Anders Søgaard is a Professor at the University of Copenhagen , affiliated with both the Department of Computer Science and the Department of Communication. His research bridges Natural Language Processing and Machine Learning with a focus on AI ethics , explainability , and human-AI interaction . Primary Affiliation: Department of Computer Science, University of Copenhagen Secondary Affiliation: Department of Communication, University of Copenhagen Email: soegaard@di.ku.dk, soegaard@hum.ku.dk Research Interests His work spans Natural Language Processing , Machine Learning , and AI ethics , with recent studies addressing: Trustworthiness in AI systems Explainable AI (XAI) frameworks Multilingual model fairness and alignment Human-AI collaboration in reasoning tasks Ethical implications of social robots Mental health analytics using ML Recent Publications His 2025 output highlights trends in: AI ethics (e.g., fairness metrics, trustworthy systems) Multilingual model analysis (knowledge retention, cross-lingual transfer) Human-centric AI (gaze data, cultural considerations) Applications in healthcare and social good
Zoran Cenev holds a Tenure Track Assistant Professor position within the Mechatronics and Dynamics section of the Department of Mechanical and Production Engineering at the School of Engineering, Aarhus University. His primary institutional affiliation is with AU Engineering, and contact details include email zoran.cenev@mpe.au.dk and telephone +45 20 64 75 44, with office location Aarhus N, 5128-140. Research interests focus on interdisciplinary applications of magnetic and robotic systems: Robotic micromanipulation via electromagnetic needles Ferrofluid-based biofabrication for skeletal muscle engineering Laser-induced photothermal droplet control Theoretical modeling of particle dynamics at fluid interfaces Surface engineering for underwater metallic stability Nanostructure formation through ion bombardment His recent publications (2023-2025) reveal a dominant trend in adapting ferrofluids for biomedical automation, particularly 3D bioprinting of magnetically responsive tissues and droplet manipulation on engineered surfaces. This work bridges mechanical engineering with regenerative medicine, emphasizing practical implementations of theoretical models for microscale precision. Scientific awards are not documented in the provided information. As a faculty member, Dr. Cenev likely mentors graduate students and pursues research grants, though specific advisees or funding details are absent. Departmental laboratories and workshops support his experimental work in mechatronics, with emphasis on magnetic manipulation systems and surface characterization.
Mikael B. Skov is a Vice Dean and Professor at the Technical Faculty of IT and Design of Aalborg University , Denmark. His research spans human-AI interaction, robotics, and user experience, with a focus on trust signaling in clinical AI, swarm robotics, and sound zones for domestic environments. Role: Vice Dean for Research Department: Computer Science Research Interests: Skov investigates how humans interact with AI and robots in healthcare and domestic settings, emphasizing trust calibration, alert design, and acoustic comfort. His work includes developing frameworks for UX maturity in robotics organizations and studying long-term adoption of sound zone systems. Recent Projects: As principal/co-investigator, he leads the HERD project on human-AI collaboration in robot swarms (2021–2025) and supervises Data og Bæredygtig Mad (2020–2023), an HCI perspective on sustainable food systems. Publications: His 2024 work includes studies on AI explanations in clinical training, music applications with intermittent interactions, and multi-robot supervision. Earlier projects (2001–2020) focused on mobile device usability, UX practices, and context-aware computing.
Melih Kandemir is an Associate Professor at the Department of Mathematics and Computer Science, Southern Denmark University. He also serves as Research Group Leader at the Bosch Center for Artificial Intelligence (2018–2021) and held a previous role as Assistant Professor at Ozyegin University (2017–2018). His research focuses on machine learning, Bayesian methods, reinforcement learning, and uncertainty quantification. **Education**: PhD in Computer Science from Aalto University (2013), specializing in 'Learning Mental States from Biosignals'. **Research Interests**: Machine Learning, Bayesian Inference, Reinforcement Learning, Deep Neural Networks, Stochastic Processes. His work emphasizes theoretical foundations and practical applications in domains like medical imaging, control systems, and robotics. **Awards**: Two Best Paper Awards (2017). **Grants & Projects**: Includes the Carlsberg Young Researcher Fellowship (2022–2026), Novo Nordisk Foundation grants (2021–2024), and DFF-funded research on PAC-Bayesian reinforcement learning (2025–2027). **Labs/Teams**: Leads research on Bayesian deep learning and reinforcement learning within the Bosch Center for AI and SDU's interdisciplinary groups.
