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Luigi Bruno is an Associate Professor of Machine Design at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. He has held this position since 2014, following 12 years as an Assistant Professor at the same institution and Visiting Professorships at IIT Gandhinagar (2012), University of Alabama at Birmingham (2013-2017), and Free University of Bozen-Bolzano (2021). 1999 : Master's in Mechanical Engineering, University of Calabria (110/110 cum laude) 2003 : PhD in Mechanical Engineering, University of Pisa His research interests span: Experimental Mechanics : Pioneering speckle interferometry for micro-displacement measurement and residual stress analysis. Materials Science : Elastic characterization of anisotropic materials, biomedical applications of soft substrates, and 3D-printed composites. Biomedical Engineering : Mechanical behavior of biological tissues, ocular biomechanics, and dental implant material testing. Recent research trends focus on: Integrating artificial muscles into rehabilitation devices Advancing full-field optical measurement via microCT/DVC Optimizing 3D printed polymer adhesion for industrial components Exploring neuronal biomechanics on soft surfaces Scientific contributions include: CS2007A00010 patent for dual-focus speckle interferometers Deputy Editor of Optics and Lasers in Engineering (2019-present) Guest Editor for special issues on optical methods in experimental mechanics and nanobiotechnology Academic leadership extends to coordinating Mechanical Engineering committees (2021-present), serving on editorial boards, and organizing international conferences like AIAS National Conference (2018). He has secured multiple MIUR research grants and industry collaborations with Alfagomma, 3DNA, and Ferrovie della Calabria. His laboratory, Mechanics of Materials and Structures , supports both research and teaching activities with advanced optical measurement systems and computational tools for mechanical design.

• Experimental Mechanics
• Mechanical Engineering
• Optical Interferometry
• +3 more

Michael Dumbser is a Full Professor at the University of Trento's Department of Civil, Environmental and Mechanical Engineering. His research focuses on computational fluid dynamics, numerical methods for hyperbolic conservation laws, and high-performance computing. He specializes in developing structure-preserving numerical schemes such as discontinuous Galerkin and finite volume methods for continuum mechanics, relativistic fluid dynamics, and multiphase flows. Teaching responsibilities include courses like Calcolo numerico e programmazione , High-Performance Computing for Multi-Functional Metamaterials , and Metodi numerici per l'ambiente . His work emphasizes thermodynamically compatible formulations and adaptive numerical methods for complex physical systems. Recent research trends involve hyperbolic reformulations of classical models (e.g., Navier-Stokes-Korteweg, Einstein equations), staggered semi-implicit schemes for incompressible flows, and GPU-accelerated algorithms. His publications span topics from geophysical fluid dynamics to relativistic astrophysics, with a focus on maintaining physical conservation principles in numerical implementations. No scientific awards are explicitly listed in the provided information. His advising record is not detailed here, though his courses suggest involvement in student mentorship. Research collaborations include projects on metamaterials and computational geophysics. Current initiatives include developing unified models for earthquake rupture dynamics, non-Newtonian fluid simulations, and adaptive mesh refinement techniques. His lab work involves high-performance computing frameworks like ExaHyPE for large-scale wave propagation studies.

• Computational Fluid Dynamics
• Discontinuous Galerkin Methods
• Finite Volume Methods
• +6 more

Simone Salvadori is an Associate Professor at the Department of Energy (DENERG) of Politecnico di Torino, specializing in Computational Fluid Dynamics, Heat Transfer, and Turbomachinery. His research intersects Aerospace Engineering , Propulsion , and Energy Sustainability (SDG 7 & 9). He leads the EnaTech-RDE project on CO2-Free Rotating Detonation Engines and contributes to H2POWRD for hydrogen propulsion systems. Editorial roles: Guest Editor for Frontiers in Aerospace Engineering and Applied Sciences , Member of Energies Editorial Board. Organizing Committee Member for 8th ART Summer School (2024) and multiple international conferences including Aerospace Europe Conference 2023. His research focuses on pressure gain combustion , film cooling optimization , and machine learning-driven turbine design . He employs advanced computational tools to analyze unsteady flows, cavity dynamics, and exhaust systems in gas turbines, with applications to hydrogen/natural gas blends and rotating detonation engines . Salvadori supervises PhD students in projects related to high-pressure turbine vane coupling , cooling channel optimization , and exhaust flow control . He collaborates with the TEP Research Group and networks like ETN Global (Energy & Turbomachinery Network).

