جستجوی استاد راهنمای دانشگاهی

Zoltan Kovacsمشاهده پروفایل

دانشیار بالینی

• Psychiatry
• Liaison Psychiatry
• Bipolar Disorder
• +۷ مورد دیگر

Zoltan Kovacs is a Clinical Associate Professor at Aalborg University's Faculty of Medicine, Department of Clinical Medicine, and serves as an Overlæge (Senior Physician) at Aalborg University Hospital in the Psychiatry department. He is actively involved in clinical psychiatry and academic research with a strong focus on bipolar disorders, lithium-induced metabolic complications, and quality improvement in psychiatric services. Aalborg University, Faculty of Medicine Department of Clinical Medicine Aalborg University Hospital, Psychiatry His research interests center on liaison psychiatry , particularly the interface between physical and mental health. He investigates lithium-induced hypercalcemia , developing expert management algorithms, and evaluates the quality of consultation-liaison psychiatry services . His work also addresses pharmacological treatment strategies in bipolar disorder and the excess mortality observed in severe mental illness. The recent publications (2020–2024) reflect a consistent focus on clinical psychiatry, especially bipolar disorder management and metabolic side effects of long-term lithium use. His work often involves collaborative, evidence-based approaches to treatment guidelines and service evaluation, published in journals such as International Journal of Bipolar Disorders and BMC Psychiatry . Key themes include psychopharmacology, clinical algorithms, and quality control in mental health systems. Notable scientific contributions include co-authoring expert consensus on lithium-induced hypercalcemia and quality assessment frameworks for psychiatric liaison services. These efforts enhance clinical decision-making and patient safety. Lithium-induced hypercalcemia: expert opinion and management algorithm (2022) Quality assessment of a consultation-liaison psychiatry service (2021) Correspondence on mania treatment algorithm (2024) Dr. Kovacs collaborates with leading researchers such as R. W. Licht, R. E. Nielsen, and P. Vestergaard. While no formal grants are listed, his research output suggests active involvement in clinical studies and service evaluations. He contributes to psychiatric discourse through commentaries, editorials, and original research. His datasets are publicly shared via Figshare, supporting open science. He is affiliated with a robust research network in Denmark, particularly within Aalborg University Hospital’s psychiatric division. His work contributes to both clinical practice improvement and academic understanding in liaison psychiatry and mood disorders.

Sébastien Santuretteمشاهده پروفایل

دانشیار مدعو

• Psychoacoustics
• Hearing Research
• Auditory Perception
• +۲ مورد دیگر

Sébastien Santurette is a Senior Researcher at Oticon A/S and Adjunct Associate Professor at the Department of Health Technology, Hearing Systems Section, Technical University of Denmark (DTU). His research focuses on psychoacoustics, auditory perception, and audiology, with specialization in hearing loss compensation and auditory modeling. Education : Ph.D. in Hearing Science (DTU, 2011), M.Sc. in Engineering Acoustics (DTU, 2005), General Engineering (Ecole Centrale Paris, 2003) Research domains include hearing deficit characterization , pitch/music perception in normal and impaired auditory systems, binaural hearing , sound externalization , and noise annoyance effects . His work contributes to UN Sustainable Development Goal 4: Quality Education in audiological sciences. Recent publications analyze auditory profiling methodologies, cortical representations in noisy environments, and precision audiology applications. Collaborative projects involve auditory rehabilitation frameworks like the BEAR test battery and clinical evaluations of hearing aid algorithms. Supervision roles include mentoring PhD candidates in auditory modeling and cochlear implant optimization. Key Collaborations : With DTU, Rigshospitalet, and international audiology institutions Editorial Roles : Co-editor for International Symposium on Audiological Research proceedings

Michel Avitalمشاهده پروفایل

استاد

• Blockchain Technology
• Digital Transformation
• Decentralized Organizations (DAOs)
• +۷ مورد دیگر

