Find Academic Supervisors

• Computational mechanics
• Load identification
• Shape sensing
• +4 more

Marco Esposito is a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin. He is affiliated with the College of Mechanical, Aerospace, and Automotive Engineering and actively participates in the AESDO (Aircraft and Engine Structural Design and Optimization) research group. His primary contact is marco.esposito@polito.it . Dr. Esposito's research centers on Computational mechanics, Load identification, Shape sensing, and Structural health monitoring, with specific applications to aerospace structures. His work bridges theoretical developments in computational mechanics with practical structural monitoring solutions for aircraft and spacecraft components. He has developed innovative approaches for shape sensing using the inverse Finite Element Method (iFEM), including single-sensor configurations and hybrid shell-beam formulations that enable accurate structural deformation monitoring with minimal sensor requirements. His recent publications reveal a strong focus on practical applications of shape sensing technology, particularly for composite aerospace structures like wing panels and stiffened structures. The research demonstrates a progression from theoretical formulations to experimental validation, with increasing sophistication in handling complex structural geometries and sensor configurations. Much of this work contributes to the development of the DIMOSS (DISPLACEMENT MONITORING USING STRAIN SENSORS) software platform. Dr. Esposito supervises PhD students including Vincenzo Biscotti (researching Shape sensing and Structural Health Monitoring approaches for aerospace Digital Twin applications) and Alessio Galfione (researching Shape reconstruction of space structures from strain measurements). He serves as Scientific Manager for the DIMOSS project (2024-2025), which has resulted in patented software for structural monitoring. Within the academic community, he teaches advanced courses on the finite element method at PhD level and contributes to various aerospace engineering programs at Master's and Bachelor's levels, covering topics from structural mechanics to aeronautical structures and aerospace technologies.

Stanislao GraziosoView profile

Assistant Professor

• Soft Robotics
• Nonlinear Modeling
• Bio-inspired Design
• +4 more

Stanislao Grazioso serves as Assistant Professor in the Department of Industrial Engineering at the University of Naples Federico II (UNINA), where he leads the BIOIC (Bioinspired soft robotic systems for cognitive production) project. His work focuses on transforming manufacturing through soft robotic technologies, with expertise spanning design, modeling, and control of compliant robotic systems for industrial and biomedical applications. Education: Bachelor of Science in Mechanical Engineering, University of Naples Federico II Master of Science in Mechanical Engineering, University of Naples Federico II Ph.D. in Industrial Engineering, University of Naples Federico II (2018), specializing in soft robotics Research Focus: Dr. Grazioso investigates the entire soft robot development lifecycle, emphasizing innovative design concepts for variable-stiffness actuators, advanced modeling using Cosserat rod theory and finite element methods, and human-robot interaction for safe collaboration. His research platforms include soft grippers for agrifood automation, continuum manipulators for confined spaces, and exoskeletons for industrial assistance. Key applications target nuclear remote handling (DTT fusion reactor), biomechanical analysis, and cognitive manufacturing systems. Publication Trends (2022-2024): Recent work demonstrates accelerating innovation in soft growing robots for remote sensing, bioinspired grippers with embedded adhesion mechanisms, and wearable biomechanics for athlete monitoring. His publications bridge theoretical modeling (e.g., screw theory for continuum robots) with industrial implementation, particularly in fusion reactor maintenance and agrifood automation, reflecting strong technology transfer orientation. Project Leadership: As BIOIC project lead, he drives integration of biological principles into manufacturing robotics. His involvement in DTT remote handling and NEFERTARI projects highlights expertise in nuclear robotics, while collaborations with clinicians demonstrate commitment to medical applications like soft exoskeletons for rehabilitation. Current efforts focus on virtual reality integration for ergonomic workplace assessment and EMG-based wearable systems.

