جست‌وجوی استاد و پژوهشگر

Michal Pavelkaمشاهده پروفایل

دانشیار

• Geometric mechanics and thermodynamics (GENERIC)
• Modelling of electrochemical systems (fuel cells, batteries)
• Non-equilibrium continuum thermodynamics and hyperbolic systems
• +۱ مورد دیگر

Michal Pavelka is an Associate Professor at the Division of Mathematical Modeling, Mathematical Institute, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic. His career spans roles from Postdoc (part time) at the Institute of Chemical Technology to positions at École Polytechnique de Montréal and New Technologies Research Centre. He earned his Ph.D. in 2015 and M.Sc. in 2012 at Charles University under František Maršík. Michal Pavelka's research integrates Non-equilibrium Thermodynamics , Geometric Mechanics , and Machine Learning . His work bridges advanced mathematical frameworks like GENERIC and Extended Irreversible Thermodynamics with practical applications in electrochemical systems (fuel cells, batteries) and quantum fluids . Notably, he has contributed to Smoothed Particle Hydrodynamics and Hamiltonian mechanics in complex systems. His recent publications focus on Multiscale Thermodynamics , Superfluid Modeling , and Machine Learning in Physics . Scientific awards include the Best paper award, Entropy (2021) and Czech Grant Agency President's award (2020). He has secured significant grants, including a €363k Czech Grant Agency award (2023–2025) for geometric multiscale thermodynamics of complex fluids. Scientific Awards: Best paper award, Entropy (2021) Czech Grant Agency President's award (2020) High quality monographs of Charles University competition (1st-3rd place, 2020) Current Projects: He leads research on geometric multiscale thermodynamics and co-supervises projects on zinc-air batteries and solid oxide fuel cells. His lab develops the SmoothedParticles.jl Julia package for fluid dynamics simulations.

Stefan Petrov Ivanovمشاهده پروفایل

استاد

• Differential Geometry
• Quaternionic Geometry
• String Theory
• +۴ مورد دیگر

Stefan Petrov Ivanov is a Professor of Mathematics at the Department of Geometry, Faculty of Mathematics and Informatics, University of Sofia 'St. Kliment Ohridski'. He holds a Dr.Sci. (Doctor of Mathematical Sciences) from the same institution (2006) and has been a faculty member since 1988. His academic career includes significant collaborations through the European Differential Geometry Endeavour (EDGE) network and multiple visiting professorships at institutions including Humboldt University, University of Pennsylvania, and ICTP Trieste. Dr.Sci. (2006), University of Sofia Ph.D. (1987), University of Sofia (Thesis: Linear connections on a smooth manifold with structures) M.S. (1982) and B.S. (1980), University of Sofia Ivanov's research spans differential geometry with emphasis on quaternionic geometry, CR structures, and applications to string theory. His work on the quaternionic contact Yamabe problem represents a major contribution to geometric analysis. He has developed novel connections between exceptional holonomy manifolds, Dirac operators, and heterotic string compactifications, particularly focusing on non-Kähler solutions with fluxes and non-constant dilaton fields. His research integrates deep geometric insights with mathematical physics applications, especially in supersymmetric string backgrounds. Professor Ivanov has supervised 14 Master's dissertations and 5 Ph.D. theses, including prominent students like Bogdan Alexandrov and Ivan Minchev. His research has been supported by major grants including the EU EDGE network, NSF Bulgaria contracts (DO 02-257/2008, DID 02-39/2009), and collaborations with US institutions like the University of Pennsylvania and University of New Mexico. He serves as editor for Annals of Global Analysis and Geometry and has organized significant conferences including the Black Sea EDGE-Workshop (2003) and Geometric Structures in Mathematical Physics (2011).

