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Ahmet Mete VURALView profile

Professor

Gaziantep UniversityTurkey

Professor Ahmet Mete Vural is a faculty member at Gaziantep University, Faculty of Engineering , specializing in Electrical and Electronics Engineering . He holds a PhD in Electrical Engineering from Çukurova University (2012) and has taught courses like Power System Dynamics, Advanced Power Conversion, and High Voltage Techniques since 2004. Education: PhD (2012), MSc (2001), BSc (1999) from Gaziantep University His research focuses on power electronics , modular multilevel converters , renewable energy integration , and smart grid technologies . He has developed innovative control schemes for battery storage systems and STATCOM devices, with a strong emphasis on power quality improvement and oscillation damping . Recent publications analyze advanced control strategies for modular multilevel converters and renewable energy systems . His work combines theoretical modeling with experimental validation, particularly in STATCOM design and high voltage techniques . Professor Vural supervises 28 master's and 7 doctoral theses , including topics on wind energy conversion systems, battery storage, and power flow control. He serves as an editor for Turkish Journal of Electrical Engineering and International Transactions on Electrical Energy Systems .

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Alex NovoselovView profile

Assistant Professor

University of UtahUnited States

Alex Novoselov serves as Assistant Professor in the Department of Mechanical Engineering at the University of Utah's College of Engineering, specializing in combustion dynamics and sustainable energy systems. His research encompasses: Hydrogen and ammonia combustion for decarbonization Turbulent boundary layer flashback phenomena Deflagration to detonation transition (DDT) Hybrid rocket propulsion systems Cool flame dynamics and low-temperature combustion Recent publications (2020-2025) reveal a strong computational focus using Large Eddy Simulation and manifold-based reduced-order models to address safety challenges in gas turbines and rocket engines. His work increasingly investigates ammonia/hydrogen blends as sustainable aviation fuels while maintaining core expertise in flashback dynamics. Dr. Novoselov mentors undergraduate researchers through the Summer Program for Undergraduate Research (SPUR), emphasizing project relevance, achievable milestones, and presentation skill development. His NSF CAREER award supports fundamental research on lean hydrogen flame stability in gas turbines. His computational research group develops advanced simulation frameworks for complex reacting flows, contributing to next-generation propulsion and power generation technologies.

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Thomas Bligh ScottView profile

Professor

University of BristolUnited Kingdom

Professor Thomas Bligh Scott is a leading academic in the Department of Materials at the University of Bristol, specializing in radioactive materials, corrosion, and environmental remediation. He serves as Academic Lead for the Sellafield UK Centre of Expertise for Uranium and Reactive Metals. Developed Advanced Airborne Radiation Monitoring (AARM) system (2014 RAEng ERA award) Innovated diamond-based radiation detection technology Research focuses on iron mineral geochemistry for radionuclide uptake Research Interests: His work spans nuclear materials ageing, uranium geochemistry, reactor steel corrosion, and diamond-based energy harvesters. Key applications include radioactive waste management, environmental remediation, and radiation detection. Collaborations: Active with Sellafield, CERN, EDF Energy, and AWE. Funded by EPSRC, STFC, NERC, NATO, Royal Society, and Royal Academy of Engineering. Scientific Awards: RAEng ERA Award for Innovation (2014) Frontiers in Nuclear Engineering Recognition (2022)

