جستجوی استاد راهنمای دانشگاهی

Marina Alberti is a Professor of Urban and Environmental Planning at the University of Washington, affiliated with the Department of Urban Design and Planning. She directs the Interdisciplinary Ph.D. Program in Urban Design and Planning and leads the Urban Ecology Research Laboratory. Her expertise lies in studying the interactions between urban development patterns and ecosystem dynamics, focusing on resilience, socio-ecological innovation, and biocomplexity. Her research emphasizes interdisciplinary approaches to urban ecological problems, with a strong focus on Geographic Information Systems (GIS), land cover change, and environmental performance metrics. She has developed simulation models integrating urban development and ecological processes, supported by NSF, NOAA, and Washington state grants. NSF Biocomplexity Program Grant : Developing simulation models for urban-ecological integration. Washington State Department of Transportation Grant : Remote sensing for impervious surface estimation. NOAA/Washington Department of Ecology Grant : GIS analysis of land use and shoreline habitats. Her work spans urban planning, ecological assessment, and policy-making, with a methodological emphasis on GIS, remote sensing, and land use dynamics. She has contributed extensively to journals like International Regional Science Review , Urban Ecosystems , and BioScience , addressing topics such as urban gradients, biodiversity, and environmental sustainability. Alberti's teaching includes Urban Ecology, Environmental Planning, GIS, and advanced research design, reflecting her commitment to training the next generation of urban ecologists.

• Urban Ecology
• Environmental Planning
• Ecosystem Dynamics
• +۹ مورد دیگر

Dr. Steven Manson is a Professor in the Department of Geography, Environment, and Society at the University of Minnesota's College of Liberal Arts, where he also served as Associate Dean for Research and Graduate Programs. He directs the Human-Environment Geographic Information Science (HEGIS) laboratory and leads major data science initiatives like the National Historical Geographic Information System (NHGIS) and IPUMS Terra. PhD in Geography, Clark University (2002) BA Honours in Geography, University of Victoria (1995) His research focuses on geographic information science and human-environment systems , using agent-based modeling and big data to analyze land use change, urban dynamics, and sustainability challenges. Recent work explores spatiotemporal data harmonization and geospatial cyberinfrastructure . The articles reveal trends in GIScience methodology , urbanization analysis , and data-intensive sustainability research . Key contributions include self-organizing map applications for health data and hybrid statistical-GIS techniques for environmental policy. Scientific accolades include: Ecological Society of America Sustainability Science Award NASA Earth System Science Fellow McKnight Land Grant Professorship As Principal Investigator for NHGIS and IPUMS Terra, he secured over $40M in NSF, NIH, and DOJ grants for spatiotemporal data infrastructure. Outreach initiatives include developing open geospatial textbooks adopted globally and collaborating with Twin Cities K-12 programs.

• Geographic Information Science
• Environmental Science
• Biocomplexity
• +۱۲ مورد دیگر

Filippo Menczer is a Professor of Informatics and Computer Science and Director of the Center for Complex Networks and Systems Research at Indiana University School of Informatics and Computing. He maintains courtesy appointments in Cognitive Science and Physics, and is affiliated with the Center for Data and Search Informatics and the Biocomplexity Institute. Additionally, he holds a Fellowship at the ISI Foundation in Torino, Italy. His research spans computational analysis of digital ecosystems with emphasis on: Web Science: structural and behavioral analysis of internet-scale systems Social Media Dynamics: information diffusion, meme competition, and attention economy modeling Complex Networks: traffic pattern analysis, popularity dynamics, and social link prediction Publications from 2009-2012 reveal consistent focus on social network analytics and information diffusion mechanisms. Key trends include modeling attention-limited meme competition, bursty popularity patterns in social media, and social link prediction through metadata analysis. His work integrates network science, computational social science, and data mining to decode online behavior. His scientific recognition includes: Fellow of ISI Foundation (2013) He leads the NaN research group within the Center for Complex Networks and Systems Research, focusing on interdisciplinary approaches to complex information networks and social media analytics.

• Web Science
• Social Media
• Social Networks
• +۵ مورد دیگر

Prof. Mike Boxem is a Professor in the Department of Biology at Utrecht University's Faculty of Science, specializing in Developmental Biology. His research focuses on epithelial polarity, cell polarity complexes, and C. elegans genetics. He holds a PhD from Utrecht University (2002) and completed postdoctoral work at the Dana-Farber Cancer Institute. Notable honors include the NWO Vici (2016), NWO Vidi (2010), and ECHO grants. He leads the PolarNet Marie Curie ITN network and has supervised 8 research projects. His work contributes to understanding cell polarity mechanisms and developmental processes in C. elegans. Educations: BSc Medical Biology, VU University Amsterdam PhD in Biology, Utrecht University (2002) Research Interests: Boxem’s lab investigates how cell polarity complexes regulate epithelial tissue organization in C. elegans. Key topics include Crumbs polarity proteins, intermediate filaments, and signaling pathways controlling lumen formation and germline development. His work integrates genetic, biochemical, and imaging approaches to dissect molecular mechanisms underlying polarity establishment and maintenance. Grants & Awards: NWO Vici Grant (2016) - Supports long-term research NWO Vidi Grant (2010) - Established his independent lab ECHO Grant (2014) - European funding for collaborative projects Labs/Teams: His group is part of the Biodynamics and Biocomplexity research division. Collaborations span global networks, including the PolarNet consortium focusing on epithelial polarity.

