Find Academic Supervisors

Marianne Tang SeverinsenView profile

Clinical Professor

• Hematology
• Oncology
• Epidemiology
• +5 more

Marianne Tang Severinsen is a Clinical Professor at Aalborg University Hospital, affiliated with the Department of Haematology within the Faculty of Medicine. Her research focuses on hematological malignancies, epidemiology, and clinical outcomes. She leads studies on cancer treatment accessibility, environmental health risks (e.g., PFAS exposure in surfers), and disparities in cancer survival among immigrant populations. Her work integrates population-based cohort studies and register data to analyze disease incidence, treatment efficacy, and long-term outcomes. Her research interests span hematology, oncology, and public health, with a particular emphasis on acute and chronic leukemias, lymphoma, and the impact of environmental and pharmacological factors on hematological disorders. She has contributed to over 200 publications and datasets, including studies on second primary malignancies, work disability among cancer survivors, and the validation of diagnostic registers. Key areas of investigation include: Cancer recurrence and treatment-related toxicities Spatial and temporal trends in hematological malignancies Health equity in cancer care for vulnerable populations Environmental contaminants (e.g., PFAS) and health risks Her articles highlight trends in cohort-based studies, clinical trial participation, and the application of machine learning for survival prediction in Hodgkin lymphoma. She collaborates on national and international projects, including the Daliah trial and studies on minimal residual disease in multiple myeloma. Marianne supervises 6 PhD students and has received grants, including support from the Speciallæge Heinrich Kopps Legat. Her work bridges clinical practice, epidemiology, and policy, aiming to improve patient outcomes and healthcare equity.

Søren Vedding KoldView profile

Clinical Professor

• Orthopedic Surgery
• Hip Medicine
• Limb Lengthening
• +5 more

Søren Vedding Kold is a Clinical Professor at Aalborg University's Department of Orthopaedic Surgery within the Faculty of Medicine. He leads clinical efforts at Aalborg University Hospital and specializes in orthopedic surgery, particularly in hip dysplasia, limb lengthening, and surgical techniques. His work bridges clinical practice with technological innovation, including AI applications for infection detection and chatbot accuracy in reconstructive surgery. Education & Research Focus : His research emphasizes pediatric orthopedics, implant safety, and healthcare communication. Notable projects include developing digital communication systems for caregivers of disabled children and improving screening protocols for hip dysplasia in neonates. Awards & Recognition : He received the 2023 Klinisk Kvalitet Best Poster Award for his work on neonatal hip screening methodologies. Key Contributions : He has pioneered studies on limb lengthening devices (STRYDE nail complications), fracture surgery reoperation algorithms, and experimental bone-growth modulation techniques. His lab focuses on translating clinical challenges into AI-driven solutions for infection detection and surgical site monitoring.

Saeed PeyghamiView profile

Associate Professor

• Power Systems
• Power Electronics
• Reliability Engineering
• +3 more

Saeed Peyghami is an Associate Professor at Aalborg University's Applied Power Electronic Systems department within the Faculty of Engineering and Science. He holds a PhD in Electrical Engineering from Sharif University of Technology (2017) and has been a faculty member since 2021 after a postdoc at Aalborg. His research focuses on power system reliability, power electronics control, and quantum computing applications in energy systems. He leads and collaborates on projects like SOLARIS (Horizon Europe) and Pro-Risk (Denmark), addressing renewable integration, risk modeling, and grid resilience. Key projects include designing resilient microgrids, optimizing motor drives for high-speed applications, and probabilistic risk assessment for green energy systems. He supervises four PhD students, including work on integrated motor drives and electromagnetic interference mitigation. His work contributes to UN Sustainable Development Goals related to clean energy and infrastructure. Publications emphasize reliability-driven design, microgrid stability, and EMI mitigation in power electronics. He actively publishes in journals like IEEE Access and Renewable and Sustainable Energy Reviews, focusing on both theoretical advancements and practical implementations in modern power systems.

