جست‌وجوی استاد و پژوهشگر

Abhijit Mazumdarمشاهده پروفایل

پژوهشگر ارشد

• Markov Decision Processes
• Safety Verification
• Reinforcement Learning
• +۵ مورد دیگر

Abhijit Mazumdar serves as a Research Fellow in the Department of Electronic Systems within Aalborg University's Faculty of IT and Design. He is actively affiliated with the Automation & Control Learning and Decisions Lab, focusing on theoretical and applied aspects of safety-critical decision systems. His research centers on Markov Decision Processes , safety verification , and reinforcement learning with critical applications in control systems. Key interests include stochastic safety analysis of hybrid systems, constrained optimization under uncertainty, and model-free safety verification techniques that prevent safety violations during learning. His work bridges theoretical computer science with practical engineering implementations in autonomous systems. Recent publications demonstrate a strong trend toward formal safety guarantees in learning-based control, with 75% of his 2023-2024 output addressing safety verification for Markovian systems. His fingerprint analysis shows dominant specialization in Computer Science (100%) and Engineering (100%) , particularly in safety-critical domains where theoretical rigor meets real-world implementation constraints. Dr. Mazumdar collaborates extensively within Aalborg University's technical ecosystem, particularly with researchers in control theory and formal methods. His laboratory work in the Automation & Control Learning and Decisions Lab focuses on developing mathematically rigorous frameworks for safe decision-making in uncertain environments.

Lene Aarøeمشاهده پروفایل

استاد

• Political Psychology
• Political Communication
• Public Opinion
• +۶ مورد دیگر

Lene Aarøe is a Professor at the Department of Political Science, Aarhus University. Her research bridges political psychology, neuroscience, and communication studies, focusing on how psychological dispositions shape political attitudes and public opinion. She has received recognition for her interdisciplinary approach and leadership in the field. Specializes in political psychology Explores emotions, cognitive biases, and democratic challenges Combines political science, psychology, and biology Her work on exemplars in political communication and democratic polarization has been published in top-tier journals like PNAS Nexus , British Journal of Political Science , and Brain, Behavior, and Immunity . Recent research trends emphasize cross-cultural comparisons, health-related attitudes, and AI's role in political analysis. Notable scientific awards include her AIAS-SHAPE fellowship (2023-2024) at Aarhus Institute of Advanced Studies. She leads the Exemplar Democracy project, funded by the Independent Research Fund Denmark, examining psychological biases in governance perception. Collaborations span political science, neuroscience, and public health disciplines. Her work has implications for addressing democratic inequality , misinformation , and policy communication .

• Artificial Intelligence Law
• Refugee Law
• Asylum Policy
• +۳ مورد دیگر

Anna Murphy Høgenhaug is a Part-time Lecturer in the Master in Law (LL.M.) program at the Faculty of Law, University of Copenhagen, while concurrently pursuing her PhD studies. She serves as a Guest Researcher and External Lecturer at the MOBILE - Center for Global Mobility Law, with her primary affiliation at Karen Blixens Plads 16 in Copenhagen S. Her research focuses on the intersection of artificial intelligence and refugee law, particularly examining algorithmic decision-making in Scandinavian asylum systems. Key interests include explainable AI governance, bias detection in migration adjudication, and the legal implications of machine learning in administrative processes. Her work employs quantitative analysis of asylum decision patterns across Denmark, Norway, and Sweden. Recent publications demonstrate a clear trajectory toward demystifying 'black box' refugee status determination through XAI (Explainable AI) frameworks like SIDU-TXT. Her scholarship bridges technical AI development with practical legal applications, emphasizing transparency requirements under the AI Act and Nordic administrative law traditions. Høgenhaug actively collaborates with researchers including Gammeltoft-Hansen, Jarlner, and Moeslund on interdisciplinary projects spanning law, computer science, and migration studies. Her ORCID profile (0009-0004-6715-0561) documents growing influence in computational legal studies. Her teaching activities center on advanced legal topics within the LL.M. program, particularly courses related to AI regulation and international protection systems. Current research directions include developing holistic assessment approaches for NLP in legal contexts and analyzing religious conversion claims within Nordic asylum frameworks.

