Prof. Alessandra Papetti is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences (DIISM) of Marche Polytechnic University , Italy. Her research focuses on human-centered design in industrial contexts, with a strong emphasis on ergonomics, wearable technology, and smart manufacturing systems. Key research areas: Industrial Engineering, Human-Robot Interaction, Stress Detection, Mixed Reality Applications Recent work trends: Integration of sensor-based ergonomic risk assessment, deep learning for posture classification, and validation of exoskeletons in real industrial settings Her publications highlight innovative methods for improving workplace sustainability through collaborative robotics, immersive training systems, and multisensory stress monitoring platforms. Current projects address human factors in Industry 4.0 transitions, particularly in luxury footwear manufacturing and waste management sectors.
Franco Tomarelli is a Full Professor at the Department of Mathematics, Polytechnic University of Milan , with a focus on Calculus of Variations, Differential Equations, and Applied Mathematics . His research explores mathematical modeling of discontinuous structures , multi-scale problems , and materials science through variational methods and geometric measure theory. Books Authored : Complex Analysis, Transforms, and Differential Equations (2023), Variational Problems in Materials Science (2006). His publications address advanced mathematical techniques for boundary value problems , distributions , and engineering applications . He contributes to academic dissemination through the Milan Journal of Mathematics and workshops like VARMET2001 . No explicit awards, students, or lab affiliations are mentioned in the provided texts.
Dr. Ciro Cecconi is an Associate Professor at the University of Modena and Reggio Emilia , affiliated with the Department of Physical, Computer and Mathematical Sciences (formerly the Physics Campus). His academic work spans biophysics, medical physics, and interdisciplinary education, with courses in biological physics, biochemistry, and physiology for biomedical degrees. His research focuses on biological physics (e.g., lipid bilayer mechanics, protein folding, cellular thermodynamics) and medical physics (e.g., X-ray applications, hemodynamics). Teaching modules emphasize applied physics in pharmacy, medicine, nursing, and physiotherapy, with laboratory components in advanced biophysics courses. Key themes include intermolecular forces , mechanobiology , and statistical fluctuations in biological systems. He employs English texts in teaching to foster international learning.
Simona Fornaro is an Associate Professor of Mathematical Analysis at the University of Pavia , affiliated with the Department of Mathematics under the College of Engineering . Her research focuses on Partial Differential Equations and Applied Mathematics , particularly in elliptic and parabolic problems with unbounded coefficients . Educational Roles Teaching Mathematical Analysis 1 for Electronic and Computer Engineering (2019/2020) Instructing Complementi di Analisi Matematica for Civil Engineering (2017/2018) Research Interests Specializes in gradient estimates , degenerate operators , and singular parabolic equations . Key areas: Partial Differential Equations , Functional Analysis , and Nonlinear Analysis . Publications Contributed to 15+ peer-reviewed journals , including Journal of Differential Equations , Studia Mathematica , and Discrete and Continuous Dynamical Systems . Recent work includes Lp-theory for degenerate operators , Harnack inequalities , and measure-valued solutions . Contact & Office Office: Room C23, Department of Mathematics, University of Pavia Email: simona.fornaro@unipv.it Phone: +39 0382 98.5691 Fax: +39 0382 98.5602
Alessandro Biondi serves as Associate Professor of Computer Engineering at the Scuola Superiore Sant'Anna in Pisa, Italy, where he conducts research at the Real-Time Systems (ReTiS) Laboratory. His expertise centers on real-time, safe, and secure cyber-physical systems with critical applications in automotive and railway domains. His academic credentials include: Computer Engineering degree, cum laude , University of Pisa (within excellence program) PhD in Emerging Digital Technologies (Embedded Systems curriculum), cum laude , Scuola Superiore Sant'Anna (2017) Biondi's research spans real-time systems design, operating systems, hypervisors, synchronization protocols, embedded optimization, and formal scheduling analysis. His work bridges theoretical foundations with industrial implementation, emphasizing safety and security for mission-critical infrastructure through rigorous mathematical modeling and practical system development. Recent publications (2023-2025) demonstrate concentrated advancements in real-time scheduling optimization, memory management for safety-critical systems, and adversarial defense mechanisms in vision applications. Key trends include deterministic communication protocols for AUTOSAR, end-to-end latency minimization in distributed systems, and hardware-aware security solutions for heterogeneous SoCs, reflecting strong industry-academia collaboration. His scientific contributions have earned significant recognition: ACM SIGBED Early Career Award (2019) IEEE TCCPS Early Career Award (2023) Six Best Paper Awards Best Journal Paper Award (IEEE Transactions on Industrial Informatics) EDAA Outstanding Dissertation Award (2017) Additional honors: Outstanding Paper Award, Best Presentation Award, Best Paper Nomination Biondi leads industrial research projects for automotive and railway safety-critical systems while participating in European Commission-funded initiatives. He co-founded spin-offs Accelerat (specializing in predictable cyber-physical systems) and Wriggle Solutions (acquired IP for real-time tire monitoring), demonstrating his commitment to translating research into commercial solutions. His editorial service includes Associate Editor roles for IEEE TETC, Journal of Real-Time Systems, and LITES. As a core member of the ReTiS Laboratory, Biondi collaborates within a high-impact research ecosystem focused on advancing real-time computing theory and practice. The lab maintains deep industry partnerships and drives innovation in scheduling algorithms, security protocols, and optimization techniques for next-generation embedded platforms.