Roozbeh Izadi-ZamanabadiView profile

Professor

• Refrigeration System Engineering
• Fault Tolerant Control
• Control Strategy Optimization
• +5 more

Roozbeh Izadi-Zamanabadi is a Professor at the Department of Electronic Systems, Aalborg University, affiliated with the Technical Faculty of IT and Design. His expertise spans refrigeration system engineering, fault-tolerant control, and energy-efficient control strategies. He holds a PhD in Electronics and serves as a Lead Expert in Control Technology. Education: PhD in Electronics. Research interests focus on optimizing refrigeration systems, fault diagnosis, and energy management. Notable areas include supermarket refrigeration system control, hybrid systems, smart grid integration, and thermal energy storage. His work emphasizes resilience through fault-tolerant strategies and data-driven optimization. Key projects include the EDGE initiative for green energy distribution, reliable control of ship-mounted satellite antennas, and fault detection in hopper engine systems. Collaborations span hybrid systems, robotics, and satellite technology. Labs/Teams: Involved with the Green Lab and Aalborg University Space Center. Active in interdisciplinary projects combining control systems with energy and aerospace applications.

Nicklas Højgaard-Hessellund RasmussenView profile

Associate Professor

• Endocrinology
• Diabetes Research
• Bone Health
• +3 more

Nicklas Højgaard-Hessellund Rasmussen is an Associate Professor at Aalborg University, affiliated with the Department of Clinical Medicine at Aalborg University Hospital and the Department of Endocrinology. His research focuses on diabetes complications, bone health, fracture risk, and endocrine disorders, with a particular emphasis on epidemiological studies and clinical outcomes. He holds dual affiliations with Steno Diabetes Center North Denmark and Aalborg University, combining academic and clinical expertise. His research interests include the interplay between diabetes, bone metabolism, and fracture risk, as well as the effects of medications like glucocorticoids on metabolic health. He has received the DDEA Early-Career Researcher Award 2024 for his contributions to advancing understanding of diabetes-related fracture risks. His work bridges clinical practice and public health, aiming to translate research into improved patient care and societal benefits. Rasmussen has published extensively, with over 38 peer-reviewed articles and datasets, including a notable study on neural network models for body composition prediction. He collaborates actively with researchers across disciplines, contributing to conferences and media outreach.

Cino PertoldiView profile

Professor

• Conservation biology
• Evolutionary biology
• Genetics
• +3 more

Cino Pertoldi is a Professor at the Department of Chemistry and Bioscience, Aalborg University, affiliated with the Faculty of Engineering and Science. His research focuses on conservation biology, evolutionary biology, genetics, and ecology. He leads and participates in multiple research projects, such as AI-based wildlife monitoring and virtual fencing systems. His work involves interdisciplinary approaches using drones, machine learning, and genomics to address ecological challenges. Education: Not explicitly stated in the provided text. Projects: AI methods for predator identification via thermal drones (2025-2025) eDNA tracking of mink and foxes in waterways (2024-2026) Historical morphometrics of European bison skulls (2023-2026) Research Interests: Wildlife conservation, genomics of endangered species, habitat monitoring, and technological innovations in ecology. Notable contributions include studies on European bison genomics, raccoon dog diets, and thermal imaging for hare monitoring. His work often integrates citizen science and advanced technologies to enhance ecological understanding and conservation strategies. Grants/Projects: Over 13 projects since 2016, including collaborations on virtual fencing and drone-based wildlife surveillance. He has supervised 2 PhD students. Labs/Teams: Involved in environmental biomonitoring initiatives at AAU Arctic and collaborates with institutions like Aalborg Zoo and Vejlerne nature reserve.

Anca-Simona HorvathView profile

Researcher

• Computational Design
• AI in Architecture
• Bio-technologies in Creative Practices
• +5 more

