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.
Hans Hüttel is an Associate Professor in the Department of Computer Science at Aalborg University's Technical Faculty of IT and Design. His research focuses on theoretical foundations of computer science with emphasis on programming languages and formal methods. His research interests span process calculi, type systems, concurrency theory, program synthesis, and security protocols. The fingerprint analysis of his work shows strong emphasis on Type Systems (100%), Process Algebra (27%), Cryptographic Protocols (22%), and Branching Time (18%). His recent work demonstrates a growing interest in the intersection of formal methods with emerging technologies like large language models. Hüttel's publication trend shows consistent output with 97 research outputs including 56 articles in proceedings, 17 journal articles, and 9 conference articles in journals. His most recent work (2024-2025) focuses on type systems for programming languages, program synthesis with LLMs, and functional array programming. Scientific Awards: CONCUR Test-of-Time Award (Sept 2020) Hüttel has participated in multiple research projects including TREsPASS (Technology-supported Risk Estimation by Predictive Assessment of Socio-technical Security), BETTY (Behavioural Types for Reliable Large-Scale Software Systems), and educational initiatives like PBL Exchange. He has 35 media appearances where he discusses topics ranging from AI ethics to university education reform. He leads research within the Distributed, Embedded and Intelligent Systems group and has been active in educational development through problem-based learning (PBL) initiatives at Aalborg University.
Josva Kleist is an Associate Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. He specializes in distributed systems, grid computing, and optical networking, with a focus on energy efficiency, middleware development, and process calculus theories. His research spans distributed computing architectures, including grid middleware (e.g., ARC), optical network optimization, and high-performance computing infrastructure for projects like the LHC. He contributed to the Danish Center for Grid Computing and the Network of Excellence on Embedded Systems Design (2004–2008), focusing on system management and resource allocation. Key research interests include: - Energy-efficient optical networks and survivable routing strategies - Grid middleware interoperability and modular design - Large-scale distributed storage and computational frameworks for scientific experiments - Formal methods for process calculi applied to mobile objects and distributed systems Recent work emphasizes cloud provider connectivity for research networks and traffic-aware elastic optical networks. Media coverage highlights his contributions to supercomputing energy efficiency and climate modeling infrastructure. Notable projects include building distributed Tier-1 computing centers for LHC data storage and analyzing network requirements for high-throughput scientific workflows. His work bridges theoretical foundations with practical implementations in distributed systems.
Asger Bjørn Jørgensen is an Assistant Professor at AAU Energy, Aalborg University, and Head of the Center of Digitalized Electronics (CoDE). He holds M.Sc. (2016) and Ph.D. (2019) degrees in energy engineering from Aalborg University, with postgraduate and visiting research experiences at UNSW (Australia) and North Carolina State University (USA). His research focuses on power module packaging, wide bandgap semiconductors, and digital design using multi-physics simulation. He leads projects like CoDE (funded by Poul Due Jensen Foundation) and LIME (Innovation Fund Denmark), advancing power electronics for sustainable energy systems. Key research interests include SiC MOSFET packaging, thermal management, and medium-voltage applications. He has received the 2020 EPE Outstanding Young EPE Member Award and co-authored over 70 publications. His work contributes to UN SDG 7 (Affordable and Clean Energy) and SDG 9 (Industry, Innovation, and Infrastructure). Projects like PtXKonvertering and Modular Power Converter highlight his focus on industrial and sustainable energy solutions. Recent publications explore topics such as SiC MOSFET modeling, partial discharge analysis, and medium-voltage power stacks. He actively participates in conferences, workshops, and media outreach to disseminate research findings and promote the green energy transition.
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.
Sam Riahi is a Clinical Professor and leading cardiologist at Aalborg University Hospital's Department of Clinical Medicine, affiliated with Aalborg University's Faculty of Medicine. His research focuses on atrial fibrillation, implantable cardiac devices, and innovative energy harvesting systems for medical implants. He leads major projects like the development of self-powered leadless pacemakers and vibration energy harvesting systems. Research interests include cardiac arrhythmias, device-based therapies, and biomedical engineering solutions. Over 266 publications demonstrate expertise in cardiac electrophysiology, clinical outcomes analysis, and medical device innovation. Key projects involve collaborations with institutions like Beta Health and the Danish Cardiovascular Academy. He supervises 13 PhD students and actively participates in professional organizations such as the Danish Cardiological Society. Media engagements highlight contributions to public health discourse and biomedical technology advancements.