Marina Indri is a Tenured Associate Professor in the Department of Electronics and Telecommunications at Politecnico di Torino, Italy. She serves as a member of the Interdepartmental Center PIC4SeR for Service Robotics and chairs the Robotics Laboratory (1999–present). With over 100 publications, her work bridges industrial robotics , mobile robotics , and Industry 4.0 . Education: Laurea (Electronic Engineering, cum laude , 1991) Ph.D. (Systems Engineering, 1995) Research Interests: Specializing in Collision detection and avoidance for industrial manipulators Friction modeling and compensation Path planning and autonomous navigation Smart manufacturing systems Human-robot collaboration Awards: James C. Hung Best Paper Award (ETFA 2013, 2024) euRobotics Technology Transfer Prize (2014, 2017) Leadership: As IEEE Senior Member , she chairs the IEEE Industrial Electronics Society’s Factory Automation Technical Committee and serves on editorial boards for IEEE Transactions on Industrial Informatics and IEEE/ASME Transactions on Mechatronics . She leads projects like SpaceItUp! (space robotics) and PNRR FAIR (AI-driven manufacturing).
Dr. Mihai Teodor Lazarescu is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino , where he contributes to research and teaching activities. He is also a member of the PolitoBIOMed Lab (Biomedical Engineering Lab) and the Ambient Sensing and Processing research group. Scientific Affiliation: IEEE Member (2019-present) Editorial Roles: Guest Editor for SENSORS, ELECTRONICS, and ACM Transactions on Embedded Computing Systems His research interests focus on hardware acceleration for machine learning algorithms, particularly using FPGAs for data center and embedded applications. He works on high-level synthesis optimization flows, capacitive sensor design for indoor monitoring, and low-power embedded systems . His work intersects Internet of Things , Wireless Sensor Networks , and Machine Learning with applications in human localization, environmental monitoring, and industrial automation. Recent publications demonstrate expertise in neural network optimization , DSP resource sharing , and multi-FPGA allocation . His teaching spans Applied Electronics , Digital Electronic Design , and Embedded Systems Optimization across bachelor's and master's programs in Electronic Engineering and Computer Engineering . Patents: Noise cancellation for single-plate capacitive sensors Capacitive sensor for space change detection Projects: Scientific Manager for Horizon 2020-S2RJU project (2018)
Paolo Manfredi is a Full Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy. He actively contributes to the EMC Group (Electromagnetic Compatibility) and serves as an Associate Editor for journals including IEEE Journal on Multiscale and Multiphysics Computational Techniques and International Journal of Circuit Theory and Applications. His research focuses on uncertainty quantification in circuits, surrogate modeling , machine learning applications, and signal integrity analysis . He leads projects on compact dynamical modeling of complex systems and stochastic analysis of interconnects. Recent publications highlight advancements in active learning for PCB line uncertainty quantification, connector degradation impacts on microwave signals , and SPICE-compliant IC model compression , reflecting his expertise at the intersection of electrical engineering and data science . Scientific Awards: Best Paper Award EPEPS (2010, 2013) Premio Optime (2010) URSI Young Scientist Award (2011) Honorable Mention - IMS (2011) He supervises PhD students in projects spanning 5G/6G metasurfaces , power cable corrosion assessment , and neural network applications in circuit design.