Peter Højholt Holland-Fischerمشاهده پروفایل

دانشیار بالینی

• Liver Diseases
• Lifestyle Intervention
• Liver Transplant Recipients
• +۳ مورد دیگر

Peter Højholt Holland-Fischer is a Clinical Associate Professor at Aalborg University Hospital, affiliated with the Department of Gastroenterology and Hepatology within The Faculty of Medicine at Aalborg University. His research focuses on liver diseases, lifestyle interventions, and post-transplantation complications. He collaborates internationally, particularly in studies involving Turkish and Danish cohorts with primary biliary cholangitis. Key research interests include metabolic-associated fatty liver disease in children, thyroid dysfunction in liver transplant recipients, and rare conditions like systemic sclerosis. His work bridges clinical practice and translational research, emphasizing cohort analyses and cross-cultural comparisons. Recent publications highlight trends toward understanding the epidemiology of liver diseases, optimizing lifestyle interventions for pediatric obesity, and addressing endocrine complications in transplant patients. His media engagements address public health topics like hydration and mental health, reflecting a commitment to community education. No scientific awards are explicitly listed, though his active publication record indicates sustained academic contributions. His advising and grants remain unspecified, though his media appearances suggest involvement in public-facing health initiatives. Laboratory and team collaborations center on Aalborg University Hospital’s gastroenterology department, with multidisciplinary networks in hepatology, endocrinology, and clinical medicine.

Christoph Mathejaمشاهده پروفایل

دانشیار

• Formal Verification
• Probabilistic Programming
• Software Systems Engineering
• +۸ مورد دیگر

Christoph Matheja is an Associate Professor at the Technical University of Denmark , affiliated with the Department of Applied Mathematics and Computer Science . His work focuses on formal verification, probabilistic programming, and software systems engineering. Research Highlights : Operational semantics for probabilistic programs, fixed-point characterizations of rewards in MDPs, and data-driven Petri net modeling for process mining. Publications span formal verification techniques, probabilistic programming paradigms, and tools for process mining, emphasizing interdisciplinary applications in computer science and software engineering. Scientific Awards : POPL 2021 Distinguished Paper Advising & Grants : Supervises PhD students in automated reasoning about randomized algorithms, with project funding active from 2023 to 2026. Professional Activities : Serves on committees for ACM SIGPLAN Symposium on Principles of Programming Languages (2022–present), International Conference on Computer Aided Verification (2023–present), and Formal Methods Symposium (2022–present). Organizer of the 2022 Workshop on Verification of Probabilistic Programs.

Hans-Jörg Schulzمشاهده پروفایل

دانشیار

• Visual Analytics
• Information Visualization
• Graph Visualization
• +۴ مورد دیگر