Anca-Simona Horvath is a Guest Researcher at Aalborg University's Department of Communication and Psychology, affiliated with The Faculty of Social Sciences and Humanities. She leads the Art, Aesthetics & Health Research Laboratory for Art and Technology, focusing on intersections between emerging technologies (AI, bio-technologies) and creative practices. Her work addresses broader cultural contexts through design-based research, spanning scales from footwear to urban planning. Education: PhD in Architecture, with professional experience as an architect and computational designer in Romania and Denmark. Research contributions span architectural humanities, computational design, and digital art, with publications in journals like Frontiers of Architectural Research and International Journal of Architectural Computing . Research interests include AI-driven conceptual architecture, bio-crafting with mycelium, and STEAM education for sustainability. Key projects include Environmental Knowledge in the Digital Anthropocene (EKoDA) and Agency for Resilience (ActRes), addressing climate resilience and interdisciplinary collaboration. She has received awards such as the Teacher of the Year (2019) and Young Researcher Grant (2013). Her recent articles explore AI tool adoption in architecture, generative adversarial networks in form generation, and fungal bio-technologies in design. She actively participates in peer review for journals like Buildings and conferences like CAADRIA, and advises on EU Horizon Europe energy projects. Labs/Teams: Leads the Research Laboratory for Art and Technology , collaborating with initiatives like MASSHINE and Green Societies . Her work intersects environmental humanities, digital art, and sustainable design, contributing to UN SDGs related to climate action and sustainable cities.

Russa BiswasView profile

Assistant Professor

• Large Language Models
• Knowledge Graphs
• Natural Language Processing
• +3 more

Russa Biswas is an Assistant Professor in the Department of Computer Science at Aalborg University, Denmark. Their research focuses on Large Language Models, Knowledge Graphs, and Natural Language Processing, with a particular emphasis on multilingual systems, cybersecurity implications, and improving LLM factuality. Biswas holds a PhD in Computer Science from the Karlsruhe Institute of Technology, a Master’s degree from Saarland University, and completed a postdoctoral fellowship at the Hasso Plattner Institute (2023-2024). Education: PhD in Computer Science, Karlsruhe Institute of Technology (Embedding Based Link Prediction for Knowledge Graph Completion) Master’s in Informatik, Saarland University Postdoctoral Research at Hasso Plattner Institute (2023-2024) Research interests include combating LLM hallucinations through knowledge-graph grounded evaluation (e.g., MultiHal dataset), quantifying LLM vulnerabilities, and enhancing factuality via scalable reasoning techniques. Their work addresses cross-lingual challenges, embedding inversion attacks, and typological analysis of linguistic systems. Recent publications explore topics like multilingual dataset creation, security implications of LLMs, and knowledge-graph completion. Biswas collaborates widely, with contributions to venues like AAAI, NAACL, and the Journal of Web Semantics.

Juan Manuel RodriguezView profile

Assistant Professor

• Recommender Systems
• Web Services
• Deep Learning
• +3 more

Juan Manuel Rodriguez is an Assistant Professor in the Department of Computer Science at Aalborg University, Denmark. His affiliation is within The Technical Faculty of IT and Design, specializing in Data, Knowledge, and Web Engineering. Dr. Rodriguez holds a PhD in Computer Science and has a strong focus on research areas including Recommender Systems, Web Services, Deep Learning, and Social Media Analysis. His work often intersects with applications in information retrieval, healthcare systems, and crisis management. His research explores topics such as misinformation detection, transformer-based news recommendation, and clinical data analysis using knowledge graphs. He has contributed to projects like HEREDITARY (2024–2027), which integrates heterogeneous data for gut-brain research. Rodriguez has also engaged in media collaborations, including work highlighted in 'Udforsker Mars: Studerende fra Aalborg samarbejder med NASA' (June 2024). Key technical interests include leveraging neural networks for user behavior modeling, optimizing retrieval systems, and addressing ethical challenges in AI. His recent publications (2020–2025) span domains from pandemic mental health tracking to parking availability prediction, reflecting a multidisciplinary approach to computational challenges.

Jørgen StamhusView profile

Associate Professor

• Labor Economics
• Public Policy
• Labor Market Policy
• +3 more

Jørgen Stamhus is an Associate Professor at Aalborg University Business School within The Faculty of Social Sciences and Humanities. His research focuses on labor markets, public and private wage setting mechanisms, non-compete agreements, and technology's impact on workforce skills. He holds a Cand. oecon and Ph.D. in economics. Key research areas include labor market policy in Denmark, economic effects of wage systems, and the Fourth Industrial Revolution's influence on work organization. He has contributed to studies on robots/AI impacts, public sector innovation, and benefit generosity's macroeconomic effects. Active in research projects since 1999, he leads initiatives like 'Kompetencer i aktion' and 'TASKS: Technologies and Skills in Denmark.' Editor for Økonomi & Politik journal and frequent speaker at conferences/seminars.

