جست‌وجوی استاد و پژوهشگر

• Natural Products Chemistry
• Phytochemistry
• Drug Discovery
• +۲ مورد دیگر

Louise Kjærulff serves as a Research Consultant in the Department of Drug Design and Pharmacology within the Faculty of Health and Medical Sciences at the University of Copenhagen. Her work centers on natural product drug discovery, with emphasis on Australian Eremophila species and other endemic plants, utilizing advanced analytical techniques for bioactive compound identification. Her research spans Natural Products Chemistry , Phytochemistry , and Drug Discovery , focusing on isolation and structural characterization of alkaloids, lignans, diterpenoids, and sesquiterpenoids. She employs high-resolution methods including HPLC, NMR spectroscopy, molecular networking, and bioassay-guided fractionation to evaluate cytotoxicity, enzyme inhibition, and radical scavenging activities of plant metabolites. Analysis of her 2022-2024 publications reveals strong interdisciplinary collaboration, particularly in Australian biodiscovery projects. Key themes include phytochemical profiling of Eremophila species, biosynthetic pathway investigations, and ethical considerations in ethnobotanical research. Her work integrates computational chemistry with experimental validation for stereochemical assignments. No scientific awards or fellowships were documented in the available profile. Louise Kjærulff has not listed any formal advisees or research grants in the current information. She operates within the Joint Lab Facilities at the University of Copenhagen and maintains active international collaborations with Australian researchers on plant-based drug discovery initiatives, addressing both scientific and ethical dimensions of natural product research.

Devarajan Ramanujanمشاهده پروفایل

دانشیار

• Sustainable design
• Sustainable manufacturing
• Circular economy
• +۷ مورد دیگر

Devarajan Ramanujan is an Associate Professor in the Department of Mechanical and Production Engineering at Aarhus University, Denmark, under the school of AU Engineering. He leads the Design and Manufacturing Section and directs the Life Cycle Design and Manufacturing Research Group, focusing on sustainability and circular economy integration in engineering systems. He joined Aarhus University in 2017 after completing a postdoctoral fellowship at MIT and earning his PhD from Purdue University. Research Interests: His work centers on sustainable design, sustainable manufacturing, circular economy, life cycle assessment, and digital twins. He develops computer-aided tools to embed environmental and circularity assessments early in product and process design. The research is practice-oriented and conducted in collaboration with manufacturing industries, standards bodies, and innovation clusters. Publication Trends: His recent publications (2017–2024) show a consistent focus on integrating sustainability into engineering design and manufacturing. Key themes include life cycle assessment visualization on CAD models, circular disassembly frameworks, digital threads for circular economy, and multiregional analysis of critical material supply chains (e.g., dysprosium). The work spans environmental engineering, industrial systems, and digital manufacturing. Scientific Awards: Award from the American Society of Mechanical Engineering (ASME) Award from the Association of EcoDesign Societies in Japan Award from Aarhus University Award from Purdue University Advising and Grants: While specific student advisees are not listed, he leads a research group and has secured multiple competitive research grants. His funded projects include ACCURATE (2024–2026), Building the Digital Thread (2021–2025), and Realizing Circular Production (2022–2024), among others, indicating active mentorship and project leadership. These projects are supported by national and international funding bodies, though specific agencies are not named. Labs and Teams: He leads the Life Cycle Design and Manufacturing Research Group, which develops computational methods for sustainable engineering. The group emphasizes collaboration with industry and real-world implementation, suggesting strong industrial linkages and applied research focus.

• Gene regulation
• Bioinformatics
• RNA Biology
• +۶ مورد دیگر

Albin Gustav Sandelin is a Professor in the Department of Biology at the University of Copenhagen, specializing in bioinformatics and RNA biology. With a PhD in Functional Genomics from Karolinska Institute (2004) and an MSc in Molecular Biology from Stockholm University (2000), his career spans roles at institutions including RIKEN Yokohama Institute and Tokyo Medical and Dental University. His research focuses on Gene regulation mechanisms Transcription start site dynamics RNA sequencing methodologies Promoter architecture analysis Cancer microenvironment interactions . Recent publications highlight his work in pancreatic cancer adaptation to acidic environments (2024-2025), TLDR-seq for RNA analysis, and JASPAR database development. He supervises PhD students including Eivind Valen and Eric Man-Hung, with a history of teaching bioinformatics courses at Karolinska Institute and Copenhagen University. Key collaborations involve institutions in Japan, Canada, and Sweden, with ongoing contributions to open-access genomic resources like JASPAR.