• Computational Fluid Dynamics
• Energy Harvesting
• Fluid Dynamics
• +4 more

Sebastiano Boscarino is an Associate Professor of Numerical Analysis (MAT/08) at the Department of Mathematics and Computer Science, University of Catania, Italy. His research focuses on numerical methods for conservation laws , stiff problems , hyperbolic systems with relaxation terms , and kinetic problems , with a special emphasis on semi-Lagrangian methods. Education: Ph.D. in Applied Mathematics (2006, University of Catania), Laurea in Mathematics (2001, University of Catania) Research Projects: Coordinated national and international projects including PRIN 2017/2022 and European MODCLIM/MODCOMPSHOK. From 2016 to 2023, his publications highlight high-order semi-implicit and IMEX schemes for evolutionary PDEs , particularly in gas dynamics , Boltzmann equations , and shallow water models . Collaborations include institutions in the USA, South Korea, and Germany. He has organized international workshops and minisymposia at conferences like ICIAM, SCICADE, and ODS2018, and serves as a referee for journals such as SIAM Journal on Scientific Computing and Journal of Computational Physics. His teaching includes courses in Numerical Analysis and participation in PhD programs since 2017.

• Numerical methods for conservation laws
• Numerical methods for stiff problems
• Numerical methods for hyperbolic systems with relaxation terms
• +2 more

Giovanni Russo is a Full Professor of Numerical Analysis at the Department of Mathematics and Computer Science, University of Catania, Italy . He coordinates the PhD program in Pure and Applied Mathematics and has been a visiting scholar at institutions including Courant Institute, University of California, Los Angeles, University of Michigan, and University of Bordeaux. His career spans over four decades across academia and research institutions. Education: PhD in Physics (1986, University of Catania), Laurea in Nuclear Engineering (1982, Politecnico di Milano). Research Interests: Russo specializes in Computational Fluid Dynamics , Numerical Methods for Conservation Laws , and Kinetic Equations . His work includes asymptotic preserving schemes , IMEX methods , semi-Lagrangian schemes , and high-order numerical techniques for PDEs with applications to fluid dynamics, plasma physics, and multiscale modeling. Scientific Trends: Recent publications focus on modeling epidemic dynamics , kinetic equations for inert mixtures , semi-Lagrangian methods , and uncertainty quantification in quantum systems. These works reflect his expertise in high-order numerical schemes , multiscale analysis , and applied mathematical modeling . Scientific Awards: CNR-NATO Fellowship (1987) Advising and Grants: Russo has supervised nine PhD students and served as Principal Investigator (PI) for major projects including MOSCOVID (modeling COVID-19) and ModCompShock (Horizon 2020 Marie Curie project). He has also organized international conferences like the 18th European Conference on Mathematics for Industry with 370 participants. Labs and Teams: Russo collaborates with research groups at the University of Catania and has been a visiting researcher at Courant Institute, University of Michigan, and GSSI L’Aquila. He contributes to journals as an editor and reviewer, including SIAM Journal of Numerical Analysis and Journal of Computational Physics .

• Computational Fluid Dynamics
• Numerical Methods for Conservation Laws
• Numerical Methods for Kinetic Equations
• +5 more

Elia Distaso is an Assistant Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research focuses on fluid dynamics, hydrogen combustion, and computational modeling. University: Politecnico di Bari Department: Mechanics, Mathematics & Management Academic Rank: Assistant Professor Email: elia.distaso@poliba.it His work spans hydrogen engines , CFD simulations , and hydraulic systems , with recent publications addressing auto-ignition mechanisms, cavitation phenomena, and sustainable aviation technologies. He specializes in leveraging numerical methods for combustion and fluid flow analysis. His 15 most recent publications highlight trends in computational fluid dynamics, including boundary condition modeling, pressure-velocity coupling, and OpenFOAM® applications. Key subfields include hydrogen combustion dynamics , lubricant oil reactivity , cryogenic heat exchanger design , and piezohydraulic pump analysis .

