Ioannis Vrontos is an Associate Professor at the Department of Statistics, Athens University of Economics and Business (AUEB). He holds a B.Sc., M.Sc., and Ph.D. in Statistics all from AUEB (1995, 1997, 2001 respectively). His research focuses on Bayesian methods, financial econometrics, and time series analysis, with applications in asset pricing, volatility modeling, and risk management. He has published extensively in top journals like the Journal of Empirical Finance and Journal of Computational and Graphical Statistics. Education: B.Sc. in Statistics, AUEB (1995) M.Sc. in Statistics, AUEB (1997) Ph.D. in Statistics, AUEB (2001) Research Interests: Bayesian inference, hidden Markov models, financial econometrics, optimal portfolio allocation, and hedge fund analysis. His work integrates advanced statistical techniques with financial market applications. Publications reflect expertise in econometric modeling, particularly in handling model uncertainty and structural breaks. Recent work includes pandemic economic impact analysis and machine learning applications in financial forecasting. Professional Affiliations: Member of the International Society for Bayesian Analysis, Institute of Mathematical Statistics, and Greek Statistical Institute. Lab/Team Involvement: Active in AUEB's statistical research groups, contributing to interdisciplinary projects in finance and economics.
Orhan Kara is a Professor and former chairperson in the Department of Economics and Finance at West Chester University's College of Business & Public Management. He holds two Ph.D. degrees from the University of Wisconsin-Madison and Milwaukee, with specializations in human capital economics, international trade, and entrepreneurship. His research examines rate of return to education investments, gender wage discrimination, international trade flows, inflation/exchange rate relationships, and entrepreneurship in developing economies. He has published in journals including International Review of Applied Economics, Journal of Economic Studies, and Journal of Small Business Management. He has served as President of the Pennsylvania Economic Association.
Dr. Richard Gaschnig is an Associate Professor in the Department of Environmental, Earth and Atmospheric Sciences at the University of Massachusetts Lowell (UML). He holds an affiliation with the Kennedy College of Sciences and specializes in geochemistry, geochronology, and igneous petrology. His research focuses on using radiogenic and stable isotopes, along with trace elements, to study continental crust formation and evolution through igneous and sedimentary processes. Education: Ph.D. in Geology, Washington State University (2010) M.S. in Geology, University of North Carolina at Chapel Hill (2005) B.S. in Geology, University of Delaware (2003) Research interests include provenance analysis of sedimentary rocks, crustal evolution via glacial diamictites, and subduction zone metamorphism. He employs advanced analytical techniques such as laser-ablation ICP-MS and Q-ICP-MS in his laboratory facilities at UML. Recent work highlights include studies on Mesoproterozoic paleogeography, molybdenum isotope behavior in subduction zones, and vanadium isotope evidence for crustal evolution. Grants and collaborations include NSF-funded projects on Mesoproterozoic supercontinent configuration and subduction zone metamorphism. His lab equipment supports trace element and isotope analysis of zircon, monazite, and other minerals. Labs/Teams: Gaschnig oversees a research group equipped with state-of-the-art geochemical instrumentation, contributing to interdisciplinary studies of continental crust dynamics and tectonic processes.
Michael Goldman is a junior CNRS researcher at the Centre de Mathématiques Appliquées (CMAP) of École Polytechnique. His research focuses on Partial Differential Equations (PDEs), Geometric Measure Theory, Optimal Transportation, and Calculus of Variations. He explores applications in material sciences, homogenization, and mathematical physics. Notable contributions include studies on Gamma convergence in superconductors, optimal transport dynamics, and branched transport models. His work bridges theoretical analysis with applied problems, addressing topics like liquid drop models, particle systems, and phase transitions. Goldman actively participates in academic networks, organizing conferences and contributing to seminars such as the Parisian Calculus of Variations group. His research also touches on image processing and geometric flows, reflecting interdisciplinary interests in mathematical modeling and analysis.
Mark G. Davidson is a Professor in the Department of Mathematics at Louisiana State University , teaching courses including Ordinary Differential Equations (Math 2065) and Advanced Calculus (Math 4031) with office hours in Lockett Hall. His research focuses on: Lie Groups Representation Theory Harmonic Analysis Ordinary Differential Equations Publication trends reveal two distinct phases: Representation theory and harmonic analysis (1980s-2000s) featuring Highest Weight Representations and Laguerre Functions Differential equations education (2010s) through textbook authorship and solution manuals No scientific awards, student advising records, or research grants were documented in available sources.
