Problems with drones and crowd-shipping Develops hybrid algorithms combining mathematical optimization and artificial intelligence Active in green logistics and sustainable transport systems Collaborates with international institutions like Amazon Her research spans smart mobility , energy-efficient delivery systems , and IoT localization challenges . Recent publications demonstrate her focus on integrating machine learning into traditional optimization problems . She teaches courses in Management Engineering , including Methods and Tools for Engineering and Production Management and Control at the graduate level. Her work addresses both static and dynamic optimization challenges in logistics and energy systems.
Fabio Palomba is an Associate Professor at the Department of Computer Science , University of Salerno, Italy. He earned a European PhD in Management & Information Technology (2017), funded by University of Salerno and University of Molise, under advisor Prof. Andrea De Lucia. His research spans software maintenance and evolution , empirical software engineering , and ML systems quality . Recipient of IEEE Computer Society Best PhD Thesis Award (2017) Multiple Distinguished Paper Awards from ACM/SIGSOFT and IEEE/TCSE Recipient of prestigious SNSF Ambizione grant (2019) and IEEE Rising Star Award (2023) His work investigates fairness-aware practices in ML , technical debt in AI systems , and LLM applications in software engineering . Recent studies focus on automated requirements generation via RECOVER, quantum software engineering , and socio-technical community smells in ML-enabled systems, with empirical analyses across large datasets. Key editorial roles include Elsevier's Information and Software Technology Journal (2022-), Springer's Empirical Software Engineering Journal (2021-), and IEEE Transactions on Software Engineering (2020-). He has served as program co-chair for SANER 2024 , ICPC 2021 , and multiple conference tracks. 16 Distinguished Reviewer Awards for his refereeing work Co-authored 80+ journal papers , 100+ conference papers , and advised 300+ theses
Roberto Iuppa is an Associate Professor at the Department of Physics, University of Trento. His research focuses on particle physics, astroparticle physics, and high-energy collider experiments, with significant contributions to the ATLAS experiment at CERN's LHC. He leads studies on Higgs boson physics, dark matter candidates, and quantum chromodynamics phenomena. His work includes developing detectors like the High-Energy Particle Detector (HEPD) for space-based missions such as CSES-02, and analyzing gravitational wave astronomy via multimessenger observations. Academic roles include teaching advanced courses on particle physics, gravitational wave astronomy, and the interdisciplinary history of physics and mathematics. His experimental work emphasizes precision measurements in top quark interactions, vector boson scattering, and searches for beyond-Standard-Model particles such as vector-like leptons and magnetic monopoles. Recent projects involve analyzing 13 TeV proton-proton collision data from the LHC and advancing detector technologies for future high-luminosity runs. Key research areas: Collider physics, detector development, dark matter, and space-based astrophysics Lead responsibilities: ATLAS collaboration physics analysis, HEPD satellite instrumentation Notable contributions: Over 50 peer-reviewed articles in 2024-2025 alone, focusing on precision Higgs measurements and new physics searches His teaching integrates computational methods with physics fundamentals, preparing students for interdisciplinary work in machine learning for data analysis and quantum computing applications in physics simulations.
Riccardo Nicolaidis is a PhD student in Physics and a Tutor at the Department of Civil, Environmental and Mechanical Engineering, University of Trento. He contributes to interdisciplinary teaching in the Department of Information Engineering and Computer Science, focusing on physics fundamentals and their integration with computer science applications such as machine learning for data analysis and computational quantum mechanics. Key Research Areas: Particle Astrophysics, Cosmic Rays, Space-based Detectors (e.g., HEPD-01, Alpha Magnetic Spectrometer), Solar Energetic Particles, and Nuclear Physics. His work includes analyzing cosmic radiation using detectors on satellites like CSES-01 and CSES-02, studying solar cycle effects on cosmic nuclei, and developing compact particle detectors for space missions like NUSES. He collaborates with institutions on projects involving scintillation counters, gamma-ray burst analysis, and low-energy particle observations.
