جست‌وجوی استاد و پژوهشگر

• Robotics
• Mechatronics
• Ferrofluids
• +۳ مورد دیگر

Zoran Cenev holds a Tenure Track Assistant Professor position within the Mechatronics and Dynamics section of the Department of Mechanical and Production Engineering at the School of Engineering, Aarhus University. His primary institutional affiliation is with AU Engineering, and contact details include email zoran.cenev@mpe.au.dk and telephone +45 20 64 75 44, with office location Aarhus N, 5128-140. Research interests focus on interdisciplinary applications of magnetic and robotic systems: Robotic micromanipulation via electromagnetic needles Ferrofluid-based biofabrication for skeletal muscle engineering Laser-induced photothermal droplet control Theoretical modeling of particle dynamics at fluid interfaces Surface engineering for underwater metallic stability Nanostructure formation through ion bombardment His recent publications (2023-2025) reveal a dominant trend in adapting ferrofluids for biomedical automation, particularly 3D bioprinting of magnetically responsive tissues and droplet manipulation on engineered surfaces. This work bridges mechanical engineering with regenerative medicine, emphasizing practical implementations of theoretical models for microscale precision. Scientific awards are not documented in the provided information. As a faculty member, Dr. Cenev likely mentors graduate students and pursues research grants, though specific advisees or funding details are absent. Departmental laboratories and workshops support his experimental work in mechatronics, with emphasis on magnetic manipulation systems and surface characterization.

Kunihiko Kanekoمشاهده پروفایل

استاد

• Theoretical Biophysics
• Complex Systems
• Chaos
• +۶ مورد دیگر

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.

Yukiko Gotohمشاهده پروفایل

استاد

• Neural Development
• Neural Stem/Progenitor Cells
• Epigenetics
• +۷ مورد دیگر

Yukiko Gotoh is a Professor at the Department of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, The University of Tokyo. She serves as the Deputy Director and Principal Investigator at the International Research Center for Neurointelligence (IRCN). Her research focuses on understanding the mechanisms that regulate neural stem/progenitor cell fate during embryonic brain development and in the adult brain. Dr. Gotoh's research interests include: Genetic and epigenetic regulation of neural stem/progenitor cell fate Neuronal maturation processes Genesis and maintenance of adult neural stem cells Relevance of neural stem/progenitor cell dysregulation in neurodevelopmental disorders such as autism spectrum disorders Investigation of mechanisms regulating neural stem-progenitor cell fate during neocortical development Genetic and epigenetic regulation of neuronal activation Analysis of Dr. Gotoh's recent publications reveals a strong focus on neural stem cell biology, epigenetic regulation, and neurodevelopmental disorders. Her work demonstrates how chromatin modifiers like Polycomb group proteins and HMGA proteins regulate neural stem cell fate decisions during brain development. A significant portion of her research explores the embryonic origins of adult neural stem cells and how dysregulation of these processes contributes to conditions like autism spectrum disorders and schizophrenia. Her laboratory also investigates the basic mechanisms of cellular responses to viral infection in the brain and their relevance to neurodevelopmental disorders. Dr. Gotoh has made significant contributions to understanding: The role of Polycomb group proteins in neural development How chromatin modifiers regulate neurogenic potential Cell cycle regulation in neural stem cells The PDK1-Akt pathway in neuronal migration Layer-specific heterogeneity of astrocytes Mechanisms underlying schizophrenia-related abnormalities Dr. Gotoh's laboratory conducts research on multiple fronts related to neural development and stem cell biology. Her team investigates: Mechanisms regulating neural stem-progenitor cell fate during neocortical development Genetic and epigenetic regulation of neuronal activation The embryonic origin of adult neural stem cells Dysregulation of neural stem-progenitor cell and neuronal fate in neurodevelopmental disorders Innate immune responses in the brain

• Sociology of education
• Globally mobile professionals
• Elites and elite education
• +۷ مورد دیگر

