جستجوی استاد راهنمای دانشگاهی

David Jakobsenمشاهده پروفایل

دانشیار

• Logic
• Tense Logic
• Philosophy of Time
• +۹ مورد دیگر

David Jakobsen is an Associate Professor in the Department of Communication and Psychology at Aalborg University, Faculty of Social Sciences and Humanities. His work bridges logic, philosophy, and digital technology, with a focus on tense logic and its applications in artificial intelligence and critical thinking. He is affiliated with several research groups, including the Purposeful Technology Lab, The Logic of Time and Modality, Tid, Eksistens og Naturforbundethed, and InDiMedia (Centre for Interactive Digital Media & Experience Design). His research interests include tense logic, the philosophy of time, Arthur Norman Prior’s legacy, metaphysics, philosophical theology, and the use of generative AI in education and reasoning. Jakobsen co-leads the Arthur Norman Prior Archive, preserving and analyzing the work of the foundational figure in tense logic. Recent publications show a strong trend toward integrating AI with human reasoning, particularly in educational contexts, examining how systems can support critical thinking. His work spans formal logic, philosophy, theology, and digital learning environments, reflecting a deeply interdisciplinary approach. Scientific Awards: Best Paper Award (25 Nov 2020) – shared with Peter Øhrstrøm, Thomas Ploug, Stine Thorvaldsen, and Ulrik Sandborg-Petersen He has been involved in research projects such as 'Educational and Entrepreneurial co-operation in Future City' (2021–2023) and 'Building Educational Co-operation in Smart City' (2018–2019), focusing on innovation in education and smart urban development. Jakobsen has advised and collaborated on educational initiatives, though no formal students are listed. He has organized and presented at academic conferences and contributed to public discourse through media engagement on topics including technology, religion, and societal development. He is active in multiple labs and research centers, particularly those exploring digital media, time logic, and human-centered technology.

Vilhjálmur Nielsenمشاهده پروفایل

پژوهشگر

• Building Physics
• Energy Systems
• District Heating
• +۷ مورد دیگر

Vilhjálmur Nielsen is a Researcher in the Department of Civil and Mechanical Engineering Energy and Services at the Technical University of Denmark (DTU). His work focuses on sustainable building technologies, energy systems, and renewable energy applications, with particular expertise in building physics and heat transfer systems for extreme environments including Arctic regions. Nielsen holds a Ph.D. in Engineering from DTU (1994-1998) and an MSc in Engineering from DTU (1988-1994). His multilingual capabilities in Faroese, Danish, English, and Norwegian/Swedish support his international research collaborations, particularly in Nordic and Arctic contexts. His research spans building physics, energy systems, district heating, sustainable building design, heat exchangers, renewable energy, Arctic building construction, and energy efficiency. Nielsen's work addresses practical engineering challenges in sustainable building technologies, with special attention to water-energy nexus solutions like rainwater harvesting for cooling systems and geothermal applications through borehole heat exchangers. Analysis of Nielsen's publications reveals a consistent focus on practical applications of sustainable energy technologies in buildings across different climates. His work bridges fundamental heat transfer research with applied projects addressing specific building challenges, showing particular expertise in adapting energy systems to extreme environments like the Arctic and the Faroe Islands. Arctic Building and Construction project (2018-2026) - researching sustainable architecture in Greenland and Arctic conditions Mapping of energy consumption in Faroese building types (2021-2024) - as Project Manager Heat 4.0 Digitally supported District Heating (2019-2022) - contributing to energy systems research SCA: Smart Cities Accelerator (2017-2020) - participating in smart city initiatives Nielsen's research directly contributes to UN Sustainable Development Goals related to sustainable cities and communities (SDG 11), affordable and clean energy (SDG 7), and climate action (SDG 13), with practical applications for reducing carbon emissions in building sectors across challenging environments.

