جستجوی استاد راهنمای دانشگاهی

Trine Krogh Boomsma is a Professor in the Department of Insurance and Economics at the University of Copenhagen's Department of Mathematical Sciences. Her research focuses on optimization under uncertainty with significant applications in energy systems, particularly electricity markets, renewable energy investments, and power system planning. PhD in Mathematics-Economics, Aarhus University (2003-2007) Visiting PhD at University of Duisburg-Essen (2004) Academic career includes positions at Risø National Laboratory for Renewable Energy and Imperial College London Her work spans stochastic programming, real options analysis, and dynamic programming to address energy sector challenges. Key areas include support schemes for renewables, market risk modeling, and operational optimization of hybrid conventional-renewable systems. Recent research explores policy impacts on investment decisions and advanced scenario generation techniques. Major publications (2012-2020) cover renewable energy policy frameworks, power plant valuation models, and sequential market bidding strategies. These works emphasize electricity market dynamics, investment risk quantification, and robust planning under uncertainty. She teaches linear programming, integer programming, and stochastic programming applications in operational analysis, contributing to energy economics education at the department.

• Stochastic programming
• Two-phase and multi-phase models
• Scenario generation and reduction
• +۹ مورد دیگر

Ravi Seshadri is an Associate Professor in the Transport Division at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research focuses on designing equitable, efficient, and sustainable mobility solutions with a focus on fiscal instruments like congestion pricing and tradable permits, as well as emerging mobility modes such as shared and demand-responsive transit. He employs methods from transportation network equilibria, dynamic traffic assignment, and agent-based simulation. His research interests span transportation economics, urban planning, and intelligent transportation systems. Key areas include evaluating the impacts of automated mobility-on-demand systems, optimizing tolling strategies using predictive control and reinforcement learning, and integrating multi-modal transportation networks through game-theoretical frameworks. His work emphasizes real-world applications in urban freight systems, e-commerce logistics, and sustainable urban mobility policies. Recent projects include studying congestion pricing schemes via agent-based microsimulation, analyzing behavioral responses to decarbonization policies, and developing frameworks for tradable credit systems with peer-to-peer trading. He has contributed to both theoretical advancements (e.g., robust traffic assignment models) and applied tools like the SimMobility simulation platform. Ravi's research demonstrates a strong focus on bridging transportation engineering with policy analysis, using cutting-edge computational methods to address complex urban mobility challenges. His work spans academic publications, industry collaborations, and policy consultations to advance sustainable transportation systems.

• Transportation Engineering
• Urban Planning
• Sustainable Mobility
• +۵ مورد دیگر

Wusheng Yu is a full-time Professor in the Department of Food and Resource Economics at the Faculty of Science, University of Copenhagen, holding this position since March 2018 after serving as Associate Professor from 2005-2018. His academic foundation includes a PhD in Agricultural Economics from Purdue University (2000) and an MSc in Economics from Renmin University of China (1995). Educational background: PhD in Agricultural Economics, Purdue University, West Lafayette, IN, USA (2000) MSc in Economics, Renmin University of China, Beijing, China (1995) Professor Yu's research centers on international trade, agricultural policy, computable general equilibrium modeling, and climate-food security intersections. He employs advanced quantitative methods to analyze global trade dynamics and environmental policy impacts, with recent work emphasizing geopolitical dimensions of food systems under climate stress. His methodological approach combines empirical analysis with scenario-based modeling to address real-world policy challenges. Analysis of his 2023-2025 publications reveals three dominant trends: (1) Geostrategic assessments of food security amid global tensions, (2) Climate-agriculture policy integration through emission modeling, and (3) Trade mechanism innovations like carbon border adjustments. His work bridges theoretical economics with actionable policy insights, particularly for EU and developing economies. Professor Yu coordinates graduate courses in Advanced International Trade and Applied Trade and Climate Policy Models. His research is funded by the European Union, Danish governmental bodies, and international organizations, operating under an advisory committee with private sector representatives as specified by departmental Terms of Reference. He maintains strict institutional alignment as a full-time permanent employee without external remuneration. His collaborative network spans seven countries with significant engagement in Danish animal food sectors and public authorities. The Section for Production, Markets and Policy at IFRO serves as his primary research hub, facilitating cross-border studies on trade-displacement effects and food demand elasticity modeling under socioeconomic pathways.

