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Dr. Mohammad Moein is a researcher at the Department of Earth Sciences, Free University of Berlin, specializing in geophysics and seismology. His academic journey includes a BSc in Petroleum Engineering (2010), MSc in Reservoir Geoscience (2012), and a PhD in Earth Sciences (2018) from ETH Zurich. He has held postdoctoral positions at Technical University of Darmstadt (2018-2019) and University of Halle (2019-2021), and since 2021, he leads a DFG-funded project on induced earthquakes in fractured rocks. His work bridges theoretical and applied geophysics, focusing on geo-energy applications. PhD: Earth Sciences, ETH Zurich (2018) MSc: Reservoir Geoscience and Engineering, IFP School (2012) BSc: Petroleum Engineering, Amirkabir University of Technology (2010) Moein's research explores the physical mechanisms of induced seismicity, stress heterogeneity in megathrust faults, and fracture network dynamics in crystalline rocks. He employs borehole imaging, hydraulic simulations, and statistical analysis to study depth-dependent fracture patterns and their implications for geothermal and carbon capture projects. His work has significant applications in assessing seismic risks associated with subsurface energy operations. His publications demonstrate interdisciplinary expertise across seismology, fracture mechanics, reservoir engineering, and geothermal systems. Key themes include pressure diffusion controls on earthquake magnitudes, fractal fracture analysis, and stress-based tomography. Current projects focus on DFG-funded research into induced seismicity mitigation. Dr. Moein's laboratory affiliations include the Seismology working group (AG Seismik) at the Institute of Geological Sciences, Free University Berlin. His career trajectory reflects a commitment to advancing geophysical understanding through field observations, experimental validation, and computational modeling.

• Seismology
• Geophysics
• Earthquake Mechanics
• +4 more

Martin Ostoja-Starzewski is a Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign, with affiliate appointments at the Beckman Institute and The Institute for Condensed Matter Theory. His academic leadership includes editorial roles at Acta Mechanica , Journal of Thermal Stresses , and chairing the Managing Editor position for Mathematics and Mechanics of Complex Systems (2012-2023). Education: Ph.D. in Mechanical Engineering (Dean's Honour List), McGill University (1983) M.Eng. (Thesis option), McGill University (1980) Engineer's degree, Cracow University of Technology (1977) Ostoja-Starzewski's research spans stochastic mechanics , fractal materials , and non-equilibrium thermodynamics , focusing on tensor random fields (TRFs) for modeling heterogeneous media. His work established quantitative bounds for representative volume elements (RVEs) and pioneered continuum models with Second Law violations , connecting micromechanics to global material behavior. Recent publications examine fractional wave equations , stochastic homogenization , and electromagnetic shielding in nanocomposites. His editorial contributions include editing 16 books/journal issues and co-founding the Modern Mechanics and Mathematics book series. Scientific Recognition: Rothschild Distinguished Visiting Fellow (2023) Academia Europaea member (2024) European Academy of Sciences and Arts (2022) Worcester Reed Warner Medal (ASME, 2018) Timoshenko Distinguished Visitor (Stanford, 2012) He leads NSF's Industry/University Cooperative Research Center for Novel High Voltage/Temperature Materials and Structures and maintains active collaborations in computational mechanics, biomedical applications, and multiscale modeling.

• Mechanics of Random and Fractal Media
• Continuum Thermodynamics
• Stochastic Wave Propagation
• +7 more

Marco Ranaldi is an Assistant Professor (Lecturer) in Economics at University College London's School of Slavonic and East European Studies (SSEES) and Director of the UCL Centre for New Economic Transitions (CNET). He is also an associated researcher at the Stone Center on Socio-Economic Inequality at CUNY, UCL Economics Department, and the UCL Centre for Capitalism Studies. His research focuses on modern capitalism through distributional analysis, including the development of compositional inequality (CI) metrics and fractal mathematics modeling of economic heterogeneity. He holds a PhD from the Paris School of Economics and has held roles at institutions like the World Bank and the London School of Economics. Research interests include applied economics, public economics, political economy, and mathematical economics, addressing topics like income inequality, capital vs. labor income dynamics, and systemic economic heterogeneity. His work intersects with Sustainable Development Goals 1 (No Poverty), 8 (Decent Work and Economic Growth), and 10 (Reduced Inequalities). His recent publications analyze compositional inequality measurement, global income distributions, fractal economic modeling, and Italian capitalism. He has contributed to policy-oriented studies on redistribution mechanisms and economic systems comparisons. While no specific awards are listed, his interdisciplinary approach bridges theoretical economics with practical policy analysis. He advises on research at multiple UCL centers and has collaborated internationally through visiting fellowships and consultancy. Languages include English (native), French, Italian, Spanish (Latin American), and Arabic (reading/writing). His work extends beyond academia with piano composition, reflecting interdisciplinary creativity.

