جست‌وجوی استاد و پژوهشگر

Ryan Glasbyمشاهده پروفایل

استاد مدعو

• Computational Engineering
• Computational Fluid Dynamics (CFD)
• Hypersonic Flows
• +۳ مورد دیگر

Ryan Glasby is a Joint Faculty member at the University of Tennessee and Oak Ridge National Laboratory (ORNL), specializing in computational engineering and high-fidelity fluid dynamics simulations. His research focuses on multiphysics modeling, hypersonic flows, shock wave interactions, and advanced numerical methods for CFD. He leads development efforts for solvers like VERTEX-CFD and Spinnaker , which are designed for high-performance computing platforms. His work spans experimental validation through techniques like acetone molecular tagging velocimetry and computational innovations in finite-element methods. Glasby collaborates closely with U.S. Department of Defense initiatives, contributing to projects such as HPCMP CREATE-AV Kestrel. Key areas include turbulence modeling, thermal nonequilibrium processes, and optimization of firearm suppression systems through fluid dynamics principles. Notable contributions include advancements in artificial compressibility methods for heat transfer simulations and strategic improvements to parallel processing algorithms for large-scale simulations. His research bridges fundamental fluid dynamics with practical applications in aerospace engineering and defense technologies.

Aziz Zanjaniمشاهده پروفایل

پژوهشگر

• Seismology
• Geophysics
• Induced Seismicity
• +۳ مورد دیگر

Aziz Zanjani is a Postdoctoral Researcher at the Roy M. Huffington Department of Earth Sciences, Southern Methodist University. His research focuses on induced seismicity, seismotectonics, and crustal structure analysis using advanced geophysical techniques. Key areas include spatiotemporal evolution of earthquakes in the Delaware Basin, machine learning applications for seismic event detection, and tomographic imaging of continental rifts. Research interests emphasize induced seismicity linked to oil/gas activities, subduction zone dynamics, and crustal deformation processes. Methodologies include P-wave tomography, surface-wave analysis, and relocation algorithms to improve earthquake catalog accuracy. He has conducted studies in regions like the Wabash Valley Seismic Zone, Puerto Rico subduction zone, and Iran's North Tehran Fault. Recent work highlights use of machine learning for seismic event detection in Texas/Oklahoma oil fields and integration of dense seismic array data to resolve complex fault geometries. His portfolio reflects interdisciplinary approaches bridging geophysics, tectonics, and computational methods. No scientific awards or formal advising roles are explicitly noted in current records. Ongoing projects likely involve real-time seismic monitoring and improved hazard assessment frameworks.

Rebecca Beekenمشاهده پروفایل

دانشیار

• Behavioral Science
• Cancer Prevention and Control
• Health Behaviors
• +۵ مورد دیگر

Dr. Rebecca Beeken is an Associate Professor of Behavioural Medicine at the University of Leeds, supported by a Yorkshire Cancer Research Fellowship. She specializes in behavioral science and health psychology, with a focus on cancer prevention and control through behavior change interventions. Her academic background includes a PhD from the University of Sheffield and postdoctoral work at University College London (UCL) under Professor Jane Wardle. She has led multiple projects, including the ASCOT trial (testing habit-based interventions for cancer survivors) and the We Sure Can trial (dietary interventions for breast cancer patients). She also co-leads studies exploring lung cancer screening and lifestyle interventions in screening programs. Becca holds honorary roles at UCL and is actively involved in professional bodies like the UK Society for Behavioural Medicine and the International Society for Behavioural Nutrition and Physical Activity. She supervises postgraduate researchers and teaches on the MBChB program, emphasizing health behaviors and behavior change. Her research spans physical activity, weight management, and teachable moments in healthcare settings, with a focus on improving outcomes for cancer survivors and those with severe mental health conditions. Education: PhD in Psychology, University of Sheffield (ESRC-funded) MSc in Psychological Research Methods BA in Psychology & Sociology Research Interests: Development of complex interventions for cancer survivors Weight management in obesity-related cancers Role of 'teachable moments' in healthcare Physical activity interventions for severe mental illness Key Projects (2024-2025): APPROACH trial (digital physical activity intervention) YESS Study (smoking cessation in lung cancer screening) HALT trial (exercise for stoma-related hernias) Awards & Memberships: Yorkshire Cancer Research Fellowship Australian Endeavour Award NIHR Nutrition & Cancer Collaborative Lab/Teams: Leeds Unit of Complex Intervention Development (LUCID), Breast Cancer Research Group.

