جست‌وجوی استاد و پژوهشگر

Siew Ann Cheongمشاهده پروفایل

دانشیار

• Complex Systems
• Econophysics
• Computational Physics
• +۱۴ مورد دیگر

Siew Ann Cheong is an Associate Professor in the Division of Physics and Applied Physics at the School of Physical & Mathematical Sciences, Nanyang Technological University (NTU), Singapore. He is also an External Faculty member at the Complexity Science Hub (CSH) since 2019. Associate Professor, NTU (2016–present) Assistant Professor, NTU (2007–2016) Postdoctoral Associate, Cornell Theory Center (2006–2007) External Faculty, Complexity Science Hub (2019–present) Educational Background: B.Sc. (Hons) in Physics, National University of Singapore (1997) M.Sc., National University of Singapore (2000) M.Sc., Cornell University (2002) Ph.D. in Theoretical Condensed Matter Physics, Cornell University (2006) Siew Ann Cheong’s research centers on understanding the dynamics of complex systems with many degrees of freedom, such as financial markets, earthquakes, infectious diseases, biological sequences, and social systems. He employs both modeling and data-driven approaches to explore fundamental questions: What makes a system complex? How does complexity emerge? His goal is to develop a computational theory of complex systems by treating their dynamics as information processing. He applies methods from statistical physics, network science, time series analysis, and agent-based modeling to uncover universal principles across disciplines. His recent publications reveal a strong trend toward interdisciplinary research, particularly in econophysics, urban science, and computational history. He frequently uses topological data analysis (TDA), persistent homology, and network-based methods to study financial market crashes, urban gentrification, and knowledge evolution. His work bridges physics with social sciences, ecology, and digital humanities, demonstrating a consistent focus on identifying critical transitions and structural changes in complex systems. Scientific Awards: SPMS Excellence in Teaching Award (2008, 2010, 2011) Nanyang Award for Excellence in Teaching (2010) Science Mentorship Programme Outstanding Mentor Award (2010) Best Paper Award, International Conference on Culture and Computing (2013) Siew Ann Cheong has supervised numerous PhD, undergraduate, and high school research students, contributing significantly to academic mentoring. He has received multiple teaching awards, reflecting his commitment to education. His research is supported by interdisciplinary collaborations and grants, particularly in complex systems and data science. He has also contributed to computational history and heritage impact modeling through projects like SHIFT (Sustainable Heritage Impact Factor Theory). He leads a research group focused on complex systems, with former fellows and students now in academic and research positions worldwide. Labs and Research Groups: While no formal lab name is mentioned, his research is conducted within the Division of Physics and Applied Physics at NTU, involving a team of former and current students and fellows working on complex systems, econophysics, and network science. He collaborates with institutions such as the Complexity Science Hub, National University of Singapore, and international universities.

Jesús Crespo Cuaresmaمشاهده پروفایل

استاد

• Applied Econometrics
• Macroeconomics
• Economic Development
• +۷ مورد دیگر

Jesús Crespo Cuaresma is a Professor of Economics at the Vienna University of Economics and Business (WU), where he contributes to the School of Business. He holds multiple significant research affiliations: Director of Economic Analysis at the Wittgenstein Centre for Demography and Global Human Capital (WIC), Research Scholar at the International Institute of Applied Systems Analysis (IIASA), Research Consultant at the Austrian Institute of Economic Research (WIFO), and Visiting Professor at the Norwegian School of Economics. His research focuses on applied econometrics and macroeconomics, with strong emphasis on model uncertainty, human capital formation, international economic spillovers, and the interplay between demography and economic development. His interdisciplinary work bridges economics, environmental science, and policy analysis, often employing advanced statistical and spatial modeling techniques. The analysis of his recent publications reveals a consistent trend toward integrating macroeconomic modeling with demographic and environmental challenges. His work spans climate change impacts, education policy evaluation, migration effects, and global inequality, often using panel data, Bayesian methods, and machine learning. This reflects a broad engagement with global sustainability and development issues through rigorous econometric frameworks. Research Scholar, International Institute of Applied Systems Analysis (IIASA) Director of Economic Analysis, Wittgenstein Centre for Demography and Global Human Capital (WIC) Research Consultant, Austrian Institute of Economic Research (WIFO) Visiting Professor, Norwegian School of Economics He has advised multiple research projects and contributed to large-scale interdisciplinary initiatives, particularly in demography and global human capital. While specific grant details are not listed, his involvement in IIASA and WIC projects indicates leadership in externally funded, collaborative research programs focusing on global challenges. His work is conducted within and across major research centers including the Wittgenstein Centre and IIASA, which bring together demographers, economists, and environmental scientists to address pressing global issues such as population aging, education, and climate change.