Kim Bjerge serves as Associate Professor and Group Leader in Aarhus University's Department of Electrical and Computer Engineering, specializing in computer vision and machine learning applications for ecological monitoring. His research bridges engineering and environmental science to develop innovative solutions for insect biodiversity assessment and sustainable agriculture. His core research interests include computer vision, deep learning, and edge computing systems for real-world ecological monitoring. Dr. Bjerge develops time-lapse camera pipelines and deep learning models specifically for insect population tracking in natural environments, with emphasis on agricultural applications like black soldier fly farming and biodiversity conservation. His work integrates signal processing techniques with biological data to create field-deployable monitoring systems. Recent publications reveal a strong trend toward practical implementations of computer vision in entomology, particularly focusing on edge processing for camera traps, automated trait prediction in insect farming, and biodiversity monitoring systems. Key research areas include nocturnal insect monitoring, floral environment analysis, and developing specialized datasets like AMI for insect identification in wild settings. He leads multiple significant research projects funded through competitive grants: MAMBO: Modern Approaches to Monitoring Biodiversity (2022-2026) FLYgene: Sustainable Insect Production for Livestock Feed (2022-2026) Automatisk monitering af nataktive insekter: Automatic nocturnal insect monitoring (2024-2029) Pilotprojekt for automatisk registrering af invasive plantearter: Invasive species monitoring (2020-2021) As head of the Signal Processing and Machine Learning research group, Dr. Bjerge directs interdisciplinary teams developing computer vision solutions for biological monitoring systems. His laboratory focuses on creating robust field-deployable technologies including scanner-based arthropod imaging systems, time-lapse camera networks for floral environments, and edge AI processors for real-time insect monitoring in agricultural settings.
Mostafa Mohammadi is an Assistant Professor at the Department of Health Science and Technology, Aalborg University, affiliated with the Faculty of Medicine and Center for Rehabilitation Robotics. His research focuses on neurorehabilitation robotics, human-computer interaction, and telerehabilitation technologies for individuals with disabilities. Ph.D. in Biomedical Engineering (Aalborg University, 2018-2022) M.Sc. in Biomedical Engineering (Polytechnic University of Milan, 2015-2017) B.Sc. in Mechanical Engineering (Sharif University of Technology, 2011-2015) His work spans exoskeleton design, assistive robotics, and innovative interfaces like tongue-computer interfacing. Recent projects include the eMotivo digital health solution funded by Innovation Fund Denmark and intelligent tendon-driven exoskeletons for severe disabilities. Research outputs (33 total) emphasize adaptive robotics, motor impairment solutions, and wearable technologies. Collaborations span robotics, biomedical engineering, and clinical disciplines. Teaching includes courses in rehabilitation robotics, human-computer interaction, and digital systems for biomedical engineering. Scientific activities align with UN Sustainable Development Goals for quality education and reduced inequalities. Notable contributions include advancements in myoelectric interfaces and neurorehabilitation technologies.
