جست‌وجوی استاد و پژوهشگر

• Theoretical Computer Science
• Formal Methods
• Programming Languages
• +۵ مورد دیگر

Luís Cruz-Filipe is an Associate Professor at the Department of Mathematics and Computer Science (IMADA) within the Faculty of Engineering at the University of Southern Denmark. His research spans theoretical computer science with a focus on formal methods, programming languages, and distributed systems. He maintains an active research profile with numerous publications in top venues. His research interests primarily center around choreographic programming, formal verification, sorting networks, and logic programming. Cruz-Filipe has made significant contributions to the theoretical foundations of choreographic programming, developing formal frameworks for specifying and verifying distributed communication protocols. His work on sorting networks has advanced the understanding of optimal network structures, while his research in approximation fixpoint theory has provided formal foundations for logic programming semantics. Analysis of his recent publications reveals a strong trend toward formal methods applied to distributed systems, particularly in choreographic programming where he has developed theoretical frameworks, verification techniques, and compilation approaches. His work bridges theoretical computer science with practical implementation concerns, often using proof assistants like Coq to ensure correctness. More recently, he has expanded into sustainability topics with work on green software development. As an academic, Cruz-Filipe has contributed significantly to the theoretical foundations of choreographic programming, producing a cohesive body of work that has helped establish this field. His publications demonstrate a consistent focus on formal methods to address challenges in distributed systems, with increasing attention to practical implementation and verification.

Michael R. Rasmussenمشاهده پروفایل

استاد

• Urban Drainage
• Environmental Engineering
• Hydrology
• +۳ مورد دیگر

Michael R. Rasmussen is a Professor and Head of Academic Council at the Department of the Built Environment within Aalborg University's Faculty of Engineering and Science. His research focuses on urban hydrology, environmental engineering, and the application of meteorological radar for rainfall estimation and stormwater management. He leads the Urban Hydrology Research Group and has been involved in numerous projects addressing water quality, flood mitigation, and sustainable urban infrastructure. Key research contributions include advancing methods for integrating weather radar data with rainfall sensors to improve urban drainage system design and real-time control strategies. He has supervised four PhD students and contributed to over 180 publications, including influential works on combined sewer overflow management and bathing water safety. Rasmussen actively participates in academic and industry collaborations, serving on boards such as Dryp A/S and the Department of the Built Environment. His work bridges hydraulic engineering, environmental science, and data-driven solutions, with applications in Denmark and beyond. Notable projects include optimizing stormwater detention ponds using control algorithms and developing models to predict water quality impacts from fecal contamination in lakes.

Søren Kejser Jensenمشاهده پروفایل

استادیار

• Time Series Management
• Lossy Compression
• Renewable Energy Analytics
• +۵ مورد دیگر

Søren Kejser Jensen is a Tenure Track Assistant Professor at the Department of Computer Science, Aalborg University. He is affiliated with The Technical Faculty of IT and Design and the Daisy - Center for Data-intensive Systems. His research focuses on time series management systems, lossy compression techniques, and their applications in renewable energy analytics, IoT data management, and edge computing. He has contributed to the development of ModelarDB, a scalable model-based time series management system. Key research areas include: Optimizing lossy compression for sensor data and wind turbine analytics Designing scalable database solutions for high-frequency data streams Integrating machine learning with compressed IoT data Exploring freshness metrics in communication systems His publications highlight advancements in edge-cloud architectures, model-based data management frameworks, and holistic analytics for renewable energy systems. Collaborations extend to global projects like 6G wireless systems and AI-driven multi-network deployments.