Simon Levinمشاهده پروفایل

استاد

• Ecology
• Evolutionary Biology
• Spatial Ecology
• +۱۲ مورد دیگر

Simon Levin is the James S. McDonnell Distinguished University Professor in the Department of Ecology and Evolutionary Biology at Princeton University. He is also the Director of the Center for BioComplexity. His work bridges theoretical ecology, biodiversity science, and socioeconomic systems, with a strong emphasis on scaling principles and sustainability. Levin's research focuses on the dynamics of biological diversity across scales, from molecular to global systems. He investigates how ecological and evolutionary theory can inform sustainable management of natural resources, especially in the context of public goods and common-pool resources. His lab employs mathematical models and empirical data to explore collective behavior, ecosystem resilience, and biocomplexity. His recent publications reveal a strong trend toward integrating human behavior into ecological and epidemiological models, exploring prosocial behavior, risk compensation, and invasion dynamics. This reflects a growing emphasis on social-ecological systems and the role of human agency in environmental outcomes. Levin has advised several students and postdoctoral researchers, including Xander Huggins and Ryan Chisholm, both of whom have received notable recognition in ecology. His lab continues to publish in high-impact journals such as PNAS , Current Biology , and Journal of Theoretical Biology . He is actively engaged in research and shows no signs of retirement or former status, maintaining a current email and ongoing publication record.

Tiago de Paula Peixotoمشاهده پروفایل

استاد

• Network Science
• Complex Systems
• Statistical Physics
• +۱۳ مورد دیگر

Tiago de Paula Peixoto is a Professor of Complex Systems and Network Science at the Institute of Science and Technology Austria (IT:U), where he leads the Inverse Complexity Lab. He has previously held faculty positions at Central European University (2019–2024) and the University of Bath (2016–2019), and conducted postdoctoral research at the University of Bremen and Technical University of Darmstadt. He holds a PhD in Physics from the University of São Paulo (2008) and a habilitation in Theoretical Physics from the University of Bremen (2017). His research lies at the intersection of statistical physics, computational statistics, information theory, Bayesian inference, and machine learning , with a central focus on inverse problems in network science . His group develops principled mathematical and computational models to infer the local interaction rules of complex systems from observed macroscopic behavior. Key research themes include statistically sound pattern detection in networks, network reconstruction from indirect data, uncertainty quantification, generative modeling of modular hierarchies and latent spaces, and scalable inference algorithms. His recent publications (2020–2025) reflect a consistent focus on advancing the theoretical and algorithmic foundations of network inference. A major theme is the development of Bayesian and information-theoretic frameworks for robust network reconstruction, moving beyond simplistic heuristics like correlation thresholding. He has pioneered methods for posterior sampling to quantify uncertainty and for minimum description length to prevent overfitting. His work also addresses scalability, with algorithms achieving subquadratic time complexity. Applications span diverse domains, including social systems (migration flows), political networks, and biological systems. Erdős–Rényi Prize from the Network Science Society (2019) Alexander von Humboldt Foundation Fellowship (2008) Karate Club Club Prize (6th recipient) Peixoto advises a vibrant group of PhD students and postdoctoral researchers, including Thomas Robiglio, Sebastian Kusch, Martina Contisciani, and Bukyoung Jhun. His former students include Felipe Vaca, Lizhi Zhang, and Silvia Guerrini. He has not received any specific grant mentions in the text, but his group’s sustained activity suggests successful funding. His lab is strongly committed to open science, with most of their methods implemented in the widely used graph-tool library, which is extensively documented and freely available. The lab organizes events like the annual Inverse Complexity Retreat and participates in major conferences such as NetSci and STATPHYS. The group is actively recruiting new PhD candidates and postdocs, indicating ongoing expansion and research momentum.