• Superconductivity
• Quantum Physics
• Spin Fluctuations
• +۳ مورد دیگر

Andreas Kreisel is an Assistant Professor at the Niels Bohr Institute , University of Copenhagen, specializing in Condensed Matter Physics . He investigates unconventional superconductivity, altermagnetism, and quantum fluctuations in materials like iron pnictides and chalcogenides. Key Research Areas : Superconductivity, spin-wave theory, orbital-selective pairing, quasiparticle interference, and topological states. His recent publications in journals like Physical Review B and Nature Materials address nodal gap structures, Hebel-Slichter peaks in kagome superconductors, and altermagnetic signatures. He collaborates globally with researchers in the US, Brazil, and Germany. Email : kreisel@nbi.ku.dk , kreisel@itp.uni-leipzig.de Personal Page : Research , Teaching

• Programming Languages
• Quantum Computing
• Reversible Computing
• +۳ مورد دیگر

Robin Kaarsgaard is an Assistant Professor (Tenure-track) specializing in Programming Languages, Quantum Computing, and Reversible Computing. His work bridges theoretical computer science with practical programming language design, focusing on foundational aspects of quantum algorithms, invertible computation, and algebraic structures. Research interests include quantum programming languages, reversible computing models, category theory applications in computer science, and formal semantics of programming constructs. He has contributed to frameworks like Jeopardy, an invertible functional language, and explored quantum computing's computational limits through mathematical abstractions. Key projects include the Landauer Meets von Neumann initiative (2020–2022), investigating reversibility in quantum semantics. His work has been featured in media discussions about academic life in Svendborg, Denmark. Publications span 28 peer-reviewed outputs in venues like ACM Proceedings and Lecture Notes in Computer Science, with recent focus on compositional approaches to quantum programming and invertible recursion mechanisms.

Erik Schaltzمشاهده پروفایل

دانشیار

• Power Electronics
• Electric and Hybrid Vehicles
• Battery Management Systems
• +۵ مورد دیگر

Erik Schaltz is an Associate Professor at the Department of Energy, Aalborg University, Denmark, within the Faculty of Engineering and Science. He leads the research program in E-mobility and Drives and is a guest editor for journals focused on batteries and electric mobility. His expertise spans power electronics, electric machines, fuel cells, batteries, and ultracapacitors in electric/hybrid vehicles, with a focus on battery state-estimation, management, and modeling. Education: Ph.D. in Electrical and Electronic Engineering (2010) M.Sc. in Electrical Energy Technology (2005) Research Interests: His work centers on energy storage systems, particularly battery management, state-of-charge/health estimation, thermal management, and renewable energy integration. Projects include electrolysis for green hydrogen, battery security, and electric vehicle drivetrains. Recent Projects: Robust And Dynamic Electrolysis for Power-to-X (2024-2027) DynEfuel: Reversible Power-to-X Technology (2023-2025) DeepBMS: Reinforcement Learning-Based Battery Management (2023-2025) Awards: Best Paper on Ecological Vehicles (2019) ITS Outstanding Application Paper (2015) Best Paper on Ecological Vehicles (2015) Advising & Grants: Supervisor of 6 PhD students and principal investigator in multiple EU and national grants, including EUDP and Danish Ministry of Education and Research projects. Research impacts include economic benefits from power converter systems for electrolysis stacks. Labs & Teams: Active in the Mechatronic Systems and Batteries E-Mobility and Drives groups, collaborating on marine and maritime research (BLUE initiative). Engages in public talks on battery technology and e-mobility trends.

