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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.

• Algorithms
• Data Structures
• String Processing
• +9 more

Peter Behrensdorff Poulsen serves as Solar Photovoltaic Systems Group Leader at the Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU). His work spans photovoltaic research, solar-powered lighting systems, and drone-based inspection technologies within DTU's College of Engineering. His research focuses on Solar Cell Engineering , Photovoltaic Modules , and Drone Applications for renewable energy systems. Key areas include bifacial photovoltaics, electroluminescence imaging diagnostics, building-integrated photovoltaics, and ultra-efficient solar-powered lighting solutions. His work significantly contributes to UN Sustainable Development Goals related to affordable clean energy and sustainable cities. Recent publications reveal strong trends in AI-driven PV diagnostics , bifacial module performance in northern climates, and dark-sky compatible lighting systems . His research bridges fundamental photovoltaic science with practical applications in urban infrastructure and environmental sustainability. Best Poster Award at 44th IEEE Photovoltaic Specialists Conference Best Poster Award at 48th IEEE Photovoltaic Specialists Conference Characterizing the Performance of Daylight Filters for Electroluminescence Imaging Poster Award at 35th European Photovoltaic Solar Energy Conference Poster Prize at Sustain 2017 Poulsen leads multiple research grants including the Ultra-efficient Dark Sky-compatible Solar-powered Outdoor Lighting project (2024-2026) and previously managed the DronEL project (2017-2019) for drone-based PV inspection. His work connects photovoltaic engineering with practical lighting applications through the Lighting Color and Radiation Laboratory. He actively collaborates with industry partners on building-integrated photovoltaics and solar-powered infrastructure solutions, with notable projects including the Plateau Sun Hub public charging stations and Black Si BIPV panel development.

• Solar Cell Engineering
• Photovoltaics
• Drone Engineering
• +5 more

Teresa Anna Steiner serves as an Assistant Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark, specializing in algorithmic research with emphasis on privacy-preserving computational methods and theoretical computer science. Her research centers on differential privacy mechanisms, where she investigates trade-offs between data utility and privacy guarantees through rigorous analysis of noise injection techniques like Laplace and Gaussian distributions. She extends this work to dynamic graph databases requiring real-time privacy protections and develops novel text indexing approaches for regular expression pattern matching, contributing to foundational advancements in algorithm design for sensitive data environments. Recent 2025 publications reveal a cohesive research trajectory focused on practical implementations of differential privacy across diverse data structures, with particular attention to variance optimization in noise mechanisms, edge-level privacy in evolving graphs, and efficient indexing for textual pattern recognition. These works collectively address critical challenges in balancing computational efficiency with robust privacy guarantees in modern data systems. No scientific awards were documented in the available information. Details regarding student advising or research grant funding were not specified in the provided materials.

• Differential Privacy
• Algorithms
• Theoretical Computer Science
• +3 more

Danny Bøgsted Poulsen is an Associate Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on formal methods, model checking, and cyber-physical systems with applications in security analysis and programming languages. He contributes to projects like BEO-COVID (2020–2020) and IDEA4CPS (2011–2015), which explore decision support tools and foundational cyber-physical systems. His academic background includes advanced work in formal verification and statistical model checking. Key research interests include: Formal methods for string constraints and SMT solvers Statistical analysis of security-critical systems Modelling protocols like DTLS and attack-defense scenarios Applications of formal methods in education and public health Recent work highlights include developing SMTQuery for benchmark analysis, statistical evaluation of bit-flip vulnerabilities, and leveraging large language models for educational feedback. His research outputs span over 36 publications across journals and conferences, with active contributions to UPPAAL tool development and open datasets for reproducibility. Poulsen collaborates internationally on projects involving formal verification of embedded systems and cybersecurity protocols. His work bridges theoretical computer science with practical applications in safety-critical systems.

• Formal Methods
• Model Checking
• Cyber-Physical Systems
• +3 more

Razvan Paisa is an Assistant Lecturer at Aalborg University's Department of Architecture, Design and Media Technology, associated with the Multisensory Experience Laboratory. His research focuses on vibrotactile augmentation for hearing-impaired users, assistive technologies, and immersive virtual reality applications. He leads the project 'Vibrotactile augmentation of music for cochlear implant users' and collaborates on the Nordic Sound and Music Computing Network. PhD in 2024: 'The Musical Touch: Exploring Vibrotactile Augmentation of Music for Cochlear Implant Users' His work integrates multisensory design, haptic feedback systems, and music technology to enhance accessibility. Key research areas include cochlear implant user experiences, tactile feedback algorithms, and collaborative virtual reality rehabilitation tools. Recent publications explore tactile-auditory integration for music perception and real-time cochlear implant simulators. His projects emphasize user-centered design for healthcare and cultural participation. Grants: PI of a 2021-2024 research project Labs: Multisensory Experience Laboratory