Matjaz Percمشاهده پروفایل

استاد

• Complex Systems
• Nonlinear Dynamics
• Network Science
• +۱۲ مورد دیگر

Matjaz Perc is a Professor of Physics at the University of Maribor and Vice Dean of Natural Sciences at the European Academy of Sciences and Arts. He is a member of Academia Europaea and the European Academy of Sciences and Arts, and recognized among the top 1% most cited physicists by Clarivate Analytics in 2020. His research interests span Complex Systems , Network Science , Sociophysics , Game Theory , Evolution of Cooperation , Neural Networks , and Epidemic Modeling . He applies physics-based approaches to social, biological, and economic systems, often integrating AI and data analytics. The recent trend in his publications shows a strong focus on higher-order interactions in networks , cooperation dynamics , synchronization in neural systems , epidemic modeling on simplicial complexes , and AI-driven decision-making . His work bridges physics with applications in healthcare, economics, and sustainability. Young Scientist Award for Socio and Econophysics, German Physical Society, 2015 USERN Laureate, 2017 Zois Award, 2018 Fellow of the American Physical Society, 2019 Top 1% Most Cited Physicist, Clarivate Analytics, 2020 Matjaz Perc has not publicly listed his advisees, but he leads a prolific research group with extensive international collaborations. He has contributed to major interdisciplinary projects, including pan-European responses to the COVID-19 pandemic. His work is supported by high-impact publications and recognition from leading scientific academies. He is actively involved in promoting network science and complex systems research through editorial roles and collaborative platforms.

Andrea Rapisardaمشاهده پروفایل

استاد

• Complex Systems
• Statistical Mechanics
• Deterministic Chaos
• +۷ مورد دیگر

Andrea Rapisarda is a Full Professor of Theoretical Physics at the University of Catania, Italy, affiliated with the Department of Physics and Astronomy "Ettore Majorana" and INFN Catania. He is the coordinator of the PhD program in Complex Systems for Physical, Socio-economic and Life Sciences and serves as co-director of the International School on Complexity at the Ettore Majorana Foundation in Erice. Additionally, he is an External Faculty member at the Complexity Science Hub Vienna, reflecting his international academic engagement. His research spans Complex Systems, Statistical Mechanics, Deterministic Chaos, Nonlinear Dynamics, Complex Networks, and Agent-Based Models , with a strong emphasis on applications to socio-economic systems. He investigates the role of randomness, luck, and inefficiencies in hierarchical organizations, drawing from interdisciplinary methods in physics and computational modeling. His work has demonstrated how random strategies can outperform merit-based ones in organizational efficiency and democratic design. The 15 most recent publications highlight a consistent focus on modeling randomness in success, inequality, and decision-making across domains such as sports, economics, politics, and public health. His work integrates agent-based simulations, network analysis, and statistical physics to understand complex phenomena, often with policy-relevant implications. Ig Nobel Prize for Management (2010) Ig Nobel Prize for Economics (2022) Rapisarda is an active advisor and researcher, though specific student names are not listed in the provided texts. He has contributed to numerous editorial boards, including Physica A, Entropy, Frontiers in Physics (Social Physics) , and Complexity . He has also been involved in public outreach, policy discussions on democratic reform via sortition, and science communication through media interviews and public lectures. He leads research projects on improving organizational and societal systems using insights from complexity science.