• Quantum Physics
• Superconductivity
• Nanowire Devices
• +۳ مورد دیگر

Yu Liu is a researcher at the Center for Quantum Devices within the Niels Bohr Institute at the University of Copenhagen. The Center for Quantum Devices focuses on cutting-edge research in quantum physics, particularly in areas related to spin qubits, topological quantum systems, novel devices, superconducting qubits, and quantum materials. Dr. Liu's research spans multiple disciplines within quantum physics and condensed matter. His primary focus appears to be on quantum devices, particularly investigating superconductivity in hybrid nanowire systems with ferromagnetic components. His work explores spin-split superconductivity, supercurrent transport, and spin-polarized bound states in semiconductor-superconductor-ferromagnetic-insulator hybrid structures. Beyond quantum physics, Dr. Liu has also published work in computer vision, mathematics, particle physics, transportation studies, and medical imaging, demonstrating remarkable interdisciplinary breadth. His recent publications (2021-2025) show a strong focus on quantum transport phenomena in hybrid nanostructures, particularly examining the interplay between superconductivity, ferromagnetism, and spin-orbit coupling in nanowire systems. These investigations have important implications for the development of topological quantum computing platforms and novel quantum devices. The observed phenomena include supercurrent reversal near coercive fields of ferromagnetic insulators, spin-splitting exceeding induced superconducting gaps, and percolative supercurrent flow in bilayer systems. Dr. Liu has collaborated extensively with researchers at the Center for Quantum Devices, including P. Krogstrup, S. Vaitiekėnas, C. M. Marcus, M. Leijnse, and R. Seoane Souto. His work often involves experimental measurements combined with theoretical modeling to explain observed phenomena in quantum transport systems, bridging the gap between fundamental physics and potential quantum technology applications.

Christoph Seidlمشاهده پروفایل

دانشیار

• Software Engineering
• Virtual Reality
• Software Visualization
• +۵ مورد دیگر

Christoph Seidl is an Associate Professor in the Department of Software Engineering at the IT University of Copenhagen. His research focuses on software visualization, software archaeology, and the application of virtual reality in software engineering tasks. He leads the Immersive Software Archaeology project, exploring collaborative systems and legacy system analysis in virtual environments. Key research areas include software product lines, feature modeling, and model-driven development. Seidl has received awards such as the SoSyM Best Reviewer Award (2018) and SPLC'19 Distinguished Reviewer Award (2019). His work emphasizes innovative tools for software exploration, including immersive 3D visualization and collaborative note-taking systems in VR. He has published extensively on topics like variability management, configuration testing, and domain-specific languages. Research trends in his articles highlight advancements in using VR for software archaeology, collaborative software exploration, and methodologies for managing software evolution. His projects address challenges in legacy system understanding, feature model synthesis, and automated testing for configurable systems. Seidl collaborates internationally, with projects funded by the Independent Research Fund Denmark. His contributions span academic publications, datasets (e.g., VaMoS 2022 artifacts), and tool development for software product line engineering.

Lars Rosgaard Jensenمشاهده پروفایل

دانشیار

• Materials Science
• Glass Ceramics
• Fracture Mechanics
• +۴ مورد دیگر

Lars Rosgaard Jensen is an Associate Professor at the Department of Materials and Production, Aalborg University, within the Faculty of Engineering and Science. His research focuses on advanced materials science, particularly oxide glasses, glass-ceramics, and composite materials. He leads major projects such as CIRCWIND (optimizing circular materials for wind turbine components) and MADE4WIND (innovative materials for offshore wind turbines). His work emphasizes fracture mechanics, sustainable cements, and lithium-ion battery technologies. Key contributions include setting world records in crack-resistant glass and developing novel material synthesis methods. Jensen has authored over 120 publications and holds leadership roles in EU-funded initiatives. Research Interests: Jensen’s expertise spans structural materials, phase separation mechanisms, and material durability under extreme conditions. He explores applications in renewable energy (wind turbine components), sustainable construction, and energy storage systems. His group investigates how microstructural modifications enhance mechanical and thermal properties of glasses and ceramics. Projects: As PI, he oversees projects addressing circular economy solutions for wind energy (CIRCWIND, MADE4WIND) and advanced composites (AIOLOS). Collaborations include EU Horizon Europe programs and industry partnerships. Grants & Advising: His grants include funding from the EU’s Research Innovation Program. While no student advisees are listed, his projects involve multidisciplinary teams and PhD candidates in materials science and engineering.

