جستجوی استاد راهنمای دانشگاهی

Anders Krogh is a Professor at the Department of Computer Science, University of Copenhagen, and also holds a position at the Department of Public Health in the Section for Health Data Science and AI. He serves as the head of the Center for Health Data Science (HeaDS) in the Faculty of Health and Medical Sciences. Previously, he was affiliated with the Department of Biology at the University of Copenhagen until 2020. Dr. Krogh earned his PhD in theoretical physics but transitioned into machine learning and bioinformatics during his doctoral studies. His research spans both theoretical foundations and practical applications in these fields. He is particularly renowned for his pioneering work on hidden Markov models for biological sequences, which has had significant impact in computational biology. In recent years, Krogh's research has focused on deep generative models applied to gene expression data and other biomedical applications. His work bridges computer science with healthcare, developing AI-driven approaches for precision medicine, cancer diagnostics, and analysis of complex biological systems. His current research integrates machine learning with quantum computing applications in biomolecular modeling. Analysis of his recent publications reveals a strong trend toward applying artificial intelligence to healthcare challenges, particularly in rare diseases, cancer diagnostics, and personalized medicine. His work increasingly incorporates federated learning approaches to address privacy concerns while enabling collaborative research across institutions. There's also a growing emphasis on quantum computing applications in biomolecular modeling and drug discovery. As head of the Center for Health Data Science, Krogh leads interdisciplinary research efforts that bring together computer scientists, medical researchers, and clinicians. His team develops novel computational frameworks like MOSAIC for multimodal analysis of rare cancers and multiDGD for multi-omics data integration. These tools are designed to translate AI innovations into clinical practice while addressing the unique challenges of medical data.

• Machine Learning
• Bioinformatics
• Deep Generative Models
• +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.

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

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

Ole Winther is a Professor at the Department of Biology, University of Copenhagen, specializing in Computational and RNA Biology. He also holds a joint appointment as Professor at DTU Compute, Technical University of Denmark. His research bridges machine learning, bioinformatics, and natural language processing with applications in biological sequence analysis, transcriptomics, and health informatics. Education: 1998: PhD in Physics, University of Copenhagen 1994: Master of Science in Physics, University of Copenhagen Winther's research focuses on developing advanced machine learning methodologies for biological applications. He has pioneered protein language models for sequence analysis (DeepLoc, SignalP, DeepTMHMM), interpretable deep learning for RNA subcellular localization, and benchmarking frameworks for DNA language models. His work spans latent variable models, variational inference, diffusion models, and novel architectures for deep generative modeling, with increasing emphasis on practical healthcare applications including rare disease diagnosis through findzebra.com and medical question answering with large language models. Scientific Recognition: ELLIS Fellow (2021) Head of ELLIS Copenhagen Unit H-index of 61 (Google Scholar, May 2023) 19,700+ citations (Google Scholar, May 2023) Winther has supervised 25+ PhD students to completion with 7 currently in progress, along with over 100 master's projects. He frequently serves as PhD opponent and committee chairman across European institutions. His research is supported by substantial funding including multiple Novo Nordisk Foundation grants totaling over 60 million DKK for the Center for Basic Machine Learning Research in Life Science and CAZAI projects, plus significant funding from the Danish Independent Research Fund. He leads an active research group developing cutting-edge machine learning approaches for bioinformatics and NLP challenges. Winther co-founded two spin-out companies: findzebra.com (2014, 2018), a search engine for rare diseases, and raffle.ai, an NLP startup for enterprise search. He initiated DTU's popular BSc in AI and Data program and teaches the highly enrolled MSc course in Deep Learning (450+ students) and PhD course in Bayesian Data Analysis.

• Machine learning methods development
• Bioinformatics
• Biological sequence analysis
• +۸ مورد دیگر

N. Asger Mortensen is a Professor and D-IAS Chair at the Danish Institute for Advanced Study , University of Southern Denmark. He serves as Scientific Director of the DNRF Center of Excellence POLIMA , focusing on polariton-driven light-matter interactions. His career spans leadership roles at SDU and DTU, including VILLUM Investigator grants. Education : Dr. scient. (2021) University of Copenhagen; Dr. techn. (2006), PhD (2001), MSc (1998) from Technical University of Denmark. Research Interests : Quantum plasmonics, nanophotonics, metamaterials, optofluidics, and light-matter interactions in structured materials. His work bridges classical electrodynamics and quantum physics, emphasizing nonlocal effects and polaritonic phenomena. Recent Articles : Explore nonlocality in photonic materials, plasmonic systems in 2D materials, and polariton dynamics. Keywords include Nanophotonics , Quantum Optics , and Condensed Matter , with subfields like Surface Plasmons , Exciton Polaritons , and Topological Insulators . Scientific Awards : Fyens Stiftstidendes Forskerpris (2023) Elected Member, Royal Danish Academy of Sciences and Letters (2022) VILLUM Investigator (2017) European Optics Prize (2008, 2004) Grants : Leads DNRF CoE (2023-2029, ~60 MDKK) and VILLUM Investigator (2017-2023, ~40 MDKK). Co-applicant on numerous international collaborations. Editorial Roles : Associate Editor for Science Advances and Nanophotonics , with past roles at Optics Express and Journal of Physics: Condensed Matter .

