جستجوی استاد راهنمای دانشگاهی

Jalal Kazempour is a Full Professor at the Technical University of Denmark (DTU) in the Department of Wind and Energy Systems (DTU Wind), where he leads the Energy Markets and Analytics (EMA) section and serves as Head of Studies for the MSc program in Sustainable Energy Systems. He is an Associate Editor for Operations Research and a Senior Member of both IEEE and INFORMS, and he contributes to EU energy policy through ACER’s Expert Group on Flexibility Needs Assessment. His research lies at the intersection of optimization, game theory, control, and machine learning, focusing on data-driven approaches for modern power systems with high renewable penetration. He investigates market design, grid services, and coordination mechanisms for integrated energy systems involving electricity, hydrogen, natural gas, and district heating, aiming to improve system efficiency and decision-making. Recent publications highlight trends in privacy-preserving optimization, bidding strategies for wind and hydrogen, flexibility aggregation, and market clearing in coupled energy systems, reflecting a strong emphasis on stochastic and robust optimization, machine learning, and real-world applicability in energy markets. Scientific Awards: Best Paper Award of IEEE SmartGridComm 2023 Best Paper Award of IEEE Transactions on Power Systems (2019–2021) Best Teacher Award, DTU Electrical Engineering Department (2019) IEEE Senior Member (2018) INFORMS Senior Member (2025) Outstanding Editor, International Transactions on Electrical Energy Systems (2017) Advising and Grants: He supervises multiple PhD students across projects on power-to-X, virtual power plants, and AI for market design. He has secured major funding, including a 9.5 million DKK EUDP grant for privacy-preserving data sharing and an Industrial PhD project with Energinet funded by Innovation Fund Denmark. Labs and Teams: He founded and leads the Energy Markets and Analytics (EMA) section at DTU, formerly known as the Energy Analytics and Markets (ELMA) group, which hosts over 10 researchers and organizes the annual DTU PES Summer School.

• Energy Markets
• Power Systems
• Renewable Energy Integration
• +۱۳ مورد دیگر

Matthias Oliver Wilhelm is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark, affiliated with the Quantum Mathematics research group. His work focuses on advanced theoretical physics topics including scattering amplitudes in gauge/gravity theories, Feynman integrals, special functions, and applications of machine learning in physics. He has contributed to groundbreaking research at the intersection of quantum field theory and mathematical physics, particularly in understanding gravitational wave phenomena and high-energy particle interactions. Research Interests: His research combines quantum field theory with algebraic geometry and computational methods, exploring topics like elliptic Feynman integrals, post-Minkowskian expansions, and machine learning-driven amplitude calculations. Recent work includes leveraging Calabi-Yau manifolds for gravity-related Feynman integrals and developing transformer-based algorithms for scattering amplitude computations. Awards: He received the Velux Grant - Villum Young Investigator in 2018, recognizing his innovative contributions to theoretical physics. Projects: Leveraging Algebraic Geometry for High-Precision Fundamental Physics (2024-2028, DFF-funded) Thermodynamics of strongly coupled Quantum Field Theory (2019-2027, private foundation-funded) Key Themes in Recent Work: His articles emphasize novel computational techniques (e.g., machine learning for integration-by-parts reduction), formal developments in scattering amplitude theory, and geometric approaches to quantum gravity problems. Notable contributions include classifying Feynman integral geometries for black-hole scattering and advancing elliptic function methodologies in perturbative QFT.

• Quantum Field Theory
• Mathematical Physics
• Special Functions
• +۳ مورد دیگر

Chiara Crovini is an Associate Professor at Aalborg University Business School, part of The Faculty of Social Sciences and Humanities. She is affiliated with the Accounting Research Group and the Green Societies initiative. Her research focuses on risk management, sustainability reporting, and the convergence of financial and management accounting. She has received grants from SIDREA, ICAS, EFRAG, and participates in projects like 'Green Transitions in Port of Aalborg' and 'Sustainability Reporting: Case studies in Aalborg companies.' Chiara holds a Ph.D. from the University of Turin (2017) with a thesis on risk management in SMEs, and has taught courses such as 'International Accounting and IFRS' and 'Financial Statement Analysis' at Aalborg University. She has also lectured at the University of Turin, Politecnico di Torino, and Pforzheim Business School. Her pedagogical interests include digital inquiry methods and student engagement in problem-based learning environments. Her research explores topics like integrated reporting quality, ESG media coverage, and carbon accounting challenges. She has published in journals such as International Journal of Innovation and Learning and Journal of International Financial Management & Accounting , and presented at conferences like the European Sustainability Accounting & Reporting Conference. Chiara’s work contributes to UN Sustainable Development Goals, particularly in education and sustainability. She has received awards including the Best Reviewer Award 2020 and Premio Migliori Laureati 2013/2014. Her current projects involve investigating internal sustainability reporting practices through the AAUBS Sustainability Lab and the SSH Talent Programme.

