Dr. Shashank Gupta is a Senior Lecturer at the School of Architecture and Built Environment , University of Wolverhampton. With a PhD in Civil Engineering from K.U. Leuven (Belgium), MSc in Computational Engineering from Ruhr University Bochum (Germany), and BTech from IIT Guwahati (India), his academic background spans structural dynamics and resilience engineering. Qualifications: PhD in Civil Engineering (2008) MSc in Computational Engineering (2004) BTech in Civil Engineering (2002) Research Interests: Structural dynamics and vibrations Extreme load mitigation (blast, earthquake, fire) Railway-induced vibration prediction Resilient infrastructure design Scientific Awards: Chartered Member of Institution of Structural Engineers (UK) Fellow of Higher Education Academy (FHEA) Industry Experience: 10+ years in global consultancy (oil & gas, nuclear, railways, defense) Former roles at MMI Engineering (Thornton Tomasseti)
Fadi Al Machot is an Associate Professor at the Department of Data Science, Norwegian University of Life Sciences (NMBU), specializing in machine learning and human-centered AI systems. His work bridges computational intelligence with practical applications in active and assisted living, emotion/activity recognition, and multimodal sensor analytics.
Leon Mishnaevsky Jr. serves as Senior Scientist at the Technical University of Denmark (DTU) Department of Wind and Energy Systems and Privatdozent (Lecturer) at Technical University of Darmstadt, Germany. His research bridges computational materials science and wind energy engineering, focusing on durability challenges in renewable energy infrastructure. He leads the Composites Analysis and Mechanics group within DTU's Wind Energy Materials and Components Division, directing critical investigations into blade erosion mechanisms and sustainable material solutions. His research portfolio centers on wind turbine blade integrity , with expertise spanning computational mesomechanics, nanosimulation of composites, and erosion modeling. Key focus areas include rain/solid-particle leading-edge erosion, self-healing composite systems, microplastic pollution mitigation, and sustainable blade lifecycle management. His methodologies integrate multiscale modeling, experimental validation, and field data analysis to address real-world engineering failures in extreme environments. Analysis of recent publications reveals dominant trends in erosion prediction (72% of works), composite recycling (18%), and self-healing materials (10%). The field increasingly emphasizes probabilistic modeling of stochastic damage processes, nanoreinforced protective coatings, and environmental impact quantification – particularly microplastic emissions from blade degradation. Computational frameworks now prioritize multi-physics coupling (fluid-structure interaction, thermomechanics) and AI-enhanced predictive capabilities. Stanford’s list of top 2% scientists in the world Research.com list of Top Materials Scientists globally Author of 3 authoritative textbooks including Computational Mesomechanics of Composites (Wiley) As principal investigator, he directs 5 major projects including PREMISE (€2.3M Velux Foundation grant preventing microplastic pollution) and WiseWind (Innovation Foundation project for sustainable blades). His supervision portfolio includes 4 PhD/Master's students working on erosion modeling and repair techniques. Current grants total over €8M from Danish/EU sources, with strong industry partnerships across Germany, India, and France. He chairs the DURALEDGE consortium developing durable leading-edge protection systems for 25+ MW offshore turbines. Mishnaevsky coordinates DTU's Wind Energy Materials and Components Division, which operates advanced testing facilities for erosion simulation, composite characterization, and digital twin development. His team collaborates with the IEA Wind Task 46 Erosion group and maintains the PREMISE field-testing site in Roskilde. Recent initiatives include the MAINTAINERGY project establishing India-Denmark repair standards and the NEXTgenT consortium designing next-generation turbine rotors.
