Find Academic Supervisors

Niels Henrik MortensenView profile

Professor

• Product Architecture
• Modularization
• Maintenance Performance
• +3 more

Niels Henrik Mortensen is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on engineering design and manufacturing systems, with emphasis on product architecture, modularization, maintenance performance, and AI-driven design solutions. He leads initiatives in engineer-to-order systems, lifecycle costing, and digital transformation in manufacturing. Key research interests include optimizing product architectures for modular systems, enhancing maintenance strategies through data analytics, and applying AI to improve CAD design reuse. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure, and sustainable energy systems. Supervisor for 5 active PhD projects focused on modular architectures, logistics services, and configuration systems Published 175+ peer-reviewed articles, including work on AI-based maintenance frameworks and configurator development Recipient of industry collaboration projects with offshore energy and manufacturing sectors Notable contributions include frameworks for maintenance performance diagnostics and adaptable configuration models. His team operates through MEK and CONSTRUCT research groups at DTU.

Joe AlexandersenView profile

Associate Professor

• Computational Mechanics
• Topology Optimization
• Fluid Dynamics
• +5 more

Joe Alexandersen is an Associate Professor in the Department of Mechanical Engineering at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering. His research spans structural optimization, heat transfer, fluid dynamics, and high-performance computing, with applications in heat sink design, microfluidic devices, and additive manufacturing. Research Interests Topology and shape optimization Conjugate heat transfer Navier-Stokes flow modeling Finite element methods High-performance computing Scientific Awards 2022 Fluids 2020 Best Paper Award 2017 DTU Young Researcher Award 2015 ISSMO/Springer Prize for Young Scientist Key Projects HiHeaT: Topology optimization for high heat flux components (2024–2027) Structural Analysis of Large Modular Vessels (2025–2027)

Jørgen Ellegaard AndersenView profile

Professor

• Quantum Topology
• Geometric Quantization of Moduli Spaces
• Topological Quantum Field Theory
• +7 more

Jørgen Ellegaard Andersen is a Professor and Center Director at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU), and holds the D-IAS Chair at the Danish Institute for Advanced Study (DIAS). He is also a Distinguished Visiting Professor at the California Institute of Technology since 2013, reflecting his international stature in mathematical sciences. University: University of Southern Denmark School: Faculty of Science Department: Department of Mathematics and Computer Science Position: Professor, Center Director, D-IAS Chair Andersen earned his DPhil in Mathematics from the University of Oxford in 1992, with a thesis on Jones-Witten theory and the Thurston Compactification of Teichmüller space. His research lies at the intersection of quantum theory and geometry, focusing on quantum topology, geometric quantization of moduli spaces, topological quantum field theory, low-dimensional geometry, and applications to RNA and protein folding. His work combines deep mathematical rigor with potential applications in quantum computing and biophysics. The trends in his recent publications show a consistent focus on quantization of moduli spaces, topological recursion, mapping class group representations, and quantum Chern-Simons theory. His work often bridges pure mathematics and theoretical physics, with increasing attention to computational and applied aspects in quantum technologies. ERC Synergy Grant ReNewQuantum (EUR 10m, Principal Investigator) Distinguished Visiting Professor, Caltech Andersen leads major research projects such as ReNewQuantum and TopQC2X, securing significant funding from the EU and Danish agencies. He actively supervises PhD students and collaborates with leading mathematicians worldwide, including Maxim Kontsevich and Bertrand Eynard. His work is frequently highlighted in the media for its potential impact on quantum computing and Danish industry. He is a central figure in the Quantum Mathematics center at SDU and collaborates with institutions like MSRI and the University of Hamburg. His research group is part of international networks focused on geometric and topological methods in quantum theory.

• Affective Interaction Design
• Emotional Design
• Affective Healthcare Design
• +5 more

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.

Ole MadsenView profile

Professor

• Robotics
• Automation
• Industry 4.0
• +6 more

Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .

Mateja NovakView profile

Assistant Professor

• Model Predictive Control
• Power Electronics
• Multilevel Converters
• +6 more

Mateja Novak is an Assistant Professor at AAU Energy, Aalborg University, Denmark, within the Department of Applied Power Electronic Systems under the Faculty of Engineering and Science. Her research focuses on model predictive control, multilevel converters, machine learning, and reliability of power electronic systems, contributing to sustainable energy systems and renewable energy integration. She holds a Ph.D. from Aalborg University (2020) and an M.Sc. from Zagreb University (2014). Previously, she was a Postdoc at AAU Energy (2020-2023) and a visiting researcher at Kiel University (2018) and Danfoss (2023). Notable achievements include the EPE Outstanding Young EPE Member Award (2019) and 2nd place in the 2021 IEEE-IES Student and YP Competition. Her work spans projects like ALL2GaN (2023-2026) and AI-Power (2022-2027), addressing GaN IC solutions and AI-driven power electronics advancements. She is actively involved with IEEE societies including the Power Electronics Society and IEEE Women in Engineering. Her research outputs emphasize control strategies for power electronics, reliability analysis, and optimization techniques. Key areas of exploration include thermal stress balancing in converters, statistical model checking, and multiobjective control algorithms. Collaborations with industry partners like Danfoss and academic institutions like Kiel University underscore her interdisciplinary approach to advancing power electronics technology.