• Risk Management
• Sustainability Reporting
• Integrated Reporting
• +۳ مورد دیگر

Henrik Schønau Fog is an Associate Professor and Deputy Head of Department at Aalborg University's Department of Architecture, Design and Media Technology, part of The Technical Faculty of IT and Design. His research focuses on interactive storytelling, game design, and educational technology, with a particular emphasis on adaptive narratives, player engagement, and serious games. He leads initiatives such as the Center for Applied Game Research (CEAGAR) and the SMILE Lab, exploring real-time filmmaking, virtual reality, and gamification in education. His work bridges theory and practice, addressing challenges in interactive media, climate awareness through games, and improving learning outcomes via purposive game development. Key projects include AGAVE (AI-Driven Game Adaptation for Virtual Environments) and ViZARTS (Visualization and Adaptive Real-Time Storytelling). Fog has authored over 60 publications, with notable contributions in adaptive narratives, emotional response analysis, and educational game frameworks. He has received prestigious awards, including Best Paper recognitions at HCI in Games and Interactive Storytelling conferences. His teaching portfolio emphasizes problem-based learning and hybrid educational models, fostering technical and collaborative skills through game development courses. Fog collaborates internationally, engaging with institutions like Arizona State University and contributing to media innovations showcased in film, virtual reality, and interactive installations. His research also extends to measuring workplace well-being via wearable technology and enhancing museum experiences through immersive VR interfaces.

• Media Research
• Adaptive Interactive Storytelling
• Computer Games
• +۹ مورد دیگر

Connie Svabo is a Professor at the University of Southern Denmark (SDU), affiliated with the Department of Mathematics and Computer Science within the Faculty of Science and Engineering. She serves as Head of the Section for Learning, Experience and Design (LxD), leads the Research Center for Science Education and Communication (FNUG), and is a key figure in the SDU Climate Cluster and CUHRE Elite Center. Her interdisciplinary work bridges STEM education, design, and science communication. PhD in relevant field MSc in relevant field Her research focuses on learning environments, hybrid knowledge architectures, and creative pragmatics in education. She integrates pedagogy, technology, and design to develop innovative STEM teaching strategies. Her work emphasizes interdisciplinary collaboration, professional development, and sustainability in education. The most recent publications reflect a strong trend toward creative pragmatics, interdisciplinary STEM education, and the development of learning environments that address complex, real-world challenges. Her work spans formal and informal education, with applications in schools, museums, and community projects. SCC Fast track - uddelingsrunde november 2024 Statens Kunstfond: arbejdslegat (2006) Connie Svabo supervises five PhD students through the Science and Mathematics Education and Communication (SMEC) program and has led major funded projects such as LabSTEM+ (Novo Nordisk Foundation), LAVIN (NAFA/CESE), MATKULT (EU/Interreg), and RASL (Erasmus+). She played a foundational role in establishing the Center for Primary School Research and the LSUL partnership between SDU, UCL, and UC SYD. Her external engagements include serving on the Industrial Research Committee for Social Sciences and Humanities at Innovation Fund Denmark, the advisory board of FabLab Spinderihallen, and the scientific committee of UNESCO Global Geopark Det Sydfynske Øhav. She leads the FNUG research center, where interdisciplinary teams develop innovative science education approaches. She is also involved in CUHRE and collaborates extensively with museums and cultural institutions such as Experimentarium, Viking Ship Museum, and Stevns Klint UNESCO World Heritage Site.

