جست‌وجوی استاد و پژوهشگر

Vera Hemmelmayrمشاهده پروفایل

دانشیار

• Combinatorial Optimization
• Logistics
• Operations Research
• +۷ مورد دیگر

Vera Hemmelmayr is an Associate Professor at the Institute for Transport and Logistics Management, School of Business, Vienna University of Economics and Business (WU Vienna). She earned her PhD from the University of Vienna and completed her habilitation at WU. Prior to her current role, she held postdoctoral positions at the University of Vienna and CIRRELT in Montreal, and conducted research collaborations at Georgia Institute of Technology, University of Bologna, and Northwestern University. Research Interests: Vera's research centers on combinatorial optimization in logistics, with emphasis on enhancing solution methods and real-world applications. She specializes in metaheuristics, parallel algorithms, and hybrid exact-heuristic techniques. Her work addresses critical challenges in waste collection, city logistics, nonprofit logistics collaboration, and sustainable urban transport—particularly the integration of cargo bikes into freight distribution networks. Publication Trends: Her recent publications reflect a consistent focus on vehicle routing problems, green logistics, and optimization under uncertainty. Themes include two-echelon delivery, drone-truck collaboration, stochastic demands, and multi-depot systems. Methodologically, she advances matheuristics, adaptive large neighborhood search, and simulation-optimization frameworks applied to urban and humanitarian logistics. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: While no students are listed, Vera has served as project leader for multiple research initiatives funded by the Austrian Science Fund (FWF) and the Austrian Research Promotion Agency (FFG), indicating leadership in securing competitive grants and managing research teams. Labs and Teams: Although no formal lab name is given, her affiliation with the Institute for Transport and Logistics Management suggests active participation in a research group focused on logistics optimization, likely involving collaboration with national and international partners in both academia and industry.

Cumhur Erkutمشاهده پروفایل

دانشیار

• Virtual Reality
• Embodied Interaction
• Augmented Reality
• +۴ مورد دیگر

Cumhur Erkut is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology, part of The Technical Faculty of IT and Design. His work focuses on Embodied Interaction, Virtual Reality, and Sound and Music Computing. He leads the Multisensory Experience Laboratory and has contributed to projects like MAT-DYN-NET (mathematical modeling for network dynamics) and SooC (sound in urban environments). Research interests include sonic interactions in virtual environments, movement-sound relationships, and audio-based human-machine interaction. He has published over 100 articles, with recent work on AI-generated speech in VR, voice conversion algorithms, and multimodal improvisation systems. Awards include the 2018 Best Student Paper Award and a 2015 3D User Interface contest win. His editorial roles include co-editing the Journal of Somaesthetics and serving on the Audio Engineering Society board. Projects emphasize applied research in wearable tech, urban soundscapes, and interactive systems for health and creativity.

Troels Haugbølleمشاهده پروفایل

دانشیار

• Star Formation
• Planet Formation
• Plasma Physics
• +۵ مورد دیگر

Troels Haugbølle is an Associate Professor in the Astrophysics and Planetary Research group at the Niels Bohr Institute, University of Copenhagen. His work focuses on computational astrophysics related to star and planet formation, with particular expertise in numerical modeling of protostellar systems, disk dynamics, and plasma physics applications in astrophysical contexts. Research Interests: AMR models of star formation Particle-in-cell models Plasma physics Dust dynamics in protostellar environments Astro-chemistry integration in hydrodynamics Forward modeling to link simulations with observations His recent research shows a strong focus on protoplanetary disk formation mechanisms, particularly through Bondi-Hoyle accretion, and the evolution of angular momentum in young stellar systems. He has developed advanced computational methods including GPU-accelerated MHD simulations and Monte Carlo approaches for plasma physics. His work increasingly integrates multi-scale modeling to connect large-scale molecular cloud dynamics with the formation of planetary systems. Professional Activities: Maintains the starformation.hpc.ku.dk research platform Active contributor to major astrophysics journals including Nature Astronomy, Astronomy & Astrophysics, and Monthly Notices of the Royal Astronomical Society Collaborates internationally with researchers across Europe and beyond Dr. Haugbølle's work has been featured in 14 news outlets, blogged about by 2 sources, and shared by multiple social media users, demonstrating the impact of his research on the broader scientific community and public understanding of star and planet formation processes.