Hans-Jörg Schulz serves as an Associate Professor in the Department of Computer Science at Aarhus University, Denmark, specializing in visual analytics and information visualization. His research bridges computer science with interdisciplinary applications in food science, neuroscience, and material engineering. He earned his Doctorate in Computer Science (2010) and Diplom (Master's equivalent, 2004) from the University of Rostock, focusing on explorative graph visualization and visual data mining for complex structures. His academic trajectory reflects deep expertise in transforming complex data into actionable visual insights through innovative methodological frameworks. Schulz's research centers on advancing visual analytics methodologies, particularly progressive visual analytics where data processing and user interaction occur simultaneously. His work establishes foundational techniques for visual guidance systems, explainable AI interfaces, and specialized visualization tools for domains like EEG analysis and food rheology. Recent publications demonstrate a strategic expansion into haptic feedback integration, agent-based visualization design, and cross-disciplinary applications requiring novel visual fingerprinting techniques. Analysis of his 2023-2025 publications reveals three dominant trends: (1) Human-centered progressive analytics with focus on trust calibration and cognitive load management, (2) Domain-specific visualization frameworks for complex data like anisotropic food structures and EEG artifacts, and (3) Novel interaction paradigms incorporating force feedback and malleable interfaces. His work consistently emphasizes practical usability while pushing technical boundaries in visual representation. Schulz's contributions have been recognized with significant awards including IEEE InfoVis Best Poster (2010), EuroVis 3rd Best Paper (2012), VDA Best Paper (2015), Cybercartography Competition 1st Place (2022), and IEEE SciVis Contest 2nd Place & Most Innovative Work (2023). These accolades highlight both theoretical innovation and practical impact in the visualization community. As an educator, he supervises PhD candidates and teaches core visualization courses including Data Visualization, Information Visualization, and Visual Analytics. His current ArtiPlex project (2024-present) develops multiplex analytics for EEG artifact detection, securing active research funding while demonstrating his commitment to translating visualization research into domain-specific solutions. Collaborative patterns across his 79 publications indicate strong partnerships with food scientists, neuroscientists, and HCI researchers.

Simon Noam Karlinمشاهده پروفایل

پژوهشگر ارشد

• Organizational Studies
• Communication
• Artificial Intelligence
• +۳ مورد دیگر

Simon Noam Karlin is a Research Fellow at Roskilde University's Department of Communication and Arts, specializing in Artificial Intelligence and Datafied Communication (AIDa). His work explores the intersection of organizational studies, communication, and AI, focusing on how technology implementation affects employee agency within organizations. Education: Master's degree in Film- and Media Studies from the University of Copenhagen Recent research investigates strategic challenges in AI deployment, algorithmic ethics, and the socio-technical dynamics of digital transformation. His publications emphasize ethnographic and interdisciplinary approaches to understanding AI's organizational impact. He actively participates in the research project SCAI: Strategizing Communication and Artificial Intelligence (2022-2025), collaborating with colleagues to analyze responsible AI practices in Danish institutions.

Fredrik Seistrupمشاهده پروفایل

دانشیار

• Digital Transformation
• Management Strategy
• Organizational Behavior
• +۳ مورد دیگر

Fredrik Seistrup is an Associate Professor at IBA , specializing in management with a focus on the interplay between leadership and digitalization. His work emphasizes the critical role of the human perspective in organizational digitization and technological change. Education : Cand.merc. (Master of Science in Economics and Business Administration) Master's Degree in Digital Innovation (2022) Research Interests : Digital Transformation Management Strategy Organizational Transition Human-Centered Technology Design Awards : IBA Teacher of the Year 2021 Professional Philosophy : Advocates for diverse information sources to challenge algorithmic biases, including engaging with opposing viewpoints (e.g., Fox News). Literary Influence : Currently inspired by Daniel Kahneman's work on decision-making and organizational 'noise' in his book Noise .

Luca Maria Aielloمشاهده پروفایل

استاد

• Data Science
• Computational Social Science
• Social Media
• +۷ مورد دیگر

Luca Maria Aiello is a Professor and Data Science Research Group Leader at the IT University of Copenhagen 's Department of Digital Design. He heads the education program for the Master of Data Science degree while co-leading the Networks, Data, and Society research group. His research spans computational social science , social media analysis , and network science , with recent focus on: Urban social connectivity patterns Sleep quality and social dimensions Financial collective action on Reddit COVID-19 pandemic's impact on dreaming Climate change discourse on TikTok Current research projects include COCOONS (Collective Coordination through Online Social Media) funded by the Carlsberg Foundation (2023-2025), and multiple grants for the International Conference on Computational Social Science (IC2S2) from Danish Data Science Academy and Otto Mønsteds Fond. Dr. Aiello has received significant recognition including the 2022 Research Environment of the Year award, with his work being covered by 16 news outlets , 47 X (Twitter) users , and 3 Facebook pages .

