جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Natural Language Processing
• Medical Data Analysis
• +۳ مورد دیگر

Jeppe Fræhr Linderød works as a Lecturer at the Department of Computer Science , University of Copenhagen. His research aligns with the department's Machine Learning section, focusing on theoretical foundations and applications in information retrieval, medical data analysis, remote sensing, and sustainability. He is part of the interdisciplinary SCIENCE AI Centre . His recent publications span diverse subfields including: Quantum machine learning and optical computing Explainable AI and feature attribution Large language models for emotion recognition Medical informatics applications Fairness in recommender systems Green/sustainable AI practices He contributes to the department's computational infrastructure, including access to a powerful compute cluster. His work often intersects with environmental and healthcare domains, particularly through projects like the TreeSense center for remote sensing applications.

• Programming Languages
• Compiler Technology
• Reversible Computation
• +۵ مورد دیگر

Torben Ægidius Mogensen is an Associate Professor at the Department of Computer Science, University of Copenhagen, where he leads research in the Programming Languages and Theory of Computation section. His office is located at Universitetsparken 5, Copenhagen. His primary research focuses on: Automatic program analysis and transformation (especially partial evaluation and semi-inversion) Compiler technology for functional languages Domain-specific language design Reversible computing systems and languages Algorithms, complexity theory, and automata theory Applications in graphics and fractal generation His recent publications demonstrate a strong focus on reversible computation systems, including specialized programming languages like Hermes for encryption, reversible processor architectures, and functional programming extensions. His textbook publications on compiler design (2024) and programming language implementation (2022) indicate significant contributions to computer science education and foundational knowledge. He teaches courses on compilers, programming language technology, and game development, and maintains active research collaborations internationally. He is fluent in Danish and English, with working knowledge of German and Romanian.

• Machine Learning
• Natural Language Processing
• Medical Data Analysis
• +۱۰ مورد دیگر

Tobias Nordholm-Højskov is an Instructor at the Department of Computer Science , University of Copenhagen (DIKU). His research intersects machine learning with healthcare, sustainability, and quantum computing, focusing on theoretical foundations and applications in medical data analysis, climate-aware AI, and quantum systems. He is affiliated with the SCIENCE AI Centre and contributes to projects like QDarts (quantum dot array simulation) and TreeSense (remote sensing for environmental monitoring). His work spans diverse subfields, including Explainable AI for healthcare records Federated Learning in rare disease research Quantum-inspired neural networks Retrieval-Augmented Generation frameworks Environmental impact mitigation in AI

• Machine Learning
• Artificial Intelligence
• Quantum Computing
• +۵ مورد دیگر

Thor Alexander Bøje Simonsen is an Instructor at the Department of Computer Science , University of Copenhagen , focusing on interdisciplinary research at the intersection of machine learning, quantum computing, and real-world applications. He is affiliated with the SCIENCE AI Centre and contributes to projects in sustainability, medical data analysis, and quantum-enhanced algorithms. His research spans theoretical and applied domains, including: Quantum computing for biomolecular simulations Environmentally sustainable AI systems Medical data analysis and clinical decision support Image reconstruction and remote sensing Explainable AI for large language models Thor's work engages with cutting-edge challenges in machine learning, from hardware acceleration to ethical considerations in clinical contexts. He is part of the university's Machine Learning Section , which has access to a dedicated compute cluster and collaborates with initiatives like TreeSense for global tree resource monitoring.

• Quantum Theory
• Mathematical Physics
• Condensed Matter Physics
• +۳ مورد دیگر

Jan Philip Solovej is a Professor and Head of Studies at the Department of Mathematical Sciences, University of Copenhagen. His research focuses on quantum theory, mathematical physics, and the theoretical foundations of quantum many-body systems. He leads the UCPH Quantum Hub and contributes to the QMATH research group, advancing understanding in areas like Bose-Einstein condensation, fermionic systems, and quantum algorithms. His work bridges pure mathematics and physical phenomena, with recent studies exploring dilute quantum gases, atomic structure periodicity, and entropy inequalities. Education details are not explicitly provided, but his academic role implies advanced qualifications in physics or mathematics. His research interests are anchored in rigorous mathematical analysis of quantum systems, with contributions to condensed matter physics and theoretical chemistry. Recent publications highlight advancements in quantum channel analysis, Hardy inequalities for fermions, and the thermodynamic behavior of dense gases. Scientific awards are not listed, but his leadership roles and prolific publication record reflect significant contributions to the field. He advises on academic governance at the European Mathematical Society and oversees educational programs within his department. Solovej’s affiliation with the UCPH Quantum Hub fosters interdisciplinary collaboration in quantum science and technology.