• Fluid Dynamics
• Hydrogen Engines
• Combustion
• +4 more

Giuseppe Pascazio serves as a Full Professor in the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy. His research spans computational fluid dynamics with dual focus on aerospace applications and biomedical engineering, particularly in hypersonic flow phenomena and microwave ablation technologies for cancer therapy. His primary research interests include fluid dynamics, computational methods for high-enthalpy flows, thermochemical non-equilibrium modeling, turbulent boundary layer analysis, and biomedical device optimization. Pascazio develops advanced numerical techniques including high-order schemes, state-to-state kinetics implementations, and GPU-accelerated solvers to address complex flow physics in atmospheric entry and medical applications. His work bridges fundamental gas dynamics with practical engineering solutions for spacecraft thermal protection and minimally invasive cancer treatments. Analysis of his recent publications (2021-2025) reveals three dominant research thrusts: (1) High-fidelity simulation of hypersonic flows with detailed chemistry using state-to-state kinetics, (2) Development of robust numerical methods for shock-capturing in thermochemically non-equilibrium flows, and (3) Biomedical applications focusing on microwave ablation probe design and microcapsule transport in vascular systems. His aerospace work emphasizes atmospheric reentry physics while biomedical research targets cancer therapy optimization. Pascazio has participated in significant research projects including "PrInCE" (Innovative Processes for Energy Conversion) and "INNOVHEAD" (Advanced technologies for reduction of polluting emissions in Heavy Duty engines). His collaborative work involves industrial partnerships in aerospace and medical device sectors, though specific grant details beyond project names aren't provided. He maintains active research output with over 50 publications demonstrating consistent contributions to high-speed aerodynamics and biomedical fluid dynamics.

• Fluid Dynamics
• Computational Fluid Dynamics
• Hypersonic Flows
• +5 more

Andrea Maranzoni is an Associate Professor of Hydraulics at the Department of Engineering and Architecture, University of Parma, Italy, where he has been serving since February 2019. He previously held assistant professor positions at the University of Parma and the University of Brescia, and has been actively involved in teaching and research in hydraulic and environmental engineering. Education: Ph.D. in Civil Engineering (Hydraulic Engineering), University of Parma, 2004 Degree in Civil Engineering (cum laude), University of Parma, 2000 His research focuses on the numerical and physical modeling of unsteady free surface flows, flood hazard assessment due to dam-breaks and levee breaches, probabilistic flood mapping, shallow water equations, and finite volume methods. He also investigates hydrodynamic actions on structures, mixed flow modeling, and imaging techniques for water surface measurement. His work bridges theoretical hydraulics with practical flood risk mitigation strategies. The recent publications (2023–2024) reflect a strong trend in dam-break modeling, flood hazard quantification, and theoretical advances in fluid mechanics. Key themes include probabilistic risk assessment, extension of classical equations like Bernoulli’s under non-inertial frames, and experimental analysis of hydrophobic sphere impacts. These works demonstrate a consistent focus on improving flood prediction accuracy and safety through advanced numerical and experimental methods. Scientific Awards: None listed in the provided text. Maranzoni has advised one Ph.D. student, Susanna Dazzi, and has supervised approximately 30 Bachelor’s and Master’s theses. He has received research funding from MIUR’s FFABR program (€3,000) and is a participant in the RELAID project (€600,000 total, 2020–2022). He also serves as Vice Coordinator of the Ph.D. Programme in Civil Engineering and Architecture at the University of Parma. He is involved in the research community through editorial roles, notably as Guest Editor for a special issue in Water (MDPI) on dam-break modeling, and as a reviewer for leading journals such as Journal of Hydraulic Engineering (ASCE) and Advances in Water Resources . He is a member of the Italian Hydraulic Group (GII), the Faculty Board of the Ph.D. program, and the CIDEA Interdepartmental Center for Energy and the Environment.

• Hydraulics
• Numerical Modelling of Free Surface Flows
• Flood Hazard Assessment
• +7 more

Enrico Bertolazzi is an Associate Professor in Numerical Analysis at the University of Trento's Department of Industrial Engineering. He specializes in numerical methods for optimal control, finite element methods, sparse matrix computations, and symbolic computation. His work integrates advanced programming skills in C/C++, MATLAB, and other languages to develop computational tools for engineering and mathematical challenges. Bertolazzi's research addresses complex systems such as vehicle dynamics, trajectory optimization, and real-time simulations, with applications in automotive engineering, renewable energy, and robotics. Research Interests: Numerical Optimal Control and Trajectory Planning Finite Element/Finite Volume Methods for PDEs Sparse Matrix Algorithms Clothoid Curve Modeling Symbolic-Numeric Hybrid Techniques Vehicle Dynamics and Autonomous Systems Publications: Recent work focuses on real-time tire models, DAE index reduction, and autonomous vehicle path planning. His contributions span algorithm development, computational toolboxes (e.g., TrussMe-Fem), and interdisciplinary applications combining mathematics with engineering. Grants & Advising: Advises on optimal control, robotics, and simulation projects. Active in developing educational software like the virtual racing car championship platform. Labs/Teams: Involved in research groups focused on intelligent vehicles, computational mechanics, and numerical methods for industrial applications.