Claire Maxwell is a Professor in the Department of Sociology at the University of Copenhagen, affiliated with the Faculty of Social Sciences. She joined the department in 2018 from University College London. Her research focuses on elites, global mobility, education systems, and social inequality, with a particular emphasis on how internationalization and mobility shape class dynamics and family practices. Education: PhD in Sociology (University of London, 2005) MSc in Applied Social Studies and Social Work (University of Oxford, 1999) MA(Hons) in Politics, Philosophy and Economics (2005) Research Interests: Maxwell’s work examines global middle-class families, elite education systems, and the interplay between mobility and nationalism. She pioneered the concept of 'cosmopolitan nationalism' to analyze how global agendas are re-purposed by elites. Current projects include SkillsINCORP (funded by the Independent Research Fund Denmark), studying high-skilled professionals' incorporation into Danish workplaces, and Onboard Denmark (Innovation Fund Denmark), developing tools for SMEs to recruit international talent. Grants & Projects: SkillsINCORP (2022-2025): Investigating professional integration in Danish firms Onboard Denmark (2021-2024): Digital tools for SMEs Israeli Science Foundation-funded study on mobile Israeli families (2020-2023) Labs/Teams: Leads cross-disciplinary teams collaborating with industry partners on global mobility challenges. Co-edits the International Studies in Sociology of Education (until 2024) and the Education in Global Perspectives book series.

Alex Arenasمشاهده پروفایل

استاد

• Complex Systems
• Network Science
• Multilayer Networks
• +۱۲ مورد دیگر

Alex Arenas is a Full Professor in the Department of Computer Engineering and Mathematics at Universitat Rovira i Virgili (URV), Tarragona, Spain. He is also an External Faculty member at the Complexity Science Hub in Vienna and Chief of Complex Systems Science at the Pacific Northwest National Laboratory, USA. His research spans complex systems, network science, computational epidemiology, and multilayer dynamics, with applications in public health, neuroscience, and social systems. Research Interests: His work focuses on the physics of multilayer networked systems, particularly the interplay between structure and function in complex networks. Key areas include synchronization, epidemic modeling, network medicine, the physics of the microbiome, and higher-order interactions in spreading processes. He investigates dynamic transitions using functional multilayer frameworks and develops models for real-world systems like urban mobility and misinformation diffusion. The recent articles highlight a strong trend in computational epidemiology, especially post-COVID modeling of vaccination strategies, rebound dynamics, and wastewater surveillance. There is also significant work on synchronization in oscillator networks, chimera states, and higher-order network effects, reflecting a deep engagement with nonlinear dynamics and theoretical network science. Applications span medicine, urban planning, and social systems. Scientific Awards: Fellow, American Physical Society (2018) Fellow, Network Science Society (2020) ICREA Academia (2011, 2017, 2022) Narcís Monturiol Medal (2022) Web Science Trust Test of Time Award (2024) Complex Systems Society Senior Award (2024) Advising and Grants: Arenas has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed. He has been Principal Investigator on 47 research projects, including EU FP7 projects, a James S. McDonnell Foundation grant, and Horizon Europe's CREXDATA project. He has served as an editor for Physical Review E , Journal of Complex Networks , and Network Neuroscience , and has reviewed for major funding agencies including ERC, MINECO, and international bodies. Labs and Teams: He leads the Alephsys Lab at URV, which develops tools like Radatools for network analysis and community detection. His team focuses on interdisciplinary modeling of real-world complex systems using data-driven and theoretical approaches.

Sebastian Risiمشاهده پروفایل

استاد

• Neuroevolution
• Evolutionary Robotics
• Self-Organizing AI
• +۹ مورد دیگر

Sebastian Risi is a Professor at the IT University of Copenhagen , where he directs the Creative AI Lab and co-directs the Robotics, Evolution and Art Lab (REAL) . His work bridges computational evolution, deep learning, and collective intelligence for applications in robotics, art, and video game design. His research focuses on self-organizing AI systems that grow or assemble through local interactions, inspired by biological development. Key areas include neuroevolution , neural cellular automata , and generative modeling , with applications in adaptive robotics, game content creation, and damage-resilient AI. Recent publications highlight trends in self-assembling neural architectures (NDPs) and 3D functional machine generation (Minecraft experiments). Awards include ERC Consolidator Grant (2022), Best Paper at FDG’21 , and Google Faculty Award (2019). Scientific Awards : ERC Consolidator Grant (GROW-AI), Best Paper FDG’21, Runner-Up IEEE Games’20, GECCO 2017 Competition Winner, Sapere Aude Grant, Amazon/Google Faculty Awards He advises on projects like GROW-AI (EU-funded), AI-TESTER (game testing), and C2SIM (military systems). Media coverage includes Science , Wired , and Popular Science .