Dr. Michael Gallagher is a Senior Lecturer in Digital Education at the University of Edinburgh and Co-Director of the Centre for Research in Digital Education. His work focuses on critical examinations of educational technologies, mobilities, and marginalized groups in development contexts. He holds a PhD from University College London and MSc degrees from the University of Edinburgh and Drexel University. His research explores how digital education intersects with global challenges like displacement and inequality, emphasizing frameworks that address systemic barriers in education. He leads multiple funded projects, including initiatives on digital inclusion in Sub-Saharan Africa and refugee education in Uganda, funded by organizations like the Mastercard Foundation and Royal Society of Edinburgh. Gallagher is also Chief Digital Education Officer at Panoply Digital and has advised institutions worldwide on edtech and development. Education: PhD: University College London (Education) MSc: University of Edinburgh (Digital Education) MSc: Drexel University (Information Science) BSc: Wright State University (Education) Research Interests: Digital futures, mobilities of education, Global South development, refugee inclusion, and policy analysis. His work employs mobilities frameworks to study how technology structures education for displaced populations and marginalized groups. Key Projects: Leading the Mastercard Foundation-funded Practitioner Networks and Digital Inclusion project, Royal Society of Edinburgh-funded Connected Policy, Practice and Accreditation initiative, and the Foundations for All project in Uganda. Collaborates with UNHCR, World Bank, and other global bodies on refugee education and digital equity. Awards: Fellow of the Higher Education Academy (FHEA). Teaching: Programme Director of the MSc in Digital Education (2020–2024), supervising PhD students in critical edtech and access to education for marginalized groups.
Dr. Martin Heida is a researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, where he has been a member of the Partial Differential Equations research group since 2015. His work focuses on homogenization theory, stochastic processes, and numerical methods for complex systems. He holds a PhD from the Universities of Heidelberg and Prague (2011), and prior to WIAS, he was a PostDoc at TU Dortmund (2011–2015) and a graduate student at the Heidelberg Graduate School of Mathematical and Computational Methods (2008–2011). Education : PhD in Mathematics and Physics, cotutelle between Heidelberg University (Prof. Willi Jäger) and Charles University Prague (Prof. Josef Málek), 2011 Diploma in Physics and Mathematics from Heidelberg University, 2008 Research Interests : His research spans stochastic homogenization, partial differential equations (PDEs), numerical analysis, and material modeling. He develops methods for multiscale problems in porous media, plasticity, and fracture mechanics, with applications to battery aging, geology, and phase separation. Grants & Projects : Third-party funded projects: SPP 2256 (Fractal and Stochastic Homogenization), Math+ project on battery aging dynamics Teaching : Recent courses include Nonlinear Analysis at TU Munich, Homogenization Theory, and Analysis for Engineers. Labs & Collaborations : Leads the HighVoronoi.jl project for high-dimensional Voronoi diagram computations and collaborates with researchers in applied mathematics and computational science.
Emin Semih Perdahcioglu is an Assistant Professor in Nonlinear Solid Mechanics at the University of Twente. His research focuses on computational modeling of material behavior, including microstructural changes, crystal plasticity, and fracture mechanics in advanced materials. He holds a PhD from the University of Twente (2008) and degrees from Middle East Technical University (Master, 2003; Bachelor, 2000). Key research areas include: Mechanically induced martensitic transformation and TRIP effect Gradient-enhanced crystal plasticity modeling Formability and fracture in advanced high-strength steels Analytical homogenization techniques for multiphase materials His recent work emphasizes robust computational methods for crystal plasticity, including finite element modeling and rate-independent approaches. He has supervised 4 academic works and actively contributes to conferences, organizing events like the Forming Technology Forum.
Prof. Dr. Winnifried Wollner is a Professor of Optimization at the University of Hamburg's Department of Mathematics, within the Faculty of Mathematics, Computer Science and Natural Sciences. His research focuses on optimization with partial differential equations (PDEs), numerical methods for PDEs, and computational mechanics, particularly in the context of shape optimization and fracture mechanics. He holds a PhD from Heidelberg University (2010) and has held academic positions at TU Darmstadt and the University of Hamburg. He is actively involved in editorial boards of journals like the SIAM Journal on Control and Optimization and the OPTPDE Problem Collection. His work emphasizes adaptive numerical methods, phase-field fracture modeling, and optimization under constraints. Awards include the 2014 Teacher of the Summer Term award at Hamburg. He teaches courses on optimization, numerical methods, and PDE-constrained problems, and leads research projects funded by DFG and the Excellence Cluster CLICCS. Professional roles include membership in the MIN Faculty Council, the Department's Equal Opportunities Team, and leadership of the GAMM Student Chapter. His research spans interdisciplinary applications in engineering and computational science, with over 66 publications in top journals. Current projects include the DFG Research Training Group 2583 on fluid dynamics and optimization, and the SPP 1962 project on phase-field fracture simulation.
