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Norah Kaggwa KwagalaView profile

Researcher

• Space Physics
• Space Weather
• Ionospheric Physics
• +3 more

Norah Kaggwa Kwagala is a Researcher in Space Physics and Space Weather at the Department of Physics and Technology, University of Bergen. Her work focuses on ionospheric dynamics, magnetic reconnection processes, and space weather modeling. She contributes to the Bergen-Imperial Global Geospace (BIGG) project, supported by ESA and Sigma2, advancing 3D MHD simulations for Earth's magnetosphere. Education: PhD (2018), MSc (2015) in Physics from University of Bergen. Research emphasizes thermal excitation of 630.0 nm emissions in polar ionosphere, validated via EISCAT radar and optical data. Key publications include validation of the Space Weather Modeling Framework (SWMF) for Northern Europe and studies on magnetic reconnection dynamics. Grants include Research Council of Norway (NFR) and ESA funding. Collaborates internationally on projects like BIGG and SWMF applications. Active in conferences such as AGU Fall Meetings and European Space Weather Week.

Jordan KernView profile

Assistant Professor

• Energy Systems
• Power Grid Vulnerability
• Extreme Weather Impact
• +3 more

Jordan Kern is an Assistant Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University's College of Engineering. His research advances optimal design and management of energy systems through high-fidelity modeling of bulk electric power systems, simulation of system dynamics under uncertainty and stress, and decision-support for infrastructure investment. Kern holds a Ph.D. in Environmental Sciences and Engineering from UNC-Chapel Hill (2014), an MS in Environmental Sciences and Engineering from UNC-Chapel Hill (2010), and a BS in Environmental Sciences from UNC-Chapel Hill (2007). Kern's research examines energy system vulnerability to extreme weather events and climate change, with focus areas spanning power grid resilience, renewable energy integration, and climate adaptation strategies. His work informs infrastructure planning and operational decisions through advanced computational modeling of interdependent energy-water systems under climate uncertainty. Analysis of Kern's publications reveals dominant research themes in climate-energy nexus, grid resilience under extreme weather, and renewable energy integration. His recent work increasingly addresses equity dimensions of energy transitions and develops open-source tools for high-fidelity energy system modeling. Research demonstrates consistent application of stochastic optimization methods to quantify and mitigate climate risks to critical infrastructure. Kern has received notable recognition including: NSF CAREER Award (2022) His research has been supported by the U.S. Department of Energy, National Science Foundation, Alfred P. Sloan Foundation, Bezos Earth Fund, and State of North Carolina. Kern has served as expert witness for the U.S. House Committee on Energy and Commerce and participated in White House Office of Science and Technology Policy panels on AI applications in energy systems management.

• Experimental Turbulent Flow Measurement
• Gas-Liquid Interface Dynamics
• Wind-Assisted Propulsion
• +3 more

R. Jason Hearst is a Professor at the Department of Energy and Process Engineering , Norwegian University of Science and Technology (NTNU) , specializing in experimental turbulent flow analysis. His research focuses on high Reynolds number turbulence generation, air-sea interface dynamics, aerodynamic impacts of turbulence on structures, and wind-assisted propulsion systems. He employs advanced diagnostics like Particle Image Velocimetry (PIV) and Laser-Induced Fluorescence (LIF) to explore turbulence-structure interactions and gas transfer mechanisms. Academic Milestones: PhD (2009–2014), Institute for Aerospace Studies, University of Toronto Postdoctoral Fellowship (2015–2017), University of Southampton Professor (2023–Present), NTNU Research Themes: His work bridges fundamental turbulence studies with applied energy systems, including wind turbine aerodynamics, bridge deck wind loading, and UAV icing mitigation. Current projects like reSail (wind-assisted propulsion) and GLITR (gas-liquid interface turbulence) highlight his interdisciplinary approach. Publications: Recent studies analyze freestream turbulence effects on wall-bounded flows, air-water gas transfer mechanisms, and vortex dynamics in wind turbine wakes. Collaborative articles with postdoctoral fellows (e.g., Leon Li, Pim Bullee) emphasize experimental validation and cross-institutional partnerships. Laboratory Contributions: As coordinator of the Fluid Mechanics Lab , he oversees advanced equipment for turbulence measurement and wind tunnel testing. His team includes PhD candidates and postdoctoral researchers working on topics like oxygen transport at air-water interfaces and turbulent mixing in non-Newtonian systems.

