Matteo Saviozzi is an Associate Professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) within the School of Engineering at the University of Genoa. His academic profile focuses on electrical engineering, renewable energy integration, and optimization of energy systems. Academic Rank: Associate Professor University: University of Genoa School: School of Engineering Department: Department of Naval, Electrical, Electronic and Telecommunications Engineering Research Interests: His work explores advanced control strategies for microgrids, load forecasting methodologies, and optimal management of renewable energy systems. He specializes in virtual inertia support, energy storage integration, and applications of machine learning to energy consumption prediction. Recent Publication Trends: Current research emphasizes stochastic optimization for energy communities, synthetic inertia in grid-forming inverters, and hybrid modeling approaches combining traditional statistical methods with neural networks. His work spans both theoretical development and practical implementation in naval and terrestrial power systems. Contact: Email: matteo.saviozzi@unige.it Office: Dipartimento DITEN, Via Opera Pia 11A
Dr. Wei Song is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at The University of Alabama, College of Engineering. He directs the Intelligent Systems and Structural Dynamics Laboratory and focuses on developing innovative cyber-physical systems for improving disaster resilience and energy efficiency of structures. Dr. Song's educational background includes: Ph.D., Civil Engineering, Purdue University, 2011 M.S., Systems Science and Mathematics, Washington University in St. Louis, 2008 M.S., Structural Engineering, Tongji University, 2004 B.S., Civil Engineering, Tongji University, 2001 His research interests span structural dynamics under hazardous loads, structural condition assessment, advanced experimental platforms, machine learning applications, and cyber-physical systems design. Dr. Song's work particularly addresses challenges in developing resilient and sustainable communities through civil engineering, with emphasis on next-generation structural condition assessment and retrofitting tools. His laboratory develops innovative systems based on smart damping and sensing devices combined with intelligent algorithms and control strategies. Dr. Song's recent publications demonstrate a strong focus on real-time hybrid simulation techniques, deep learning applications for structural health monitoring, and innovative approaches to structural control. His work bridges traditional civil engineering with cutting-edge computational methods, particularly in crack detection, structural dynamics, and community resilience against natural hazards. Dr. Song has received numerous honors including the 2021 O. H. Ammann Research Fellowship and has advised award-winning students like Shanglian Zhou. He serves as Associate Editor for Engineering Structures and Frontiers in Built Environment, and is actively involved in professional organizations including ASCE technical committees on Structural Identification and Structural Control and Sensing. His laboratory conducts research on structural control systems using MR dampers, mass dampers, base isolation platforms, structural condition assessment of bridges, and real-time hybrid simulation. Dr. Song has also been involved in significant projects related to Alabama's infrastructure, including monitoring the Tuscaloosa Box Girder Bridge and investigating cross-frame behavior in steel girder bridges.
David Rancourt serves as an Assistant Professor in the Department of Mechanical Engineering within the Faculty of Engineering at the University of Sherbrooke since 2017. His academic journey includes prior roles as Lecturer at both Université de Sherbrooke (2008-2011) and CEGEP de Chicoutimi (2008-2011), followed by Research Assistant positions at Georgia Institute of Technology (2011-2016). His international collaborations include representing Sherbrooke at Georgia Tech for helicopter design research and presenting at conferences across Canada, USA, and France. His educational background features a Doctorate (2016) and Master's in Aerospace Engineering (2012) from Georgia Institute of Technology, complemented by a Master's in Mechanical Engineering (2011) and Bachelor's in Mechanical Engineering (2008) from Université de Sherbrooke. Additional credentials include the International Space University Space Studies Program (2010). Rancourt's research focuses on revolutionary aircraft architectures and propulsion systems, with particular emphasis on electric and hybrid propulsion technologies, tethered UAV payload systems, and helicopter load stabilization. His work bridges theoretical aerodynamics with practical engineering applications, targeting sustainable aviation solutions through innovations in VTOL systems, battery management for cold climates, and magnetorheological actuators for flight control. This research directly addresses industry challenges in emissions reduction and operational efficiency. His publication portfolio demonstrates consistent advancement in aerospace engineering, with recent works centering on tethered UAV capabilities, hybrid-electric powertrain optimization, and novel VTOL architectures. The research shows increasing industry collaboration, particularly with Bombardier, Pratt & Whitney Canada, and Hydro-Québec, reflecting practical applications of his theoretical work. Canadian Space Agency Quantum Magnetometer for Nanosatellite (2021) Best Paper Award, International Conference Living Machines Best Paper Award, American Institute of Aeronautics and Astronautics Discovery of the Year 2012, Québec Sciences Mérite Estrien, La Tribune Phare de la réussite, École secondaire des Chutes Rancourt has successfully mentored numerous graduate students evident through asterisked co-authorships across 30+ publications. His substantial grant portfolio totaling over $6.5M includes major projects funded by NSERC, CRIAQ, and FRQNT, with recent focus on sustainable aviation technologies including battery thermal management for cold climates ($102,300), magnetorheological actuators for flight systems ($372,240), and collaborative UAV lifting systems ($678,000). His industry partnerships with CAE, Bombardier, and Hydro-Québec demonstrate strong technology transfer capabilities. Through initiatives like the EPR2 VTOL concept and tethered payload motion control systems, Rancourt's research group actively develops practical solutions for next-generation aircraft. His leadership in organizing drone operation workshops and military helicopter demonstrations at Sherbrooke demonstrates commitment to practical education and industry-academia collaboration.
