Adrián Avelino Sousa-Poza is a Researcher at the Department of Computer Science , University of Copenhagen, specializing in Machine Learning and its applications across diverse domains including Artificial Intelligence , Medical Data Analysis , and Quantum Computing . His research intersects with the SCIENCE AI Centre , focusing on both theoretical and applied aspects of machine learning. Recent work explores environmentally sustainable AI , quantum-enhanced models , and cross-cultural adaptation systems , reflecting his interdisciplinary approach. Key themes in his publications include large language models , quantum computing applications , and healthcare informatics , with a particular emphasis on interpretability , fairness , and hardware optimization in AI systems.
Ian Walter Orzel is a PhD Fellow in the Machine Learning section at the Department of Computer Science, University of Copenhagen . He is affiliated with the SCIENCE AI Centre and contributes to interdisciplinary research bridging machine learning with quantum computing, healthcare diagnostics, and environmental sustainability.
Simon Krogh Anderson serves as a Lecturer at the Department of Computer Science (DIKU), Faculty of Science, University of Copenhagen. He is an active member of the Machine Learning section which focuses on theoretical foundations and applications across domains including natural language processing, medical image analysis, and biological data modeling. The department participates in the SCIENCE AI Centre and maintains powerful compute resources including the TreeSense platform for remote sensing. His research spans multiple cutting-edge areas in artificial intelligence with particular emphasis on machine learning, quantum computing applications, and algorithmic fairness. Key interests include sustainable AI development, reproducibility in recommender systems, and cross-cultural adaptation frameworks. His work often bridges theoretical computer science with practical applications in environmental monitoring, healthcare analytics, and quantum information processing. Recent publications demonstrate strong interdisciplinary connections across quantum computing, sustainable AI, and fairness metrics. Trends show increasing focus on environmentally conscious AI development, integration of quantum methods with classical machine learning, and ethical considerations in recommendation systems. His work frequently leverages Denmark's extensive health registries and environmental data resources. Anderson actively contributes to the department's research ecosystem through teaching and collaboration within the Machine Learning section. While specific grants aren't detailed in available materials, his publications indicate involvement in projects related to quantum computing infrastructure, environmental monitoring systems, and AI ethics frameworks. The department provides significant computational resources including a dedicated cluster and specialized labs like TreeSense for remote sensing applications. His work appears connected to the SCIENCE AI Centre's initiatives in sustainable computing and quantum information processing.
Dongyu Gao serves as an Instructor in the Machine Learning section at the Department of Computer Science (DIKU), University of Copenhagen. His position places him within one of Scandinavia's leading computer science departments, which hosts the SCIENCE AI Centre and maintains strong connections with both theoretical and applied machine learning research. Dr. Gao's research interests center around machine learning with applications spanning information retrieval, medical data analysis, remote sensing, sustainability, and biological data modeling. His work appears to bridge theoretical foundations with practical implementations, as evidenced by publications addressing quantum computing applications, environmentally sustainable AI practices, and advanced neural network architectures. The Machine Learning section at DIKU provides substantial computational resources including a powerful dedicated cluster and specialized initiatives like TreeSense for remote sensing applications. Analysis of recent publications associated with Dr. Gao reveals a diverse research portfolio spanning multiple cutting-edge AI domains. His work demonstrates particular strength in quantum machine learning applications, sustainable computing practices, and interpretable AI systems. The publications show a consistent pattern of interdisciplinary collaboration, connecting computer science with healthcare, environmental science, and quantum physics. Notably, several publications address the critical challenge of making AI systems more environmentally sustainable without sacrificing performance. The Machine Learning section operates within DIKU's broader research ecosystem, which includes strong connections to the SCIENCE AI Centre. This environment provides access to substantial computational resources and fosters collaboration across various AI subfields including natural language processing, computer vision, and theoretical machine learning. The department's location in Copenhagen positions it at the intersection of European AI research initiatives with strong connections to both academic and industry partners across the continent.