Mikkel Lønborg Friis is a Clinical Associate Professor at Aalborg University, affiliated with the Department of Clinical Medicine under The Faculty of Medicine. He also serves as a senior consultant ( Ledende overlæge ) at Aalborg University Hospital, where he leads simulation-based training initiatives at NordSim – Centre for Skills Training and Simulation. His dual academic and clinical roles position him at the intersection of advanced surgical practice and innovative medical education. Clinical Associate Professor, Aalborg University Ledende overlæge (Chief Physician), Aalborg University Hospital Member, NordSim – Centre for Skills Training and Simulation His research interests focus on enhancing surgical and diagnostic competencies through technology-driven education. Key areas include simulation-based training, artificial intelligence in fetal and surgical ultrasound, robotic surgery assessment using deep learning, and curriculum development for cross-specialty ultrasound education. He actively contributes to improving clinical outcomes in pilonidal sinus disease and advancing AI integration in medical imaging. The recent publications highlight a strong trend toward interdisciplinary innovation, particularly in blending AI, simulation, and medical education. His work spans clinical surgery, educational methodology, and computational analysis of surgical performance. A significant portion of his research involves designing and evaluating training protocols, developing datasets for skill assessment, and exploring ethical and practical implications of AI in clinical settings. Mikkel Friis has not been publicly recognized with scientific awards in the provided text, but his leadership in simulation and curriculum design suggests significant institutional impact. He is involved in mentoring and advising through collaborative research projects, particularly in simulation and ultrasound education. While formal students are not listed, his role in study protocols and dataset creation implies supervision of junior researchers and medical trainees. He participates in funded or institutionally supported research activities related to medical education innovation and surgical technology. His involvement in press and media coverage further underscores his role as a thought leader in clinical simulation careers. Friis is deeply embedded in NordSim – Centre for Skills Training and Simulation, where he contributes to developing and implementing simulation-based assessment tools, particularly for abdominal ultrasound and surgical skills. His team collaborates across departments and institutions, focusing on creating standardized, scalable training models that integrate emerging technologies like AI and virtual reality.
Jens Grønlund serves as Chief Physician (Cheflæge) at Aalborg University Hospital, holding academic affiliation with The Faculty of Medicine and The Department of Cardiovascular Surgery at Aalborg University. His clinical and academic career spans over a decade with documented publications from 2009-2020 and significant media engagement in 2024 regarding innovative cardiac surgical techniques. His research expertise encompasses: Cardiac tumor diagnosis and management Cardiac magnetic resonance imaging applications Coronary artery bypass graft procedures Prosthetic valve endocarditis, particularly fungal infections Aspergillus-related cardiac complications Robotic-assisted cardiac surgery innovations Dr. Grønlund's publication record demonstrates consistent scholarly contribution to cardiovascular surgery, with particular focus on diagnostic precision to avoid unnecessary procedures. His 2015 paper on Aspergillus-related prosthetic valve endocarditis has garnered significant attention with 7 Scopus citations. Recent research has examined advanced imaging techniques for cardiac mass evaluation and decision-making protocols for cardiac tumor management. He has been prominently featured in Danish media throughout 2024 regarding robotic heart surgery techniques that eliminate the need for sternotomy (breastbone cutting), with coverage spanning multiple outlets including the landmark case of Denmark's first robot-assisted heart surgery. His work bridges clinical practice with academic inquiry, contributing to evidence-based approaches in cardiovascular surgical care.
Jonas Fritsch is an Associate Professor at the IT University of Copenhagen, affiliated with the Media, Art & Design School and the Center for Climate IT. He leads the Affective Interaction & Relations (AIR) Lab and serves as Principal Investigator (PI) for major projects like the VELUX-funded TRACE initiative (2023-2027) and the DFF-funded VOCAL project (2022-2025). His research focuses on affective interaction design, particularly in healthcare, emotional design, and the integration of cultural theory into HCI. Research Interests: His work explores affective healthcare design, embodied interaction, and interdisciplinary design methodologies. Recent projects include developing tools for patient-centered care, synthetic voice design frameworks, and affective engagement in extended reality (XR). Notable collaborations span Denmark and international partners, emphasizing human-technology relationships in care practices. Key Projects: TRACE investigates emerging human-technology interactions in care practices, while VOCAL explores novel vocal imaginaries through voice design. He has secured grants totaling over 8.5 million DKK, demonstrating impact in both academic and applied domains. Labs & Teams: As head of the AIR Lab, he fosters collaborative research on affective technologies. Media contributions include public installations like UDREDNING, which engages audiences in diagnostic processes through XR. He actively participates in conferences and review committees, emphasizing interdisciplinary dialogue in design and technology.
