جست‌وجوی استاد و پژوهشگر

Dan Stieper Karbingمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Respiratory and Critical Care
• Artificial Intelligence in Healthcare
• +۷ مورد دیگر

Dan Stieper Karbing is an Associate Professor in the Department of Health Science and Technology at the Faculty of Medicine, Aalborg University, Denmark. His research focuses on respiratory and critical care, with a strong emphasis on AI-driven decision support systems for mechanical ventilation. Ph.D. in Biomedical Science and Engineering (2009) M.Sc. in Biomedical Engineering, specializing in Biomedical Signals and Systems (2006) His research interests include biomedical engineering, mechanical ventilation, gas exchange modeling, decision support systems, AI in healthcare, and cardiorespiratory monitoring . He applies engineering principles to solve clinical challenges in intensive care, particularly in optimizing ventilator therapy and patient monitoring. The recent trend in his publications centers on AI-enabled clinical decision tools, non-invasive monitoring using wearable sensors, respiratory rate estimation, cardiorespiratory fitness assessment, and rehabilitation in critically ill patients . His work bridges engineering and medicine, aiming to improve patient outcomes through data-driven, personalized care. He is actively involved in research projects such as The Beacon Caresystem and CoRESCUE AAU Pandemic Ventilator, and his work has been featured in media outlets discussing AI in hospitals, customized ventilator treatment, and pandemic preparedness. He supervises PhD students and collaborates internationally on clinical and engineering research. He also serves on the board of Aw Technologies ApS, linking academia with industry innovation.

Caglar Kayaمشاهده پروفایل

استادیار

• Corporate Governance
• Corporate Finance
• Banking
• +۵ مورد دیگر

Caglar Kaya is an Assistant Professor at the Department of Finance within the Aalborg University Business School, part of Aalborg University's Faculty of Social Sciences and Humanities. His research focuses on corporate governance, banking, and corporate finance, particularly exploring foundation-owned enterprises and their credit risk dynamics compared to conventional ownership structures. He holds a Ph.D. in Financial Economics from Lund University and has industry experience in audit and banking. Education: Ph.D. in Economics (Financial Economics), Lund University (2020) M.Sc. Finance, Lund University & University of Illinois at Urbana-Champaign M.Sc. International Management, University of Bologna M.Sc. International Finance (Banking & Accounting), Istanbul Bilgi University Research Interests: Caglar examines board governance in foundation-controlled firms, trade credit finance, internal capital markets in corporate groups, and venture capital dynamics. His work bridges theoretical frameworks with empirical analysis of ownership structures and financial policy impacts. Current Projects: Leading a project on Green Finance (2024-2026) focusing on sustainable financial mechanisms. Collaborations: Active research collaborations include work with institutions like the University of Illinois and Lund University, with publications in journals such as Journal of International Financial Markets, Institutions and Money and North American Journal of Economics and Finance .

Hans Martin Kjerمشاهده پروفایل

دانشیار

• Ultrasound Imaging
• Super-Resolution Imaging
• Biomedical Image Analysis
• +۷ مورد دیگر

Hans Martin Kjer is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he is affiliated with the UltraSound and Biomechanics group within the Visual Computing Center and the Center for Fast Ultrasound Imaging. His research bridges engineering and medical imaging, with a strong emphasis on developing and validating advanced ultrasound techniques for biomedical applications. Research Interests: His work focuses on super-resolution ultrasound imaging, microvascular analysis, 3D reconstruction of biological structures, and image registration. He applies computational methods to improve the resolution and accuracy of ultrasound, particularly in renal and lymph node vasculature imaging. His research contributes to the UN Sustainable Development Goals in health and well-being through innovative diagnostic tools. Publication Trends: Over the past several years, Kjer has consistently published in high-impact journals and conferences in biomedical engineering and imaging. His recent work emphasizes the validation of super-resolution ultrasound against micro-CT, realistic 3D blood flow simulation, and the application of AI in enhancing imaging resolution. These studies reflect a strong trend toward quantitative, reproducible, and clinically relevant imaging solutions. Scientific Contributions: While no specific awards are listed, his leadership in major research projects and frequent collaborations with leading experts in ultrasound (e.g., Jørgen Arendt Jensen) underscore his significant role in the field. Advising and Funding: Kjer serves as a supervisor and principal investigator in several funded research initiatives, including AI for Extreme Super-Resolution CT , 3DIM: 3D Imaging Center , and QIM: Center for Quantification of Imaging Data from Max IV . He mentors PhD students and collaborates across disciplines, contributing to both biomedical and materials science imaging projects. Laboratories and Teams: He is an integral member of the Center for Fast Ultrasound Imaging and the Visual Computing Center at DTU. These teams focus on cutting-edge ultrasound technologies, image processing algorithms, and multimodal imaging integration, positioning Kjer at the forefront of computational biomedical imaging in Denmark.