• STEM Education
• Science Communication
• Learning Environments
• +۱۵ مورد دیگر

Professor Matthias Mann is Research Director and Group leader at the Proteomics Program at Novo Nordisk Foundation Center for Protein Research (CPR) at the University of Copenhagen's Faculty of Health and Medical Sciences. He also holds a Director position at the Max-Planck Institute of Biochemistry in Munich. As one of the most highly cited researchers in the world with h-index 216 and over 200,000 citations, Mann is a pioneer of mass spectrometry-based proteomics who has made landmark contributions to the development of electrospray ionization. Professor Mann's research interests focus on proteomics technology development and its application to biological and clinical problems. His Clinical Proteomics group applies mass spectrometry-based proteomics to understand human health and disease, with the goal of improving patient diagnosis, stratification, and prevention of diseases such as metabolic disorders and cancer. The group has established robust, high-throughput proteome profiling pipelines for clinical cohorts and develops AI-guided platforms for analyzing proteomes from low amounts of formalin-fixed, paraffin-embedded samples. A key research area is the interpretation of multi-omics data through the Clinical Knowledge Graph, which harmonizes multi-omics data with meta-data for machine learning applications. Professor Mann's recent publications demonstrate trends across several fields including clinical proteomics, biomarker discovery, mass spectrometry technology development, and multi-omics integration. His work spans applications in cancer research, metabolic diseases, neuroscience, and cardiac biology, with a consistent focus on translating proteomic technologies into clinical applications for personalized medicine. Dr H.P. Heineken Prize for Biochemistry and Biophysics 2024 Louis-Jeantet Foundation Prize for Medicine (2012) Leibniz Prize of the German Research Society (2012) Körber European Science Award (2012) Ernst Schering Prize (2012) Protein Society Anfinsen Award (2005) Novo Nordisk Prize (2004) Professor Mann has mentored numerous researchers, with several former post-docs receiving prestigious ERC Starting Grants. His research has been supported by significant funding from the Novo Nordisk Foundation and other major research organizations. The Mann Group maintains collaborations with clinical researchers across multiple institutions to apply proteomics to patient cohorts and disease studies. The Mann Group operates within the Novo Nordisk Foundation Center for Protein Research at the University of Copenhagen, working closely with other research groups including the Choudhary Group, Olsen Group, and others within the CPR. The group maintains state-of-the-art mass spectrometry facilities and develops computational tools for proteomic data analysis, creating an integrated environment for technological innovation and biological discovery.

• Proteomics
• Mass spectrometry
• Clinical proteomics
• +۶ مورد دیگر

Ingemar Johansson Cox serves as a Professor within the Machine Learning section at the Department of Computer Science, University of Copenhagen. His research bridges theoretical machine learning foundations with practical applications across medical data analysis, information retrieval, remote sensing, and sustainability initiatives. His research portfolio emphasizes machine learning applications in high-impact domains, particularly medical data analysis (e.g., early detection of gynecological malignancy using online search activity) and sustainability (e.g., reducing AI's carbon footprint). The Machine Learning section actively contributes to the university's SCIENCE AI Centre, focusing on both algorithmic innovation and real-world problem-solving in biological modeling and environmental monitoring. Recent publication trends reveal expanding work in quantum computing applications for biomolecular modeling, sustainable AI frameworks, and cross-cultural NLP systems. His 2024-2025 output demonstrates strong interdisciplinary collaboration, especially in medical informatics and climate-related AI research. Professor Cox operates within the Department of Computer Science's robust research ecosystem, which includes dedicated compute clusters and specialized initiatives like TreeSense for global tree resource monitoring through remote sensing and deep learning. The department's infrastructure supports large-scale machine learning projects requiring significant computational resources.

• Machine Learning
• Information Retrieval
• Medical Data Analysis
• +۳ مورد دیگر

Alvaro Torralba is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark, affiliated with the Technical Faculty of IT and Design. His research focuses on symbolic search, heuristic functions, and planning algorithms within artificial intelligence and machine learning. Notable projects include the ConAn initiative exploring contrastive analysis for state-space exploration. He has contributed extensively to classical planning, probabilistic planning, and automated planning competitions, earning awards such as the First Prize in the Agile Track of the 10th International Planning Competition (IPC’23). His work often bridges theoretical advancements with practical applications, including game-based network update synthesis and believable non-player character development. Research outputs include over 60 publications since 2011, with a focus on optimizing search algorithms and enhancing planning efficiency through techniques like operator-potential heuristics and bidirectional search strategies. His scientific contributions span algorithmic innovation, verification methodologies, and large-scale abstraction evaluation. Collaborations and datasets include foundational work on PDDL generators and pattern databases, with open-access resources available via Zenodo. As a program committee member and award-winning researcher, Torralba actively contributes to advancing the frontiers of AI planning and decision-making systems.