John H. Cushman is a University Distinguished Professor at Purdue University, holding appointments in both the Department of Earth and Atmospheric Sciences and the Department of Mathematics . With a Ph.D. in Mathematics and Soil Physics from Iowa State University (1978), his career spans over four decades of research and teaching. Educational Background: B.S. in Mathematics (1975), Iowa State University M.S. in Mathematics and Soil Physics (1976), Iowa State University Ph.D. in Mathematics and Soil Physics (1978), Iowa State University Cushman’s research focuses on the physics of fluids in porous media across scales from picoseconds/angstroms to years/miles. Key areas include species separation in micropores , non-Markovian dispersion theories , swelling biopolymer systems , environmental contaminant transport , and gene transconjugation in microbial populations . Recent work explores Lagrangian trajectory analysis and micromorphic continuum theories for plate tectonics. Publication Trends show expertise in stochastic hydrology , anomalous diffusion , and multiscale modeling . His articles frequently bridge statistical mechanics , porous media physics , and environmental applications , with a strong emphasis on Levy processes , nonlocal transport , and swelling systems . Awards and Recognitions: University Distinguished Professor (2005) Fellow, American Geophysical Union (1996) Herbert Newby McCoy Award (1995) Graduate Mentor Award (2006) Cushman has advised numerous graduate students (e.g., M. Park , N. Kleinfelter , M. Moroni ) and received continuous NSF and institutional research support . His work impacts environmental engineering , nanofluidics , and geophysics , with applications to groundwater contamination , food drying , and biomedical systems .
Eric Webb is a Professor of Biological Sciences at the University of Southern California (USC). He holds a Ph.D. in Bacteriology from the University of Wisconsin-Madison (1999) and a B.S. in Microbiology from The Ohio State University (1994). His postdoctoral training includes work at the Woods Hole Oceanographic Institution (1999–2001). Before joining USC, he held positions at Woods Hole Oceanographic Institution, including Assistant Scientist (2001–2006) and Associate Scientist without Tenure (2006). At USC, he advanced from Assistant Professor (2006–2011) to Associate Professor (2011–present) and ultimately full Professor. His research focuses on marine cyanobacterial physiology, ecology, and genomics, with emphasis on iron (Fe) scavenging strategies, nutrient limitation, and microbial interactions. Key topics include Fe acquisition mechanisms in cyanobacteria like Trichodesmium and Crocosphaera , molecular diagnostics of nutrient stress, and the role of heterotrophic bacteria in Fe cycling. His work integrates biochemical, genetic, and genomic approaches to understand global biogeochemical processes. Webb has led collaborative projects on nitrogen fixation dynamics, climate change impacts, and the biogeography of diazotrophs. His lab’s studies on microbial community interactions and metabolite production have advanced understanding of oceanic nutrient cycles and ecosystem health. He serves on editorial boards for journals like Environmental Microbiology Reports and ISME Journal . His research also addresses emerging environmental issues, such as metal contamination in coastal waters and the role of B vitamins in marine systems. Webb’s interdisciplinary approach bridges microbiology, oceanography, and genomics, making significant contributions to marine biogeochemistry.
Omid Shahrokhi is a Research Fellow at Heriot-Watt University, affiliated with the School of Engineering & Physical Sciences and the Institute of Mechanical, Process & Energy Engineering. His research focuses on pore-scale dynamics, multiphase fluid flow, and geological storage mechanisms, particularly in the context of CO2 and hydrogen storage. He specializes in experimental and numerical methods such as micro-CT imaging, pore-scale modeling, and wettability analysis. Key research interests include fluid displacement kinetics, wettability impacts on porous media, and the optimization of storage systems. His work contributes to UN Sustainable Development Goals, particularly in clean energy and climate action. Collaborations involve advanced imaging techniques and interdisciplinary projects on fluid-rock interactions. Shahrokhi’s articles explore topics like ganglion dynamics, hydrogen storage analogs, and salt precipitation effects. He co-leads research teams investigating microfluidic devices and has contributed to datasets on fluid connectivity and displacement patterns.