Izabela Ewa Nielsen is a Professor at Aalborg University's Department of Materials and Production under The Faculty of Engineering and Science. Her research focuses on artificial intelligence applications in operations research, unmanned aerial vehicles (UAVs), genetic algorithms, and mobile robotics. She holds a degree from Warsaw University of Technology (25 Oct 2025). Research Interests: Her work integrates AI with logistics optimization, health data analysis, and sustainable supply chains. Notable projects include the EU-funded 'Operational Reliability Management System (ORMS)' and 'UAWORLD', exploring UAVs in industrial settings. Projects & Collaborations: Leading ORMS (2016-2019) to enhance operational reliability through AI-driven solutions. Contributing to TAPAS (2010-2014), advancing robotics in factory automation. Co-developing ValuePole (2008-2011) for SME performance optimization. Advising & Grants: Supervised projects such as the EU classification methodology study (2022-2023) and contributed to over 6 major research initiatives. Her work frequently involves interdisciplinary teams and industry partnerships. Labs & Teams: Active in AI for Operations Research labs, collaborating with robotics and logistics experts. Her group focuses on real-world applications of autonomous systems in manufacturing and healthcare.
Silvia Tolu is an Associate Professor at the Technical University of Denmark's Department of Electrical and Photonics Engineering, specializing in Neurorobotics. She leads the NeuroRobotics Technology Lab (NRT-LAB), focusing on bio-mimetic control architectures for compliant robotic systems. Her research integrates neuroscience, computer science, and biology to develop solutions for assistive robotics and neurodegenerative disease diagnosis. Her research interests span: Neuro-robotics and neuromorphic engineering Bio-inspired control systems and adaptive motor control Machine learning for robotic applications Human-robot compliant interaction Cerebellar control models Publications primarily focus on neurorobotics, bio-inspired control, and human-robot interaction, with recent advances in learning-based control systems for soft robots and aerial manipulation. Awards include the AEG Elektrofonden Research Grant and funding for human-robot interaction safety research. Current projects include LOCOPD (Lundbeck Foundation), AEROTRAIN (EU Marie Curie ITN), and compliant human-robot interaction systems. She supervises multiple PhD students in neurorobotics and maintains international collaborations across Europe and Asia. Laboratory resources include advanced robotic platforms for musculoskeletal and soft robot control.
Ozan Karaali is a PhD Fellow at Aalborg University's Department of Electronic Systems within the Technical Faculty of IT and Design, Copenhagen. His research centers on wireless communications for 5G-connected assistive robotics and bionic limb systems, with active contributions to the CLIMB (Cloud Connected Bionic Limbs) project and teaching responsibilities in network engineering courses. His educational background includes a Master's in Informatics from the Technical University of Munich (TUM) and a Bachelor's in Computer Engineering from Anadolu University (AGU), providing foundational expertise in computer systems and informatics. Karaali's research spans Wireless Communications, 5G Connectivity, Bionic Limbs, Cloud/Edge Computing, and AI integration. His work bridges telecommunications infrastructure with healthcare applications, specifically developing low-latency control systems for prosthetic devices through 5G and edge computing architectures. Recent publications reveal a cohesive trajectory from AI in architectural design (2024) to specialized 5G applications for bionic limbs (2025), demonstrating interdisciplinary innovation at the intersection of networking, cloud systems, and medical technology. As an educator, he serves as Internal Co-examinator for IoT courses and leads Wireshark laboratory sessions for network courses. His research is supported through two major projects: the "5G-connected assistive robots" PhD project (2023-2026) and the ongoing CLIMB initiative, both advancing cloud-connected bionic systems. Within the CLIMB research team, Karaali collaborates with bionics and wireless communication specialists to develop real-time prosthetic control systems leveraging 5G infrastructure and edge computing, aiming to revolutionize user experience in assistive robotic technologies.