Ole Sigmundمشاهده پروفایل

استاد

• Topology Optimization
• Structural Mechanics
• Nanophotonics
• +۴ مورد دیگر

Ole Sigmund is a Professor at the Technical University of Denmark within the Department of Civil and Mechanical Engineering. He is affiliated with the NanoPhoton – Center for Nanophotonics and actively involved in research related to topology optimization, structural mechanics, and nanophotonics. Accepting PhD Students ORCID: 0000-0003-0344-7249 Research Interests: His work spans structural design, inverse methods, and multiphysics systems. Key areas include metamaterials, additive manufacturing, and photonic device optimization. Recent Publications (2021-2025): Focus on topology optimization for mechanical stability, nanophotonics, and multi-physics applications. Projects: Over 80 projects, including vibroacoustic systems, nanocavity design, and thermo-mechanical regulators. Collaborates with researchers like J.P. Groen and F. Wang.

Ivan Damgårdمشاهده پروفایل

استاد

• Cryptography
• Data Security
• Quantum Information
• +۳ مورد دیگر

Ivan Damgård is a Professor at the Computer Science Department of Aarhus University. His research focuses on cryptography, data security, quantum information, and algorithms. He co-authored the book Information Theoretically Secure Multiparty Computation and Secret Sharing with Ronald Cramer and Jesper Buus Nielsen. He is head of the Cryptography Group at Aarhus University and co-founder of companies Cryptomathic and Partisia, specializing in data security and secure multiparty computation. He teaches courses such as Introductory Cryptography, Cryptologic Protocol Theory, and Quantum Information Processing. His work involves major research projects like CACE, CFEM, and ITSCI. He has contributed to debates on provable security in cryptography, including a position paper clarifying misunderstandings in the field. Outside academia, Damgård is an active folk musician, playing fiddle and guitar in multiple bands and releasing several albums.

• Computability Theory
• Rewriting
• Lambda Calculus
• +۳ مورد دیگر

Jakob Grue Simonsen is a Professor and Department Chair at the Department of Computer Science (DIKU), University of Copenhagen. He holds a Dr. Scient., PhD, and MBA. His research focuses on the mathematics of computation, including computability theory, term rewriting, lambda calculus, complexity hierarchies, and symbolic dynamics, with applications in information retrieval and human-computer interaction. His primary research explores infinite computational processes and their finite representations, alongside practical work in neural hashing, fact-checking systems, and quantum language models. Previously, he contributed to constructive mathematics and biocomputing. An analysis of his 15 most recent publications (2015–2022) reveals strong emphasis on: Theoretical computability and game-theoretic models Neural networks for NLP (BERT, semantic hashing) Fact verification and explainable AI methodologies Efficient retrieval algorithms and recommendation systems Awards: RTA 2004 Best Paper Award CHI '13 Honorable Mention CHI '14 Honorable Mention

• Quantum Information Science
• Quantum Mechanics
• Tensors
• +۱۰ مورد دیگر

Matthias Christandl is Professor in the Department of Mathematical Sciences at the University of Copenhagen, where he leads the Quantum for Life Center (funded by the Novo Nordisk Foundation) and co-PIs the QMATH center for quantum theory mathematics. He directs the UCPH Quantum Hub , a cross-departmental initiative. Previously, he was Assistant Professor at ETH Zurich (2010–2014) and University of Munich (2008–2010), and a Postdoctoral Fellow at University of Cambridge (2005–2008). He holds a PhD in Mathematics (2006) from Cambridge and a Diploma in Mathematics (2002) from ETH Zurich.

• Quantum Mathematics
• Quantum Physics
• Theoretical Physics
• +۱ مورد دیگر

Jakob Max Günther is a Postdoctoral Researcher at the Department of Mathematical Sciences , University of Copenhagen. His work is affiliated with the QA (Analysis & Quantum), QMATH (Quantum Mathematics), and QfL (Quantum for Life) sections, focusing on quantum methods in theoretical physics and chemistry. Research Interests: Quantum Mathematics Quantum Physics Theoretical Physics Quantum Chemistry Recent research trends highlight contributions to quantum embedding methods and qubit reduction in computational chemistry, aiming to enhance quantum simulations for molecular systems. Work areas include collaborations with QMATH and QfL centers, leveraging interdisciplinary approaches to solve complex problems in quantum theory and its applications.

• Mathematics
• Quantum Computing
• Algebraic Complexity Theory
• +۲ مورد دیگر

Dr. Harold Adriaan Nieuwboer is a Postdoctoral Fellow at the Department of Mathematical Sciences , University of Copenhagen , specializing in mathematics and quantum computing research. His work intersects theoretical computer science and algebraic complexity through tensor analysis and quantum algorithms. Email: hani@math.ku.dk Location: University Park 5, 2100 Copenhagen Ø Recent research focuses on: Tensor Rank: Investigating asymptotic properties and polynomial characterizations Quantum Information: Developing subroutines for marked element search and numerical summation Algebraic Complexity: Applying moment polytopes to computational problems Publications from 2024-2025 demonstrate his contributions to quantum computing and mathematical complexity, with multiple conference papers at STOC 2025 and a journal article in Quantum (2024).