Andreas Kuchlerمشاهده پروفایل

مدرس پاره‌وقت

• Household Behavior
• Firm Behavior
• Banking
• +۷ مورد دیگر

Andreas Kuchler is an external part-time lecturer at the Department of Economics, Faculty of Social Sciences, University of Southern Denmark, and a senior economist at Danmarks Nationalbank, where he currently serves as an Advisor in Macroeconomic Analysis. He earned his PhD in Economics from the University of Southern Denmark in 2011 and has remained affiliated with the institution as a lecturer and supervisor since 2012. His educational background includes: PhD in Economics, University of Southern Denmark, 2011 MSc in Economics, University of Southern Denmark, 2008 High School, Nordfyns Gymnasium, 2002 Kuchler’s research centers on household and firm behavior under various macroeconomic conditions, particularly in low- and negative-interest-rate environments. His work spans applied econometrics, banking, consumption heterogeneity, pension economics, and the impact of monetary policy. He has extensively studied the effects of negative deposit rates on corporate investment, household savings, and pension wealth, contributing key insights into macroeconomic stability and financial resilience. His recent publications reveal a strong focus on empirical microdata analysis, particularly register-based studies from Denmark, and examine topics such as consumption smoothing, debt accumulation, and housing demand shifts during the pandemic. He frequently collaborates with central bank researchers and contributes to policy-oriented outputs through Danmarks Nationalbank’s analysis and economic memos. Kuchler has been actively involved in several high-level academic and policy networks, including the ECB’s Household Finance and Consumption Network, CompNet, and has presented at institutions such as the European Central Bank, Deutsche Bundesbank, and Banque de France. He has also served as a referee for journals including Economic Inquiry , Journal of Macroeconomics , and Scandinavian Journal of Economics . He has taught and supervised students in data analysis, econometrics, and thesis writing at the University of Southern Denmark since 2009. Though not a full-time faculty member, his sustained academic engagement through teaching, publishing, and supervision confirms his role in the academic community. Notable labs and research teams he contributes to include: Household Finance and Consumption Network (ECB) Competitiveness Research Network (CompNet) Network for analysis of enterprise data (Confederation of Danish Industry) Danish Research Data for the Social Sciences (DRDS)

• CO2 Electrolysis
• Electrocatalysis
• Surface Physics
• +۵ مورد دیگر

Brian Seger is a Professor in the Department of Physics at the Technical University of Denmark (DTU), specializing in Surface Physics and Catalysis. His research focuses on electrochemical CO2 reduction, water splitting, and solar energy conversion, contributing significantly to sustainable energy solutions and UN Sustainable Development Goals. His research interests span CO2 electrolysis, electrocatalysis, surface physics, and photoelectrochemistry. Seger's work particularly emphasizes electrocatalytic CO2 conversion , water splitting mechanisms , and solar fuel production . His fingerprint analysis reveals strong expertise in carbon dioxide research (100%), water splitting (34%), hydrogen evolution (30%), and solar cell engineering (28%). Seger has published 107 research outputs with a strong focus on electrochemical CO2 reduction and conversion technologies. His recent work demonstrates significant contributions to understanding reaction mechanisms, membrane-electrode assembly systems, and catalyst development for sustainable chemical production. The research trends show increasing focus on practical implementation of CO2 electrolysis technologies, with particular attention to industrial-scale applications and system durability. Seger actively supervises PhD students and has been involved in 15 research projects, including 3 currently active ones. His supervisory roles demonstrate his commitment to developing the next generation of researchers in sustainable energy technologies. His activities include organizing the 67th Annual Meeting of the International Society of Electrochemistry, serving as an external examiner for PhD defenses, and presenting at major conferences on photocatalytic water splitting and tandem device modeling. These activities highlight his leadership role in the electrochemistry research community.