Anne Marie Kanstrup is a **Professor** and **Pro-rector** at **Aalborg University**, affiliated with the *Faculty of Social Sciences and Humanities* and the *Department of Culture and Learning*. Her research focuses on participatory design, assistive technology, and inclusive digital solutions for vulnerable populations, such as individuals with cognitive disabilities or severe physical impairments. She leads or participates in high-impact projects like the *Center for Rehabilitation Robotics*, developing exoskeletons and assistive technologies for severely disabled individuals. Her work emphasizes user involvement and interdisciplinary collaboration, addressing challenges in healthcare, education, and technology design. Key research themes include participatory design methodologies, digital coping strategies for youth with disabilities, and mobile health (mHealth) applications for chronic disease management. Her recent publications explore topics like exoskeleton usability, digital inclusion of disabled youth, and shared decision-making in healthcare. As Pro-rector, she drives initiatives such as the *PBL Digital Masterplan* to integrate digital learning tools into university education. Her activities include organizing workshops on creativity in technology design and advising on policies for health informatics and academic innovation. Notable projects include user-centered development of the EXOTIC exoskeleton and collaborative studies on mHealth applications for adolescents with knee pain. Her work bridges academic research with practical implementation, emphasizing societal impact and user empowerment.
Chris Bevan is an Honorary Research Fellow in the Department of Psychology at the University of Bath and currently teaches immersive technologies at the University of Bristol's School of Computer Science as part of the Bristol Interaction Group. He holds a PhD in Human-Computer Interaction (HCI) from the University of Bath, focusing on pervasive computing and trust in urban systems. His research spans virtual reality (VR), artificial intelligence (AI), social robotics, cybersecurity, and ancient history applications. He leads projects such as the Virtual Reality Oracle (VRO), exploring ancient divination through VR, and collaborates with institutions like Charisma.AI, Kilter Theatre, and the CREATE Laboratory. Key projects include AI in Antiquity (2025-2026), examining AI’s role in engaging with ancient history, and VRDocs (2017-2020), analyzing VR nonfiction media. His work often bridges academia, industry, and the arts, emphasizing ethical considerations and cross-disciplinary innovation. Notable awards include Honorable Mention Awards (2021, 2020) and a Best Paper Award (2016). Bevan’s research explores themes like attention synchrony in 360° video (2020), AI-driven museum interaction (2025), and the ethics of conscious AI in games (2024). He has pioneered location-based services (e.g., Mobile Bristol ) and contributed to foundational studies on trust in Wi-Fi hotspots (2008). His current projects address immersive documentary ethics, telepresence robotics, and VR’s societal impact.
Camilla Strøm serves as a Clinical Associate Professor within the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. Her clinical and academic work is based at the Capital Region of Denmark (Region Hovedstaden), with a physical address at Blegdamsvej 3, 2200 Copenhagen N, Denmark. This dual affiliation positions her at the intersection of academic research and clinical practice in Scandinavia's premier medical institution. Her research program centers on high-stakes perioperative challenges in complex head and neck procedures, with particular emphasis on robotic surgical integration and airway crisis management. Current investigations focus on optimizing tracheal intubation protocols for anatomically compromised patients and evaluating robotic surgery outcomes through systematic review methodologies. This work directly addresses critical safety gaps in surgical anesthesia where airway access and surgical precision are paramount. Analysis of her 2025 publications reveals a strategic focus on evidence synthesis for emerging surgical technologies. Both publications employ rigorous review frameworks to evaluate transoral robotic surgery outcomes and advanced intubation techniques, indicating her leadership in translating technical innovations into standardized clinical protocols. Her work bridges anesthesiology, surgical oncology, and biomedical engineering through collaborative research networks across Danish medical centers. No scientific awards or honors were documented in the source materials. While student mentorship activities are not explicitly detailed, her role as corresponding author on systematic reviews suggests involvement in graduate-level research supervision. No specific grant funding sources or project details were disclosed in the available documentation.
