Prof. Roberto Montanari, a Full Professor at the University of Parma's Department of Systems Engineering and Industrial Technologies , has dedicated his career to advancing industrial engineering with a focus on supply chain logistics , food industry processes , and RFID technology . His work bridges simulation modeling and optimization for complex systems. PhD in Mechanical Engineering (University of Parma, 1999) Educational leadership in Industrial Plants , Food Industry Machinery , and Logistics Systems Research interests include logistics optimization , RFID-enabled supply chains , and food processing innovation . He pioneered ant colony algorithms for warehouse routing and CFD simulations for mixer design. His work spans WEEE management , food waste valorization , and smart city logistics . His 15+ recent publications demonstrate expertise in warehouse automation, perishable inventory control, and sustainable systems. Awards include BEST PAPER AWARD (MAS 2012) and XXI Summer School 'Francesco Turco' recognition. Director of interdepartmental center CIPACK (2014–present) Co-founder of academic spin-off FMB Engineering Innovation Erasmus+ Rector's Delegate (2018–present)
Nicola Frega is a full-time Researcher at the Department of Mechanical, Energy and Management Engineering of the University of Calabria (UniCal). His career spans over three decades, focusing on digital transformation in economic, organizational, and technological domains. Graduated summa cum laude in Computer Engineering from UniCal (1991) PhD in Computer Engineering (MURST, 9th cycle) Held a Research Grant (ING-IND/35) at DEIS-UniCal (1999-2002) His research interests include: Digital transformation in public administration and business Agri-food system innovation Social media and multichannel communication Smart technologies for NFC/QRCode applications Collaborative networks for sustainability Recent publications (2013-2025) emphasize: Systematic analysis of Cultural Industries 4.0 Mobile-based services in agri-food chains Collaborative platforms for food awareness Smart parking systems using NFC technology Scientific achievements: 1992: BULL HN Sud Degree Award Multiple EU-funded research projects (DIRECT-FOOD, HERAKLES, etc.) Teaching activities since 1992: Taught modules in Information Systems, Digital Services, and e-Economy Collaborated in exam commissions for Computer and Management Engineering Active in the GIUDA Lab , focusing on: Collaborative knowledge management Digital process automation ICT for organizational governance
Alberto Michele FELICETTI is a researcher at the University of Calabria , affiliated with the Department of Mechanical, Energy and Management Engineering . His work focuses on digital transformation , innovation management , and project management within entrepreneurial and academic contexts. Current research explores generative AI adoption in innovation management, antifragility in startups , and digitalisation of cultural industries . He contributes to the Ingegneria Economico-Gestionale research group, which operates two labs: Imprenditorialità e Organizzazione di impresa (EBA) and ICT e gestione dell’Informazione nelle organizzazioni (GIUDA) . Recent publications analyze topics like AI in project management , stakeholder engagement networks , and human resources well-being in startups . His work bridges economic engineering with digital transition in both private and public sectors.
Daniele Menniti is an Associate Professor at the Department of Mechanical, Energy and Management Engineering of the University of Calabria. His expertise spans electric power system analysis, real-time control, and automation, with focus on harmonic pollution in distribution networks and decentralized control strategies for power system stabilization. He actively contributes to research in smart grids, microgrids, and renewable energy integration. Research Interests: Power systems security, FACTS devices, demand response, energy communities, voltage control, and renewable energy market models. Leadership: Head of research units for funded projects like RES NOVAE (€23M), SCADA (PON01_02582), and renewable energy programs. Publications: Over 250 research products, including recent work on DC nanogrids, prosumer aggregation, and renewable energy communities. Labs: Leads LASEER (Laboratory of Electrical Systems for Energy and Renewables) at University of Calabria.
Alain Goriely is a mathematician currently serving as the Statutory Professor of Mathematical Modelling at the University of Oxford and Director of the Oxford Centre for Industrial and Applied Mathematics. He also holds the Gresham Professorship of Geometry since 2024, delivering public lectures on topics like biological growth and mechanics. His research spans applied mathematics, dynamical systems, and interdisciplinary problems in biology and neuroscience. PhD from University of Brussels (1994) Lecturer at University of Brussels (1994-1996) Research group founder at University of Arizona (1996-2010) Statutory Professor at University of Oxford (2010-present) Gresham Professor of Geometry (2024-present) His scientific outreach explores phenomena such as plant tendril mechanics, brain folding, and seashell geometry, documented in works like The Mathematics and Mechanics of Biological Growth (2017) and A Very Short Introduction to Applied Mathematics (2017). Sloan Fellowship Royal Society Wolfson Research Award Cozzarelli Prize (National Academy of Sciences) Engineering Medal (Society of Engineering Sciences) Fellow of the Royal Society (2022) As Director of the Oxford Centre for Industrial and Applied Mathematics, Goriely leads a team advancing mathematical applications in biology, medicine, and physical systems. Upcoming lectures (2025-2026) will further explore geometric patterns in nature, from hands to gravity to knots.
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.