Florian Echtlerمشاهده پروفایل

دانشیار

• Ubiquitous Computing
• Peer-to-Peer Networking
• Security/Privacy
• +۶ مورد دیگر

Florian Echtler is an Associate Professor at Aalborg University's Department of Computer Science within The Technical Faculty of IT and Design. He holds a PhD in Computer Science from the Technical University of Munich (2009). His research focuses on ubiquitous computing, peer-to-peer networking, and security/privacy, aiming to reduce dependency on centralized infrastructure in mobile and cloud ecosystems. He has held roles including Junior Professor at Bauhaus-Universität Weimar (2014–2020) and Visiting Professor at University of Regensburg (2012–2014). Current affiliations: Human-Centered Computing Centre and Centre for Sustainable and Digital Transformation. Editorial roles: Journal of Visualization and Interaction, i-com. Research interests include interactive surfaces, mixed reality, mobile devices, and IoT. Notable projects: DeUCoE : Decentralized Ubiquitous Computing in Everyday Environments (DFG-funded, 2021–2024). VIGITIA : Smart interactive table environments (BMBF-funded, 2019–2022). Awards include DIS 2024 Honourable Mention, TEI 2022 Best Paper Award, and CHI 2020 Best Paper Award (top 1%). Active in media engagement, e.g., discussing mobile collision warnings (2022).

• Biostatistics
• Medical Statistics
• Clinical Trials
• +۷ مورد دیگر

Birgit Debrabant is an Associate Professor at the Department of Mathematics and Computer Science, University of Southern Denmark, with additional roles in Data Science and the STEM Center for Educational Research – FNUG. Her interdisciplinary work bridges statistical methodology with applications in neuroscience, clinical medicine, and public health. Department: Department of Mathematics and Computer Science Research Centers: STEM Center for Educational Research – FNUG Professional Affiliation: Active in Danish Society for Theoretical Statistics Her research focuses on biostatistics in clinical contexts, particularly neurosurgical outcomes, chronic subdural hematoma, intraventricular hemorrhage, and public health interventions. She employs advanced statistical methods including randomized trials, observational studies, meta-analyses, and genetic association studies. Her work often involves large-scale registry data and methodological innovation in handling complex health data. The 15 most recent publications reveal a strong trend in medical statistics, especially in neurosurgery and public health. Topics include optimal drainage times, antithrombotic therapy, BMI policy impacts, and statistical methods for DNA methylation and hidden population estimation. These reflect a cohesive research program applying rigorous statistical science to pressing clinical and public health questions. She has no listed scientific awards in the provided text. Birgit Debrabant actively contributes to teaching and curriculum development, particularly in biostatistics and applied statistics for health sciences. She has led or co-taught courses such as 'Advanced Biostatistical Methods in Health Sciences' and 'Theory of Science and Statistics'. While no formal student advising or grant information is mentioned, her involvement in multi-center trials and educational initiatives suggests collaborative leadership. She participates in national and international conferences, including DAGStat and the International Workshop on Applied Probability. She is involved in collaborative research networks, particularly in theoretical statistics and health data science, and contributes to professional events as both organizer and presenter.