Michel Avital is a Professor at Copenhagen Business School within the Department of Digitalization . His research focuses on the intersection of digital technologies and organizational dynamics, particularly in blockchain platforms, decentralized autonomous organizations (DAOs), and emerging technologies like quantum computing and AI. He explores how these technologies reshape governance, accountability, and collaborative practices in modern organizations. Recent research highlights include studies on the socio-cultural dimensions of blockchain platforms, AI-powered accountability frameworks for decentralized organizations, and the transformative potential of quantum computing. He has also advocated for the decentralization and democratization of academic publishing through blockchain-enabled systems. In media and public discourse, Avital has contributed analyses on cryptocurrency trends, blockchain implications in governance, and digital transformation challenges. His work spans theoretical contributions and practical applications, emphasizing the social fabric of digital infrastructures and their impact on trust, transparency, and value creation.

• Machine Learning
• Natural Language Processing
• Medical Data Analysis
• +۱۰ مورد دیگر

Tobias Nordholm-Højskov is an Instructor at the Department of Computer Science , University of Copenhagen (DIKU). His research intersects machine learning with healthcare, sustainability, and quantum computing, focusing on theoretical foundations and applications in medical data analysis, climate-aware AI, and quantum systems. He is affiliated with the SCIENCE AI Centre and contributes to projects like QDarts (quantum dot array simulation) and TreeSense (remote sensing for environmental monitoring). His work spans diverse subfields, including Explainable AI for healthcare records Federated Learning in rare disease research Quantum-inspired neural networks Retrieval-Augmented Generation frameworks Environmental impact mitigation in AI

Jakob Nordströmمشاهده پروفایل

استاد

• Computer Science
• Algorithms and Complexity
• Proof Complexity
• +۵ مورد دیگر

Jakob Nordström is a full-time Professor at the Department of Computer Science , University of Copenhagen , and holds a part-time affiliation with Lund University since 2020. His research lies at the intersection of theoretical computer science , proof complexity , and combinatorial optimization . His work focuses on SAT solving , Pseudo-Boolean optimization , and formal verification of algorithms. Recent research includes polynomial calculus lower bounds , dynamic programming certification , and MIP-based presolve techniques . Publications span journals like the Journal of the ACM and conferences including SAT and CADE . Scientific awards include the STOC '06 Best Student Paper Award and the Ackermann Award 2009 . He is a member of the Young Academy of Sweden (since 2018). Research funding comes from the Independent Research Fund Denmark and the Swedish Research Council . He has contributed to proof complexity , resolution trade-offs , and algebraic reasoning in combinatorial search. His work bridges theoretical lower bounds with practical Pseudo-Boolean solvers and certified algorithms .

Pernille Hohnenمشاهده پروفایل

دانشیار

• Digital Finance
• Datafication
• Economic Anthropology
• +۴ مورد دیگر

Pernille Hohnen is an Associate Professor in the Department of Communication and Arts at Roskilde University, Denmark. She serves as the university's coordinator for CopenhagenFintech and DigitalLead cluster. Her research focuses on digital finance, datafication of human life, credit scoring, and the intersection of economic practices with cultural and moral frameworks. She is particularly interested in the platform economy, algorithmic governance in finance, privacy concerns in payment systems, and the role of money as a public good. Her work combines economic anthropology with critical analyses of digital credit systems, youth debt trends, and the evolving nature of financial risk. She has conducted comparative studies between Denmark and the US, exploring how big data reshapes credit assessment and consumer behavior. Recent projects include studies on sustainable digital payment platforms and the ethical implications of AI-driven financial tools. Dr. Hohnen has been involved in research projects such as 'Digital finance, digital payment infrastructure and the scoring of citizens' (2019–2022) and 'Everyday life on credit' (2018–2019). She has collaborated widely, with outputs spanning journal articles, book chapters, and policy-oriented reports. Her awards and recognitions include roles in prominent academic clusters and research networks. Her work bridges theory and practice, addressing both academic and societal concerns around financial inclusion, data ethics, and the future of money.