Claus E. Andersenمشاهده پروفایل

پژوهشگر

• Radiation Dosimetry
• Medical Physics
• Radiotherapy
• +۳ مورد دیگر

Claus E. Andersen is a Senior Researcher in the Department of Health Technology, specializing in Medical Dosimetry at the Technical University of Denmark (DTU). His work focuses on radiation dosimetry, radiotherapy techniques, and advanced applications such as FLASH therapy and proton beam treatments. Key areas of research include the biological effects of radiation, dosimetry in magnetic resonance-linear accelerators (MR-Linacs), and standardization of radiation measurements through collaborations with organizations like the IAEA. Andersen’s contributions span experimental validation of treatment modalities, optimization of dosimetry systems, and reducing normal tissue toxicity in cancer therapies. His research interests are centered on improving radiation therapy precision, particularly through innovations in dosimetry for complex treatment environments such as MR-guided systems and proton therapy. He has published extensively on topics like FLASH radiotherapy, scintillator-based dosimetry, and the impact of magnetic fields on radiation measurements. Andersen’s work often involves interdisciplinary collaboration, addressing challenges in clinical implementation of cutting-edge radiation techniques. His projects frequently involve preclinical models to evaluate treatment efficacy and safety, with a focus on translating laboratory findings into clinical practice.

Luís M. A. Bettencourtمشاهده پروفایل

استاد

• Science of Cities
• Urban Scaling
• Complex Systems
• +۱۲ مورد دیگر

Luís M. A. Bettencourt is Professor of Ecology and Evolution at the University of Chicago and serves as the Pritzker Director of the Mansueto Institute for Urban Innovation. He is also an External Professor at the Santa Fe Institute and a member of the External Faculty at the Hub, reflecting his interdisciplinary leadership in complex systems science. His work bridges theoretical physics, urban studies, and data science to understand cities as engines of innovation and human development. His research interests include the science of cities, urban scaling, synthetic cognition, real-time epidemiology, and the evolution of science and technology. Bettencourt applies principles from statistical mechanics and non-equilibrium field theory to model urban systems, emphasizing how infrastructure, human interactions, and socioeconomic dynamics scale with city size. He investigates how time, rather than money, is the key resource for the urban poor and how improved services can unlock creative potential. The recent publications highlight a strong focus on urban inequality, racial bias, and sustainability. Articles analyze how segregation, diversity, and population size affect implicit bias and economic productivity in U.S. cities. Others explore universal scaling laws across ancient and modern settlements, the role of technology in knowledge networks, and integrated theories of urban living. Collectively, his work demonstrates a shift toward data-driven, human-centered urban science that informs equitable policy. Pritzker Director of the Mansueto Institute for Urban Innovation External Professor, Santa Fe Institute Member, External Faculty at the Hub Bettencourt has advised numerous initiatives globally, including with the World Bank, UN-Habitat, and the National Academies, on urban data collection, slum upgrading, and smart city planning. He has led major speaking engagements at Harvard, MIT, the Aspen Ideas Festival, and international conferences on urban science and complexity. Though specific advisees are not listed, his leadership of research centers implies significant mentorship and grant acquisition, particularly in interdisciplinary urban innovation and data science for development. He is actively involved in research labs and teams focused on urban science, including the Mansueto Institute and collaborations with CUSP (Center for Urban Science and Progress). His work integrates computational modeling, field data from developing neighborhoods, and theoretical frameworks to build a science of cities that is both rigorous and socially impactful.

Christopher P. Kempesمشاهده پروفایل

استاد

• Complexity Science
• Physical Biology
• Astrobiology
• +۷ مورد دیگر

Christopher P. Kempes is a Professor at the Santa Fe Institute and an External Professor at the Complexity Science Hub Vienna, where he conducts interdisciplinary research at the intersection of biology, physics, and complex systems. His work is focused on uncovering universal principles governing life across scales—from cells to cities. Research Interests: Dr. Kempes explores the fundamental laws underlying biological organization, the origins of life, ecological dynamics, and the complexity of human systems. His approach integrates physical constraints, mathematical modeling, and data-driven analysis to predict large-scale patterns in nature and society. Key themes include scaling laws, metabolic theory, astrobiology, urban systems, and evolutionary transitions. Publication Trends: Over the past 15 years, his research has consistently advanced theoretical frameworks in complexity science. His publications reveal a strong focus on universal patterns in biology and society, with recurring themes in scaling, thermodynamics, and system-level organization. He applies these principles to diverse domains including climate change, inequality, biosignatures, and organizational growth. Scientific Recognition: Work featured in BBC, Wired, and other major media outlets. Contributions to foundational theories in complexity and biological organization. Advising and Grants: While specific students and grants are not listed, his senior faculty role at leading complexity research institutes suggests active mentorship and leadership in funded interdisciplinary projects. He likely advises postdoctoral researchers and collaborates on large-scale initiatives in complexity science, astrobiology, and urban sustainability. Labs and Research Groups: Dr. Kempes is affiliated with the Santa Fe Institute’s core faculty, participating in its collaborative, theory-driven research environment. He also contributes to the Complexity Science Hub Vienna, engaging in cross-institutional projects on complex systems in natural and social domains.