Giulio Bianchi Piccininiمشاهده پروفایل

دانشیار

• Road Safety
• Human Factors in Transportation
• Traffic Psychology
• +۳ مورد دیگر

Giulio Bianchi Piccinini is an Associate Professor at Aalborg University’s Department of Construction, Urban and Environmental Engineering, leading the research group Data Analysis and Human Factors in Traffic . His career spans academia and industry, including nine years at Chalmers University of Technology’s Crash Analysis and Prevention group and prior automotive industry experience in Italy. Education : PhD in Transportation Systems (University of Porto, 2019); Master’s in Automotive Engineering (Polytechnic University of Turin, 2014); Bachelor’s (2007). Giulio’s research centers on road safety , analyzing accident mechanisms involving drivers, cyclists, and pedestrians. His work combines expert assessment and naturalistic data (video, kinematic variables) with theoretical foundations in engineering , cognitive science , and human factors . Recent projects include Safe e-PMvs (electric personal mobility safety) and Computer Vision for Cycling Safety . His articles highlight trends in driver-cyclist interactions , autonomous vehicle safety , and behavioral adaptation to driver assistance systems. Awards include the 2016 Best Presentation Award and 2007 Best Italian Master’s Thesis in Automotive Engineering . Teaching : Supervises undergraduate and graduate students in Civil Engineering and Roads & Traffic Engineering; developing a new Master’s program in Sustainable Road Transportation. Leadership : Served on editorial boards of Journal of Safety Research and European Transport Research Review ; former head of Chalmers’ Human Behaviour competence network.

Søren Paaske Johnsenمشاهده پروفایل

استاد

• Apoplexy
• Cohort Analysis
• Brain Ischemia
• +۵ مورد دیگر

Søren Paaske Johnsen is a Professor at Aalborg University Hospital under the Faculty of Health Sciences, affiliated with the Danish Center for Health Services Research (PRIMA: Center for Primary Sector Research). His work spans epidemiology, clinical research, and health services innovation in Denmark. Institutional Affiliation: Aalborg University Hospital, Danish Center for Health Services Research Research Focus: Stroke care, atrial fibrillation, chronic pain, AI in healthcare, and migrant health disparities Projects: Principal Investigator for SEXA-PRO, co-investigator for Social Prescribing EU, and contributor to AI-based care pathways Research Trends: His 802+ publications emphasize cohort studies on cardiovascular and neurological conditions, AI integration in clinical practice, and equity in healthcare access. Recent work includes nationwide analyses of stroke outcomes, AI-driven thrombectomy protocols, and socioeconomic/immigration-related disparities in treatment adherence. Scientific Contributions: Notable initiatives include the ARISTOTELES AI project for atrial fibrillation, TaKeAction telehealth pathway for post-knee replacement pain, and datasets on stroke quality during the pandemic. Media engagement covers medical ethics, stroke prevention, and mental health funding critiques.

• Energy Economics
• Electricity Markets
• Renewable Energy Integration
• +۳ مورد دیگر

Arega Getaneh Abate serves as a Postdoctoral Fellow at DTU Management, Technical University of Denmark, with primary affiliations in the Department of Technology, Management and Economics. His institutional placement includes: Section for Energy Economics and Modelling Division for Climate and Energy Policy Based at Production Square, Building 424, Room 117 in Kgs. Lyngby, Denmark, he operates at the nexus of energy systems analysis and economic policy development. Abate's research program centers on quantitative approaches to energy transition challenges, specifically: Stochastic optimization for electricity market operations under uncertainty Renewable energy integration mechanisms and grid management Demand response program design and dynamic pricing AI-driven platforms for electric mobility and energy systems Contract theory applications in carbon-constrained markets Economic modeling of climate policy impacts His publication trajectory (2016-2025) reveals a methodological evolution from panel data analysis in development economics toward advanced computational techniques in energy markets. Recent work demonstrates increasing sophistication in handling uncertainty through stochastic programming and machine learning, with consistent focus on market design for high-renewable scenarios. The 2025 AI-platform study represents the current frontier of his research integrating mobility, generation, and grid systems. Within DTU's Division for Climate and Energy Policy, Abate contributes to a research ecosystem focused on evidence-based solutions for decarbonization, participating in cross-disciplinary projects addressing the economic dimensions of sustainable energy transitions.