Bharat Ratraمشاهده پروفایل

استاد

• Cosmology
• Astroparticle Physics
• Dark Energy
• +۵ مورد دیگر

Bharat Ratra is a Professor at the Department of Physics , Kansas State University , focusing on Cosmology and Astroparticle Physics . He develops theoretical models of the universe's large-scale structure and tests them using observational data, particularly from cosmic microwave background radiation (CMBR) anisotropy, dark energy dynamics, and large-scale matter distribution . His work frequently involves collaborations with the Kansas State University High Energy Physics Group , University of Kansas Cosmology Group , and use of computational resources at the Kansas State University Center for Scientific Supercomputing . Ratra's research has been supported by the National Science Foundation , and he has made significant contributions to understanding the time-variable cosmological constant , inflationary models , and dark energy through over 50 publications. His 15 most recent selected publications focus on constraining cosmological parameters using supernova data, CMBR anisotropy experiments (COBE, MAX, ARGO, White Dish), and large-scale structure observations, with a particular emphasis on Hubble constant determination, spatial curvature analysis, and dark energy dynamics . Among his research advisees is Silviu Podariu , and he has collaborated with postdoctoral associates such as Dr. Pia Mukherjee , Dr. Tarun Souradeep , and Dr. Graca Rocha (now at University of Oxford). Ratra's work bridges theoretical cosmology with observational data to refine our understanding of the universe's geometry and evolution.

Brian Streetمشاهده پروفایل

استاد

• Mathematics
• Partial Differential Equations
• Singular Integrals
• +۷ مورد دیگر

Brian Street is a Professor in the Department of Mathematics at the University of Wisconsin-Madison . He specializes in partial differential equations, harmonic analysis, and geometric analysis, with a focus on subelliptic and multi-parameter singular integral theories. His work extends classical results like the Newlander-Nirenberg theorem and Frobenius theorem to quantitative and boundary settings. Research Highlights: Development of maximal subellipticity theory (2023), generalization of Calderón-Zygmund singular integrals to multi-parameter settings (2011–2013), and novel approaches to hypoelliptic and mixing flow problems. Publications: Authored a monograph on Multi-parameter Singular Integrals (Princeton University Press, 2012) and co-authored influential papers with leading mathematicians in functional analysis and PDEs. Methodologies: Employed techniques from ODEs, PDEs, and harmonic analysis, including wave equation propagation, non-isotropic Sobolev spaces, and diffeomorphism-invariant frameworks.

• Theoretical Physics
• Relativity
• Gravitation
• +۸ مورد دیگر

Professor Malcolm John Perry is affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge , where he has held the position of Professor of Theoretical Physics since 2007. His work is centered in the Relativity and Gravitation research group within the Faculty of Mathematics . Email: mjp1@cam.ac.uk Location: Room B1.26, Centre for Mathematical Sciences Research Group: High Energy Physics, Relativity & Gravitation Perry’s research spans key areas of theoretical physics, including quantum gravity , black hole thermodynamics , supersymmetry , and string theory . His work on soft hair and supertranslation charges has advanced understanding of black hole entropy and the information paradox. Recent publications explore Chern-Simons theory on black hole horizons and dual gravitational charges . His publications (2012–2025) reveal a focus on quantum aspects of gravity , cosmological models , and mathematical structures in high-energy physics. Collaborations with prominent physicists like Stephen Hawking and Andrew Strominger highlight his role in foundational studies of gravitational theories and quantum field theory. Perry is part of the DAMTP group that operates the COSMOS supercomputer , a critical resource for theoretical cosmology and gravitational wave research. His work intersects with the Stephen Hawking Centre for Theoretical Cosmology (CTC) , supporting conferences and collaborative research in cosmology and black holes.

Alexander Thomasمشاهده پروفایل

استاد

• Laser-Plasma Interactions
• Particle Acceleration
• High-Intensity Laser Physics
• +۵ مورد دیگر

Dr. Alexander Thomas is a Professor in Nuclear Engineering and Radiological Sciences at the University of Michigan’s College of Engineering, and a cross-appointed Professor in Applied Physics at the College of Literature, Science and the Arts. His research at the Center for Ultrafast Optical Science (CUOS) focuses on computational and experimental laser-plasma interaction physics, particularly laser wakefield acceleration of electrons for compact particle accelerators. His work investigates high-intensity laser-plasma interactions (up to 10 22 W/cm²) to study relativistic electron dynamics, radiation generation, and quantum effects. He develops advanced computational models like the FARSIGHT Vlasov-Poisson code for non-equilibrium plasma physics, relevant to inertial confinement fusion and fast ignition scenarios. Current projects include optimizing laser-driven proton beams, characterizing photon-photon scattering, and advancing the ZEUS laser facility. Key trends in his recent publications include high-intensity laser wakefield acceleration, plasma-based photon acceleration to extreme ultraviolet, magnetic field generation in laser-solid interactions, and quantum electrodynamics (QED) studies. His research leverages facilities like the Hercules 300 TW laser and ZEUS, with applications in radiography, astrophysics, and radiation reaction studies.