Ricard Soléمشاهده پروفایل

استاد پژوهشی

• Complex Systems
• Synthetic Biology
• Evolutionary Biology
• +۷ مورد دیگر

Ricard Solé is an ICREA Research Professor at the Catalan Institute for Research and Advanced Studies, based at Universitat Pompeu Fabra (UPF), where he leads the Complex Systems Lab within the Department of Experimental and Health Sciences. He is also External Professor at the Santa Fe Institute (USA), fellow of the European Centre for Living Technology (Italy), and external faculty at the Center for Evolution and Cancer at UCSF. He teaches undergraduate courses in Biomathematics, Biological Design, and Complex Diseases. Research Interests: Ricard Solé's work focuses on the emergence of complexity in biological systems. He investigates the evolutionary origins of major transitions—such as the rise of protocells, multicellularity, symbiosis, cognition, and language—through the lens of synthetic biology and mathematical modeling. He introduced the concept of 'synthetic major transitions' to simulate evolutionary innovations in the lab. Another key area involves unstable evolutionary dynamics in RNA viruses and cancer, where high mutation rates drive adaptation. He also explores 'terraforming' ecosystems to prevent catastrophic shifts, advocating for a multiscale synthesis across synthetic biology, ecology, and systems theory. The recent publications highlight his interdisciplinary approach, bridging virology, network theory, and evolutionary dynamics. His 2021 review on phase transitions in virology and 2018 paper on mutualistic networks as evolutionary spandrels reflect his focus on critical transitions and emergent structures in complex biological systems. Scientific Awards and Recognitions: ERC Advanced Grant (2012) Fellow, European Centre for Living Technology Advising and Grants: While specific students are not listed, Ricard Solé leads a research lab and likely mentors graduate students and postdoctoral researchers. His research is supported by major grants, including funding from the European Research Council and Fundación Botin, enabling long-term, high-risk theoretical and experimental work in synthetic and evolutionary systems. Labs and Teams: He heads the Complex Systems Lab at the PRBB in Barcelona, fostering interdisciplinary research at the intersection of physics, biology, and computation.

Kathrin Schlafmannمشاهده پروفایل

دانشیار

• Household Finance
• Macroeconomics
• Behavioral Finance
• +۳ مورد دیگر

Kathrin Schlafmann is an Associate Professor at the Department of Finance of Copenhagen Business School (CBS) . She serves as a Research Affiliate at the Centre for Economic Policy Research (CEPR) and a Research Fellow at the Danish Finance Institute (DFI) . Her primary research interests focus on Household Finance, Macroeconomics, Behavioral Finance, and Real Estate, with a particular emphasis on integrating behavioral aspects into quantitative macroeconomic models. She has been actively involved in organizing major academic initiatives, including the CEPR Household Finance Seminar Series (co-organizer with Marieke Bos) and the CEPR Advanced Forum in Financial Economics (CAFFE) . Schlafmann also leads a PhD Reading Group in Household Finance at CBS, fostering academic discourse among doctoral students. Her recent work includes groundbreaking studies on pension plan design, income expectation biases, and the interplay between wealth heterogeneity and macroeconomic volatility. In 2022, she received the prestigious Sapere Aude Starting Grant from Denmark's Independent Research Fund, supporting her research on household savings and macroprudential regulation. She has also contributed to policy-relevant analyses of mortgage markets and self-control mechanisms in housing decisions. Notable publications include a Review of Financial Studies article on pension plan optimization and an American Economic Journal: Macroeconomics paper on income expectation biases. Schlafmann's research frequently addresses policy implications, such as the design of effective wealth taxes and the impact of information asymmetries on economic stability.