Paulo Parenteمشاهده پروفایل

استاد

• Econometrics
• Time Series Analysis
• Quantile Regression
• +۳ مورد دیگر

Paulo Parente is a Professor at the Instituto Superior de Economia e Gestão (ISEG), part of the Universidade de Lisboa. He holds a PhD in Economics from the University of Warwick (2007), a Master's in Economics from Nova School of Business and Economics (2002), and a Bachelor's in Mathematics Applied to Economics from the Higher Institute of Economics in Lisbon (1998). He currently serves as President of ISEG, overseeing its academic and administrative leadership. His research focuses on advanced econometric methodologies, including time series analysis, quantile regression, bootstrap techniques, and empirical likelihood methods. His work has been published in top journals such as Journal of Econometrics , Econometric Theory , and Journal of Time Series Analysis . Parente teaches courses such as Econometrics, Quantitative Methods, and Advanced Econometric Topics at both undergraduate and graduate levels. He has supervised numerous Master’s theses, advising students on topics ranging from labor market dynamics to energy market forecasting and insurance industry analysis. He is actively involved in ISEG's research initiatives, contributing to labs like the Data Lab, Futures Lab, and Policy Lab, which address contemporary economic challenges through interdisciplinary approaches.

Vedran Lekićمشاهده پروفایل

استاد

• Seismology
• Planetary Science
• Geophysics
• +۳ مورد دیگر

Vedran Lekić is a Professor and Director of Graduate Studies in the Department of Geology at the University of Maryland. His research focuses on seismic imaging of Earth and planetary interiors, with particular emphasis on mantle dynamics, tectonics, and Mars exploration. Education: Ph.D. in Geology, University of California, Berkeley, 2009 Research Interests: Dr. Lekić develops advanced seismological techniques to study Earth’s mantle and planetary structures. His work integrates seismic data with computational models to explore topics like crustal thickness, mantle convection, and the relationship between deep Earth processes and surface tectonics. Recent efforts emphasize Mars seismic studies via NASA’s InSight mission, probing the Red Planet’s core-mantle boundary and crustal dynamics. Recent Research Trends: His 2023–2025 publications highlight breakthroughs in Martian seismic analyses, including core-mantle boundary insights, crustal thickness mapping, and mission concepts for lunar exploration. Techniques such as Bayesian inversion and compressive sensing advance planetary subsurface imaging. Labs/Teams: He leads the Seismology Laboratory , advancing planetary seismology and computational geophysics.

• Radiation Detector Physics
• Particle Physics
• Nuclear Physics
• +۳ مورد دیگر

Hans Roeland Poolman is a Lecturer at the Faculty of Social Sciences and Humanities of Vrije Universiteit Amsterdam . His research focuses on radiation detector physics, particle physics, and nuclear physics with applications in medical imaging. He has contributed to advancements in timepix technology, spin-dependent scattering studies, and polarized gas target performance in storage rings. Research Interests: - Radiation Detection Technologies - Nuclear Reaction Dynamics - Electron Scattering Experiments - Medical Imaging Applications via Hyperpolarized 3He Recent publications highlight innovations in detector instrumentation and fundamental studies of subatomic particles. His work bridges experimental physics with practical applications in medical and industrial contexts. Lectures and Activities : Delivered presentations on hyperpolarized 3He in 2000, focusing on MRI applications and physics advancements.

