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Professor Poul Alberg Østergaard is affiliated with Aalborg University's Department of Sustainability and Planning, focusing on sustainable energy planning and smart energy systems. His work aligns with UN Sustainable Development Goals, emphasizing energy transition, renewable integration, and decarbonization strategies. Professor in Energy Planning Expertise: Energy Systems Analysis, District Heating, Renewable Energy Transition Key Projects: Sustainable Heating Roadmaps, Municipal Energy Planning (e.g., Aalborg 2020-2050 Strategy) Research interests include 100% renewable energy systems, smart grids, energy storage, and policy frameworks. He has contributed to over 287 publications and 25 projects since 1996, with notable work on island energy transitions, hydrogen pathways, and district heating optimization. Media engagements highlight his role as an advisor on energy pricing, district heating dynamics, and nuclear energy debates. He organizes international conferences like the Smart Energy Systems series and collaborates globally on energy policy and modeling tools like EnergyPLAN. Labs/Teams: Member of the Sustainable Energy Planning Research Group and contributor to initiatives like the Smart Island Energy Systems (SMILE) project.

• Sustainable Energy Planning
• Renewable Energy Systems
• Energy Transition
• +5 more

Prof. Dr. Dr. hc Jörg Becker is a Senior Professor at the University of Münster, leading the Chair of Business Informatics and Information Management. He holds prominent roles such as Director of the European Research Center for Information Systems (ERCIS) and former Pro-Rector for Strategic Planning. His expertise spans e-government, process management, and digital transformation. Becker earned his habilitation and doctorate from Saarland University, specializing in information systems and material flow control. Research focuses include hybrid value creation, trade information systems, and smart energy business models. He has advised numerous institutions and served on national committees like the Plattform 'Digitale Verwaltung' and the National E-Government Competence Center (NEGZ). His editorial roles include Business & Information Systems Engineering and Information Systems and e-Business Management. Becker has authored over 200 publications, with recent work on digital government competencies, citizen involvement in smart cities, and trust in information systems. Awards include Fellow of the German Informatics Society (GI) and honorary doctorates. His grants include projects on digital middle-tier towns and IT requirements for social security digitization.

• Business Informatics
• Information Systems
• E-Government
• +4 more

Hsiao-Dong Chiang is a Professor in the School of Electrical and Computer Engineering at Cornell University. He holds a Ph.D. in Electrical Engineering from the University of California, Berkeley, and has made significant contributions to nonlinear system theory and power system stability. His research spans theoretical development and practical applications in electric power systems, nonlinear optimization, and machine learning. B.S., Electrical Engineering, National Taiwan University, 1979 M.S., Electrical Engineering, National Taiwan University, 1981 Ph.D., Electrical Engineering, University of California, Berkeley, 1986 Chiang's research interests focus on nonlinear system theory , power system stability and control , nonlinear optimization , and their applications to modern power grids with high penetration of inverter-based resources. He is renowned for developing the BCU method and TRUST-TECH methodology , which have enabled fast direct stability assessment and global optimization in complex systems. His work bridges fundamental theory with industrial deployment through his companies, Bigwood Systems, Inc. and Global Optimal Technology, Inc. His recent publications (2024–2025) reflect a strong trend toward integrating machine learning and deep neural networks with power system analysis , particularly in state estimation, optimal power flow, and voltage control. There is a clear emphasis on handling uncertainty, non-convexity, and multi-scale dynamics in active distribution networks and integrated energy systems . His work increasingly focuses on resilience , real-time control , and user-centered methodologies for modern grid operations. Chiang has received numerous scientific honors, including: IEEE Fellow (1997) United States Presidential Young Investigator Award (1989) Multiple DOE Grid Optimization Challenge Awards (2020–2023) Best Paper Awards from IEEE Transactions and Conferences Outstanding Education Award, Cornell University (1990) He has successfully managed over 100 research projects and holds 28 U.S. and international patents. As the founder of Bigwood Systems, Inc., he has commercialized advanced software for utility companies across the U.S. and Japan. His team has published over 480 refereed papers and received more than 17,500 citations. He advises a large research group and leads innovations in computational methods for energy systems. His lab is actively involved in developing next-generation tools for grid security, optimization, and machine learning integration.