• Financial Mathematics
• Quantitative Finance
• Interest Rate Modelling
• +۶ مورد دیگر

Rolf Poulsen is a Professor at the Department of Mathematical Sciences, University of Copenhagen. His work focuses on financial theory, derivative assets, and mathematical finance with applications to mortgage markets, portfolio selection, and model risk assessment. Institution: University of Copenhagen Department: Department of Mathematical Sciences Email: rolf@math.ku.dk Phone: +4535320685 Research Interests: Specializing in interest rate and exchange rate modeling, optimal mortgage and pension choices, and model risk analysis. His work intersects financial mathematics, stochastic processes, and computational finance, particularly in derivative pricing and market volatility dynamics. Recent Publications: Active in exploring connections between classical financial models (Black-Scholes, Merton) and modern machine learning approaches, while critically examining market efficiency and model reliability in crisis scenarios.

Jakob Lykke Andersenمشاهده پروفایل

دانشیار

• Algorithms
• Graph Transformation
• Chemical Reaction Networks
• +۷ مورد دیگر

Jakob Lykke Andersen is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he conducts research in algorithms with applications in cheminformatics and complex systems. He also holds a former external appointment as a Research Fellow at the Tokyo Institute of Technology (2015–2017). Research Interests: His work lies at the intersection of computer science and theoretical chemistry, focusing on algorithmic methods for analyzing chemical reaction networks. He employs hypergraphs, mixed-integer linear programming, and probabilistic models to study metabolic pathways, reaction databases, and prebiotic systems. His research emphasizes computational efficiency, formal modeling, and software implementation. Publication Trends: His recent publications (2019–2025) show a consistent focus on graph-based modeling of chemical systems, rule extraction from reaction databases, thermodynamic feasibility, and stochastic analysis. These works appear in high-impact journals in cheminformatics, bioinformatics, and complex systems, reflecting strong interdisciplinary collaboration. Scientific Contributions: While no specific awards are listed, his sustained research output and leadership in funded projects highlight significant contributions to algorithmic cheminformatics. Grants and Projects: He is actively involved in two major ongoing research projects: (1) Software Infrastructures for Teaching at Scale (funded by Innovation Fund Denmark, 2022–2025), and (2) DIREC (Danish Research Center for Digital Economy, 2020–2025), indicating active engagement in both educational technology and core computational research. Advising and Outreach: While no students are listed, he participates in academic advising through project supervision. He contributes to public discourse through media appearances on topics such as mathematics in health (e.g., intestinal system modeling in obesity) and educational well-being. Labs and Teams: He collaborates with interdisciplinary teams, including researchers from bioinformatics, chemistry, and computer science, particularly through projects involving Merkle, Flamm, Fagerberg, and Stadler. His work is associated with algorithmic cheminformatics and software framework development groups at SDU.

• Geomorphology
• Karst Systems
• Hydrogeology
• +۱۳ مورد دیگر

Carles Roque Pau is an Associate Professor in the Department of Environmental Sciences at the University of Girona, Spain, where he specializes in geomorphology and environmental geology. His research focuses on karst systems, sinkholes, groundwater dynamics, and geophysical methods for hazard assessment. He is a key member of the Research Group on Environmental Geology and Cartography. Institution: University of Girona Department: Department of Environmental Sciences Research Group: Research Group on Environmental Geology and Cartography Email: carles.roque@udg.edu His educational background, though not explicitly detailed, is inferred from his long-standing research and publication record in geomorphology and Quaternary geology. He has contributed extensively to geological mapping in Catalonia and has collaborated on interdisciplinary projects involving archaeology and paleoenvironmental reconstruction. Roque’s research interests span geomorphology, hydrogeology, karst systems, and geological hazards. He employs geophysical techniques such as Electrical Resistivity Tomography (ERT), Ground Penetrating Radar (GPR), and trenching to study sinkhole formation, tufa mounds, and evaporite dissolution. His work integrates field observations with stratigraphic and paleoclimatic analysis, particularly in the Pyrenees and Ebro Basin. He also investigates the impact of climate change on geomorphological processes, including drought effects on sinkhole development and natural acid rock drainage. The recent publications reflect a strong trend in applying integrated geophysical and stratigraphic methods to understand subsurface processes in karst and evaporite terrains. The research spans from pure geomorphology to applied environmental geology, with increasing emphasis on hazard assessment, urban risk, and climate change impacts. Topics include hypogenic karst, salt diapirism, radon in groundwater, and prehistoric flint exploitation, demonstrating both depth and breadth in geological inquiry. While no formal scientific awards are listed in the provided text, his sustained publication record in high-impact journals and leadership in multiple research projects indicate significant recognition within the academic community. Roque has supervised or co-supervised several research projects, particularly in the areas of Neanderthal resource use and sinkhole characterization. He has collaborated extensively with researchers such as Francisco Gutiérrez and Anna Menció on hydrogeological and geomorphological projects. His involvement in EU and national grants highlights his role in advancing environmental research in Spain. He is actively involved in geological mapping through the Institut Cartogràfic i Geològic de Catalunya, contributing to official 1:25,000 scale maps. He also participates in interdisciplinary teams focused on prehistoric archaeology, particularly in the study of Neanderthal behavior and lithic resource exploitation in northeastern Iberia.