• Transcriptomics
• Genomics
• Computational Biology
• +۴ مورد دیگر

Andreas Fønss Møller is a Postdoctoral Research Fellow at the Department of Biochemistry and Molecular Biology, Faculty of Science, University of Southern Denmark. His work focuses on transcriptomics , single-cell genomic analysis , and computational biology , with applications in developmental biology, metabolic diseases, and gene regulation. Academic affiliation: Faculty of Science, University of Southern Denmark Department: Biochemistry and Molecular Biology Research interests center around single-cell RNA sequencing , machine learning in genomics , and in silico modeling of biological systems. Recent publications highlight collaborations in metabolic diseases , adipose tissue dynamics , and developmental genomics , with a focus on computational methods like JOINTLY for data clustering. Scientific outputs include deep learning frameworks for gene regulation and studies on Xenopus epithelial development. He was principal grant holder for a project funded by the Aage og Johanne Louis-Hansens Fond (2020–2023), analyzing spatial transcriptomics during embryogenesis .

• Data Visualization
• Digital Humanities
• Cultural Heritage Preservation
• +۶ مورد دیگر

Jakob Kusnick is a Researcher at the University of Southern Denmark , affiliated with the Faculty of Science and the Department of Mathematics and Computer Science . His work bridges data science with cultural and environmental domains through advanced visualization techniques. Research Focus : Interdisciplinary data visualization for cultural heritage and ecological conservation. Methods : Combines narrative storytelling with geospatial-temporal analysis. Recent publications highlight his expertise in visual analysis across diverse contexts, from military diving safety to Arctic climate patterns . His PhD thesis on visualization-based storytelling establishes a framework for digital humanities applications. While no explicit awards are documented, his open-access publications and ORCID profile demonstrate active research contributions. Collaborations with institutions in Germany, Denmark, and Brazil underscore his international network.

Søren Krogh Andersenمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Visual Perception
• Selective Attention
• +۷ مورد دیگر

Søren Krogh Andersen is a Professor and Head of Unit in the Department of Psychology at the University of Southern Denmark, where he leads research in Health and Cognitive Psychology. He holds a PhD and is actively engaged in empirical and theoretical research on human visual cognition and attentional mechanisms. Research Interests: Cognitive Neuroscience Visual Perception Selective Attention Feature-based Attention Multiple Object Tracking Steady-State Visual Evoked Potentials (SSVEPs) EEG Fingerprinting His research investigates how attention modulates neural activity in early visual areas, with a focus on the temporal dynamics and spatial distribution of attention across visual features such as color and motion. He uses electrophysiological techniques, particularly EEG, to explore the neural basis of perception and attention. Recent publications show a consistent trend in studying attentional modulation in the visual cortex, the separation of luminance and contrast signals in SSVEPs, and the enhancement of perceptual abilities in specialized populations such as video game players. His work combines rigorous experimental design with advanced signal analysis to uncover fundamental principles of visual cognition. Scientific Engagement and Recognition: Active contributor to high-impact journals including PNAS , Journal of Cognitive Neuroscience , and Cerebral Cortex . Featured in media outlets such as TV 2 Fyn, indicating public engagement. ORCID: 0000-0002-7612-0127 Research widely accessed on platforms like Mendeley and Pure. He advises on cognitive neuroscience research and collaborates internationally, though specific students or grant funding are not listed. His work contributes significantly to the understanding of attention and perception, with potential applications in human-computer interaction, clinical psychology, and cognitive training.

Michael Szellمشاهده پروفایل

استادیار

• Urban Mobility
• Sustainability
• Network Science
• +۷ مورد دیگر

Michael Szell is Assistant Professor in the Department of Computer Science at the IT University of Copenhagen and External Faculty at the Complexity Science Hub Vienna. His interdisciplinary work bridges physics, mathematics, and computer science to study collective human behavior through large-scale data analysis and network modeling. Research Interests: His work centers on urban mobility, sustainability, and data visualization, with a focus on understanding how people interact with urban and online environments. Using computational and network-based methods, he investigates bicycle infrastructure, multimodal transport systems, sidewalk networks, and the social impacts of urban highways. His recent publications reveal a strong trend in urban sustainability and network science , particularly in optimizing bicycle networks and analyzing how urban design affects social connectivity. Articles in journals like Scientific Reports and PNAS highlight his impact in computational urban analytics. Award-winning developer of the massive multiplayer online game 'Pardus' Michael leads innovative research projects involving data-driven urban planning and has contributed to public discourse through media features and press highlights. His work often involves interdisciplinary collaboration and has practical implications for sustainable city development. He has developed interactive data visualization platforms and tools like BikeDNA for assessing cycling infrastructure.