• Developmental Biology
• Cell Polarity
• Protein-Protein Interactions
• +۳ مورد دیگر

Theresa Ong is an Assistant Professor of Environmental Studies at Dartmouth College , where she investigates the complexity of coupled human-natural systems, particularly in agriculture and urban ecosystems. Her research integrates agroecology, complex systems theory, and theoretical ecology to analyze how agricultural systems maintain stability under social and environmental stressors. Education: B.A., Williams College M.S., University of Michigan, Ann Arbor Ph.D., University of Michigan, Ann Arbor Research Interests include agroecology, urban agriculture, biocomplexity, biological control, critical transition theory, socio-ecological modeling, and non-linear dynamics. She focuses on how spatial, temporal, and species diversity (biocomplexity) affects the resilience of agricultural systems to ecological and political disturbances. Recent Publications highlight trends in agroecological transitions, urban biodiversity dynamics, climate adaptation in agroforestry, and mathematical modeling of ecological resilience. Her work frequently explores the interplay between human activities and ecological feedback mechanisms. Scientific Awards: NSF Postdoctoral Fellowship in Biology FY 2017 Lab: The Ong Lab studies complex adaptive systems like agriculture, where human impacts on ecosystems create feedback loops affecting society. Current projects examine spatial patterns, consumer-resource dynamics, and strategies to prevent ecological tipping points.

• Agroecology
• Urban Agriculture
• Biocomplexity
• +۵ مورد دیگر

Stephen Eubank serves as Professor of Biocomplexity and Professor of Public Health Sciences at the University of Virginia, where he holds a tenured position in the Department of Public Health Sciences and acts as deputy director of the Biocomplexity Institute. His work bridges computational modeling, epidemiology, and complex systems theory with significant contributions to large-scale simulation frameworks. Eubank's educational background includes: B.A. in Physics from Swarthmore College (1979) Ph.D. in Physics from the University of Texas at Austin (1986) Postdoctoral Associate in Fluid Turbulence at La Jolla Institute (1987) Postdoctoral Associate in Nonlinear Dynamics at Los Alamos National Laboratory (1991) His research centers on simulating socio-technical systems and computational epidemiology, with particular expertise in network structure dynamics and scaling phenomena. Eubank investigates how disease transmission and other diffusive processes interact with underlying network topologies, developing advanced simulation technologies for modeling realistic population behaviors. His work integrates physics-based approaches with public health applications through the Urban Infrastructure Suite framework. Eubank maintains an active research leadership profile as Principal Investigator for a key research group within the National Institutes of Health's MIDAS network. His career includes founding Prediction Company for market time-series analysis and serving as Visiting Scientist at ATR Kyoto for natural language processing research. As deputy director of the Biocomplexity Institute, Eubank leads the Urban Infrastructure Suite initiative—a collection of interoperable simulations modeling individual behaviors across entire urban regions. This work integrates physical infrastructure networks with social dynamics to model complex system interactions, building on his earlier TRANSIMS and EpiSims projects developed during his tenure at Los Alamos National Laboratory.

• Computational Epidemiology
• Complex Systems
• Network Science
• +۳ مورد دیگر

Ala Trusina is an Associate Professor at the Niels Bohr Institute , University of Copenhagen , specializing in Biocomplexity and Biophysics . Her research integrates coarse-grained modeling to study complex biological systems. Key Research Areas Stress Response Systems (diabetes, aging, cancer, inflammation) Stem Cell Differentiation (cell fate coordination, reversibility of states) Complex Systems (species coexistence, epidemics, CRISPR-phage interactions) Methodologies Theoretical: Agent-based modeling, in-silico simulations Experimental: Quantitative single-cell imaging, RNA/protein profiling Collaborations Joshua Brickman (ES cells), Anne Grapin-Botton (pancreas), Feroz Papa (diabetes), Else Kai Hoffman (p53 dynamics) Thomas Mandrup-Poulsen (inflammation), Savas Tay (spatio-temporal regulation) Teaching Physics of Molecular Diseases Numerical Methods in Physics

• Systems Biology
• Stress Response
• Stem Cell Differentiation
• +۳ مورد دیگر

Adrià Bravo Vidal is a PhD Fellow at the Niels Bohr Institute , University of Copenhagen, affiliated with the Biocomplexity and Biophysics group. His work focuses on computational and theoretical approaches to biological complexity. Research Interests Biocomplexity and Biophysics Membrane Physics Computational Modeling of Biological Systems Theoretical Approaches to Cellular Processes Recent Research Output Bravo Vidal contributed to the accepted manuscript TS2CG as a membrane builder (2025), focusing on advanced computational methods for membrane structure analysis.

