جستجوی استاد راهنمای دانشگاهی

Jens Øllgaard Duusمشاهده پروفایل

استاد

• NMR Spectroscopy
• Analytical Chemistry
• Structural Chemistry
• +۱۲ مورد دیگر

Jens Øllgaard Duus is a Professor and Vice Dean at the Technical University of Denmark (DTU), with dual roles in the Office for Study Programmes and Student Affairs and the Center for Teaching and Learning in Engineering Education. His primary academic affiliation is with the Department of Chemistry at DTU, where he conducts advanced research in NMR spectroscopy and structural analysis of complex organic molecules. His research focuses on the development and application of analytical methods for carbohydrates, natural products, and peptides, with applications in food and pharmaceutical sciences. Key areas include glycosylation, enzyme mechanisms, and structural elucidation of bioactive compounds. His work contributes to UN Sustainable Development Goals in life sciences and analytical chemistry. The recent publications highlight a strong trend in glycoscience, particularly in enzyme-catalyzed glycosylation, structural analysis of polysaccharides, and engineering of glycosyltransferases and glycosidases for synthetic applications. His work bridges chemistry, biotechnology, and medicine. Jens Øllgaard Duus actively supervises multiple PhD students across interdisciplinary projects, including work on drug delivery to the CNS, nucleic acid analogues, and AI in education. He is involved in both fundamental and applied research, contributing to sustainable chemistry and biotechnology. Structural elucidation of novel pro-inflammatory polysaccharides from Daphne mezereum L. (2024) Denmark as the Energy Island Pioneer (2023) Promiscuous Yet Specific: A Methionine-Aromatic Interaction in Glycosyltransferase (2023) Engineered Hexosaminidase as a Glycoligase (2023) Family 1 Glycosyltransferase from Zea mays (2022) He has supervised PhD projects on generative AI in education, nucleic acid analogues, CNS drug delivery, and asymmetric catalysis. His leadership in educational innovation and research supervision underscores his dual impact on science and pedagogy. He is affiliated with research groups in chemistry and biotechnology at DTU, contributing to a collaborative network focused on sustainable science and engineering education. His work integrates analytical chemistry with biological applications, forming a unique interdisciplinary fingerprint.

Francisco Camara Pereiraمشاهده پروفایل

استاد

• Intelligent Transportation Systems
• Machine Learning
• Active Learning
• +۳ مورد دیگر

Francisco Camara Pereira is a Professor and Head of Section at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on Intelligent Transportation Systems, Machine Learning, and Data-Driven Decision-Making in transportation contexts. He actively contributes to advancing transportation science through interdisciplinary approaches combining simulation, optimization, and AI techniques. His work addresses challenges in public transport analysis, charging infrastructure planning, and multimodal demand prediction. Recent projects include developing graph-based optimization methods for electric vehicle networks and causal discovery frameworks for transportation systems. He supervises multiple PhD students in areas like federated learning for cyclist safety, causal graph neural networks, and socially aware AI models. Key contributions include publications on smart card data analysis for travel surveys, stochastic infrastructure expansion models, and transfer learning for bike-share systems. His research aligns with UN Sustainable Development Goals related to sustainable cities and innovation. Dr. Pereira collaborates internationally on transportation policy and infrastructure projects. His lab focuses on translating theoretical advancements into practical solutions for urban mobility challenges.

Erwin Schoofمشاهده پروفایل

دانشیار

• Proteomics
• Mass Spectrometry
• Single-Cell Analysis
• +۷ مورد دیگر

Erwin Schoof is an Associate Professor at the Department of Biotechnology and Biomedicine , Technical University of Denmark. He leads the Cell Diversity Lab and focuses on advancing proteomics and mass spectrometry technologies. Expertise in single-cell proteomics , stem cell niches , and bioinformatics . Active in myelofibrosis and leukemia research , with applications in UN Sustainable Development Goals . Research Trends from 2025–2024 include: Machine learning-driven peptide sequencing (InstaNovo, InstaNexus). Single-cell resolution tools for mapping hematopoietic stem cells and tumor microenvironments . Biomarker discovery in chronic diseases and respiratory conditions . Supervision : Mentors multiple PhD students on single-cell proteomics , omics data analysis , and biotherapeutic production . Labs & Collaborations : Collaborates with international teams on plasma proteomics , 3D bioengineering , and advanced mass spectrometry workflows .