• Applied Economics
• Economic Theory
• Public Economics - Taxation and Revenue
• +7 more

Jianting Zhu is a Professor in the Department of Civil & Architectural Engineering at the University of Wyoming, part of the College of Engineering and Physical Sciences. He serves as Graduate Program Director and Director of the Center for Computational Hydrology and Hydrosciences, contributing significantly to academic leadership and research advancement. B.S. in Engineering Mechanics, Zhejiang University M.S. in Fluid Mechanics, Peking University Ph.D. in Civil Engineering, Dalhousie University Postdoctoral Training, University of Waterloo His research centers on hydrological processes, with emphasis on vadose zone and groundwater hydrology, stochastic modeling, contaminant transport, ecohydrology, and soil physics. He investigates uncertainty under climate change and develops advanced models for flow and transport in heterogeneous and fractured media using fractal and statistical approaches. Dr. Zhu's recent publications (2020) reveal a strong focus on theoretical and computational hydrology, particularly in modeling non-Newtonian fluid flow (e.g., power-law and Bingham fluids) in fractal fracture networks, and thermal conductivity in porous and unsaturated soils. These works span disciplines including fluid mechanics, environmental engineering, geophysics, and heat transfer, demonstrating interdisciplinary integration of mathematical modeling with environmental systems. His scientific recognition includes: AGU Research Spotlight (2017) Best Theoretical-Oriented Paper Award, ASCE-EWRI (2016) NSERC Postdoctoral Fellowship (1996–1998) Excellence for Associate Editor, SSSAJ (2014) Maki Chair Award, Desert Research Institute (2010) Peter B. Wagner Medal of Excellence (2008) Dr. Zhu actively contributes to the scholarly community as Technical Editor of the Soil Science Society of America Journal. He has taught courses such as Fluid Dynamics, Hydrology, Groundwater Hydrology, and Geostatistics. While specific student advisees are not listed, his leadership as Graduate Program Director indicates active involvement in graduate education and mentorship. He leads a research center focused on computational hydrology, suggesting a collaborative team environment with potential grants supporting his modeling and experimental work in hydrosciences.

• Hydrology
• Vadose Zone Hydrology
• Groundwater Hydrology
• +12 more

Eric Rosenberg is an Assistant Professor of Computing and Decision Sciences at Seton Hall University's Stillman School of Business. Previously, he held roles at Bell Labs, AT&T Labs, Rutgers University (visiting professor), and Georgian Court University. He specializes in optimization, fractals, and network design, with a focus on mathematical modeling of real-world systems. Education: B.A. in Mathematics, Oberlin College (1975) Ph.D. in Operations Research, Stanford University (1979) Research Interests: Dr. Rosenberg’s work spans optimization algorithms, fractal network analysis, and hierarchical routing systems. His recent studies explore applications in biological networks (e.g., leaf venation) and supply chain risk modeling. He has authored influential books on multicast routing and fractal dimensions in networks. Publications Trends: His articles often blend theoretical frameworks with practical network challenges, addressing topics like fractal geometry in complex systems, hierarchical network efficiency, and Bayesian risk analysis in supply chains. Awards: AT&T Labs President’s Excellence Award (2012) Distinguished Member of Technical Staff Award, AT&T Bell Labs (1987) Teaching & Intellectual Property: Teaches courses in data analytics and business statistics. Holds multiple patents on virtual network resource management and hierarchical routing optimizations.

