Freja Stær Hincheli serves as a Lecturer at the Department of Computer Science , University of Copenhagen. Her work intersects multiple domains within machine learning, with a particular emphasis on quantum-inspired algorithms, medical imaging, and sustainable AI development. Keywords : Machine Learning, Quantum Computing, Medical Imaging, Natural Language Processing, Computational Biology Key Collaborations : SCIENCE AI Centre Her research spans quantum-enhanced neural networks, explainable AI for medical diagnostics, and energy-aware model design. Recent publications highlight applications in cross-cultural recipe adaptation, emotion-aware dialogue systems, and climate-conscious AI strategies. The Machine Learning Section at DIKU focuses on theoretical foundations and applications including medical image analysis , biological data modeling , and quantum computing , aligning with her contributions.
Thomas Martini Jørgensen is a Senior Researcher at the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His work primarily focuses on machine learning applications in telecommunication networks and industrial processes. Key Research Areas: Machine Learning, Deep Learning, Network Impairments, Fault Detection Collaborations: Active collaborations in AI for cable broadband networks and optical network diagnostics Recent research involves integrating operations research with deep learning for network topology reconstruction and applying conditional diffusion models for fault detection in optical networks. His work spans both theoretical and applied domains, with a focus on industrial applications. He supervises PhD projects including: Anomaly Detection in Cable Broadband Networks Machine Learning Applications in Field Service His publications demonstrate expertise in convolutional neural networks for flocculation analysis and geomechanical modeling of fracture networks in petroleum engineering.
Eugene Simon Polzik is a Professor of Physics at the Niels Bohr Institute, University of Copenhagen , and the founder of the Quantum Optics Center (QUANTOP) . He currently leads the Copenhagen Center for Biomedical Quantum Sensing and has held significant roles including Head of the Quantum Optics and Atomic Physics Division (2012-2021). PhD and MSc from Leningrad University Research Interests: polzik specializes in quantum physics, focusing on quantum communication , quantum sensing , and quantum information technologies . His groundbreaking work includes: Quantum teleportation between material objects Quantum memory for light Optical radio wave detection using nanomechanical oscillators Measurements beyond Heisenberg uncertainty limits Recent Publications span quantum sensing, optomechanics, and biomedical applications. Key articles include hybrid quantum networks, squeezed light generation, and advanced magnetometry techniques. Awards: Herbert Walther Award (2020) ERC Advanced Grants (2011, 2018) Villum Investigator (2019) Knight of Dannebrog (2018) Scientific American Research Leadership (2007) Grants: polzik has secured major funding including 150 MDKK Novo Nordisk Center for Biomedical Quantum Sensing (2024-2030) and 125 MDKK for QUANTOP.
Anne E. B. Nielsen serves as an Associate Professor in the Department of Physics and Astronomy at Aarhus University, Denmark, where she leads the Quantum Many-Body Systems Group. Her research program focuses on quantum many-body phenomena with particular emphasis on topological effects, non-thermal behavior, and quantum systems on non-periodic structures. The group's work is currently supported by the Novo Nordisk Foundation, reflecting the significance and impact of their research in the field of theoretical condensed matter physics. Dr. Nielsen's research interests span several interconnected themes in quantum physics. Her work on topology examines how quantum systems behave on fractal lattices and quasicrystals, demonstrating that phenomena like the fractional quantum Hall effect can occur beyond traditional two-dimensional spaces. In non-thermal physics, she investigates quantum many-body scars and many-body localization, exploring systems that violate the eigenstate thermalization hypothesis. Her group has made significant contributions to understanding anyons as probes of topological phase transitions and has developed novel approaches to constructing fractional quantum Hall models on lattice systems. Additional research explores ultracold atoms in optical lattices as experimental platforms for implementing topological models. Analysis of her recent publications reveals a strong focus on quantum scars and their phase transitions, topological phenomena in non-periodic structures, and the interplay between localization and thermalization in quantum many-body systems. Her work consistently bridges theoretical developments with potential experimental implementations, particularly through connections to ultracold atom systems and quantum computing platforms. Dr. Nielsen actively supervises researchers at multiple levels, including postdocs, PhD students, master's students, and bachelor's students. Her group maintains collaborations with researchers internationally, as evidenced by the network visualization of recent external collaborations. The group provides opportunities for students at various academic levels to engage in cutting-edge research in quantum many-body physics. The Quantum Many-Body Systems Group maintains a specialized research focus on five main areas: topology on fractal lattices and quasicrystals, nonthermal quantum systems, anyons, fractional quantum Hall models on lattices, and ultracold atoms in optical lattices. This structured approach allows for deep investigation of interconnected phenomena while maintaining clear research directions within the broader field of quantum many-body physics.