• International Trade
• Agricultural Trade Policy
• Agricultural and Food Policy
• +۳ مورد دیگر

Rasmus Kehlet Skjødt Berg is an Assistant Professor at the Department of Economics , University of Copenhagen, within the Faculty of Social Sciences . His research focuses on environmental and climate economics, political economy, and computable general equilibrium (CGE) modeling. Position: Assistant Professor University: University of Copenhagen Department: Economics Email: rasmus.kehlet.berg@econ.ku.dk Research Interests Berg specializes in integrating environmental and climate considerations into macroeconomic modeling. Key projects include the development of the MEE (Model of the Economy with Emissions) and GREEN REFORM models to analyze policy impacts on emissions and economic growth. Publications & Projects Recent work includes studies on green national accounting, social security design, and energy systems. He explores the economic costs of climate change, renewable energy integration, and policy barriers in Denmark. Collaborations & Tools Collaborates with researchers like Peter Birch Sørensen and Janek Bligaard Eskildsen. Develops open-source CGE tools ( GitHub ) for environmental policy simulation.

• Environmental Economics
• Climate Economics
• Energy Economics
• +۶ مورد دیگر

Matti Juhani Koivisto is a Senior Researcher at the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His work focuses on renewable energy systems integration, particularly wind power modeling and analysis within large-scale energy systems. His research expertise spans several critical domains in renewable energy: Wind Energy Systems Engineering (100%) Wind Power Engineering (89%) Variable Renewable Energy Integration (80%) Power Engineering (56%) Time Series Analysis in Energy Systems (37%) Energy Engineering (35%) Dr. Koivisto's research addresses fundamental challenges in renewable energy integration, with particular emphasis on wind power forecasting, variability analysis, and the impacts of climate change on renewable resources. His work bridges theoretical modeling with practical energy system applications, contributing to more reliable and efficient integration of renewable energy sources into power grids. His recent publications demonstrate a strong focus on offshore wind energy, hybrid power plants, and advanced modeling techniques for wind farm generation. His work on increasing the resolution of solar and wind time series has been particularly influential in energy system modeling, addressing critical data requirements for high renewable penetration scenarios. Dr. Koivisto contributes significantly to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13), with research directly addressing the technical challenges of transitioning to sustainable energy systems. He is actively involved in several major international research projects including AWETRAIN (Airborne Wind Energy Training), DTWO (Federated Digital Twins for Wind-Offshore), and GREAT (GRid Enhancement for Ancillaries in Tomorrow's power systems), where he serves as both project participant and PhD supervisor.

• Wind Energy Systems
• Renewable Energy
• Energy Systems Engineering
• +۴ مورد دیگر

Jakob Zinck Thellufsen is an Associate Professor in Energy Systems Analysis at Aalborg University, Denmark. He leads the Sustainable Energy Planning Research Group within the Department of Sustainability and Planning. His research focuses on developing advanced energy system analysis tools like EnergyPLAN, emphasizing Smart Energy Systems integration across regional levels. His work addresses district heating, CCUS, and energy savings, contributing to UN Sustainable Development Goals related to clean energy and climate action. Education: PhD in Contextual Aspects of Smart City Energy Systems Analysis (Aalborg University, 2017). He currently serves as Head of Section in the Department of Planning. Research Interests: Energy systems analysis, decarbonization pathways, sector coupling, district heating optimization, and carbon capture technologies. His projects, such as CARMA-Green Fuels and INNO-CCUS, address carbon neutrality and energy transition challenges. Key Projects: Includes managing EU and Danish initiatives like Large-Scale Carbon Capture Integration and Expanding Integrated Assessment Modelling. His work spans academic collaboration with industry partners like Ørsted and TOTAL E&P Danmark. Grants & Activities: Active in organizing conferences (e.g., 10th International Conference on Smart Energy Systems) and public discourse on nuclear energy and climate policy. His datasets, such as Heat Plan Denmark 2021, support municipal energy planning. Labs/Teams: Leads the Sustainable Energy Planning Research Group, collaborating internationally on tools like EnergyPLAN, used by 15,000+ users globally.

• Energy Systems Analysis
• District Heating
• Carbon Capture Utilization and Storage (CCUS)
• +۳ مورد دیگر

