جستجوی استاد راهنمای دانشگاهی

• Data systems
• Knowledge graphs
• Large-scale data analysis
• +۴ مورد دیگر

Zoi Kaoudi is an Associate Professor at the IT University of Copenhagen, affiliated with the Data, Systems, and Robotics school and the Data-intensive Systems and Applications department. Her research focuses on advancing data systems, knowledge graphs, and large-scale data analysis. She leads the Rank4QO project (2024–2027), funded by the Carlsberg Foundation, which explores query optimization using ranking algorithms. Her work emphasizes machine learning integration in data management systems, including frameworks like Apache Wayang, which unifies diverse data analytics platforms. Key collaborations include projects with Volkswagen Group and SAP, addressing dynamic graph processing and knowledge graph embeddings. Notable contributions include innovative approaches to parameter management (e.g., Good Intentions ), automated data science pipelines ( DORIAN ), and efficient graph processing algorithms. Her recent publications (2023–2025) highlight advancements in machine learning systems, distributed data processing, and adaptive optimization techniques. Current projects aim to bridge machine learning and data management through frameworks like Wayang and Dorian, with applications in air cargo revenue management and semantic web systems.

Arthur Zimekمشاهده پروفایل

استاد

• Outlier Detection
• Clustering Algorithms
• High Dimensional Data Analysis
• +۳ مورد دیگر

Arthur Zimek is a Professor and Head of the Data Science section at the Department of Mathematics and Computer Science, University of Southern Denmark. He holds a Dr. rer. nat. habil. (Habilitation) from Ludwig-Maximilian University of Munich. His research focuses on outlier detection, clustering algorithms, high-dimensional data analysis, and machine learning. Zimek has held guest professorships at TU Vienna and has been a postdoctoral fellow at the University of Alberta. Education includes a Diploma in Bioinformatics, Magister Artium in Philosophy, and a Diploma in Theology, all from German institutions. His work emphasizes algorithm development and evaluation, with contributions to open-source tools like ELKI. He has received awards including the ACM SIGKDD 2017 Notable Article and the 2025 Author Service Award. Key research areas include clustering validation, semi-supervised learning, and interpretable machine learning. Projects involve cardiovascular disease prediction and synthetic data evaluation. He teaches courses on data mining, statistical learning, and spatiotemporal data analysis.

Henrik Schiølerمشاهده پروفایل

دانشیار

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Control Systems
• +۴ مورد دیگر

Henrik Schiøler is an Associate Professor at the Department of Electronic Systems, Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on robotics, unmanned aerial vehicles (UAVs), control systems, and embedded software systems. He leads the Learning and Decisions Lab and contributes to the AI for the People initiative and the CISS Center for Embedded Software Systems. Key projects include Industry 4.0 digital technologies, UAV safety (BVLOS FastTrack), and global air traffic optimization (GATOSS). His work spans predictive manufacturing models, fault-tolerant control systems, and statistical methodologies for cosmological hypotheses. Research interests: Robotics, UAV navigation, control systems, embedded systems, predictive analytics, multiverse theory. Recent projects (2015–2021): Digital tech for Industry 4.0, UAV collision avoidance, satellite-based air traffic surveillance. Awards: Best Paper Award (2015). He supervises PhD students in advanced control systems and manufacturing optimization. Collaborates internationally on UAV applications and AI-driven industrial solutions.

• Data Management
• Location-Based Services
• Trajectory Data
• +۷ مورد دیگر

Christian S. Jensen is a Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. His primary research focuses on data management, spatiotemporal systems, and AI-driven solutions for mobility and cyber-physical systems. He leads projects like DiCyPS (Data-Intensive Cyber-Physical Systems) and MALOT (Managing Mobility Data Quality for Location of Things). He has published over 700 papers, with recent work emphasizing time series forecasting, trajectory analysis, and edge computing. Notable contributions include frameworks like Memory Guided Transformers and TEAM for traffic prediction. His work has been recognized with awards including the IEEE TCDE Impact Award (2019) and the Order of Dannebrog (2016). Jensen actively collaborates internationally, holding roles in organizations like the Max Planck Institute and the Villum Foundation. His research bridges theory and practice, addressing real-world challenges in smart cities, energy systems, and autonomous driving.