Philip Billeمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• String Processing
• +۹ مورد دیگر

Philip Bille is a Professor and Head of the Algorithms, Logic and Graphs section at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), College of Engineering. His research centers on the design and analysis of efficient algorithms, particularly for string processing, compressed data, and data structures. His research interests lie at the intersection of theoretical computer science and practical applications. He focuses on algorithms , data structures , string indexing , pattern matching , and compressed computation . His work enables efficient querying and processing of large-scale, repetitive data, with applications in bioinformatics, intrusion detection, and green computing. The recent publications reflect a strong trend in developing space-efficient and fast algorithms for modern computational challenges. Key themes include compressed data structures , sliding window indexing , finite automata compression , and energy-aware matrix operations . These works demonstrate expertise in balancing theoretical rigor with practical performance. Philip Bille actively supervises multiple PhD students and leads several research projects. He contributes to advancing sustainable computing aligned with UN SDGs. His work integrates algorithmic theory with real-world efficiency. Supervises PhD projects on hierarchical compression, adaptive computation, and vector processor algorithms. Involved in research on green computing, compressed formats, and efficient data models. He is affiliated with the Algorithms, Logic and Graphs group at DTU, a hub for theoretical and applied algorithmic research. The team explores fundamental problems in data representation and processing, pushing the boundaries of what is computationally feasible in terms of time and space.

Riikka Rinnanمشاهده پروفایل

استاد

• Biology
• Ecosystem-Atmosphere Interactions
• Climate Change
• +۳ مورد دیگر

Professor Riikka Rinnan (University of Copenhagen) is a leading expert in ecosystem-atmosphere interactions, focusing on volatile organic compounds (VOCs) in Arctic environments. Her groundbreaking discovery of VOCs in permafrost has advanced climate prediction models, revealing complex interactions between climate warming, insect herbivory, microbial activity, and vegetation shifts. Current position: Professor, Department of Biology, University of Copenhagen Major research themes: Permafrost VOCs, Arctic climate feedbacks, plant-insect-microbial interactions International collaborations: China, Germany, Russia Her work combines field expeditions in extreme Arctic conditions with laboratory experiments and advanced VOC analysis. Climate warming experiments show VOC emissions could increase 40-fold with combined warming and insect attacks, while Arctic soils may act as unexpected VOC sinks. Key publications appear in Nature Communications , Nature Geoscience , and Global Change Biology . Riikka Rinnan has received prestigious awards including the EliteForsk Award, European Research Council Consolidator Grant, and Sapere Aude Research Leader. She leads international research teams, advises five PhD candidates, and supervises four postdocs (including two Marie Curie fellows). Her Siberian expedition plans demonstrate commitment to real-world scientific challenges.

Vito Latoraمشاهده پروفایل

استاد

• Complex Systems
• Network Science
• Applied Mathematics
• +۱۳ مورد دیگر

Vito Latora is a Professor of Applied Mathematics and Chair of Complex Systems at the School of Mathematical Sciences, Queen Mary University of London, and also holds the position of Professor of Theoretical Physics at the University of Catania. He leads the Complex Systems and Networks Group, driving cutting-edge research at the intersection of physics, mathematics, and interdisciplinary sciences. His research focuses on complex systems, particularly the structure and dynamics of networks, including multiplex, temporal, and higher-order networks such as simplicial complexes and hypergraphs. He explores applications in social, biological, financial, and cognitive systems, with recent work on creativity, innovation, and success through network analysis. The 15 most recent publications reveal a strong trend in advancing network theory beyond pairwise interactions, with a focus on higher-order structures, memory effects, synchronization, and epidemic spreading. His work combines rigorous mathematical modeling with real-world applications, often published in high-impact journals like Nature Communications , Physical Review Letters , and Science Advances . Dual communities in spatial and biological networks Modeling epidemics with limited detection resources Synchronization via higher-order and directed interactions AI-driven financial risk management Evolutionary games on hypergraphs Interdisciplinary success and funding dynamics Vito Latora has mentored several researchers who appear as co-authors, including Iacopini, Williams, Di Bona, and Lacasa. While specific grants are not listed, his collaborative projects with neuroscientists and anthropologists, along with frequent publications, suggest active funding. He is involved in major scientific events such as NetSci 2023, indicating leadership in the network science community. He leads the Complex Systems and Networks Group at Queen Mary, fostering a collaborative environment for studying complex systems through theoretical, computational, and data-driven approaches.