• Additive manufacturing
• Composite materials
• Computational mechanics
• +4 more

Enrico Zappino is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of the Polytechnic University of Turin. He is affiliated with the College of Mechanical, Aerospace and Automotive Engineering and serves on doctoral committees in Mechanical and Aerospace Engineering. His research focuses on additive manufacturing, composite materials, computational mechanics, and virtual manufacturing. He leads the MUL2 research group and has contributed to projects like ASSESS and OptiFibers. Editorial role at SHOCK AND VIBRATION since 2017 Member of the Italian Association of Aeronautics and Astronautics (AIDAA) since 2013 His research interests integrate advanced numerical models, structural health monitoring, and aerospace materials. He has supervised multiple PhD students and teaches courses on aerospace design, additive manufacturing, and aeroelasticity. Key projects include: ASSESS : Automated monitoring of smart composite structures (2024–2028) OptiFibers : Additive manufacturing with carbon fibers (2023–2024) Zappino’s work bridges computational methods and practical applications in aerospace engineering, emphasizing composite materials and manufacturing processes.

Federico RotiniView profile

Associate Professor

• Product and Process Innovation
• Creative Process Analysis
• Process Reengineering
• +3 more

Federico Rotini is an Associate Professor at the Department of Industrial Engineering of the University of Florence, specializing in ING-IND/15 'Design and Methods of Industrial Engineering'. He holds a PhD in Machine Design and Construction (2012) and has been a faculty member since 2017, following roles as a Researcher (2005–2017) and Research Fellow (2001–2004). Education: - Bachelor’s in Mechanical Engineering (2001), University of Florence - PhD in Machine Design and Construction (2012), University of Florence. Research Interests: Focuses on methodologies for product/process innovation, creative process analysis, process reengineering, and computer-aided design integration. Key areas include sustainable materials, virtual prototyping, and innovation tools. His work spans aerospace systems, automotive engineering, and cultural heritage preservation. Publications & Projects: Over 100+ peer-reviewed articles, co-inventor of patents, and contributor to international projects. Notable work includes AI-driven design ideation, sustainable composites, and amphibious geological platforms. Labs & Roles: Coordinates the 'AFTER' lab (waste valorization) and 'Innovation Methods' lab. Teaches at the School of Engineering and Architecture, covering Mechanical Engineering, Industrial Design, and Design disciplines.

Giovanni FABBROCINOView profile

Professor

• Civil Engineering
• Structural Engineering
• Structural Health Monitoring (SHM)
• +4 more

Prof. Giovanni FABBROCINO is a Full Professor at the Department of Biosciences and Territory of the University of Molise . His research focuses on structural engineering, heritage conservation, and structural health monitoring (SHM). He specializes in seismic analysis of historical buildings, vibration-based diagnostics, and the integration of digital technologies like BIM and virtual reality for infrastructure assessment. His work bridges civil engineering with cultural heritage preservation, emphasizing interdisciplinary methodologies. Key research areas include: Seismic retrofitting of historical structures Non-destructive testing of masonry and RC structures Operational modal analysis (OMA) for dynamic characterization Remote sensing applications in structural monitoring Digital twin development for heritage conservation He leads projects involving advanced materials testing (e.g., weathering steel analysis) and crowd-based technologies for cultural heritage documentation. His methodologies often combine experimental measurements with computational models to enhance infrastructure safety in seismic-prone regions. Current research trends include AI-driven permission models for Android systems and probabilistic frameworks for healthcare facility safety networks. Prof. FABBROCINO collaborates with institutions like the StreGa Laboratory , advancing multidisciplinary approaches to sustainable urban regeneration and disaster resilience. His work contributes to both academic discourse and practical solutions for safeguarding historical centers and strategic infrastructure.

• Numerical Analysis
• Scientific Computing
• High-Performance Computing
• +13 more