Maurizio Rebaudengo is a Full Professor at the Department of Control and Computer Science (DAUIN) of the Polytechnic University of Turin. He is a member of the PIC4SeR Interdepartmental Center for Service Robotics and holds expertise in embedded systems, fault tolerance, and sensor network applications. Research Interests: Embedded systems, fault tolerance, precision agriculture, RFID technology, wireless sensor networks, and system dependability Scientific Awards: Ramamoorthy Best Paper Award (1997) Leadership Roles: Program Chair for the 4th International EURASIP Workshop on RFID, Committee Member for Public Administration Agreements (2020-2024) Projects: Scientific Director for HONEY (Hybrid ONline tEchnologY for particle therapy), FDM (Food Digital Monitoring), IDEM (Internet of Data for Environmental Monitoring), and OPLON (Healthy Longevity Opportunities). Teaching: Course lecturer for Electronic Calculators, Computer Science, Systems Programming, and Cybersecurity at both undergraduate and postgraduate levels. His work spans IoT applications in agriculture and healthcare, focusing on low-cost sensor networks , RFID-based traceability , and cyber-physical system resilience . Recent publications emphasize particulate matter monitoring and secure communication protocols in wireless environments.
Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.
Giorgio Taricco is a Full Professor at the Department of Electronics and Telecommunications (DET) of Polytechnic University of Turin. His research focuses on 6G communications, information theory, and MIMO systems, with expertise spanning telecommunications, signal processing, and wireless communication. He leads the Advanced techniques for digital transmission (CommGroup) research group and has been a Scientific Responsible for multiple projects, including EU-funded MASCOT and HICCUP, and commercial contracts like JEANS and NEXT GEN DATALINK. Research Interests: 6G networks, MIMO systems, information theory, satellite communication, energy-efficient coding Notable Projects: MASCOT (2006-2009), HICCUP (2002-2003), JEANS (2022-2024), WORK ITEM 4.4 (2024-2025) His recent publications analyze secrecy energy efficiency in metasurface-aided networks, IRS-NOMA for integrated sensing, and advanced precoding techniques, reflecting trends in wireless security and next-generation communication systems. As an IEEE Fellow since 2010, he contributes to editorial boards, including Entropy (2025-). He supervises PhD students like Agbotiname Lucky Imoize and Aysegul Ilay Tunali, integrating education with cutting-edge research in telecommunications.
Renato Ferrero is an Associate Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino (Polito) , with key roles as contact person for training activities and member of the PIC4SeR Interdepartmental Center for Service Robotics . His research spans Wireless Sensor Networks (WSN) , Internet of Things (IoT) , and Environmental Monitoring , supported by competitive grants like AGRITech Spoke 6 (2022-2025) and MIUR funding (2017). He has published extensively on topics including air pollution monitoring , quantum-inspired security , and agricultural technology , with recent work focusing on deep learning for mask/respirator detection and biofertilizer analysis . As an IEEE Access Associate Editor and program committee member for conferences like COMPSAC and RFID-TA, he contributes to academic governance. His teaching includes Computer Architecture (2019-2025) and Ubiquitous Computing (2019-2021) at Polito. He advises PhD students Chiara Panico and Nicola Dilillo , with projects in Data Science , Computer Vision , and AI Life Sciences .
Fabrizio Durante is a Full Professor of Probability and Mathematical Statistics at the University of Salento, Department of Mathematics and Physics "Ennio De Giorgi" in Lecce, Italy. Previously, he served as Full Professor of Mathematical Methods for Economics, Finance, and Actuarial Sciences from December 2016 to October 2024. Durante earned his PhD in Mathematics from the University of Lecce and completed his Habilitation in Mathematics at Johannes Kepler University of Linz in 2010. His academic career includes positions as Assistant Professor (2010-2014) and Associate Professor (2015-2016) of Statistics at the Free University of Bozen-Bolzano. His research focuses on stochastic methods and models for complex systems and machine learning, with significant applications in quantitative risk management across hydrology, environmental sciences, economics, and finance. Durante is particularly renowned for his contributions to copula theory, co-authoring the monograph "Principles of Copula Theory" with Carlo Sempi. Durante currently serves as national coordinator of the Italian MIUR project "Stochastic Modeling of Compound Events" (2023-25) and is affiliated with the ICSC National Research Center in High Performance Computing, Big Data and Quantum Computing. STAHY Best Paper Award 2015 from the International Commission on Statistical Hydrology (jointly with G. Salvadori and C. De Michele) Durante maintains significant editorial responsibilities as associate editor of "Dependence Modeling" and area editor of "Fuzzy Sets & Systems" and the "International Journal of Approximate Reasoning." He is co-chair of the "Dependence Models and Copulas" team of the ERCIM Working Group on Computational and Methodological Statistics. His expertise is regularly sought as an invited plenary speaker at international conferences in stochastic methods and dependence modeling.