Michael Skipper Andersen is a Professor in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science in Denmark. He leads research within the Section of Applied Systems Research Biomechanics and directs the Center for Mathematical Modelling of Knee Osteoarthritis. His work focuses on biomechanical analysis of knee joint mechanics, osteoarthritis progression, and musculoskeletal modeling. Andersen's research interests center on biomechanics with a strong focus on knee osteoarthritis. He employs mathematical modeling, experimental techniques, and clinical applications to understand joint mechanics, cartilage loading, and pain mechanisms. His work bridges engineering principles with clinical orthopedics, developing predictive models for knee osteoarthritis progression and innovative solutions for knee replacement surgery. He has made significant contributions to understanding how gait modifications, muscle strength, and joint loading affect knee health and disease progression. His recent publications (2023-2025) reveal a strong trend toward increasingly sophisticated biomechanical modeling of knee joint mechanics, with growing emphasis on clinical translation. His work spans multiple subfields including cartilage mechanics, gait analysis, joint laxity measurement, and knee replacement optimization. A notable focus is on developing predictive mathematical models of knee osteoarthritis (MathKOA project), personalized knee replacements (SPARK project), and robotic technologies for assessing knee injuries. His research demonstrates strong interdisciplinary collaboration across engineering, medicine, and clinical practice. Wearable Robotics Association's 2018 Innovation Challenge Grand Prize Winner (WearRAcon18) Mimics Innovation Award - Second Prize EMEA Region (2018) Winner of Fifth Grand Challenge Competition to Predict In Vivo Knee Loads (2014) Best research paper award: WHY DON'T ALL MALPOSITIONED RESURFACED CUPS HAVE HIGH WEAR? (2012) Andersen has secured substantial research funding from major Danish foundations including the Novo Nordisk Foundation, Independent Research Fund Denmark, and Innovation Fund Denmark. His current projects include MathKOA (2022-2027, Novo Nordisk Foundation), SPARK (2021-2025, Independent Research Fund Denmark), and several others focused on knee biomechanics and osteoarthritis. He supervises PhD students (5 mentioned in his profile) and collaborates extensively with clinical researchers and engineers across multiple institutions. His work has direct clinical impact, with media coverage highlighting potential applications for improving knee surgery outcomes and developing better knee prostheses. Andersen directs the Center for Mathematical Modelling of Knee Osteoarthritis and leads the Section of Applied Systems Research Biomechanics. His research group develops and applies advanced biomechanical modeling techniques, robotic measurement systems, and clinical assessment protocols. The team includes engineers, clinicians, and researchers working on mathematical modeling, experimental biomechanics, and clinical translation of their findings. Their work spans from fundamental biomechanical research to practical applications in knee replacement surgery and osteoarthritis management.
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
Niels Thomas Eriksen is an Associate Professor at the Department of Chemistry and Bioscience , Aalborg University, specializing in Bioprocess Technology and Microbial Communities . His work focuses on sustainable systems for insect cultivation, waste valorization, and microalgal biotechnology, aligning with UN Sustainable Development Goals for Industry, Innovation, and Environmental Sustainability. Key Research Areas: Insect-based feed production (black soldier fly, house fly) Waste-to-resource bioprocesses (brewery waste, food waste) Phycocyanin synthesis in Galdieria sulphuraria Dynamic modelling of larval metabolism and CO2 production Marine microbial ecology and sponge bioenergetics Recent Publications: 15+ studies on insect waste processing, bioreactor optimization, and microalgal CO2 capture, with a 2025 focus on Waste Management and Animals journal articles. Media Impact: Featured in 42+ media outlets (2024) for Danish insect farming initiatives and waste-to-feed innovations. Academic Service: Active peer reviewer for journals including Cleaner Waste Systems and Insects (2025).
Søren Højgaard Jensen is a Professor at the Faculty of Engineering and Science, Aalborg University, specializing in Solid Oxide Electrolysis (SOEC), Power-to-X (P2X) technologies, and renewable energy systems. His work focuses on improving electrolysis durability, optimizing thermal management, and advancing dynamic electrochemical processes for hydrogen and electro-fuel production. Projects: Leading initiatives like Robust And Dynamic Electrolysis for Power-to-X , DynEfuel , and DynAmmonia to enhance P2X scalability and efficiency. Collaborations: Partnerships with institutions and industry players to bridge fundamental processes with real-world applications. Research Trends: Recent publications highlight AC/DC dynamic operation, elevated pressure effects, and thermal gradient mitigation in SOEC systems, aligning with climate goals for carbon neutrality. Advising: Supervising PhD candidate Irfan Akhtar in SOEC durability research.