Karina Kosiara-Pedersenمشاهده پروفایل

دانشیار

• Political parties
• Party organizations
• Party membership
• +۱۳ مورد دیگر

Karina Kosiara-Pedersen is an Associate Professor at the Department of Political Science, University of Copenhagen. She coordinates the Center for Voting and Parties (CVAP) and contributes to the Gender & Politics research group. Her work focuses on party membership, organizational development, candidate recruitment, and political harassment. Research keywords include political parties, democracy, electoral systems, and political violence Teaching courses in Danish and Comparative Politics Current research examines gender-based anger in politics (2024-2025), political harassment (DIPAS, 2022-2025), and candidate surveys across municipal/regional/parliamentary elections. She co-leads the Political Parties Database (PPDB) and studies online harassment. Her media contributions (1,193) often address Danish political trends, including recent analysis of electoral shifts and parliamentary dynamics. She serves on the Department’s Faculty board and has been study board chair since 2022.

Markus Listمشاهده پروفایل

استاد

• Data Science
• Systems Biology
• Bioinformatics
• +۴ مورد دیگر

Prof. Dr. Markus List is a Professor of Data Science of Systems Biology at the TUM School of Life Sciences, Technical University of Munich (since 2023). He previously served as Group Leader at the Chair of Experimental Bioinformatics (2018–2023) and held a PostDoc position in Computational Biology at the Max-Planck Institute for Informatics (2015–2018). His educational background includes a PhD in Molecular Oncology, an MSc in Bioinformatics from the University of Southern Denmark, and BSc and further studies in Bioinformatics at Eberhard-Karls Universität Tübingen. Current Role: Professor of Data Science and Systems Biology Previous Roles: Group Leader, PostDoc, and Academic Researcher His research focuses on interdisciplinary applications of data science to systems biology, bioinformatics, and molecular oncology. He also explores organizational theory, innovation processes, and the dynamics of routines in management contexts. His work bridges computational methods and organizational challenges, addressing topics like digital twins, distributed innovation, and strategic adaptation. Key contributions include studies on organizational imprinting, digital transformation in firms, and the role of routines in institutional dynamics. His research has been published in top-tier journals and presented at international conferences.

Jeanet Sinding Bentzenمشاهده پروفایل

دانشیار

• Political Economy
• Cultural Values
• Economic Growth
• +۵ مورد دیگر

Jeanet Sinding Bentzen is an Associate Professor at the Department of Economics, University of Copenhagen, with affiliations at CAGE (Warwick University), SoDa Labs (Monash University), and as a CEPR Research Affiliate. Her work bridges political economy , cultural values , and long-term economic development , focusing on how religiosity shapes institutions and outcomes. Education : PhD and MSc in Economics from University of Copenhagen. Research : Uses global datasets and historical analysis to study religion's economic impacts, including disasters, pandemics, and pre-industrial institutions. Teaching : Offers courses on Economic History, Philosophy of Science, and Economics of Culture. Article Trends : Recent work examines religious legislation , cultural assimilation , and firm-level productivity , combining big data with case studies from 2025 to 2018. Media coverage includes The Economist , The Washington Post , and Boston Globe . Scientific Awards : Dagbladet Informations PhD Cup (2012) Sapere Aude Research Leader (2020) Key Collaborations : Works with institutions in Denmark, UK, Australia, and U.S., covering religion-economics intersections, historical institutions, and disaster response.