Firat Y. Testik is a Professor in the Civil and Environmental Engineering and Construction Management department at the University of Texas at San Antonio's Klesse College of Engineering and Integrated Design. Contactable at firat.testik@utsa.edu, he leads the Flow Physics Lab and has published extensively on rainfall microphysics and coastal engineering challenges. Ph.D. in Aerospace Engineering from Arizona State University His research focuses on environmental fluid mechanics , particularly: Rainfall microphysics, including raindrop collision dynamics and shape-velocity distribution under wind shear Coastal bridge vulnerability to hurricane wave impacts Gravity current propagation through aquatic vegetation Atmospheric boundary layer turbulence interactions Instrument validation for precipitation measurement Recent publications show a trend toward advanced measurement techniques (high-speed imaging, sUAS) and hazard modeling for hurricanes. He actively contributes to operational rainfall estimation algorithms and infrastructure resilience studies.
David Sundström is a Senior Lecturer at Mid Sweden University's Department of Engineering, Mathematics and Science Education, where he serves as Head of Subject for Mechanical Engineering and Industrial Design Engineering (first-cycle studies). He is affiliated with the Sports Tech Research Centre and directs the Bachelor's program in Additive Manufacturing – Mechanical Engineering. His research focuses on: Biomechanical modeling of cross-country skiing and para-nordic locomotion Rolling resistance dynamics in roller skiing Bioenergetic systems for endurance sports performance Pacing strategy optimization using numerical simulations Downhill running kinematics and economy He teaches courses including Mechanics, Sports Biomechanics, Solid Mechanics, and Product Development. Analysis of his 15 most recent publications reveals dominant themes in sports biomechanics modeling (73% of works), physiological system simulations (60%), and winter sports performance optimization (47%). Key methodologies include motion capture validation, metabolic energy system compartmentalization, and terrain-specific pacing algorithms. He leads research projects including 'H3 – Multidimensional Sustainability' and previously directed studies on ski classification systems and downhill running biomechanics. No scientific awards are mentioned in source materials. At the Sports Tech Research Centre, he collaborates on equipment testing in wind tunnels and develops computational models for endurance sports. His laboratory work focuses on treadmill-based validation of biomechanical hypotheses.
Associate Professor Matthew Mason is a leading academic in the School of Civil Engineering at The University of Queensland, with expertise in Wind Engineering , Stochastic Modelling of Hazards , and Probabilistic Structural Vulnerability Analysis . He joined UQ in 2014 after academic roles at the University of Sydney, QUT, and industry-focused research at Macquarie University's Risk Frontiers. Current Chair of Standards Australia's wind loading sub-committee (AS/NZS1170.2) Principal advisor for 8 active PhD candidates in wind/structure interactions and hazard resilience Recipient of ARC Discovery Early Career Researcher Award (2015-2018) His research spans Convective Storm Modelling , Catastrophe Risk Assessment , and Wind Tunnel Analysis , with recent focus on multi-hazard vulnerability and infrastructure resilience . Over 30 journal articles and 21 conference papers document his work on: Thunderstorm downburst simulation Wind-hail-water hazard interdependence Hydraulic jump wind analogies Transmission line failure mechanisms Tropical cyclone wind field characterization Current grants include: Natural Hazards Research Australia (2023-2026): Modelling infrastructure network vulnerabilities Queensland Resilience Fund (2024-2026): Hail monitoring networks NHRA (2024-2027): Evaluating Resilient Homes Fund
Professor Paul Meehan is the Director of Research at the School of Mechanical and Mining Engineering at The University of Queensland and an affiliate of the Centre for Advanced Materials Processing and Manufacturing (AMPAM). With over 25 years of expertise, he specializes in nonlinear mechanics, vibrations, controls, and wear phenomena applied to railway, aerospace, biomedical, and manufacturing systems. He leads large-scale R&D projects focused on decarbonization, bearing degradation, incremental forming, and noise control. His research integrates nonlinear dynamics, contact mechanics, and smart manufacturing. Key interests include chaos control in mechanical systems, railway technology innovations, predictive modeling of wear, and sustainable transport solutions. He develops advanced computational methods for real-world engineering challenges, such as suppressing flutter in wind turbines and optimizing energy systems in heavy-haul locomotives. His recent publications emphasize experimental validation and computational modeling of tribological systems, manufacturing processes, and dynamic instabilities. Common themes include wear analysis in bearings, novel forming techniques like Chain-die and incremental sheet forming, and nonlinear vibration control. The work demonstrates strong cross-disciplinary collaboration and industry-focused applications. He actively contributes to academic leadership through conference organization, teaching mechanics courses, and industry consulting. As Director of Research, he oversees collaborative projects with high-tech sectors and mentors emerging engineers.