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

Vedran Sekara is an Associate Professor in Data Science at the IT University of Copenhagen, focusing on the intersection of Network Science, Computational Social Science, and Algorithmic Auditing. His work examines how data-driven technologies impact societal systems, with particular attention to biases in algorithmic decision-making and humanitarian applications of machine learning. Research Interests: Algorithmic fairness in social systems Human mobility modeling and pandemic response Socioeconomic indicator estimation via digital footprints Climate change communication strategies Machine learning for humanitarian work Recent Projects: Principal Investigator for DIREC: Digital Research Centre Denmark (2020-2025) Lead investigator in DIREC Mobility Analysis Project (2022-2023) Awards: Recipient of Årets Forskningsmiljø 2022 Award for collaborative research excellence Media Engagement: Frequently discusses algorithmic impacts on Danish media including PRM/Hvordan påvirker algoritmer vores samfund? (April 2021) and Nu vil regeringen og opruste mod cyberangreb (June 2021). Key Collaboration Areas: Extensive international research networks in mobility science, computational social science, and algorithmic auditing.

Malene Plejdrup Hansenمشاهده پروفایل

دانشیار

• Antibiotics
• Infectious Diseases
• General Medicine
• +۳ مورد دیگر

Malene Plejdrup Hansen is an Associate Professor and medical doctor at the Department of Clinical Medicine, Aalborg University, Denmark. She holds a dual affiliation with The Faculty of Medicine and the Center for General Practice. Her primary research focuses on optimizing general practitioners' management of acute respiratory tract infections and antibiotic use, aiming to balance clinical benefits and harms. She leads a research team investigating infectious diseases in general practice and chairs the General Practice Research on Infections Network (GRIN), a WHO-affiliated group. Key projects include the HAPPY PATIENT initiative, which evaluates antibiotic dispensing practices in EU countries, and the IMAGINE study focusing on nursing home infection management. She has led over 80 research outputs since 2010, with a focus on antibiotic stewardship, diagnostic strategies, and healthcare quality improvement. Hansen has contributed to national guidelines on otitis media and respiratory infections, emphasizing evidence-based practices. Her work spans clinical audits, randomized controlled trials, and systematic reviews. Notable contributions include studies on antibiotic duration for pneumonia, ultrasound-guided diagnoses, and the impact of interventions on prescribing behavior. Hansen actively engages in editorial roles, review committees, and international collaborations to advance primary care research and policy.

Edward Abelمشاهده پروفایل

دانشیار

• Computer Science
• Data Science
• Ethics in AI
• +۵ مورد دیگر

Edward Abel is an Associate Professor in the Department of Design, Media and Educational Science at the University of Southern Denmark. His research focuses on computational approaches to decision-making, fairness, and explainability in AI systems, particularly in how these systems influence human choices. He explores technical algorithm design alongside ethical implications, emphasizing transparency and accountability. Abel holds a PhD in Computer Science and participates in external roles such as the Steering Committee of the eXplainable Artificial Intelligence Hub. Education : PhD in Computer Science His research interests span computational decision-making systems, recommender systems, and the intersection of computer science with humanities disciplines. He investigates how AI can be designed to align with user needs while addressing equity and interpretability challenges. Notable contributions include studies on fairness in pandemic policy decisions and the development of the VADA architecture for data wrangling. Abel’s work often bridges technical innovation with critical social inquiry, aiming to ensure AI systems are both effective and ethically robust. His recent projects include analyzing UK COVID-19 restrictions through dominance-based rough sets analysis and exploring diversity in music recommendation systems. He collaborates extensively with interdisciplinary teams and has published over 30 peer-reviewed articles. His datasets, such as the UK COVID-19 restriction dataset, are widely referenced in academic research and policy discussions.