Simon BøghView profile

Associate Professor

• Deep Reinforcement Learning
• Space Robotics
• Industrial Robotics
• +5 more

Simon Bøgh is an Associate Professor at the Department of Electronic Systems within The Technical Faculty of IT and Design at Aalborg University. His research focuses on Deep Reinforcement Learning applied to space robotics , industrial robotics , and industrial processes , emphasizing autonomous decision-making through trial-and-error learning and integration of human expert demonstrations. Key areas include robotics control systems, predictive analytics, and AI-driven automation. He leads or participates in high-impact projects such as RIACT: Radical Innovation of Adaptive Cobot Technology and CAPeX: Pionercenter for Accelerating P2X Materials Discovery . His work contributes to UN Sustainable Development Goals related to Industry and Production, leveraging Industry 4.0 technologies like IoT and predictive analytics. Education: Not explicitly stated in provided texts. Research Highlights: Development of reinforcement learning frameworks for planetary rovers (e.g., RLRoverLab), corrosion detection systems, and collaborative robot control. Dr. Bøgh has received prestigious awards, including the Novo Nordisk Foundation's Prize for Excellence in Technical Science Teaching (2025) and the IEEE iSpaRo 2024 Best Paper Runner-up Award . He actively engages in academic and industrial collaborations, delivering talks on AI in robotics and space exploration. His research group collaborates with industry partners and academic institutions globally, addressing challenges in autonomous systems , robotic manipulation , and smart manufacturing . Current lab activities include advancing reinforcement learning algorithms for space exploration and industrial process optimization.

Mikkel Meyer AndersenView profile

Associate Professor

• Forensic Genetics
• Statistical Analysis of DNA Evidence
• Biostatistics
• +3 more

Mikkel Meyer Andersen is an Associate Professor in the Department of Mathematical Sciences at Aalborg University, Denmark, within The Faculty of Engineering and Science. His research focuses on forensic genetics, statistical analysis of DNA evidence, and the application of mathematical models to evaluate genetic data. He specializes in Y-chromosome and mitochondrial DNA analysis, contributing to forensic investigations through methodologies like the discrete Laplace method for haplotype frequency estimation. He has participated in research projects such as Y Chromosome DNA Analysis (2010–2013) and Statistical models for forensic DNA data (2010–2012). His work bridges theoretical statistics with practical forensic applications, including collaborations on DNA evidence interpretation and genetic genealogy. Andersen is also actively involved in public engagement, appearing as an expert in media, television, and podcasts to discuss forensic science and DNA analysis. His research outputs include over 68 publications, datasets on DNA methylation and SNP genotyping, and impactful contributions like the DNAtools R package for forensic data analysis. He frequently presents at conferences and public forums, emphasizing the societal implications of forensic genetics. His recent work addresses advancements in next-generation sequencing and probabilistic genotyping methods for forensic applications. Andersen’s contributions have assisted law enforcement agencies, notably Norwegian investigators, through mathematical models for DNA evidence evaluation. His interdisciplinary approach integrates biostatistics, genetics, and computational methods to advance forensic science and public understanding of genetic evidence.

Sergey KucheryavskiyView profile

Associate Professor

• Spectroscopy
• Chemometrics
• Image Analysis
• +5 more

Sergey Kucheryavskiy is an Associate Professor at Aalborg University's Department of Chemistry and Bioscience within the Faculty of Engineering and Science. His research focuses on spectroscopy, chemometrics, and environmental applications, particularly in chemical process optimization and data-driven methodologies. He holds a Cand. in Physics from Altai State University (1997) and a PhD in Physics and Mathematics from the same institution. Key research areas include H2S scavenging in offshore gas production, waste valorization, and advanced data analysis techniques such as multivariate curve resolution and machine learning. He has led or participated in 17 projects, including EUDP-funded initiatives like INNO-H2S and Zero H2S-DEMO, emphasizing sustainable chemical processes and environmental solutions. His teaching excellence was recognized with the title of 'Årets Underviser' (Teacher of the Year) in 2016. Kucheryavskiy has authored over 150 publications, with recent work spanning anomaly detection via infrared thermography, green H2S scavengers, and bioenergy potential assessments. His contributions extend to educational initiatives, such as developing data science learning materials for students. PhD Supervision: 2 students Grants: EUDP, Danish Offshore Technology Center, and others Labs/Teams: Chemical and Bioengineering group, involved in collaborative projects with industry partners like OKEA ASA

