Lars G. Johansen is an Associate Professor at Aarhus University, affiliated with the Department of Electrical and Computer Engineering. His work bridges interdisciplinary domains, with a focus on signal processing and machine learning. Research interests include Audio engineering and acoustic signal analysis Biomedical signal processing Neuroscience applications in Parkinson's disease studies Recent publications highlight trends in audio engineering (e.g., loudspeaker distortion analysis) and biomedical signal processing (e.g., ECG-derived respiration techniques). Collaborative work spans neuroscience, Parkinson's disease treatment evaluation, and noise reduction systems. Contact: Email: lgj@ece.au.dk Phone: +45 41 89 32 74 Labs/Teams: Signal Processing and Machine Learning Laboratory at Aarhus University.
Andreas Kugi is the Scientific Director at the AIT Austrian Institute of Technology and a full professor of Complex Dynamical Systems at TU Wien (Vienna University of Technology) in the Faculty of Electrical Engineering and Information Technology, Institute of Automation and Control. He has held significant academic and leadership roles across Europe, including professorships at Saarland University and offers from TU Dresden and KIT. His research focuses on the modeling, control, and optimization of complex dynamical systems , with strong applications in mechatronics, robotics, and industrial automation . He has led major research centers such as the Christian Doppler Laboratory for Model-Based Process Control in the Steel Industry and the Center for Vision, Automation & Control at AIT. His work bridges theoretical control design and real-world industrial implementation. The recent publications reflect a consistent focus on nonlinear, hybrid, and distributed parameter systems , with applications in robotics, manufacturing, energy, and process industries. His research integrates advanced control theory with practical engineering challenges, emphasizing real-time optimization, robustness, and system efficiency. Scientific Awards: Mechatronic Systems Outstanding Investigator Award (IFAC, 2022) Goldene Stefan-Ehrenmedaille (OVE, 2023) 16 best paper awards Andreas Kugi has supervised over 50 completed PhD dissertations and has been deeply involved in research leadership, including serving as Editor-in-Chief of Control Engineering Practice (2010–2017) and Vice President of the OVE Austrian Electrotechnical Association (2017–2023). He has secured and led numerous research grants, particularly through industrial collaborations in automation and process control. He leads and contributes to major research initiatives, including the Center for Vision, Automation & Control at AIT and the Christian Doppler Laboratory , fostering interdisciplinary teams focused on industrial digitalization and smart systems.
Christian Kühn is a Professor of Multiscale and Stochastic Dynamics at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. He has been an External Faculty member at the Complexity Science Hub Vienna since 2017, reflecting his interdisciplinary engagement in complex systems research. His academic background includes a BSc in Mathematics from Jacobs University Bremen (2005), an M.A.St. from the University of Cambridge (2006), and a PhD in Applied Mathematics from Cornell University (2010). He held postdoctoral positions at the Max Planck Institute for the Physics of Complex Systems in Dresden and the Vienna University of Technology, where he also served as an APART-Fellow and Leibniz Fellow. Christian Kühn's research lies at the intersection of differential equations, dynamical systems, and mathematical modeling. He focuses on multiscale problems, the impact of noise and uncertainty in deterministic and stochastic systems, and adaptive networks. Central phenomena of interest include bifurcations, pattern formation, and scaling laws. His work bridges theoretical developments with applications in epidemiology, neuroscience, and complex network dynamics. His recent publications (2021–2024) reflect a strong trend in analyzing nonlinear and stochastic dynamics on networks, with applications ranging from epidemic modeling to synchronization and critical transitions. Key themes include explosive phenomena, adaptive network behavior, moment closure methods, and non-Markovian systems, demonstrating a consistent focus on foundational aspects of dynamical systems with practical relevance. Notable scientific awards include: Richard-von-Mises Prize, GAMM (2017) Lichtenberg Professorship, VolkswagenStiftung (2016) Best Paper Award, TU Vienna (2014) Leibniz Fellow, Oberwolfach (2013) APART-Fellow, Austrian Academy of Sciences (2012) While specific details about advised students are not provided, his role as a full professor and active researcher suggests involvement in mentoring graduate students and postdoctoral researchers. His work has been supported by prestigious grants such as the Lichtenberg Professorship. He leads research in multiscale and stochastic dynamics, contributing to both theoretical advances and interdisciplinary applications. Kühn is part of vibrant research environments at TUM and the Complexity Science Hub Vienna, collaborating with leading scientists in network science, applied mathematics, and complex systems. His work continues to advance the understanding of critical transitions and nonlinear behavior in high-dimensional and stochastic systems.