Assoc. Prof. Dr. Seçil Karatay is an Associate Professor at Kastamonu University's Faculty of Engineering and Architecture, Department of Electrical-Electronics Engineering. She holds a PhD in Physics from Fırat University (2010), an MSc in Physics (2005), and a BSc in Physics (2001). Her academic career spans roles including Department Head (2013-2017), Dean Assistant (2013-2016), and Director of Research Application Center (2016-2021). PhD: Physics, Fırat University, 2005-2010 MSc: Physics, Fırat University, 2002-2005 BSc: Physics, Fırat University, 1997-2001 Her research focuses on Signal Processing and Ionospheric Physics , particularly analyzing ionospheric disturbances related to seismic activity and space weather phenomena. She has pioneered algorithms like IONOLAB-FFT and Differential Rate of TEC (DROT) for detecting geophysical effects in ionospheric data. Her work spans machine learning applications for earthquake prediction, GPS-TEC analysis , and seasonal atmospheric variability studies. Recent publications highlight her expertise in 2023 Kahramanmaraş earthquakes ionospheric impact analysis, LSTM algorithm for disturbance classification, and Random Forest models for seismic precursor detection. With over 60 publications and citations exceeding 230, her research has significant SCI/SSCI indexing presence. Collaborations include Feza Arıkan (29 joint works), Ali Çınar (19), and Orhan Arıkan (14).
M. Reza Hashemi is a Professor of Ocean Engineering at the University of Rhode Island , actively engaged in research related to coastal resilience, ocean renewable energy, and hydrodynamic modeling. He directs the Wave-Current Interaction Laboratory at the Narragansett Bay Campus, focusing on advanced numerical techniques and experimental analysis. Education: Ph.D. in Oceanography, Bangor University of Wales (2014) Ph.D. in Civil/Hydraulic Engineering, Shiraz University (2006) M.S. in Civil Engineering, Shiraz University (1999) B.S. in Civil Engineering, Shiraz University (1997) Research Interests: Dr. Hashemi specializes in numerical modeling of wave-current interactions, storm surge, and sediment transport. His work integrates tools like ROMS, TELEMAC, and machine learning to address coastal hazards, renewable energy systems, and climate change impacts. He applies advanced methods such as Smoothed Particle Hydrodynamics (SPH) and Radial Basis Function-Based Meshless Techniques. Publication Trends: Recent studies emphasize hurricane-induced loads on offshore wind farms, sea-level rise implications for tidal energy, and machine learning applications in hydrological modeling. His collaborations span institutions like the University of Rhode Island, Bristol Channel researchers, and the Gulf of Maine community. Grants: Dr. Hashemi has secured funding from the Department of Energy and coastal management councils, focusing on floating offshore wind farms, groundwater contributions in coastal areas, and dredging impacts on circulation systems.
Mats Ainegren is a Senior Lecturer (Associate Professor) at Mid Sweden University's Department of Engineering, Mathematics and Subject Didactics. He serves as Head of the Wind Tunnel Laboratory at the Sports Tech Research Centre in Östersund. His research focuses on Sports Technology and Sports Physiology, specifically examining human-equipment interactions, biomechanics, performance optimization in cross-country skiing, cold asthma prevention in athletes, and aerodynamics in winter sports. His research encompasses: Equipment testing (roller skis, breathing devices) Environmental physiology (sub-zero performance, airway responses) Biomechanical modeling Aerodynamic effects in endurance sports Ainegren's recent publications (2020-2024) predominantly investigate respiratory mechanics in cold environments, aerodynamic efficiency in skiing, and validation of sports equipment. He directs significant infrastructure projects including the development of specialized climatic wind tunnels for sports research. Teaching responsibilities include: Anatomy and Physiology Applied Measurement Technology Project Management Scientific Methodology He also serves as Program Manager for the Sports Technology Bachelor's degree.