Jan Martin Zepterمشاهده پروفایل

پژوهشگر ارشد

• Distributed Energy Resources
• Electric Vehicles
• Battery Energy Storage
• +۶ مورد دیگر

Jan Martin Zepter is a Postdoctoral Researcher at DTU's Department of Wind and Energy Systems, specializing in distributed energy resource modeling with emphasis on electric vehicle-grid integration and renewable energy systems. His work directly supports European decarbonization initiatives through projects like EV4EU and INSULAE. His academic journey includes: Ph.D. in Wind and Energy Systems, Technical University of Denmark (2019-2023) M.Sc. in Sustainable Energy Systems, Norwegian University of Science and Technology (2016-2019) Dual M.Sc. in Industrial Engineering (Electrical Engineering focus), Technical University of Berlin (2016-2019) B.Sc. in Industrial Engineering, Technical University of Berlin (2013-2017) Dr. Zepter's research bridges technical and economic domains, developing advanced models for virtual power plants , degradation-aware battery operation , and local flexibility markets . His fingerprint reveals dominant expertise in Electric Vehicle Engineering (100%), Energy Engineering (52%), and Battery Systems (46%), with growing contributions to DC Microgrids and Photovoltaics integration. He pioneers methodologies combining receding horizon optimization with real-world market constraints to enable high renewable penetration. His 15 most recent publications (2024-2025) demonstrate three critical trends: (1) Techno-economic analysis of PV-powered EV charging infrastructure, (2) Degradation-cost integration in battery market participation, and (3) Local flexibility market designs for distribution networks. These works establish novel frameworks for consumer-centric energy markets while addressing grid stability challenges through distributed resources. As an active supervisor, Dr. Zepter guides four PhD candidates—D. M. Santos (degradation-aware V2G), M. Ledro (battery-hybrid systems), A. Malkova (EV-powered plants), and X. Cao (EV management)—across European projects with combined funding exceeding €15M. His research directly contributes to UN Sustainable Development Goals 7 (Affordable Clean Energy) and 13 (Climate Action) through practical solutions for island energy systems and transport electrification. Based at DTU's Wind and Energy Systems department, he collaborates with industry partners on real-world demonstrations including Bornholm Island's virtual power plant and Madeira's replication initiatives, focusing on scalable solutions for renewable integration in constrained grids.

• Biostatistics
• Public Health
• Machine Learning
• +۳ مورد دیگر

Vi Thanh Pham serves as an Assistant Lecturer in the Department of Public Health's Section of Biostatistics at the University of Copenhagen, Denmark. Based at Øster Farimagsgade 5, Copenhagen, Pham specializes in developing advanced statistical methodologies for public health applications with particular focus on cardiovascular, sleep, and mental health domains. Research expertise spans: Biostatistical modeling of complex health data Deep learning applications in medical signal processing Digital phenotyping using smartphone and wearable technologies Epidemiological analysis of cardiovascular risk factors Integration of multi-source health data streams Recent publications (2022-2025) demonstrate a cohesive research trajectory combining functional data analysis, machine learning, and population health studies. Key contributions include novel deep learning frameworks for medical signal alignment, cardiovascular risk prediction models, and digital mental health monitoring systems utilizing high-resolution behavioral data. No scientific awards are documented in current records. Information regarding student supervision and research funding remains unspecified. Active involvement in the SmartSleep Study highlights collaborative work on integrating survey, clinical, and digital tracking data for comprehensive sleep health research.

Anders Bach Pedersenمشاهده پروفایل

مدرس پاره‌وقت

• Musicology
• Cultural Studies
• Platform Studies
• +۴ مورد دیگر

Anders Bach Pedersen is a Ph.D. student at the Department of Arts and Cultural Studies, University of Copenhagen, and a part-time lecturer at the Rhythmic Music Conservatory since 2014. His research examines music genres on TikTok through the lens of aesthetic, economic, and political dynamics in platform ecosystems. As an active composer and drummer with 15 years in Denmark's experimental music scene, he has collaborated with artists including MØ, Keiji Haino, and Sleep Party People while managing the Wetwear record label. His academic credentials include: MSc in Digital Design and Communication (IT University of Copenhagen, 2017) BMus in Music Performance (Rhythmic Music Conservatory, 2013) Contemporary Jazz studies (The Collective School of Music, 2009) Max/MSP/electro-acoustic composition training (IRCAM, 2009) Pedersen's research bridges musicology, cultural studies, and platform theory with specialization in electronic music aesthetics, generative systems, and socio-political dimensions of sound. His work interrogates how digital infrastructures reshape musical expression, from Spotify's algorithmic curation to TikTok's genre formation, while maintaining strong connections to practical music production through video game scoring and experimental performance. Publication analysis reveals an evolving trajectory from foundational sound synthesis research toward contemporary platform studies. Core themes include algorithmic influence on musical taste, environmental soundscapes, and computational creativity in improvisation. His scholarship consistently examines power structures within music technology, particularly how corporate platforms mediate cultural production and aesthetic values across streaming services and social media. No academic advisees or research grants are documented in available sources.