Stefano Berrone is a Full Professor in the Department of Mathematical Sciences "G.L. Lagrange" (DISMA) at the Polytechnic University of Turin, where he also holds key administrative roles as Vice-Rector for Quality and President of the University Quality Assurance Committee. He is a member of the Interdepartmental Center SmartData@PoliTO and the University Committee for Research, Technology Transfer and Services to the Territory. Department of Mathematical Sciences "G.L. Lagrange" (DISMA), Polytechnic University of Turin Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory Scientific leadership in EU, national, and commercial research projects Teaching assignment at Turin Polytechnic University in Tashkent (2012–2014) His research lies at the intersection of numerical analysis, scientific computing, and machine learning, with a strong emphasis on the development and analysis of advanced numerical methods. He specializes in the Virtual Element Method (VEM), mesh adaptivity and generation, high-performance computing (HPC), physics-informed neural networks, and deep learning for engineering problems. His work contributes to computational engineering, data science, and sustainable development (aligned with SDGs 4, 9, and 13). He leads multiple research groups and projects focused on numerical optimization, PDE discretization on polygonal meshes, and simulation of complex physical systems. The recent publications (2023–2025) reveal a strong trend toward hybrid computational methodologies, combining classical numerical techniques like VEM with machine learning, particularly physics-informed and neural-approximated models. There is a clear focus on stabilization-free formulations, mesh optimization, and applications in energetic materials, fluid dynamics, and subsurface modeling. The work spans high-impact journals in scientific computing, computational mechanics, and algorithms. Scientific Participations and Memberships: Full Member, SIAM (Society for Industrial and Applied Mathematics) (2020–present) Full Member, Italian Society of Applied and Industrial Mathematics (2020–present) Full Member, Italian Mathematical Union (2020–present) Full Member, National Institute of Higher Mathematics - National Group for Scientific Computing (1999–present) Research Leadership and Grants: Scientific Responsible, In-Deep (EU Horizon Europe, 2024–2028) Scientific Responsible, PYGEOM (PRIN, 2023–2026) Scientific Director of Structure, SHIMMER (Clean Hydrogen JTI, 2023–2026) Scientific Director of Structure, HPC-Spoke 6 (PNRR, 2022–2025) Scientific Responsible, AdPolyMP (PRIN, 2022–2025) Scientific Responsible, Virtual Element Methods: Analysis and Applications (PRIN, 2019–2022) Scientific Responsible, IDEA (PRIN, 2013–2015) Scientific Responsible, AIRTOLYMI (Regional, 2007–2011) Scientific Responsible, Engine Health Monitoring (Commercial, 2024–2025) Advising and Doctoral Supervision: Supervising multiple PhD students in Pure and Applied Mathematics and Mathematical Sciences Member of Doctoral Colleges in Pure and Applied Mathematics at Politecnico di Torino and University of Turin (2013–2023) Key advisor in research areas including energetic materials, computational fluid dynamics, and numerical PDEs Laboratories and Research Groups: Numerical Analysis and Scientific Computing (DISMA) Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory Lead in developing computational tools like HEMSim for energetic materials simulation

Marco MandoliniView profile

Associate Professor

• Additive Manufacturing
• Design for Manufacturing
• Cost Engineering
• +5 more

Prof. Marco Mandolini is an Associate Professor at the Department of Industrial and Information Engineering and Mathematics, University of Ancona and Marche Polytechnic (UNIVPM). His research focuses on advanced manufacturing technologies, including Additive Manufacturing (AM), cost engineering, and medical device design. He specializes in applying machine learning and finite element analysis to optimize production processes and eco-design frameworks. Key research areas include: Design for Additive Manufacturing (DFAM) Machine learning-driven cost modeling for turbomachinery and ETO products Medical device simulation (e.g., mandibular advancement appliances) Extended Reality (XR) applications in surgical planning and product design Sustainable manufacturing and lifecycle analysis Recent publications emphasize interdisciplinary approaches, combining AI with traditional engineering methods to address challenges in medical devices, eco-design, and cost optimization. His work often bridges theoretical models with practical industrial applications, particularly in aerospace, automotive, and healthcare sectors. Prof. Mandolini collaborates with industry partners on projects involving AM lifecycle frameworks, wearable technology for ergonomic evaluation, and AR tools for surgical visualization. He contributes to academic programs in mechanical engineering and industrial design at UNIVPM.

Ivano BenedettiView profile

Professor

• Aerospace Engineering
• Structural Mechanics
• Composite Materials
• +5 more

Ivano Benedetti is a Professor of Aerospace Constructions and Structures at the Department of Engineering, University of Palermo. He coordinates the Master's Degree in Aerospace Engineering and is part of the Teaching Board of the Doctorate in Mechanical, Manufacturing, Management and Aerospace Innovation, as well as the PhD in Civil, Environmental and Materials Engineering. His academic roles include being an invited professor at INSA Rouen and having held visiting positions at Northwestern University (Fulbright Scholar) and Imperial College London (Marie Curie Fellow). Education background includes a PhD in Aerospace Engineering from the University of Pisa (2008) and a Master's in Aerospace Engineering from the University of Palermo (2001). Research focuses on aerospace structures, computational mechanics, composite materials, and fracture analysis. Key areas include aeroelastic analysis, damage modeling in composites, and polycrystalline material behavior using advanced numerical methods like discontinuous Galerkin and boundary element techniques. His work addresses sustainable aviation (e.g., hydrogen storage), morphing technologies, and structural health monitoring. Publications span computational frameworks for aeroelastic simulations, high-order structural models, and micro-mechanical homogenization. He has supervised thesis projects on topics such as composite wing analysis, additive manufacturing fracture, and UAV applications. No scientific awards explicitly mentioned, but his research has been supported by international fellowships (Fulbright, Marie Curie). He contributes to editorial boards of journals in aerospace and materials science.