Silvia ToluView profile

Associate Professor

• Neurorobotics
• Bio-inspired Control Systems
• Neuromorphic Engineering
• +3 more

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.

Fabian HaidenView profile

Associate Professor

• Algebraic Geometry
• Category Theory
• Mathematical Physics
• +3 more

Fabian Haiden is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark, affiliated with the Quantum Mathematics research group. His academic work focuses on advanced topics in algebraic geometry, category theory, and mathematical physics. He holds a prestigious Sapere Aude Research Leader Grant (2023), enabling him to lead a research group exploring categorical structures in geometry. Research interests include derived categories, Calabi-Yau categories, stability conditions, and their applications to Teichmüller theory, spectral networks, and geometric topology. His recent work bridges algebraic structures with dynamical systems, such as pseudo-Anosov autoequivalences and iterated logarithms in gradient flows. Key Projects: Leading the Emergent Geometry of Categories project (2024–2028), funded by the Danish Ministry of Higher Education and Research. Grants & Awards: Sapere Aude Research Leader Grant (DKK 6.192.000). Publications span journals like Advances in Mathematics , Duke Mathematical Journal , and Communications in Mathematical Physics , reflecting his expertise in algebraic structures, geometric categorification, and stability phenomena. His research often intersects with topological and physical systems, such as knot polynomials and quantum topology.

Amin HajizadehView profile

Associate Professor

• Renewable Energy Systems
• DC Microgrids
• Offshore Renewable Energy
• +6 more

Amin Hajizadeh is an Associate Professor at Aalborg University (AAU), affiliated with the Esbjerg Energy Section in the Faculty of Engineering and Science . His research focuses on renewable energy systems, DC microgrids, offshore renewable energy integration, and AI-driven energy solutions. He holds a PhD in Electrical Power Engineering (2010). Research Highlights: Developing control strategies for modular multiport DC-DC converters and offshore wind-hydrogen systems Advancing energy management in net-zero buildings and smart city frameworks Pioneering work in AI-based wake steering for wind farm optimization Projects & Awards: Lead investigator in BlueBARGE (€5M EU project on renewable bunkering for anchored ships) Recipient of the 2024 Best Paper Award for work on neural network-based wake steering Key Contributions: Published 140+ papers in journals like IEEE Transactions and Renewable Energy Supervised 6 PhD students and contributed to 19 funded research projects Active in editorial roles (e.g., IET Renewable Power Generation)

Morten S. RisagerView profile

Professor

• Analytic Number Theory
• Spectral Theory for Automorphic Forms
• Spectral Deformations
• +7 more

Morten S. Risager is a Professor in the Department of Mathematical Sciences at the University of Copenhagen. His research focuses on intersections of analytic number theory , automorphic forms , and mathematical physics , particularly in quantum chaos and hyperbolic geometry . He has held positions at Aarhus University and the Institute for Advanced Study, Princeton. Education: Ph.D. in Mathematics (2003, University of Aarhus), M.Sc. in Mathematics (2001, University of Aarhus). Research interests include modular symbols , Eisenstein series , lattice counting problems , and Selberg's conjecture . His recent work analyzes equidistribution in hyperbolic groups and spectral deformations. Publications (2014–2025) cover topics like shifted convolution sums , iterated integrals of modular forms , and hyperbolic circle problems . Collaborations with Petridis and Nordentoft highlight trends in spectral theory and number theory. Scientific awards : Steno Research Fellow (2005–2008) at Aarhus University. Teaching areas encompass linear algebra , analysis , elliptic curves , and analytic number theory .

Jacob NielsenView profile

Associate Professor

• Modular Robotics
• Human-Robot Interaction
• Educational Robotics
• +3 more

Jacob Nielsen is an Associate Professor at the SDU Metaverse Lab, affiliated with the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark. His research spans robotics, audiometry, and educational technology, with a focus on user-centered design and accessibility. Current Role: Associate Professor, SDU Metaverse Lab Key Themes: Modular Robotics, Human-Robot Interaction, User-Operated Audiometry His recent work emphasizes democratizing audiometric testing through smartphone applications and self-administered methods, while earlier contributions include educational robotics frameworks for children and rehabilitation systems using industrial robots. Collaborations extend to clinical audiology and STEM engagement projects in Africa. 2024-2025: 5 publications in user-operated audiometry and hearing aid calibration 2017-2020: TEDx talks and youth robotics programs in Denmark Jacob actively contributes to public discourse through 51 media appearances, including discussions on social innovation, robotics in education, and Denmark’s future technologies.

