Hossein Nami is an Associate Professor at the Department of Green Technology (IGT) and SDU Life Cycle Engineering at the University of Southern Denmark . His research focuses on Power-to-X , Hydrogen production , E-fuel , and system modeling for sustainable energy solutions. PhD, University of Tabriz (2018) Postdoc, Technical University of Denmark (2020-2022) Assistant Professor, University of Southern Denmark (2022-2025) Nami's research output includes 15 articles (2024-2026) on topics like ammonia-fueled fuel cells , geothermal cycles , chemical looping combustion , and electrolysis optimization . His work emphasizes techno-economic analysis, exergy efficiency, and multi-objective optimization for low-carbon energy systems. He leads the FLEX-ENVIRONMENT project (2024-2027) on electrolyzer integration and contributes to CARMA-Green Fuels (2023-2026) and GRACE (2025) for carbon management and grid-aware investment. His teaching includes supervision of MSc theses on renewable hydrocarbons and power-to-X technologies at SDU.
Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.
Grethe Winther is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in Materials and Surface Engineering. Her research is centered on the analysis and modeling of microstructure and mechanical properties of metals, with a strong emphasis on dislocation structures, deformation textures, and recrystallization processes. Her research interests include: Dislocation structures and boundary analysis in deformed metals Crystal plasticity modeling using synchrotron data (3DXRD) Orientation relationships in recrystallization Prediction of mechanical properties in industrial metal forming Multiscale modeling of plastic deformation and surface roughening The recent articles (2025) highlight a consistent focus on advanced characterization techniques like dark-field X-ray microscopy and discrete dislocation dynamics simulations. These works explore the formation of geometrically necessary boundaries, dislocation cell evolution, and multiscale surface deformation, reflecting a strong integration of experimental and computational methods in materials science. Key themes include plastic deformation mechanisms, microstructure evolution, and predictive modeling in metallic systems. Grethe Winther actively supervises multiple PhD projects, including those on dislocation dynamics, X-ray microscopy, and ductile failure simulations. She collaborates extensively with researchers such as H.F. Poulsen and C.V. Nielsen. Her work is supported by ongoing research projects at DTU, focusing on fundamental and applied aspects of metal deformation and microstructure. She is affiliated with the Materials and Surface Engineering section at DTU, where she leads research efforts combining advanced experimental techniques with theoretical modeling to understand and predict metal behavior under deformation.
Peter D. Ditlevsen is a Professor at the Niels Bohr Institute , University of Copenhagen, specializing in Physics of Ice, Climate and Earth (PICE) . With a background in theoretical physics, he transitioned to climate dynamics and turbulence. Dr. Scient (2004), University of Copenhagen PhD (1991), Technical University of Denmark Research Interests : Focuses on Tipping Points in the Earth System , especially AMOC collapse , using stochastic dynamical systems , alpha-stable processes , and nonlinear climate modeling . His work bridges climate physics , dynamical meteorology , and time series analysis . Recent Publications : 2025 work on ice-core-based Dansgaard–Oeschger event modeling , 2024 studies on AMOC multistability and complex system predictability , and 2023 Nature Communications paper on AMOC collapse early warning (cited 4000+ times in media). Scientific Leadership : Leads CriticalEarth H2020 (2021-24) and contributed to TiPES (2019-23). Holds Carlsberg Fellowship and Ole Rømer Prize . Outreach : Produces weekly climate science podcast with David Trads, delivers 4-6 public lectures/year, and has appeared in 40+ media outlets. Teaches Electrodynamics , Thermodynamics , and Turbulence courses.
Chris Valentin Nielsen is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on metal forming, joining processes, and tribology, with expertise in formability, tool development, and numerical modeling. His work contributes to UN Sustainable Development Goals related to sustainable manufacturing. He supervises PhD students in projects such as sustainable busbars for electric vehicles and adjustable tool design for high-volume production. His research interests include metal forming (e.g., deep drawing, ironing), joining technologies (resistance welding, laser welding), and advanced manufacturing methods like additive manufacturing. He employs finite element modeling and experimental analysis to bridge fundamental and applied research. Collaborations span global institutions, addressing challenges in material behavior, process optimization, and tool durability. Recent publications explore topics such as dieless Nakajima testing for additive materials, punch design improvements, and asperity deformation mechanics. His work emphasizes sustainability, robust production systems, and eco-friendly lubrication solutions. Projects involve interdisciplinary teams, integrating numerical simulations with industrial applications to enhance manufacturing efficiency and material performance.