• Biophysics
• Computational Biophysics
• Membrane Physics
• +۳ مورد دیگر

Dr. Gholamhossein (Mohsen) Bagheri is a Researcher and Group Leader at the Max Planck Institute for Dynamics and Self-Organization , leading the Turbulence and Particles in Fluids group within the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity . His work bridges fluid dynamics , atmospheric physics , and environmental health , focusing on turbulent, particle-laden flows in natural and indoor systems. His research explores how turbulence governs the dispersion of respiratory particles , volcanic ash , microplastics , and cloud microphysics . Key projects include the Max Planck CloudKite (airborne measurements of clouds), HoloTrack (3D droplet tracking), and WinDarts (planetary boundary layer turbulence). His group also investigates indoor aerosol dynamics , contributing critical insights into Covid-19 transmission and ventilation strategies. Publications highlight a broad scope: 2025 papers on Palabos Turret simulations, AeroVolc volcanic ash sampling, and curved fiber torques in turbulence; 2024 studies on microplastic fibers and inertial particle orientation ; 2023 work on respiratory aerosols and wind instrument emissions ; and earlier research on ash aggregation , cloud droplets , and infection risk in indoor spaces . Collaborations span Michael Wilczek , Eberhard Bodenschatz , and interdisciplinary teams. His studies on human exhaled particles (2022) revealed age-dependent emission patterns, while honeybee flight dynamics (2022) demonstrated turbulence adaptation. The CloudKite platform has advanced climate modeling by reducing uncertainties in aerosol-cloud interactions . Despite no listed awards, his work has influenced policy during the pandemic and environmental pollution research .

• Fluid Dynamics
• Atmospheric Physics
• Particle-laden Flows
• +۵ مورد دیگر

Mathias Spliid Heltberg is an Assistant Professor at the Biocomplexity section of the Niels Bohr Institute, University of Copenhagen. His research focuses on nonlinear dynamics in biological systems, particularly oscillatory mechanisms in cellular processes and medical informatics applications. Current affiliation: Niels Bohr Institute, University of Copenhagen Research areas: Biocomplexity, Systems Biology, Chronobiology His recent publications span topics like p53 dynamics in DNA damage response, signal transmission in excitable media, and medical informatics applications. Collaborations include institutions in Denmark, USA, and China. The research integrates computational modeling with experimental validation in diverse biological contexts. Key contributions include theoretical frameworks for biological oscillations and practical applications in gestational diabetes intervention and surgical outcome prediction. His work on allelic buffering and potassium ion dynamics highlights cross-disciplinary approaches combining physics and biology.

• Biophysics
• Computational Biology
• Systems Biology
• +۲ مورد دیگر

Namiko Mitarai is an Associate Professor in the Biocomplexity group at the Niels Bohr Institute, University of Copenhagen, where she has been employed since 2009. She is also affiliated with CMoL (Center for Models of Life) and focuses on theoretical approaches to complex biological systems across multiple scales. University of Copenhagen, Niels Bohr Institute (2009-Present) Guest Professor, Department of Physics, Kyoto University (2022-2023) Assistant Professor, Department of Physics, Kyushu University (2007-2009) Her research interests span bacterial physiology and persistence, phage-bacteria interactions in spatial contexts, species competition and diversity, and complex systems in statistical physics. She employs theoretical methods from physics including dynamical systems, stochastic processes, and individual-based models to investigate complex living systems. Her recent publications (2023-2024) demonstrate strong focus on microbial dynamics, particularly examining phage-bacteria interactions, bacterial persistence mechanisms, and spatial organization in microbial communities. Her work bridges physics and biology through quantitative modeling approaches that reveal fundamental principles in complex biological systems. The Young Scientists' Prize from the Japanese Minister of Education (2015) Young Scientist Award of the Physical Society of Japan (2008) Jens Martin Knudsen Prize (2024) Mitarai actively contributes to the academic community through numerous invited talks and presentations, with scheduled appearances through 2025. She teaches courses including 'Dynamical Models in Molecular Biology' and 'Diffusive and Stochastic Processes,' which are recommended for students interested in conducting research in her lab.