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.
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.
Edmund John Railton Kelleher is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), located in Kgs. Lyngby, Denmark. His research is centered on ultrafast infrared and terahertz science, with strong affiliations to advanced photonics and nanoscale spectroscopy. His research interests span a broad range of topics in photonics and materials science, including fiber laser physics , terahertz engineering , nonlinear optics , and ultrafast dynamics in 2D materials . He is particularly active in developing and applying terahertz nanoscopy techniques for characterizing novel materials like MoS2 nanoribbons and WTe2 semimetals. His work bridges fundamental physics and applied engineering, with applications in photonic devices and renewable energy materials. The recent publications highlight a consistent focus on terahertz spectroscopy , coherent phonon control , and nanoscale material characterization . These works demonstrate a strong interdisciplinary trend, combining ultrafast laser techniques with condensed matter physics and electrical engineering to probe dynamic processes at femtosecond to picosecond timescales. Dr. Kelleher is actively involved in research mentoring and leadership. He serves as main supervisor or co-supervisor for multiple PhD projects at DTU, particularly in areas related to terahertz spectroscopy, perovskite solar cells, and near-field imaging. These projects are externally funded and reflect a robust research program with both academic and technological implications. He is a key investigator in several advanced research initiatives, including projects on deep sub-wavelength terahertz near-field spectroscopy and ultrafast dynamics in metal halide perovskites . These efforts are conducted within collaborative teams involving experts in nanomaterials, optics, and device engineering, indicating a strong network of interdisciplinary collaboration.
Caterina Vigliar is an Assistant Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), affiliated with the High-Speed Optical Communications Centre of Excellence for Silicon Photonics for Optical Communications. Her work bridges quantum information science and integrated photonics, with a focus on developing scalable on-chip quantum technologies. Her research interests include quantum photonics , integrated quantum circuits , graph theory in quantum systems , quantum random number generation , and high-dimensional entanglement . She applies theoretical frameworks to practical photonic implementations, aiming to realize compact, efficient quantum devices. The recent publications highlight a strong trend toward very-large-scale integration of quantum photonic circuits , particularly using graph-based designs for multidimensional entanglement and quantum information processing. These works demonstrate advancements in on-chip quantum random number generators and multiphoton entanglement , contributing to the scalability of quantum technologies. Scientific Contributions: Active contributor to high-impact research in Nature Photonics and SPIE proceedings. Key collaborator in international quantum photonics projects. Supervisor of multiple PhD projects in quantum photonic computing and number generation. Advising and Grants: Dr. Vigliar supervises four active PhD projects related to quantum photonic reservoir computing, remote quantum computing, and integrated quantum number generation. These projects are supported by DTU and involve collaboration with leading researchers such as F. Da Ros, D. Bacco, and Y. Ding. While specific grant names are not listed, the funding context suggests support from national and institutional research bodies. Labs and Teams: She is part of the High-Speed Optical Communications Centre of Excellence for Silicon Photonics at DTU, a leading group in integrated photonics and quantum communications. Her work is embedded within a collaborative network involving experimental and theoretical researchers focused on advancing quantum technologies through photonic integration.