Sebastian Reymert is a Postdoctoral Researcher at the Norwegian University of Science and Technology (NTNU) within the Department of Structural Engineering. He specializes in vehicle aerodynamics and crosswind risk assessment for road vehicles, focusing on data-driven methodologies to analyze aerodynamic loads and enhance transport safety under extreme wind conditions. Research Interests: Aerodynamic Force Estimation : Observer-based methods for wind load estimation using onboard sensors Crosswind Risk Assessment : Vehicle stability analysis in lateral wind disturbances Full-Scale Testing : Field experiments on bridges and wind-exposed roads Data-Driven Transport Safety : Integration of sensor data with statistical wind modeling and machine learning Vehicle Dynamics : Interaction between aerodynamic forces, driver behavior, and structural systems Recent Research Trends span crosswind effects on vehicles, sensor-based force estimation, and full-scale validation of aerodynamic models. His work combines experimental testing with computational modeling to address wind-induced instabilities in road transport systems. Academic Collaborations include supervision by Professors Anders Rönnquist, Ole Øiseth, and Associate Professor Lars Drugge. His research is associated with the OPENBRIDGE project, focusing on bridge-vehicle-wind interactions.
Andrew Keane is a Full Professor and Director of NexSys and the Energy Institute at University College Dublin (UCD). He leads research in power system planning and operation, with a focus on distribution networks, renewable energy integration, and multi-energy system co-simulation. He has held leadership roles including Head of the School of Electrical & Electronic Engineering at UCD and founded NovoGrid, a grid automation company. His research spans power electronics, voltage stability, and smart grid technologies. Key areas include Renewable energy impacts on transmission networks Green hydrogen for grid flexibility Discrete control device optimization Network topology identification Recent publications highlight trends in voltage control strategies, renewable hosting capacity analysis, and electricity-gas network interdependencies. Awards include the 2022 Industry Partnership Award, NovaUCD Licence of the Year, and the 2012 Intel Early Career Faculty Honor Program. Teaching activities at UCD include coordinating modules on Energy Climate Change & Policy Grid Engineering and Modeling Optimization Techniques Power System Optimization Grants fund his work on energy system integration, green hydrogen, offshore wind, and smart grid test beds across multiple projects from 2012 to 2026. He serves as Senior Member of IEEE and contributes to technical standards committees.