Ekkart Kindlerمشاهده پروفایل

دانشیار

• Model-Based Software Engineering
• Process Mining
• Petri Nets
• +۴ مورد دیگر

Ekkart Kindler is an Associate Professor in the Department of Applied Mathematics and Computer Science at DTU Compute, Technical University of Denmark. His research focuses on model-based software engineering, process mining, and road condition assessment using vehicle sensor data. He leads the Competence Centre for Model-Based Software Engineering, supporting industry adoption of advanced software development methodologies. Education: M.Sc. (1990), Ph.D. (1995) from Technische Universität München; Habilitation in Computer Science (2001) from Humboldt-Universität zu Berlin. He held visiting professorships at German universities (2000–2007) and has extensive experience in formal methods, business process modeling, and Petri nets. Research interests include declarative process modeling, complexity metrics for cognitive load assessment, and the integration of formal methods into industrial software development. His work contributes to UN Sustainable Development Goals related to sustainable infrastructure (SDG 9) and innovation (SDG 9). Notable collaborations include road condition assessment projects using vehicle sensor data (LiRA-CD dataset) and contributions to Petri net standards (PNML). He has supervised PhD students such as K. I. Simonsen (protocol software) and A. Skar (road assessment). Grants and projects: Live Road Assessment with Vehicle Sensors (2019–2022), Model Transformation Tools (2013–2016), and waste management modeling (2012–2016). Active in open-source datasets and tool development for indoor climate control (climify.org).

Rafael Lomeu Gomesمشاهده پروفایل

استادیار

• Sociolinguistics
• Multilingualism
• Language Policy
• +۵ مورد دیگر

Rafael Lomeu Gomes serves as Assistant Professor at the Centre for Internationalisation and Parallel Language Use (CIP) within the Faculty of Humanities at the University of Copenhagen, with concurrent guest researcher appointments at UiT The Arctic University of Norway and the University of Oslo. His scholarly work critically examines language's role in perpetuating or challenging social inequities across gender, class, and nationality in multilingual immigrant contexts. His educational trajectory culminates in a PhD in Sociolinguistics from the University of Oslo (2020), where his dissertation investigated Language practices and ideologies in Brazilian-Norwegian multilingual families Family multilingualism through decolonial frameworks Dr. Lomeu Gomes' research program spans four interconnected domains: language ideologies in multilingual households, media representations of youth language in urban spaces, multilingual practices in digital higher education, and language's impact on immigrant-background students' educational pathways. His scholarship is fundamentally anchored in decolonial and Southern epistemological approaches that challenge Eurocentric paradigms in sociolinguistics, emphasizing collaborative knowledge production with marginalized communities. Analysis of his 2022-2024 publications reveals a pronounced scholarly trajectory toward decolonial applications in language studies, with recurring themes including the intersection of coloniality and language policy, critical examinations of media discourse on migration, and innovative investigations into AI's impact on academic literacies. His work consistently bridges theoretical rigor with practical implications for equitable language education and policy. As an academic supervisor, he actively engages in doctoral examination processes and workshop leadership, notably through the AI-UNI research project examining student AI usage in higher education. His collaborative network spans Norwegian institutions and international decolonial research collectives, supported by ongoing institutional affiliations and research grants focused on multilingualism in educational contexts. Dr. Lomeu Gomes operates within the Centre for Internationalisation and Parallel Language Use (CIP) at the University of Copenhagen, maintaining dynamic research teams with UiT The Arctic University of Norway and the University of Oslo. His current projects involve interdisciplinary collaborations exploring AI-mediated academic practices, decolonial approaches to family language policy, and critical analyses of media discourse on migration, with particular emphasis on creating translanguaging-friendly educational environments.

Stefano De Dominicisمشاهده پروفایل

دانشیار

• Sport and Health Psychology
• Behaviour Change for Healthy Lifestyles
• Third Generation Coaching
• +۵ مورد دیگر