• Nonlinear System Theory
• Power System Stability and Control
• Optimal Power Flow
• +12 more

E. Veronica Belmega is a Full Professor at ESIEE Paris (Université Gustave Eiffel) and a researcher at the LIGM laboratory in Marne-la-Vallée, France. Previously, she served as an Associate Professor at ENSEA graduate school and Deputy Director of the ETIS laboratory in Cergy. She holds an Engineer Degree from the University Politehnica of Bucharest, M.Sc. and Ph.D. from Université Paris-Sud 11, and an HDR habilitation from Université de Cergy-Pontoise. Her research focuses on AI-driven communication systems, energy efficiency, online optimization, and cyber-physical security, with a strong emphasis on applications in smart grids and IoT. Her work spans securing wireless communications against adversarial attacks, optimizing resource allocation in cognitive radio networks, and leveraging machine learning for GNSS localization and MIMO systems. Notable contributions include game-theoretic frameworks for PMU deployment and energy-efficient NOMA systems. Belmega has received prestigious awards such as the 2021 CY Alliance Award and the L’Oréal-UNESCO fellowship, and serves as an Area Editor for IEEE Trans. on Machine Learning in Communications and Networking. Current projects include a CEA LETI postdoc position on AI localization and a PEPR 5G project. She actively contributes to special issues like the EURASIP JASP on sustainable wireless communications. Belmega’s advising includes PhD student S. Maleki, co-author of her 2024 IEEE SmartGridComm Best Paper Award-winning work.

• AI-enabled communications
• Green and energy-efficient communications
• Online optimization and machine learning
• +6 more

Dr. Tao Hong is the Duke Energy Distinguished Professor and NCEMC Faculty Fellow at the Department of Systems Engineering and Engineering Management, University of North Carolina at Charlotte. He directs the Big Data Energy Analytics Laboratory (BigDEAL) and has been a Founding Chair of the IEEE Working Group on Energy Forecasting (2011-2019). Ph.D., Electrical Engineering & Operations Research (2010), NC State University M.S., Operations Research & Industrial Engineering (2008), NC State University B.Eng., Automation (2005), Tsinghua University His research focuses on Energy Forecasting with applications in power systems operations, renewable integration, risk management, and cross-sector forecasting for healthcare, transportation, and sports. He has led major Delivery point level load analysis (2017-present) Short-term probabilistic forecasting (2016) Demand response modeling using smart meter data (2014-2015) Dr. Hong's scientific contributions include 9+ journal articles on energy forecasting methodologies and 3 major forecasting competitions (GEFCom2012-2017, BigDEAL Challenge 2022). His work has been cited in leading journals like International Journal of Forecasting and IEEE Transactions on Smart Grid . Charlotte Business Journal Energy Education Leader of the Year (2017) IEEE PES PSPI Technical Committee Prize Paper Award (2016) As a dedicated educator , Dr. Hong has advised multiple PhD and Master's students including Shreyashi Shukla (2023), Yike Li (2022), and Jordan McCorey (2021). He teaches specialized courses in energy systems planning and computational intelligence.

• Energy Forecasting
• Power Systems Operations
• Renewable Integration
• +7 more

Professor James S. Cotton is a faculty member in the Department of Mechanical Engineering at McMaster University , specializing in Thermo-Fluid Sciences with a focus on energy sustainability and thermal management. Current research explores thermal energy harvesting , non-thermal plasma flue gas cleaning , and smart electrohydrodynamic heat exchangers . Active in community energy planning as a member of the Burlington Climate Action Plan (2019-2021) and Green Venture board (2016-2021). Research spans both fundamental and applied domains, including two-phase flow , electrohydrodynamic heat transfer modulation , and flow accelerated corrosion analysis. His work integrates modeling and experimental validation for real-world thermal systems. Scientific Contributions: Developed two novel patents for advanced thermal management and soot removal systems during his industrial career at Dana Corp. (until 2007). Current projects involve community energy corridors and next-generation sustainable energy solutions , including the 2025 Hamilton Energy Harvesting Study . Active mentor in graduate education, teaching courses like MECH ENG 4O04: Sustainable Energy Systems and MECH ENG 708: Two Phase Flow and Heat Transfer .

