Find Academic Supervisors

Marina AlbertiView profile

Professor

• Urban Ecology
• Environmental Planning
• Ecosystem Dynamics
• +9 more

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.

• Fluid Dynamics
• Pattern Formation
• Biocomplexity
• +1 more

Dr. Vladimir Zykov serves as a Scientist at the Max Planck Institute for Dynamics and Self-Organization, based in the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB) in Göttingen, Germany. His research spans Fluid Dynamics, Pattern Formation, Biocomplexity, and Self-Organization, focusing on emergent phenomena in physical and biological systems. This work explores how complex structures arise from simple interactions in fluid environments and living matter, with implications for nonlinear dynamics and systems biology. As a core member of the LFPB, he contributes to the institute's mission of investigating self-organizing processes through experimental and theoretical approaches, leveraging the laboratory's specialized facilities for interdisciplinary studies in complex systems.

• Fluid Dynamics
• Atmospheric Physics
• Particle-laden Flows
• +5 more

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 .

Olga ShishkinaView profile

Professor

• Turbulence Physics
• Thermal Convection
• Fluid Dynamics
• +4 more

Olga Shishkina is a Professor and Group Leader of the "Theory of Turbulent Convection" at the Max Planck Institute for Dynamics and Self-Organization (MPI-DS), Göttingen, Germany . She holds habilitations in Fluid Mechanics (TU Ilmenau, 2009) and Mathematics (Georg August University, Göttingen, 2014). Her career includes roles as a Senior Lecturer, Researcher at DLR, and DFG Heisenberg Fellow. Research Interests: Focus on turbulent thermal convection, including natural/forced/mixed convection, coherent structures, boundary layers, and numerical simulations. Applications span oceanic circulation, nanofluid heat transfer, solar convection, and low-gravity convection. She investigates rotation effects, non-Boussinesq dynamics, and fluid property variations. Awards: APS Fluid Dynamics Fellow (2020), EUROMECH Fellow (2022) Editorial Roles: Associate Editor of the Journal of Fluid Mechanics (since 2022) Professional Affiliations: Member of the Graduate School Physics of Biological and Complex Systems (IMPRS) at Göttingen.

• Fluid Physics
• Pattern Formation
• Biocomplexity
• +3 more

Andrew Mark Jellinek is a Professor at the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB) within the Max Planck Institute for Dynamics and Self-Organization. His research focuses on interdisciplinary problems at the intersection of fluid dynamics, pattern formation, and biocomplexity.

Hossein KhodamoradiView profile

Researcher

• Fluid Dynamics
• Atmospheric Sciences
• Aerosol Physics
• +3 more

Dr. Hossein Khodamoradi is a Postdoctoral Researcher at the Max Planck Institute for Dynamics and Self-Organization, specializing in Fluid Physics and interdisciplinary domains. He earned his academic foundation in Condensed-Matter Physics at Bu-Ali Sina University in Iran, advancing his expertise in numerical simulations and experimental studies. Laboratory for Fluid Physics, Pattern Formation and Biocomplexity Research in aerosol dynamics, atmospheric science, and semiconductor crystal growth His research spans Fluid Dynamics , Thermal Stress Analysis , and Atmospheric Sciences , with a focus on computational modeling using COMSOL, OpenFoam, and Ansys. Key projects include WindArts (wind-atmosphere interactions), Crystal Growth Optimization for silicon carbide and germanium, and Aerosol Transport & Infection Risk assessments for airborne diseases. Recent publications emphasize crystal growth methodologies , thermal stress in materials , and surface force dynamics . Notable work includes refining Czochralski and Vertical Bridgman processes, analyzing coil-crucible geometries, and applying AFM to nanocomposite surface studies. He actively engages in interdisciplinary collaborations, leveraging advanced computational tools to address challenges in fluid mechanics, atmospheric research, and semiconductor manufacturing. Contact details include phone numbers (+49 551 5176-456, +49 551 5176-302) and affiliation with the Turbulence and Particles in Fluids research group.