Peter Sebastian Eppingerمشاهده پروفایل

پژوهشگر

• International Economics
• International Trade
• Foreign Direct Investment
• +۹ مورد دیگر

Peter Sebastian Eppinger is a Postdoctoral Researcher in Economics at the University of Tübingen, School of Economics and Business, and a CESifo Research Network Affiliate. He is also a Research Fellow at the Institute for Applied Economic Research (IAW) in Tübingen. His research spans international trade, multinational firms, global value chains, and their intersections with financial, labor, and organizational economics. He earned his PhD in Economics (summa cum laude) from the University of Tübingen in 2018, an MSc from LMU Munich, and a BSc from the University of Tübingen. He has held research positions continuously since 2012 and is actively involved in teaching, supervision, and academic service. His research focuses on how globalization, FDI, offshoring, and financial integration impact firm behavior and economic outcomes. He uses empirical methods and firm-level data to analyze crises, institutional effects, and network structures in global trade. His work has been published in leading journals such as Review of Economics and Statistics , Journal of International Economics , and European Economic Review . The recent publications highlight a consistent trend in analyzing global economic networks, the resilience of supply chains during shocks (e.g., financial crisis, pandemics), and the role of ownership and institutions in shaping firm integration and performance. His work often involves collaboration with leading scholars and leverages detailed microdata from Germany and other countries. Roman Herzog Forschungspreis Soziale Marktwirtschaft (First Prize, 2019) RWT Dissertation Award (2019) Add-on Fellowship, Joachim Herz Stiftung (2018–2021) Best Paper Award, Tübingen Hohenheim Economics Workshop (2015) Dr. Eppinger has supervised 17 Master’s theses and taught courses including Global Production and Sourcing, European Economic Integration, and Advanced Microeconomics. He is a referee for top economics journals and co-organizes the annual Global Economic Networks (GEN) Workshop , which brings together scholars on trade and network economics. He has received research funding from the German Ministry of Economic Affairs and the European Union (ERC). He is actively engaged in research projects on multinational firm networks, trade models, offshoring, and digitalization’s impact on labor markets. His current work continues to explore the structural dynamics of global production and trade, with a strong empirical and policy-relevant orientation.

Álvaro Corralمشاهده پروفایل

پژوهشگر

• Complex Systems
• Statistical Physics
• Natural Hazards
• +۹ مورد دیگر

Álvaro Corral is a researcher at the Centre de Recerca Matemàtica (CRM) in Barcelona, where he leads the Complex-Systems Group. He is associated with the Mathematics Department of the Universitat Autònoma de Barcelona and is a member of the Barcelona Graduate School of Mathematics and the network complexitat.cat. His research lies at the intersection of statistical physics, geophysics, and data science, focusing on complex systems such as natural hazards (earthquakes, hurricanes, geomagnetic storms) and human-generated systems (language, music). He specializes in power laws, scaling laws, Zipf’s law, and finite-size effects , applying rigorous statistical methods to model and predict extreme events. The analysis of his recent publications reveals a strong interdisciplinary trend, combining physics-based modeling with data analytics in domains ranging from urban population clustering to classical music harmony. His work often bridges theoretical frameworks with real-world datasets, emphasizing the universality of scaling phenomena across diverse systems. Scientific Awards and Recognitions: Ramon y Cajal Fellow Lorenz Lecturer, 2011 American Geophysical Union Fall Meeting Álvaro is deeply committed to the training of young researchers, having organized multiple summer schools. Although no formal advisees are listed, his leadership of a research group and active publication record indicate significant mentorship and collaborative grant activities. His research has been supported through various institutional and national funding mechanisms, enabling high-impact publications across physics, geoscience, and data science journals. He leads the Complex-Systems Group at CRM, fostering interdisciplinary collaborations on topics such as urban sustainability, extreme-event modeling, and the statistical structure of human culture.

Mehmet Bektaşoğluمشاهده پروفایل

استاد

• Nuclear Physics
• High Energy Physics
• Particle Physics
• +۳ مورد دیگر

Prof. Dr. Mehmet Bektaşoğlu is a Professor at the Department of Physics, Faculty of Science, Sakarya University. He specializes in Nuclear Physics , High Energy Physics , and Radiation Shielding . His research focuses on cosmic ray muons, GEANT4 simulations, and particle physics experiments via the CLAS Collaboration. Education: PhD in Physics (Old Dominion University, 2002) Administrative Roles: Board Member (Faculty of Arts and Sciences, 2014-2017) Research Interests include radiation shielding materials, cosmic muon angular distributions, and nuclear structure via electron scattering. His article trends show expertise in GEANT4-based Monte Carlo simulations for cosmic ray studies Shielding properties of bismuth/silica glasses CLAS Collaboration experiments on nucleon resonances Doctoral Students: Halil Arslan (2015): Cosmic Muons in Atmosphere/Underground Master’s Students: Sevda Kızılkaya (2019): Uranium/Thorium in Sakarya Soil Tugba Şasmaz (2010): Cosmic Ray Energy Spectrum Melike Kunduracı (2010): Muon Angular Distribution Editorial Roles include serving as Section Editor for Advances in High Energy Physics and Acta Geophysica .