Stefano De Dominicis serves as Associate Professor in Sport and Health Psychology at the Department of Nutrition, Exercise and Sports (NEXS) within the Faculty of Science at the University of Copenhagen. Joined NEXS in November 2017 after holding positions at LUISS University of Rome, California State University San Marcos, University of Lausanne, Claremont Graduate University, and Sapienza University of Rome. Licensed Sport and Clinical Psychologist with specialization in Metacognitive Interpersonal Therapy and Cognitive-Behavior Therapy. Educational background includes: Ph.D. in Social Psychology from Sapienza University of Rome (2014) Psychotherapist certification in Cognitive-Behavior Therapy from PTS-Psicoterapia Training School (2020) Research focuses on leveraging psychological processes to enhance athletic/non-athletic performance, examining exercise engagement motivations, and analyzing sport's impact on cognition and behavior. Key areas include: Behavior change for healthy lifestyles using technology Third Generation Coaching methodologies Stress management in high-performance contexts Youth talent development systems His work bridges sport psychology with broader applications in business and performance arts. Recent publications (2023-2025) demonstrate strong emphasis on green exercise benefits, workplace wellness programs, and coaching innovation. Articles consistently integrate environmental psychology with practical interventions, showing methodological progression from theoretical frameworks to randomized controlled trials. Dominant subfields include restorative environment assessment, menopausal health interventions, and flood risk coping strategies. Teaching portfolio includes: Bachelor courses: Sport Psychology and Identity; Coaching and Team Development Master's course: Psychology of Competitive Sports Ph.D. supervision on environmental impacts on exercise engagement and sport psychometrics Actively conducts applied work through individual/group coaching (50 hours/year) and guest lectures at University of Rome 'Foro Italico' (10 hours/year), maintaining strict separation from university duties.

Magnus Madsenمشاهده پروفایل

دانشیار

• Programming Languages
• Compilers
• Type Systems
• +۴ مورد دیگر

Magnus Madsen is an Associate Professor at the Department of Computer Science, Aarhus University. He specializes in programming language design, compilers, and type and effect systems, and is the lead developer of the Flix programming language. His research focuses on advancing static analysis techniques and declarative language constructs for effectful and data-driven programming. Research Interests : - Programming language design - Type systems and effect systems - Static program analysis - Datalog and declarative programming - Compiler optimization and implementation Awards & Grants : - 2023: Sapere Aude Grant (Independent Research Fund Denmark) - 2022: Dahl-Nygaard (Junior) Prize (ECOOP) - 2022: STEM Grant (Stibo Foundation) - 2021: Amazon Research Award (collaboration with Jaco van de Pol) - 2020: DFF Project One (Independent Research Fund Denmark) Advising & Collaboration : - Supervises four current PhD students (listed above). - Active in academic service: PC member for ECOOP, OOPSLA, PLDI, and other conferences. - Collaborates with industry (e.g., Google, Systematic) and academia on tool development and language research. Labs & Projects : - Core contributor to the Flix programming language and the CASA (Center for Advanced Software Analysis) initiative. - Involved in interdisciplinary projects combining declarative programming with domain-specific applications.

Gökçe Aydosمشاهده پروفایل

استادیار

• Computer Architecture
• Fault-Tolerant Systems
• Embedded Systems
• +۳ مورد دیگر

Gökçe Aydos is an Assistant Professor at the Department of Engineering Technology and Didactics Energy Technology and Computer Science, Technical University of Denmark. Her research focuses on fault-tolerant computing, FPGA-based systems, and hardware acceleration for machine learning. She holds a prominent position in embedded systems reliability and space computing domains. Her work emphasizes error detection mechanisms in hardware architectures, with notable contributions in parity-based error solutions and soft error mitigation techniques. Recent studies investigate trends in machine learning hardware design and scalable on-board computer systems for scientific missions. Research themes include: Soft error detection in FPGAs Fault-tolerant spaceborne computing Hardware-software co-design for reliability Machine learning accelerators Publications span from 2012 to 2023, showing sustained focus on embedded system reliability with applications in aerospace and medical imaging. No scientific awards have been listed in available records. Advising and grants information is not explicitly stated in provided materials. Current affiliations include affiliation with DTU's engineering technology programs and potential involvement in medical imaging instrumentation projects through digital PET research.

Bernd Dammannمشاهده پروفایل

دانشیار

• High-Performance Computing
• Scientific GPU Computing
• Parallel Programming
• +۳ مورد دیگر

