Lusophone University of Humanities and TechnologiesPortugal
João Paulo Duarte Ramos is a researcher affiliated with Universidade Lusófona , holding a Doctorate in Complexity Sciences and a Master's in Sports Sciences. His work bridges complex systems theory with sports performance analysis, focusing on soccer dynamics. Education Doutoramento em Ciências da Complexidade (2019) Mestrado em Ciências do Desporto (2019) Licenciatura em Educação Física e Desporto (1999) Research Interests Application of hypernetworks and complex systems theory to team sports Interpersonal coordination and emergent behavior in soccer Information-theoretic approaches to game dynamics Publications Contributed to journals like Chaos, Solitons & Fractals and Sports Medicine Authored book chapters on network centrality and interpersonal coordination Contact Email: joaopauloduarteramos@meuemail.net Addresses: Lisbon and Porto campuses of Universidade Lusófona
Ioan Manolescu is a professor in the Department of Mathematics at the University of Fribourg, Switzerland. His research focuses on probability theory and statistical mechanics, particularly percolation, random-cluster models, Potts models, and self-avoiding walks. He obtained his PhD from the University of Cambridge under Geoffrey Grimmett in 2012 and was a postdoc at the University of Geneva (2012-2015). Education ENS Paris (student) University of Cambridge (PhD, 2012) Supervisors: Geoffrey Grimmett Research Specializes in critical phenomena in statistical mechanics Key techniques: FKG inequality, Russo-Seymour-Welsh methods, star-triangle transformations Focus on universality and scaling relations across models His recent publications analyze arm exponents in FK-percolation, crossing widths in Poisson Boolean models, and universality in loop O(n) models. He teaches Analyse I & II at University of Fribourg, supported by assistants. Contact: ioan.manolescu@unifr.ch
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.
Budapest University of Technology and EconomicsHungary
Ferenc Simon is a full professor and deputy director at the Institute of Physics, Faculty of Natural Sciences, Budapest University of Technology and Economics (BME). He also holds a venia docendi (Privat-dozent) position at the University of Vienna. He leads the MTA-BME Spintronics Research Group (PROSPIN) and was PI on the ERC Starting Grant “SYLO”. Education & Qualifications PhD (Hungarian Academy of Sciences) Doctor of the Hungarian Academy of Sciences Habilitation at TU Budapest Habilitation (venia docendi) at Universität Wien Research Interests Professor Simon’s work spans spintronics , carbon-based nanostructures (nanotubes, graphene, fullerene peapods), superconductivity , and low-dimensional quantum systems . He employs electron spin resonance, NMR, optical and microwave spectroscopy, and isotope engineering to explore spin relaxation, Tomonaga–Luttinger liquids, and high-frequency response of superconductors. Recent projects extend into biomedical applications such as magnetic nanoparticle hyperthermia. Scientific Output & Trends His publication record (hundreds of papers, book chapters, reviews) is dominated by Physical Review Letters and Scientific Reports articles that collectively advance the understanding of spin and electronic correlations in carbon nanostructures, superconducting anisotropy, and advanced instrumentation. The 2017–2018 burst of papers on microwave absorption in superconductors and non-calorimetric hyperthermia power measurements signifies an expansion toward applied physics and medical physics. Awards & Honors MTA Talentum Award (2006) Editorial Board Member, Scientific Reports (since 2017) Editor, Fizikai Szemle (since 2018) Referee for Nature, PRL, and >10 other journals Students, Grants & Labs Simon has supervised ~85 BSc, MSc and PhD students (listed explicitly on his homepage). Current PhD students include L. Szolnoki, B. Gyüre, B. Márkus, I. Gresits, and others. He leads the PROSPIN group (MTA-BME Spintronics Research Group) and participates in the EnsembleQC consortium under Hungary’s Quantum Technology National Excellence Program.
Budapest University of Technology and EconomicsHungary
Imre Varga is an Associate Professor at the Department of Theoretical Physics, Budapest University of Technology and Economics. His office is located in Room F III. GF 8, and he can be contacted via email at varga.imre@ttk.bme.hu or by phone at +36 1 463 1059. Dr. Varga's research focuses on theoretical physics with emphasis on: Disordered quantum systems and Anderson localization transitions Multifractality in critical random matrix ensembles Quantum chromodynamics at high temperatures Quantum chaos and mesoscopic transport phenomena Finite-size scaling at metal-insulator transitions His publications predominantly explore critical phenomena in condensed matter and high-energy physics, with recurring themes of multifractal analysis, disorder effects, and quantum transport. Recent works investigate complexity measures in quantum systems (2025), phase space entropies (2022), and Dirac operator spectra in QCD (2015). No scientific awards or student advising relationships are mentioned in the available information. Laboratory affiliations, team collaborations, or grant information are not specified in the provided materials.