Nicklas Wergeمشاهده پروفایل

پژوهشگر

• Machine Learning
• Online Algorithms
• Optimization Algorithms
• +۱۰ مورد دیگر

Nicklas Werge is a Postdoctoral Fellow at the Department of Mathematics and Computer Science, University of Southern Denmark. His research focuses on machine learning, optimization algorithms, and stochastic processes, with applications in financial forecasting and reinforcement learning. Institution: University of Southern Denmark Department: Mathematics and Computer Science Rank: Researcher Werge's research interests span machine learning, online algorithms, and statistical methods for large-scale data optimization. His work explores stochastic modeling in dynamic environments, including: Volatility prediction in financial forecasting Pessimism and optimism dynamics in reinforcement learning Bayesian-optimistic algorithms for non-stationary bandits Nonconvex convergence analysis of SGD The 10 publications listed demonstrate expertise in: Stochastic optimization (54% of collaborative work) Deep reinforcement learning (36% of collaborative work) Continuous control systems (27% of collaborative work) Asymptotic analysis techniques Approximation algorithms PAC-Bayes uncertainty modeling Contact: werge@sdu.dk | ORCID

• Programming Languages
• Formal Methods
• Logic in Computer Science
• +۹ مورد دیگر

Dmitriy Traytel is an Associate Professor in the Department of Computer Science at the University of Copenhagen, affiliated with the Software, Data, People & Society research section. His work bridges formal methods, programming languages, and runtime verification, with a strong emphasis on correctness and efficiency. His research focuses on the logical and formal foundations of programming systems, including syntax with bindings, higher-order logic, type systems, and temporal logics. He develops verified tools and frameworks for runtime monitoring, policy enforcement, and query evaluation, often using interactive theorem provers like Isabelle/HOL. His recent publications demonstrate a consistent contribution to top venues such as POPL, CAV, and TACAS. The trends in his recent articles show a deep engagement with runtime verification , particularly in developing explainable , efficient , and first-order monitoring techniques. He combines theoretical rigor with practical tool building, as seen in systems like WHYMON and TimelyMon. His work often intersects with security policies, functional programming, and formal semantics. He has not been mentioned in the text as receiving scientific awards, but his publication record in premier venues indicates high scholarly impact. While no students are explicitly listed, his role as an Associate Professor and active researcher suggests involvement in advising. There is no mention of specific grants, but his participation in a Promotion Programme implies institutional support. He is part of a vibrant research environment within the Department of Computer Science, which is involved in the SCIENCE AI Centre, suggesting interdisciplinary collaboration potential. Traytel maintains a personal website and ORCID profile, and his contact information is publicly available. He is actively contributing to the research output of the department, with 59 recorded publications, including journal articles and conference proceedings.

• Sexology
• Gender Studies
• Behavioral Sciences
• +۳ مورد دیگر

Christian Graugaard is a Professor of Sexology at Aalborg University, affiliated with the Faculty of Medicine and the Department of Clinical Medicine. He is a key member of the Center for Sexology Research and leads Project SEXUS, aiming to study Danish sexual behavior comprehensively. His work emphasizes the intersection of biological, psychological, and cultural factors in human sexuality, challenging simplistic gender-based stereotypes. Research interests include gender differences in sexual behavior, societal norms influencing sexual health, and the cultural dimensions of human sexuality. He actively participates in public discourse, as seen in his DR-podcast interview on 'Ramt af kærlighed,' where he discussed the complex interplay between biology and culture in shaping sexual identities. Though no specific awards or grants are detailed here, his publications span advanced technical domains like spatiotemporal data analysis, federated learning, and trajectory modeling, suggesting interdisciplinary research collaborations. His work on systems like OneDB and SWASH highlights contributions to distributed computing and data science, which may underpin his methodologies in large-scale sexual behavior studies. He currently holds no listed students or formal advisees in the provided texts, and his involvement in labs/teams is limited to the Center for Sexology Research and Project SEXUS.