• Aeroelasticity
• Aerospace engineering
• Composite structures
• +4 more

Marco Petrolo is an Associate Professor at the Department of Mechanical and Aerospace Engineering, Polytechnic University of Turin, Italy. His research focuses on aeroelasticity, composite structures, finite element analysis, and multiscale modeling, with a particular emphasis on structural theories and virtual manufacturing. Scientific Branch: IIND-01/D - Aerospace Structures and Design (Area 0009 - Industrial and Information Engineering) ERC Sectors: Aerospace Engineering, Computational Engineering, Lightweight Construction, Materials Engineering Marco's research interests span aeroelasticity, composite structures, variable kinematics finite elements, and machine learning applications in structural mechanics. He actively contributes to the development of multi-fidelity and multi-field computational tools for aerospace material analysis. His recent publications highlight advancements in composite wing optimization, damage analysis using 3D Hashin criteria, and curing process simulations. Themes include multiscale modeling, finite element techniques, and uncertainty quantification in composite manufacturing. Scientific Awards : Fulbright Visiting Student Research (2010) Effective Member, ASME (2023-), ASC (2019-), AIAA (2018-), AIDAA (2018-) Associate Editor, AEROTECHNICS MISSILI & SPAZIO (2023-), Editorial Board Member, MECHANICS OF ADVANCED MATERIALS AND STRUCTURES (2021-), and others Marco supervises PhD students and participates in organizing international conferences such as ICAS and AIAA Scitech. He leads national and EU-funded projects like DAMA and ASSESS, focusing on acoustic metamaterials and smart composite monitoring.

• Mechanical Systems Dynamics
• Bushing Dynamics Modeling
• Mechatronics
• +12 more

Dr. Francesco Igino Cosco is a Researcher (Ricercatore) at the Department of Mechanical, Energy and Management Engineering, University of Calabria. He teaches Vehicle Dynamics and Robotic Mechanics in the Mechanical Engineering program. Research Interests: Mechanical Systems Dynamics Bushing Dynamics Modeling Vehicle Simulation Platforms Biomedical Device Development Finite Element Analysis Advanced Manufacturing Processes Vibration Control Systems Recent Research Trends: His recent publications focus on: Time-domain identification of bushing dynamics Improving hip prosthesis performance through severe plastic deformation Comparative reviews of bushing modeling approaches Dynamic error estimation in finite elements Hybrid physics-data modeling for vehicle dynamics Fretting fatigue evaluation of biomedical alloys These works demonstrate expertise in mechanical modeling, biomedical applications, and robotics calibration. Research Groups: Member of the "Meccanica Applicata alle Macchine" research group with three macro areas: Mechanical Systems Dynamics, Mechatronics, and Kinematics of Mechanisms.

• Gearing and mechanical power transmissions
• Noise & vibration phenomena in machines
• Vehicle dynamics
• +4 more

Domenico MUNDO is a Full Professor at the Department of Mechanical, Energy and Management Engineering, University of Calabria. His research focuses on mechanical transmissions, vehicle dynamics, vibration analysis, and mechatronic systems. As Head of the Dynamics of Mechanical Systems Lab and Department Deputy for Research, he leads multiple EU-funded projects. PhD in Computational Mechanics (2004) 5-year Degree in Mechanical Engineering cum Laude (1999) Research interests span: Design of advanced mechanical transmissions Noise & vibration characterization in composite materials Kinematic synthesis for automotive and rehabilitation applications Multibody simulation techniques for vehicle dynamics Recent publications emphasize biomechanical rehabilitation devices and composite material modeling. He has coordinated major EU projects like DEMETRA (€1.235M) and INTERACTIVE (€1.344M), focusing on transmission optimization and vehicle concept modeling. Active in editorial roles (Mechanism and Machine Theory) and international conferences, he supervises 9 PhD students and 13 research fellows.