Battulga Munkhbat is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), where he conducts cutting-edge research in quantum photonics and nanomaterials. His work focuses on developing quantum light sources using two-dimensional materials, particularly transition metal dichalcogenides such as WSe₂, for applications in optical quantum information technology. His research interests lie at the intersection of quantum optics, materials science, and nanophotonics. Key areas include: Quantum emitters in 2D materials Single-photon sources for quantum communication Strain and defect engineering in monolayer and bilayer systems Integration of quantum emitters with photonic devices Nanoengineering of TMD-based photonic platforms The recent trend in his publications highlights a strong focus on high-purity single-photon emission from bilayer and monolayer WSe₂, utilizing phonon-assisted excitation and strain control. His work often involves collaboration with experts in nanofabrication and theoretical modeling, aiming to enhance the performance and scalability of quantum photonic devices for future quantum networks. He is actively supervising multiple PhD students and leading projects that bridge fundamental physics with practical quantum technologies. His research is supported by active grants in quantum photonics and nanomaterial engineering, particularly in projects related to: Quantum Dot Emitters Integrated with SiN Devices for Remote Quantum Computing Nanoengineered 2D TMDs-based Photonic Devices for Optical Quantum Information Technology Quantum Light Sources for Optical Quantum Information Processing Dr. Munkhbat is part of a vibrant research lab at DTU that specializes in quantum light source development, working closely with Prof. Niels Gregersen and other collaborators in the field of integrated quantum photonics.
Massimo De Vittorio is a Professor at the Department of Health Technology, Technical University of Denmark, specializing in optomechanical biointerfaces, drug delivery, and biomedical sensing. His research bridges physics-informed machine learning with advanced optical systems for biomedical applications. Active in developing neural network architectures for modeling turbid media Focus on energy harvesting and piezoelectric biopolymers for implantable medical devices His projects include Photoacoustic Sensors for the Brain (2025–2028), Piezoelectric Drug Delivery Devices (2025–2028), and Nature-Inspired Energy Harvesting in the Gut (2025–2027), supervising multiple PhD candidates. Current research trends emphasize digital twin technologies , machine learning interpretability , and biocompatible material design across health technology domains.
Peter Lodahl is a Professor in quantum physics and technology at the Niels Bohr Institute, University of Copenhagen, and serves as Director of the Hybrid Quantum Networks Hy-Q Center of Excellence. He leads the Quantum Photonics Group and holds the position of Deputy Section Leader of Quantum Optics at the institute. Lodahl has established himself as a leading researcher in quantum optics and quantum information processing with solid-state systems. His research focuses on developing fundamentally new quantum hardware for quantum-information science, specifically deterministic single-photon sources, spin-photon interfaces, and photonic quantum gates. His work has pioneered the demonstration that light emission can be fully controlled through intricate photonic nanostructures, enabling deterministic quantum interfaces between light and matter. His research spans quantum simulators, quantum repeaters, and quantum key distribution, all contributing to the development of a quantum internet. Lodahl's publication record shows a strong focus on quantum networks, photonic quantum technologies, and quantum information processing. His recent work demonstrates significant advances in deterministic photon sources, quantum entanglement generation, waveguide quantum electrodynamics, and practical implementations of quantum technologies. His research has shifted from fundamental demonstrations toward practical quantum applications and hardware development. EliteForsk Price (2016) ERC Advanced Grant (2015) ERC Consolidator Grant (2010) Young Researcher's Award by the Danish Research Council (2005) Lodahl has supervised 25 MSc students, 23 PhD students, and 17 postdocs since 2005. He has attracted over 200 MDKK in research funding from sources including ERC, Danish Research Council, VILLUM Foundation, Innovation Fund DK, and A.P.Møller Foundation. As Director of the Hy-Q Center of Excellence and Scientific Director for the Center of Quantum Innovation, he oversees significant research infrastructure and initiatives in quantum technology. He leads the Quantum Photonics Group at the Niels Bohr Institute and was PI for the Quantech infrastructure proposal accepted on the Danish Roadmap for Research infrastructure with a total budget of 40 MDKK. His group collaborates internationally and has developed numerous technologies including 5 patents in photonic quantum technology and a co-founded quantum-tech start-up company.