• Thermo-Fluid Sciences
• Sustainable Energy Systems
• Heat Transfer
• +4 more

Dr. Daming Zhang serves as a Senior Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), Faculty of Engineering. His academic career spans over two decades with continuous scholarly contributions to power systems engineering. Dr. Zhang's research focuses on power systems, microgrids, and renewable energy integration , with particular expertise in constant-frequency microgrid operation, DC-AC conversion technologies, and energy storage applications. His work addresses critical challenges in grid stability, power system protection, and the integration of high-penetration renewable energy sources. He has developed innovative approaches for microgrid regionalization, load flow analysis in islanded systems, and fault detection in photovoltaic systems. His publication record shows a clear evolution from fundamental electromagnetic studies to applied power systems research, with recent work emphasizing practical solutions for decarbonized power systems. The majority of his recent publications appear in high-impact IEEE journals and conferences, demonstrating the significance of his contributions to the field. His research increasingly incorporates advanced computational methods including machine learning for fault detection and optimization techniques for energy system planning. While no specific awards are listed in the available information, Dr. Zhang's extensive publication record in top-tier journals indicates recognition within the academic community. His collaborative work with researchers across multiple institutions demonstrates his active engagement in the international power engineering community. Dr. Zhang's research has practical implications for modern power systems transitioning toward renewable energy integration. His work on constant-frequency microgrids, energy storage applications, and grid-forming converters addresses critical challenges in maintaining stability as power systems incorporate higher levels of inverter-based resources. His recent focus on long-duration energy storage and zero-carbon electricity systems reflects the evolving priorities of the power industry toward decarbonization.

• Power Systems
• Microgrids
• Renewable Energy Integration
• +7 more

Adonis Yatchew is a Professor in the Department of Economics at the University of Toronto , where he has held multiple roles including Vice President for Publications at the International Association for Energy Economics and Editor-in-Chief Emeritus of The Energy Journal (2006-2023). His research bridges econometric methodology with critical energy and environmental policy challenges. Ph.D., Harvard University (1980) M.A., University of Toronto (1975) B.A., University of Toronto (1974) Yatchew's research focuses on Econometrics and Energy Economics , particularly nonparametric regression techniques , energy market regulation , and carbon policy frameworks . His work on scalability in energy industries and empirical analysis of electricity distribution productivity has shaped modern regulatory approaches. Recent publications reveal a strong focus on energy transition dynamics , with technical contributions to nonparametric estimation and carbon pricing mechanisms . Notable works include analyses of Alberta's electricity futures market and Ontario's feed-in-tariff programs. Outstanding Contributions to the Profession , International Association for Energy Economics (2018) Senior Fellow , US Association for Energy Economics (2014) Teaching Award , University of Toronto (1987) As a teacher, Yatchew offers courses on Energy and the Environment and Energy and Regulation , exploring geopolitical impacts on energy markets and optimal government intervention strategies. His econometrics courses cover advanced topics like bootstrap inference and nonparametric methods.

• Econometrics
• Applied econometrics
• Energy economics
• +1 more

Eduard Muljadi is the Danaher Professor in the Department of Electrical and Computer Engineering at Auburn University. He holds a Ph.D. in Electrical Engineering from the University of Wisconsin and a B.S. from Sepuluh Nopember Institute of Technology. His research focuses on power systems resilience, renewable energy integration, electric machines, and grid stability. Key areas include microgrid reliability, inverter-based resource control, and the optimization of renewable energy systems. Recent work emphasizes grid-forming inverters, hybrid AC/DC microgrids, and the impact of high renewable penetration on power quality and stability. His studies on cogging torque reduction in permanent magnet machines and thermal management of induction motors highlight his expertise in electric machine design. Muljadi also explores advanced pumped storage hydropower technologies and their role in stabilizing grids with high renewable integration. Publications from 2024-2025 reveal trends toward mitigating oscillations in power grids, enhancing frequency response via BESS coordination, and analyzing fault contributions of inverters. His research bridges theoretical advancements with practical grid solutions, such as optimizing wind farm layouts and improving protection systems in modern distribution networks.