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Toomas PlankView profile

Associate Professor

University of TartuEstonia

Toomas Plank is an Associate Professor of Plasma Physics and Computer Engineering at the Institute of Physics, Faculty of Science and Technology, University of Tartu. He has been with the University of Tartu since 1996, progressing from Assistant to his current position as Associate Professor. He also served as Director of the Institute of Physics from 2018 to 2026 and as Deputy Director from 2013 to 2017. Dr. Plank earned his PhD in Physics (specializing in optics and spectroscopy) from the University of Tartu in 2002, with a dissertation titled "Positive corona at combined DC and AC voltage." He received his Master's degree in Physics from the same institution in 1995. He has also spent time as a French Government Grantee at SUPELEC (Paris High School of Electricity) in 1995 and 1997. His research spans two main areas: plasma physics and e-learning quality assurance. In plasma physics, his work focuses on gas discharge phenomena, corona discharges, laser-induced breakdown spectroscopy, and plasma applications in medicine. His research in e-learning centers on quality assurance frameworks for digital education. He has published extensively in both fields, with over 58 publications including journal articles, conference papers, and book chapters. Dr. Plank is actively involved in the academic community, serving on the council of the Faculty of Science and Technology at the University of Tartu since 2018, and as a member of the digital education quality working group at the Estonian Quality Agency for Education since 2024. He has organized several international conferences on functional materials and nanotechnologies. His work demonstrates a unique interdisciplinary approach, bridging fundamental plasma physics research with practical applications in energy, medicine, and education technology. His recent publications show a continued focus on plasma diagnostics, ionization processes in various gas mixtures, and plasma applications in cancer treatment, alongside ongoing contributions to e-learning quality frameworks.

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Lim Jin-heeView profile

Professor

Sejong UniversitySouth Korea

Professor Lim Jin-hee serves in the Department of Bioresource Engineering at Sejong University's College of Life Sciences, where he has been a faculty member since 2011. Previously, he worked as an Agricultural Researcher in the Floriculture Department at the National Institute of Horticultural and Herbal Science, Rural Development Administration from 1993 to 2010. His research focuses on floriculture genetics and breeding, with particular expertise in developing new chrysanthemum varieties through traditional breeding techniques. His work encompasses standardization of floriculture phenotypes, genetic analysis of useful traits, functional substance analysis, and development of industrial materials from ornamental plants. He also investigates IT integration in floriculture facilities and establishment of distribution systems. Professor Lim's recent publications reveal a strong trend toward integrating artificial intelligence with traditional horticulture research, particularly using deep neural networks for disease recognition and phenotypic analysis in chrysanthemums. His work spans plant physiology, postharvest technology, phytochemistry, and molecular breeding, with significant contributions to understanding antioxidant properties in chrysanthemum species and developing eco-friendly floral preservation techniques. His laboratory, the Floriculture Genetics and Breeding Research Lab (Da214C), has produced numerous patents related to cut flower longevity enhancers derived from natural extracts like Coptis chinensis and Gardenia jasminoides, as well as breeding novel chrysanthemum varieties with distinctive characteristics. Professor Lim actively contributes to the field through frequent presentations at the Korean Society for Horticultural Science meetings and has developed several patented technologies for cut flower preservation and breeding. His research bridges traditional plant breeding with modern computational approaches, addressing both fundamental scientific questions and practical industry applications in floriculture.

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Dogan AltanView profile

Research Fellow

University of OsloNorway

Dogan Altan serves as a Postdoctoral Fellow at Simula Research Laboratory within the Department of Validation Intelligence for Autonomous Software Systems. His research focuses on developing artificial intelligence solutions for maritime safety and operational efficiency, leveraging advanced machine learning techniques to address complex vessel navigation and performance challenges. His primary research interests include maritime anomaly detection, vessel traffic prediction, and physics-informed neural modeling for shaft power optimization. Altan specializes in integrating sensor data, passage plans, and environmental features into deep learning frameworks to enhance predictive accuracy in maritime contexts. Key methodologies involve transfer learning, trajectory segmentation, and multi-stream anomaly identification systems applicable to both vessel operations and robotic manipulation. Analysis of his publication trends reveals a consistent focus on transforming maritime domain knowledge into robust AI frameworks. Recent work demonstrates innovation in temporal graph analysis for port classification, transformer-based waypoint detection, and physics-guided hybrid models that bridge engineering principles with neural network architectures. His contributions span theoretical algorithm development and practical implementations validated through real-world maritime datasets.