Prof. Dr.-Ing. Thomas Rung is a Professor of Computational Fluid Dynamics at the Hamburg University of Technology (TUHH), where he leads research at the Institute for Fluid Dynamics and Ship Theory (M8). He has been with the university since 2005 and maintains an active research program focusing on advanced computational methods for fluid dynamics problems. His academic background includes: 1993: Dipl. Ing. in Aeronautical Engineering from TU Berlin 2000: Dr.-Ing. in Mechanical Engineering from TU Berlin Prof. Rung's research spans multiple domains within fluid dynamics, with particular expertise in computational methods for engineering applications. His work combines theoretical developments with practical implementations for real-world problems in naval architecture, aerospace engineering, and biomedical applications. He has pioneered approaches using emerging computing paradigms including GPU acceleration and quantum computing for fluid dynamics simulations. His research group develops advanced numerical methods for multiphase flows, shape optimization, and high-fidelity simulations of complex engineering systems. His recent publications demonstrate a strong focus on integrating machine learning techniques with traditional computational fluid dynamics, exploring quantum computing applications for fluid simulation, and advancing methods for biomedical flow analysis. The research shows consistent innovation in numerical methods while maintaining relevance to practical engineering challenges across multiple industries. Prof. Rung has supervised numerous research projects related to ship hydrodynamics, vehicle aerodynamics, and urban area simulations. His work has applications in naval architecture, aerospace engineering, and biomedical device design. His research group maintains strong connections with industry partners in transportation and engineering sectors. At the Institute for Fluid Dynamics and Ship Theory, Prof. Rung leads a research team that utilizes advanced computational facilities including high-performance computing resources for large-scale fluid dynamics simulations. The team develops and applies both mesh-based (FV, FD) and particle-based (LBM, SPH) methods to tackle challenging fluid dynamics problems across multiple scales and applications.
Mykhailo Igorovich Kotsur is an Associate Professor at the Department of Electrical and Electronic Devices within the Electrical Engineering Faculty of Zaporizhzhia National Technical University. With over 14 years of academic service since 2011, he has established himself as a specialist in electromechanics and electromagnetic field modeling. His work bridges theoretical research with practical applications in industrial power systems, particularly focusing on energy efficiency improvements in electrical machinery and power distribution systems. Education: 2008: Graduated from Zaporizhia National Technical University with a degree in "Electrical Machines and Devices" 2012: Defended PhD thesis at Sevastopol National Technical University in specialty 05.09.03 "Electrical Complexes and Systems" on "Improving the Efficiency of the Pulse Regulation System of an Asynchronous Motor with a Phase Rotor" Professor Kotsur's research focuses on the investigation of electromagnetic, energy and thermal processes in electromechanical complexes and systems. His work particularly addresses challenges in electric drive systems, power quality issues related to harmonic distortions, and energy efficiency optimization in industrial applications. He has developed novel approaches for modeling electromagnetic fields in electrical machines and power distribution systems, with special attention to busbar systems and crane power supply networks. His methodologies combine theoretical analysis with practical field simulation techniques to solve real-world engineering problems. Analysis of Professor Kotsur's 15 most recent publications reveals a strong trend toward advanced electromagnetic field simulation methods applied to industrial power systems. His work consistently focuses on improving the accuracy of parameter determination for electrical systems, particularly busbar configurations and electric drive components. A significant portion of his recent research addresses the impact of higher current harmonics on industrial equipment performance, with practical applications in overhead crane systems and workshop power networks. His publications demonstrate a progression from fundamental electromagnetic modeling to increasingly sophisticated applications in energy-efficient industrial systems. Professor Kotsur actively contributes to academic training through teaching courses including "Automation of the design of electrical and electronic devices," "Methodology of scientific research in electromechanics," and "Optimization of engineering and design solutions in electromechanics." He has developed numerous instructional materials and laboratory guides for students specializing in electrical engineering and electromechanics. His work with students extends to supervising qualification projects and providing guidance on research methodology in the field of electromechanical systems. His research has resulted in multiple Ukrainian patents related to electric drive systems and control mechanisms, demonstrating the practical application of his theoretical work. These innovations focus on improving energy efficiency in industrial applications, particularly in systems involving asynchronous motors with phase rotors.
Souhil Mouassa is a Spanish-based power-systems researcher who earned his PhD in 2021 from the University of Jaén , Spain, under the supervision of Dr. Francisco Jurado Melguizo. He is currently affiliated with the Department of Electrical Engineering at the same university, where he pursues advanced studies in smart-grid optimisation, renewable-energy integration and meta-heuristic algorithms. Education PhD in Electrical Engineering, University of Jaén, Spain (2021) Thesis: Optimisation de l’écoulement de puissance par les méthodes non-conventionnelles dans les réseaux électriques intelligents (Smart Grid) Research Interests Mouassa’s work spans the entire spectrum of modern power-systems engineering, focusing on: Optimal power-flow computations for hybrid thermal-wind-solar networks Meta-heuristic and bio-inspired optimisation (Electric Eel, Gorilla Troops, Kepler, Bonobo, Dwarf Mongoose, Tuna Swarm, AEO, GTO, FFA, etc.) Integration of FACTS devices (TCSC, SVC, UPFC) to enhance grid stability and power quality Smart-home and smart-grid energy-management systems with storage and demand response Photovoltaic systems, MPPT techniques and active-power filtering under non-ideal grid conditions Stochastic modelling of renewable-generation uncertainty and its impact on isolated and large-scale networks Power-electronics control—Lyapunov-based adaptive sliding-mode schemes for DC-DC converters Publication Profile Between 2017 and 2025 Mouassa authored more than thirty peer-reviewed papers, concentrated in high-impact energy, power-engineering and applied-soft-computing journals. His 2024-2025 output alone includes nine articles that apply cutting-edge swarm and evolutionary algorithms to real-world optimal-power-flow and energy-management problems, demonstrating a clear trajectory toward large-scale, practical implementation of renewable-rich power systems. Notable case studies include the isolated Adrar network in Algeria and various European-scale transmission systems. Scientific Awards No specific prizes, fellowships or medals have been publicly listed to date. Advising & Grants No supervised students or funded projects are explicitly mentioned in the provided materials. Laboratories & Teams Mouassa carries out his research within the Department of Electrical Engineering research group at the University of Jaén, accessing power-system simulation laboratories and computational clusters necessary for large-scale optimisation studies.