• Fluid Dynamics
• Turbulent Convection
• Pattern Formation
• +2 more

Jiaxing Song is a Scientist at the Max Planck Institute for Dynamics and Self-Organization , affiliated with the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity . Their research focuses on theoretical aspects of turbulent convection and complex fluid dynamics. Current position: Researcher (Scientist) at Max Planck Institute Research areas: Fluid Dynamics, Turbulent Convection, Pattern Formation, Biocomplexity Contact: Office 2.133, Am Faßberg 17, 37077 Göttingen

• Fluid Dynamics
• Turbulence
• Atmospheric Physics
• +3 more

Dr. Florencia Falkinhoff serves as Group Leader of the Small-scale Dynamics in Turbulence research group and Ombudsperson at the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB) within the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany. Her academic background includes: Ph.D. in Physics from École Normale Supérieure de Lyon (France), funded by IFP Energies Nouvelles, focusing on porous media and hydrodynamics of fixed particle beds M.Sc. in Physics from University of Buenos Aires (Argentina), specializing in direct numerical simulations of particle-laden turbulent flows Her research centers on fundamental turbulence mechanisms at microscopic scales, utilizing the Göttingen Variable Density Turbulence Tunnel (VDTT) to investigate stochasticity in turbulent flows and energy dissipation dynamics. She pioneers experimental approaches to separate deterministic and random velocity field components through repeated turbulence generation (up to 30,000 iterations), advancing predictability models for technological and natural flow systems. Concurrently, she conducts atmospheric boundary layer research through instrumented balloon field experiments, analyzing Lagrangian dispersion of aerosols and gases at scales from 100 meters to 50 kilometers. The Small-scale Dynamics in Turbulence group operates within LFPB's experimental infrastructure, collaborating with Dr. Bagheri and Prof. Bodenschatz to bridge theoretical fluid dynamics with real-world atmospheric transport phenomena, addressing critical gaps in understanding extreme events at turbulent dissipation ranges.

• High Performance Computing
• Agent Based Modeling
• Analysis of Large Datasets
• +4 more

Parantapa Bhattacharya is a Research Scientist at the Network Systems Science and Advanced Computing Division of the Biocomplexity Institute and Initiative at the University of Virginia. His work focuses on developing computational tools and systems for extracting meaningful insights from complex datasets, with applications spanning public health, social networks, and artificial intelligence. Dr. Bhattacharya's research interests center around High Performance Computing, Agent Based Modeling, Analysis of Large Datasets, and Explainable AI with special emphasis on Natural Language Processing models. His work bridges the gap between theoretical computer science and practical applications in epidemiology and social systems, creating scalable frameworks that can handle real-world complexity and data volume. His publication record shows a clear trajectory from social media analysis (2013-2016) toward pandemic modeling and response (2019-2022), reflecting the growing importance of computational epidemiology. His research spans multiple disciplines including computer science, epidemiology, social network analysis, and public health, with a consistent focus on developing scalable computational frameworks. The most recent publications demonstrate significant contributions to pandemic response infrastructure, with several papers related to the PanSim framework for agent-based pandemic modeling. Notable recognitions include being a Finalist for the 2021 ACM Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research and having work published in Nature Computational Science, highlighting the impact and relevance of his research during the global pandemic. Dr. Bhattacharya has developed significant computational infrastructure, most notably PanSim - a distributed pandemic simulator that enables large-scale agent-based modeling of disease transmission. His technical expertise spans distributed systems, high-performance computing, and machine learning, allowing him to tackle complex problems at the intersection of computer science and public health.

Kerstin WiegandView profile

Professor

• Spatial ecology
• Ecological modeling
• Ecological-economic modeling
• +3 more

Prof. Kerstin Wiegand is a Professor at the University of Göttingen, affiliated with the Department of Ecosystem Modelling within the Büsgen Institute. Her research focuses on spatial ecology and biocomplexity, emphasizing methodological advancements in spatial simulation models and spatial statistics. She investigates how spatial distributions of organisms and resources inform ecological dynamics, integrating field research with computational approaches. Key themes include understanding ecosystem behavior across multiple spatial and temporal scales, disentangling local-to-global interactions in complex systems. Her work bridges ecological and economic modeling, addressing biodiversity and nature conservation challenges. Research concepts highlight the importance of multi-scale analysis to unravel emergent ecosystem patterns. No specific grants, awards, or student advisories are detailed in the provided text.

• Fluid Dynamics
• Computational Physics
• Biophysics
• +3 more

Venecia Chávez Medina is a Researcher at the Max Planck Institute for Dynamics and Self-Organization , affiliated with the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity . Her work focuses on turbulence, particle behavior in fluids, and computational modeling techniques. B.Sc. and M.Sc. in Physics and Mathematics from UMSNH, Mexico Master’s thesis on Lattice Boltzmann Method for capillary waves Research internship at the University of Edinburgh Research Interests Venecia specializes in fluid dynamics , with emphasis on turbulence and particle interactions. Her computational expertise includes reaction-diffusion equations and Lattice Boltzmann simulations , applied to physical and biological systems like brain tumor modeling and confined capillary waves.