• Symbolic Search
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Toine Bogers is a Part-Time Lecturer at Aalborg University , affiliated with the Department of Communication and Psychology within the Faculty of Social Sciences and Humanities . He is a core member of the AI for the People research group. His work focuses on Recommender Systems , Information Retrieval , and Social Media Analysis , with particular emphasis on applications in talent search, leisure information needs, and multistakeholder evaluation. Research Interests: Recommender systems, information seeking behavior, collaborative filtering, human resources algorithms, and ethical evaluation frameworks. His work bridges technical innovation with societal impact, often addressing challenges in job matching, cultural heritage retrieval, and user-centric design. Awards: Best Paper Award at CHIIR 2021 Outstanding PC Member (2020) Best Reviewer (2020, 2018, and multiple years) Grants & Projects: PI of JobMatch (2020–2023): Developing job recommendation systems for unemployed individuals Co-PI of Flipping Information Studies (2017–2019): Integrating video lectures into problem-based learning Organized workshops at RecSys on topics like Recommender Systems in HR and ComplexEnvironments Labs/Teams: He leads research in the AI for the People group, emphasizing human-centered AI applications in recruitment, cultural heritage, and social media analysis.

• Recommender Systems
• Information Retrieval
• Search Engines
• +۸ مورد دیگر

Martin Skovgaard Andersen is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he specializes in Scientific Computing. His research integrates numerical methods, optimization, and machine learning to solve complex computational problems in engineering and data science. Education: Ph.D., University of California, Los Angeles (2006–2011) M.Sc., Aalborg Universitet (2001–2006) Postdoc, Linköping University, Sweden (2011–2012) His research interests include optimization (particularly conic and stochastic programming), numerical algorithms, signal processing, system identification, and fast solvers for integral equations. He works extensively on matrix analysis, regularization, and low-rank approximations, contributing to both theoretical and applied advancements in computational mathematics. The recent publications highlight a strong trend in developing efficient numerical algorithms for large-scale optimization and solving integral equations. His work emphasizes preconditioning, matrix truncation, and Bayesian inversion, with applications in electromagnetics, structural health monitoring, and network identification. There is a consistent focus on improving computational efficiency and scalability of solvers. Scientific Awards: No specific awards mentioned in the provided text. Andersen actively supervises PhD students and leads multiple research projects, including those on non-symmetric conic optimization, data-sparse models, and fast direct solvers. He is the Principal Investigator (PI) on projects related to physics-informed structural health assessment. His collaborative network spans Denmark and international institutions, particularly in computational mathematics and engineering. Labs and Research Teams: He is affiliated with the Scientific Computing section at DTU, which focuses on high-performance computing, numerical algorithms, and mathematical modeling. His work is embedded in a collaborative environment involving researchers in optimization, control theory, and computational electromagnetics.

• Optimization
• Signal Processing
• Machine Learning
• +۱۲ مورد دیگر

Torben Anker Lenau is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His work focuses on biomimetic design, sustainable engineering, and innovative material applications. He leads research projects addressing multi-functional problem-solving, renewable energy systems, and eco-design principles. His expertise contributes to UN Sustainable Development Goals, particularly in sustainable cities, clean energy, and responsible consumption. Key research interests include biomimicry in product development, lifecycle assessment, and bio-inspired materials. Notable projects include kinetic energy harvesting for wildlife tracking and bio-inspired medical devices. He has published extensively on topics like prototyping strategies, material selection, and biomimetic self-healing systems. Projects: Integrated Design (1999–present), Processed Material Selection (1996–present), CAD/CAM Prototyping (1996–present) Contributions: Over 100 publications, 27 projects, and patents in medical and energy sectors His work emphasizes translating biological principles into engineering solutions for sustainability challenges. Collaborations span academia and industry, with a focus on global impact through innovative design methodologies.

• Biomimetics
• Engineering Design
• Sustainable Design
• +۳ مورد دیگر

Alison Louise Milner is an Assistant Professor in the Department of Culture and Learning at Aalborg University's Faculty of Social Sciences and Humanities. She joined in 2020 after completing her PhD at the University of Nottingham, focusing on teacher professionalism in England and Sweden. Her research explores teacher unions, social dialogue, education policy, and inclusive education systems. She is a co-PI on EU-funded projects addressing teaching profession attractiveness and union renewal. Education: PhD in Education from University of Nottingham (2015–2019) Qualified secondary school teacher in England and Sweden (French/German/Spanish) Completed university pedagogy course for assistant professors (Spring 2022) Research Interests: Teacher professionalism, education policy governance, social dialogue in education, union renewal, and comparative analyses of European education systems. She speaks English, French, German, Spanish, Swedish, and Danish. Recent Research Output: Focused on cross-national comparisons of education policy, teacher union dynamics, and inclusive education frameworks. Her work includes analyzing accountability mechanisms in Denmark and England, trade union renewal strategies, and pandemic-era governance challenges. Awards: Educational Review Article of the Year Award 2019 Teaching: Coordinates modules on qualitative research methods, global education perspectives, and comparative education design. Supervises master's theses and moderates academic programs on organizational learning and change processes. Key Projects: 'Getting stronger together: trade union renewal in education' (EU-funded, 2023–2024) 'Education Access under the Reign of Testing and Inclusion' (Danish funded, 2019–2023)