Denis KelliherView profile

Lecturer

• Structural Engineering
• Finite Element Analysis
• Structural Optimization
• +5 more

Dr. Denis Kelliher is a Lecturer in Civil and Environmental Engineering at University College Cork (UCC), Ireland. He holds a PhD from 1999 and has been involved in full-time academic work since 1997. His research focuses on Structural Shape Optimization, Finite Element Analysis, and Engineering Computation. He established the Research Unit for Structures and Optimisation (RUSO), which explores topics such as cement hydration, offshore wave simulation, and structural experimentation. Education: BE (Civil Engineering, 1989) and PhD (1999) from National University of Ireland, Cork. He also spent time at UC Berkeley (1994) and MIT (2009–2010). Teaching: Teaches modules including CE1005 (Engineering Computation), CE4006 (Structures), CE4009 (Applied Elasticity), and coordinates final-year research projects and placements. Labs: Director of RUSO and maintains a structural experimentation lab using high-resolution imaging. His research bridges computational methods (e.g., PHREEQC, HYDCEM) with practical applications in cement materials, offshore engineering, and structural dynamics. Key areas include optimizing composite materials for wind turbines and modeling cement hydration processes.

Anastasia MulianaView profile

Professor

• Structural Mechanics
• Composite Materials
• Biomechanics
• +5 more

Anastasia Muliana is a Professor of Mechanical Engineering at Texas A&M University, serving as Chair of Faculty Mentoring and Success and the Linda & Ralph Schmidt '68 Professor. She is also a College of Engineering Faculty Ombudsperson. Her research focuses on structural integrity, resilient materials, and plant biomechanics, with interdisciplinary collaborations in agriculture, materials science, and robotics. Education: Ph.D. in Structural Engineering and Mechanics (Georgia Tech, 2004), M.S. in Civil Engineering (Georgia Tech, 1999), B.S. in Civil Engineering (Bandung Institute of Technology, 1997). Research interests include durability of polymers/composites, nonlinear constitutive modeling, thermal stresses, multi-scale analysis, plant biomechanics, and flexible structures. Her work bridges computational mechanics with experimental validation, addressing challenges in composite manufacturing and bioenergy crop mechanics. Recent articles emphasize 3D-printed kerf structures, sorghum biomechanics, and smart materials. Awards include Fellow of the American Society of Mechanical Engineers (2016), Cain Faculty Fellow (2016–2019), and multiple Dean’s Excellence Awards. Grants and advising contributions are central to her role, mentoring students in interdisciplinary projects. Active in service, she leads initiatives promoting faculty success and academic equity. Her lab explores innovative materials for aerospace, naval, and soft robotics applications, leveraging X-ray tomography and soft microfabrication techniques.

Vincenzo MuscarelloView profile

Senior Lecturer

• Aero-Servo-Elasticity
• Rotorcraft Dynamics
• Urban Air Mobility
• +6 more

Dr. Vincenzo Muscarello is a Senior Lecturer in the Department of Aerospace Engineering and Aviation at RMIT University's School of Engineering. He has held academic positions including Assistant Professor at Politecnico di Milano (2018–2022) and a Postdoctoral Researcher there (2013–2018), as well as an Honorary Research Fellow at the University of Liverpool (2012). He obtained a Master's in Aeronautical Engineering (2009) and a PhD (2013) from the Polytechnic University of Milan. His research focuses on aero-servo-elasticity and rotorcraft dynamics, with particular emphasis on multidisciplinary modeling for aircraft and rotorcraft design, verification, and certification. Current research areas include advanced/urban air mobility, aeroservoelasticity of fixed- and rotary-wing aircraft, distributed electric propulsion systems, and development of digital twins for loads prediction and fatigue life assessments. He led the Clean Sky 2 'Formosa' project, which aimed to design innovative control surfaces for NextGen Civil Tiltrotors in collaboration with Leonardo Helicopters. Muscarello supervises research projects such as 'Exploring Aeroelastic Stability...' and 'SafeSky: Fusion...'. He is open to supervising Masters/PhD students and collaborating on industry projects. His work integrates computational fluid dynamics (CFD), multibody dynamics, and real-time simulations to address aeroelastic stability and vibration control challenges. Key collaborations and initiatives include the Formosa Clean Sky 2 project and partnerships with industry and academic institutions. His research contributes to the advancement of tiltrotor technology, urban air mobility, and rotorcraft safety and efficiency.