Bernd Dammann is an Associate Professor in Scientific Computing at the Technical University of Denmark (DTU) , Department of Applied Mathematics and Computer Science. In parallel he serves as Scientific Lead & Architect in the DTU Computing Center (DCC) and co-founded DTU’s GPUlab in 2007, giving him dual roles in both academic research and institutional HPC services. Education Dipl.Phys. in Statistical Physics, University of Mainz, 1992 PhD in Physical Chemistry, DTU, 1996 Research interests Over almost three decades Dammann has focused on computational methods for large-scale scientific problems. His core expertise lies in: High-Performance Computing and parallel programming paradigms (OpenMP, MPI, GPU) Scientific GPU computing and many-core architectures Application tuning and performance optimization for heterogeneous systems Uncertainty quantification, Monte-Carlo methods, and real-time control applications in biomedicine (diabetes technology) Ultrasound beamforming and advanced imaging techniques Publication trends His 34 publications (1996-2025) trace a clear evolution from theoretical physics and surface-science simulations to GPU-accelerated engineering and biomedical systems. Recent work clusters around real-time biomedical control (artificial pancreas, virtual clinical trials) and high-resolution ultrasound imaging, all leveraging GPU acceleration and high-performance computing to achieve real-time performance. Scientific awards & recognition Contributor to 1 patent family and widely downloaded technical reports (>10 k downloads for OpenCL tutorial) Consistently high citation counts on key optimization and control papers (e.g., 93 citations for 2014 Management Science article) Teaching, supervision & grants He teaches or co-teaches multiple DTU courses: High-Performance Computing , Large-scale Computations , Python & HPC , Mathematical Software , and HPC with FORTRAN . While individual students are not named, his role in GPUlab and DCC implies ongoing PhD and MSc supervision, and his projects list six active collaborations including EU and national HPC infrastructure grants. Labs & teams Dammann co-founded GPUlab (2007) and presently leads the HPC architecture team in the DTU Computing Center , a central facility supplying cluster resources to the entire university.

Charlotte Masonمشاهده پروفایل

دانشیار

• Early universe cosmology
• Galaxy formation and evolution
• Reionization era
• +۶ مورد دیگر

Charlotte Mason is an Associate Professor at the Niels Bohr Institute, University of Copenhagen, where she is a key member of The Cosmic Dawn Center (DAWN). Her research focuses on the earliest phases of galaxy formation and cosmic reionization, leveraging cutting-edge observations from the James Webb Space Telescope (JWST). Based at Jagtvej 155A in Copenhagen, she maintains an active research program with numerous high-impact publications in leading astrophysics journals. Dr. Mason's research interests center on the cosmic dawn and reionization era, with particular expertise in high-redshift galaxy observations, Lyman-alpha emitters, and the development of ionized bubbles in the early universe. Her work bridges observational astronomy and theoretical cosmology, examining how the first galaxies formed and evolved. She specializes in analyzing JWST data to probe the properties of galaxies at redshifts z>6, investigating their star formation histories, metallicities, and contributions to cosmic reionization. Her research often focuses on 'little red dots' - a population of faint active galactic nuclei at high redshift - and their role in shaping the early universe. Dr. Mason's recent publications reveal a strong emphasis on JWST survey data analysis, particularly from programs like BEACON, BoRG-JWST, and GLASS-JWST. Her research spans observational techniques including pure-parallel imaging, NIRSpec spectroscopy, and gravitational lensing studies. She frequently collaborates with international teams to interpret the flood of new data from JWST, addressing fundamental questions about galaxy formation in the first billion years after the Big Bang. Her scientific contributions include significant work on mapping reionization bubbles, understanding the connection between galaxy overdensities and ionized regions, and investigating bursty star formation in the earliest galaxies. Dr. Mason's research has been widely cited and has appeared in top astrophysics journals including the Astrophysical Journal and Astronomy & Astrophysics. Dr. Mason maintains an active online presence through her personal website (https://charlottenosam.github.io) and professional profiles. She is deeply engaged with the observational cosmology community, contributing to major JWST survey initiatives and collaborating with researchers worldwide to push the boundaries of our understanding of the early universe.

• Database Systems
• Distributed Systems
• Event-Based Systems
• +۵ مورد دیگر

Yongluan Zhou is a Professor at the Department of Computer Science , University of Copenhagen , where he co-heads the Data Management Systems Lab (DMS Lab) and serves as Head of Studies for the MSc in Computer Science . His academic journey includes a PhD from the National University of Singapore (NUS) (2007), a postdoc at ETH Zürich (2007–2008), and prior roles as Associate Professor at University of Southern Denmark (SDU) (2008–2017). PhD in Computer Science, National University of Singapore (2002–2007) Postdoc, ETH Zürich (2007–2008) Zhou's research focuses on database systems and distributed systems , with recent emphasis on event-driven systems , scalable stream processing , and big graph analysis . His work bridges theoretical foundations and practical implementations, addressing challenges in data consistency, fault tolerance, and resource optimization in cloud and microservice environments. The trends in his 15 most recent publications (2025–2024) highlight advancements in asynchronous choreographies , blockchain consensus protocols , GPU-accelerated graph processing , and microservices data management . These works integrate formal methods with empirical validation, emphasizing scalability, security, and efficiency in distributed environments. He actively contributes to academic governance as a member of the DEBS Steering Committee (2024–), SSDBM Steering Committee (2022–), and the EDBT Association Executive Board (2020–).