Jonas Vinther is a Research Fellow at the Department of Computer Science , University of Copenhagen, specializing in Machine Learning and its intersections with quantum computing, medical data analysis, and sustainability. He is also an external PhD student in the Quantum Information Science & Technology program at the Niels Bohr Institute. Email: jonas.vinther@nbi.ku.dk , jonas.vinther@di.ku.dk Location: Universitetsparken 1, 2100 København Ø His research spans quantum machine learning , AI ethics , medical imaging , and environmentally sustainable AI , with recent publications on topics ranging from quantum neural networks to fairness in recommender systems . He contributes to the SCIENCE AI Centre and collaborates on initiatives like TreeSense for global tree resource monitoring.
Francois Lauze is an Associate Professor at the Department of Computer Science , University of Copenhagen, affiliated with the Image Analysis, Computational Modelling and Geometry research group. His work bridges mathematical rigor and practical applications in image processing and shape analysis. Research Focus: Mathematical Image Analysis (variational/PDE methods) Differential and Riemannian geometry for shape statistics Applications: image inpainting, motion estimation, segmentation, medical imaging Contact: Email: francois@di.ku.dk Phone: +4535335671, +4521553933 Location: Universitetsparken 1, 2100 Copenhagen Ø Recent publications highlight advancements in SE(3) group CNNs for diffusion imaging, locally orderless networks for efficient processing, and refractive multi-view stereo techniques. His work integrates geometric modeling with computational implementations, emphasizing medical and video applications.
Dr. Daniel Malz is an Assistant Professor at the Department of Mathematical Sciences, University of Copenhagen. His research focuses on quantum many-body systems, quantum optics, and quantum computing, with affiliations to research groups QA, QMATH, and QfL. His work bridges theoretical physics and mathematical modeling, addressing topics like superradiance, entanglement dynamics, and quantum state preparation. Key research interests include quantum information theory, non-Markovian dynamics, and the development of efficient quantum simulation techniques. His recent publications explore advanced topics such as photonic cluster states, tensor network simulations, and cross-platform quantum network verification. Much of his work addresses foundational questions in quantum mechanics while maintaining practical relevance for quantum technologies. His contributions span both theoretical derivations and numerical methods, with a focus on bridging classical and quantum many-body dynamics.
Rune W. Berg is an Associate Professor in the Promotion Programme at the Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen. He leads the Berg Lab with research focused on Neuronal Signalling and maintains an active research profile with 66 publications to date. Dr. Berg's educational background includes a Ph.D. in Biophysics from the University of California, San Diego (2003), an M.S. in Physics from UC San Diego (2000), and Cand. Scient. and B.Sc. degrees in Biophysics from the Niels Bohr Institute at the University of Copenhagen (2000 and 1997 respectively). His research interests span Functional Neuronal Networks, Sensory and Motor processing, and Complex physics. The Berg Lab investigates neural signaling mechanisms with a strong emphasis on developing novel technologies for neural interfacing and brain research. Recent work demonstrates an interdisciplinary approach combining neuroscience, physics, and engineering to create advanced tools for neural monitoring and modulation. Analysis of Dr. Berg's recent publications reveals a strong focus on neural engineering technologies, particularly optical and electromagnetic approaches for brain research. His work bridges fundamental neuroscience with practical engineering solutions for neural interfaces, with applications in understanding brain function and developing neural prosthetics. The research spans from molecular-level interactions to circuit-level neural dynamics. Dr. Berg has participated in specialized training workshops including 'Construction of the brain' at Kristineberg Marine research station, 'Neurophysics' at the Institute of Theoretical Physics in Santa Barbara, and 'Neuron as a nonlinear oscillator' at the Salk Institute. His professional experience includes continuous work since January 2004 as a Post Doctoral member of Jorn Hounsgaard's Lab at the University of Copenhagen, following a Visiting Post Doctoral fellowship at Taipei Veterans General Hospital and National Yang-Ming University in Taiwan (September-December 2003).