• Optimization
• Fractals
• Design and Analysis of Large Hierarchical Networks
• +4 more

Svein Olav Glesaaen Nyberg is an Associate Professor at the Department of Engineering Sciences , University of Agder , Norway. He has been affiliated with the university since 2003, contributing to research and education in Bayesian statistics, probability theory, and stochastic processes. His work spans interdisciplinary domains including Artificial Intelligence , Biomechatronics , and Collaborative Robotics , alongside Physics and Applied Mathematics . Education: PhD (University of Oslo, 1996), MSc (University of Oslo, 1991). Prior Roles: Postdoc at University of Edinburgh (1996-98), Senior Knowledge Engineer at Computas AS (1998-2002), and teaching positions at Volda University College (2002-03). His research integrates Bayesian statistical inference with practical applications in energy systems, robotics, and materials science. Recent work includes modeling human trajectories in industrial settings using Ornstein-Uhlenbeck processes , EEG-EMG signal fusion for rehabilitation robotics, and Bayesian analysis of power grid stability . He has also published on ecological trends in Norwegian smooth snakes, linking climate change to reproductive behaviors. Scientific Awards and recognitions include authoring the textbook The Bayesian Way: Introductory Statistics for Economists and Engineers (2018) and its Norwegian counterpart Statistikk - en bayesiansk tilnærming (2016). He holds a certificate in university pedagogy (UniPed, 2009).

• Bayesian Statistics
• Probability Theory
• Stochastic Processes
• +7 more

Arthur Matsuo Yamashita Rios De Sousa is an Assistant Professor in the School of Computing at the Tokyo Institute of Technology, where he conducts interdisciplinary research bridging applied mathematics, statistical physics, and data science. His work focuses on the modeling and analysis of complex systems through stochastic processes, time series analysis, and network science. His primary research interests include: Applied Mathematics and Probability Theory Statistical Physics and Econophysics Complex Systems and Network Science Time Series Analysis and Forecasting Symbolic Dynamics and Entropy-Based Methods Power-Law and Heavy-Tailed Distributions His recent publications demonstrate a consistent focus on developing quantitative methods for analyzing financial time series, sales data, and other real-world complex systems. The articles span topics such as volatility modeling, network-based market analysis, multiscale entropy, and symbolic dynamics, reflecting a strong integration of theoretical physics and practical data science applications. Notable trends in his research include the use of entropy measures for regime detection, modeling of heavy-tailed phenomena in economics, and the application of complex networks to multivariate systems. These efforts contribute to both fundamental understanding and practical tools in econophysics and data-driven science. There are currently no listed scientific awards or honors in the provided text. Dr. Yamashita advises students in computational and quantitative research, particularly in areas related to data analysis of complex systems. While specific grant funding is not mentioned, his sustained publication record suggests active research support. He likely contributes to collaborative projects involving financial data modeling, nonlinear dynamics, and interdisciplinary applications of statistical physics. He is involved in academic events such as the Econophysics Colloquium and workshops at the Complexity Science Hub, indicating participation in international research networks focused on complex systems science.

• Applied Mathematics
• Statistical Physics
• Probability Theory
• +7 more

Rafal P. Wojda is a Research and Development Staff Member at Oak Ridge National Laboratory (ORNL), Knoxville, TN, since 2018. His professional journey includes a Senior Scientist role at ABB Corporate Research Center (2012–2018) and academic training in Electronics Engineering from Warsaw University of Technology (B.S./M.S.) and Wright State University (Ph.D., 2012). As a Fulbright Scholar (2009–2010), he specialized in microwave engineering, VLSI, and nanotechnology. Current Role: Leads research on advanced magnetic technologies for power flow control and energy-efficient hardware for exascale HPC systems at ORNL. Research Focus: High-frequency magnetics, loss optimization, insulation coordination, solid-state transformers, wireless power transfer, and partial discharge phenomena. His publications span magnetic component design, thermal management, and power conversion systems, with recent work on flexible PCB windings , digital twins for supercomputers , and additive manufacturing of copper windings . Awards include IEEE Senior Member (2020), IET Power Electronics Premium Award (2014), and Fulbright Commission Award (2009). Professional Service: IEEE East Tennessee PELS/PES Joint Chapter Secretary (2018–2022) and Chair (2022–present). Expertise: Holds multiple patents in magnetic component optimization and collaborates extensively with academia and national laboratories.