Rossitsa Yalamova is an Associate Professor in the Department of Finance at the Dhillon School of Business, University of Lethbridge. She holds a PhD in Finance from Kent State University (2003), an MBA from the University of Pittsburgh (1995), and an MD from Saint Petersburg State Medical Academy (1985). Education: PhD in Finance (2003), Kent State University MBA (1995), University of Pittsburgh MD (1985), Saint Petersburg State Medical Academy ABD in Microbiology (1991), University of Sofia Her research focuses on nonlinear dynamics, fractal analysis, and complexity theory applied to financial markets. She explores how chaotic systems and multifractality manifest in stock prices, market crashes, and risk assessment models. Yalamova's publications highlight trends in financial econophysics, including power laws, beta scaling, and herding behaviors in trading. She collaborates with scholars like Bill McKelvey to model market critical points and resilience engineering. She has participated in international workshops such as the MSRI Berkeley Workshop on Percolation and Interactive Systems (2012) and the Complex Systems Summer Schools at Santa Fe Institute and Institute of Theoretical Physics Beijing.
Anna Filomena Carbone is a Full Professor in the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, where she directs the NOISELAB research laboratory. Her academic career spans over three decades since earning her PhD in Physics in 1993, with significant contributions to interdisciplinary research at the intersection of physics, data science, and complex systems. Her research interests encompass complex systems, data analysis, statistical analysis, modeling and simulation, and time series analysis, with a particular focus on noise in physical systems. Dr. Carbone has authored over 100 articles in international journals and conference proceedings, with recent publications (2023-2025) demonstrating continued productivity in areas including financial time series analysis, urban scaling laws, quantum information, and brainwave dynamics. Her work shows a clear trend toward increasingly interdisciplinary applications of statistical physics methods to real-world complex systems across multiple domains. Member of the Board of the Nonlinear and Statistical Physics (NSP Board) of the European Physical Society (EPS) since 2009 Member of Scientific Committee - European Physical Society, Belgium (2009-2015) Editorial board member for multiple journals including Physica A, European Physical Journal B, and Chaos, Solitons and Fractals Program chair for multiple International Conferences on Data Science Challenges Dr. Carbone actively supervises PhD students (including Chiara Panico in Computer and Systems Engineering) and serves as Course Instructor for Quantum Information and Quantum Computing courses. Her research projects include TED4LAT (2022-2025), FuturICT 2.0 (2017-2020), and Challenges in Data Science (2016). She maintains active collaborations with institutions including the European Commission and the Department for Digital Transformation of the Presidency of the Council of Ministers.
Rui J. Lopes is an Associate Professor in the Department of Information Science and Technology at ISCTE – Instituto Universitário de Lisboa, where he has been a faculty member since 1997. He is also an Integrated Researcher and Coordinator of the Network Architecture and Protocols Group at the Institute of Telecommunications - IUL. He holds a PhD in Computer Science from Lancaster University (2005), a Master’s and Bachelor’s in Electrical and Computer Engineering from Instituto Superior Técnico, University of Lisbon. PhD in Computer Science – University of Lancaster (2005) Master’s in Electrical and Computer Engineering – Instituto Superior Técnico (1997) Bachelor’s in Electrical and Computer Engineering – Instituto Superior Técnico (1994) His research focuses on complex and dynamic systems, particularly multilayer hypernetworks, networked multimedia, and applications in sports performance analysis. He has made significant contributions to modeling team synergies in football using network science and optical tracking data. His work bridges computer science, network theory, and sports analytics, with a strong emphasis on real-world applications. His recent publications span high-impact journals in sports science, network science, and complex systems. Key themes include team coordination, temporal networks, performance modeling, and the application of information theory to sports. His research often integrates data-driven modeling with theoretical frameworks to uncover patterns in collective behavior. Guest Editorial: Advances in Tools, Techniques and Practices for Multimedia QoE (2015) Multiple publications in Sensors, Chaos, Solitons & Fractals, European Journal of Sport Science, and Sports Medicine High citation counts across Google Scholar (598), Scopus (282), and Web of Science (269) Rui J. Lopes has supervised over a dozen master’s students and five PhD candidates, three of whom completed with the highest grade. He has also contributed to academic leadership by directing the doctoral program in Complexity Sciences (2018–2020) and promoting internationalization programs such as Erasmus and IAESTE. His research is conducted primarily at the Institute of Telecommunications, where he leads a research group focused on network architectures and protocols. He is actively involved in interdisciplinary research, collaborating with experts in sports science, urban planning, and social systems. His work on syntgen, a system for generating temporal networks, and on protest modeling using agent-based simulations, highlights the breadth of his methodological expertise.