Trivik Vermaمشاهده پروفایل

دانشیار

• Urban Science
• Urban Policy
• Spatial Data Science
• +۱۲ مورد دیگر

Trivik Verma is an Associate Professor at the Faculty of Technology, Policy and Management, Delft University of Technology, where he co-leads the Centre for Urban Science & Policy within the Department of Multi-Actor Systems. He previously served as the director of the TPM AI Lab and has been instrumental in fostering critical AI research and education. His work bridges urban science, policy, and community-driven innovation. His research focuses on urban inequalities, participatory planning, spatial data science, and social impact assessment . He develops open-source tools like SIA-City and Citizen Voice to support inclusive urban decision-making by integrating citizen input with spatial analysis. His work emphasizes justice, equity, and sustainability in urban development, particularly in the context of climate change and rapid urbanization. Recent projects reflect a strong trend in democratizing urban governance through digital tools, combining GIS, natural language processing, and participatory methods to uncover socio-spatial value conflicts and empower marginalized communities. These initiatives highlight a consistent focus on open-source, community-centered urban research. Scientific Awards and Grants: HORIZON Grant for Democratizing Just Energy Transitions (DUST) TU Delft Fund for Citizen Voice (open-source participatory tools) Trivik Verma is actively involved in advising and leading research initiatives, particularly those focused on critical AI, education reform, and participatory urban science . He has led grant-funded projects that involve collaboration with municipalities and civil society. His leadership in the TPM AI Lab and ongoing projects demonstrates a strong commitment to shaping a sustainable and inclusive research culture. He is associated with key research initiatives including the Centre for Urban Science & Policy , the TPM AI Lab , and leads the development of open-source platforms like Citizen Voice and SIA-City , which serve as hubs for interdisciplinary collaboration between urban planners, data scientists, and communities.

Lars Børty Nielsenمشاهده پروفایل

استادیار

• Epidemiology
• Oncology
• Health Services Research
• +۳ مورد دیگر

Lars Børty Nielsen is an Assistant Professor at Aalborg University Hospital, affiliated with the Department of Clinical Medicine within The Faculty of Medicine . He is also part of the Center for Clinical Data Science and Danish Center for Health Services Research . His research focuses on epidemiology, oncology, and health services research, with particular emphasis on cancer outcomes, clinical trial participation barriers, socioeconomic factors in healthcare, and spatial epidemiology of malignancies. Key research interests include: Survival analysis methodologies in lymphoma treatment Socioeconomic disparities in cancer care access Clinical trial design for vulnerable patient populations Geographical distribution of acute myeloid leukemia in Denmark Policy-relevant health data systems His work frequently utilizes Danish registry data to address real-world clinical challenges, with a focus on translating research into actionable healthcare policies. He collaborates extensively with institutions like the Danish Center for Health Services Research and has published extensively on methodological improvements in epidemiological studies. Grants and funding details are not explicitly listed, but his collaborative projects suggest involvement in multi-institutional research networks. He contributes to teaching and advising within clinical data science and health services research domains.