• High-Frequency Magnetics
• Medium-Voltage Magnetic Components
• Loss Optimization in Magnetic Devices
• +5 more

Dr Anqi Liu is a Senior Lecturer in Financial Mathematics at the School of Mathematics, Cardiff University. She specializes in market microstructure, trading behavior, time series models, Hawkes processes, and fractal activity time geometric Brownian motion (FATGBM) in finance, with a focus on FinTech applications including cryptocurrencies and blockchain technology. BSc in Mathematics and Applied Mathematics, Northwest University, China MSc and PhD in Financial Engineering, Stevens Institute of Technology, USA Her research integrates quantitative finance and computational finance methodologies to improve pricing and risk modeling frameworks for financial markets, emphasizing systemic perspectives. Recent work explores trading behavioral patterns in crypto markets and blockchain-based financial network reactions to systemic events. Key research trends include: Applications of Hawkes processes and entropy approaches to market dynamics Agent-based modeling of financial networks and behavioral patterns Machine learning integration for sentiment analysis and trading strategies Systemic risk evaluation in traditional and crypto markets Novel pricing models like FATGBM extensions Scientific contributions include: Stevens Innovation and Entrepreneurship Scholarship (4 years during PhD) She has published extensively in journals like Quantitative Finance , European Journal of Finance , and Entropy , with recent works analyzing SVB collapse contagion effects and cryptocurrency price bubbles using wavelet analysis. Her supervision areas include cryptocurrency market microstructure, Hawkes processes, and agent-based modeling in behavioral finance.

• Financial Mathematics
• Quantitative Finance
• Computational Finance
• +10 more

Christophe Farges is an Associate Professor at the University of Bordeaux, working within the IMS (Laboratoire de l'intégration, du matériau au système) research laboratory. He belongs to the Automatic Control research group and is part of the CRONE team. His academic career spans over 15 years since joining the University of Bordeaux in 2007. MSc in Electronics, Electrotechnical and Automatics from the University of Toulouse (2002) PhD in Automatic Control from the University of Toulouse (2006) Authorization to conduct research (HDR) (2017) Christophe Farges' research primarily focuses on fractional order systems, which exhibit dynamics in the power of time rather than classical exponential dynamics. His work spans several application areas including heat transfer, vibration of viscoelastic materials, and charging/discharging of electric batteries. He develops non-integer models for these systems and creates dedicated modeling tools, as well as analysis, control, and diagnostic methods based on these models. More recently, he has been working on methods for estimating remaining battery useful life using both model-based and artificial intelligence approaches. His publications demonstrate a strong focus on Volterra equations for fractional behaviors modeling, particularly applied to lithium-ion cells and other electrochemical systems. Christophe's work shows a clear evolution from fundamental fractional calculus theory toward practical applications in energy systems, particularly battery management. His most recent publications indicate an increasing integration of artificial intelligence methods with traditional control theory for remaining useful life estimation. His teaching activities are mainly performed at the Evering Institute of Merignac and concern modeling, control and fault detection and isolation. He has been involved in numerous research collaborations with industrial partners including STMicroelectronics, Stellantis, Thales, NXP, CEA Leti, and others through the GIS ALBATROS consortium. Christophe leads research within the CRONE team at IMS Bordeaux, which focuses on the application of fractional calculus to real-world engineering problems. His work bridges theoretical mathematical developments with practical engineering applications, particularly in the domains of energy storage and thermal systems.