Kristen Mariko Meiburger is an Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. She is a member of the PolitoBIOMed Lab , focusing on biomedical engineering research. Research Interests: Medical image processing, photoacoustic imaging, ultrasound technologies, and AI-driven diagnostic systems. Her work bridges industrial and information engineering with clinical applications. Recent Publications highlight advancements in photoacoustic uncertainty quantification, high-frequency vascular imaging, machine learning for muscular dystrophy analysis, and optoacoustic/ultrasound reconstruction techniques. Scientific Awards: Premio di Laurea GNB (2011) Premio di Qualità (2014) Key Projects: ImPACT-AI (2023-2025) AI-VASCUES (2023-2025) REAP (2021-2024) H2020-ICT (EU-funded) PhD Students: Bruna Cotrufo, Alen Shahini, Federico Sinnona, Matteo Salvi, Giulia Rotunno, Francesco Branciforti, Francesco Marzola.
Eros Gian Alessandro Pasero is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino , and a member of the PolitoBIOMed Lab (Biomedical Engineering). He has held visiting Associate Professor roles at institutions including Tongji University and Turin Polytechnic University in Tashkent. His research spans artificial neural networks , medical image processing , and wearable devices , with applications in cardiology, industrial optimization, and environmental monitoring. His work focuses on ECG signal analysis for Brugada syndrome risk stratification, deep learning for biological imaging, LSTM models for photovoltaic forecasting, and transformer architectures in clinical diagnostics. He has pioneered the G-EXIN neural network for nonstationary data and Mini Green Radio Sonde for atmospheric sensing. Scientific Awards : Four Design-In Awards , Premio Innova S@alute2017 (TEVA), and President of SIREN (Italian Society of Neuronic Networks) since 2014. Research Projects : MUSMET (2024-2028): Musical Metaverse innovation lab via EU-EIC. ENTWINED (2023-2025): Neural digital twins for electrical drives. BrS-AI-ECG (2021-2024): AI in Brugada diagnostics (ERC). Patents : Inclusive sound card, wearable ECG device, and radio sonde technologies.
Fabrizio Riente is a Fixed-term Researcher at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino. He holds academic responsibilities in multiple programs and contributes to editorial and conference committees. Member of College of Electronic, Telecommunications and Physics Engineering Invited Member of College of Computer, Film, and Mechatronics Engineering His research spans Nanocomputing , Quantum Technologies , and Machine Learning for environmental and healthcare applications, with a focus on: Qubit Control & Readout Systems IoT for Bee Health Monitoring 3D Audio-Visual Reproduction for Hearing Research Hybrid Simulation and Emerging Nanotechnologies Low-Power Electronic Systems His recent publications demonstrate interdisciplinary work bridging Quantum Electronics and Acoustic Ecology , particularly in developing VLSI architectures for novel applications. Notable scientific awards include Associate Editorship at Frontiers in Electronics and program committee roles at international conferences. He supervises PhD students in Quantum Engineering and Electronic Engineering , directing research projects funded by commercial contracts on quantum architectures and automotive technologies. His teaching portfolio includes courses on Microelectronic Systems and Low-Power Electronics .
Massimo Ruo Roch serves as an Associate Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, Italy. His academic appointment falls under the scientific disciplinary sector IINF-01/A - Electronics within Area 0009 - Industrial and Information Engineering. His research spans multiple cutting-edge domains including Artificial Intelligence, Internet of Things, Energy Efficiency, Smart Cities, Logic in Memory, and Nanomagnetics . His work aligns with several European Research Council sectors including Micro- and nano-systems engineering, Artificial intelligence, Computer architecture, and Distributed systems. Ruo Roch leads the VLSILAB research group and has developed significant expertise in smart embedded systems for lighting and IoT applications, as well as agritech with autonomous robot systems for grape harvesting. His publication record demonstrates consistent contributions to low-power computing, magnetic logic circuits, and error correction techniques dating back to the late 1990s. Among his notable recognitions are the National Innovation Award (2013) and the prestigious Prize of Prizes (2014) conferred by the President of the Italian Republic through the National Foundation for Technological Innovation COTEC. He actively supervises doctoral candidates including Fabrizio Mo (working on Molecular Sensors at the Nanoscale) and Andrea Mongardi (researching Bio-inspired sEMG-based embedded systems). His research portfolio includes multiple commercial contracts and patents related to test systems, data-driven architectures, and intelligent lighting devices.