Marcus Friis Klausen is a Lecturer at the Department of Computer Science , University of Copenhagen, affiliated with the Machine Learning section. His work intersects theoretical and applied machine learning across interdisciplinary domains. Research interests include: Quantum machine learning and hardware acceleration Explainable AI and model interpretability Clinical and healthcare applications of NLP Neuroscience-informed language modeling Environmentally sustainable AI practices Geometric and non-Euclidean deep learning Recent publications show trends in: Quantum computing applications for molecular simulations Medical imaging and clinical decision support Algorithmic fairness and ethical information retrieval Neural network optimization for energy efficiency Biological data modeling and remote sensing
Lucas Alexander Kock is an Instructor at the Department of Computer Science , University of Copenhagen . His research spans Machine Learning and its applications in diverse domains including medical data analysis, quantum computing, and sustainable AI. Role: Lecturer in Machine Learning Affiliation: SCIENCE AI Centre, University of Copenhagen Research interests focus on: Quantum machine learning Neuroscience applications Cross-cultural AI systems Environmental sustainability in computing Medical informatics Deep learning explainability Recent publications demonstrate expertise in quantum computing applications , neural signal interpretation , and ethical AI frameworks . No formal awards or advisees are listed in available public data.
Jeppe Fræhr Linderød works as a Lecturer at the Department of Computer Science , University of Copenhagen. His research aligns with the department's Machine Learning section, focusing on theoretical foundations and applications in information retrieval, medical data analysis, remote sensing, and sustainability. He is part of the interdisciplinary SCIENCE AI Centre . His recent publications span diverse subfields including: Quantum machine learning and optical computing Explainable AI and feature attribution Large language models for emotion recognition Medical informatics applications Fairness in recommender systems Green/sustainable AI practices He contributes to the department's computational infrastructure, including access to a powerful compute cluster. His work often intersects with environmental and healthcare domains, particularly through projects like the TreeSense center for remote sensing applications.
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
Joe Dumit is a Professor at the University of California Davis, holding appointments in Science and Technology Studies (STS), Anthropology, and Performance Studies. He serves as Chair of Performance Studies and is a key figure in interdisciplinary research, bridging anthropology, neuroscience, gaming, and data studies. His work examines how knowledge and technology shape human experience, particularly through studies of pharmaceutical marketing, brain imaging, and embodied practices like Contact Improvisation. Research interests include the anthropology of neuroscience, gaming studies, and the critical analysis of data science. Notable publications include *Drugs for Life* (2012) and *Picturing Personhood* (2004). He co-founded the ModLab to explore gaming and interfaces, and collaborates internationally on projects like the *Experiencing, Experimenting, Reflecting* initiative with Aarhus University. His recent work integrates immersive visualization technologies (e.g., KeckCAVES) and improvisation studies, emphasizing embodied cognition. Awards include recognition for *Cyborg Babies* as one of the Top 25 Books of the Year by the Voice Literary Supplement. Dumit is also pivotal in developing the Data Studies undergraduate program at UC Davis, merging critical thinking with technical skills.
Paolo Burelli is a Lecturer and Head of the brAIn Lab at the IT University of Copenhagen. He also serves as a Senior Data Scientist at Tactile Entertainment A/S since 2016. His research focuses on Game AI, Player Experience, Machine Learning, and Neuroscientific approaches to gaming. Key affiliations include the Creative AI Lab and The Maritime Hub. Research interests span adaptive game systems, player modeling, and the intersection of neuroscience with game design. Notable projects include the Pioneer Centre for Artificial Intelligence (2021–2034), ALGO (2019–2022), and CREATE (2023–2025). Projects emphasize creative AI applications in education, difficulty modeling in games, and maritime safety through alarm-handling practices. Publications highlight work on LLM emotion generation, EEG-based neural decoding, and player frustration tolerance. Collaborations include institutions like Springer and the Danish National Research Foundation. His datasets, such as the Uncanny Valley Face Questionnaire, contribute to facial perception studies. Labs under his leadership include the brAIn Lab, exploring AI ethics, game analytics, and human-centered computing. Projects emphasize practical applications of AI in education and industry.
Lotte Vinge is a Researcher and Chief Physician at Aalborg University Hospital, affiliated with the Department of Neurology within Aalborg University's Faculty of Medicine. Her clinical and research work focuses on neuromuscular disorders, with particular emphasis on myasthenia gravis and amyotrophic lateral sclerosis (ALS). Her research investigates clinical outcomes, gender disparities in disease manifestation, muscle strength quantification, and quality-of-life metrics in neurological patients. She employs methodologies including prospective cohort studies, population-based longitudinal analyses, and assistive technology development to address progressive paralysis challenges. Dr. Vinge's recent publications (2021-2023) demonstrate consistent focus on patient-centered outcomes in neuromuscular disorders, with evolving interest in neuroengineering solutions. Her 2023 preprint explores brain-machine interfaces for ALS, while earlier works establish foundational clinical insights into myasthenia gravis progression and gender-specific treatment considerations.