Stefan Kragh Nielsen is a Professor and Section Leader in the Department of Physics at the Technical University of Denmark (DTU), specializing in Plasma Physics and Fusion Energy. He is actively involved in experimental and theoretical research related to fusion plasma diagnostics, particularly collective Thomson scattering and microwave-based measurements in tokamak devices such as ASDEX Upgrade and Wendelstein 7-X. His research interests include: Plasma Physics and Fusion Energy Collective Thomson Scattering Fast Ion Dynamics Electron Cyclotron Resonance Heating Parametric Instabilities Microwave Diagnostics The recent publications highlight a strong focus on advanced diagnostics, nonlinear wave interactions, and fast ion behavior in fusion plasmas. His work spans theoretical modeling, experimental validation, and instrumentation development, particularly in high-frequency microwave systems for continuous plasma monitoring. Trends show increasing emphasis on reduced modeling techniques and real-time diagnostic capabilities for next-generation fusion reactors. Scientific contributions include: Development of ultrafast digitizers for microwave diagnostics Commissioning of 174 GHz CTS systems at W7-X Modeling of metaplectic geometrical optics for plasma waves Investigation of parametric decay in gyrotron beams He actively supervises multiple PhD students on topics such as non-linear processes in electron Bernstein wave heating, ion dynamics via CTS, and parametric decay instabilities in spherical tokamaks. His projects are well-funded and aligned with international fusion research goals. He has collaborated extensively with major fusion facilities including ASDEX Upgrade, Wendelstein 7-X, and JET. No formal awards are listed in the provided text. He leads a research team focused on advancing plasma diagnostic capabilities for future fusion reactors.
Matteo Pezzulla is an Associate Professor at Aarhus University within the Department of Mechanical and Production Engineering Mechanics and Materials. His research focuses on fluid-structure interactions, soft hydraulics, and elastic instabilities, with applications in biomechanics and solid mechanics. Areas of expertise: Soft hydraulics, Fluid-structure interactions, Elastic instabilities, Biomechanics, Solid mechanics Teaching: Theory of Elasticity (BSc), Slender Structures (MSc) Memberships: American Physical Society (APS), Education Committee at AU Projects: The Architecture of Photosynthesis (2023–2026), Smart Fluidic Channels (2023–2025) His work bridges analytical, numerical, and experimental methods to study shell mechanics and biological systems. Publications highlight fluid-induced buckling, magneto-elastic materials, and biomimetic designs. Contact: matt@mpe.au.dk | +45 20 69 75 22
Didier Sornette is Professor of Entrepreneurial Risks at the Department of Management, Technology and Economics (D-MTEC), Swiss Federal Institute of Technology Zurich (ETH Zurich). He is also Professor of Finance at the Swiss Finance Institute, Associate Member of the Department of Physics and Department of Earth Sciences at ETH Zurich, Principal Investigator at the Future Resilient Systems Center at the National University of Singapore, and Specially Appointed Professor at the Institute of Innovative Research, Tokyo Institute of Technology. His research centers on the theory and application of complex systems, particularly focusing on the prediction and control of extreme events—termed 'dragon-kings'—in financial markets, geophysical systems, and socio-economic networks. He employs nonlinear dynamical models, statistical analysis, and feedback mechanisms to detect early warning signals of crises. The available publication highlights his work at the intersection of complexity science and democratic governance, suggesting a growing interest in applying systemic risk methodologies to societal structures. This reflects a broad trend in his research: leveraging quantitative models for real-world systemic instabilities across disciplines. Director, Financial Crisis Observatory (FCO) Co-founder, ETH Risk Center Principal Investigator, Future Resilient Systems, National University of Singapore Specially Appointed Professor, Tokyo Institute of Technology He leads interdisciplinary teams working on InnovWiki, a collaborative platform integrating idea development with prediction markets and data visualization. His lab initiatives emphasize open collaboration, crowd-based evaluation, and real-time risk monitoring. While specific awards and students are not listed in the provided text, his leadership in major research centers and global observatories underscores significant recognition and mentorship activity.