Nahid Binandeh Dehaghaniمشاهده پروفایل

پژوهشگر ارشد

• Quantum Optimal Control
• Quantum Entanglement
• Physics-Informed Neural Networks
• +۳ مورد دیگر

Nahid Binandeh Dehaghani is a Postdoctoral Researcher at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. Her work focuses on quantum control systems and optimal control theory for quantum applications. Her research interests span Quantum Optimal Control , Quantum Entanglement , and Physics-Informed Neural Networks , with significant contributions to Pontryagin's Maximum Principle applications in quantum systems. Key research areas include quantum state engineering, entanglement synthesis, and coherence preservation in multi-level quantum systems. Analysis of her recent publications (2024-2025) reveals a strong trend toward hybrid quantum-classical computing approaches, particularly using physics-informed neural networks for solving quantum optimal control problems. Her work bridges theoretical control theory with practical quantum computing implementations, focusing on entanglement optimization and state preservation. She actively collaborates with researchers including Aguiar and Wisniewski, contributing to advancements in quantum information processing and quantum control methodologies.

Antonio Ragoمشاهده پروفایل

مدرس

• Computational Science
• Lattice Gauge Theory
• Quantum Chromodynamics
• +۵ مورد دیگر

Antonio Rago is a Lecturer in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he contributes to computational science with a focus on lattice field theories and high-performance computing. His research bridges theoretical physics and advanced computational techniques. Research Interests: His work centers on lattice gauge theory , particularly SU(2) and QCD simulations using Wilson fermions. He specializes in GPU-accelerated algorithms and the HiRep framework for scaling simulations across thousands of GPUs. His interests also extend to fermion formulations, chiral symmetry, and numerical stability in lattice field theories. The recent publications show a strong trend toward scalable computational methods in fundamental physics, emphasizing GPU parallelism, algorithmic efficiency, and non-perturbative quantum field theory. His media contributions reflect growing engagement with science policy, particularly advocating for national AI and supercomputing infrastructure. Scientific Contributions: Active in advancing lattice QCD with novel fermion discretizations. Core developer in HiRep for distributed GPU simulations. Advocate for national investment in academic AI computing. Advising and Grants: While no formal students are listed, his research output suggests mentoring within collaborative projects. He participates in large-scale computational initiatives, likely supported by Danish or EU research grants, though specific funding sources are not disclosed in the text. Labs and Teams: Works within a computational physics group at SDU, collaborating with researchers across Europe on lattice field theory projects. His team leverages GPU clusters for large-scale simulations, focusing on algorithmic scalability and physical observables in gauge theories.

• Theoretical Computer Science
• Algorithms
• Computational Complexity
• +۴ مورد دیگر

Nutan Limaye is a Professor at the Department of Theoretical Computer Science , IT University of Copenhagen , specializing in Algorithms , Computational Complexity , and Algebraic Circuits . She actively contributes to research on polynomial complexity, quantum computation, and lower bound techniques. Key Research Areas : Algebraic Circuit Complexity, Polynomial Computation, Graph Isomorphism, Boolean Satisfiability Current Projects : FLows : Formula complexity and lower bounds (2024-2026) DIREC: OnlineAlgo : Digital research initiatives (2022-2025) BARC2 : Basic Algorithms Research Copenhagen (2024-2029) Scientific Recognition includes the FOCS Best Paper Award (2022) . Her work frequently appears in top conferences like CCC , FSTTCS , and SIGACT News , with recent collaborations in Denmark and international institutions. She contributes to public understanding through media appearances on topics like basic computer science research and BARC's initiatives .

• Quantum Chemistry
• Computational Chemistry
• Theoretical Chemistry
• +۲ مورد دیگر

Andreas Erbs Hillers-Bendtsen serves as a Researcher (Postdoc) in the Department of Chemistry at the University of Copenhagen, where he conducts advanced computational research in quantum chemical methodologies and materials design. His work bridges theoretical frameworks with practical applications in energy and atmospheric science. His research spans Quantum Chemistry, Computational Chemistry, and Materials Science, with specialized focus on cluster perturbation theory for excited states, isotopic fractionation dynamics, and molecular systems for solar energy storage. Recent work demonstrates expertise in developing scalable quantum chemistry algorithms and applying them to photochemical processes and novel carbon-based materials. Analysis of his 51 research outputs reveals a strong trajectory in methodological innovation, particularly in extending cluster perturbation theory frameworks and implementing parallel computing solutions. His publications show increasing interdisciplinary reach, connecting quantum chemistry with atmospheric science and renewable energy materials, evidenced by publications in high-impact journals including Science Advances and Journal of Chemical Physics . Dr. Hillers-Bendtsen maintains active collaborations with leading researchers including Kurt V. Mikkelsen, Mads B. Johansen, and Trygve Helgaker, with co-authorship spanning theoretical developments, experimental validation, and materials synthesis projects. His work has attracted attention across academic platforms including Mendeley and social media, indicating growing influence in computational chemistry circles.