Find Academic Supervisors

• Neuroscience
• Glymphatic System
• Cerebrospinal Fluid Dynamics
• +4 more

Ryszard Stefan Gomolka is an Assistant Professor at the Center for Translational Neuromedicine within the Faculty of Health and Medical Sciences at the University of Copenhagen. His research focuses on brain fluid dynamics and clearance mechanisms, with recent publications appearing in high-impact journals including Nature Neuroscience, Science, and Glia. Dr. Gomolka's research interests center on the glymphatic system, cerebrospinal fluid dynamics, and brain waste clearance mechanisms. His work investigates how sleep affects glymphatic clearance, the impact of metabolic conditions like hyperglycemia on fluid transport, and the anatomical structures that compartmentalize cerebrospinal fluid flow. He employs advanced neuroimaging techniques including MRI and bioluminescence microscopy to study these processes in both mouse models and human subjects. His recent publications demonstrate a strong focus on translational neuroscience, with work spanning from basic anatomical discoveries (like the mesothelium dividing subarachnoid space) to clinical applications (imaging brain clearance pathways in humans). His research has received significant attention, with one 2023 Science paper garnering 175 Scopus citations, 106 news outlet pickups, and references in 13 Wikipedia pages. Dr. Gomolka frequently collaborates with leading researchers in the field, most notably Professor Maiken Nedergaard, a pioneer in glymphatic system research. His work bridges multiple disciplines including neuroscience, neuroimaging, sleep medicine, and ophthalmology, reflecting the interdisciplinary nature of modern brain fluid dynamics research. His laboratory develops and applies advanced imaging protocols and computational algorithms for studying cerebrospinal fluid dynamics. Recent work includes developing an automatic adaptive algorithm for delineating CSF regions in MRI and protocols for studying oxygen dynamics in the mouse brain using bioluminescence microscopy.

Abid HussainView profile

Associate Professor

• Information Systems
• Design Science
• Big Data Analytics
• +2 more

Abid Hussain serves as Associate Professor at Copenhagen Business School's Department of Digitalization, specializing in the convergence of digital technologies and organizational practices with emphasis on data-driven solutions and privacy-centric systems development. His research portfolio spans: Design Science in Information Systems Big Social Data and Big Data Analytics Enterprise Software Development (web, database, desktop solutions) Privacy by Design frameworks and data protection tools He has engineered solutions for data collection, transformation, and analytics pipelines alongside enterprise system integrations involving API security, document sharing, and WSDL protocols. Publication trends (2018-2025) reveal consistent innovation in privacy-preserving technologies (blockchain-based access control), immersive educational tools (VR classrooms), and multilingual social analytics. His work demonstrates interdisciplinary impact across computational social science, business informatics, and public health through event management systems, climate psychology studies, and interorganizational data sharing frameworks.

Tala Maria AabøView profile

Assistant Professor

• Fracture Analysis
• Subsurface Temperature Modelling
• Seismic Interpretation
• +3 more

Tala Maria Aabø serves as Assistant Professor in the Department of Geosciences and Natural Resource Management at the University of Copenhagen's Faculty of Science, specializing in geological and geophysical reservoir characterization with emphasis on chalk formations and subsurface temperature dynamics. Education: PhD in Geoscience (2018-2023), University of Copenhagen: "Fractures and their influence on Fluid Flow in Chalk" Master of Science in Sedimentary Basins (2013-2015), University of Copenhagen: "Modelling of Subsurface Temperatures - An Investigation of Bottom Hole Temperatures in the Norwegian North Sea" Research Focus: Dr. Aabø's work integrates digital outcrop modeling , ground penetrating radar , and seismic interpretation for fracture characterization in onshore (Rørdal Quarry) and offshore (Kraka Field) chalk reservoirs. Her temperature modeling research develops empirical equations for static formation temperature correction using bottom hole data, supported by key competencies in data integration , workflow development , and scenario analysis . Publication Trends: Her 2016-2023 outputs reveal concentrated expertise in chalk reservoir fracture networks and North Sea temperature modeling, featuring innovative methodologies like ant-tracked RGB seismic for structural enhancement and DFM algorithms for dynamic fracture simulation. Awards: No scientific awards documented in source materials. Advising & Grants: Available text provides no details regarding student supervision or research funding. Collaborative Projects: Currently concluding the "Chalk Outcrop Analogue Potential" work package (AWF1) with DTU Offshore/Danish Underground Consortium, building on prior work with Kraka, Dan, and Halfdan fields in the Danish North Sea.