Anja K. Arendمشاهده پروفایل

پژوهشگر

• Dance Theory
• Dance History
• Contemporary Dance
• +۷ مورد دیگر

Dr. Anja K. Arend is a researcher and academic at the Institute of Contemporary Dance, Faculty 3 of Folkwang University of the Arts, where she is responsible for dance theory, dance history, and the Folkwang Dance Archive. She holds a PhD in dance studies from Paris Lodron University Salzburg and has contributed significantly to interdisciplinary research in performance, migration, and archival practices. PhD in Dance Studies, Paris Lodron University Salzburg Studies in Musicology, History, and Theology Participation in Nordic Master of Dance Studies (Tampere & Copenhagen) Her research focuses on contemporary and historical aspects of dance, particularly transatlantic dance practices, migration in dance, sound and movement, and the challenges of documenting performance. She explores interdisciplinary intersections between dance, cultural theory, and media. Her work emphasizes praxeological and archival methodologies in understanding dance as lived, embodied practice. The recent publications reflect a strong engagement with performance documentation, digital dissemination of dance, multicultural choreography, and pedagogical approaches in art exhibitions. Themes such as hybridity, transnationalism, sensory perception, and archival subjectivity recur across her scholarly output, indicating a cohesive research trajectory centered on the epistemology of dance. Dr. Arend is also actively involved in academic outreach and public scholarship, serving as an editor and contributor to tanznetz.de since 2015. She plays a vital institutional role as the Faculty Equal Opportunity Representative for Faculty 3, promoting equity and inclusion within the university. Her contributions span research, teaching, archiving, and advocacy. She has been involved in significant curatorial projects, including the ZKM Karlsruhe exhibition "Moments. Eine Geschichte der Performance in 10 Akten," where she contributed both intellectually and reflectively as a participant-observer. Her work bridges academic research with practical engagement in museums and digital platforms.

Piotr Słobodzianمشاهده پروفایل

پژوهشگر

• Electromagnetic Compatibility
• Microwave Engineering
• Antenna Design
• +۵ مورد دیگر

Piotr Słobodzian is a senior researcher at the Wrocław University of Science and Technology, affiliated with the Faculty of Information and Communication Technology and the Department of Telecommunications and Teleinformatics. With expertise in microwave engineering and computational electromagnetics, his work focuses on antenna design, electromagnetic compatibility, and high-frequency signal processing. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Department of Telecommunications and Teleinformatics Research Interests Słobodzian's research centers on microwave engineering, electromagnetic compatibility, and computational methods. He has developed novel techniques for antenna array synthesis, shielding analysis using SIE-MoM-DD methods, and analytical formulas for electromagnetic integrals. His work also explores the interaction of high-power microwave (HPM) pulses with critical infrastructure and microfluidic systems for nanoparticle synthesis. Publications Overview His recent publications (2022–2025) highlight advancements in: Flat-top beam radiation pattern synthesis for antenna arrays EM susceptibility modeling of shielded systems Weakly singular integral calculations for electromagnetic simulations HPM pulse characterization and mitigation strategies Microwave reactor design for nanotechnology applications Contact Information Email: piotr.slobodzian@pwr.edu.pl Office: Room 808, Building C-5, Wrocław University of Science and Technology Office Hours: Monday 7:30–9:30, Friday 7:30–9:30