Xinxin Xiao is a Tenure Track Assistant Professor in the Department of Chemistry and Bioscience at Aalborg University, Denmark. Her research focuses on electrochemistry with applications in sustainable energy, health, and environmental solutions. She specializes in enzymatic bioelectrochemistry, electrocatalysis, and biofuel cells. Prior to joining AAU, Xiao held postdoctoral positions at the Technical University of Denmark (DTU) and earned her PhD in Chemistry from the University of Limerick, Ireland (2019). Affiliations: Applied Supramolecular Chemistry Group, Faculty of Engineering and Science Education: PhD in Chemistry (University of Limerick, 2019); Postdoc at DTU (2018–2022) Research Interests: Electrochemical charge transfer mechanisms, biofuel cell development, environmental electrochemistry, and bioelectronic medical devices. Her work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG7), good health and well-being (SDG3), and climate action (SDG13). Key Projects: Includes enzymatic bioelectrosynthesis for pharmaceuticals, self-powered wearables, and bioelectrochemical wound healing. She leads the EnBioAm project (2020–2023) targeting chiral amine synthesis. Awards: Kathleen Lonsdale Chemistry Prize, ISE Travel Award, Lindau Nobel Laureate Fellow, and Otto Moensteds Travel Grant Labs/Teams: Head of her independent research group established in 2022, focusing on advancing sustainable electrochemical technologies and biomedical applications.
Asbjørn Malte Olesen is a Research Fellow at the Department of Materials and Production, Faculty of Engineering and Science, Aalborg University. His work focuses on numerical simulation and experimental analysis of fiber-reinforced polymers for sustainable wind turbine applications, directly contributing to UN Sustainable Development Goals in Education. Education: Ph.D. in Mechanical Engineering (2020-2024) M.Sc. in Mechanical Engineering (2018-2020) Research Interests: Dr. Olesen's expertise spans composite materials, mechanical engineering, and computational mechanics, with specialized applications in wind turbine blade design. His research integrates experimental characterization of material failure mechanisms with advanced simulation techniques to develop durable composite structures for renewable energy infrastructure. Publication Trends: Recent articles demonstrate a consistent focus on failure analysis of composite materials, including novel methods for crack detection, delamination modeling, and virtual prototyping of manufacturing processes. Computational techniques like finite element analysis and automated image processing are prominently featured across his work. Projects: CIRCWIND (2024-2028): Circular material solutions for wind turbine blades NextGenBlade (2023-2026): Damage-tolerant wind blade designs MADEBLADES (2020-2023): Offshore wind turbine blade manufacturing
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.
Jens Søndergaard Broberg is a Part-time Lecturer at the Department of Materials and Production within the Faculty of Engineering and Science at Aalborg University. His affiliation includes the address: Fibigerstræde 16, 9220 Aalborg Øst, Denmark. His work focuses on materials science and production engineering, reflecting the department's emphasis on advanced manufacturing and industrial processes. While specific research interests are not detailed in the provided text, his departmental affiliation suggests expertise in areas such as material characterization, production optimization, and engineering design. No recent publications, grants, or academic awards are listed in the current information. Further details about his teaching contributions, lab affiliations, or collaborative projects are also not available in the provided content.
Daniele Castello is Associate Professor in Thermal Engineering at Aalborg University's AAU Energy department, leading research on advanced biofuels production through hydrothermal processing techniques. Research examines: Hydrothermal liquefaction for biocrude production Catalytic upgrading to renewable transportation fuels Waste feedstock valorization strategies Process integration in sustainable energy systems Publications demonstrate consistent focus on thermochemical conversion pathways, with recent advancements in continuous hydrotreatment systems. Active projects include CIRCULAIR (Horizon Europe 2023-2026) developing circular aviation fuels and eSAF (2022-2024) advancing sustainable aviation fuel production. Research group facilities enable pilot-scale hydrothermal processing and catalytic upgrading.