• Nanophotonics
• Quantum Optics
• Condensed Matter Physics
• +۵ مورد دیگر

Raghavendra Selvan, an Assistant Professor (Tenure Track) at the University of Copenhagen, holds joint appointments in the Machine Learning Section (Department of Computer Science), Kiehn Lab (Department of Neuroscience), and the Data Science Laboratory. His academic journey includes a PhD in Medical Image Analysis (2018), MSc in Communication Engineering (2015), and BSc in Electronics and Communication Engineering (2009). PhD - Medical Image Analysis, University of Copenhagen (2018) MSc - Communication Engineering, Chalmers University (2015) BSc - Electronics and Communication Engineering, BMS Institute of Technology, India (2009) His research focuses on Bayesian Machine Learning with emphasis on Medical Image Analysis, Graph-based Learning, Tensor Networks, Approximate Inference, and Multi-Object Tracking Theory. Recent publications highlight his contributions to environmentally sustainable AI practices, efficient deep learning in medical imaging, and novel applications of tensor networks. Key research areas: Green AI and Environmental Sustainability Medical Image Analysis Graph Neural Networks Crystal Structure Prediction Model Compression Materials Science Applications

• Bayesian Machine Learning
• Medical Image Analysis
• Graph-based Learning
• +۳ مورد دیگر

Rasmus Bjørk is a Professor at the Technical University of Denmark (DTU) in the Department of Energy Conversion and Storage. His research focuses on advanced materials for energy systems, particularly in magnetocaloric and elastocaloric cooling, magnetic materials, and additive manufacturing for functional devices. His work contributes to the UN Sustainable Development Goals, especially in affordable and clean energy. PhD Supervision: Active projects include energy storage using topological spin textures, magnetothermal waste heat harvesting, and bio-magnetometers. Key Research Areas: Magnetic refrigeration, energy harvesting, and freeze-casting of functional materials. Recent advancements include 3D-printed elastocaloric coolers and studies on magnetoresistive devices. His team develops novel techniques for optimizing magnetic systems and energy conversion processes. He has published over 160 articles and led projects on regenerator design, magnetic bearings, and sensor technologies. Collaborations span multiple countries and disciplines. Notable contributions include pioneering work on freeze-casting for biomaterials and the MagTense micromagnetic framework. His research bridges theoretical modeling and practical applications in sustainable energy solutions.

• Energy Conversion
• Materials Science
• Magnetocaloric and Elastocaloric Cooling
• +۴ مورد دیگر

Thomas Miller is an Associate Professor in the Department of Cellular and Molecular Medicine at the University of Copenhagen, working within the Molecular Aging Program. His research focuses on understanding the molecular mechanisms that maintain eukaryotic genome stability during DNA replication using genetic, biochemical, cellular, and structural techniques, including cryo-EM. Dr. Miller's primary research interests include: Molecular mechanisms of faithful genome replication How failures in genome stability maintenance cause developmental disorders and age-related diseases The role of replisomes and accessory factors in regulating chromosome replication His current research projects specifically investigate: The mechanisms and regulation of MCM helicase loading Replication-coupled DNA-protein crosslink (DPC) repair Accessory helicases in DNA replication Electron microscopy methods development through 'Reconstitution in silico' (RECONSIL) Dr. Miller's publication record demonstrates expertise across structural biology, molecular mechanisms of DNA replication, and cryo-EM techniques. His recent work spans from fundamental studies of replisome structure and function to developing new methodologies for studying DNA replication processes. His research has significant implications for understanding developmental disorders and age-related diseases including neurodegeneration and cancer. Dr. Miller is the founder of TCRM Consulting, indicating industry engagement alongside his academic work.