Marcos Tostado Veliz is an Assistant Professor in the Department of Electrical Engineering at the University of Jaén, Spain. He holds a PhD in Electrical Engineering (2020) and Master's degrees from the University of Seville. His research focuses on integrating renewable energy, optimizing microgrids, and advancing hydrogen-based systems. Research Interests: Dr. Tostado-Veliz specializes in power systems analysis, smart grid technologies, electric vehicle integration, and energy management. His work emphasizes computational optimization methods (e.g., MILP, stochastic programming) for sustainable energy solutions. Publication Trends: Recent articles (2023–2026) demonstrate a strong focus on energy communities, hydrogen infrastructure, EV charging optimization, and resilient grid design, often using advanced algorithms like PSO and Benders decomposition. Awards & Recognition: Premio Extraordinario de Doctorado (2024) Energies Outstanding Reviewer Award (2023, 2024) Mejor Expediente Académico (2017) Academic Contributions: He co-supervises PhD theses on microgrids and smart grids, leads projects on renewable integration, and serves as Associate Editor for Ain Shams Engineering Journal . His lab investigates hydrogen electrolysis, energy storage, and decentralized control strategies.
Anoop Kodakkal is a Researcher at the Chair of Statics and Dynamics of the Technical University of Munich , where he has worked since 2024. He was previously a Research Associate at the Chair of Structural Analysis (2020-2024) and completed his doctoral studies (Dr.-Ing.) at TUM as a DAAD scholarship holder (2016-2020). He holds an M.Tech in Structural Engineering from IIT Delhi (2012-2014) and a B.Tech in Civil Engineering from NIT Calicut (2008-2012). Research Interests: Wind Engineering Uncertainty Quantification (UQ) Fluid-Structure Interaction Structural Optimization Isogeometric Analysis Machine Learning in Structural Dynamics Scientific Awards: DAAD Doctoral Research Grant (2016-2020) DAAD IIT Master Sandwich Scholarship (2013-2014) Recent Publications focus on wind-induced vibrations, uncertainty quantification, and machine learning integration with finite element analysis. Notable trends include: Optimization under uncertain wind conditions Development of neural networks for structural dynamics Standardization of membrane roof design Multi-fidelity modeling for turbulent flows Stochastic analysis of nonlinear systems Computational tools for wind engineering
Luca Boscaglia is a researcher at Chalmers University of Technology, Sweden, specializing in Electrically Excited Synchronous Machines (EESMs) for sustainable transportation. He is affiliated with the Department of Electric Power Engineering, focusing on electromagnetic, mechanical, and thermal design challenges of high-power density motors. PhD in Electrical Engineering (2024, Chalmers) Expertise in rare-earth-free electric motor alternatives Key contributor to EU-funded projects like LONG and DORNA His research addresses critical issues in the transportation sector's decarbonization, including: Advanced rotor and stator oil cooling systems High-speed mechanical integrity under centrifugal forces Dynamic current control with mutual coupling considerations Driving cycle thermal modeling for reliability Publication trends highlight innovations in: Direct oil cooling for 200 kW truck motors Brushless excitation systems Hairpin winding loss reduction Comparative analysis with permanent magnet motors Collaborations span automotive giants (Volvo, ABB), EU institutions, and global universities (Zhejiang, Polytechnic University of Turin). Current projects include FlexCharge, E-drill, and HipeDrive, funded by Swedish Energy Agency and European Commission.