• Fluid Dynamics
• Computational Fluid Dynamics
• Numerical Methods
• +4 more

Carmine De Bartolo is an Assistant Professor in the Department of Mechanical, Energy and Management Engineering at the University of Calabria, specializing in Energy and Environmental Systems (IIND-06/B). He has been with the university since 2001, teaching courses including Numerical Models for Fluid Dynamics, Machinery Fluid Dynamics, and Computational Fluid Dynamics for Energy Engineering (scheduled for 2025). He serves on the Ph.D. advisory board at the University of Calabria. De Bartolo earned his Mechanical Engineering degree from the University of Calabria in 1991 and completed his Ph.D. at the University of Genova in 1995. Prior to joining Calabria, he served as an assistant professor of hydraulic and thermal machines at the University of Pavia from 1996 to 2001. His research focuses on advanced numerical methods for fluid dynamics, particularly high-order discontinuous Galerkin finite element methods. He leads the development of these methods for the Center of Excellence on High Performance Computing at University of Calabria, supported by the Italian Ministry of University and Research. His specific interests include design of numerical methods for compressible and incompressible flows, magnetohydrodynamics, and numerical and experimental analysis of complex flow in turbomachinery and internal combustion engines. Analysis of his recent publications reveals a consistent focus on advancing discontinuous Galerkin methods for various flow regimes, with particular emphasis on time integration techniques, matrix-free implementations, and applications to both compressible and incompressible flows. His work bridges theoretical development with practical engineering applications, especially in energy systems and propulsion. De Bartolo has participated in numerous research projects including the CEE BRITE PROGRAMME '3D Facsimile' (1998-2002), Italian Ministry of Research PRIN 2005 grant, 'Bioengineering virtual systems' project, Calabria Regional Government P.O.R 2000-2006 grant, 'SES-Smart aEolic System' for wind generator efficiency, and the Italian Ministry of Research PRIN 2008 grant for high-order Discontinuous Galerkin methods. He is an active member of the 'Sistemi per l'Energia e l'Ambiente' (Energy and Environmental Systems) research group, collaborating with colleagues including Algieri Angelo, Fragiacomo Petronilla, De Lorenzo Giuseppe, and Corigliano Orlando. His laboratory work involves the 'Fluidodinamica e Sistemi Energetici' (Fluid Dynamics and Energy Systems) facility, where research combines theoretical, numerical, and experimental approaches to energy conversion systems.

• Virtual Reality
• Augmented Reality
• Artificial Intelligence
• +7 more

Dr. Damiano Perri serves as an Adjunct Professor in the Department of Mathematics and Computer Science at the University of Perugia. With a strong background in computer science research and teaching, his work spans multiple cutting-edge domains with practical applications. His academic profile demonstrates a consistent commitment to both theoretical research and real-world implementation. His research interests encompass a broad spectrum of computer science disciplines including Virtual Reality, Augmented Reality, Artificial Intelligence, Cloud Computing, Machine Learning, High Performance Computing, Quantum Computing, and Health Informatics. His work often bridges multiple domains, such as applying VR/AR technologies to healthcare problems like Visual Snow Syndrome treatment, or combining quantum computing principles with machine learning approaches. Professor Perri's publication record shows consistent output with 37 publications spanning from 2018 to projected 2026, demonstrating his active research trajectory. His work appears in high-impact venues including IEEE Access and Lecture Notes in Computer Science, often in collaboration with colleagues like Osvaldo Gervasi and Marco Simonetti. His research has evolved from foundational work in parallel computing and VR to increasingly interdisciplinary applications including health informatics and quantum computing. As an educator, Professor Perri has supervised numerous students, contributing as co-author to 7 master's theses and 52 bachelor's theses since 2019. He teaches several courses including Elements of Computer and Operating System Architecture, Virtual and Augmented Reality Laboratory, Computer Networks: Protocols, and Informatics across different degree programs. He serves as the technical manager of the LibreEOL project since 2015, which appears to be an important electronic assessment platform used at the university. Additionally, he is currently participating in a PRIN research project focused on analyzing Italian language corpora using artificial intelligence techniques. Professor Perri has developed several practical tools to support teaching and research, including a Confusion Matrix generator, Timezones tool, Countdown Timer, Banker's Algorithm solver, Money Calculator, and Break Timer. These tools reflect his commitment to practical applications of computer science concepts and enhancing the educational experience.