Dolores Romero Morales is a Professor of Operations Research at the Department of Economics, Copenhagen Business School (CBS). She holds editorial roles as Editor-in-Chief of TOP (Spanish Society of Statistics and Operations Research journal) and Associate Editor of Journal of the Operational Research Society and INFORMS Journal on Data Science . Prior roles include Full Professor at the University of Oxford (2003–2014) and Assistant Professor at Maastricht University (2000–2014). Education: BSc and MSc in Mathematics, Universidad de Sevilla PhD in Operations Research, Erasmus University Rotterdam Research Interests: Her work focuses on Data Science (explainability, fairness, visualization), Supply Chain Optimization (environmental sustainability, robustness), and Revenue Management (large-scale network models). Recent contributions include counterfactual analysis frameworks for machine learning models and optimization-driven solutions for decision-making under uncertainty. Grants & Projects: Leading the EU NeEDS project (€1M+ budget) to advance Data-Driven Decision Making through intersectoral collaboration. Recipient of Otto Mønsted Visiting Professorship funding for conference participation. Teaching: Current courses include Analytics and Big Data (MBA), Data Science: Data Driven Decision Making (MSc), and Mathematical Optimization (MSc). Supervised ten PhD dissertations with one ongoing. Awards & Recognition: Honorary SAS Fellow (SAS Institute) Member of SAS Academic Advisory Board

• Data Science
• Supply Chain Optimization
• Revenue Management
• +۳ مورد دیگر

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.

• Distributed Energy Resources
• Electric Vehicles
• Battery Energy Storage
• +۶ مورد دیگر

Francesco Clora serves as an Assistant Professor in the Department of Food and Resource Economics at the University of Copenhagen's Faculty of Science. His academic work focuses on the intersection of climate policy, international trade, and trade policy, with particular emphasis on the European Union and the agri-food sector. As a postdoc researcher within the Section for Production, Markets and Policy, he contributes to both teaching and research activities while maintaining active engagement with public-sector advisory work. Education: PhD in Environmental and Resource Economics (2022), University of Copenhagen - Thesis: "Decarbonization, International Trade and Carbon Leakage: the European Case" MSc in Environmental and Natural Resource Economics (2017), University of Copenhagen - Thesis: "The Effort Sharing Regulation: A preliminary CGE analysis of its impacts on Danish agriculture" BSc in Economics and Management (2015), University of Padova, Italy Clora's research primarily employs climate-environment-economy modeling and computable general equilibrium (CGE) modeling approaches. His work addresses critical issues at the nexus of climate policy and international trade, particularly focusing on carbon border adjustment mechanisms, agricultural decarbonization pathways, and food system transformations under different socioeconomic scenarios. His analytical framework often incorporates detailed engineering data to model complex environmental-economic interactions. His publication record demonstrates a consistent focus on climate policy instruments and their trade implications, with particular attention to the European context. Recent work examines carbon taxation of food consumption, agricultural abatement technologies, and the impacts of different decarbonization pathways on trade balances and carbon leakage. His research often appears in high-impact environmental and energy economics journals, reflecting his significant contributions to understanding the complex interplay between climate policy and international trade. Teaching Responsibilities: Course responsible for International Economics (BSc) Instructor for Advanced International Trade (MSc) Instructor for Applied Trade and Climate Policy Models (MSc) Supervision of MSc students working on their theses Clora maintains active research collaborations across multiple institutions, as evidenced by his extensive co-authorship network. His work-in-progress includes several projects examining carbon border adjustment mechanisms, food demand elasticities under different socioeconomic pathways, and agricultural decarbonization scenarios. His research output has garnered attention from policy sources, news outlets, and academic communities, with multiple publications being referenced in policy discussions and receiving significant attention on academic platforms.

• Climate Policy
• International Trade
• Trade Policy
• +۴ مورد دیگر

Prof. Dogan Keles serves as a Professor and Head of Section in the Department of Technology, Management and Economics at Technical University of Denmark (DTU) . His research focuses on energy economics, energy system modeling, and climate policy, contributing to UN Sustainable Development Goals related to decarbonization and renewable energy adoption. Education: PhD in Economics, May 2013 Industrial Engineering and Management, October 1999 to March 2006 (Awarded March 2006) Research Interests: Dogan Keles investigates sustainable energy transitions, emphasizing emission reduction policies, renewable integration (e.g., offshore wind and solar), district heating optimization with heat pumps, and hydrogen infrastructure planning. He also explores cross-border energy trade dynamics, smart charging for EVs, and the socio-economic impacts of grid tariff designs. His work combines advanced modeling techniques like stochastic optimization and bi-level analysis to address real-world challenges in energy systems. Recent Research Trends: His publications (43 total) highlight contributions to emission policy effectiveness, gas-saving strategies via renewables, and hydrogen infrastructure development. Key themes include decarbonization pathways for district heating systems, offshore energy market design, and the interplay between consumer behavior and low-carbon technology adoption. Scientific Awards: None listed in the provided information. Advising and Grants: As a main supervisor, Keles leads PhD projects on electricity market bidding strategies, Power-to-X markets, hydrogen regulation, data center energy integration, and maritime green fuels. His research is supported by grants addressing energy transition challenges, including funding for projects on offshore wind financing and energy hub optimization. He also collaborates internationally, with activities focused on Switzerland, Germany, and Denmark. Labs and Teams: Affiliated with DTU’s Energy Economics and Modelling and Climate and Energy Policy groups, Keles drives interdisciplinary projects on energy system modeling, policy analysis, and infrastructure planning to achieve climate neutrality targets.