Niels Aage is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on topology optimization, biomechanics, and multiphysics modeling, with applications in acoustic devices, biomedical implants, and microelectromechanical systems (MEMS). He holds roles such as Vice President of the International Society for Structural and Multidisciplinary Optimization (2023–2027). Education and Professional Background: Conducted a 5-month research visit at the University of Colorado, Boulder (USA) in 2010. Specializes in giga-scale numerical modeling, finite element methods, and topology optimization algorithms. Research Interests: Develops novel methods for topology optimization of fluidic, thermal, and acoustic systems. Explores applications in patient-specific spinal implants, metamaterials with vibroacoustic bandgaps, and nonlinear dynamic substructuring. His work integrates machine learning and reduced-order modeling for efficient simulation. Publications: Over 100 peer-reviewed articles, including recent contributions on connectivity promotion in topology optimization (2025), vibroacoustic metamaterial design (2025), and anatomically conforming spinal fusion cages (2024). Research emphasizes high-resolution modeling and bridging computational design with additive manufacturing. Scientific Awards: ISSMO Haftka Young Investigator Award (2021), Equinor Prize 2020, and Hyperion Innovation Excellence Award (2017). Recognized for contributions to structural optimization and computational mechanics. Advising and Grants: Supervises multiple PhD projects, including work on vibroacoustic shape optimization, quantum-opto-mechanical systems, and smart hearing aid modeling. Engages in collaborative projects funded by industry and academia. Labs/Teams: Collaborates with DTU’s Solid Mechanics group and industry partners on projects involving topology optimization, multiphysics simulation, and biomedical engineering. Active in international conferences and serves on editorial boards.
Clara Marika Velte is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where she serves as Head of the Turbulence Centre of Excellence. Her research is centered on fluid mechanics, particularly turbulence, with a focus on theoretical modeling, experimental design, and vortex dynamics. She is actively involved in major research initiatives funded by the European Research Council and the Poul Due Jensen Foundation. PhD in Experimental and Theoretical Fluid Mechanics, DTU (2006–2009) MSc in Turbulence, Chalmers University of Technology (2004–2005) Her research interests include turbulence theory, boundary layers, flow control, vortex dynamics, and the development of theoretical models for turbulent flows. She employs advanced techniques such as Proper Orthogonal Decomposition, Reynolds decomposition, and modal analysis to study non-equilibrium turbulence and jet dynamics. Her work bridges fundamental physics with practical applications in energy and environmental engineering. Recent publications explore triad interactions, spatio-temporal structure functions, and Lumley decomposition in turbulent round jets, indicating a strong trend toward mathematical and physical modeling of turbulence dynamics. These works are targeted at high-impact journals such as Physical Review Fluids and Journal of Fluid Mechanics , reflecting her leadership in advancing theoretical frameworks in fluid dynamics. Best paper award, SEMA’18 (2018) Kalundborg Refinery Prisen (2023) Selected for special issue in Experiments in Fluids (2010) Publication in Journal of Systemics, Cybernetics and Informatics (2009) Clara Velte supervises multiple PhD students and leads several active research projects, including the PDJF Turbulence Centre of Excellence and UniEqTURB, which challenge classical paradigms like the Richardson-Kolmogorov theory. She also contributes to academic service as a member of the Editorial Board for Philosophical Transactions of the Royal Society A . Her laboratory, the Turbulence Research Laboratory at DTU, fosters interdisciplinary collaboration and innovation in turbulence science. The Turbulence Centre of Excellence at DTU, under her leadership, operates as a state-of-the-art research hub integrating experimental, theoretical, and computational approaches. The center collaborates internationally and engages in public outreach, including media appearances on turbulence in aviation and climate systems.