Sidharth Jayachandranمشاهده پروفایل

پژوهشگر ارشد

• Natural Products
• Advanced Biofuels
• Bioproducts
• +۶ مورد دیگر

Sidharth Jayachandran is a Research Fellow at the Novo Nordisk Foundation Center for Biosustainability under Technical University of Denmark (DTU) , specializing in the DTU Microbes Initiative and Yeast Natural Products department. His academic career includes a PhD (2022–2025) focused on engineering Yarrowia lipolytica for plant triterpenoid production. His research interests span Natural Products , Advanced Biofuels , Biosynthetic Gene Clusters , Polyketide Synthases , and Terpenoids . Recent publications highlight his work in bioinformatics-driven curation of biosynthetic pathways, microbial engineering for sustainable bioproducts, and heterologous expression systems. Notable collaborations include partnerships with Pablo Cruz-Morales , Jay Keasling , and Irina Borodina . His work contributes to UN Sustainable Development Goals (SDGs), particularly Responsible Consumption and Production and Climate Action , through innovations in biofuel and bioproduct sustainability.

Petra Hermankovaمشاهده پروفایل

استادیار

• Digital Epigraphy
• Greek Epigraphy
• Latin Epigraphy
• +۵ مورد دیگر

Petra Hermankova serves as an Assistant Professor in Classical Archaeology at Aarhus University's School of Culture and Society, where she also contributes to the Social Resilience Lab. Her academic appointment is active with ongoing projects through 2025 and recent publications in 2025 confirm her current faculty status. Her research focuses on digital epigraphy and the application of computational methods to ancient inscriptions. She employs text mining, machine learning, and social network analysis to study inscription functions across Graeco-Roman societies, economic history patterns, and labor specialization. Her work emphasizes FAIR and Open Science principles in archaeological data management, particularly through leadership in the Epigraphy.info initiative which develops international standards for digital epigraphy. Hermankova's publication trends reveal increasing engagement with computational approaches to ancient social networks and epigraphic big data , with recent work integrating SPARQL querying, RDF modeling, and network visualization techniques. Her research bridges traditional archaeological methods with cutting-edge digital humanities tools, focusing on Mediterranean communities from Thrace to the Roman Empire. She actively participates in major collaborative projects including The Past Social Networks Project (Carlsberg Foundation, 2022-2025), PPAP: Perachora Peninsula Archaeological Project (2019-2024), and SDAM: Small data - Big Challenges (2019-2023). Hermankova regularly organizes international workshops through Epigraphy.info and teaches practical courses in digital epigraphy methodology.

Tue Herlauمشاهده پروفایل

دانشیار

• Bayesian Methods
• Complex Networks
• Brain Imaging Data Analysis
• +۳ مورد دیگر

Tue Herlau is an Associate Professor at the Department of Applied Mathematics and Computer Science, Cognitive Systems, within the College of Engineering at Technical University of Denmark. His research focuses on modeling complex networks using Bayesian methods, particularly applied to brain imaging data. He explores multiscale structures in networks (ranging from individual nodes to large-scale temporal dynamics) and causal inference in social and biological systems. Education : Bachelor in Physics and Mathematics (University of Copenhagen), Masters in Informatics (DTU) Recent publications highlight work on generative AI for educational psychology, causal probability trees, Bayesian neural network training, and moral reinforcement learning. Key collaborations span institutions in Denmark and international partners in AI and neuroscience research. He supervises students in probabilistic methods and machine learning applications, including a 2019-2020 Master project on prognostics for carbon/epoxy composites. His network shows strong engagement with computational science, relational databases, and formal concept analysis.

• Algorithms
• Computational Complexity
• Differential Privacy
• +۳ مورد دیگر

Lukas Retschmeier is a Research Fellow at the Department of Computer Science , University of Copenhagen , affiliated with the Algorithms and Complexity section under the Faculty of Science . His research focuses on: Algorithms Computational Complexity Differential Privacy The trends in his recent publications highlight expertise in privacy-preserving graph algorithms, computational complexity in graph theory, and optimization under privacy constraints.