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Abdelhakim SAIMView profile

Senior Lecturer

Nantes UniversityFrance

Dr. Abdelhakim SAIM serves as a Senior Lecturer in the Department of Electrical Engineering at Polytech Nantes, University of Nantes, where he teaches Power electronics, analog electronics, electrical system control, and introduction to Smart Grids. His academic home is the Department of Electrical Engineering within Polytech Nantes at the Gavy Campus in Saint-Nazaire. Dr. Saim's research focuses on the control of electrical microgrids, power electronic converters, power quality and stability of microgrids, and maritime microgrids. His work bridges theoretical control strategies with practical implementation, addressing critical challenges in renewable energy integration and grid stability. He has developed advanced control methodologies including adaptive fuzzy control, fractional controllers, and virtual impedance techniques to enhance microgrid performance. Analysis of his publication trends from 2016-2026 reveals a consistent research trajectory with increasing emphasis on AI applications for microgrid design, maritime electrical systems, and optimal energy management in multi-energy systems. His work spans theoretical control algorithms to practical implementation in renewable energy systems, with particular attention to stability challenges in islanded operations. Dr. Saim maintains an active research program with numerous collaborations, particularly with Josep M. Guerrero, Azeddine Houari, and Mohamed Machmoum. His supervision likely focuses on graduate students working on microgrid control systems, power electronics, and renewable energy integration. While specific grant information isn't detailed, his continuous publication record suggests ongoing research funding. His research group appears to focus on practical implementation of advanced control strategies for electrical systems, with growing interest in maritime applications and AI-enhanced microgrid management. Students in his group would gain expertise in both theoretical control methods and hands-on implementation of power electronic systems for modern energy applications.

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David DempseyView profile

Associate Professor

University of CanterburyNew Zealand

David Dempsey is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Canterbury's Faculty of Engineering, where he has been affiliated since December 2020. He leads the Subsurface Engineering Group, addressing critical challenges for a low-emissions future. His research integrates geomechanics, machine learning, and fluid dynamics across four key areas: Carbon Dioxide Removal : Designing systems to combust forestry waste and sequester CO₂ in geothermal reservoirs. Underground Hydrogen Storage : Modeling hydrogen injection/recovery in depleted gas fields. Volcanic Forecasting : Developing real-time ML systems for eruption prediction using seismic data. Induced Seismicity : Quantifying earthquake risks from energy projects. His recent publications (2021-2025) show a strong focus on machine learning applications in geohazards and energy storage, with themes including seismic forecasting, CO₂-hydrogen geostorage, and wildfire prediction. Numerical modeling and data-driven approaches dominate his methodology. He actively supervises 13+ graduate students on projects such as hydrogen geostorage, volcanic forecasting, and flood prediction. His group collaborates with industry on geothermal and seismic risk projects, leveraging real-time data from networks like GeoNet.

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Jan GärtnerView profile

Research Fellow

University of StuttgartGermany

Jan Gärtner is a Research Fellow at the Institute for Reactive Currents (IRST) within the University of Stuttgart, Germany, where he has been affiliated since 2018. He transitioned from PhD student and scientific staff (2018–2024) to his current Postdoctoral Researcher role in 2025. His academic background includes: B.Sc. in Mechanical Engineering, University of Stuttgart (2011–2015) M.Sc. in Power Engineering, University of Stuttgart (2015–2018) Dr. Gärtner specializes in computational modeling of thermodynamic phenomena, with core expertise in flash evaporation dynamics within cryogenic liquid systems. His work integrates Thermodynamics , Fluid Mechanics , and Numerical Simulation to address phase-change challenges in low-temperature engineering applications. Scientific recognition: No awards specified in available documentation Advising and funding details remain undisclosed, though consultation hours are held Fridays 2:00–3:00 PM at Pfaffenwaldring 31, Room 03.318. His research infrastructure appears embedded within IRST's broader reactive currents framework without dedicated lab branding.