• Computer Science
• Algorithms
• Software Engineering
• +3 more

Andreas Bergmann Sværke serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, focusing on core computer science education within the institution's technical curriculum. His research spans foundational areas of Computer Science, including Algorithms, Software Engineering, Artificial Intelligence, Programming Languages, and Data Structures, reflecting the department's emphasis on both theoretical and applied computational disciplines.

• Computer Science
• Artificial Intelligence
• Data Science
• +3 more

Alexander Juel Vind serves as a Lecturer in the Department of Computer Science within the Faculty of Science at the University of Copenhagen, Denmark. His research spans core computer science domains including Artificial Intelligence, Data Science, and Software Engineering, with emphasis on algorithmic development and programming language applications. The department's focus on theoretical and applied computing informs his technical instruction and scholarly work. Based at Universitetsparken 1, 2100 København Ø, he contributes to the university's computational research ecosystem through teaching and departmental collaboration.

Jeppe Dyrberg AndersenView profile

Associate Professor

• Forensic Genetics
• Shotgun Sequencing
• Forensic Investigative Genetic Genealogy
• +7 more

Jeppe Dyrberg Andersen serves as Associate Professor in the Section of Forensic Genetics at the University of Copenhagen's Faculty of Health and Medical Sciences. His research focuses on advanced genetic analysis techniques for forensic applications, particularly with degraded biological samples from crime scenes. His primary research domains include: Forensic investigative genetic genealogy using shotgun sequencing Molecular autopsy for sudden unexpected death investigations Pigmentation genetics (hair, skin, eye color prediction) Ancestry determination using AIMs Epigenetic analysis for age/lifestyle prediction Skin cancer and melanoma biomarker research Recent publications demonstrate leadership in developing RNA and DNA analysis protocols for challenging forensic samples, with 77 research outputs including high-impact journals like Forensic Science International: Genetics. His work integrates methylome, transcriptome, and genome analyses to solve complex forensic cases. Professional activities include 14 recorded engagements such as lectures at ISFG 2024 and workshops on shotgun sequencing preparation. His technical expertise spans whole genome/exome/transcriptome sequencing, bioinformatics, and high-throughput data analysis for forensic contexts.

• Classification Theory
• Digital Media
• Rhetorical Genre Theory
• +4 more

Jack Andersen serves as an Associate Professor in the Department of Communication at the Faculty of Humanities, University of Copenhagen, with his office located at Karen Blixens Plads 8 in Copenhagen. His academic career spans over two decades, beginning with part-time teaching roles at the Danish School of Library and Information Science in 1998 and progressing through leadership positions including institute director and prorector before his current appointment since 2013. His educational background is entirely rooted in library and information science: Ph.D. from the Danish School of Library and Information Science (2003) Cand. scient. bibl. (Master's equivalent, 2000) Bibliotekar D.B. (Bachelor's equivalent, 1998) Andersen's research fundamentally examines how classification systems shape societal structures, focusing on digital media's role in categorizing information, individuals, and groups. He integrates rhetorical genre theory, cultural techniques, and communication theory to analyze algorithmic categorization, digital archiving, and the political consequences of knowledge organization. His work bridges information science with critical social theory, emphasizing power dynamics in digital classification practices. His recent publications (2024-2026) demonstrate a pronounced shift toward contemporary digital culture phenomena, particularly analyzing BookTok communities, digital dating platforms, and literary mediation through Benjaminian frameworks. These works reveal interdisciplinary convergence across media studies, digital humanities, and sociology, with consistent emphasis on how digital classification reshapes intimacy, authenticity, and cultural reproduction in networked societies. Andersen maintains significant academic engagement through 82 documented activities including peer review, conference organization (notably CoLIS 2025), editorial work, and service on external review committees such as the Censor Corps for University Pedagogy programs (2019-2022). His teaching portfolio spans genre theory, media communication, and academic writing within the Department of Communication.

• Differential Privacy
• Algorithms
• Data Streams
• +3 more

Christian Janos Lebeda serves as a Guest Researcher in the Department of Computer Science at the University of Copenhagen, specializing in the Algorithms and Complexity group with a focus on theoretical privacy mechanisms. His research centers on differential privacy , particularly developing efficient algorithms for private statistical estimation in data streams. Key contributions include variance-aware mean estimation techniques and privacy-preserving histogram construction using sketching methods like Misra-Gries, addressing fundamental challenges in high-dimensional data analysis. Recent publications demonstrate a cohesive research trajectory advancing privacy guarantees in streaming algorithms, with work appearing in premier venues such as PODS and Proceedings on Privacy Enhancing Technologies. This reflects growing expertise at the intersection of theoretical computer science and practical privacy preservation for big data systems.