• Interactive Global Illumination
• Perceptual Graphics
• Non-physical Graphics
• +۱ مورد دیگر

Tobias Ritschel is a Professor of Computer Graphics at University College London . His research spans advanced rendering techniques, perceptual modeling, and data-driven graphics, with a focus on bridging physical accuracy and artistic flexibility in visual computing. Key research themes include: Interactive Global Illumination : Real-time simulation of complex lighting effects on GPUs Perceptual Graphics : Human vision-driven rendering and display optimization Non-physical Graphics : Beyond-photorealistic techniques for artistic expression Data-driven Graphics : Leveraging large datasets for novel rendering and modeling approaches His recent work emphasizes neural rendering , differentiable graphics , and X-ray tomography , with applications in 3D reconstruction , NeRF manipulation , and holographic imaging . Notable scientific achievements include the Eurographics Young Researcher Award 2014 and Eurographics Thesis Award 2011 . He has advised multiple PhD students including Philipp Henzler (EG PhD Award 2024) and Thomas Leimkühler (Otto Hahn Medal 2019), while actively contributing to conference leadership as co-chair for EGSR 2024 and Pacific Graphics 2024 . His team collaborates on X-ray reconstruction with Pablo Villanueva-Perez and works on 3D perception with Anthony Steed.

Jim Andersonمشاهده پروفایل

استاد

• Hyperbolic Geometry
• Kleinian Groups
• Riemann Surfaces
• +۶ مورد دیگر

Professor Jim Anderson, BA (University of Georgia), PhD (Stony Brook University), is a Professor of Mathematics at the University of Southampton within the School of Mathematical Sciences. His research focuses on hyperbolic geometry, Kleinian groups, and automorphism groups on Riemann surfaces, with ongoing projects examining Schottky groups and skeletal signatures. BA in Mathematics, University of Georgia, 1986 PhD in Mathematics, Stony Brook University, 1991 Jim’s research spans hyperbolic geometry and geometric group theory, particularly investigating Kleinian groups, their limit set intersections, and automorphism groups on surfaces. His work bridges classical geometric problems with modern applications in topology and network theory. His publications highlight trends in hyperbolic 3-space dynamics, skeletal signature classification, and geometric theorems adapted to non-Euclidean contexts. These contributions intersect with moduli space analysis and topological optimization. Principal Fellow of the Higher Education Academy (PFHEA) Jim supervises PhD students like Luke Waite and has secured EPSRC funding for projects on mapping class groups and subgroup counting. He developed the Hyperbolic Geometry module and currently teaches MATH3033 Graph Theory.

• Architecture
• Urban and regional planning
• Design
• +۵ مورد دیگر

Professor Alan Penn is a leading academic at University College London's The Bartlett School of Architecture , where he holds the title of Professor in Architectural and Urban Computing. He previously served as Dean of the Bartlett Faculty of the Built Environment from 2009 to 2019 and has been instrumental in establishing Space Syntax Ltd , a UCL knowledge transfer spin-out company. His affiliations include membership in the Space Syntax Laboratory, board membership of UCL Consultants Ltd, and trustee status at Shakespeare North Trust. Education: BSc (1978), Dip Arch (1980), MSc (1983) - all from University College London Alan Penn’s research investigates how spatial design influences social and economic behaviors through innovative space syntax methodologies . Key areas include: Agent-based simulations of human behavior Spatio-temporal representations of built environments Urban spatial network analysis Urban sustainability across multiple dimensions Cognitive markers in architectural design Historical urban growth modeling His recent publications demonstrate a strong focus on computational urbanism, evolutionary city patterns, and behavioral architecture. Research trends show interdisciplinary approaches combining architectural theory with: Machine learning applications Network science analysis Behavioral psychology insights Historical GIS techniques Complex systems modeling Public health considerations Scientific recognition includes: HEFCE Business Fellowship (2001-2005) KTP SE Region Award (2010) Multiple UCL Enterprise awards ‘Spirit of Enterprise’ Award (2008) As Principal Investigator he leads the £5m EPSRC-funded Urban Dynamics Lab , demonstrating sustained research excellence. His work extends to public engagement through: Shakespeare North Trust educational theatre development Media appearances (New Scientist, Slashdot) Public policy contributions