Christian MaiView profile

Research Fellow

• Robotics
• Underwater Robotics
• Sensing Technologies
• +5 more

Christian Mai is a Research Fellow at Aalborg University (AAU) in the Faculty of Engineering and Science, Esbjerg Energy Section, specializing in robotics and sensing technologies for terrestrial and underwater environments. He contributes to AAU BLUE – Marine & Maritime Research with expertise in low-cost hardware, open-source software, and digital twin simulations for offshore applications. Education: PhD in Engineering (Cyberphysical Systems) from University of Southern Denmark (2016-2019, awarded 2020) MSc in Information Technology (Intelligent Reliable Systems) from Aalborg University (2012-2014) BSc in Electronics and Data-technology from Aalborg University (2009-2012) Mai's research integrates robotics, computer vision, and digital twins to solve marine challenges including underwater vehicle localization, marine growth monitoring, and offshore fault detection. His work emphasizes cost-effective solutions using consumer hardware and open-source frameworks, directly supporting UN Sustainable Development Goals for clean energy and sustainable infrastructure through innovations in offshore wind farm maintenance. Recent publications (2024-2025) reveal strong trends in underwater AI-driven sensing , with hyperspectral imaging for object segmentation and synthetic data generation for marine-growth analysis dominating his output. Key focus areas include thruster propeller diagnostics, marine-fouling composition estimation, and acoustic simulation for underwater navigation, reflecting his dual emphasis on theoretical algorithms and field-deployable systems. Scientific Awards: MSCA Certificate of Excellence (2025) Innovation Project of the Year (2024) Best Session Paper Award (2022) Esbjerg University Price (2016) Mai serves as Principal Investigator for AAU-funded projects including Virtual acoustic underwater simulations (2024) and Virtual underwater environments (2023), while participating in EU/national grants like ACOMAR (EUDP-funded marine growth removal) and DIN-ECO (EIT DIGITAL digital innovation). His grant portfolio demonstrates strong industry-academia collaboration in offshore robotics, with funding spanning simulation tools, sensor development, and autonomous systems for renewable energy infrastructure. Within AAU BLUE, Mai collaborates in interdisciplinary teams developing next-generation underwater robotics for offshore wind farm inspection and maintenance. His lab work combines hardware prototyping, sensor fusion, and digital twin validation, with current efforts focused on acoustic simulation environments and cost-effective marine-fouling monitoring systems for operational deployment.

Daniel Ortiz ArroyoView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +9 more

Daniel Ortiz Arroyo is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Intelligent Energy Systems and Flexible Markets department. His research focuses on AI-driven solutions for energy systems, wastewater treatment optimization, robotics, and deep learning applications in industrial systems. He leads and collaborates on projects such as AITEKS (AI for Tech Support), OPTIMIZE (Deep Reinforcement Learning in Fermentation), and amphibious drone development for infrastructure inspection. Key research areas include reinforcement learning for environmental control systems, synthetic data generation for defect detection, and predictive modeling in wastewater treatment. His work integrates machine learning with physical systems to enhance efficiency and sustainability. Notable contributions include grey-box models for N₂O dynamics and amphibious quad-rotor designs for pipeline inspection. Dr. Arroyo has contributed to over 97 publications, including peer-reviewed journal articles and conference proceedings, focusing on AI applications in energy, environment, and robotics. He actively participates in editorial peer review for journals like Evolutionary Intelligence and CRC Press . His projects involve collaborations with industry partners like Novo Nordisk Foundation and Innovation Fund Denmark, addressing challenges in microbial fermentation, fiber rope inspection, and wind turbine maintenance. He maintains a strong emphasis on data-driven innovation and interdisciplinary research.