• Genome Integrity
• Structural Molecular Biology
• CRISPR-Cas Systems
• +۳ مورد دیگر

Professor Guillermo Montoya is a Research Director and Group Leader at the Protein Structure & Function Program of the Novo Nordisk Foundation Center for Protein Research (CPR), University of Copenhagen, Denmark. His work focuses on unraveling cellular mechanisms at the atomic level through advanced methodologies including X-ray crystallography and cryo-electron microscopy. PhD in Chemistry, University of Zaragoza (1989–1993) MSc in Biochemistry, University of the Basque Country (1984–1989) Montoya's research spans Structural Molecular Biology and Genome Integrity , with specific emphasis on: Activation mechanisms of oligomeric kinases CRISPR-Cas12a conformational dynamics Macromolecular complexes in telomere maintenance His publications reveal significant contributions to CRISPR-Cas systems , kinase activation , and DNA/RNA degradation mechanisms . Scientific Awards: EMBO Member (2018) Spanish National Prize in Biomedicine (2009) Multiple Fellowships (EMBO, Marie Curie, FEBS, Marie Curie) Montoya's group integrates structural biology with cell biology to address fundamental questions in genome stability and biomedical applications. His work has been cited over 188 times for studies on CRISPR-Cas endonucleases and has attracted attention from 41 patents.

John Dalsgaard Sørensenمشاهده پروفایل

استاد

• Wind Turbines
• Structural Safety
• Risk Analysis
• +۵ مورد دیگر

John Dalsgaard Sørensen is a Professor and Head of Research Group at the Department of the Built Environment, Aalborg University, within the Faculty of Engineering and Science. He leads the Risk, Resilience, Safety, and Sustainability of Systems Research Group and is affiliated with the Danish Centre for Risk and Safety Management. His research focuses on structural safety, wind turbine reliability, probabilistic design, and risk assessment of infrastructure systems. He has supervised 13 PhD students and contributed to over 600 publications. Key research areas include wind turbine structural integrity, fatigue analysis of offshore and onshore structures, probabilistic design standards (e.g., Eurocodes), and risk-based decision-making for infrastructure. He leads projects like Windscanner (remote sensing for wind measurements) and MANTIS (cyber-physical maintenance systems). Collaborations span academia and industry, addressing challenges in energy systems, civil infrastructure, and safety engineering. His work emphasizes practical applications of advanced modeling techniques, such as Bayesian networks and stochastic simulations, to enhance reliability and reduce operational costs. He is actively involved in standardization efforts for structural design and serves on boards like Energi- og MiljøData Fonden. Recent activities include presenting at international conferences and advising on media debates related to structural safety.

Alex Arenasمشاهده پروفایل

استاد

• Complex Systems
• Network Science
• Multilayer Networks
• +۱۲ مورد دیگر

Alex Arenas is a Full Professor in the Department of Computer Engineering and Mathematics at Universitat Rovira i Virgili (URV), Tarragona, Spain. He is also an External Faculty member at the Complexity Science Hub in Vienna and Chief of Complex Systems Science at the Pacific Northwest National Laboratory, USA. His research spans complex systems, network science, computational epidemiology, and multilayer dynamics, with applications in public health, neuroscience, and social systems. Research Interests: His work focuses on the physics of multilayer networked systems, particularly the interplay between structure and function in complex networks. Key areas include synchronization, epidemic modeling, network medicine, the physics of the microbiome, and higher-order interactions in spreading processes. He investigates dynamic transitions using functional multilayer frameworks and develops models for real-world systems like urban mobility and misinformation diffusion. The recent articles highlight a strong trend in computational epidemiology, especially post-COVID modeling of vaccination strategies, rebound dynamics, and wastewater surveillance. There is also significant work on synchronization in oscillator networks, chimera states, and higher-order network effects, reflecting a deep engagement with nonlinear dynamics and theoretical network science. Applications span medicine, urban planning, and social systems. Scientific Awards: Fellow, American Physical Society (2018) Fellow, Network Science Society (2020) ICREA Academia (2011, 2017, 2022) Narcís Monturiol Medal (2022) Web Science Trust Test of Time Award (2024) Complex Systems Society Senior Award (2024) Advising and Grants: Arenas has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed. He has been Principal Investigator on 47 research projects, including EU FP7 projects, a James S. McDonnell Foundation grant, and Horizon Europe's CREXDATA project. He has served as an editor for Physical Review E , Journal of Complex Networks , and Network Neuroscience , and has reviewed for major funding agencies including ERC, MINECO, and international bodies. Labs and Teams: He leads the Alephsys Lab at URV, which develops tools like Radatools for network analysis and community detection. His team focuses on interdisciplinary modeling of real-world complex systems using data-driven and theoretical approaches.