Liang Yong serves as Associate Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management. Currently maintaining office hours on Thursdays at 10:00 in Room B424 of Lihua Building, he teaches undergraduate, doctoral, and MBA courses including Production and Operations Management, Advanced Operations Research, and Data, Models, and Decision Making. His educational background includes a B.A. in Engineering Physics from Tsinghua University (2005), Master's in Nuclear Engineering from Purdue University (2008), and Ph.D. in Industrial Engineering and Operations Research from UC Berkeley (2013). Prior to academia, he worked as a Quantitative Analyst at Google Inc. (2013-2014). Liang's research focuses on Data-Driven Decision Analytics , Supply Chain Disruption Management , and Mechanism/Contract Design , with particular emphasis on integrating learning algorithms with operations research. His work addresses critical challenges in omnichannel retail, energy systems, and transportation networks. His 11 recent publications in premier journals like Operations Research and Manufacturing & Service Operations Management demonstrate consistent contributions to operations analytics, with notable recognition including the 2019 POMS-JD.com data-driven paper competition winner prize. Winner prize, POMS-JD.com data-driven paper competition (2019) He actively supervises PhD students, both independently and through co-advisement with faculty like Jian Chen and Yongbo Xiao. His research addresses practical industry challenges through collaborations with major technology companies and government entities, with current work focusing on resilient supply chain design and smart energy systems.
Markus Gehnen is a Professor of Electrical Systems and High-Voltage Engineering at TH Georg Agricola , with a focus on electrical engineering, information technology, and industrial engineering. He serves as Deputy Head of the Electrical Measurement Technology and Electrical Machines Laboratories, including Power Electronics. His research spans transformer monitoring, building automation in residential construction, and lighting technology. Education: RWTH Aachen (PhD in Electrical Engineering, 1993) Professional Timeline: AEG Lichttechnik (1993-1997), TH Georg Agricola (since 1998), Vice Rector (2005/06) His teaching includes electrical systems, high-voltage technology, and building systems technology. Publications emphasize lighting control systems, energy-efficient lighting, resonance phenomena in transformers, and integrated building management. He contributes to symposia on innovative lighting and transformer diagnostics. Key collaborations include Gharepetian (resonance analysis) and Möller (remote control systems). Research keywords: electrical engineering, building automation, high-voltage engineering, lighting technology. Affiliated with laboratories in electrical measurement and power electronics.
WASEDA Takuji serves as Professor at the Graduate School of Frontier Sciences, University of Tokyo, specializing in Physical Oceanography and Ocean Engineering with research focused on prediction and observation of ocean waves, currents, and winds. His work addresses critical challenges in marine safety and climate adaptation. His research portfolio spans: Arctic/Antarctic sea ice dynamics including melting mechanisms and long-term variation Wave-ice interactions and icebreaker performance optimization Extreme weather-ocean event modeling (mega-storms, typhoons) Marine renewable energy systems and ocean information infrastructure Current research trends show increasing emphasis on climate change impacts in polar regions, with projects integrating field observations from icebreakers with advanced numerical modeling. His work bridges fundamental ocean physics with practical maritime applications. Professor WASEDA maintains an active research program through multiple competitive grants: Principal Investigator for Grant-in-Aid for Scientific Research (S) project on Antarctic fast ice (2025-2029) Lead on Arctic sea ice melting modeling (Grant-in-Aid B, 2025-2028) Development of global Wave-Argo-Typhoon observation system (2020-2024) Investigations into ice-structure interactions using material point methods His research group conducts experimental work in ice tank facilities while collaborating with international icebreaker operations for field data collection in polar regions, focusing on translating oceanographic insights into maritime safety solutions.