Gonzalo PitaView profile

Researcher

• Natural Disaster Risk Modeling
• System Dynamics
• Risk-Based Asset Management
• +5 more

Gonzalo Pita is an Associate Research Scientist and Director of the MSc in Systems Engineering Program at the Department of Civil and Systems Engineering at Johns Hopkins University (JHU). He leads research and applied projects at the World Bank as a Senior Consultant since 2013, focusing on risk assessment, risk-based asset management systems, and disaster risk financing. His expertise spans natural disaster risk modeling, climate change impacts, structural vulnerability, and public policy design. Education: B.C.E. in structural engineering from Universidad Tecnologica Nacional (Argentina), M.Sc. in seismic engineering from Universidad Nacional de Cordoba, PhD from Florida Institute of Technology, and postdoctoral work at JHU. Research interests include catastrophe modeling, risk-based budgeting, system dynamics, and infrastructure resilience. He teaches courses in Natural Disaster Risk Modeling and System Dynamics. Key contributions include the Florida Public Hurricane Loss Model’s vulnerability module and analysis of seismic impacts in Argentina and Brazil. His work integrates interdisciplinary approaches to bridge theoretical models with practical policy applications, emphasizing disaster risk reduction and climate adaptation strategies.

• Marine Technology
• Offshore Engineering
• Computational Fluid Dynamics
• +7 more

Muk Chen Ong is a Professor of Marine Technology and Marine Operations at the University of Stavanger (UiS), Norway, and a member of the Norwegian Academy of Technological Sciences (NTVA). He leads the Ocean Technology Innovation Cluster Stavanger (OTICS) and holds editorial roles in journals like The Innovation Energy , Maritime Engineering , and Journal of Ocean Engineering and Marine Energy . His research focuses on offshore wind energy systems, marine aquaculture structures, computational fluid dynamics, and sediment dynamics. Education: PhD in Marine Technology (assumed based on faculty role) Research Interests: Dynamic analysis of offshore wind turbines, marine lifting operations, vortex-induced vibrations, computational fluid dynamics (CFD) with turbulence modeling, sediment transport around marine structures, and carbon capture utilization and storage (CCUS). Recent work emphasizes integrated systems like floating wind turbines combined with aquaculture farms and novel mooring designs. Publications Trends: Over 50 publications in 2024–2025 span mooring system optimization, fish cage structural modeling, and scour analysis. Key themes include AI-driven simulations (e.g., LSTM networks), hybrid energy systems, and environmental resilience of offshore infrastructure. Grants & Advising: No explicit grant details provided. Advises on editorial boards and collaborates internationally on projects like the IEA Wind Task 49 Reference Floating Wind Array. No listed students, but actively involves postdocs and industry partners. Labs/Teams: Leads OTICS, a cross-disciplinary cluster focusing on ocean technology innovation. Collaborates with institutions globally on offshore energy and aquaculture projects.

• Marine Engineering
• Renewable Energy
• Offshore Wind Energy
• +4 more

About Erin Bachynski-Polić Erin Bachynski-Polić is a Professor in the Department of Marine Engineering at NTNU. She holds a PhD from NTNU (2014) and a BSE/MS from the University of Michigan. Her research focuses on marine structures for renewable energy, including fixed and floating wind turbines, hydroelasticity, and design optimization. She has been involved in major projects like SFI BLUES (2020-2028) and FLOAWER (EU-funded). Key research areas include global analysis of wind turbine dynamics, higher-order wave loads, and mooring system design. She teaches courses such as TMR4182 Marine Dynamics and modules in TMR4505 and HAV6000/6001. Education PhD, Marine Engineering, NTNU (2014) MS & BSE, University of Michigan (2009–2010) Research Interests Her work addresses challenges in offshore wind energy, including hydroelastic interactions, mooring system optimization, and floating platform dynamics. She emphasizes experimental validation and computational modeling, with recent studies on wave load effects and structural fatigue analysis. Grants & Projects Notable projects include WAS-XL (2017–2021), Green Energy at Sea (2018–2022), and WindBarge (2023–2025). These projects focus on advancing offshore wind technologies, improving structural reliability, and reducing environmental uncertainties. Labs & Collaborations She collaborates with institutions like the University of Michigan and SINTEF. The HELOFOW project database (Zenodo) showcases experimental datasets from her lab.