Henrik Bruus is a Professor and Section Head in the Department of Physics at the Technical University of Denmark (DTU). He leads the Section of Biophysics and Fluids and the Theoretical Microfluidics Group, focusing on theoretical modeling in microfluidics, acoustofluidics, and nanofluidics. His academic journey began at the Niels Bohr Institute, University of Copenhagen, where he earned his B.Sc., M.Sc., and Ph.D. in physics. He has held research and faculty positions at NORDITA, Yale University, CNRS-CRTBT, and DTU, transitioning from DTU Nanotech to DTU Physics in 2012. He has held visiting professorships at Harvard, MIT, Princeton, and several French institutions. B.Sc. in Mathematics and Physics, University of Copenhagen (1984) M.Sc. in Physics, University of Copenhagen (1986) Ph.D. in Physics, University of Copenhagen (1990) Henrik Bruus's research lies at the intersection of theoretical physics and engineering, with a strong emphasis on microfluidics, acoustofluidics, and biophysics . His work explores acoustic radiation forces, electrokinetics, streaming, and particle manipulation in microsystems. He is renowned for his Acoustofluidics tutorial series published in Lab on a Chip. His research contributes to UN Sustainable Development Goals in energy and innovation. He has published over 248 works, including in Physical Review , Lab on a Chip , and Science Advances . The recent publications highlight a consistent focus on acoustofluidic phenomena , particularly the modeling and control of acoustic streaming, radiation forces, and thermoviscous effects in microchannels. His work bridges theoretical analysis with experimental validation, often involving collaborations across disciplines. Key themes include ultrasound manipulation of particles and cells, optimization of microreactors, and development of novel acoustofluidic devices using thin-film transducers. Scientific Awards: DTU Teacher of the Year (2013) Elected Fellow of the American Physical Society (since 2011) Henrik Bruus actively supervises Ph.D. students and leads multiple research projects in biophysics and microfluidics. He has been the main supervisor or co-supervisor on projects related to plant biophysics, micro- and nanochannel flows, and electroacoustic actuation. His international collaborations span across Europe and the U.S., and he has delivered numerous conference presentations, including at APS meetings and specialized workshops. He is a central figure in the global acoustofluidics research community. He leads the Theoretical Microfluidics Group at DTU Physics, which focuses on computational and analytical modeling of fluid behavior at micro- and nanoscales. The group collaborates closely with experimental teams to develop and validate theoretical frameworks for lab-on-a-chip systems. Their work supports applications in biomedical diagnostics, cell sorting, and material science.
Peter Lodahl is a Professor in quantum physics and technology at the Niels Bohr Institute, University of Copenhagen, and serves as Director of the Hybrid Quantum Networks Hy-Q Center of Excellence. He leads the Quantum Photonics Group and holds the position of Deputy Section Leader of Quantum Optics at the institute. Lodahl has established himself as a leading researcher in quantum optics and quantum information processing with solid-state systems. His research focuses on developing fundamentally new quantum hardware for quantum-information science, specifically deterministic single-photon sources, spin-photon interfaces, and photonic quantum gates. His work has pioneered the demonstration that light emission can be fully controlled through intricate photonic nanostructures, enabling deterministic quantum interfaces between light and matter. His research spans quantum simulators, quantum repeaters, and quantum key distribution, all contributing to the development of a quantum internet. Lodahl's publication record shows a strong focus on quantum networks, photonic quantum technologies, and quantum information processing. His recent work demonstrates significant advances in deterministic photon sources, quantum entanglement generation, waveguide quantum electrodynamics, and practical implementations of quantum technologies. His research has shifted from fundamental demonstrations toward practical quantum applications and hardware development. EliteForsk Price (2016) ERC Advanced Grant (2015) ERC Consolidator Grant (2010) Young Researcher's Award by the Danish Research Council (2005) Lodahl has supervised 25 MSc students, 23 PhD students, and 17 postdocs since 2005. He has attracted over 200 MDKK in research funding from sources including ERC, Danish Research Council, VILLUM Foundation, Innovation Fund DK, and A.P.Møller Foundation. As Director of the Hy-Q Center of Excellence and Scientific Director for the Center of Quantum Innovation, he oversees significant research infrastructure and initiatives in quantum technology. He leads the Quantum Photonics Group at the Niels Bohr Institute and was PI for the Quantech infrastructure proposal accepted on the Danish Roadmap for Research infrastructure with a total budget of 40 MDKK. His group collaborates internationally and has developed numerous technologies including 5 patents in photonic quantum technology and a co-founded quantum-tech start-up company.
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.
Dao Zhou is an Associate Professor at Aalborg University's Department of Mechatronic Systems, part of The Faculty of Engineering and Science. His research focuses on power electronics reliability, wind turbine systems, and grid integration of renewable energy. He holds a PhD in Electrical Engineering from Aalborg University (2014), specializing in reliability assessment of wind turbine systems. His key research areas include power converter control strategies, semiconductor reliability, and grid-forming/grid-following inverter technologies. He has led projects such as the Physics-informed AI for Prognostics in Power Converters and the HELP laboratory platform initiative. Zhou has supervised four PhD students and authored over 198 publications, with notable awards including the IEEE ICPE 2023-ECCE Asia and MPCE 2021 Best Paper Award. Recent work emphasizes predictive maintenance via physics-informed neural networks and seamless control transitions between grid modes. His lab collaborations span Europe, focusing on improving renewable energy system reliability and educational lab infrastructure.