Ursula Gerda Inge Falkmerمشاهده پروفایل

استاد بالینی

• Neoplasm
• Breast Cancer
• Radiation Therapy
• +۳ مورد دیگر

Ursula Gerda Inge Falkmer is a Clinical Professor at the Faculty of Health Sciences , Aalborg University Hospital , specializing in Cancer Treatment . With 194 publications and extensive research activity from 1985–2024, her work focuses on neoplasm, breast cancer, radiation therapy, and cancer treatment optimization. Clinical Professor at Aalborg University Hospital Department of Cancer Treatment Research areas: Neoplasm, Breast Cancer, Radiation Therapy Key projects: CHEMOFIRE-2 (chemotherapy + irreversible electroporation for pancreatic cancer) Research Trends : Recent articles highlight advancements in breast cancer radiotherapy (nodal boosts, respiratory gating, cardiac toxicity mitigation), radiation-induced diarrhea management in pelvic cancer, and chemotherapy pain dynamics . Her work bridges medical physics and oncology , emphasizing precision radiotherapy and biomarker discovery. Scientific Contributions : 15+ recent publications in Radiotherapy and Oncology , Scandinavian Journal of Pain , and Critical Reviews in Oncology/Hematology 18 research datasets on exosome proteomics in small cell lung cancer (2022) Media Engagement : Featured in cancer therapy discussions (2023: fruit-based cancer claims; 2018: radiation resistance research; 2015: tobacco funding ethics).

Kristian Barrettمشاهده پروفایل

استادیار

• Enzyme Technology
• Protein Chemistry
• Fungal Enzymes
• +۵ مورد دیگر

Kristian Barrett is an Assistant Professor at the Technical University of Denmark , affiliated with the Department of Biotechnology and Biomedicine . His work focuses on enzyme technology, fungal biotechnology, and bioinformatics-driven enzyme discovery. Research Interests : Fungal enzymes, carbohydrate-active enzyme (CAZyme) diversity, bioinformatics tools for enzyme classification, solid-state fermentation, and sustainable biorefinery applications. Publications highlight studies on GH5, GH12, GH20, and GH29 enzyme families, fungal secretomes, and computational approaches like CUPP for functional annotation. Supervision : Involved in advising PhD projects on topics including methionine synthesis, lignin-carbohydrate interactions, and fungal enzyme applications in plant foods.

• Big Data
• Mobility Data Analytics
• Predictive Analytics
• +۵ مورد دیگر

Panagiotis Tampakis is an Associate Professor at the Department of Mathematics and Computer Science, University of Southern Denmark. His research focuses on Big Data Analytics, Mobility Data Analysis, and Predictive Modeling with applications in fields such as maritime surveillance, sports analytics, and healthcare informatics. He is actively involved in developing scalable algorithms for trajectory clustering, spatiotemporal data mining, and distributed systems. His work emphasizes practical solutions through platforms like i4sea for maritime activity monitoring and Pythia for distributed trajectory prediction. He has collaborated internationally on mobility data projects and earned the SSTD 2021 Best Paper Award for innovative spatial-keyword indexing techniques. Tampakis also supervises student projects integrating machine learning with real-world problems in finance, sports, and journalism. Key research themes include predictive analytics for traffic patterns, outlier detection in traffic flows, and analyzing passing sequences in football to predict goal-scoring opportunities. His publications span trajectory clustering, spatial-keyword query optimization, and explainable AI in journalism. Awards: SSTD 2021 Best Paper Award Key Projects: i4sea maritime platform, Pythia trajectory prediction framework, RoadRunner big data processing framework Collaborations: Active in global mobility data communities, with contributions to BMDA initiatives

Christiane Bergerمشاهده پروفایل

دانشیار

• Occupant-Centric Building Design
• Building Performance Simulation
• Indoor Environmental Quality
• +۳ مورد دیگر

Christiane Berger is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology within the Technical Faculty of IT and Design. Her research focuses on occupant-centric building design, building performance simulation, and indoor environmental quality, particularly through initiatives like IEA-EBC Annex 79. She leads or participates in multiple projects, including collaborations with C.F. Møller Architects and the International Energy Agency on human-centric buildings and climate resilience. Her work integrates sustainability, digital transformation, and resilience against disruptive events. Key projects include Joint Collaboration on 'Integrated Design of High-Performance Buildings' (2025–) IEA EBC - Annex 95 (2024–2029) ActRes: Agency for Resilience (2023–2025) Research emphasizes occupant behavior modeling, energy efficiency, and multi-domain environmental standards. Awards include the 2023 Building and Environment Best Paper Award and 2021 IBPSA Outstanding Young Contributor Award. Her teaching involves cross-semester collaborations on sustainability and universal design. Labs/teams include the Centre for Sustainable and Digital Transformation and Human Building Interaction initiatives. Over 70+ publications (2019–2025) address thermal comfort, energy performance, agent-based modeling, and occupant-centric standards.