• Offshore Geotechnics
• Submarine Landslides
• Wind Turbine Foundations
• +3 more

Gudmund Reidar Eiksund is a Professor at the Department of Civil and Environmental Engineering, Faculty of Engineering, NTNU. He holds a Dr. degree in Geotechnics from NTNU (1994) and has extensive experience in offshore geotechnics, having worked at SINTEF Geotechnics (1994–2005) and as a consultant at GeoPartner Marin AS (2005–2011). His research focuses on offshore geotechnical engineering, particularly foundation design for offshore wind turbines, submarine landslide dynamics, and soil-structure interaction. He leads studies on clay-rich submarine landslides using advanced numerical methods like the Material Point Method (MPM) coupled with computational fluid dynamics (CFD). Recent work includes analyzing seismic-induced landslide mechanisms and erosion effects on clays under rapid flows. Key research areas include geotechnical risk analysis for offshore structures, cyclic loading effects on monopiles, and probabilistic modeling of soil behavior. His work integrates geotechnical and structural analyses for offshore wind turbines, emphasizing cost reduction through optimized designs. Collaborations involve institutions like SINTEF, CRC Press, and international partners such as the Japan Society of Civil Engineers. Eiksund has contributed to over 50 peer-reviewed articles and conference papers since 2017, focusing on offshore wind foundations, submarine landslide modeling, and soil mechanics. His research bridges experimental testing (e.g., centrifuge tests, physical model tests) with computational methods (CFD-MPM, finite element models). He advises on geohazard mitigation strategies and participates in projects like REDWIN, aiming to reduce offshore wind energy costs through integrated geotechnical-structural design. Notable contributions include developing macro-element models for monopile foundations, evaluating pile driving effects on slope stability, and assessing frost-induced soil behavior through x-ray tomography. His work addresses challenges in heterogeneous soil conditions, installation effects, and long-term reliability of offshore infrastructure under cyclic loading and seismic events.

Matthew RevieView profile

Professor

• Risk Analysis
• Decision Making Under Uncertainty
• Reliability Engineering
• +7 more

Matthew Revie is a Professor and Head of the Department of Management Science at the University of Strathclyde's Strathclyde Business School. His research focuses on Risk Analysis, Decision Making under Uncertainty, and Reliability Engineering, with emphasis on industrial applications in energy sectors like offshore wind, nuclear, and utilities. He co-founded the Risk Consortium and the Centre for Informed Decision Analytics (IDeA) to bridge academic-industry collaboration. Revie holds a PhD (2007), MSc (2003), and BSc (2002) in Mathematics and Operational Research from the University of Strathclyde and Glasgow. He teaches risk management and decision-making tools to postgraduate and practitioner audiences globally, including roles at SSE and Iberdrola. His research interests span RAM modeling, statistical/machine learning for big data, Bayesian Networks, and discrete event simulation. Recent work includes optimizing offshore wind farm logistics, predictive maintenance, and climate impact modeling. He has supervised 5 PhD students and manages KE staff and postdocs. Revie received the 2016 Scottish Knowledge Exchange Award for Multi-Party Collaboration. He serves on the editorial board of the IMechE Journal of Risk and Reliability and the European Safety and Reliability Data Association board, and is a Fellow of the Operational Research Society. His projects include AI utilization reviews for ScottishPower, rail safety modeling, and EU-funded initiatives. Collaborations span energy, transport, and defense sectors.