Peter Feldhütterمشاهده پروفایل

استاد

• Empirical Asset Pricing
• Credit Risk
• Fixed Income Markets
• +۳ مورد دیگر

Professor Peter Feldhütter is a faculty member at the Department of Finance, Copenhagen Business School (CBS), where he has held the position since 2017. He earned his PhD from CBS and previously worked at the London Business School. His research focuses on fixed income markets, particularly examining how prices are influenced by illiquidity, credit risk, and supply-demand imbalances. Notable contributions include studies on U.S. corporate bond market liquidity and credit spread dynamics. Key research areas include empirical asset pricing, credit risk, fixed income analysis, and liquidity risk. He has authored influential papers such as The Myth of the Credit Spread Puzzle and Corporate Bond Liquidity Before and After the Subprime Crisis . Received awards: Jack Treynor Prize, Wharton’s Outstanding Paper Award, and Nykredit’s Talented Researcher Award. External advisory roles: Legal advice for NTC Parent, Shell, and FourWorld Capital Management; academic advising for Copenhagen Economics. Teaching: External faculty at London Business School and University College London. His recent work explores ESG investing’s impact on capital structure and pricing of sustainability-linked bonds. Ongoing projects include studies on financial market liquidity and corporate bond valuation frameworks.

Sebastian Risiمشاهده پروفایل

استاد

• Neuroevolution
• Evolutionary Robotics
• Self-Organizing AI
• +۹ مورد دیگر

Sebastian Risi is a Professor at the IT University of Copenhagen , where he directs the Creative AI Lab and co-directs the Robotics, Evolution and Art Lab (REAL) . His work bridges computational evolution, deep learning, and collective intelligence for applications in robotics, art, and video game design. His research focuses on self-organizing AI systems that grow or assemble through local interactions, inspired by biological development. Key areas include neuroevolution , neural cellular automata , and generative modeling , with applications in adaptive robotics, game content creation, and damage-resilient AI. Recent publications highlight trends in self-assembling neural architectures (NDPs) and 3D functional machine generation (Minecraft experiments). Awards include ERC Consolidator Grant (2022), Best Paper at FDG’21 , and Google Faculty Award (2019). Scientific Awards : ERC Consolidator Grant (GROW-AI), Best Paper FDG’21, Runner-Up IEEE Games’20, GECCO 2017 Competition Winner, Sapere Aude Grant, Amazon/Google Faculty Awards He advises on projects like GROW-AI (EU-funded), AI-TESTER (game testing), and C2SIM (military systems). Media coverage includes Science , Wired , and Popular Science .

• Machine Learning
• Medical Image Analysis
• Deep Learning
• +۵ مورد دیگر

Erik Bjørnager Dam is a Professor in the Machine Learning section at the Department of Computer Science, University of Copenhagen (UCPH). His research spans theoretical foundations of machine learning to practical applications in medical data analysis, sustainability, and materials science. His key research interests include: Small-scale and resource-efficient deep learning Medical image analysis and segmentation Sustainable and environmentally conscious AI development Graph neural networks for materials science Resource-constrained AI systems Professor Dam's recent publications demonstrate a strong focus on making AI more accessible and sustainable while maintaining high performance standards. His work on 'Performance Per Resource Unit' metrics addresses critical challenges in deploying AI in resource-limited environments, particularly in healthcare applications. His research bridges theoretical machine learning with practical implementations across multiple domains. His notable professional activities include: Co-founding Cerebriu A/S (since 2018) Co-founding Biomediq A/S (since 2008) Delivering lectures on AI's role in green transition (April 24, 2023) Media contributions on deep learning applications in plant research (September 13, 2018) With 74 documented research outputs, Professor Dam maintains an active research profile with significant contributions in 2023-2025 across medical imaging, sustainable AI, and materials science applications.

Grethe Wintherمشاهده پروفایل

استاد

• Microstructure of Metals
• Dislocation Structures
• Plastic Deformation
• +۷ مورد دیگر

Grethe Winther is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in Materials and Surface Engineering. Her research is centered on the analysis and modeling of microstructure and mechanical properties of metals, with a strong emphasis on dislocation structures, deformation textures, and recrystallization processes. Her research interests include: Dislocation structures and boundary analysis in deformed metals Crystal plasticity modeling using synchrotron data (3DXRD) Orientation relationships in recrystallization Prediction of mechanical properties in industrial metal forming Multiscale modeling of plastic deformation and surface roughening The recent articles (2025) highlight a consistent focus on advanced characterization techniques like dark-field X-ray microscopy and discrete dislocation dynamics simulations. These works explore the formation of geometrically necessary boundaries, dislocation cell evolution, and multiscale surface deformation, reflecting a strong integration of experimental and computational methods in materials science. Key themes include plastic deformation mechanisms, microstructure evolution, and predictive modeling in metallic systems. Grethe Winther actively supervises multiple PhD projects, including those on dislocation dynamics, X-ray microscopy, and ductile failure simulations. She collaborates extensively with researchers such as H.F. Poulsen and C.V. Nielsen. Her work is supported by ongoing research projects at DTU, focusing on fundamental and applied aspects of metal deformation and microstructure. She is affiliated with the Materials and Surface Engineering section at DTU, where she leads research efforts combining advanced experimental techniques with theoretical modeling to understand and predict metal behavior under deformation.