Cosmin Eugen Oanceaمشاهده پروفایل

دانشیار

• Programming Language Design and Implementation
• Compiler Optimization
• Automatic Parallelization
• +۷ مورد دیگر

Cosmin Eugen Oancea serves as an Associate Professor in the Programming Languages and Theory of Computation section at the Department of Computer Science (DIKU), University of Copenhagen, Faculty of Science. His academic profile shows active engagement in research, teaching, and collaboration within the computer science community. Education: PhD in Computer Science from Western University (completed November 20, 2005) Dissertation title: "Parametric Polymorphism for Software Component Architectures and Optimizations" Oancea's research spans multiple domains within computer systems, with primary focus on static, dynamic and hybrid techniques for automatic parallelization (optimizing compilers), programming language design and implementation, memory management, and computer algebra. His recent work demonstrates strong connections between functional programming, array languages, and high-performance computing, with applications in financial modeling, automatic differentiation, and time series analysis. He has made significant contributions to the Futhark programming language ecosystem, focusing on compiler optimizations and performance tuning for GPU architectures. His publication record shows consistent output in top-tier venues including SC (International Conference for High Performance Computing), IFL (Symposium on Implementation and Application of Functional Languages), and ARRAY (Workshop on Libraries, Languages and Compilers for Array Programming), with a notable concentration of publications from 2021-2023. His research demonstrates interdisciplinary connections between computer science theory and practical applications in finance, environmental data analysis, and machine learning infrastructure. Oancea maintains active international collaborations across multiple countries, as indicated by the network visualization of his research partnerships. His work bridges theoretical computer science with practical implementations, particularly in the domain of array programming and compiler optimization for parallel architectures.

• Abstract interpretation
• Termination analysis
• Formal languages
• +۱۳ مورد دیگر

James Emil Avery is an Associate Professor at the Department of Computer Science, Faculty of Science, University of Copenhagen. His research spans abstract interpretation, termination analysis, and quantum chemistry applications using Coulomb Sturmians. He actively contributes to program analysis, computational methods in physics, and discrete mathematics. Research areas: Formal languages, operator algebra, quantum theory, and computational nanoscience Academic activities: VILLUM Young Investigator Program (2017), Editor for IET Nanobiotechnology (2017-2021) Technical publications: 15+ works on quantum chemistry methods, graph theory, and parallel computing His recent work includes simulating fullerene formation, solving wave equations on non-Euclidean surfaces, and developing symmetry-adapted basis sets. He has presented at international conferences on topics ranging from wave equation modeling to carbon nanostructure analysis. Scientific Awards: VILLUM Young Investigator Program grant recipient As an active researcher, Avery has participated in collaborative projects like the ERC Starting Grant evaluation and contributed to programming language development through the Bohrium framework. His editorial work at IET Nanobiotechnology demonstrates commitment to scientific peer review.

• 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.

Maja Hanne Kirkebyمشاهده پروفایل

دانشیار

• Energy-efficient Software
• Program Analysis
• Computer Science
• +۳ مورد دیگر

Maja Hanne Kirkeby is an Associate Professor at Roskilde University , Denmark, affiliated with the Department of People and Technology Programming, Logic and Intelligent Systems . Her research focuses on energy efficiency in software and hardware systems, program transformation, and sustainable IT development. She has contributed to projects like Green IT-procurement and Energicertificeret softwareudvikling og drift . Her work bridges theoretical computer science and practical applications, emphasizing energy-aware software development. Key research areas include static communication analysis for hardware design, reversible computing, and optimizing Haskell compilers for energy efficiency. She actively participates in initiatives such as the CERCIRAS COST Action to promote resource-aware societies. Dr. Kirkeby has been involved in organizing events like the CERCIRAS Training School 2022 and serves on conference committees for programming language design and implementation. Her media engagements highlight concerns about AI's escalating energy consumption in data centers, advocating for stricter industry standards. Her research outputs emphasize empirical analysis and interdisciplinary collaboration, with publications in venues like Computer Science and Information Systems and ACM Symposium on Applied Computing .