Elena BachiniView profile

Assistant Professor

• Computational Fluid Dynamics
• Surface Partial Differential Equations
• Finite Element Methods
• +7 more

Dr. Elena Bachini is a Fixed-term Junior Assistant Professor at the University of Padua's Department of Mathematics. She holds a Ph.D. in Computational Mathematics from Padua (2020), complemented by international research at TU Dresden, University of Texas at Austin, and KAUST. Her work focuses on developing geometric-intrinsic numerical methods for environmental and physical systems. Research interests span: Computational fluid dynamics with emphasis on surface PDEs Discontinuous Galerkin and finite volume methods for hyperbolic systems Virtual element techniques for tensor-valued equations Model coupling strategies for surface-subsurface hydrology Two-phase flows in porous media with anisotropic effects Her publications demonstrate consistent focus on: surface-adapted discretization techniques, shallow water modeling, and multiphase flow simulations. Recent works (2023-2024) advance tensor diffusion theory and fluid-structure interaction models. Article keywords frequently include surface PDEs, Lagrangian-Eulerian schemes, and computational geosciences. Supervision activities include: Primary advisor for 4 Master's candidates in Mathematical/Civil Engineering Co-supervision of postdoctoral researcher F. Muraro in climate resilience modeling She participates in major EU projects including RETURN (climate risk, €multi-million), MONUGEO (geohazards), and REACT (digital twins), leveraging collaborations across 6+ countries.

• Numerical Analysis
• Multivariate Approximation Theory
• Polynomial Interpolation
• +5 more

Marco Vianello is a Full Professor of Numerical Analysis at the Department of Mathematics of the University of Padova, Italy. He has held this position since May 2017, following his tenure as Associate Professor (2001-2016) and Lecturer (1993-2000) at the same institution. Professor Vianello is Co-Editor-in-Chief of the Journal of Approximation Software (2024-) and was previously Managing Editor of Dolomites Research Notes on Approximation (2008-2022). He is the co-founder of the CAA: Padova-Verona Research Group on Constructive Approximation and Applications and an active member of the national research networks RITA (Rete ITaliana di Approssimazione) and SIMAI ANA&A Activity Group. Professor Vianello's research focuses on Multivariate Approximation Theory, with particular emphasis on Polynomial Interpolation, Numerical Quadrature and Cubature, Meshless Approximation, and Polynomial Optimization. His work includes the development of special point sets such as Padua Points, Approximate Fekete Points, Subperiodic Trigonometric Points, and CATCH (Caratheodory-Tchakaloff) Points. His research has significant applications in numerical methods for PDEs, computational mechanics, and scientific computing. His research has been recognized with the Optimization Letters Best Paper Award (2020), and his work has accumulated approximately 3,700 citations on Google Scholar. His algorithms have been implemented in several major software packages including ZEMAX OpticStudio, CP2K for molecular dynamics, and the Chebfun package. Optimization Letters Best Paper Award (2020) for 'Quadrature Based Polynomial Optimization' Approximately 3,700 citations on Google Scholar Approximately 1,200 citations by about 700 authors on MathSciNet Implementation of algorithms in ZEMAX OpticStudio, CP2K, Chebfun, and other scientific software Professor Vianello has advised 3 Ph.D. students to completion and approximately 60 B.Sc. and Master's dissertations. As a research coordinator from 2003-2025, he has secured approximately 150 kEuros in funding, supporting an average of 5 researchers per year. He has served on numerous hiring and evaluation committees, including the ASN (Italian National Scientific Habilitation) Committee in Numerical Analysis (2024-26) and hiring committees for professorships at Padova and Calabria Universities. His research group, the CAA: Padova-Verona Research Group on Constructive Approximation and Applications, maintains an active international collaboration network with researchers from institutions including Lawrence Livermore National Laboratory, Jagellonian University, University of Calgary/Verona, University of Toulouse, Colorado School of Mines, ANU Canberra, Indiana University, and several others across Europe, North America, and Asia.