Olga Mulaمشاهده پروفایل

دانشیار

• Numerical Analysis of PDEs
• Model Reduction
• Inverse Problems
• +۳ مورد دیگر

Olga Mula is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), where she leads the Data-Driven Computational Science group within the Center for Analysis, Scientific Computing and Applications (CASA). She joined TU/e in February 2022 after serving six years as an Associate Professor at Paris Dauphine University. Dr. Mula holds a double master's degree from École Polytechnique (France) and Universidad Politécnica de Madrid (Spain), and earned her PhD in Applied Mathematics from Sorbonne University in 2014. Her research integrates computational mathematics with emerging data science paradigms, focusing on: Numerical analysis of partial differential equations Model reduction techniques for complex systems Inverse problem methodologies Optimal transport theory Interdisciplinary connections between machine learning and PDEs Her recent publications demonstrate strong cross-disciplinary applications spanning mechanical engineering (elastoplastic deformation modeling, 3D printing optimization), environmental science (urban air pollution estimation), and fundamental mathematics (optimal transport, neural ODEs). This work consistently combines advanced computational frameworks with data-driven approaches. As a member of the Eindhoven Young Academy of Engineering (EYAE), she contributes to sustainable development initiatives. She teaches courses including Mathematics of Neural Networks, Continuous Optimization, and Numerical Analysis.

Yulia Alexandrمشاهده پروفایل

استادیار مدعو

• Algebraic Statistics
• Applied Algebraic Geometry
• Mathematical Machine Learning
• +۳ مورد دیگر

Dr. Yulia Alexandr is a Hedrick Assistant Adjunct Professor at UCLA and a Postdoctoral Fellow in Applied Mathematics at Harvard University . She completed her PhD in Mathematics at UC Berkeley in 2023 under the supervision of Bernd Sturmfels and Serkan Hoşten , with a thesis titled "From Voronoi Cells to Algebraic Statistics" . She holds a Bachelor's degree in Mathematics from Wesleyan University (2019), where she was advised by Karen Collins .

Ezio Bartocciمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Formal Methods
• Runtime Verification
• +۵ مورد دیگر

Univ. Prof. Dr. Ezio Bartocci is a Professor at TU Wien, leading the Forschungsbereich Cyber-Physical Systems . His research focuses on formal methods, runtime verification, and probabilistic systems in Cyber-Physical Systems (CPS). He leads projects like 'Distribution Recovery for Invariant Generation of Probabilistic' and 'Trustworthy IoT for CPS'. Key interests include specification mining, probabilistic hyperproperties, and developing tools like MoonLight for spatio-temporal monitoring. Recent work explores reinforcement learning ethics, neural network verification, and adaptive testing frameworks. His contributions span conferences such as HSCC and RV, with notable publications on parameter synthesis, fault localization in CPS, and moment-based analysis of probabilistic loops. Research Interests : Cyber-Physical Systems (CPS) design and validation Formal specification and verification techniques Probabilistic systems and hyperproperties Runtime monitoring and adaptive testing Neural networks and ethical AI Labs/Teams : Active in TU Wien's Cyber-Physical Systems research unit, collaborating with industry and academia on CPS security and autonomous systems.

• Applied Mathematics
• Numerical and Computational Mathematics
• Biochemistry and Cell Biology
• +۲ مورد دیگر

Dr Philipp Thomas is a Lecturer in Biomathematics at the Department of Mathematics, Imperial College London, within the Faculty of Natural Sciences. He holds affiliations with the Biomathematics Group, Physics of Life group, and Mathematics research staff. He earned his PhD in Applied Mathematics from the University of Edinburgh in 2015 and serves as an associate editor for Scientific Reports . His research focuses on stochastic methods to understand single-cell dynamics and cell-to-cell variability in biological populations. Recent work includes studies on circadian clocks, cancer biology, and parameter inference in biochemical systems. He has received a UKRI Future Leaders Fellowship and a Royal Commission for the Exhibition of 1851 Fellowship. His academic contributions span software development (e.g., AgentBasedModeling.jl ), conference organizing (e.g., ECMTB 2022 mini-symposium), and mentorship of PhD students like Alasdair Daniels. His research integrates mathematical modeling, computational tools, and experimental data to address questions in systems biology, cell cycle dynamics, and metabolic heterogeneity. Education: PhD in Applied Mathematics (University of Edinburgh, 2015). Awards: UKRI Future Leaders Fellowship (2024), Royal Commission for Exhibition of 1851 Fellowship (2021). Advising: Mentors PhD student Alasdair Daniels (joined 2023). Labs/Groups: Biomathematics Group, Physics of Life group at Imperial College London.