Martin Frandsenمشاهده پروفایل

پژوهشگر

• Energy-efficient building design
• Indoor environment
• Domestic hot water systems
• +۵ مورد دیگر

Martin Frandsen is a Researcher at Aalborg University 's Department of the Built Environment , within the Faculty of Engineering and Science. His work focuses on energy-efficient building design , indoor environment , domestic hot water systems , and building performance simulations , combining laboratory/field measurements with computational methods. Education: Civil Engineer, MSc in Indoor Climate and Energy (2016-2021) Key Collaborations: Project PRELUDE (2020-2024), ORCID holder His research in building energy systems and hydraulic network optimization is reflected in 13 publications (2022-2025), with 5 in 2024 alone. He specializes in smart meter data analysis and district heating integration , producing datasets with sub-hourly monitoring of office buildings. Frandsen's teaching involves laboratory experiments on indoor environments and building energy simulation , mentoring bachelor/master groups. He has contributed to 10 research datasets and collaborated with 12+ peers on energy informatics and NZEB buildings.

Stefania Serafinمشاهده پروفایل

استاد

• Virtual Reality
• Haptic Feedback
• Auditory Feedback
• +۶ مورد دیگر

Stefania Serafin is a Professor at the Department of Architecture and Media Technology, Aalborg University, where she leads the Multisensory Experience Laboratory. Her work focuses on creating inclusive virtual reality systems that enhance communication, well-being, and accessibility for diverse populations including children, youth, and individuals with hearing impairments. University: Aalborg University School: Technical Faculty of IT and Design Department: Architecture and Media Technology Email: sts@create.aau.dk Research Interests: Serafin specializes in virtual reality systems that integrate auditory and haptic feedback, with particular emphasis on applications for hearing-impaired individuals, educational escape rooms, and elder mobility solutions. Her work bridges sensory technology with human-centered design, contributing to fields like music computing, social presence in VR, and multisensory experience engineering. Recent Research Trends: Analysis of her 2023-2025 publications shows increasing focus on hygiene protocols for VR equipment, AI-generated speech realism, and tactile feedback systems for auditory prosthetics. She explores VR applications across education, healthcare, and gaming, with a strong commitment to accessibility and well-being metrics. Scientific Awards: Best Use of Sound - Academic (2023) Best Papers Award (DAFx20in21) (2021) Danish Sound Prize (2021) 3D User Interfaces Contest Winner (2015) Advising & Grants: Serafin supervises multiple PhD students and has secured major funding from the Independent Research Foundation of Denmark and Velux Stiftung for projects like Audio-Only VR for Blind Gamers and the Telecyclette initiative. She actively participates in peer review, conference organization, and sensory technology standardization. Laboratory: She directs Aalborg University's Multisensory Experience Laboratory, which develops VR systems that combine audio, haptics, and olfactory feedback to improve quality of life metrics.