• Digital media and communication
• Media sociology
• Media policy and regulation
• +۷ مورد دیگر

Rasmus Helles is an Associate Professor in the Department of Communication at the University of Copenhagen's Faculty of Humanities. His academic career spans over a decade at the university, where he has progressed from Assistant Professor (2009-2012) to his current position as Associate Professor since 2012. He holds a PhD (2009) and MA (2005) in Media Studies, both from the University of Copenhagen. His primary research interests focus on digital media and communication, media sociology with special emphasis on digital media, and media policy and regulation. His current research centers around the 'Privacy Lost' project, which investigates the development of commercial surveillance of web users globally. Previously, he co-led 'The Peoples' Internet' project examining internet development across the US, Europe, and China. He is a member of the Center for Tracking and Society and has participated in multiple significant research projects including 'The mediatization of culture' and 'MeCetes' on European television fiction exchange. His publication trends reveal a consistent focus on digital transformation, surveillance infrastructure, and comparative media studies. Recent work shows increasing emphasis on tracking technologies, commercial surveillance systems, and the cultural consequences of digital platforms. His research spans both theoretical and empirical approaches, with strong methodological rigor in analyzing digital communication phenomena. Helles has served in important public roles including as research representative in the Media Council for Children and Young People (2019-2023) and as a member of the Book Panel under the Ministry of Culture (2019-2022). His work has received funding from prestigious sources including the Villum Foundation, Carlsberg Foundation, and Danish Council for Independent Research. His teaching covers a broad range of digital media topics at BA, MA, and PhD levels, with specializations in big data analysis, media and communication theory, digital transformation of legacy media, media use studies, media sociology, and media regulation. He has extensive experience supervising students across these domains and participates actively in academic service through editorial work and peer review.

Klavs Martin Sørensenمشاهده پروفایل

دانشیار

• Process Analytical Technology
• Food Quality and Safety
• Vibrational Spectroscopy
• +۷ مورد دیگر

Klavs Martin Sørensen is an Associate Professor at the Department of Food Science, Faculty of Science, University of Copenhagen. His research focuses on applying advanced chemical sensors combined with Process Analytical Technology (PAT) and Deep Learning/AI to optimize food manufacturing processes, ensuring high food quality and safety while minimizing environmental footprint. His educational background includes: Ph.D. in Food Technology, University of Copenhagen (2015) Participant in the DNATF-funded Pasteur-program (project manager education), Harvard University (2012) Engineering Technician, Electronics, Frederiksberg Tekniske Skole, Denmark (1998) With over 20 years of industry experience in developing measurement equipment for the food industry prior to obtaining his PhD, Professor Sørensen brings a unique practical perspective to his academic work. His research centers on vibrational spectroscopy, chemometrics, gas chromatography & mass spectrometry, and sustainable food production technologies. He has developed expertise in applying spectral sensors in online scenarios for process optimization, with special focus on Quality by Design and Process Analytical Technology frameworks. His recent publications demonstrate a strong focus on applying spectroscopic techniques and data analysis methods to food quality assessment across various food matrices including meat, cheese, wine, and protein side streams. His work bridges the gap between theoretical chemometrics and practical industrial food manufacturing applications. His notable awards include: Niels Foss Talent Prize (2019) Course of the year award by Department of Food Science for Rapid Food Analysis Method (2019) Nomination as Faculty teacher of the year by B.Sc. students (2020) Professor Sørensen has led multiple significant research projects including Better utilization of protein side streams (2016-2028), QC-CREW (2018-2020), and SayCheese (2018-2021). He has served as a censor for the BSc/MSc course Quantitative Food Spectroscopy since 2009 and was responsible for the course Rapid Food Quality Analysis Methods starting in 2017. He was a key organizer for the 2017 International Conference On Near-Infrared Spectroscopy (ICNIRS 2017). His technical expertise spans vibrational spectroscopy apparatus design, chemometric tools (PCA, PLS, PLSDA), GC/MS techniques, ultrasonic measurement and imaging, and artificial intelligence modeling for time series data. He also possesses extensive software development skills with over 20 years' experience in C++, C, Python, MATLAB, and various database systems, which he applies to real-time on-line data processing systems for food manufacturing.