Svante Eriksenمشاهده پروفایل

دانشیار

• Statistics
• Bayesian Networks
• Graphical Models
• +۷ مورد دیگر

Svante Eriksen is an Associate Professor in the Department of Mathematical Sciences at Aalborg University, Faculty of Engineering and Science. His research spans statistics, forensic genetics, and computational modeling, with a focus on Bayesian networks, graphical models, and statistical methods for forensic DNA analysis. He is actively involved in interdisciplinary research and software development for probabilistic genotyping and large-scale inference. Research Interests: Bayesian Networks and Graphical Models Statistical Methods in Forensic Genetics SNP and Y-STR Genotyping Data Mining and Knowledge Discovery Model Selection and Context-Specific Independence Software Development for Statistical Inference Recent Publication Trends (2024–2025): His recent work focuses on improving SNP genotyping accuracy using logistic regression models, developing efficient software (jti and sparta) for Bayesian network inference, and advancing forensic DNA analysis through dynamic SNP selection and probabilistic modeling of Y-STR databases. These contributions reflect a strong integration of statistical theory, computational efficiency, and real-world forensic applications. Scientific Contributions: Principal contributor to software packages for Bayesian network prediction. Developer of statistical models for forensic DNA data interpretation. Collaborator on projects involving digital learning analytics and student retention. Advising and Grants: While specific student names are not listed, the profile indicates involvement in PhD supervision (4 cases). He has participated in multiple externally funded research projects, including those supported by Novo Nordisk and Danish research councils, focusing on forensic DNA analysis, graphical models, and educational data mining. Research Groups and Collaborations: He is part of a strong research network in forensic genetics and statistical modeling at Aalborg University, collaborating with leading researchers such as N. Morling, M. M. Andersen, and T. Tvedebrink. His work is closely tied to the development and application of statistical software in both forensic and educational domains.

Xiaobing Zhangمشاهده پروفایل

پژوهشگر

• Energy Economics
• Climate and Energy Policy
• Hydrogen Energy Systems
• +۷ مورد دیگر

Xiaobing Zhang is a researcher at the Department of Management Engineering, College of Engineering, Technical University of Denmark (DTU). His work focuses on energy economics, climate and energy policy, and sustainable development, contributing to UN Sustainable Development Goals related to climate action and affordable clean energy. Technical University of Denmark (DTU), Department of Management Engineering Active in energy economics, climate policy, and energy transition research Involved in multiple international research projects and collaborations His research interests center on energy economics and modelling , with a strong emphasis on climate and energy policy . Key areas include electric vehicle adoption dynamics, hydrogen energy systems, greenhouse gas emissions, and energy efficiency in buildings and appliances. He investigates how economic factors like gasoline prices and implicit discount rates influence consumer behavior and policy outcomes in developing and developed countries. The recent publications highlight a consistent focus on energy transition pathways , particularly in China and Nordic countries. Themes include decarbonization through hydrogen, EV adoption under price signals, and policy evaluation using empirical models. The work spans energy economics, environmental policy, and engineering systems, reflecting an interdisciplinary approach to sustainable energy challenges. Scientific Awards: EuroTech Visiting Scholar Travel Grant (2023) Xiaobing Zhang is actively involved in research supervision and collaborative projects. He serves as a supervisor for PhD research on electricity markets and participates in major initiatives such as BEGONIA, RE-INTEGRATE, and FED. His editorial roles—as Associate Editor for Environment and Development Economics , Guest Editor for Climate Change Economics , and reviewer for several top journals—demonstrate significant service to the academic community. While specific grant awards are not detailed, his participation in funded projects indicates active grant involvement. He contributes to interdisciplinary research teams focusing on energy systems, digital platforms for energy integration, and transdisciplinary climate strategies. These teams involve collaboration across institutions and regions, including the African Union and European Union, aiming to develop integrated solutions for sustainable energy futures.