• Numerical Analysis
• Optimal Control
• Finite Element Methods
• +9 more

Giuliana Giusti is a Full Professor at Ca' Foscari University of Venice, affiliated with the Department of Comparative Linguistic and Cultural Studies. She holds roles such as Substitute member of the GEP Team, Delegate for Quality Assurance, and Effective representative of the University's Single Guarantee Committee (CUG). Her research focuses on syntax, formal linguistics, and Romance languages, with particular emphasis on determiners, clitics, and grammatical variation across Italo-Romance dialects. Giusti has contributed extensively to studies on linguistic metacognition, gender-inclusive language, and historical linguistics, including analyses of Latin syntax and its evolution into modern Romance languages. She teaches courses on formal syntax, English linguistics, and language and gender at undergraduate and graduate levels. Her academic work spans over 150 publications, including monographs, edited volumes, and peer-reviewed articles in journals like Linguistics , Revista Română de Lingvistică , and Isogloss . Giusti's research integrates theoretical syntax with empirical studies, often employing comparative methods to explore phenomena such as indefinite determiners, quantifiers, and clitic placement. She has also led initiatives promoting linguistic awareness and inclusive language practices, reflecting her commitment to societal impact through academia. Giusti’s teaching portfolio includes advanced courses on comparative syntax, formal syntax, and language policy, alongside contributions to curriculum development for students with learning disabilities. Her academic leadership roles underscore her institutional engagement, balancing research, education, and administrative responsibilities at Ca' Foscari.

• Linguistics
• Syntax
• Romance Languages
• +3 more

Hirasawa Mitsuaki is an Assistant Professor (2023-2026) and Fixed-term researcher at the University of Milan-Bicocca's Department of Physics "Giuseppe Occhialini". His research focuses on theoretical particle physics and quantum gravity, with specialization in non-perturbative methods for quantum field theories. Research interests span several interconnected domains: Lattice gauge theories : Investigating CP restoration in Yang-Mills theories at finite temperature using imaginary θ simulations Matrix models : Studying emergent spacetime dynamics in Lorentzian type IIB matrix models Computational methods : Developing complex Langevin techniques to overcome sign problems in quantum systems Quantum gravity : Exploring spacetime emergence mechanisms in high-energy physics frameworks Recent publications (2019-2025) demonstrate consistent focus on non-perturbative aspects of quantum field theories and quantum gravity. Primary research threads include: 1) Numerical investigation of CP-violating phases in gauge theories, 2) Spacetime emergence in matrix models using novel regularization techniques, and 3) Development of advanced complex Langevin methods for lattice simulations. The work frequently combines theoretical formalism with large-scale computational approaches. No scientific awards, prizes, or fellowships are mentioned in available sources. Available records show no information regarding student advising, research grants, laboratory affiliations, or team collaborations.

• Theoretical Physics
• Lattice Gauge Theory
• Quantum Gravity
• +3 more

Alessia Lucca serves as a Research Fellow in the Department of Physics and Tutor for the Department of Civil, Environmental and Mechanical Engineering at the University of Trento. Her research develops advanced numerical methods for simulating blood flow dynamics in elastic and viscoelastic vascular networks, with direct applications to cardiovascular diagnostics including Fractional Flow Reserve (FFR) prediction. She actively contributes to graduate education through the Environmental and Land Engineering program. Her primary research domains include: Computational Fluid Dynamics for biological systems Numerical analysis of partial differential equations Finite volume and finite element method development Cardiovascular biomechanics modeling Scientific computing for medical applications Recent publications (2023-2025) demonstrate consistent innovation in semi-implicit and hybrid numerical schemes for blood flow simulation, particularly addressing challenges in vessel elasticity modeling and clinical FFR prediction. Her work bridges mathematical rigor with practical cardiovascular medicine through collaborations with leading researchers like Michael Dumbser and Lucas Omar Muller. The research shows strong emphasis on computational efficiency and physiological accuracy in vascular network simulations. Dr. Lucca teaches the graduate course Numerical methods for the environment , covering theoretical and practical aspects of ODE/PDE solvers for geophysical systems. The course prepares students for advanced hydrodynamics studies while emphasizing real-world limitations and potentials of environmental modeling.