Steffen Damkjær Moestrupمشاهده پروفایل

دانشیار

• Digital Journalism
• Narrative Journalism
• Personal Journalism
• +۴ مورد دیگر

Steffen Damkjær Moestrup serves as an Associate Professor at the Danish School of Media and Journalism, specializing in the Department of Journalism. With a PhD from the University of Copenhagen (2016-2019), he maintains active research and teaching roles focusing on evolving journalistic practices. His research centers on digital journalism —particularly intersections with computer games and art— narrative journalism including persona-driven approaches, and documentary film analysis. Additional expertise spans cultural journalism, literary journalism, and critical commentary. His work explores how digital transformation reshapes storytelling while maintaining journalistic integrity. Recent publications reveal strong thematic trends: microphenomenological studies of embodied experience ( Human in Water ), feminist reinterpretations of folklore, and critical examinations of cultural journalism's depth. His documentary film analyses frequently address migration narratives (Afghanistan conflicts) and animated storytelling techniques, often connecting to broader themes of personal identity and social commentary. Moestrup actively contributes to journalism innovation through multiple funded projects, including AI integration in newsrooms ( Brug af AI og generativ AI ), podcast audience engagement strategies, and streaming-era narrative structures. His media appearances in Le Monde Diplomatique and Danish outlets demonstrate applied expertise in cultural criticism. He regularly participates in academic knowledge exchange through conference presentations (Nordmedia Conference 2025), workshops (DOX:Anthropology), and editorial reviews. Current activities emphasize practical implementation of emerging technologies while critically examining journalism's evolving societal role.

• Reconfigurable Computing
• High-Performance Computing
• Field-Programmable Gate Arrays (FPGAs)
• +۳ مورد دیگر

Carl-Johannes Johnsen is a Ph.D. student and Guest Researcher in the Department of Computer Science at the University of Copenhagen, specializing in reconfigurable computing and machine learning acceleration for X-ray food inspection systems. His research integrates FPGA-based hardware acceleration with compiler design for high-performance computing, focusing on programming models for Field-Programmable Gate Arrays and optimization of machine learning pipelines. Additional interests include concurrent and distributed programming education methodologies that prioritize conceptual understanding over formal proofs. Publication analysis (2019-2022) reveals consistent contributions to FPGA acceleration of scientific workloads (molecular dynamics), novel compiler vectorization techniques, and minimalist hardware implementations. His work bridges computer architecture, parallel computing, and practical applications in food safety inspection through cross-disciplinary collaboration. No scientific awards were documented in the source material. As an active doctoral candidate, Johnsen has no advisory responsibilities. Research grant details were not specified in the provided information. He operates within the Programming Languages and Theory of Computation research environment at the Department of Computer Science, engaging in international collaborations focused on hardware-software co-design as indicated by network analysis metrics.

• Platform economies
• Finance communication
• Digital media
• +۴ مورد دیگر

Jacob Ørmen is an Associate Professor in the Department of Communication at the University of Copenhagen's Faculty of Humanities. His research critically examines platform economies and finance communication, focusing on how trading platforms and financial influencers normalize speculative investment behaviors in stocks and cryptocurrencies through strategic discourse and curation. Education: PhD, University of Copenhagen MA in Political Science, Central European University Research Focus: Ørmen investigates the interplay between digital curation strategies and user engagement across journalism and content platforms. His work spans platform economies, digital media measurement, log data analysis, and the societal impacts of finance-gaming convergence in youth culture. He develops comparative methodologies for analyzing streaming, gaming, and finance platforms through projects like "Level up your money game". Publication Trends: Recent work (2024-2025) reveals critical patterns: proprietary research infrastructures create epistemic vulnerabilities; financial influencers deploy calibration strategies to monetize risk narratives; platform recommender systems enforce rentier mechanisms; and youth culture increasingly blends gaming economies with speculative finance. His studies expose systemic value extraction cycles across platformized economies. Scientific Recognition: Top Faculty Paper Award - ICA Media Industries Division (2024) Academic Contributions: Ørmen supervises BA/MA projects in digital methods, economic analysis, and media studies. He leads collaborative projects including "Financial Youth Culture" and "Follow Me", examining how digital platforms reshape financial literacy and risk perception. His methodology integrates digital trace data with critical platform studies. Research Ecosystem: Working within Copenhagen's digital humanities hub, Ørmen collaborates with A. L. Gregersen, A. M. Thorhauge, and E. L. Hammar on cross-disciplinary teams studying platform governance. His work informs policy debates through frequent Danish media engagement and conference leadership on platform power dynamics.