Giuseppe De Luca is a Research Fellow at the Department of Physics and Chemistry - Emilio Segrè, University of Palermo. His work spans interdisciplinary domains including theoretical physics, biophysics, machine learning, and social dynamics. Research Themes : Model averaging techniques, liquid-liquid phase separation, quantum complexity, holography, and social exclusion effects in education. Methodologies : Bayesian inference, multiscale analysis, and machine learning optimization. Recent publications focus on weighted-average least squares estimation, structural degradation in biomaterials, and virtual reality applications in psychological research. He contributes to the SHARE project with statistical expertise in survey weighting and imputation strategies.
Rosario Iaria serves as an Associate Professor in the Department of Physics and Chemistry at the University of Palermo, Italy, where he maintains active teaching and research responsibilities. His academic profile demonstrates continuous engagement with the university since at least 2011, teaching specialized courses including High Energies Astrophysics with Laboratory and Planetary Volcanism across Physics and Georisks programs. His research expertise spans several critical domains in modern astrophysics: High energy phenomena in X-ray binary systems Neutron star physics and accretion processes Cyclotron line formation and variability in pulsars Time-domain analysis of transient cosmic events Development of machine learning techniques for X-ray spectral analysis Multi-messenger approaches to gamma-ray burst studies Analysis of his recent publications (2024-2025) reveals a strong methodological focus on spectral and timing techniques applied to extreme astrophysical environments. His work frequently utilizes data from major observatories including NICER, NuSTAR, XMM-Newton, and Fermi, with particular emphasis on orbital dynamics in X-ray binaries, cyclotron line physics, and reflection spectroscopy in compact object systems. Dr. Iaria's contributions extend to instrumental development projects such as HERMES (Gamma-ray burst and gravitational wave counterpart hunter) and theoretical investigations into quantum gravity phenomena. His research bridges observational data analysis with theoretical modeling, advancing our understanding of matter under extreme gravitational and magnetic fields.
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.
Christian Circi is an Associate Professor of Flight Mechanics at the Department of Astronautical, Electrical, and Energy Engineering, Sapienza University of Rome. He has held this position while actively contributing to space research and education in Italy's premier academic institution. Dr. Circi earned his Bachelor of Science and Master of Science in Aeronautical Engineering, followed by a Master of Science in Aerospace Engineering, and ultimately his PhD in Aerospace Engineering, all from Sapienza University of Rome. His educational background provided the foundation for his specialization in space mission design and orbital mechanics. His primary research focuses on orbital mechanics , with particular expertise in third-body perturbations , interplanetary and lunar trajectories , solar sails , orbits for planetary observation , and launch vehicle ascent trajectories . Dr. Circi's work bridges theoretical celestial mechanics with practical space mission applications, making significant contributions to the understanding of complex orbital dynamics in multi-body systems. Analysis of Dr. Circi's recent publications reveals a strong emphasis on solar sail technology, particularly the Helianthus mission, as well as innovative approaches to orbit design for lunar and planetary exploration. His work increasingly incorporates quantum-inspired optimization techniques and machine learning applications to traditional astrodynamics problems, demonstrating adaptability to emerging computational methodologies. Dr. Circi serves as the scientific director of the Italian Space Agency's "Research and Development on Photonic Solar Propulsion" project, demonstrating leadership in cutting-edge propulsion research. He has also been actively involved in consulting for both public and private space sector organizations. At Sapienza University of Rome, Dr. Circi teaches "Interplanetary Trajectories" and "Launcher Flight Mechanics" in the Master's Degree program in Space and Astronautical Engineering, as well as the second-level Master's program in "Space Transportation Systems." His teaching directly reflects his research expertise, providing students with practical knowledge of space mission design. Dr. Circi has authored 153 scientific articles throughout his career and serves as Associate Editor for several prestigious journals including "Aerospace Science and Technology," "International Journal of Aerospace Engineering," "Astrodynamics," and "Space: Science & Technology," indicating his standing within the international space research community.