Rune W. Berg is an Associate Professor in the Promotion Programme at the Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen. He leads the Berg Lab with research focused on Neuronal Signalling and maintains an active research profile with 66 publications to date. Dr. Berg's educational background includes a Ph.D. in Biophysics from the University of California, San Diego (2003), an M.S. in Physics from UC San Diego (2000), and Cand. Scient. and B.Sc. degrees in Biophysics from the Niels Bohr Institute at the University of Copenhagen (2000 and 1997 respectively). His research interests span Functional Neuronal Networks, Sensory and Motor processing, and Complex physics. The Berg Lab investigates neural signaling mechanisms with a strong emphasis on developing novel technologies for neural interfacing and brain research. Recent work demonstrates an interdisciplinary approach combining neuroscience, physics, and engineering to create advanced tools for neural monitoring and modulation. Analysis of Dr. Berg's recent publications reveals a strong focus on neural engineering technologies, particularly optical and electromagnetic approaches for brain research. His work bridges fundamental neuroscience with practical engineering solutions for neural interfaces, with applications in understanding brain function and developing neural prosthetics. The research spans from molecular-level interactions to circuit-level neural dynamics. Dr. Berg has participated in specialized training workshops including 'Construction of the brain' at Kristineberg Marine research station, 'Neurophysics' at the Institute of Theoretical Physics in Santa Barbara, and 'Neuron as a nonlinear oscillator' at the Salk Institute. His professional experience includes continuous work since January 2004 as a Post Doctoral member of Jorn Hounsgaard's Lab at the University of Copenhagen, following a Visiting Post Doctoral fellowship at Taipei Veterans General Hospital and National Yang-Ming University in Taiwan (September-December 2003).
Casper Schousboe Andreasen is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Civil and Mechanical Engineering within the Solid Mechanics division. His research focuses on topology optimization, fluid dynamics, and thermal systems design, with applications in aerospace engineering, microfluidics, and sustainable energy systems. He holds a PhD (2011) and Cand. Polyt (2008) from DTU. Education: PhD in Engineering (DTU, 2011), Cand. Polyt (DTU, 2008) His research interests include fluid-structure interaction, aeroelastic wing design, thermal insulation optimization, and topology optimization for additive manufacturing. He leads projects on labyrinth seal optimization, thermal resistance walls, and high-resolution fluid topology design. His work contributes to UN Sustainable Development Goal 7 (Clean Energy) through innovative heat exchanger and insulation technologies. Recent projects involve optimizing 3D-printed walls for thermal resistance, topology-based design of hydraulic systems, and aeroelastic wing configurations under large deformations. He supervises multiple PhD students focusing on topics like exascale CFD, fiber-reinforced composites, and EHD calculations in marine engines. He is part of DTU's TopOpt group, collaborating internationally on fluid dynamics and structural optimization. His methodologies bridge computational mechanics and industrial applications, emphasizing manufacturability and high-performance design.
Ming Shen is an Associate Professor at the Department of Electronic Systems, part of The Technical Faculty of IT and Design at Aalborg University. His research focuses on antennas, millimeter-wave systems, and AI-driven RF sensors with applications in 5G/6G communications, biomedical engineering, and smart systems. His research interests span antenna design (including phased arrays, metamaterials, and compact structures), AI integration in electromagnetic systems, and medical sensor technologies. Recent projects include drone-based electromagnetic signature analysis, vibration energy harvesting for pacemakers, and smart healthcare systems for posture recognition and surgical site infection monitoring. Key projects include DRONES: Drone-Obtained Electromagnetic Signatures (2024–2028), Sensor Intelligence for Healthcare and Sports (2022–2027), and DeepBone (2021–2022), which explored deep learning for surgical infection detection. His work also bridges machine learning and electromagnetic design, with breakthroughs in surrogate modeling and automated antenna optimization. Ming Shen has supervised 6 PhD students and published over 160 peer-reviewed articles. Notable contributions include AI-assisted NLOS sensing, ultra-wideband antenna innovations, and medical applications such as electrical impedance-based bone healing assessment.