• Molecular Biology
• Genome Stability
• DNA Replication
• +۵ مورد دیگر

Francis Berthias is an academic staff member in the Department of Biochemistry and Molecular Biology at the University of Southern Denmark , specializing in Biomedical Mass Spectrometry and Systems Biology . His research focuses on advanced mass spectrometry techniques and structural analysis of biomolecules. Research Interests: Mass Spectrometry, Ion Mobility Spectrometry, Proteomics, Structural Biology, Biochemistry, and Analytical Chemistry. His recent publications (2022–2025) emphasize ion mobility separations , proteoform sequencing , and enzyme specificity . Collaborations span Denmark, Germany, and international institutions, with a focus on N-methylhistidine modifications , therapeutic antibodies , and peptide epimer analysis . Keywords: Biochemistry, Mass Spectrometry, Proteomics, Structural Biology, Analytical Chemistry, Molecular Biology.

• Mass Spectrometry
• Ion Mobility Spectrometry
• Proteomics
• +۹ مورد دیگر

Joe Alexandersen is an Associate Professor in the Department of Mechanical Engineering at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering. His research spans structural optimization, heat transfer, fluid dynamics, and high-performance computing, with applications in heat sink design, microfluidic devices, and additive manufacturing. Research Interests Topology and shape optimization Conjugate heat transfer Navier-Stokes flow modeling Finite element methods High-performance computing Scientific Awards 2022 Fluids 2020 Best Paper Award 2017 DTU Young Researcher Award 2015 ISSMO/Springer Prize for Young Scientist Key Projects HiHeaT: Topology optimization for high heat flux components (2024–2027) Structural Analysis of Large Modular Vessels (2025–2027)

• Computational Mechanics
• Topology Optimization
• Fluid Dynamics
• +۵ مورد دیگر

Anders Henry Nielsen is a Senior Scientist in the Department of Physics at the Technical University of Denmark (DTU), specializing in Plasma Physics and Fusion Energy. He is based at DTU’s Fysikvej campus in Kgs. Lyngby, Denmark, and maintains an active research profile with over 350 publications. His work is central to advancing understanding in magnetic confinement fusion, particularly through computational modeling and experimental collaboration with major tokamak facilities worldwide. His research interests lie at the intersection of plasma turbulence, edge physics, and fusion energy. He investigates phenomena such as zonal flows, coherent structures, and transport scaling in tokamak plasmas. His work often involves developing and applying advanced numerical models, including coupling Monte Carlo methods with 2D fluid models like HESEL, to simulate neutral particle behavior and turbulence in the plasma edge. He has contributed to major experimental campaigns on devices such as TCV, ASDEX Upgrade, and EAST, focusing on heating, fueling, and stability. His recent publications highlight trends in computational plasma physics, parametric instabilities, and cross-field transport. These works span disciplines including plasma turbulence, magnetic confinement, and fusion reactor engineering, with subfields like Monte Carlo simulations, electron cyclotron resonance heating, and synthetic diagnostics. His research consistently addresses key challenges for ITER and DEMO, such as power threshold scaling and heat flux management. Anders Henry Nielsen has supervised multiple PhD students, including R. Gerru Miguelañez, G. Avdeeva, J. M. B. Olsen, and J. Madsen, on projects related to zonal flow dynamics, neutral injection, and turbulence modeling. He has received research funding from various sources, including national and international fusion programs, and has been involved in projects funded by research councils and institutional grants. He is affiliated with the Plasma Physics and Fusion Energy section at DTU, where he collaborates closely with leading researchers such as V. Naulin, J. J. Rasmussen, and S. Kragh Nielsen. His team contributes to both theoretical and experimental aspects of fusion science, participating in international collaborations and presenting findings at major conferences. He has organized academic events, such as the Ninth Sino-Danish Autumn School on Fusion Plasma Physics and Technology.

• Plasma Physics
• Fusion Energy
• Tokamak Devices
• +۷ مورد دیگر

Professor Peter Højrup is affiliated with the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, focusing on protein structure and function through advanced biochemical techniques such as mass spectrometry and chemical cross-linking. His research spans biomedical mass spectrometry, systems biology, and proteomics, with a particular emphasis on endoplasmic reticulum proteins like calreticulin and calnexin. Education: PhD in Molecular Biology (1986, Odense University), MSc in Molecular Biology (major) and Chemistry (minor) (1982, University of Aarhus) His research interests include: Developing methods for determining protein 3D structures and interactions via chemical cross-linking and mass spectrometry. Fast glycosylation analysis of immunoglobulins and cancer markers. De novo proteomics of fish mucus proteins. The articles highlight trends in mass spectrometry applications, structural biology, and glycosylation studies, with recent work on SARS-CoV-2 epitope mapping, therapeutic antibody characterization, and host cell protein quantitation. Supervision includes training postdocs, PhD, MSc, and BSc students, though specific student names are not provided.