Antonio Frisoli is a Full Professor of Engineering Mechanics and Robotics at Sant'Anna School of Advanced Studies, where he leads the Human-Robot Interaction area at the Institute of Mechanical Intelligence. He serves as President of Artes4.0, the Italian National Competence Center on Robotics and Industry 4.0, and holds editorial roles including Associate Editor for IEEE Robotics Automation Magazine. His educational background includes: PhD with honors in Industrial and Information Engineering from Scuola Superiore Sant'Anna (2002) MSc in Mechanical Engineering, minor Robotics, from University of Pisa (1998) MSc in Industrial Engineering from Scuola Superiore Sant'Anna (1998) as an honor student Professor Frisoli's research spans collaborative robotics, rehabilitation robotics, wearable robotics and exoskeletons, multimodal interaction and haptics, wearable devices, and virtual reality. His work leverages expertise in human perception biomechanics to develop advanced haptic devices and robotic systems for rehabilitation, teleoperation, and virtual environments, with significant focus on clinical applications for stroke rehabilitation and orthopedic recovery. Analysis of his recent publications reveals strong emphasis on haptic interface innovation, exoskeleton optimization, and human-robot collaboration. Key trends include wearable haptic gloves for remote interaction, musculoskeletal modeling for rehabilitation exosuits, running efficiency enhancement through hip exoskeletons, and tele-echography systems resilient to time delays, demonstrating consistent translation of theoretical research into practical applications. Professor Frisoli actively drives technology transfer through co-founding two spin-off ventures: Wearable Robotics srl: A market leader in exoskeleton technology Next Generation Robotics srl: Specializing in robotic solutions for railway systems He directs the Human-Robot Interaction research group within PERCRO (Perceptual Robotics Laboratory), which maintains deep expertise in psychophysics of human perception and biomechanics. The group develops force feedback exoskeletons, large workspace haptic devices, and virtual reality systems for applications ranging from telepresence to clinical rehabilitation, with ongoing projects enhancing stroke therapy through robotic supplementation of traditional one-to-one treatment.
Laura Carnevali is an Associate Professor of Computer Science at the Department of Information Engineering, University of Florence, where she leads research in formal methods and performance evaluation as a member of the Software Technologies Lab. She teaches Software Engineering for Embedded Systems, Quantitative Evaluation of Stochastic Models, and Foundations of Computer Programming at the School of Engineering. Her research focuses on formal methods for real-time software development and performance evaluation of non-Markovian models, with significant contributions to the ORIS Tool for quantitative system analysis. Key areas include: Stochastic modeling of critical infrastructure Formal verification of real-time systems Reliability engineering methodologies Performance evaluation of cyber-physical systems Her publications show strong emphasis on applied formal methods, with recent work focusing on workflow analysis, infrastructure reliability, and transportation systems modeling. Research consistently integrates theoretical frameworks with practical applications in engineering domains. Awards include: Best Paper Award at ICPE 2021 She actively contributes to academic service as program committee member for leading conferences including FORMATS, QEST, and EPEW, and serves as reviewer for IEEE Transactions on Software Engineering, Reliability, and other prestigious journals.
Rosario Milazzo is a PhD candidate (2022-2025) in Computer and Systems Engineering at the Department of Control and Computer Engineering (DAUIN), Polytechnic University of Turin, concurrently serving as an external lecturer and teaching assistant for Innovation Management and ICT Product Development in Management Engineering. His research centers on developing robust deep neural networks resilient to transient faults like radiation-induced errors in satellite and automotive systems. He earned Bachelor's (2020) and Master's (2022) degrees in Computer Engineering from the same institution, joining the GRAINS research group as a scholarship holder before commencing his NODES-funded PhD under advisors Lia Morra, Sophie Fosson, and Luca Sterpone. Research focuses on Artificial Intelligence with specialization in Computer Vision and fault-tolerant deep learning for critical infrastructure. His work integrates self-supervised learning, quantization, and architectural innovations to maintain accuracy/efficiency under hardware-induced faults in space and mobility applications, addressing real-world reliability challenges. Publication analysis (2020-2025) reveals a progression from agricultural photogrammetry to cutting-edge fault-tolerant AI, with recent works emphasizing medical imaging (mammography), satellite systems, and weather-event mitigation through graph/transformer architectures and self-supervised techniques. Funded by NODES (North West Digital and Sustainable), Milazzo contributes to the GRAINS research group's mission without current advisees. His scholarship position since 2022 supports collaborative development of intelligent systems for high-stakes environments. As a GRAINS (GRAphics and INtelligent Systems) member, he operates within a specialized environment advancing graphics, computer vision, and robust AI deployment, directly enabling his investigations into neural network resilience for satellite and automotive domains.