• Vibrotactile Augmentation
• Assistive Technologies
• Virtual Reality
• +3 more

Jean-Baptiste Sylvain Béguin is an Assistant Professor in the Quantum Optics and Photonics group at the Niels Bohr Institute, University of Copenhagen. His research focuses on experimental quantum optics with particular emphasis on light-matter interactions at the quantum level, especially using one-dimensional atomic systems. Dr. Béguin completed his PhD at the Niels Bohr Institute in 2015 with his thesis "A One-Dimensional Quantum Interface between a Few Atoms and Weak Light." His academic career demonstrates specialized expertise in quantum interfaces, atomic physics, and quantum measurement techniques. His primary research interests include quantum spin phenomena, coherent light scattering, quantum noise characterization, and optical trapping techniques. Dr. Béguin investigates how quantum correlations manifest in light-atom systems, with applications in quantum communication and quantum information processing. He specializes in creating and manipulating quantum states using precisely controlled atomic ensembles in one-dimensional geometries. Analysis of his publication record reveals a clear research trajectory from fundamental quantum phenomena (2014-2016) to increasingly complex systems involving optomechanical interactions and nanoscale optical trapping (2017-2020). A consistent theme across his work is the use of one-dimensional geometries for enhanced light-matter coupling, enabling novel quantum control and measurement capabilities. His publications demonstrate strong technical expertise in both experimental implementation and theoretical understanding of quantum optical phenomena. Dr. Béguin has published in prestigious journals including Physical Review Letters (124 citations for his 2016 paper), Physical Review X, Optics Letters, Applied Physics B, and Proceedings of the National Academy of Sciences. His work has been cited over 300 times collectively, with significant social media engagement and mentions in news outlets. As part of the Quantum Optics section at the Niels Bohr Institute, Dr. Béguin likely participates in teaching activities and mentors graduate students in experimental quantum optics. His research program contributes to the broader quantum technology initiatives at one of the world's leading physics institutions, collaborating with researchers like Eugene S. Polzik and Jürgen H. Müller. The Quantum Optics and Photonics group where Dr. Béguin works is embedded within the Niels Bohr Institute's research ecosystem that includes Astrophysics and Planetary Research, Biocomplexity and Biophysics, and the Cosmic Dawn Center. This environment provides access to state-of-the-art facilities for quantum optics experiments and opportunities for interdisciplinary collaboration.

• Quantum Optics
• Quantum Information
• Atomic Physics
• +4 more

Inge Li Gørtz is a Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where she leads research in algorithms and data structures. She is affiliated with the Algorithms, Logic and Graphs section and has been a principal investigator on externally funded research projects. She also serves as chairman of the Danish Society for Computer Science since 2009. Research Interests: Her work centers on the design and analysis of algorithms, with a focus on approximation algorithms, pattern matching, graph algorithms, and compressed data representations. She investigates efficient query processing, string indexing, and algorithmic challenges in highly repetitive data, including applications in bioinformatics and data streams. The recent publications highlight a strong trend in theoretical and practical algorithm design, particularly in string indexing, compressed automata, and dynamic data structures. These works span venues like SOFSEM and STACS, emphasizing innovations in sublinear query time, sliding window models, and memory-efficient representations. Postdoc stipend from Carlsberg Foundation (2006–2008) for 'Approximation of Transportation on Demand Problems', kr 865,183 Advising and Grants: She actively supervises multiple PhD students on projects such as biomedical image segmentation using graph cuts, hierarchical compression of DNA data, and dynamic graph algorithms. She has served as main or co-supervisor in several funded PhD projects. She has been principal investigator on a Carlsberg Foundation grant and has participated in multiple Danish Council for Independent Research projects. Labs and Teams: She is a core member of the Algorithms, Logic and Graphs (ALG) section at DTU, contributing to a vibrant research environment focused on theoretical computer science and algorithmic problem solving.