• Biocomplexity
• Bacterial Physiology and Persistence
• Phage-Bacteria Interaction in Space
• +۴ مورد دیگر

Dr. Leonie van Steijn is an Assistant Professor at the Faculty of Science, Utrecht University , specializing in Theoretical Biology and Bioinformatics. Her research focuses on computational modeling of cell motility and navigation, particularly how cells process environmental cues to influence their movement. She contributes to teaching in the Molecular and Biophysical Life Sciences Bachelor program, emphasizing computational skills, programming, and statistical modeling. Education : PhD in Mathematical Institute, Leiden University (2016–2021). Research Interests : Van Steijn investigates the interplay between cell deformability, environmental microstructures, and motility patterns. Her work extends to modeling leukocyte migration during wound healing and genome-scale metabolic networks in zebrafish. Key methodologies include Python-based simulations and dynamic modeling of biological systems. Publications : Her recent studies explore topotaxis in dense microenvironments, adhesion dynamics in motility modes, and mathematical foundations of biological networks. These span interdisciplinary fields from immunology to theoretical mathematics. Skills : Expertise in Python programming, computational modeling, and development of biological simulation frameworks.

• Computational Biology
• Cell Motility
• Dynamic Modelling
• +۳ مورد دیگر

Madhav Marathe is a tenured Professor of Computer Science and the Distinguished Professor in Biocomplexity at the University of Virginia, where he also serves as Executive Director of the Biocomplexity Institute. He has held leadership roles at Virginia Tech and Los Alamos National Laboratory, and his work is deeply rooted in transdisciplinary team science. His research spans a wide range of domains including network science, artificial intelligence, computational epidemiology, high-performance computing, and complex systems. He develops foundational methods to model, analyze, and control large-scale biological, information, social, and technical (BIST) systems. His work integrates theoretical computer science with practical applications in public health, disaster response, and infrastructure resilience. The recent publications reflect a strong trend toward data-driven modeling of societal challenges—especially in pandemic response, forced migration, and energy systems. His team leverages agent-based simulations, machine learning, and high-performance computing to create scalable, policy-relevant models that support real-world decision-making. Fellow, American Association for the Advancement of Science (AAAS) Fellow, Association for Computing Machinery (ACM) Fellow, Institute of Electrical and Electronics Engineers (IEEE) Fellow, Society for Industrial and Applied Mathematics (SIAM) Distinguished Researcher Award, University of Virginia (2023) Honorary Doctoral Degree, Chalmers University (2023) Best Paper Award, SIGKDD 2021 (Applied Data Science) Endowed Distinguished Professor of Biocomplexity (2019) Dean’s Award for Excellence in Research, Virginia Tech (2018) Constellation Group’s Supernova Award (2016) Dr. Marathe has mentored over 30 doctoral students, 20+ MS students, and 15 postdoctoral fellows, and has led major federally funded projects including those related to computational epidemiology and national security. His lab, the Biocomplexity Institute, develops high-performance computing services and data analytics platforms for policymakers and emergency planners. He is also involved in initiatives such as the National Security Data and Policy Institute and the Expeditions in Global Pervasive Computational Epidemiology.

• Network Science
• Computational Epidemiology
• Artificial Intelligence
• +۱۵ مورد دیگر

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.

• Computational Biophysics
• Membrane Biophysics
• Molecular Dynamics Simulations
• +۵ مورد دیگر

Rutger Hermsen is an Assistant Professor in the Science Biology faculty at Utrecht University , leading the Hermsen lab under the Theoretical Biology and Bioinformatics group and the Institute for Biodynamics & Biocomplexity. His work focuses on mathematical and computational models of biological systems, particularly bacterial physiology and evolutionary biology. Email : r.hermsen@uu.nl Contact : Hugo R. Kruytgebouw, Padualaan 8, Kamer N602, 3584 CH Utrecht Research Interests span evolutionary theory, population dynamics, gene regulation, and bacterial physiology. He develops models to study eco-evolutionary interactions, such as antibiotic resistance development, and applies multiscale frameworks to analyze selection pressures in spatially structured populations. His work bridges theoretical biology with bioinformatics and computational methods. Publications highlight his expertise in analyzing spatial selection mechanisms (2024), cellular regulatory networks (2023), and evolutionary transitions (2022). These studies integrate mathematical models with experimental data to address fundamental biological questions. Supervision includes Bryan Verhoef, whose NWO-funded PhD project explores antibiotic resistance modeling, and Charlotte de Vries, a senior postdoc studying aging's role in evolutionary transitions. Collaborations extend to the Tans group at AMOLF for bacterial growth experiments. Laboratory combines computational approaches with interdisciplinary research, focusing on bacterial homeostasis, multilevel selection, and eco-evolutionary demography. The lab contributes to understanding cellular regulatory mechanisms and evolutionary processes through innovative theoretical frameworks.

• Evolutionary Biology
• Bacterial Physiology
• Mechanisms of Gene Regulation and Transcription Networks
• +۷ مورد دیگر