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.
Wolfgang Pantleon is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in Materials and Surface Engineering. His research is centered on microstructure evolution, plastic deformation, and advanced characterization techniques in metallic materials, particularly tungsten and nickel-based superalloys. He is actively involved in projects related to fusion materials, additive manufacturing, and high-temperature stability. His research interests include plastic deformation , dislocation structures , annealing , grain growth , recrystallization , and composite materials , with a strong focus on tungsten fiber-reinforced composites for plasma-facing applications. He employs advanced techniques such as electron backscatter diffraction (EBSD) and high-resolution reciprocal space mapping for in-depth microstructural analysis. His recent publications (2024–2025) reflect a strong trend in materials for nuclear fusion , additive manufacturing of superalloys , and in-situ characterization of phase transformations . These works span journals like Scripta Materialia , Materials Characterization , and Fusion Engineering and Design , emphasizing mechanical performance, microstructural stability, and restoration mechanisms under extreme conditions. He has received notable scientific recognition, including: SOFT2024 PhD Poster Prize Winner (2024) Best Poster Award (2019) Wolfgang Pantleon actively supervises PhD students and leads significant research projects, such as Thermal Stability of Tungsten Fiber-reinforced Tungsten Composites and Stability of Tungsten Plates during High Temperatures . He has secured funding from EU and national sources, demonstrating strong grant acquisition capabilities. His collaborative network includes institutions in Germany and international partners in fusion research. He is affiliated with the Materials and Surface Engineering section at DTU, where he contributes to both fundamental and applied research in advanced materials, particularly for energy and industrial applications.
Sidsel Johansen is a PhD Fellow at the Department of Chemistry and Bioscience , Aalborg University , within the Faculty of Engineering and Science. Her research focuses on disordered materials, specifically oxide glasses, with an emphasis on structural prediction and mechanical behavior. University: Aalborg University School: Faculty of Engineering and Science Department: Department of Chemistry and Bioscience Academic Rank: Research Fellow Email: sidselmj@bio.aau.dk Research Interests Johansen's work intersects materials science , glass structure , and molecular mechanics . She employs machine learning to predict glass properties and investigates nanoscale deformation using in situ X-ray diffraction . Her studies cover: Oxide glass composition and mechanical stability Aluminosilicate network modeling Indentation-induced fracture behavior Shear flow mechanisms in disordered systems Multi-scale structural characterization Data-driven material design frameworks Projects Active in the NewGLASS: New Horizons in Glass Structure Prediction and Mechanics project (2022–2027), collaborating with international researchers on structural-mechanical correlations in glasses. Publications Recent contributions include: 2025: Machine learning study on aluminosilicate stiffness and toughness 2024: In situ X-ray nano diffraction analysis of oxide glass deformation
Weria Pezeshkian is an Assistant Professor in the Biocomplexity research group at the Niels Bohr Institute, University of Copenhagen. With expertise spanning computational biophysics and membrane dynamics, Dr. Pezeshkian leads research that bridges physics, biology, and computational science to address fundamental questions in cellular mechanics. Dr. Pezeshkian's research focuses on: Computational modeling of cellular membranes and their dynamic properties Molecular dynamics simulations of protein-lipid interactions Membrane mechanics and curvature generation mechanisms Plasma membrane repair processes Development of computational methodologies for multiscale biological modeling Analysis of recent publications reveals a strong emphasis on membrane biophysics, particularly in understanding how proteins interact with and shape cellular membranes. The research combines advanced computational techniques with experimental data to model complex cellular processes across multiple scales. Key contributions include elucidating mechanisms of membrane repair, protein-induced membrane curvature, and innovative simulation methodologies like FreeDTS and TS2CG. Scientific recognition includes: MGMS Frank Blaney Award (2024) Dr. Pezeshkian maintains an extensive collaborative network across institutions and disciplines, focusing on integrative approaches to complex biological questions. The research has significant implications for understanding fundamental cellular processes and potential applications in disease mechanisms related to membrane dysfunction.