• Coastal Engineering
• Numerical Modeling
• Nature-Based Solutions
• +۴ مورد دیگر

Tomohiro Suzuki is an Associate Professor at KU Leuven and Ghent University (UGent) , affiliated with the Department of Civil Engineering under the Faculty of Engineering Science (KU Leuven) and Faculty of Engineering and Architecture (UGent) . With 25 years of expertise in coastal engineering, he specializes in wave overtopping , wave-structure interactions , and Nature-Based Solutions for coastal management. Key research areas: Numerical Modeling (DualSPHysics, SWASH), Wave-Current-Vegetation Interaction , Coastal Flood Resilience Teaching roles: Project Hydraulic Engineering 3 , Hydraulic Structures , Hydrodynamics His recent projects include: INTEGRATOR (2024–2026): Integrated coastal hydrodynamics modeling Numerical Coastal Basin (2021–2025): Virtual testing for floating structures Wind Generation System (2025–2028): Fan Array Wind Tunnel for Coastal & Ocean Basin Publications focus on 3D wave-vegetation dynamics , SPH-based coastal simulations , and shallow foreshore resilience against extreme waves. No scientific awards are explicitly mentioned.

• Design Computing
• Spatial Modeling
• Machine Learning
• +۷ مورد دیگر

Sean Hanna is a Professor of Design Computing at The Bartlett School of Architecture , University College London , and a member of the UCL Space Syntax Laboratory . His interdisciplinary work bridges architecture, computational modeling, and machine learning.

• Architecture
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Martha Tsigkari serves as an Associate Professor at The Bartlett School of Architecture, University College London (UCL), where she bridges architectural practice with cutting-edge computational research. Her position situates her at the forefront of digital transformation in the built environment, with institutional affiliations spanning UCL's Faculty of the Built Environment and direct contributions to UN Sustainable Development Goals 4 (Quality Education), 11 (Sustainable Cities), and 13 (Climate Action). Her research program critically examines the integration of artificial intelligence, machine learning, and cognitive psychology into architectural design processes. Key investigations include spatial and visual connectivity analysis, XR-enhanced collaborative design environments, and AI-driven optimization of building performance. She explores how digital tools reshape creativity, professional identity, and sustainability outcomes in architecture, with particular focus on data commoditization, skills evolution, and human-AI collaboration in design workflows. Her interdisciplinary approach connects architectural theory with computational neuroscience and industrial digitalization trends. Tsigkari's publication trajectory reveals a clear evolution from computational structural analysis (2012-2017) toward AI ethics and professional transformation (2022-2024). Early work established foundations in performance-driven facades and material systems, while recent output confronts existential questions about architectural practice in the AI era. Her scholarship consistently addresses the tension between technological capability and human-centered design values, with growing emphasis on sustainable development frameworks and educational implications. Scientific Awards: No major awards are documented in the available records. Advising and Grants: While specific supervisees and funding mechanisms aren't detailed in current sources, her extensive collaborative network across 30+ publications indicates active mentorship and research leadership. Co-authorship patterns suggest involvement in multi-institutional projects addressing AECO industry digitalization, with potential ties to UK research councils and industry partnerships like RIBA. Labs and Teams: Tsigkari operates within The Bartlett's digital research ecosystem through recurring collaborations with Kosicki, Tarabishy, and Psarras. Her work manifests in experimental toolsets including Glaucon (XR design environment), HYDRA (optimization framework), and SandBOX (conceptual design system), indicating leadership in UCL's computational design labs focused on human-AI interaction and sustainable building technologies.