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Carmen StraubView profile

Researcher

University of StuttgartGermany

Dr. Carmen Straub is a Researcher at the University of Stuttgart specializing in advanced computational modeling of combustion processes. Her work focuses on MMC-LES (Multi Moment Constrained Large Eddy Simulation) techniques for analyzing premixed and stratified combustion phenomena. Education: Diploma in Technomathematics, Karlsruhe Institute of Technology (2007-2014) Dr. Straub's research sits at the intersection of computational fluid dynamics and energy engineering, developing high-fidelity simulation methods to understand complex flame-turbulence interactions. Her work has significant implications for improving combustion efficiency and reducing emissions in propulsion and power generation systems. Professional Affiliations: Research Associate, University of Stuttgart (2014-present) Former employee at NuCOS Her expertise in turbulent combustion modeling contributes to advancing clean energy technologies through precise numerical simulation of reactive flows. Current research directions likely involve extending MMC-LES capabilities to increasingly complex fuel systems and industrial-scale combustion applications.

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Ryszard ZajczykView profile

Professor

Gdańsk University of TechnologyPoland

Prof. Ryszard Zajczyk is a Professor at the Department of Electrical Power Engineering within the Faculty of Electrical and Control Engineering at Gdańsk University of Technology. His office is located in Building 303, and he can be contacted via email at ryszard.zajczyk@pg.edu.pl or phone at +48583472098. His primary research explores: Voltage control mechanisms in power systems integrated with renewable energy sources Reactive power compensation strategies for transmission grids Optimization of low-voltage networks with photovoltaic systems Application of fuzzy logic for grid stability High-voltage infrastructure design and evaluation Recent publications (2018-2021) demonstrate a consistent focus on renewable energy integration challenges, particularly: Mitigation of voltage fluctuations in PV-equipped networks Advanced compensator technologies for transmission systems Control systems for distributed renewable generation Infrastructure design for high-voltage transmission projects No scientific awards or student advising information is mentioned in available sources. Laboratory affiliations and research group details were not specified.

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Stefan SchoriView profile

Lecturer

Bern University of Applied SciencesSwitzerland

Stefan Schori is a Lecturer at Bern University of Applied Sciences in the Department of Electrical Engineering and Information Technology within the School of Engineering and Computer Science. He serves as Group Leader for Electricity Networks and conducts research at the Institute for Energy and Mobility Research (IEM) and the BFH Energy Storage Center. Dr. Schori also represents the Engineering and Computer Science Department in the Sustainable Development Commission of BFH. His primary research interests focus on electrical energy supply systems with decentralized generation, storage and flexible consumers. He specializes in planning and operation of electrical distribution networks considering increasing PV installations, electric mobility and heating electrification. His work addresses power quality issues in distribution networks caused by modern equipment connections and develops optimization methods for grid planning and operation. Dr. Schori has published extensively on topics including target grid planning, quality reserves in distribution networks, and grid-friendly operation of battery storage systems. Dr. Schori leads multiple research projects including PLANET, QuVert, Bat4SG, and OptiQ, which address critical challenges in modern electrical grid operation and planning. His research has resulted in practical methodologies and tools for utilities and grid operators facing challenges from increasing electrification and renewable energy integration. Best graduate of the Master's program 2017 of the Bern University of Applied Sciences Graduated with distinction as a Dipl.-Ing. FH in 2007 in Electrical and Communication Technology Dr. Schori actively supervises Bachelor's and Master's students on projects related to electrical energy networks, power quality, and energy storage systems. His professional affiliations include Chairman of the Swissolar Decentralized Storage Expert Committee, board member of the Power-Quality-Group CH, and Chairman of TK 8 (System aspects of electrical energy supply) at the Swiss Electrotechnical Committee. He also leads the Electricity Networks Laboratory, which focuses on developing methodologies for distribution network modeling, target grid planning, and integration of storage systems for grid stability.