Remy Levin is an Assistant Professor of Economics at the University of Connecticut, affiliated with the College of Liberal Arts and Sciences and the UConn Cognitive Science Program. He specializes in Behavioral Economics and Decision Theory, focusing on the Co-Evolution of Risk and Utility. His research spans macroeconomic fluctuations, climate change impacts on risk preferences, and the intersection of insurance, financial, and development economics. Education: PhD in Economics from UC San Diego (2020), with a focus on Behavioral Economics and Decision Theory. BA in Economics and BS in Mathematics, both Summa Cum Laude from Western Washington University (2013). Notable undergraduate work includes a thesis on fractal geometry and a paper on the co-evolution of U.S. Constitutional law and international law, earning departmental honors. Research interests prioritize decision-making under uncertainty, with contributions to climate change economics, policy analysis, and interdisciplinary projects like genetic influences on risk tolerance. He co-authored frontier studies on this topic and led a dissertation analyzing Indonesian and Mexican panel data to study adaptive risk-taking in response to aggregate shocks. Teaching includes Behavioral Economics (Econ 3498) and Intermediate Micro (Econ 2201). He co-organizes UConn’s Microeconomics seminar and actively participates in data preservation efforts amid political threats to scientific resources. His recent work critiques anti-science policies and advocates for distributed data archiving to protect academic research integrity. Professional activities include grant-seeking for climate and economic datasets, mentorship in applied risk research, and public engagement via Bluesky on topics ranging from academic freedom to environmental policy. No specific awards are listed, though his work has been featured in interdisciplinary collaborations and policy discussions.
Lucas Cuadra Rodríguez is a Full Professor in the Department of Signal Theory and Communications at Universidad Alfonso X El Sabio (UAX). He holds a PhD from Universidad Politécnica de Madrid (2004), specializing in intermediate band solar cell development. His research spans quantum dot systems, network science applications in materials and energy systems, and machine learning for environmental and engineering challenges. Key areas include photovoltaic materials, complex network modeling of disordered systems, and renewable energy optimization. Education: Doctorado en Física from Universidad Politécnica de Madrid (2004), supervised by Dr. Antonio Marti Vega and Dr. Antonio Luque López. His work bridges physics, computer science, and engineering, with a focus on interdisciplinary solutions for energy and environmental systems. Research Interests: His primary focus is on developing novel semiconductor solar cell structures, particularly quantum dot-based intermediate band solar cells, and applying network science to study carrier transport in nanomaterials. He also explores machine learning applications in Earth observation, wind energy prediction, and complex system analysis. His recent work emphasizes spatially embedded networks and their relevance to material science and renewable energy infrastructure. Notable Projects: Leading the GHEODE Research Group (Modern Heuristics and Network Design), he investigates optimization algorithms for smart grids and network robustness. Recent studies include modeling electron transport in van der Waals materials and analyzing fog event persistence through nonlinear dynamics. Awards: No specific awards mentioned in the provided text. Advising & Grants: While his PhD supervision details are noted, no current student advisees or grant projects are detailed here. His work often involves collaborative interdisciplinary projects with engineering and environmental science teams. Labs/Teams: Active in the GHEODE Group at UAX, focusing on heuristic algorithms and network-based solutions for engineering challenges.
Max Planck Institute for the Physics of Complex SystemsGermany
Roland Ketzmerick is a Professor at Technische Universität Dresden, leading the Computational Physics group. He is also a Max Planck Fellow at the Max Planck Institute for the Physics of Complex Systems. His research focuses on quantum chaos, mesoscopic physics, and Hamiltonian systems. Studied Physics at Technische Universität Darmstadt, Universität Freiburg, and Purdue University PhD in Physics (1989, Universität Frankfurt) Habilitation (1998, Universität Göttingen) Postdoctoral work at University of California Santa Barbara His research interests include quantum chaos in mixed systems, power-law trapping in Hamiltonian systems, Floquet systems , Hamiltonian ratchets , fractal spectra , and Bloch electrons in magnetic fields . Recent work explores resonance states in chaotic scattering, quantum transport in higher-dimensional systems, and dynamical tunneling in 4D Hamiltonians. His publications reveal trends in quantum chaos theory , resonance-assisted tunneling , and multifractal wavefunction analysis across quantum optics, condensed matter, and nonlinear dynamics. Key collaborations include Arnd Bäcker and Konstantin Clauß. Scientific recognition includes the Otto-Klung-Prize (1999). He has led the DFG Forschergruppe FOR760 (2010-2013) and served as Physics Department Head (2016-2018). As head of TU Dresden's Computational Physics group, his team investigates quantum chaos mechanisms using semiclassical methods and numerical simulations. Recent projects analyze Arnold web dynamics , dielectric cavity resonance , and ultracold atom entanglement in chaotic systems.