• Power Systems
• Power Electronics
• Electric Machines
• +5 more

Magda Nico is an Assistant Professor in the Department of Social Research Methods at ISCTE - University Institute of Lisbon and an Integrated Researcher at CIES-Iscte - Center for Research and Studies in Sociology. She holds a PhD in Sociology from ISCTE-IUL and has a strong background in both quantitative and qualitative research methods. Her academic work is deeply rooted in the life course perspective, focusing on youth, family, social inequalities, and biographical research. PhD in Sociology, ISCTE-IUL (2011) Postgraduate in Data Analysis in Social Sciences, ISCTE-IUL (2008) Master’s in Family and Society, ISCTE-IUL (2006) Bachelor’s in Sociology, Faculty of Social Sciences and Humanities (2001) Her research interests include the sociology of the family, transitions to adulthood, longitudinal methods, and social mobility. She critically examines the interplay between structure and agency in shaping life trajectories, especially among young people. She has published extensively in high-impact journals and with leading academic publishers, contributing to debates on de-standardization, reflexivity, and biographical research. The analysis of her recent publications reveals a consistent focus on life course dynamics, biographical methods, and social inequalities. Her work combines empirical rigor with theoretical depth, often employing mixed-methods and longitudinal designs. She frequently explores how macro-level events like the economic crisis and the pandemic affect individual life paths. CEEC Assistant Researcher (2017, FCT) Co-editor, Journal of Youth Studies Local Coordinator, COORDINATE (Horizon 2020 project) Magda Nico actively mentors and collaborates with researchers, having co-organized the 'Biographies and Trajectories' seminar series since 2017. She has led and co-led multiple funded research projects, including 'Linked Lives' and 'Biographical Echoes.' She is also a member of the Society for Longitudinal and Life Course Studies and contributes to public sociology through opinion pieces in platforms like Público and Barómetro Social. She is affiliated with CIES-Iscte, where she conducts interdisciplinary sociological research, and is involved in national and international research networks focused on youth, family, and life course studies.

• Life Course Perspective
• Sociology of the Family
• Transitions to Adulthood
• +12 more

Prof. Eric Loth is the Rolls-Royce Commonwealth Professor of Engineering and Director of the Fluids Research Innovation Lab (FRIL) at the University of Virginia. His research focuses on extreme-scale wind turbines, energy storage systems, multiphase flow, and aerospace propulsion. He has authored over 200 journal papers, holds 10 patents, and led $16M in research funding. His work has been covered by major media outlets and he has given invited talks at prestigious institutions like Harvard, MIT, and Cambridge University. Education: B.S. in Aerospace Engineering, West Virginia University M.S. in Aerospace Engineering, Pennsylvania State University Ph.D. in Aerospace Engineering, University of Michigan Research Interests: Loth’s work spans wind energy systems, aerodynamics of propulsion, turbulence mechanics, and fluid-solid interactions. He pioneered designs for 25–50 MW offshore turbines and co-developed energy storage frameworks integrating wind systems. His recent projects include icephobic coatings for turbine protection and novel particle separation technologies. Awards & Recognition: Fellow of ASME and AIAA Yip Visiting Fellow, Magdalene College, Cambridge Panel Chair for NAE Energy Research (IMECE) and NAE Aerospace Research (AIAA Sci Tech) Advising & Grants: Loth has advised numerous students and secured major grants from agencies like ARPA-E, NREL, and the Department of Energy. His lab (FRIL) collaborates with industry leaders like Rolls-Royce and the U.S. Navy. Labs & Teams: Director of the Fluids Research Innovation Lab (FRIL), co-leads the SUMR (Sustainable, Ultra-Mega-Rotor) initiative, and oversees the SpiderFLOAT offshore wind platform project. His team focuses on interdisciplinary challenges in renewable energy and fluid dynamics.