Mads Møller Tommerup Andersenمشاهده پروفایل

استادیار

• Media Industries
• Creativity
• Reality TV
• +۷ مورد دیگر

Mads Møller Tommerup Andersen is a Tenure Track Assistant Professor at the Department of Communication, University of Copenhagen, Denmark. His research focuses on media industries' creative processes, including TV production, video games, and podcasts, with a particular emphasis on creativity, autonomy, time management, streaming services, reality TV, and public service media. He chairs the Media Industries division under NordMedia and serves on the Danish Radio and Television Board (2025-2028). Education: PhD in 2019 from University of Copenhagen focusing on digitalisation and idea development at DR3 youth TV channel Research interests span media systems analysis, creative labor conditions, and the intersection of digital technologies with media production. His 2022 book Researching Creativity in Media Industries provides methodological frameworks for studying creative processes in media organizations. Recent articles explore influencer autonomy, streaming platform strategies, and work-life balance in creative industries. He actively participates in academic networks like NordMedia and contributes to media policy discussions through roles in Denmark's regulatory bodies. His publications analyze topics ranging from algorithmic content curation to economic conditions of TV series production, reflecting a transdisciplinary approach to media industry studies.

• Electric Vehicle Technologies
• Battery Energy Systems
• Power System Integration
• +۱۱ مورد دیگر

Mattia Marinelli is a Professor in E-mobility in Energy Systems at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). He leads the E-mobility and Prosumer Integration section and is deeply involved in EU-funded research projects including AHEAD, EV4EU, and FLOW. He holds a PhD in Electrical Engineering from the University of Genoa and has been at DTU since 2012. Master Degree in Electrical Engineering, University of Genoa (2004–2007) PhD in Electrical Engineering, University of Genoa (2008–2011) His research focuses on electric vehicle integration, bidirectional charging, distributed energy resources, and grid flexibility. He is passionate about bridging theoretical research with real-world applications, especially in sustainable energy systems and electromobility. His work spans modeling, control, and economic analysis of EV-grid interactions, battery systems, and hybrid energy solutions. The recent publications highlight a strong trend toward vehicle-to-grid (V2G), smart charging, and integration of EVs with renewable energy sources like photovoltaics. The research emphasizes grid services, techno-economic analysis, battery degradation, and optimization of EV aggregation for market participation. Key subfields include frequency regulation, load balancing, and user-centric energy management. AEG Elektronprisen 2024 Best paper award of the IEEE PES ISGT-Europe 2021 conference Mattia Marinelli supervises numerous PhD students and leads major research grants, including Horizon Europe and H2020 projects with multi-million-euro budgets. He teaches M.Sc. and PhD courses in wind integration, distributed energy technologies, and hybrid power plants. He is actively involved in IEEE and conference leadership, contributing to the advancement of smart grid technologies. He leads the E-mobility and Prosumer Integration section at DTU, which has grown to include 34 researchers from 16 countries. The team conducts internationally recognized research in EV technologies, charging infrastructure, power electronics, and hybrid AC-DC systems, working closely with industry and European partners.