Philip Billeمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• String Processing
• +۹ مورد دیگر

Philip Bille is a Professor and Head of the Algorithms, Logic and Graphs section at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), College of Engineering. His research centers on the design and analysis of efficient algorithms, particularly for string processing, compressed data, and data structures. His research interests lie at the intersection of theoretical computer science and practical applications. He focuses on algorithms , data structures , string indexing , pattern matching , and compressed computation . His work enables efficient querying and processing of large-scale, repetitive data, with applications in bioinformatics, intrusion detection, and green computing. The recent publications reflect a strong trend in developing space-efficient and fast algorithms for modern computational challenges. Key themes include compressed data structures , sliding window indexing , finite automata compression , and energy-aware matrix operations . These works demonstrate expertise in balancing theoretical rigor with practical performance. Philip Bille actively supervises multiple PhD students and leads several research projects. He contributes to advancing sustainable computing aligned with UN SDGs. His work integrates algorithmic theory with real-world efficiency. Supervises PhD projects on hierarchical compression, adaptive computation, and vector processor algorithms. Involved in research on green computing, compressed formats, and efficient data models. He is affiliated with the Algorithms, Logic and Graphs group at DTU, a hub for theoretical and applied algorithmic research. The team explores fundamental problems in data representation and processing, pushing the boundaries of what is computationally feasible in terms of time and space.

Birger Lindberg Møllerمشاهده پروفایل

استاد

• Plant Biochemistry
• Natural Products Chemistry
• Cyanogenic Glucosides
• +۵ مورد دیگر

Birger Lindberg Møller is a Professor in Plant Biochemistry at the Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen. He also serves as Director of the Carlsberg Laboratory (since 2014) and Head of the VILLUM Research Center for Plant Plasticity (since 2013). His research spans plant biochemistry, synthetic biology, and natural products chemistry with applications in sustainable production systems. His educational background includes: M.Sc. (1972) Ph.D. (1975) D.Sc. (1984) D.Sc. h.c. (honoris causa) Professor Møller's research focuses on bio-active natural products , particularly the biosynthesis, transport, storage and degradation of cyanogenic glucosides . His work elucidates how plants communicate with their environment and defend themselves against herbivores, pests and abiotic stresses. A promising application of his lab's research involves engineering microalgae, mosses and plant cells into production units for high value natural products . His engagement in synthetic biology represents a logical extension of his plant research activities, with work targeted towards forming new combinations of membrane proteins for harvesting sunlight energy to synthesize valuable natural products or degrade toxic compounds. Analysis of Professor Møller's recent publications reveals a strong focus on plant specialized metabolism, particularly cyanogenic glucosides and related compounds. His work spans genomics, transcriptomics, metabolomics, and synthetic biology approaches to understand plant defense mechanisms and engineer plants for improved traits. Key themes include sorghum and cassava metabolism, diterpenoid biosynthesis, and the application of synthetic biology for sustainable production of high-value compounds through photosynthetic systems. His notable scientific awards include: Villum Kann Rasmussen Research Prize (2007) - Denmark's largest research award (2.5 mil DKK or 350,000 €) The Academy of Future Research's "The Future Prize" (2004) Societas Physiologia Plantarum Scandinavica "Popularization Prize" (2003) Knight of the Dannebrog (1995) Carlsberg Research Prize Award (1994) Hans Gram Medal from the Royal Danish Academy of Sciences and Letters (1985) Appointed Honorary Doctor at the University of Umeå, Sweden (2009) Professor Møller has served as the main advisor for 43 PhD students (with 8 ongoing in Denmark and 3 in Australia) and numerous BSc and MSc students. He has secured significant research funding throughout his career, including an ERC Advanced Grant (2.5 million €), Villum Foundation grants, and participation in major research centers with multi-million euro budgets. His current funding includes projects related to synthetic biology, plant plasticity, and cyanogenic glucoside metabolism. He leads the Plant Biochemistry Laboratory and is deeply involved with the Center for Synthetic Biology at the University of Copenhagen. His laboratory focuses on understanding plant specialized metabolism and applying this knowledge through synthetic biology approaches to engineer plants and microorganisms for sustainable production of high-value compounds. His team collaborates extensively with international partners across Europe, Australia, and beyond, and he actively promotes cross-disciplinary collaboration to address complex global challenges in energy, sustainability, and medicine.