Tue Herlau is an Associate Professor at the Department of Applied Mathematics and Computer Science, Cognitive Systems, within the College of Engineering at Technical University of Denmark. His research focuses on modeling complex networks using Bayesian methods, particularly applied to brain imaging data. He explores multiscale structures in networks (ranging from individual nodes to large-scale temporal dynamics) and causal inference in social and biological systems. Education : Bachelor in Physics and Mathematics (University of Copenhagen), Masters in Informatics (DTU) Recent publications highlight work on generative AI for educational psychology, causal probability trees, Bayesian neural network training, and moral reinforcement learning. Key collaborations span institutions in Denmark and international partners in AI and neuroscience research. He supervises students in probabilistic methods and machine learning applications, including a 2019-2020 Master project on prognostics for carbon/epoxy composites. His network shows strong engagement with computational science, relational databases, and formal concept analysis.
Sara Merino-Aceituno is an Associate Professor at the Faculty of Mathematics, University of Vienna, with prior academic roles at the University of Sussex and Imperial College London. Her research focuses on kinetic theory and mathematical modeling of emergent phenomena in biological, medical, and social systems. PhD in Mathematics, University of Cambridge (2015) MSc in Computer Science and Applied Mathematics, INP Grenoble (2010) BSc in Mathematics, Universitat Politècnica de Catalunya (2009) Her research interests center on understanding how macroscopic patterns arise from microscopic interactions, using tools from partial differential equations, probability, and numerical analysis. She specializes in interacting particle systems, collective dynamics, opinion formation, and cell tissue development. She collaborates closely with experimental biologists to validate and refine her models. The recent publications reflect a consistent focus on kinetic modeling of collective behavior, phase transitions, and multiscale analysis. Her work bridges abstract mathematical theory with concrete applications in biology and social sciences, often involving collaboration with interdisciplinary teams. She develops continuum limits of particle systems and investigates stability, alignment, and pattern formation in complex systems. Sara is actively involved in mentoring and science communication. She has co-authored study guides for students, leads outreach initiatives such as exhibitions at the 'Long Night of Research,' and produces educational videos. She also maintains a blog and YouTube channel to share insights on research, learning, and academic life. Co-authored guide: 'GOOD_STUDY_HABITS.pdf' with Amalio Fernández-Pacheco Created educational video 'Describing Patterns' with filmmaker Sameer Patel Regular contributor to public science events Active blogger on topics including coaching, creativity, and academic mindset She leads a research group called 'The HERD,' which investigates emergence in natural domains, focusing on mathematical models of biological and social systems. Her team includes postdoctoral researchers and students working on kinetic theory, numerical simulations, and interdisciplinary modeling projects.
Ricard Solé is an ICREA Research Professor at the Catalan Institute for Research and Advanced Studies, based at Universitat Pompeu Fabra (UPF), where he leads the Complex Systems Lab within the Department of Experimental and Health Sciences. He is also External Professor at the Santa Fe Institute (USA), fellow of the European Centre for Living Technology (Italy), and external faculty at the Center for Evolution and Cancer at UCSF. He teaches undergraduate courses in Biomathematics, Biological Design, and Complex Diseases. Research Interests: Ricard Solé's work focuses on the emergence of complexity in biological systems. He investigates the evolutionary origins of major transitions—such as the rise of protocells, multicellularity, symbiosis, cognition, and language—through the lens of synthetic biology and mathematical modeling. He introduced the concept of 'synthetic major transitions' to simulate evolutionary innovations in the lab. Another key area involves unstable evolutionary dynamics in RNA viruses and cancer, where high mutation rates drive adaptation. He also explores 'terraforming' ecosystems to prevent catastrophic shifts, advocating for a multiscale synthesis across synthetic biology, ecology, and systems theory. The recent publications highlight his interdisciplinary approach, bridging virology, network theory, and evolutionary dynamics. His 2021 review on phase transitions in virology and 2018 paper on mutualistic networks as evolutionary spandrels reflect his focus on critical transitions and emergent structures in complex biological systems. Scientific Awards and Recognitions: ERC Advanced Grant (2012) Fellow, European Centre for Living Technology Advising and Grants: While specific students are not listed, Ricard Solé leads a research lab and likely mentors graduate students and postdoctoral researchers. His research is supported by major grants, including funding from the European Research Council and Fundación Botin, enabling long-term, high-risk theoretical and experimental work in synthetic and evolutionary systems. Labs and Teams: He heads the Complex Systems Lab at the PRBB in Barcelona, fostering interdisciplinary research at the intersection of physics, biology, and computation.