Professor Jim Wild is a leading academic in Space Physics at Lancaster University and the Royal Astronomical Society's President-Elect (2025-26) , advancing to President in 2026. His work bridges solar-terrestrial physics, space weather impacts on infrastructure, and planetary interactions. As head of the Space and Planetary Physics group, he leads 20 researchers, integrating satellite data and Arctic field experiments. Research Interests Aurora Borealis mechanisms Space weather risks for railways and power grids Martian atmospheric interactions Magnetospheric dynamics Policy and industry engagement Recent Publications 2025 work on Venusian magnetospheric forces and Martian magnetic boundaries 2023-2022 studies on GIC impacts and ionospheric dynamics Scientific Recognition Royal Astronomical Society James Dungey Lectureship (2018) Fellow of the Royal Astronomical Society (FRAS) Senior Fellow of the Higher Education Academy (SFHEA) Additional Contributions Leadership in STFC grant panels (2017-2022) External Examiner at University of Manchester (2022-25) ESA Academy lecturer on space weather training (2023)
Jorge Costoya Noguerol is a researcher in Applied Physics at the Faculty of Marine Sciences, University of Vigo, affiliated with the Marine Research Center and EphysLab research group. His work focuses on oceanographic and climate modeling, renewable energy resource assessment, and environmental impacts of energy systems. PhD in 2016 from the University of Vigo Advisor: Dr. Moncho Gómez Gesteira and Dr. Maria Teresa de Castro Rodríguez Research interests include climate change impacts on marine systems , wave and wind energy feasibility , and computational modeling . Key projects involve Proyecto CAPTA (Blue Carbon for climate neutrality) and educational initiatives like FOSTERING COMPUTATIONAL PROFICIENCY IN OCEANOGRAPHY STUDENTS . 2025 publications highlight floating offshore wind farm optimization in Atlantic Europe, neural network-based river flow projections , and climate change-driven wave energy assessments . Methodologies include WaveWATCH III and WRF simulations for downscaling climate data. Collaborations span Galician coast wave energy , Iberian Peninsula wind resources , and international climate modeling comparisons (e.g., CMIP6 vs. CMIP5).
Nikolas Angelou is a Senior Researcher at the Department of Wind and Energy Systems, Danish Technical University (DTU), specializing in meteorology, remote sensing, and wind energy systems. His work integrates advanced lidar technologies with atmospheric physics to address critical challenges in wind energy development. Research Focus: Wind-tree interactions, floating offshore wind turbines, lidar turbulence measurements, and atmospheric flow characterization Key Projects: T-lidar (temperature lidar), LICOREIM (lidar-assisted control), and Single Tree Experiment Technical Expertise: Doppler lidar systems, WRF-LES simulations, 3D wind field analysis, and motion correction algorithms Collaborations: National Center for Atmospheric Research (USA), academic institutions in Spain, and cross-disciplinary teams in Denmark His recent publications highlight innovative studies on wind load estimation for trees, turbine wake characterization, and lidar measurement optimization. Angelou contributes to the UN Sustainable Development Goals through his wind energy research.
Jan Martin Zepter is a Postdoctoral Researcher at DTU's Department of Wind and Energy Systems, specializing in distributed energy resource modeling with emphasis on electric vehicle-grid integration and renewable energy systems. His work directly supports European decarbonization initiatives through projects like EV4EU and INSULAE. His academic journey includes: Ph.D. in Wind and Energy Systems, Technical University of Denmark (2019-2023) M.Sc. in Sustainable Energy Systems, Norwegian University of Science and Technology (2016-2019) Dual M.Sc. in Industrial Engineering (Electrical Engineering focus), Technical University of Berlin (2016-2019) B.Sc. in Industrial Engineering, Technical University of Berlin (2013-2017) Dr. Zepter's research bridges technical and economic domains, developing advanced models for virtual power plants , degradation-aware battery operation , and local flexibility markets . His fingerprint reveals dominant expertise in Electric Vehicle Engineering (100%), Energy Engineering (52%), and Battery Systems (46%), with growing contributions to DC Microgrids and Photovoltaics integration. He pioneers methodologies combining receding horizon optimization with real-world market constraints to enable high renewable penetration. His 15 most recent publications (2024-2025) demonstrate three critical trends: (1) Techno-economic analysis of PV-powered EV charging infrastructure, (2) Degradation-cost integration in battery market participation, and (3) Local flexibility market designs for distribution networks. These works establish novel frameworks for consumer-centric energy markets while addressing grid stability challenges through distributed resources. As an active supervisor, Dr. Zepter guides four PhD candidates—D. M. Santos (degradation-aware V2G), M. Ledro (battery-hybrid systems), A. Malkova (EV-powered plants), and X. Cao (EV management)—across European projects with combined funding exceeding €15M. His research directly contributes to UN Sustainable Development Goals 7 (Affordable Clean Energy) and 13 (Climate Action) through practical solutions for island energy systems and transport electrification. Based at DTU's Wind and Energy Systems department, he collaborates with industry partners on real-world demonstrations including Bornholm Island's virtual power plant and Madeira's replication initiatives, focusing on scalable solutions for renewable integration in constrained grids.