• Computer Science
• Artificial Intelligence
• Data Science
• +3 more

Celia Karen Larsen serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, Denmark, with her office located at Universitetsparken 1, 2100 København Ø. She is contactable via email at cela@di.ku.dk. Her research interests span core areas of Computer Science, including Artificial Intelligence, Data Science, Software Engineering, Algorithms, and Programming Languages, reflecting the department's academic focus. These broad yet interconnected fields emphasize both theoretical foundations and practical applications in modern computing. No scientific awards, student advising records, or laboratory affiliations were documented in the source material, indicating limited public academic profile details beyond her teaching role.

Peter NielsenView profile

Professor

• Artificial Intelligence for Operations Research
• Logistics and Supply Chain Optimization
• Unmanned Aerial Vehicles (UAVs)
• +3 more

Professor Peter Nielsen is a faculty member at Aalborg University's Department of Materials and Production, part of The Faculty of Engineering and Science. He specializes in Artificial Intelligence for Operations Research, focusing on logistics optimization, unmanned aerial vehicles (UAVs), and heuristic algorithms. His work bridges theoretical research and practical applications in industrial automation and sustainable systems. He has led or participated in multiple research projects, including the ORMS project (Operational Reliability Management System) and the ValuePole initiative, which addressed value chain optimization for SMEs. His research emphasizes AI-driven solutions for maritime search and rescue, UAV operations in dynamic environments, and autonomous systems for healthcare logistics. Notable research interests include optimizing routing and scheduling problems, trustworthiness in autonomous vehicle algorithms, and cross-infection risk mitigation in indoor environments. His contributions span over 210 publications, with recent work highlighted in journals like Journal of Intelligent and Robotic Systems and Marine Policy . Peter has advised two PhD students and contributed to academic activities as a peer reviewer for Production & Manufacturing Research . His work often integrates computational fluid dynamics (CFD) and Taguchi methods for optimizing ventilation systems and reducing disease transmission risks.

Rasmus Løvenstein OlsenView profile

Associate Professor

• Smart Grids
• Distribution Grid Modeling
• Cybersecurity in Energy Systems
• +5 more

Rasmus Løvenstein Olsen is an Associate Professor at Aalborg University’s Department of Electronic Systems, part of The Technical Faculty of IT and Design. His research focuses on smart grids, energy systems, and cybersecurity in distribution networks. Key areas include distribution grid modeling, smart meter optimization, and anomaly detection in electrical systems. Education: Not explicitly detailed in the provided text, but his academic role implies advanced degrees in Electrical Engineering. His research interests revolve around enhancing grid resilience, improving state estimation techniques, and leveraging data analytics for energy systems. He collaborates on projects like Data Analytics in Smart Distribution Grids and ReDistXAI , addressing challenges in renewable integration and cyber-physical security. Publications span anomaly detection algorithms, cyber-physical control systems, and stochastic network modeling. His work emphasizes practical applications, such as optimizing smart meter deployment and securing grid communication networks. Grants/Projects: 12+ projects, including EU-funded initiatives like Net2DG and RemoteGRID . Awards: None explicitly listed in the text. Labs/Teams: Involved in the Wireless Communication Networks and Green Digital Energy Systems research groups.

Esben LindgaardView profile

Professor

• Composite Materials
• Wind Turbine Engineering
• Fracture Mechanics
• +3 more

Esben Lindgaard is a Professor at the Department of Materials and Production, Faculty of Engineering and Science, Aalborg University. His research focuses on composite materials, fracture mechanics, and fatigue-driven damage in wind turbine structures. Projects: CIRCWIND (Circular material solutions for wind turbines), MulFat (Multiscale fatigue modeling), MADE4WIND (Innovative floating wind components). Research: Specializes in delamination behavior, crack propagation, and computational modeling of composite structures under static and fatigue loading. His recent work explores deep learning for delamination traction fields, cohesive element fatigue modeling, and binder-stabilized fabric forming simulations. Collaborates extensively with industry partners and contributes to open-access datasets and software tools. Awards: AAU Talent Project (2018), honored for wind turbine blade defect research (2020). Expertise: Composite material failure, multiscale modeling, industrial validation, and wind energy structural integrity.