Fred Boadu is an Associate Professor in the Department of Civil and Environmental Engineering at Duke University's Pratt School of Engineering, where he also serves as the Director of Master's Studies. His research lies at the intersection of geophysics, environmental engineering, and computational mechanics, focusing on non-invasive methods to characterize porous media such as soils, fractured rocks, and biological tissues. His research interests center on understanding how engineering, environmental, and petrophysical properties of porous media influence measurable geophysical responses. He develops methodologies to infer these properties from geophysical data using advanced techniques including fractal analysis and artificial neural networks. His work spans laboratory experiments, field studies, and numerical modeling, with applications in environmental health, infrastructure development, and subsurface resource management. Dr. Boadu’s recent publications reveal a strong trend toward integrating machine learning and fractal models with geophysical measurements to predict soil and rock properties. His research increasingly emphasizes sustainable materials, tropical geotechnics, and environmental contamination—particularly nitrate pollution in Ghanaian groundwater. The interdisciplinary nature of his work bridges civil engineering, environmental science, and data-driven modeling. Junior Faculty Enhancement Award - Applied Science Category, Oak Ridge Associated Universities, 1997 Dr. Boadu has advised multiple Master of Engineering students through internship and project courses such as MENG 550–553 and CEE 780. While specific grant details are not listed, his sustained research output and industry collaborations with oil companies (Chevron, Amoco, Mobil) and national entities like Ghana National Petroleum Corporation suggest a history of funded projects. He has also contributed to education and public awareness campaigns on health hazards from groundwater contamination in Ghana. His research group, accessible via http://applied-geophysics.cee.duke.edu , focuses on applied geophysics, utilizing computational tools and experimental data to solve real-world engineering and environmental problems.
Jose A. Carrillo de la Plata is Professor of the Analysis of Nonlinear Partial Differential Equations at the University of Oxford's Mathematical Institute and Tutorial Fellow in Applied Mathematics at The Queen's College. He serves as ICIAM Officer at Large and previously held positions at Imperial College London (2012-2020), Universitat Autònoma de Barcelona (2003-2012), University of Texas at Austin (1998-2000), and Universidad de Granada (1992-1998, 2000-2003). His educational background includes a PhD from Universidad de Granada alongside MA, MSc, and BSc degrees: PhD in Mathematics, Universidad de Granada MA, MSc, BSc (unspecified institutions) Carrillo's research centers on Partial Differential Equations with applications across physics, engineering, life sciences, and socio-economical modeling. His expertise includes long-time asymptotics, qualitative properties, and numerical schemes for nonlinear diffusion, hydrodynamic, and kinetic equations modeling collective behavior in many-body systems. Key applications span gas molecules in rarefied gases, granular media, semiconductor charge transport, neural synchronization in computational neuroscience, and cell movement via chemotaxis or adhesion forces. His work bridges rigorous mathematical analysis with computational implementation and real-world biological applications. His recent publications demonstrate strong trends in aggregation-diffusion equations, nonlocal interactions, and structure-preserving numerical methods for gradient flows. Key thematic areas include tissue growth modeling, neural field dynamics, pattern formation in particle systems, and the development of computational frameworks for complex biological phenomena. His work increasingly integrates Bayesian inference with continuum mechanics for biological applications. His scientific achievements have been recognized with prestigious awards: SEMA prize (2003) and GAMM Richard Von-Mises prize (2006) for young researchers Wolfson Research Merit Award (2012-2017) ERC Advanced Grant (2019) Echegaray Medal (2022) and International Tartufari Prize (2024) Election to European Academy of Sciences (2018), SIAM Fellow (2019), Academia Europeaea (2023), and Royal Academy of Sciences of Spain (2021) As an educator, Carrillo received the 2016 SACA award for best PhD supervision at Imperial College London. He leads research in Oxford's Mathematical Biology group and Oxford Centre for Nonlinear PDE, currently directing an ERC Advanced Grant on nonlocal PDEs for complex particle dynamics, phase transitions, patterns, and synchronization. His service includes chairing the European Mathematical Society's Applied Mathematics Committee (2014-2017) and serving as ICIAM Officer at Large since July 2024. He actively collaborates with Oxford's Mathematical Biology, Nonlinear PDE, and Numerical Analysis research groups while leading the European Academy of Sciences' Mathematics Division. His work bridges theoretical mathematics with interdisciplinary applications through partnerships with computational biologists and neuroscientists.