Lars HvamView profile

Professor

• Engineering Design
• Product Configuration
• Mass Customization
• +7 more

Lars Hvam is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where he specializes in Engineering Design and Manufacturing Systems. His research is deeply rooted in product configuration, modular architectures, and mass customization, with applications across diverse industries including naval engineering, logistics, and jewelry manufacturing. Research Interests: His work focuses on improving engineering processes through digital tools such as configurators and digital twins. Key areas include product architecture, systems engineering, logistics service design, and data-driven optimization of manufacturing systems. He actively explores how configurators can extend product offerings into services and enhance operational efficiency. Publication Trends: His recent articles (2025) highlight a strong emphasis on practical applications of configuration systems, decision modeling in engineer-to-order environments, and the integration of augmented reality with digital twins for operator training. These works span disciplines such as industrial engineering, computer science, and supply chain management, reflecting an interdisciplinary approach. Scientific Contributions: While specific awards are not listed, his extensive publication record and leadership in major research projects underscore his impact in the field. Advising and Grants: He supervises several PhD students in projects related to modular architecture, logistics, and configurator implementation. His team is involved in both active and completed research initiatives, indicating sustained funding and academic leadership. Labs and Research Teams: He collaborates closely with Professor N. H. Mortensen and other researchers within DTU’s engineering design group, contributing to a robust research network focused on industrial problem-solving and innovation.

Anders MøllerView profile

Professor

• Programming Languages
• Software Engineering
• Static Program Analysis
• +4 more

Anders Møller is a Professor and Vice Head of Department at the Department of Computer Science, Aarhus University, Denmark. He is a leading researcher in programming languages and software engineering, with a primary focus on static and dynamic program analysis. He serves as Chairman of the PhD Committee and holds leadership roles in the international research community, including Vice-Chair of ACM SIGPLAN and Associate Editor for ACM TOPLAS and ACM TOSEM. His research interests include programming languages, software engineering, static and dynamic analysis, program verification, and security. His work bridges theoretical foundations and practical applications, particularly in improving software reliability and security through advanced analysis techniques. The trends in his recent publications reflect a strong emphasis on static analysis for security, scalability, and real-world impact—especially in web applications, smart contracts, and open-source software supply chains. His research has evolved toward practical deployment, demonstrated by the founding and acquisition of Coana by Socket in 2025 for enhanced vulnerability detection. Recipient of the Danish Elite Research Prize 2020 ACM Distinguished Member He actively mentors students and contributes to the academic community through conference leadership (e.g., OOPSLA, PLDI, ICSE). He also co-authored the widely used textbook Static Program Analysis with Michael I. Schwartzbach. His work is deeply integrated into both academic and industrial advancements in software analysis and security.

Lisbeth LundView profile

Researcher

• Tobacco Use Research
• Public Health
• Youth Health Behavior
• +3 more

Lisbeth Lund serves as a Researcher at the National Institute of Public Health within the University of Southern Denmark, specializing in the Health Promotion and Interventions unit. Her work centers on public health research with a focus on tobacco and nicotine product use among Danish youth, utilizing advanced statistical methodologies to analyze behavioral patterns and intervention efficacy. Her primary research interests include tobacco use epidemiology, youth health behavior, mental health correlations, and statistical modeling techniques such as latent transition analysis. Lund employs sophisticated quantitative methods to examine sex-specific trends in poly-tobacco use, transitions in nicotine consumption patterns, and the impact of regulatory frameworks. Her methodological expertise extends to systematic reviews of digital media effects on adolescent sleep and smokeless tobacco determinants. Analysis of Lund's 15 most recent publications (2022-2025) reveals a consistent focus on Danish youth tobacco/nicotine behaviors using latent class and transition analyses. Key trends include gender-differentiated use patterns, co-use with marijuana, longitudinal behavioral transitions, and school-based intervention effectiveness. Her methodological contributions include R-based tutorials for flexible latent transition modeling, while applied work addresses policy impacts of Denmark's tobacco control legislation. No scientific awards were documented in the provided materials. Lund participates in active research projects including "Digitale mediers betydning for søvn hos børn i alderen 0-15 år" (Digital Media's Significance for Sleep in Children Aged 0-15 Years), demonstrating interdisciplinary collaboration across public health domains. While no specific student advising roles are mentioned, her involvement in multi-institutional studies indicates mentorship within research teams. She operates within the Health Promotion and Interventions research unit at the National Institute of Public Health, contributing to Denmark's tobacco surveillance systems through the annual §RØG reports and engaging with public discourse via media appearances on nicotine's neurotoxic effects and screen time impacts on child sleep.

Lukas EsterleView profile

Associate Professor

• Autonomous Systems
• Multi-Agent Systems
• Computational Self-awareness
• +3 more

Lukas Esterle is Associate Professor at Aarhus University's Department of Electrical and Computer Engineering. His research focuses on enabling collaboration among autonomous systems through computational self-awareness, collective learning, and autonomous decision-making. His work draws inspiration from natural systems, psychology, and anthropology to develop resilient distributed systems. Key research areas include: autonomous multi-agent coordination, digital twin architectures, computational trust models, and distributed learning frameworks for robotic systems. His investigations target applications in smart cities, industrial automation, and edge computing environments. Professor Esterle teaches courses in Software Engineering, Computer Games Technologies, and Autonomous Agents & Multi-Agent Systems. He coordinates multiple European research projects including DIAMOND (Developing Personalized Capabilities), FLOCKD (Federated Learning for Collaborative Knowledge), and MARVEL (Multimodal Data Analytics for Smart Cities).