Yuan LiView profile

Research Fellow

• Predictive Control
• Power Electronics
• Microgrid
• +4 more

Yuan Li is a Postdoctoral Researcher at the Applied Power Electronic Systems group within the Faculty of Engineering and Science at Aalborg University, Denmark, working under the supervision of Professor Frede Blaabjerg. Her research focuses on advanced control methodologies for power electronic systems and microgrids. Her primary research interests include: Predictive Control Power Electronics Microgrid Battery Energy Storage Model Predictive Control DC/DC Converters Transients Dr. Li specializes in model predictive control (MPC) applications for DC microgrids and power converters, with recent work emphasizing transient response optimization, prediction horizon design, and integration of neuromorphic computing for grid resilience. Her publications reveal a strong trend toward machine learning-enhanced control systems and hardware-efficient implementations for renewable energy integration. She serves as Principal Investigator for the project "Dynamic Stabilization of DC Microgrids Based on Model Predictive Control of Point-of-Load Converters" (2021-2024), securing significant research funding to develop MPC algorithms for DC microgrid stabilization. Her collaborative network includes prominent researchers like Frede Blaabjerg, Sahoo, and Dragicevic across multiple high-impact publications.

Birger AndersenView profile

Professor

• Internet of Things
• Cybersecurity
• Wireless Communication
• +4 more

Birger Andersen is a Professor in the Department of Engineering Technology and Didactics at the Technical University of Denmark (DTU), specializing in Energy Technology and Computer Science. His research actively contributes to UN Sustainable Development Goals through IoT security, wireless communication, and machine learning applications. He leads multiple projects including Machine Learning for Beehives Monitoring and Towards The 6G Authentication Protocol. Andersen's research spans post-quantum cryptography for IoT devices, security vulnerabilities in autonomous vehicle infrastructures, and wireless protocol analysis (LoRaWAN/NB-IoT). His work integrates machine learning for environmental monitoring and addresses jamming attacks on critical communication systems. Key focus areas include cryptographic algorithm implementation on microcontrollers and securing next-generation 6G networks. Recent publications reveal strong trends toward hybrid post-quantum cryptography solutions for resource-constrained IoT devices and 6G authentication systems. His research emphasizes practical security implementations in wireless communication protocols, with significant attention to LoRa-based systems and autonomous vehicle infrastructures. The work consistently bridges theoretical cryptography with real-world hardware constraints. Andersen supervises PhD student Turnip, T. N. (6G Authentication Protocol) and Master's student You, L. (Nature Assessment via Remote Sensing). His research is funded through projects like Machine Learning for Beehives Monitoring (2023-2026) and Jamming Against Critical Wireless Communication (2022-2023), with industry collaborations through InnoTech - TaskForce and F2D2: The Community for Dynamic Data. He is integral to DTU's Cybersecurity Labs and contributes to the Summer School in Cyber Security. His F2D2 project builds smart city cybersecurity frameworks through the Community for Dynamic Data initiative, addressing urban security challenges while advancing green transition technologies.

Thomas PlougView profile

Professor

• AI Ethics
• Data Ethics
• Medical Ethics
• +6 more

Thomas Ploug is a Professor at Aalborg University's Department of Communication and Psychology, within The Faculty of Social Sciences and Humanities. He serves as Director of the Centre for AI Ethics, Law, and Policy and Director of the Centre for Ethics Education. As Chair of the Research Ethics Committee at Aalborg University and former member of Denmark's National Council of Ethics, Ploug focuses on AI Ethics, Data Ethics, Medical Ethics, and Research Ethics. His work includes projects like the REPAI initiative on Responsible AI for Value Creation and the XAI for Safety and Security project. He has been honored with awards such as the 2020 Best Paper Award and the 2009 Lecturer of the Year. His research spans ethical challenges in AI, healthcare technology, genomic data, and public health interventions. Ploug's research interests include informed consent models, explainable AI (XAI), patient rights in AI decision-making, and the ethical implications of data-driven healthcare. He has contributed to over 100 publications and actively participates in expert committees and advisory boards. His teaching spans over 20 years, emphasizing ethics education and practical applications of ethical frameworks in technology and healthcare contexts. Key Projects: REPAI: Responsible AI for Value Creation (2023–2027) XAI for Safety and Security: A Bottom-Up Approach (Villum Foundation-funded) JOURNALENS SOCALE LIV (2017–2019) Awards: Best Paper Award (2020) Lecturer of the Year, Faculty of Humanities (2009) His advocacy extends to ethical governance of emerging technologies, with frequent media engagements on AI ethics, data privacy, and healthcare technology. Ploug collaborates internationally, including as a Guest Professor at Halmstad University, Sweden, and through interdisciplinary teams like the Humanomics Research Group and the Purposeful Technology Lab.