• Computational Physics
• Fluid Dynamics
• Numerical Analysis
• +3 more

Enrico Napoli is a Full Professor in the College of Engineering at the University of Palermo, where he has been since 2001 (promoted from Associate Professor). He conducts research in numerical modeling of incompressible fluid flows with applications across civil, environmental, and industrial engineering domains, particularly focusing on turbulence analysis. He developed the PANORMUS open-source software (with finite-volume and SPH modules) for 3D hydrodynamic simulations, fully parallelized via MPI libraries and distributed as free software. As a delegate for the Rector's Program and Strategic Plan implementation, he also serves on the University's Academic Senate since 2009. Graduated Magna Cum Laude in Civil Hydraulic Engineering (1993) at University of Palermo His research covers: (1) 3D hydrodynamic modeling using finite-volume and SPH methods for free-surface and confined flows; (2) Development of PANORMUS open-source software (including hybrid FVM-SPH capabilities); (3) Water distribution network modeling with characteristic method applications; (4) Turbulence analysis in environmental and engineering contexts; (5) Biomedical fluid dynamics applications including cardiovascular FSI and thrombus formation. His computational work addresses both fundamental fluid mechanics and applied problems like desalination technologies , water quality management , and pollutant dispersion . Scientific activities include: Computational Advancements : Developed PANORMUS software with multi-domain parallelization and deformable wall capabilities Environmental Applications : Studied Augusta Harbour hydrodynamics, Stagnone Lagoon circulation, and urban stormwater pollution Biomedical Research : Modeled thrombus formation in cardiovascular systems using SPH Engineering Solutions : Analyzed energy recovery systems with PAT technology and flow regulation via PRVs

• Hydraulics
• Computational Fluid Dynamics
• Turbulence Modeling
• +6 more

Laura Sardone is a Fixed-term Assistant Professor and researcher at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is an invited member of both the College of Architecture and Design and the College of Civil and Building Engineering, reflecting her interdisciplinary role in engineering and architectural education and research. Her research focuses on advanced computational methods in civil and structural engineering, particularly in algorithm-aided design , structural optimization , and applied artificial intelligence . Her work bridges civil engineering with computational mathematics, focusing on sustainable manufacturing, digital construction, and efficient structural systems. She integrates topics such as numerical analysis, topology, control theory, and scientific computing into practical engineering solutions. The recent publications highlight a consistent trend in computational structural design , especially in optimizing variable-section beams and arches using advanced algorithms and simulation tools. These works reflect a strong emphasis on sustainability, efficiency, and digital innovation in construction, aligning with EU research goals in circular economy and smart infrastructure. Laura Sardone actively supervises PhD students and contributes to major research initiatives such as the EU-funded ADAPT4CE project, which develops adaptive digital systems for sustainable construction in the circular economy. She teaches advanced courses in generative design, parametric modeling, and structural optimization at both PhD and master’s levels. Her technical expertise spans multiple ERC sectors including artificial intelligence, computational engineering, civil engineering, and optimization. Her research supports key UN Sustainable Development Goals, particularly Goal 9 (Industry, Innovation, and Infrastructure) , Goal 11 (Sustainable Cities and Communities) , and Goal 13 (Climate Action) . She is involved in interdisciplinary research teams and leads computational modeling efforts in structural optimization. Her work is published in high-impact journals and conference proceedings, demonstrating her active role in advancing digital methods in civil and architectural engineering.

• Advanced and sustainable manufacturing
• Advanced design
• Algorithm design and analysis
• +12 more

Emanuele MACCA is a permanent researcher at the Department of Mathematics and Computer Science, University of Catania, specializing in Numerical Analysis. He holds a fixed-term RTD-a contract and focuses on developing efficient numerical schemes for simulating physical phenomena. Education Graduated with honors from University of Catania (2018) PhD in Mathematics and Computational Sciences from University of Palermo (2022) Research Interests His research centers on: Modeling hyperbolic systems with conservation laws Designing finite-difference, IMEX, and finite-volume schemes Simulating environmental/geophysical phenomena like shallow water systems Multiscale simulation techniques for complex systems He investigates benchmark problems (e.g., Sod shock problem) to validate numerical methods while addressing coastal evolution, sedimentation, and wave dynamics in estuaries. Grants & Awards Marie Curie pre-doctoral fellowship at University of Malaga (2019-2020) Research grant at University of Catania (2022-2023) Contact Office: 236 bis Phone: 095 7383201 Office hours: Mondays 10:00-12:00 (via email or Teams)

• Numerical Analysis
• Numerical Modeling
• Numerical Simulation
• +5 more