• Protein Structure and Function
• Mass Spectrometry
• Biochemical Methods Development
• +۳ مورد دیگر

Amir Babaki is an Assistant Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark. His research focuses on power electronics, wireless power transfer, and high-efficiency converter design for electric vehicle applications. University: University of Southern Denmark School: Institute of Mechanical and Electrical Engineering Rank: Assistant Professor Email: amirbabaki@sdu.dk Research Interests Babaki's work centers on power electronics, specifically front-end converters, wireless power transfer (WPT), and high-frequency resonant converters. His research explores efficiency optimization in dynamic WPT systems for electric vehicles (EVs), including control strategies for power factor correction and voltage regulation. He also investigates integrated magnetic structures for misalignment tolerance and develops predictive control methods without communication or model dependencies. Research Projects He contributes to projects like HiCoMMID (2021-2024) on motor integrated drives and HPC (2024-2027) for ultra-high efficiency DC-DC converters in high-power charging. These projects intersect with automotive engineering, energy efficiency, and converter design optimization. Teaching Babaki supervises Master's theses and teaches courses in power electronics and electrical engineering, including PE2 and ELTR3 modules related to converter technologies and wireless power systems.

• Power Electronics
• Front end converter design
• Wireless Power Transfer
• +۷ مورد دیگر

Peyman Afzali Gorouh is a Postdoctoral Researcher in the Applied Power Electronic Systems group within the Faculty of Engineering and Science at Aalborg University, Denmark. His research focuses on developing innovative models for energy communities, smart grids, and renewable energy integration. Dr. Afzali's research interests span power engineering, smart grid technologies, renewable energy systems, and energy communities. His work particularly emphasizes prosumer economics, peer-to-peer energy trading, risk modeling in power systems, and energy democracy frameworks. He has developed novel approaches for optimizing energy communities while considering socio-economic-environmental factors, demand response, and uncertainty management. His recent publications (2020-2024) demonstrate a consistent focus on energy community modeling, with particular emphasis on peer-to-peer trading mechanisms, risk-constrained optimization, and multi-objective planning. His work bridges technical power system challenges with socio-economic considerations, creating integrated models that address both engineering and human aspects of modern energy systems. Dr. Afzali maintains an active research profile with numerous publications in high-impact journals including IEEE Transactions on Engineering Management, Energy and Buildings, Applied Sciences, and Sustainable Cities and Society. His research shows strong international collaboration, particularly with researchers from Iranian institutions.

• Power Engineering
• Smart Grids
• Renewable Energy Systems
• +۵ مورد دیگر

Horst-Gunter Rubahn serves as Head of Department and Professor at the Mads Clausen Institute (MCI) within the University of Southern Denmark, and also leads the SDU Climate Cluster. With an extensive publication record of 480 publications, his academic career demonstrates significant leadership and research impact in materials science and nanotechnology. Dr. Rubahn's research focuses on construction of organic nanostructures , with particular expertise in nanofibers, organic solar cells, nanostructures, surface plasmonics, and thin films. His work spans multiple disciplines including materials science, environmental monitoring, energy storage, and sensor technology. The fingerprint analysis of his research shows strong connections across 12 similar research profiles with significant contributions to nanofiber materials science (100%), organic solar cells (60%), nanostructure materials (48%), and surface plasmonics (48%). His recent publications demonstrate trends toward practical applications of nanotechnology in environmental monitoring (nanoplastic detection), energy storage (eutectic salt hydrate composites), and food safety (electronic nose technology for poultry freshness). These works show increasing interdisciplinary collaboration across materials science, environmental science, and engineering disciplines. Villum Grant - Villum Experiment (2022) for research on perovskite solar cells and metal oxide interfaces Dr. Rubahn has supervised PhD students (2 listed in records) and leads multiple significant research projects totaling six active and completed initiatives. His current projects include NANOCHEM (Ultrahigh resolution chemical characterisation, 2022-2028), Motorvej For Materialeviden (2024-2027), and Perovskite solar cell stabilization research (2023-2025). His work has attracted substantial funding from both public and private sources, with research grants spanning energy storage, environmental monitoring, and advanced materials development. He leads research teams working on nanoscale materials characterization, with particular focus on the Mads Clausen Institute's facilities. His research groups collaborate extensively across international boundaries, with visible network connections across multiple countries as shown in his collaboration map. The teams focus on developing advanced materials for energy applications, environmental monitoring solutions, and novel sensing technologies with practical industrial applications.

• Nanofiber Materials Science
• Organic Solar Cells
• Nanostructure Materials
• +۷ مورد دیگر