Lars Brorson Fichمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Architectural Design
• Neuroaesthetics
• +۵ مورد دیگر

Lars Brorson Fich is an Associate Professor at the Department of Architecture, Design and Media Technology within the Technical Faculty of IT and Design at Aalborg University. His research focuses on the intersection of architecture, neuroscience, and human behavior, particularly exploring how built environments influence cognitive processes and physiological responses. Education: Cand. Arch. (Architectural Degree). Research interests include architectural affordances, neuroaesthetics, embodied cognition, stress assessment in design, and the impact of urban spaces on memory and emotion. He leads the Brain, Body, Architecture Research group and collaborates with interdisciplinary teams on projects like 'The City as a Memory System' and 'Stress Assessment Tool for Architectural Design.' Notable projects include studying neuronal rhythms in urban environments, co-creation with children for space activation, and investigating how architectural elements affect cortisol levels. His work bridges cognitive science with design through methods like mobile brain imaging (MoBI) and virtual reality experiments. Publications span topics from spatial cognition in VR to material trajectories in construction. Media engagements highlight critical evaluations of urban planning failures (e.g., Hirtshals case studies) and advocacy for evidence-based architectural design in healthcare and education sectors.

Zakaria Djebbaraمشاهده پروفایل

دانشیار

• Neuroarchitecture
• Cognitive Neuroscience
• Virtual Reality
• +۳ مورد دیگر

Zakaria Djebbara is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology, part of The Technical Faculty of IT and Design. His research explores how built environments influence human cognitive processes, focusing on neural synchronization patterns and the interplay between architectural features and attention/working memory. He employs Virtual Reality (VR) combined with mobile EEG and body tracking to study these phenomena. Key Projects: "Neuronal and Urban rhythms effect on memory" (2024-2027, PhD supervision) "Architecture & Transitions: an enactive and electrophysiological approach" (2017-2020) Research Themes: Neuroarchitecture and cognitive neuroscience Embodied cognition and sensorimotor interactions Mobile brain/body imaging (MoBI) His work bridges architecture, neuroscience, and technology, examining how spatial rhythms and visual patterns shape neural activity. Recent studies include EEG investigations in historical cities like Ghardaïa, Algeria, and VR experiments analyzing navigation strategies. Awards: 2021 Spar Nord Fondens Forskningspris 2020 Brain Products MoBI Award Key Contributions: Developed the BeMoBIL pipeline for multimodal neuro-architectural data analysis Advocated for biophilic design and adaptive facades to enhance well-being Co-organized the Designing Atmospheres symposium (2023)

Joao Henrique Inacio de Souzaمشاهده پروفایل

پژوهشگر ارشد

• Wireless Communications
• Reconfigurable Intelligent Surfaces
• Signal Processing
• +۴ مورد دیگر

Joao Henrique Inacio de Souza is a Postdoctoral Researcher at the Department of Electronic Systems within the Faculty of IT and Design at Aalborg University, Denmark. Based at Fredrik Bajers Vej 7C, C1-105, 9220 Aalborg Øst, he operates under the Connectivity section with research focusing on advanced wireless communication systems. His work bridges theoretical signal processing with practical network optimization challenges in next-generation telecommunications. Research Focus: Dr. Souza specializes in temporal dynamics within wireless networks, particularly preserving simultaneity and chronology for sensing applications. His expertise spans reconfigurable intelligent surfaces (RIS), quality of service optimization in crowded XL-MIMO environments, and non-stationary channel modeling for 5G/6G systems. Key methodologies include temporal window integration techniques and multiplexing strategies for eMBB/URLLC services, addressing critical gaps in real-time wireless sensing and ultra-reliable communications. Publication Trends: His 2023-2025 output reveals a concentrated trajectory toward solving temporal coherence challenges in perceptive networks. Six publications demonstrate progressive refinement of RIS-assisted control mechanisms, with increasing emphasis on simultaneity preservation (2025) after foundational work on QoS-aware scheduling (2023). The research consistently targets 6G-enabling technologies through novel approaches to time-varying channel management and spatial multiplexing. Scientific Recognition: No formal awards or fellowships documented in current records Collaborative Framework: Active collaborations with Popovski, Soret, and Abrao indicate integration within Aalborg University's wireless research ecosystem. No student advisement or grant management details are publicly available. Research Infrastructure: Works within the Connectivity section's experimental framework for wireless temporal coherence testing, leveraging university resources for RIS prototyping and channel emulation.