Amélie Desvars-Larriveمشاهده پروفایل

دانشیار

• Infectious Disease Epidemiology
• Zoonotic Diseases
• Emerging Infectious Diseases
• +۱۲ مورد دیگر

Amélie Desvars-Larrive is an Associate Professor in Infection Epidemiology at the University of Veterinary Medicine Vienna and a Faculty Member at the Complexity Science Hub (CSH) in Vienna, Austria. Her work bridges veterinary medicine, public health, and data science, with a strong emphasis on the One Health approach to understanding zoonotic and emerging infectious diseases. She holds a Doctor of Veterinary Medicine from the National Veterinary School of Toulouse, France, with a specialization in tropical diseases and epidemiology, and earned her PhD in epidemiology from the University of Saint-Denis, La Réunion, in 2013. Her professional journey includes eight years as a field epidemiologist and veterinary research engineer in the Indian Ocean region, focusing on livestock and wildlife diseases. She completed postdoctoral research at Umeå University, Sweden, on tularemia modeling, followed by work at the University of Veterinary Medicine Vienna on urban brown rats and their role in zoonotic disease transmission and antimicrobial resistance. Her research interests include infectious disease epidemiology, zoonotic diseases, veterinary public health, disease modeling, antimicrobial resistance, and the application of data science to animal and human health. She has led and contributed to major open data initiatives, such as the SARS-ANI dataset on SARS-CoV-2 in animals and the CSH’s global dataset on governmental pandemic responses. The most recent articles highlight a strong trend in One Health research, integrating veterinary, environmental, and public health data. Key themes include zoonotic pathogen surveillance (e.g., Leptospira, SARS-CoV-2, E. coli), network modeling of animal trade, biosecurity assessments, and policy analysis of national One Health strategies. The work spans diverse systems—from urban rats in Vienna to dairy cows in Rwanda—demonstrating a global and interdisciplinary approach to disease prevention. Scientific Awards and Recognition: Her work on national One Health strategic plans was featured as an Editors' monthly favorite on the Cell Press Sustainability Hub. Her research on SARS-CoV-2 in animals has been widely covered in international media, including the San Francisco Chronicle and Kurier. She co-developed the CSH’s COVID-19 Control Strategies List (CCCSL), one of the largest datasets of governmental pandemic interventions. Advising and Grants: While specific advisees are not listed, she collaborates extensively with multidisciplinary teams across institutions. She has secured funding for data-driven projects in One Health, including those supported by the Complexity Science Hub. Her work on SARS-ANI and zoonotic web visualization reflects strong grant-supported research initiatives. She actively mentors early-career researchers, as seen from her involvement in the CSH PostDoc Program. Labs and Research Teams: She is a key member of the Health Across Species research group at the Complexity Science Hub, which focuses on zoonotic disease dynamics. She also leads research within the Unit of Conservation Medicine and the Institute of Animal Hygiene and Veterinary Public Health at the University of Veterinary Medicine Vienna. Her team employs data science, network analysis, and field epidemiology to study urban wildlife, livestock, and pathogen transmission.

Axel Polleresمشاهده پروفایل

استاد

• Semantic Web
• Knowledge Engineering
• Data Management
• +۱۲ مورد دیگر

Axel Polleres is a full professor in the area of 'Data and Knowledge Engineering' at the Vienna University of Economics and Business (WU Wien) and a faculty member at the Complexity Science Hub (CSH) in Vienna, a position he has held since January 2017. His work bridges academic research and real-world applications in semantic technologies, knowledge graphs, and data governance. His research interests lie at the intersection of semantic web technologies, knowledge engineering, and data management. Focused on querying and reasoning over ontologies, logic programming, and rule-based systems, he explores how structured data can be effectively managed, validated, and integrated—especially through standards like SPARQL and SHACL. His work extends to applications in open data, legal data, biomedical informatics, and socio-environmental challenges such as climate and public health. The most recent publications highlight a growing trend toward practical and societal applications of knowledge graphs, including climate risk assessment, crisis response, healthcare accessibility, and open data governance. These works combine technical rigor in semantic modeling with impactful real-world use cases, particularly in European and Austrian contexts. Axel Polleres has been actively involved in international standardization, notably as co-chair of the W3C SPARQL Working Group, and serves on the editorial boards of the Semantic Web Journal and Journal of Web Semantics . He has contributed to numerous European and national research projects and has published over 100 articles in top-tier journals and conferences. He advises and collaborates with researchers across disciplines and institutions, contributing to interdisciplinary teams working on complex societal challenges. His work is supported by significant research grants, though specific funding sources are not detailed in the provided text. He leads and participates in research groups focused on semantic technologies, knowledge graphs, and data-driven policy.