• Energy Economics
• Climate and Energy Policy
• Renewable Energy Systems
• +۳ مورد دیگر

Wei Fan is an Associate Professor at the Department of Electronic Systems, Aalborg University, under The Technical Faculty of IT and Design. His primary research focuses on antenna systems, millimeter-wave technologies, and wireless channel propagation. He leads projects on 6G channel sounding, OTA testing methodologies, and metrology for emerging wireless standards. His work emphasizes collaboration with industry partners like Anritsu to address challenges in next-generation communication systems. Education details are not explicitly mentioned, but his research spans advanced wireless systems and IoT applications. Research interests include: Millimeter-wave antenna design and testing Channel sounding for 5G/6G networks Over-the-Air (OTA) testing solutions for Massive MIMO systems Integration of edge computing and industrial robotics Key projects include the development of an anechoic chamber for automotive antenna testing and a channel emulator platform for integrated sensing and communication systems. His work bridges theoretical research with practical industrial applications, particularly in 6G infrastructure and IoT-enabled manufacturing. He has collaborated with organizations like Anritsu on 6G research and contributed to advancements in wireless testing methodologies. His lab facilities focus on cutting-edge measurement setups for antennas, radio channels, and edge-cloud robotics control.

• Wireless Communications
• Antenna Technology
• Millimeter Wave Systems
• +۶ مورد دیگر

Mattia Marinelli is a Professor in E-mobility in Energy Systems at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). He leads the E-mobility and Prosumer Integration section and is deeply involved in EU-funded research projects including AHEAD, EV4EU, and FLOW. He holds a PhD in Electrical Engineering from the University of Genoa and has been at DTU since 2012. Master Degree in Electrical Engineering, University of Genoa (2004–2007) PhD in Electrical Engineering, University of Genoa (2008–2011) His research focuses on electric vehicle integration, bidirectional charging, distributed energy resources, and grid flexibility. He is passionate about bridging theoretical research with real-world applications, especially in sustainable energy systems and electromobility. His work spans modeling, control, and economic analysis of EV-grid interactions, battery systems, and hybrid energy solutions. The recent publications highlight a strong trend toward vehicle-to-grid (V2G), smart charging, and integration of EVs with renewable energy sources like photovoltaics. The research emphasizes grid services, techno-economic analysis, battery degradation, and optimization of EV aggregation for market participation. Key subfields include frequency regulation, load balancing, and user-centric energy management. AEG Elektronprisen 2024 Best paper award of the IEEE PES ISGT-Europe 2021 conference Mattia Marinelli supervises numerous PhD students and leads major research grants, including Horizon Europe and H2020 projects with multi-million-euro budgets. He teaches M.Sc. and PhD courses in wind integration, distributed energy technologies, and hybrid power plants. He is actively involved in IEEE and conference leadership, contributing to the advancement of smart grid technologies. He leads the E-mobility and Prosumer Integration section at DTU, which has grown to include 34 researchers from 16 countries. The team conducts internationally recognized research in EV technologies, charging infrastructure, power electronics, and hybrid AC-DC systems, working closely with industry and European partners.

• Electric Vehicle Technologies
• Battery Energy Systems
• Power System Integration
• +۱۱ مورد دیگر

Carlos M. Lima Azevedo is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Transport Division, Intelligent Transport Systems Section within the Department of Technology, Management and Economics. He also serves as a Research Affiliate at MIT's ITSLab. His research focuses on mathematical modeling of human mobility, smart mobility services, and integrated transportation technologies. He has held roles including Research Scientist at MIT's ITSLab and Executive Director of MIT's Transportation Education Committee. Education includes a PhD from MIT (2014) and an MSc from LNEC (2008). Key projects include SimMobility (a simulation platform) and Tripod (sustainable travel incentives). Teaching includes courses on transportation systems and data analysis at MIT. His research interests span traffic simulation, safety analysis, and agent-based modeling. Recent work emphasizes equity in shared mobility, AI-driven traffic control, and urban sustainability. He collaborates on projects like Mobility of the Future and FMOD (Flexible Mobility On-Demand). His contributions include frameworks for automated mobility-on-demand systems and policy-sensitive models for transportation networks.

• Transportation Engineering
• Smart Mobility
• Urban Planning
• +۶ مورد دیگر