• Vehicle Design
• Sustainable Engineering
• Aerodynamics
• +5 more

Ciarán O'Reilly is an Associate Professor and Docent in Conceptual Vehicle Design at KTH Royal Institute of Technology, Sweden. He leads the Conceptual Vehicle Design group within the KTH Engineering Mechanics department and directs the Centre for ECO2 Vehicle Design. His research focuses on holistic methodologies to address functional conflicts in vehicle design, combining mechanical engineering principles with multidisciplinary approaches. Key areas include life cycle energy optimization, sustainable design, crosswind dynamics, and noise impact assessment. He teaches courses such as Sustainable Vehicle Design (course responsible), Vehicle Engineering, and supervises degree projects. His academic roles emphasize synergizing research with pedagogical activities. Notable contributions include advancing frameworks for energy-efficient vehicle design, aerodynamic analysis of heavy ground vehicles under crosswind conditions, and applying network theory to complex design challenges. Recent work highlights include agent-based noise impact assessment models, barrier analysis for circular product design in the automotive sector, and manuscripts exploring remanufacturing viability and energy consumption under extreme crosswinds. His research bridges engineering disciplines, addressing both technical and systemic sustainability challenges in transportation systems.

Ronnie PedersenView profile

Part-Time Lecturer

• Wind Turbine Engineering
• Computational Mechanics
• Structural Dynamics
• +6 more

Ronnie Pedersen is a Part-time Lecturer at Aalborg University's Faculty of Engineering and Science, specifically within the Esbjerg Energy Section. His research focuses on wind turbine engineering, computational mechanics, structural dynamics, and pedagogical methods in university teaching. He has contributed to projects like the Structural Assessment of Operational Offshore Wind Turbines (2018-2021), serving as Project Coordinator. His work intersects energy systems with technical disciplines, including aerodynamics, material modeling, and aeroelasticity. Notable contributions include mesoscopic modeling of porous concrete behavior under impact and closed-loop wind turbine model updates using blade pitch excitation. Pedersen also engages in educational research related to engineering pedagogy and university teaching methodologies. Key Research Areas: Offshore wind turbine structural assessment, fatigue analysis, computational modeling, and engineering education. Recent Projects: Structural Assessment of Operational Offshore Wind Turbines (2018-2021). Publications span structural health monitoring, material failure analysis, and offshore foundation design. His work emphasizes practical applications in energy infrastructure and engineering education.

• Power Systems
• Electrical Engineering
• High Voltage Engineering
• +3 more

Robert Millar is a Senior University Lecturer at Aalto University's Department of Electrical Engineering and Automation, within the School of Electrical Engineering. His research focuses on power systems, high voltage engineering, and renewable energy integration. He is affiliated with the Power Systems and High Voltage Engineering research group. Key research interests include distribution network planning, smart grid technologies, and reliability engineering. His recent work addresses challenges in modernizing distribution systems to accommodate high renewable penetration, optimizing switch placement for reliability, and modeling nuclear power plant electrical safety. Notable contributions include frameworks for probabilistic hosting capacity assessment and MILP-based network optimization models. Millar has collaborated extensively on projects funded by initiatives like SAFIR (Nuclear Power Plant Safety Research). His teaching includes pandemic-proofing electricity distribution courses and developing engineering pedagogy for future competencies. He holds a Ph.D. in electrical engineering and has advised numerous interdisciplinary projects in energy systems.

Haichao WangView profile

Research Fellow

• Energy Systems
• Thermal Engineering
• District Heating Optimization
• +3 more

Haichao Wang is an Academy Research Fellow at Aalto University's Department of Mathematics and Systems Analysis, School of Science. His research focuses on energy systems optimization, thermal engineering, and sustainable building technologies. He holds a prominent role in advancing district heating systems, renewable energy integration, and modeling thermal storage solutions. Research Interests Wang specializes in optimizing energy systems with particular emphasis on: Thermal energy storage and district heating networks Renewable energy integration (wind/solar) Data-driven demand response methods Phase change materials (PCMs) for building applications Recent Work His latest research (2023-2025) emphasizes: Wind power utilization optimization Modular phase change floor systems Dynamic district heating network simulations Multi-criteria control strategies for thermal comfort Grants & Projects Active in collaborative projects like: SHREC (Smart Hybrid Renewable Energy Communities) Modular thermal storage solutions Waste heat recovery systems Labs & Teams Part of the Nonlinear Partial Differential Equations (NPDE) research group and collaborates with the Operations Research and Systems Analysis unit.