• Algorithms
• Data Structures
• Design and Analysis of Algorithms
• +7 more

Troels Harmark is an Associate Professor at the Niels Bohr Institute, University of Copenhagen, specializing in theoretical high-energy physics and gravitational physics. He leads the 'Theoretical Particle-Physics and Cosmology' section and teaches 'General Relativity and Cosmology' and 'Introduction to String Theory.' Research Interests: Spin Matrix theory (quantum mechanical models for emergent gravity), AdS/CFT correspondence, non-relativistic geometry, finite-temperature gauge/string theory, black hole magnetospheres, and astrophysical jets. Recent Articles (2025): Focused on non-relativistic string theory, gravitational solitons, and gravitational wave detection collaborations. Collaborations: Active in LIGO-Virgo-KAGRA and Virgo collaborations, contributing to gravitational wave astronomy and detector characterization.

• Theoretical High-Energy Physics
• Gravitational Physics
• String Theory
• +6 more

Maarten van de Meent is an Associate Professor at the Niels Bohr Institute, University of Copenhagen, specializing in Theoretical High Energy, Astroparticle, and Gravitational Physics. His research focuses on gravitational wave astronomy, black hole dynamics, and waveform modeling for compact binary systems. Recent collaborative studies (2023–2025) highlight his work on Extreme Mass Ratio Inspirals (EMRIs) , Effective One-Body Formalism , Kerr Spacetime Perturbations , and Spin-Orbit Precession . His publications emphasize gravitational self-force calculations , orbital resonance treatments , and LISA/Einstein Telescope waveform models . Key collaborations include researchers like Alessandra Buonanno (Max Planck Institute), Niall Warburton (University College Dublin), and Guillaume Faggioli (University of Bern). His work addresses Gravitational wave detection Post-Newtonian theory Numerical relativity Space-based observatories

• Gravitational Physics
• Theoretical Physics
• Astrophysics
• +7 more

Rolf Fagerberg is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU). His research centers on algorithms, data structures, and their applications in computational biology and cheminformatics. His research interests include: Algorithms and data structures, particularly dynamic and geometric data structures Graph theory with emphasis on subgraphs, Yao graphs, and hypergraphs Algorithmic cheminformatics and modeling of chemical reaction networks Computational biology, including metabolic pathway analysis Theoretical computer science and discrete mathematics Recent publications highlight a strong trend toward interdisciplinary research combining computer science with chemistry and biology, particularly in modeling chemical reaction networks using hypergraphs and mixed-integer linear programming. His work also includes algorithmic solutions for palindromic subsequence problems and efficient extraction of reaction rules from large databases, reflecting a blend of theoretical and applied algorithm design. Rolf Fagerberg has served as senior coordinator on multiple research projects, including 'Algorithmic Cheminformatics' and 'Fundamental Data Structures', funded by the Danish Ministry of Higher Education and Research. He has also contributed to peer review and editorial work for major conferences such as the ACM Symposium on Parallelism in Algorithms and Architectures and the International Symposium on Experimental Algorithms. He has supervised PhD students and is actively involved in academic service, including membership in assessment committees at Aarhus University and IT University of Copenhagen. His research has received media attention, including coverage of a 'mathematical breakthrough' and applications in understanding intestinal systems in obesity.

• Algorithms
• Data Structures
• Computational Biology
• +7 more

Gerth Stølting Brodal is a Professor in the Department of Computer Science at Aarhus University, Denmark, holding this position since January 2016. Previously, he served as an Associate Professor (tenured) at the same department from 2004 to 2015. His career includes a PostDoc at the Max-Planck-Institute for Computer Science in Saarbrücken, Germany (1997-1998) and long-term affiliations with research centers BRICS (1998-2005) and MADALGO (2007-2017). Education: PhD in Computer Science, Aarhus University (1997). Thesis: "Worst Case Efficient Data Structures". Research Focus: Brodal specializes in the design and analysis of algorithms and data structures. His work spans fundamental data structures (dictionaries, priority queues, persistent structures), computational geometry, graph/string algorithms, I/O-efficient and cache-oblivious methods, algorithm engineering, and computational biology. He is renowned for worst-case efficient solutions and external memory algorithm contributions, with a fingerprint emphasizing data structures (100%), worst-case analysis (42%), and I/O efficiency (27%). Recent Publication Trends: His 2024-2025 output reveals sustained innovation in advanced data structures—dynamic convex hulls, binary search trees with finger search capabilities, strict Fibonacci heaps, and cache-oblivious selection algorithms—demonstrating theoretical rigor with practical engineering applications in massive data processing. Academic Leadership: Brodal has supervised PhD students (evidenced by one thesis in his output) and contributed to major collaborative initiatives. His 141 research outputs include journal articles, conference papers, and book chapters, reflecting deep engagement with algorithmic theory and its real-world implementations.

• Algorithms
• Data Structures
• Computational Geometry
• +6 more