Yi Zongمشاهده پروفایل

پژوهشگر

• Power-to-X
• Wind Power
• Energy Storage
• +۵ مورد دیگر

Dr. Yi Zong is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), specializing in renewable energy integration, power-to-X technologies, and demand response systems. His work bridges theoretical control strategies with practical applications in wind-dominated energy systems. Current Projects: DTWO (Digital Twins for Offshore Wind), P2X-Risø (Energy Harvesting), and ECoClay (Electric Calcination of Clay) Research interests include: Power-to-Hydrogen systems and alkaline electrolyzer optimization Model Predictive Control for microgrids and thermal energy storage Demand response in industrial processes (cement industry) and smart buildings Dynamic modeling of reversible solid oxide cells and hybrid energy storage Recent publications focus on: Advanced control algorithms (decentralized event-triggered, adaptive) Techno-economic analysis of hydrogen and industrial electrification Integration of wind and solar with energy storage systems Flexibility quantification in multi-carrier energy systems Active collaborations span European research institutions and industry partners, emphasizing cross-sectoral energy system integration.

• Computational Biology
• Biophysics
• Image Analysis
• +۶ مورد دیگر

Albert Alonso is a Research Fellow at the Department of Computer Science within the Faculty of Science at the University of Copenhagen . He is affiliated with the Niels Bohr Institute and holds the position of Guest PhD Student in addition to his postdoctoral role. Postdoctoral Fellow in Biocomplexity and Biophysics Guest PhD Student Image Analysis and Computational Modeling Albert’s research focuses on computational biology , biophysics , and image analysis , with particular emphasis on gradient sensing and biological transport networks . His work bridges theoretical physics and computer science to develop differentiable computational methods for understanding microorganism behavior and cell motility . Recent publications highlight advancements in optimal node positioning , non-reciprocal chaotic systems , and chemotaxis strategies . His studies often integrate computational modeling with biological systems , including applications in high-density microscopy data analysis and receptor dynamics for spatial gradient sensing. Albert’s work has been published in high-impact journals such as Physical Review Letters , PNAS , and Communications Biology . He employs open-access platforms and collaborates with institutions globally, with a focus on Denmark and international networks .

Lorenzo Costigliolaمشاهده پروفایل

دانشیار

• Statistical Mechanics
• Condensed Matter Physics
• Soft Matter Physics
• +۳ مورد دیگر

Lorenzo Costigliola is an Associate Professor at the Department of Mathematics and Physics within the School of Science and Environment at Roskilde University. His research focuses on statistical mechanics of complex systems, particularly glass-forming liquids, entropy scaling, and dynamical heterogeneities. Research Highlights: He investigates scaling laws in soft matter systems, with recent work on Interpolating between pair-potential systems Active-parameter polydispersity in Yukawa models Complexity scaling in viscous liquids Isomorph invariance in Lennard-Jones systems Scientific Contributions: His publications span molecular dynamics, configurational temperature analysis, and non-equilibrium thermodynamics, with a strong emphasis on computational methods and theoretical modeling.

• Reversible Computation
• Programming Languages
• Functional Programming
• +۵ مورد دیگر

Michael Kirkedal Thomsen is an Associate Professor in the Programming Languages and Theory of Computation section at the Department of Computer Science (DIKU), University of Copenhagen's Faculty of Science. His research focuses on reversible computation and programming language theory, with significant contributions to invertible functional programming languages. He maintains an active research profile with numerous publications in the field of reversible computing. Thomsen's research interests center around reversible computation , programming languages , and functional programming . His work explores the theoretical foundations and practical implementations of reversible systems, with particular attention to program transformations, semantics, and energy efficiency implications. His research bridges theoretical computer science with practical applications in programming language design. His recent publications demonstrate a clear trend toward developing practical reversible programming languages like Jeopardy and analyzing their properties. The research spans theoretical aspects of reversible semantics to practical considerations like energy overhead when executing reversible programs on conventional hardware. His work connects computer architecture, programming language theory, and formal methods. Marie Curie Fellowship Thomsen has presented his research at conferences including talks on 'Reversible Functional Programming Languages' and 'Programming in Reversible Computing and its application to speculative execution.' His research has garnered significant academic attention with multiple publications receiving numerous citations. He collaborates internationally across various institutions, contributing to the global advancement of reversible computing research. Thomsen maintains an active research profile with regular publications in specialized conferences on reversible computation. His work appears to be centered in the Programming Languages and Theory of Computation research group at DIKU, where he contributes to advancing theoretical computer science with practical implications for energy-efficient computing and language design.