Kirsten Gram-Hanssenمشاهده پروفایل

استاد

• Energy Consumption
• Sustainable Transition
• Everyday Life Practices
• +۶ مورد دیگر

Kirsten Gram-Hanssen is a Professor at Aalborg University, specifically within the Department of Construction, Urban and Environmental Engineering at the Faculty of Engineering and Science. Her academic work is centered in the Section for City, Housing and Property, where she leads the Research Group for Sustainable Cities and Everyday Practice. She maintains an active research profile with numerous publications and projects focused on sustainable energy systems. Her educational background is not explicitly detailed in the provided text, but her PhD specialization in socio-technical analyses forms the foundation of her interdisciplinary approach connecting social sciences with engineering perspectives on sustainability. Gram-Hanssen's research interests focus on housing, everyday life, and consumption from a climate and energy perspective . She examines differences in household consumption practices through a practice-theoretical lens that emphasizes routines and technical infrastructures. Her work demonstrates that social organization of everyday life matters as much for home energy consumption as the technical efficiency of buildings and appliances. She also investigates how new technologies like private solar panels and smart home controls affect both energy consumption and daily life practices. Her research has significant implications for sustainable transitions and energy policy. Her recent publications show a clear trend toward addressing the energy crisis, sustainable consumption practices, and the intersection of technology with everyday life. The research spans domains including housing, food, and mobility, with a strong focus on practical solutions for energy transition and sustainability challenges. Her work increasingly addresses inequality, ethics, and policy implications of energy transitions. Active Principal Investigator on multiple major research projects including SGD: Shared Green Deal (2022-2027), FoMoHo: Food, Mobility and Housing in the Sustainable Transition of Everyday Life (2021-2025), and GECKO: Building greener societies (2021-2024) Frequent media commentator on energy and sustainability issues, with 197 media appearances documented Extensive research dataset creation including the eCAPE energy crisis interviews (2024) and smart home interviews (2022) Regular contributor to international conferences and workshops on sustainable consumption and energy practices Professor Gram-Hanssen has supervised numerous PhD students (9 documented) and actively participates in the academic community through peer review, conference organization, and editorial work. Her research group, the Research Group for Sustainable Cities and Everyday Practice, works at the intersection of social science and engineering to address sustainability challenges through understanding everyday practices and their relationship to energy systems.

Christian Kühnمشاهده پروفایل

استاد

• Dynamical Systems
• Differential Equations
• Stochastic Dynamics
• +۵ مورد دیگر

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.

Naja Blytmann Trondhjemمشاهده پروفایل

دانشیار

• Greenlandic Language
• Inuit Languages
• Syntax
• +۵ مورد دیگر

Naja Blytmann Trondhjem serves as Associate Professor in the Department of Cross-Cultural and Regional Studies at the University of Copenhagen's Faculty of Humanities, concurrently leading the Language Research Center at the University of Greenland. Her research bridges linguistic theory with practical applications in Greenlandic language preservation and education through collaborations with Ilisimatusarfik, National Museum of Greenland, and Danish healthcare institutions. Her academic credentials include: Ph.D. in West Greenlandic Language (2008) Master in West Greenlandic Language with Linguistics (2000) Physiotherapy qualification (1984) Trondhjem's research centers on Greenlandic syntax, morphology, and morphophonology, examining syntactic constructions, suffix usage in word formation, and phonological changes during morpheme attachment. Her comparative studies span Greenlandic dialects and other Inuit languages, addressing language evolution and structural variations with emphasis on derivational/inflectional affixes and sentence construction differences. Analysis of her publications reveals sustained focus on aspectual phenomena in West Greenlandic—including verbal aspect, distributive/collective markers, and habitual constructions—alongside investigations into emotion expression, valency systems, and language education challenges. This work demonstrates interdisciplinary integration of linguistic theory with cognitive science and healthcare applications. Dr. Trondhjem leads three major collaborative initiatives: 'Last call - Greenlandic dialects as linguistic heritage' documenting dialectal diversity; 'Teaching in Greenlandic at primary schools' addressing educational barriers; and 'Grammar and agrammatism in Greenlandic' studying aphasia patterns in collaboration with Danish and Greenlandic hospitals. She actively participates in expert committees regarding Greenlandic affairs in Denmark, organizes Greenlandic grammar workshops, and contributes to media discussions on language policy, dialect preservation, and educational challenges facing Greenlandic speakers.