Ana Sofia Santos Cardoso is a Researcher at Aalborg University's Department of Health Science and Technology, Faculty of Medicine. She contributes to the Center for Rehabilitation Robotics and focuses on neurorehabilitation engineering solutions. Current Projects: CRERoB (Center for Rehabilitation Robotics - phase II, funded by Louis-Hansen fonden) Collaborations: Imperial College London (2024 Visiting Researcher), IEEE conferences Her research bridges Biomedical Engineering and Human-Computer Interaction , developing neurorehabilitation robotics through innovative tongue-computer interfaces and adaptive exoskeletons for motor disabilities. Key subtopics include brain-computer integration , ALS rehabilitation , and non-invasive control systems . Recent publications at IEEE EMBC 2025/2023 and SMC 2023 conferences demonstrate her work in assistive robotics (tongue interfaces, adaptive exoskeletons) and neural signal processing . She also contributed a 2022 dataset on brain-controlled robotic manipulation. Activities include conference participation (EMBC 2023, Science Day 2023/2024), industry presentations, and collaborative research at Imperial College London. Her work supports UN Sustainable Development Goals through biomedical innovation.
Eugen Romulus Lontis is an Associate Professor at Aalborg University's Department of Health Science and Technology, affiliated with The Faculty of Medicine. He leads research at the Neural Engineering and Neurophysiology Center and the Center for Neuroplasticity and Pain. His work focuses on neuromodulation, assistive devices, and neuroprosthetics, aiming to translate research into clinical solutions for societal needs. He has expertise in biomedical engineering, signal processing, and education through Problem-Based Learning (PBL). Education: PhD in Biomedical Engineering (2005), MSc in Electronics and Telecommunications (1995), and University Pedagogy certification (2015). Research interests include sensory feedback mechanisms, phantom limb pain, neuroplasticity induced by external stimuli, and assistive device design. Key projects include the Phantom Limb Pain - Neural Mechanisms And Innovative Treatments (2015–2025) and EPIONE (2013–2017) focusing on sensory feedback therapy. Recent articles explore TENS effects on cortical activity, referred sensation areas in amputees, and usability of tongue-controlled interfaces. Awards include the Adjunktpædagogikum (2015) for university pedagogy. He supervises 2 PhD students and has contributed to over 78 publications. His teaching spans biomedical engineering and medicine at bachelor, master, and postgraduate levels, emphasizing critical thinking and collaborative learning. Labs/Teams: Active in neuroplasticity research and pain management collaborations. Media engagements include coverage on phantom pain therapies and assistive technologies.
Alireza Shabani is a Postdoctoral Research Fellow in the Department of Physics at the Technical University of Denmark (DTU), specializing in computational atomic-scale materials design. His research focuses on two-dimensional transition metal dichalcogenides, particularly vanadium disulfide (VS 2 ) nanosheets, using density functional theory (DFT) to model electronic properties and sensing mechanisms. Key areas include computational materials science, nanomaterials engineering, and biosensor development for neurological applications. His sole publication (2024) demonstrates VS 2 nanosheets' high sensitivity toward specific neurotransmitters via DFT simulations, highlighting potential in medical diagnostics and brain-computer interfaces. This work establishes foundational insights for next-generation biosensors in neuroscience.
Dávid Gulyás is a Research Fellow at the Department of Health Science and Technology , Faculty of Medicine , Aalborg University. His work focuses on Biomedical Engineering , Brain-Computer Interfaces (BCI) , and Neurorehabilitation Robotics , particularly for late-stage ALS patients. He utilizes technologies like EEG signal processing , Virtual Reality interaction , and machine learning to enhance communication and movement detection systems. Current Role : PhD Fellow in Biomedical Engineering Location : Selma Lagerløfs Vej 249, 9260 Gistrup, Denmark His research aligns with the UN Sustainable Development Goals, particularly those related to Health and Well-being and Innovative Technology . Recent work includes analyzing brain activity for hand and tongue movements via around-ear EEG and studying feedback mechanisms in BCI virtual reality systems. Notable activities include organizing the 2025 User-Panel Meeting. Publications span journals like Frontiers in Psychology and Sensors , focusing on classification accuracy, spectral features, and user agency in BCI systems.