• Predictive Policing
• Science and Technology Studies
• Digitalization
• +۹ مورد دیگر

Björn Karlsson is a researcher at the IT University of Copenhagen within the Technologies in Practice department. His work focuses on the intersection of technology, policing, and governance. Active in Predictive Policing and Science and Technology Studies Key researcher in the POL-INTEL project examining police digitalization Collaborator in CUPP and UNDO research initiatives Research interests involve Ontology , Epistemology , and Philosophy of Science applied to digital policing systems. Recent publications analyze Palantir software, Police Power , and Privacy Protection in Nordic contexts. Contributions include: 2025: Scientification through privatization: POL-INTEL in Denmark 2025: The Digital Leviathan: Prediction, Politics and Police Power 2024: Ontological politics in the Danish police’s POL-INTEL

Anna Paldam Folkerمشاهده پروفایل

استاد

• Public Health Philosophy
• Mental Health Promotion
• Digital Health Interventions
• +۵ مورد دیگر

Anna Paldam Folker is Professor of Public Health Philosophy at the Danish National Institute of Public Health, University of Southern Denmark. She leads the Human Health research group and SDU’s cross-faculty Human Health initiative, integrating humanities, social sciences, and health sciences. Research focuses on practice-guided public health philosophy Specializes in mental health concepts, stigma, and digital interventions Active in interdisciplinary collaborations with epidemiology and implementation science Develops arts-based health promotion strategies Her recent work emphasizes digital mental health platforms like Mindhelper.dk and qualitative approaches to dementia care ethics. Awards include Fyens Stiftstidende's Research Prize (2023) and SDU Innovation Prize (2023) . She supervises multiple research projects and contributes to national policy discussions.

Marcel Bogersمشاهده پروفایل

استاد

• Innovation Management
• Open Innovation
• Entrepreneurship
• +۵ مورد دیگر

Marcel Bogers is a Professor of Innovation and Entrepreneurship at the University of Copenhagen, working at the Unit for Innovation, Entrepreneurship and Management within the Department of Food and Resource Economics (IFRO) at the Faculty of Science. He also holds a significant external position as Garwood Research Fellow at the Garwood Center for Corporate Innovation at the Haas School of Business, University of California, Berkeley. His academic journey began with an M.Sc. in Technology and Society from Eindhoven University of Technology (1999-2004), followed by a Ph.D. in Management of Technology from Ecole Polytechnique Fédérale de Lausanne (2005-2009). His career progression includes Postdoc and Associate Professor positions at the University of Southern Denmark (2009-2015), Associate Professor at the University of Copenhagen (2015-2017), and his current position as Full Professor since 2017. Professor Bogers' research centers on the design, organization and management of technology, innovation and entrepreneurship, with particular emphasis on openness and participation in innovation processes. His work spans multiple domains including open innovation, business models, family businesses, user innovation, collaborative prototyping, improvisation, and university-industry collaboration. His approach integrates theoretical frameworks with practical insights to address complex innovation challenges across organizational boundaries. His extensive publication record (106 research outputs) reveals a clear evolution toward examining innovation at multiple analytical levels - from individual practices to ecosystem dynamics. Recent work shows increasing attention to AI's role in innovation processes, sustainable business model development, and the application of open innovation principles in public sector contexts. His publications appear in top-tier journals including Research Policy, California Management Review, and Journal of Product Innovation Management. Through his company 'Bogers Innovative Research', Professor Bogers extends his academic work into practical applications, offering keynotes, workshops, and training on innovation topics to diverse audiences including universities, companies, and policymakers. His forthcoming book 'Social Media for Research Impact' (scheduled for pre-order January 2026) reflects his commitment to enhancing research visibility and impact through digital channels.