• Fractional Order Systems
• Automatic Control
• System Modeling
• +5 more

Brian Wissman serves as Interim Associate Vice Chancellor for Academic Affairs and Professor of Mathematics at the University of Hawaiʻi at Hilo within the College of Natural and Health Sciences. His academic leadership spans administrative and teaching roles while maintaining active research in nonlinear systems. Dr. Wissman earned his Ph.D. from the University of California, Davis in 2007 after growing up in the San Francisco Bay Area. His research focuses on Nonlinear Conservation Laws (including gas dynamics and shockwave propagation), Time Series Analysis for chaotic system reconstruction, and Factorization Theory in Monoids . He develops mathematical models to analyze discontinuous solutions in nonlinear systems and explores attractor geometry in chaotic flows. His publications reveal a strong emphasis on applied mathematical physics and algebraic structures , particularly in shockwave dynamics and numerical monoid factorization. Recent work combines theoretical frameworks with computational approaches to nonlinear phenomena. Project NExT Fellow (Sun Dot cohort, 2007) Co-Principal Investigator for Pacific Undergraduate Research Experience (PURE) Mathematics REU As academic administrator, Dr. Wissman established the UH Hilo Putnam competition team in 2011 and regularly supervises directed studies in advanced topics like Nonlinear Conservation Laws and General Relativity. His teaching portfolio includes Ordinary/Partial Differential Equations, Chaos Theory, and Mathematical Physics courses. Outside academia, he coaches youth cross country and plays Ultimate Frisbee at Hilo Bayfront Fields.

• Nonlinear Dynamics
• Gas Dynamics
• Shockwaves
• +6 more

Karol Życzkowski is a Professor of Physics at the Atomic Physics Department, Institute of Theoretical Physics, Jagiellonian University in Cracow, Poland. He also holds a position at the Center for Theoretical Physics of the Polish Academy of Sciences in Warsaw. Since January 2023, he has served as President of the Cracow Branch of the Polish Academy of Sciences (PAN). Previously, from 2019 to 2023, he was Director of the Quantum Information Center in Gdańsk (KCIK). In 2024, he was awarded an ERC Advanced Grant for his project 'Typical and Atypical Structures in Quantum Theory'. Życzkowski earned his Ph.D. in theoretical physics from Jagiellonian University in 1987 under the supervision of Prof. Jan Mostowski. He completed his habilitation in physical sciences at the same institution in 1994. His academic journey includes prestigious fellowships: Humboldt Fellowship at Essen University (1989-90) and Senior Fulbright Fellowship at the University of Maryland (1997-98). He became a full Professor of Physics in Poland in 2005 and has held positions at both Jagiellonian University and the Polish Academy of Sciences. His research spans multiple areas of theoretical physics and mathematics, with a primary focus on quantum information theory. He has made significant contributions to understanding quantum entanglement, quantum chaos, random matrices, and the geometry of quantum states. His influential book 'Geometry of Quantum States: An Introduction to Quantum Entanglement,' co-authored with Ingemar Bengtsson, has become a standard reference in the field. Beyond quantum physics, he has conducted important work in voting theory, developing the 'Jagiellonian Compromise' for the Council of the European Union based on the Penrose Square Root Law. Analysis of his publication record reveals a consistent focus on the mathematical foundations of quantum information, with increasing interdisciplinary work connecting quantum physics to other fields like game theory and financial mathematics. His research has evolved from foundational quantum mechanics to practical applications in quantum computing and information processing, while maintaining strong mathematical rigor. ERC Advanced Grant (2024) for 'Typical and Atypical Structures in Quantum Theory' NCN Grant Maestro-7 (2016) Award of Rector of Jagiellonian University for monograph 'Geometry of Quantum States' (2007) Award of Rector of Jagiellonian University for series of papers on mathematical foundations of quantum information theory (2013) Prime Minister Award for outstanding habilitation thesis (1995) Senior Fulbright Fellowship (1997) Humboldt Fellowship (1989) Życzkowski has supervised 16 Master's theses and 5 Ph.D. theses, with 3 additional Ph.D. projects in progress. He has coordinated 9 research grants and participated in 10 others, including leading the Polish node of a German SFB-Transregio project. His editorial service includes positions on the boards of Open Systems & Information Dynamics (since 2003), Journal of Physica A (2004-2006, 2007-2010), Quantum (2016-2021), and Acta Physica Polonica B (since 2021). He has served on panels evaluating ERC Advanced Grants three times. At Jagiellonian University, Życzkowski leads the Jagiellonian Quantum Information Team (JQIT) and organizes the weekly 'Quantum Information & Chaos' seminar. He has been instrumental in establishing quantum information research in Poland, co-organizing the European Research Network Krzyżowa Initiative for Quantum Information and the Polish Research Network LFPPI (Laboratory of Physical Foundation of Information Processing).

• Quantum Information
• Quantum Chaos
• Entanglement
• +7 more