• Fluid Physics
• Pattern Formation
• Biocomplexity

Dr. Azam Gholami serves as a Researcher at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany, affiliated with the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB). Her position contributes to the institute's interdisciplinary research on complex dynamical systems within the Department of Fluid Physics, Pattern Formation and Biocomplexity. Her research centers on Fluid Physics , examining hydrodynamic phenomena and turbulence; Pattern Formation , investigating self-organization in physical and biological systems; and Biocomplexity , analyzing emergent behaviors in living matter. These interconnected fields utilize experimental, computational, and theoretical approaches to uncover universal principles governing non-equilibrium systems. The Laboratory for Fluid Physics, Pattern Formation and Biocomplexity operates at the intersection of physics, biology, and applied mathematics, conducting cutting-edge research on instabilities, morphogenesis, and collective dynamics in fluid-based biological contexts. The lab maintains advanced experimental facilities for studying pattern evolution in active matter and soft condensed phases. Scientific Awards: No awards or honors are documented in the provided materials. Advising and Grants: Information regarding student supervision, grant funding, or collaborative projects is not specified in the available text.

• Fluid Physics
• Structure Formation
• Biocomplexity

Dr. Taraprasad Bhowmick serves as a Researcher at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany, where he investigates complex systems through the lenses of fluid physics, structure formation, and biocomplexity. His work contributes to the institute's core mission of unraveling universal principles in non-equilibrium dynamics. His research portfolio encompasses: Fluid Physics : Examining turbulence, flow instabilities, and hydrodynamic phenomena in diverse media Structure Formation : Analyzing pattern emergence and self-organization in physical systems Biocomplexity : Probing collective behavior and emergent properties in biological networks These interconnected domains advance fundamental understanding of complex dynamical systems across physical and biological scales. No scientific awards or honors were documented in available sources. Information regarding academic advising, research grants, and laboratory affiliations remains unspecified in the provided materials.

• Nonlinear Dynamics
• Pattern Formation
• Soft Matter Theory
• +4 more

Dr. Alexei Krekhov is a Senior Researcher at the Max Planck Institute for Dynamics and Self-Organization , leading the Theory Group on Pattern Formation. He holds a PhD in Theoretical Physics from Perm State University (1990) and habilitated at the University of Bayreuth (2010). His research spans nonlinear dynamics in excitable media, two-phase convection, cell motility modeling, and pattern formation in complex fluids and liquid crystals. Education: PhD, Theoretical Physics, Perm State University (1990) Habilitation, Theoretical Physics, University of Bayreuth (2010) His work involves analytical methods, numerical simulations, and collaborations with institutions in Germany, Hungary, Israel, and Russia. He has contributed to understanding flexoelectricity, electroconvection, and pattern suppression mechanisms. Recent publications focus on nonlinear dynamics in excitable media, electroconvection in nematics, and moist convection patterns. Keywords include Nonlinear Dynamics , Liquid Crystals , Pattern Formation , and Complex Fluids . Scientific Awards: Alexander von Humboldt Fellowship (1994-1996) Krekhov collaborates with institutions including the University of Bayreuth, Institute for Solid State Physics (Budapest), Ben-Gurion University, and the Institute of Molecular and Crystal Physics (Ufa). His group explores self-organization in biological systems and hydrodynamic instabilities.

• Fluid Dynamics
• Turbulence
• Biophysics
• +5 more

Eberhard Bodenschatz is a Professor of Physics at Georg-August University Göttingen and a Director/Scientific Member at the Max Planck Institute for Dynamics and Self-Organization (MPIDS). He has held leadership roles including Managing Director of MPIDS (2017–2020, 2011–2013) and Co-Director of the Max Planck University of Twente Centre on Complex Fluid Dynamics (2017–2022). His research focuses on fluid physics (turbulence, cloud microphysics), biophysics (cardiac electrophysiology, aerosol transmission), and synthetic biology (artificial cells, axonemes). Education: Diplom in Theoretical Physics (1985), PhD (1989), both from University of Bayreuth. Awards: Alfred P. Sloan Fellow (1993), Fellow of APS (2003), Stanley Corrsin Award (2014), Leopoldina Membership (2020). Leadership: Chair of Max Planck Central Software Panel, Member of Göttingen Research Council, and advisor to Kavli Institute for Theoretical Physics. Research interests span turbulence dynamics, biophysical systems (e.g., heart arrhythmias, cilia mechanics), and aerosol transmission mechanisms. Notable contributions include airborne cloud physics measurements via the Max Planck CloudKite platform and studies on sonogenetic control of cardiac rhythms. Publications highlight interdisciplinary work: turbulence dissipation in clouds, aerosol risk modeling, and synthetic axoneme design. He has organized major conferences on astrophysical turbulence and fluid dynamics of life systems.