Jana Lasserمشاهده پروفایل

استاد

• Data Analysis
• Complex Social Systems
• Misinformation and Counterspeech
• +۱۲ مورد دیگر

Jana Lasser is Professor for Data Analysis at the University of Graz and leads the Complex Social & Computational Systems research group at the interdisciplinary IDea_Lab. She is also Associate Faculty at the Complexity Science Hub Vienna (CSH), reflecting her deep engagement with complex systems research across institutions. Her educational background includes a PhD in Physics from Georg-August-University of Göttingen, based on research at the Max Planck Institute for Dynamics and Self-Organization. She held postdoctoral and visiting positions at the Medical University of Vienna, Graz University of Technology (as a Marie Curie Fellow), and RWTH Aachen (as interim professor) before joining the University of Graz in 2024. Her research centers on emergent phenomena in complex social systems, using machine learning, data science, NLP, and computational modeling. Key interests include misinformation, counterspeech, social media algorithms, mental health in academia, and pattern formation in geophysical systems. She is a leading voice in open science, data literacy, and reforming academic culture. Her recent publications (2023–2025) reveal a strong interdisciplinary trend, bridging computational social science, public health, political communication, and geophysics. Many papers focus on misinformation, political discourse, and algorithmic governance, often using large-scale social media data. Others explore mental health, academic labor, and foundational geophysical processes, demonstrating her wide-ranging analytical expertise. ERC Starting Grant 101160928 (DeSiRe) FWF standalone project P 37280-N netidee SCIENCE prize Open Knowledge Fellow of the Wikimedia Foundation (2019/2020) Marie Curie Fellow Jana Lasser actively mentors and advises through her leadership of major research projects and initiatives. She leads the Survey Special Interest Group in the COST Action on Researcher Mental Health and co-founded the Network Against Abuse of Power in Science. Her research has been supported by prestigious grants including an ERC Starting Grant and FWF funding. She has developed and taught numerous open-access courses in computational social science, Python, and data literacy, emphasizing reproducibility and educational outreach. She leads the Complex Social & Computational Systems research group at IDea_Lab and is a key figure in the Complexity Science Hub Vienna. Her work on the Schwurbelarchiv and agent-based models for healthcare resilience demonstrates her leadership in building and utilizing large-scale data infrastructures for societal benefit.

Marco Carboneمشاهده پروفایل

استاد

• Theoretical Computer Science
• Session Types
• Concurrency Theory
• +۷ مورد دیگر

Marco Carbone is a Professor of Theoretical Computer Science at IT University of Copenhagen. His research focuses on session types , concurrency theory , structured communication , and formal verification of distributed systems. He leads the Center for Information Security and Trust and serves as Head of Education for the Master of Science in Computer Science program. Research Areas: Session Types, Concurrency, Security Protocols, Trust Management, Programming Logic Projects: GAINER (2023-2024), MECHANIST (2021-2025), PROBABILIST (2025-2028), BeHApi (2018-2023) Scientific Awards: International Prize (2018) His recent work explores probabilistic choreographies, asynchronous session subtyping, and mechanized proofs for session type systems. He has published extensively in venues like Logical Methods in Computer Science and Lecture Notes in Computer Science .

Martin Frandsenمشاهده پروفایل

پژوهشگر

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

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

Michael Gøtzeمشاهده پروفایل

استاد

• Administrative Law
• Public Law
• Rule of Law
• +۵ مورد دیگر

Michael Gøtze is a Professor of Administrative Law at the Faculty of Law, University of Copenhagen, where he has served since 2011. He heads the WELMA Centre for Legal Studies in Welfare and Market , focusing on Nordic welfare models and administrative challenges. His professional background includes service as a judge at the Eastern High Court and civil service at the Ministry of the Interior. Research Focus: Professor Gøtze's work examines rule of law challenges in digital governance, public accountability, and administrative systems. Key areas include: AI/digitalization impacts on legislation and administration Transparency mechanisms and freedom of information laws Whistleblowing protections for public employees Control frameworks (ombudsman systems, scrutiny commissions) Regulatory quality during crises (e.g., COVID-19 responses) External Engagements: Member of Danish Law on Freedom of Information revision committee (2024–2025) Assisting President of Energy Complaints Board (2013–present) Legal evaluator for Danish National Audit Institution (2020–present) Investigator in Nordic Waste environmental liability case (2025)