• Marriage and Family Dynamics
• Gender Inequality
• Intergenerational Relationships
• +۳ مورد دیگر

Mengni Chen is a Tenure Track Assistant Professor at the Department of Sociology , University of Copenhagen , affiliated with the Faculty of Social Sciences . She holds a PhD from the University of Hong Kong and previously worked as a research scientist at institutions including the University of Cologne (Germany), Catholic University of Louvain (Belgium), and Vienna University of Economics and Business (Austria). Her research focuses on marriage/family dynamics, gender inequality, intergenerational relationships, socioeconomic development, and population dynamics. She teaches courses such as 'Population and Society,' 'Social Problems,' 'Family Sociology of a Changing Society,' and 'Advanced Quantitative Data Analysis.' Recent Research Highlights: - Analyzes late parenthood trends in East Asia. - Explores intergenerational emotional dynamics in aging Chinese families. - Investigates gender equality in household labor via Hong Kong case studies. - Examines spatial-temporal suicide determinants in China. - Compares life expectancy between Hong Kong and Japan. Professional Contributions: - Authored/edited 27 peer-reviewed publications since 2015. - Research spans sociology, demography, public health, and policy analysis. - Collaborations with international institutions in Europe, Asia, and beyond. - Active in policy-relevant demographic studies addressing societal challenges.

Morten Birkvedمشاهده پروفایل

استاد

• Life Cycle Assessment
• Environmental Impact Assessment
• Circular Economy
• +۳ مورد دیگر

Morten Birkved is a Professor at the Department of Green Technology, University of Southern Denmark, and Head of SDU Life Cycle Engineering. He leads the SDU Climate Cluster and actively contributes to research on Life Cycle Assessment (LCA) , Circular Economy , and Environmental Sustainability . His work spans cross-disciplinary collaborations in Denmark and internationally. Education: M.Sc. in Environmental Chemistry, PhD in Sustainable Development His research interests focus on integrating LCA with circular economy principles, analyzing environmental impacts of construction materials, and developing sustainable solutions for agriculture and energy systems. Recent projects include microbial protein production, green fuels in shipping, and biorefineries for organic waste valorization. Recent publications highlight 2025 advancements in: Eco-design strategies for buildings Hybrid wastewater treatment systems Carbon-storing asphalt pavements Comparative LCA of housing typologies These studies emphasize Denmark as a case study region and leverage both parametric and probabilistic modeling approaches. Scientific Awards Recipient of SCC Fast Track Prize (2025) Teaching & Supervision Supervised PhD research on circular agriculture and plastic circularity Lectured on chemical processes and environmental impacts since 2019 Labs & Projects Coordinates EU-funded initiatives like FLAVOURFERM (plant-based fermentation) and AgriLoop (circular agriculture) Develops microbial platforms for waste-to-protein conversion Advances biostimulants for sustainable agriculture

• Technology
• Digital Design
• Algorithmic Design
• +۴ مورد دیگر

Niels Martin Larsen is an Associate Professor at the Aarhus School of Architecture, affiliated with Research Laboratory 2: Technology, Building Cultures and Settlement. He holds a PhD in algorithmic design and has been part of academic staff since 2009. His roles include teaching and research in technology-driven architectural design. Education and Career: PhD student at Aarhus School of Architecture (2009–present) Master's and Bachelor's teaching assistant (2002–2008) Worked at architectural firms including Stuff Aps and 3XNielsen A/S (1999–2008) Graduated from Aarhus School of Architecture (1992–1998) with an internship at Enrique Miralles in Barcelona (1996) Research Interests: Focus on technology and digital design , including algorithmic design, architectural geometry, and sustainable materials. Recent work explores building reuse, digital fabrication, and timber structures. His projects bridge computational methods with practical architectural applications. Awards: 2012: Best Paper Award at Advances In Architectural Geometry for 'Engineering of complex geometry' Grants and Projects: Key roles in projects like 'Recycling on the Land Register' (2023–2025) and 'Material Imagination: Reconnecting with the Matter of Architecture' (2017–2021). Collaborates on Nordic networks for digital fabrication and timber innovation. Labs/Teams: Active in Research Laboratory 2, focusing on technology-driven solutions for building cultures and habitation.