Carlos Fernando Avenancio-León is an Assistant Professor of Finance at the Rady School of Management, University of California San Diego. His academic work focuses on the intersection of finance, political power, and economic inequality, with particular attention to how financial mechanisms affect disadvantaged communities and shape economic outcomes. Professor Avenancio-León's research centers on what he terms 'Equitable Finance'—examining how financial systems and institutions contribute to or mitigate economic inequality. His work spans Corporate Finance, Household Finance, and Labor & Finance, with additional interests in Empirical Legal Studies and Political Economy. He investigates how political empowerment translates to economic advancement, particularly for marginalized communities, and how financial institutions either reinforce or reduce existing inequalities. His research has revealed systematic racial disparities in property tax assessments, demonstrating how Black and Latinx homeowners systematically pay higher effective tax rates due to assessment practices that overvalue properties in minority neighborhoods. This work, published in top journals like the Quarterly Journal of Economics, has been widely covered in major media outlets including The New York Times, The Wall Street Journal, and The Guardian. His research on voting rights shows how political empowerment through the Voting Rights Act of 1965 translated to tangible economic improvements for Black Americans. 2018 Equitable Growth grantee for research on voting rights and economic inequality Professor Avenancio-León collaborates extensively with researchers across multiple institutions and disciplines. His work bridges finance, economics, law, and political science to address systemic inequalities. He serves as a Nonprofit Board Member and Treasurer of Proyecto Matria, a Puerto Rico-based organization fighting gender-based violence that has received support from MacKenzie Scott's Yield Giving initiative. His commitment to addressing economic inequality extends to advocacy for political representation for Puerto Rico, which he views as both a political and economic issue affecting more than 3 million disenfranchised Americans.
Timothy Garrett is a Professor in the Department of Atmospheric Sciences at the University of Utah, where he has held a continuous faculty position since July 2014. Previously, he served as an Associate Professor (2008-2014), Assistant Professor (2002-2008), and Research Assistant Professor (2001-2002) at the same institution, with several visiting professor appointments interspersed throughout his career. His academic journey includes a BS in Physics from the University of Waterloo (1992), followed by an MS (1995) and PhD (2000) in Atmospheric Sciences from the University of Washington. Professor Garrett's research focuses on understanding the complex dynamics of clouds and precipitation across multiple spatial and temporal scales. His work particularly examines cloud physics, snow and precipitation microphysics, atmospheric turbulence, and the relationship between economic systems and energy consumption. He has developed innovative measurement techniques, including the Differential Emissivity Imaging Disdrometer (DEID), for studying individual hydrometeors in detail. His research group seeks ways to constrain the challenging problem of understanding cloud behavior in climate systems, asking whether cloud-climate interactions are fundamentally simple or impossibly complex. Analysis of Professor Garrett's recent publications reveals a strong focus on cloud physics, precipitation dynamics, and the intersection of atmospheric science with economics. His work demonstrates consistent innovation in both measurement techniques and theoretical frameworks, with a particular emphasis on developing constraints for cloud behavior in climate models. Notable trends include the exploration of scale invariance in cloud systems, the physics of snowflake dynamics in turbulent air, and the thermodynamic foundations of economic growth and energy consumption. Highlight Article in Nonlinear Processes in Geophysics (2024) Highlight Article in Atmospheric Chemistry and Physics (2024) Physics of Fluids: Feature Article (2023) CELEBRATE U: A Showcase of Extraordinary Faculty Achievements: Innovator/Entrepeneur (2020) New Investigator Award from NASA (2005) Huber Fellow from Princeton University (2000) Professor Garrett actively mentors graduate students through thesis research in both MS and PhD programs. His grant portfolio demonstrates significant research funding from multiple federal agencies including the National Science Foundation, Department of Energy, NASA, and the US Army, with recent projects focused on cloud physics, precipitation measurement technologies, and the relationship between economic production and energy consumption. He leads the Garrett Group, which develops innovative approaches to studying atmospheric phenomena, and has co-founded technology companies including Particle Flux Analytics, Inc. to commercialize research outcomes. His work has important applications for weather forecasting, climate modeling, and avalanche hazard mitigation.