Jordan Andrew Snyder serves as a Visiting Lecturer in the Department of Science and Environment at Roskilde University, Denmark, where he is affiliated with the Centre for Mathematical Modeling - Human Health and Disease. His academic work integrates advanced mathematical techniques with biomedical research, particularly in hematology and complex network dynamics. Dr. Snyder's research spans two primary domains: Biomedical Modeling : Focused on myeloproliferative neoplasms (MPNs), including stem cell dynamics during ruxolitinib treatment, CALR mutation progression from clonal hematopoiesis to myelofibrosis, and prognostic markers like neutrophil-to-lymphocyte ratios Network Science : Investigating oscillator synchronization, coarse-grained modeling of complex systems, cascading failures in modular networks, and emergent structures in mutualistic ecosystems His publication analysis reveals a distinctive interdisciplinary trajectory where mathematical frameworks bridge hematologic malignancies and fundamental network principles. Recent work demonstrates how amplitude dynamics stabilize oscillator clusters (2025) and how CALR mutations manifest in population screening (2024), showcasing dual expertise in theoretical dynamics and clinical translation. Dr. Snyder operates within Roskilde University's Centre for Mathematical Modeling - Human Health and Disease, an interdisciplinary hub where mathematical approaches address complex biomedical challenges through close collaboration with clinical researchers and international institutions including Memorial Sloan Kettering Cancer Center.
M. Ángeles Serrano is an ICREA Research Professor at the Universitat de Barcelona, where she conducts interdisciplinary research in complex systems and network science. Her work bridges physics, biology, and economics through the study of complex networks and their real-world applications. Research Interests: Her primary focus lies in complex networks , including multiplex networks , networks of networks , and time-varying connectivity . She applies these frameworks to diverse systems such as molecular networks in cells, international trade, and socio-technological infrastructures. Her research emphasizes structural and dynamic properties of interconnected systems, aiming to uncover universal principles across domains. The most recent publications reflect a consistent trend in advancing theoretical and applied aspects of network science, particularly in multiscale modeling, visualization, and interdisciplinary applications. Her work integrates physics-based approaches with data-driven analysis across biological, economic, and social contexts. Scientific Awards: Outstanding Referee Award, American Physical Society Advising and Grants: While specific students are not listed, her leadership roles suggest active mentorship. She is a founding member of Complexitat , the Catalan network for complex systems, and a promoter of the UBICS (Universitat de Barcelona Institute of Complex Systems), indicating involvement in large-scale collaborative research initiatives and likely grant-funded projects. Labs and Teams: She is closely associated with UBICS and has collaborated internationally through institutions such as Indiana University, EPFL, and IFISC, suggesting integration into major research consortia focused on complexity science.
Martin Lautenschläger is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU Mechatronics), specializing in computational modeling and simulation of advanced engineering systems. His work bridges mechanical engineering and material science through high-performance computing, focusing on battery technologies, fluid dynamics, and nanoscale interactions. Academic Rank: Associate Professor Institution: University of Southern Denmark Research Focus: Battery microstructures, Lattice-Boltzmann methods, nanoscale lubrication, and multiphase flow simulations Research Trends: Recent publications emphasize pore-scale modeling of battery components, electrolyte filling processes, and multiscale approaches to optimize battery performance. His simulations span from molecular dynamics to continuum-level predictions, particularly in lithium-ion and lithium-sulfur systems. Collaborations: Active in interdisciplinary projects with institutions across Europe, focusing on energy storage, computational microstructure analysis, and manufacturing optimization. Teaching: Supervises master's and bachelor's theses in mechanical design, fluid dynamics, and battery technologies, while teaching core courses in mechanical engineering.