Markus Scheinert is a Researcher in the Ocean Dynamics group within the Ocean Circulation and Climate Dynamics division at GEOMAR Helmholtz Centre for Ocean Research in Kiel, Germany. His office is located in Room 3.306, Building 5 (ENB) at GEOMAR's main campus. He maintains an active research program focused on ocean circulation dynamics with particular emphasis on the North Atlantic region. Dr. Scheinert completed his PhD in 2008 at Christian-Albrechts-Universität Kiel with a dissertation titled "Causes and Impacts of northern North Atlantic Freshening." Prior to that, he completed his Diploma thesis in 2003 on "Mechanisms of low-frequency fluctuations of the western boundary current in the subpolar North Atlantic." He also conducted a research visit at Helsinki University's Division of Geophysics in 2004. His primary research interests include the dynamics and variability of the Subpolar North Atlantic gyre and western boundary current, Arctic and Sub-Arctic freshwater budget, and ocean circulation modeling. His work often involves high-resolution ocean modeling to understand climate-relevant processes in the Atlantic and Pacific Oceans. Analysis of his recent publications (2016-2025) reveals a strong focus on ocean circulation modeling, particularly examining the Atlantic Meridional Overturning Circulation, Agulhas Current system, and freshwater dynamics in the North Atlantic. His research increasingly incorporates software engineering aspects for scientific computing, reflecting the growing importance of computational infrastructure in modern oceanography. His work spans both fundamental ocean dynamics and climate-relevant processes, with recent publications addressing fine-scale climate simulations and data infrastructure development. Dr. Scheinert has been actively involved in numerous collaborative research projects, including the DRAKKAR initiative for high-resolution ocean modeling and the development of the Flexible Ocean and Climate Infrastructure (FOCI). His research often involves international collaborations with institutions across Europe and beyond, as evidenced by his participation in various workshops and conferences worldwide. He maintains a strong presence in both oceanographic research and scientific software development, with recent work addressing practical aspects of software engineering in marine research contexts. His laboratory work centers around computational oceanography using advanced modeling frameworks like NEMO and ORCA, with particular expertise in analyzing model outputs related to circulation patterns and climate variability.
Dr. Jinwei Shen is an Associate Professor in the Department of Aerospace Engineering and Mechanics at the University of Alabama's College of Engineering. His office is located in room 215 Hardaway Hall. Education Ph.D., Aerospace Engineering, University of Maryland, College Park, 2003 M.S., Aerospace Engineering, University of Maryland, College Park, 1998 B.S., Aerospace Engineering, Beijing University of Aeronautics and Astronautics, 1992 Research Focus Dr. Shen's research integrates advanced computational modeling with experimental validation to advance rotorcraft and electric aircraft technologies. He investigates rotorcraft aeromechanics , focusing on tiltrotor whirl flutter, propeller stability, and multi-body dynamics. His work on smart structures and adaptive materials enables active control of vibration and noise in aerospace systems. Additionally, he explores artificial intelligence and machine learning applications in autonomous flight systems and high-performance computing environments. Recent Publication Trends Over the past decade, Dr. Shen's publications emphasize whirl flutter stability assessments of distributed electric propulsion systems, particularly surrounding NASA's X-57 Maxwell aircraft. His studies correlate wind-tunnel measurements with high-fidelity multibody dynamics simulations to predict aeroelastic instabilities. Emerging themes include foldable-propeller dynamics, low-Reynolds-number fountain effects in multi-rotor interactions, and CFD-driven airfoil optimization for high-lift propellers. Research Centers & Collaborations Dr. Shen is affiliated with several interdisciplinary centers, including: Alabama Center for the Advancement of AI Center for Advanced Vehicle Technologies Center for Advanced Manufacturing and Materials Design Integration Center for Sustainable Infrastructure Remote Sensing Center These partnerships provide collaborative opportunities spanning electric propulsion, AI-enabled autonomy, advanced materials, and infrastructure health monitoring.