Henrik Holbechمشاهده پروفایل

دانشیار

• Ecotoxicology
• Endocrine Disruptors
• OECD Test Guidelines
• +۲ مورد دیگر

Henrik Holbech is an Associate Professor in Ecotoxicology at the University of Southern Denmark 's Department of Biology. With over 124 research outputs, his work focuses on developing OECD test guidelines for identifying endocrine disrupting chemicals (EDCs) using fish and invertebrate models, particularly Danio rerio (zebrafish). He coordinates the EU Horizon 2020 ERGO project (€5.99M) and leads multiple Nordic Council-funded initiatives on mollusc endocrinology. As chair of the OECD Mollusc Expert Group and member of the ECHA Endocrine Disrupter Expert Group , he bridges human health and environmental toxicology through adverse outcome pathway (AOP) research. Research Contributions: Developed and validated Fish Sexual Development Test (FSDT) protocols (OECD TG 230/210/229) Pioneered mollusc-based EDC testing for aquatic invertebrates Lead author of OECD validation reports Contributor to 40+ international technical meetings Created ELISA methods for vitellogenin detection in fish Investigated ballast water treatment technologies (UV/cavitation/ozonation) Explored thyroid hormone disruption mechanisms in aquatic species Collaboration Network: Active in EU Tender projects with University of Heidelberg, University of Antwerp; Nordic Council partnerships (NordUTTE) with Norway/Sweden; Danish EPA collaborations (5.2 Mio DKK total). Key institutions: DHI Hoersholm, Fraunhofer, University of Antwerp.

Srinivasa Raghavendra Bhuvan Gummidiمشاهده پروفایل

استادیار

• Algorithms for Geographical Information Systems
• Database Systems
• Optimization Algorithms
• +۷ مورد دیگر

Srinivasa Raghavendra Bhuvan Gummidi is an Assistant Professor at the Department of Green Technology (IGT) within the University of Southern Denmark . His research focuses on Circular Economy , Building Stock Modeling , and Environmental Impact Assessment through advanced Geographical Information Systems (GIS) and Deep Learning techniques. Recent work includes high-precision building material identification and spatiotemporal tracking of urban material stocks. Research Keywords : Algorithms for Geographical Information Systems, Optimization Algorithms, Building Stock Modeling, Circular Economy, Deep Learning, Environmental Impact Assessment His peer-reviewed publications (2025–2015) span topics from urban material sustainability to spatial crowdsourcing systems . He teaches Geographic Information Systems for Engineering Sustainability (2024) and collaborates internationally on urban development and resource management projects.

Anders Bondeمشاهده پروفایل

دانشیار

• Musicology
• Sound Branding
• Media Psychology
• +۷ مورد دیگر

Anders Bonde is an Associate Professor at Aalborg University's Department of Communication and Psychology, within The Faculty of Social Sciences and Humanities. His research focuses on music analysis, sound branding, media psychology, and the interplay between music and audiovisual media. He employs both qualitative and quantitative methods, integrating diverse data into aesthetically informed frameworks. His work bridges musicology, media studies, semiotics, aesthetics, affective computing, and data visualization. Teaching responsibilities include courses in music theory, voice leading, sound branding, and epistemology across programs in Music, Communication, and Media Studies. He leads the Study Board for Art, Health, and Technology, overseeing programs in Music Therapy, Art and Technology, and Nordic master's programs in Visual Studies and Media Arts. Research projects include investigations into sound branding, audiovisual interaction effects, and multimodal meaning-making. Notable outputs include works on the aesthetics of ambiguity in 20th-century music, sensory atmospheres in retail contexts, and the effectiveness of non-musical sound branding. His work spans theoretical frameworks, empirical studies, and interdisciplinary collaborations. Recent articles explore interactive music visualization, sound branding conceptualizations, and the role of music in advertising. Media engagement includes commentary on sound branding strategies and its psychological impacts. Grants and collaborations reflect his commitment to bridging theoretical and applied research.