• Teacher Professionalism
• Education Policy
• Comparative Education
• +۶ مورد دیگر

Maria Hvid Bech Dille is an Assistant Professor in Organization and Learning at Aalborg University (AAU), Copenhagen, and a member of the Institute for Advanced Study in Problem-based Learning (IAS PBL). She holds a PhD in management studies (2021) and a master’s in critical organization studies. Her research focuses on digitalization’s societal impacts, care work dynamics, and interdisciplinary collaboration with practitioners and institutions. Education: PhD: 'Becoming in the middle - towards a new materialist perspective on middle management positions in education' (Aalborg University, 2021) Master’s in critical organization and management studies Research Interests: Explores digital transformation’s role in creating inclusion/exclusion divides, elderly care work valuations, and the intersection of digital care with professional identities. Uses poststructuralist/posthumanist frameworks and feminist ethics of care. Engages in projects like LABCare (elderly care education), Hybrid Learning in Aesthetic Practices, and immigrant inclusion initiatives. Teaching Roles: Bachelor’s program in Communication & Digital Media Master’s programs in Data-Driven Organizational Development and Nordic Master in Visual Studies/Art Education Key Projects: LABCare: Expansive learning environments in elderly care (2023–2028) Inclusion of Adult Immigrants: Sustainable model for societal integration (2022–2023) Hybrid Learning in Aesthetic Practices: Innovating arts education (2022–2025) Labs/Teams: VILD Research Center (Visual Studies & Learning Design) and ILD-LAB (IT & Learning Design).

• Digital Transformation
• Care Work
• Organizational Studies
• +۳ مورد دیگر

Anne Marie Kanstrup is a **Professor** and **Pro-rector** at **Aalborg University**, affiliated with the *Faculty of Social Sciences and Humanities* and the *Department of Culture and Learning*. Her research focuses on participatory design, assistive technology, and inclusive digital solutions for vulnerable populations, such as individuals with cognitive disabilities or severe physical impairments. She leads or participates in high-impact projects like the *Center for Rehabilitation Robotics*, developing exoskeletons and assistive technologies for severely disabled individuals. Her work emphasizes user involvement and interdisciplinary collaboration, addressing challenges in healthcare, education, and technology design. Key research themes include participatory design methodologies, digital coping strategies for youth with disabilities, and mobile health (mHealth) applications for chronic disease management. Her recent publications explore topics like exoskeleton usability, digital inclusion of disabled youth, and shared decision-making in healthcare. As Pro-rector, she drives initiatives such as the *PBL Digital Masterplan* to integrate digital learning tools into university education. Her activities include organizing workshops on creativity in technology design and advising on policies for health informatics and academic innovation. Notable projects include user-centered development of the EXOTIC exoskeleton and collaborative studies on mHealth applications for adolescents with knee pain. Her work bridges academic research with practical implementation, emphasizing societal impact and user empowerment.

• Participatory Design
• Assistive Technology
• Health Informatics
• +۳ مورد دیگر

Dimitris Chrysostomou is an Associate Professor in the Department of Materials and Production at Aalborg University, Denmark. He leads the Robotics & Automation Group and directs the AI:Cybernetics Lab. His work focuses on developing safe, intuitive robotic systems for industrial and social contexts, emphasizing human-robot interaction (HRI), AI ethics, and collaborative robotics. Chrysostomou has over 15 years of research experience, funded by EU frameworks and national grants, with over 70 peer-reviewed publications. Education: PhD in Robot Vision (2013) and Diploma in Production Engineering (2006) from Democritus University of Thrace. He coordinates courses in robotics and manufacturing technology, emphasizing problem-based learning models. Administrative roles include heading the Robotics and Automation Group and the Aalborg Robotics Challenge steering committee. Research interests span AI-driven robotics, ethical implications of robot behavior, and HRI evaluation methodologies. Key projects include SAPIENT (2025-2027) for robotic intelligence and RIACT (2024-2025) on collaborative robot technology. Editor-in-Chief of *Industrial Robot* journal, IEEE Senior Member, and leader in euRobotics standardization initiatives. Notable contributions include virtual assistants for industrial robots, trust evaluation frameworks in HRI, and energy-based approaches for collaborative robotics. Active in conference organization, editorial roles, and industry collaborations, including co-founding AI startups.

• Robotics
• Computer Vision
• Human-Robot Interaction
• +۴ مورد دیگر