• Spatial Modeling
• Temporal Modeling
• Semantic Modeling
• +۷ مورد دیگر

Prof. Thomas H. Kolbe serves as Chair of Geoinformatics at the Technical University of Munich (TUM), where he leads research in spatial, temporal, and semantic modeling of urban environments. His work focuses on developing foundational frameworks for 3D/4D city models, digital twins, and smart city applications through international standardization efforts including CityGML and IndoorGML. His research spans virtual city modeling, urban system simulation, and GIS integration with emerging technologies. Current projects emphasize AI-driven urban scenario generation, semantic streetspace modeling, and IoT integration in digital twin ecosystems. Recent publications demonstrate strong interdisciplinary connections between computer vision, urban planning, and geospatial data science, with particular emphasis on practical implementations of 3D city models for sustainability challenges. Prof. Kolbe actively contributes to professional organizations including the Round Table GIS eV (as Chairman since 2013) and the Munich Data Science Institute (as core member since 2021). His leadership extends to the Leonhard Obermeyer Center for digital methods in the built environment and the Hans Eisenmann Forum for agricultural sciences. His work bridges theoretical geoinformatics with practical urban applications through numerous collaborative projects with municipal governments and industry partners.

Shing-Tung Yauمشاهده پروفایل

استاد

• Differential Geometry
• Mathematical Physics
• General Relativity
• +۳ مورد دیگر

Shing-Tung Yau is a distinguished mathematician and professor associated with the Shing-Tung Yau Center at Southeast University's School of Physics, reflecting his profound influence in mathematical physics. His career spans premier institutions including Harvard University (emeritus) and Tsinghua University, where he holds active positions. Yau's research centers on differential geometry , mathematical physics , and geometric analysis , with transformative work on Calabi-Yau manifolds underpinning string theory. His investigations into Einstein's equations, black hole thermodynamics, and geometric flows bridge pure mathematics and theoretical physics, driving advancements in quantum gravity and mirror symmetry. His publications reveal consistent focus on geometric structures in theoretical physics, particularly Calabi-Yau applications in string compactification and geometric flows for singularity analysis. Recent works emphasize Kähler-Einstein metrics and stability in algebraic geometry. Scientific accolades include: Fields Medal (1982) for contributions to partial differential equations and Calabi conjecture Wolf Prize (2010) for geometric analysis breakthroughs MacArthur Fellowship (1985) and Crafoord Prize (1994) National Medal of Science (1997) for unifying geometry and physics Yau has mentored over 50 doctoral students, including Gang Tian and Huai-Dong Cao, shaping modern geometric analysis. He leads collaborative initiatives like the Harvard-Yau Center and Tsinghua's Mathematical Sciences Center, fostering cross-disciplinary research in geometric methods for quantum gravity. Current efforts focus on geometric foundations of quantum information and gravitational wave mathematics.

• Distributed computing
• Real-time computing
• Algorithms and lower bounds
• +۳ مورد دیگر

Nancy A. Lynch is the NEC Professor of Software Science and Engineering and Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, where she heads the Theory of Distributed Systems (TDS) group within CSAIL. Research Interests Distributed computing algorithms and lower bounds Real-time and fault-tolerant systems Formal modelling and verification Wireless network algorithms Biological distributed algorithms Neural computation and spiking networks Across her work, Lynch blends rigorous theoretical analysis with practical relevance, tackling problems ranging from consensus and leader election in unreliable networks to modelling decision-making circuits in the brain. Publications & Trends Since 2020 she has published extensively on distributed algorithms , swarm robotics , neuromorphic architectures , and biologically-inspired computation . Notable recent directions include hierarchical concept learning in spiking neural networks, nanobot locomotion modelling for cancer detection, and superconducting nanowire platforms for energy-efficient neural hardware. Scientific Awards & Honors Best Paper Award, OPODIS 2018 Best Paper Award, IEEE NCA 2014 Highlight Paper, Neuromorphic Computing and Engineering 2022 Teaching & Advising Lynch teaches core graduate and undergraduate subjects at MIT including 6.042J Mathematics for Computer Science , 6.852J/18.437 Distributed Algorithms , and 6.885/6.006 Algorithms . She has supervised dozens of PhD students and post-docs whose names are listed on her Past Students page. Laboratory & Teams She leads the Theory of Distributed Systems (TDS) Group , a vibrant research team within MIT CSAIL . TDS is part of the larger Theory of Computation group and hosts weekly seminars, reading groups, and collaborative projects with partners across MIT and worldwide.