• Wind Energy
• Energy Storage Systems
• Aerospace Propulsion
• +4 more

Enrico Macii is a Full Professor at the Politecnico di Torino, affiliated with the Interuniversity Department of Regional and Urban Studies and Planning (DIST) and the Department of Control and Computer Engineering (DAUIN). He leads the Electronic Design Automation (EDA) research group and holds key roles as Scientific Advisor for the Politecnico-STMicroelectronics partnership and Scientific Contact for the European Chips Joint Undertaking. Research Interests: His work spans digital circuits and systems, energy efficiency, smart cities, Industry 4.0, and smart manufacturing. He focuses on embedded and cyber-physical systems, low-power design, neuromorphic computing, AIoT, and sustainable urban development. Recent Publications: His recent research demonstrates strong trends in edge AI, neuromorphic computing, and smart energy systems. Articles highlight innovations in low-power hardware acceleration, federated learning, physics-informed AI, and digital twin applications for urban and industrial systems. There is a clear emphasis on deploying AI efficiently on constrained devices and integrating physical models with machine learning. J. William Fullbright Fellowship (1993) Best paper award IEEE European Design Automation Conference (1996) Best paper award ACM/IEEE Great Lakes Symposium on VLSI (2008) DAC Service Award (2014) IEEE Fellow (2006) DATE Fellow (2014) Advising and Grants: He has supervised over 25 PhD students in computer engineering, AI, and urban systems. His research is funded by major EU programs (Horizon 2020, PNRR, KDT JU), national (PRIN, FAR), and regional grants, as well as industrial contracts with STMicroelectronics, Michelin, and Cefriel. He leads numerous high-impact projects in smart manufacturing, energy efficiency, and digital twins. Labs and Teams: He is a core member of the EDA Group, an interdepartmental research team at Politecnico di Torino focusing on VLSI-CAD, bioinformatics, smart cities, and Industry 4.0. He also contributes to IAM@PoliTo (Integrated Additive Manufacturing) and leads multiple EU and national research consortia.

• Digital Circuits and Systems
• Energy Efficiency
• Smart Cities
• +13 more

Dr. Miguel Ángel Sánchez Fornié is a Collaborating Researcher at the Instituto de Investigación Tecnológica (IIT), affiliated with the School of Engineering at Universidad Pontificia Comillas (ICAI). He has been actively involved with IIT since 1980, contributing to European research projects and teaching Smart Grids in Master's programs since 2002. His work bridges industry leadership and academic research, particularly in the digitalization and modernization of electricity systems. Electromechanical Engineering, ICAI (1974) Diploma in Nuclear Safety, MIT, Boston (1977) Postgraduate coursework in Electricity Sector Regulation, 2008 His research focuses on smart grids, electricity system regulation, power system planning and operation, asset management, telecommunications for power systems, cybersecurity, and the application of big data and artificial intelligence in energy systems . He has led and contributed to major European projects such as H2020 and Horizon Europe, focusing on grid resilience, digitalization, and workforce skills development. The recent publications reflect a strong trend toward the digital transformation of electricity distribution networks , with emphasis on metrics, investment analysis, and the integration of distributed energy resources. His work spans from foundational reliability modeling in the 1980s to contemporary policy and technical frameworks for smart grids, showing a lifelong commitment to evolving energy infrastructure. Dr. Sánchez Fornié has been involved in several funded research projects and educational initiatives, including EDDIE, CoordiNet, and Digital Twin for Europe. He has also contributed to workforce development through sectoral skills alliances in the energy domain. He holds leadership roles in external organizations such as FUTURED and the European Technology and Innovation Platform on Smart Energy Networks (ETIP SNET), where he serves as Honorary Co-Chair of WG4. He has organized and participated in numerous scientific conferences and seminars, particularly on digitalization and education in the energy sector. Member, Education for the Digitalisation of the Energy System (EDDIE ASBL), Brussels (2024–Present) Board Member, FUTURED, Zaragoza (2017–Present) Co-Chair (Honorary), WG4, ETIP SNET, Brussels (2017–Present)