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Gabi Daniel StancuView profile

Professor

CentraleSupélecFrance

Gabi Daniel Stancu is a Professor at CentraleSupélec/University Paris-Saclay, France, and Deputy Director of the EM2C Laboratory (CNRS UPR288). His research focuses on advanced laser diagnostics for plasmas, including techniques like CRDS, TALIF, and QCLAS, applied to reactive plasmas, combustion, and biomedical systems. He coordinates Master's programs in Thermoscience and Energy, and has developed e-learning platforms for heat transfer education. Research interests span: Plasma diagnostics : UV-Mid-IR laser spectroscopy, time/space-resolved measurements Fundamental mechanisms : Kinetics in nanosecond/capillary discharges Applications : Combustion enhancement, biomedical decontamination Publications emphasize laser-based diagnostics, plasma kinetics, and hydrodynamic effects in atmospheric discharges, with consistent focus on quantitative species detection and energy transfer. Awards: Premier Prix 'Impact Science' (2021) French Ministry Research Excellence Award (2011-2020) Innolec Lectureship (2013) Supervised 8 PhD students and 7 postdocs. Leads plasma diagnostics research at EM2C Lab with international collaborations (Stanford, Princeton).

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Fabrizio BisettiView profile

Associate Professor

University of Texas at AustinUnited States

Fabrizio Bisetti is an Associate Professor at The University of Texas at Austin, holding the George & Dawn L. Coleman Centennial Fellowship in Engineering. His research focuses on turbulent mixing and combustion, particulate formation, aerosols, and atmospheric plasmas for combustion applications. Education: Ph.D., University of California, Berkeley Research Interests: Dr. Bisetti leverages large-scale simulations to investigate complex multi-physics processes in turbulent fluid flows. His work spans computational fluid dynamics, turbulence modeling, combustion chemistry, aerosol dynamics, and plasma-assisted combustion control. Key methodologies include uncertainty quantification and advanced numerical techniques for reactive flows. Applications target power generation systems, propulsion technologies, flow control mechanisms, and thermal-fluid system design optimization. Scientific Awards: George & Dawn L. Coleman Centennial Fellowship in Engineering Dr. Bisetti mentors graduate students in computational fluid dynamics and combustion research while securing competitive grants for his simulation-driven projects. His educational contributions include teaching foundational and advanced courses in fluid mechanics across undergraduate and graduate programs. Labs and Teams: Reactive Flow Modeling Laboratory (RFML) Center for Aeromechanics Research

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GM ShafiullahView profile

Associate Professor

Murdoch UniversityAustralia

GM Shafiullah is an Associate Professor at Murdoch University's School of Engineering and Energy, specializing in power systems stability, renewable energy integration, microgrids, smart grids, green hydrogen, and energy sustainability. His work addresses critical challenges in decarbonisation and future electricity networks. Education: Doctor of Philosophy in Renewable Energy Engineering, Central Queensland University (2010-2013) His research focuses on enabling technologies for 100% renewable energy systems, including hybrid PV-Battery-Hydrogen microgrids, distributed energy resource integration, and cyber-resilient power systems. He actively investigates energy transition pathways aligned with Sustainable Development Goals and large-scale electric vehicle impacts on grid stability. His scientific contributions have been recognized with: Vice Chancellors Award for Excellence in Postgraduate Research Supervision (2024) Vice Chancellor's Award for Excellence in Research and Innovation (2021) AJ Parker Award for Outstanding Early Career Researcher (2018) GM Shafiullah has supervised 17 HDR students to completion and currently guides 5 doctoral candidates. He has secured approximately $9.0 million in research funding for projects spanning industrial microgrid deployments, DER integration, and national energy strategy development. As a Senior IEEE Member and Associate Editor for multiple energy journals, he bridges academic research with real-world energy solutions. His current projects address reactive/active power management with EV integration, cyber-attack resilience in renewable-rich grids, and translating SDGs into actionable energy policies, though specific lab structures are not detailed in source materials.

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