Inge Li Gørtzمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• Design and Analysis of Algorithms
• +۷ مورد دیگر

Inge Li Gørtz is a Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where she leads research in algorithms and data structures. She is affiliated with the Algorithms, Logic and Graphs section and has been a principal investigator on externally funded research projects. She also serves as chairman of the Danish Society for Computer Science since 2009. Research Interests: Her work centers on the design and analysis of algorithms, with a focus on approximation algorithms, pattern matching, graph algorithms, and compressed data representations. She investigates efficient query processing, string indexing, and algorithmic challenges in highly repetitive data, including applications in bioinformatics and data streams. The recent publications highlight a strong trend in theoretical and practical algorithm design, particularly in string indexing, compressed automata, and dynamic data structures. These works span venues like SOFSEM and STACS, emphasizing innovations in sublinear query time, sliding window models, and memory-efficient representations. Postdoc stipend from Carlsberg Foundation (2006–2008) for 'Approximation of Transportation on Demand Problems', kr 865,183 Advising and Grants: She actively supervises multiple PhD students on projects such as biomedical image segmentation using graph cuts, hierarchical compression of DNA data, and dynamic graph algorithms. She has served as main or co-supervisor in several funded PhD projects. She has been principal investigator on a Carlsberg Foundation grant and has participated in multiple Danish Council for Independent Research projects. Labs and Teams: She is a core member of the Algorithms, Logic and Graphs (ALG) section at DTU, contributing to a vibrant research environment focused on theoretical computer science and algorithmic problem solving.

• Climate Science
• Volcanology
• Glaciology
• +۴ مورد دیگر

Eliza Cook is an Assistant Professor at the University of Copenhagen , affiliated with the Physics of Ice, Climate and Earth group under the Niels Bohr Institute . Her work focuses on integrating glaciology , volcanology , and climate science using ice core and tephra analysis.

• Algorithms
• Computational Complexity
• Theoretical Computer Science
• +۲ مورد دیگر

Anders Aamand is a Postdoc at the Department of Computer Science , University of Copenhagen , affiliated with the Faculty of Science . His research focuses on algorithms and computational complexity, particularly in computational geometry, hashing techniques, and theoretical guarantees for algorithmic efficiency.

• Programming language semantics
• Computational effects
• Formal verification
• +۲ مورد دیگر

Andrzej Filinski is an Associate Professor at the Programming Languages and Theory of Computation section within the Department of Computer Science at the University of Copenhagen. His research focuses on applied programming-language semantics, particularly computational effects and machine-verifiable reasoning about programs. University: University of Copenhagen Department: Department of Computer Science Research Interests: Operational semantics of monadic effects, game-theoretic program contracts, formal verification, concurrency, distributed systems, and code certification. Recent Publications include work on information flow logic using partial equivalence relations (2024), functional approaches to regular expression matching (2021), and streaming nested data parallelism on multicore systems (2016). His research spans theoretical foundations and practical applications in programming languages and computational theory.

Mikkel Thorupمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• Hash Functions
• +۳ مورد دیگر

Mikkel Thorup is a Professor at the Department of Computer Science, University of Copenhagen, and a VILLUM Investigator heading the Basic Algorithms Research Copenhagen (BARC) Center supported by a €5.3 million grant from the VILLUM Foundation. Born in 1965, he holds a D.Phil. from Oxford University (1993). Prior roles include positions at the University of Copenhagen (1993–1998) and AT&T Labs-Research (1998–2013). His research focuses on algorithms, data structures, and hashing, with a particular emphasis on unifying theoretical and practical aspects. Awards include the ACM Fellowship, Villum Kann Rasmussen Award, and Fulkerson Prize. Education: D.Phil. in Computer Science, Oxford University (1993). Earlier positions: University of Copenhagen (1993–1998), AT&T Labs-Research (1998–2013). Research interests encompass algorithm design, data structure optimization, and hashing techniques. His work bridges theory and practice, addressing problems like graph clustering, optimization, and efficient sampling. He is known for contributions to correlation clustering, hash function analysis, and dynamic graph algorithms. Awards include the 2011 MAA Robbins Award, 2015 Villum Kann Rasmussen Award (Denmark’s top research prize), and 2021 AMS-MOS Fulkerson Prize. His Erdős number is 2, and he boasts an H-index above 60 with over 200 publications in top venues like STOC, FOCS, and SODA. Advising and grants: Leads BARC since 2017, funded by VILLUM Foundation. His research has influenced both academia and industry, particularly in telecommunications and algorithmic efficiency. Collaborates internationally, with a focus on foundational algorithmic challenges. Labs/Teams: Founder and head of BARC, fostering research in algorithms and their applications. Engages in interdisciplinary work combining theory with practical implementations.