• Electrical Engineering
• Smart Grids
• Electric Power Systems Regulation
• +7 more

Prof. Dr. Bernd Möller is a faculty member at Europa-Universität Flensburg, specializing in sustainable energy systems management for developing countries. His research focuses on renewable energy integration, spatial analysis, and environmental planning, leveraging GIS tools for energy system transformation. Current position: Professor at Department Energy and Environmental Management Alumni of Flensburg University of Applied Sciences and Aalborg University (PhD in Energy Planning) Research interests encompass wind/solar/biomass systems, energy atlas development, and climate-resilient infrastructure. His work bridges technology, economics, and spatial planning in renewable transitions. Publications highlight trends in offshore wind modeling, biomass logistics, district heating expansion, and GIS-driven energy solutions. Key themes include decarbonization, resource constraints, and regional energy equity. Teaching involves applied GIS science, energy planning frameworks, and development cooperation. He leads the PhD program in Energy and Environmental Management for Developing Countries.

• Sustainable Energy Systems
• Renewable Energy (Wind, Solar, Biomass)
• Geographical Information Systems (GIS)
• +3 more

Fraser King is an incoming Assistant Professor in the Department of Atmospheric and Oceanic Sciences (AOS) at the University of Wisconsin–Madison, starting in Winter 2026. He holds a PhD in Machine Learning and Remote Sensing of Precipitation from the University of Waterloo (2022) and is currently a postdoctoral research associate at NASA Goddard Space Flight Center. His research integrates machine learning with atmospheric physics to advance precipitation and snowfall retrieval, cloud microphysics, and climate modeling. He has held research positions at the University of Michigan and NASA Jet Propulsion Laboratory. His research interests include: Climate and Climate Change Radiation and Remote Sensing Synoptic Meteorology Atmospheric and Cloud Physics Large Scale Dynamics Machine Learning and Model Interpretability Arctic Snowfall Prediction His recent publications reflect a strong trend in applying deep learning (e.g., U-Net, CNNs) and unsupervised methods (PCA, t-SNE, UMAP) to radar and satellite data for precipitation and snow microphysics. Key themes include radar gap inpainting, melting layer detection, and dimensionality reduction for physical interpretation. His work bridges geoscience and AI, aiming for interpretable models that enhance physical understanding. Scientific awards and professional service include: Finalist for the 2023 Governor General's Gold Medal, University of Waterloo Associate Editor, Journal of Atmospheric and Oceanic Technology (AMS) Member, AMS Committee on Artificial Intelligence Applications to Environmental Science Executive Council Member, AGU Precipitation Technical Committee Executive Member, Eastern Snow Conference Research Board Fraser King has mentored students through research projects and led educational initiatives such as a 12-week course on machine learning for land cover classification. He has secured research experience through internships at Aquanty Inc. and multiple NASA-affiliated institutions. He founded MapsByFraser, a company combining cartography and satellite data, and has collaborated with Google's Quantum AI team. His technical skills span Python, deep learning frameworks, and high-performance computing platforms. He leads several major research projects: Towards Interpretable Physical Models : Using sparse autoencoders and nonlinear dimensionality reduction to interpret geoscience models. Microphysical Dimensionality Reduction : Applying PCA, t-SNE, and UMAP to identify physical modes in precipitation data. BlindPaint : A U-Net for radar gap inpainting in spaceborne systems. DeepPrecip : A deep learning model for surface precipitation retrieval. iPhone LiDAR : Using consumer smartphones for snow depth measurement via drones. NRCan Machine Learning Land Cover Classifier : Training ML models on Sentinel-2 data. Climate Model Calibration : Using ML to correct biases in snow-related climate variables. CloudSat Snowfall Validation : Validating high-latitude snowfall estimates. Snow Modelling : A Rust-based physical/temperature-index snow model.

• Climate and Climate Change
• Radiation and Remote Sensing
• Synoptic Meteorology
• +13 more