Dr. Megan Farquhar is a Lecturer at the School of Mathematical Sciences, Faculty of Science, Queensland University of Technology (QUT). She holds a PhD in Cardiac Modelling with Fractional Calculus from QUT (2018). Her research focuses on applied mathematics, numerical methods, and computational modeling in biomedical contexts, particularly in cardiac physiology and tissue engineering. She specializes in GPU-accelerated algorithms, fractional calculus applications, and modeling cardiac fibrosis/ischaemia using advanced computational techniques. Education: PhD in Applied Mathematics (QUT, 2018) Her research interests span computational cardiology, biomedical engineering, and numerical analysis. She has developed models for cardiac tissue dynamics and diffusion processes using graph theory and fractional differential equations. Her work integrates high-performance computing to address complex biomedical challenges. Publications highlight contributions to cardiac fibrosis modeling, diffusional kurtosis mapping, and GPU-based numerical methods. Her research bridges mathematical theory with practical biomedical applications, advancing computational tools for medical diagnostics and treatment planning.
Renato G. Bettiol is an Associate Professor in the Department of Mathematics at Lehman College and a doctoral faculty member at the Graduate Center of The City University of New York (CUNY). His research focuses on Differential Geometry, Geometric Analysis, and Partial Differential Equations. He is a co-organizer of the CUNY Geometric Analysis seminar and has received prestigious awards including an NSF CAREER Award (2022-2027) and a CUNY Feliks Gross Award (2023). B.Sc. and M.Sc. from University of São Paulo (2008, 2010) Ph.D. from University of Notre Dame (2015) under Karsten Grove Hans Rademacher Instructor at University of Pennsylvania (2015-2018) Postdoctoral work at Max Planck Institute for Mathematics (2016) Joined CUNY as Assistant Professor (2018), promoted to Associate Professor (2023) Bettiol's research centers on two main areas: Curvature and Topology, and Geometric Analysis. In Curvature and Topology, he investigates how curvature constraints affect global shape, working on problems like the Hopf questions and Bott conjecture. He develops innovative approaches using the curvature operator R: ∧²TM → ∧²TM, particularly employing the Finsler-Thorpe trick in dimension 4. His work connects to Convex Algebraic Geometry through spectrahedral shadows, enabling computational approaches to curvature problems. In Geometric Analysis, he applies bifurcation theory to prove existence of multiple solutions to problems like the Yamabe problem and minimal surface equations, often analyzing degenerations of symmetric solutions. His recent publications show a strong focus on minimal surfaces in symmetric spaces, curvature operators in four dimensions, bifurcation phenomena, and connections between curvature conditions and topological constraints. The work demonstrates increasing sophistication in combining geometric, topological, and computational approaches to tackle longstanding problems in Riemannian geometry. NSF CAREER Award (2022-2027) CUNY Feliks Gross Award (2023) Bettiol serves as a doctoral advisor at the CUNY Graduate Center and has mentored numerous students through his research collaborations. His current research is supported by the NSF CAREER Award DMS-2142575, following previous support from NSF Award DMS-1904342. He actively collaborates with researchers worldwide, particularly with Paolo Piccione, Marcelo Kummer, and Ricardo Mendes. As co-organizer of the CUNY Geometric Analysis seminar, he fosters a vibrant research community focused on weekly discussions of cutting-edge developments in the field. Bettiol is deeply involved in the CUNY Geometric Analysis research group, which meets weekly at the Graduate Center. His work bridges pure mathematics with computational approaches, as evidenced by his participation in workshops like the Computational Geometric Analysis workshop. He maintains active collaborations with institutions including the Max Planck Institute, University of Pennsylvania, and various international research centers, contributing to a dynamic research environment that connects theoretical insights with computational methods.
Prof. Dr. Abdullah Gedikli is a Professor in the Civil Engineering Department at Istanbul Technical University's Faculty of Construction. He holds a PhD in Civil Engineering from ITU and has extensive experience in academic roles, progressing from Assistant Professor (1997–2007) to Associate Professor (2008–2013) before becoming a full Professor in 2013. His research focuses on earthquake engineering, numerical modeling, and solid mechanics, with notable contributions to structural analysis, geotechnical systems, and masonry behavior. Education: PhD in Civil Engineering, Istanbul Technical University (1992–1996) MSc in Structural Engineering (Thesis), Istanbul Technical University (1987–1989) BSc in Civil Engineering, Mediterranean University (1981–1985) His research interests span seismic vulnerability assessment of infrastructure, numerical simulations of masonry and pipeline systems, and experimental studies on erosion and sediment transport. Over 30 years, he has supervised 20+ theses, including works on seismic isolation, masonry wall behavior, and soil-structure interaction. His articles address critical civil engineering challenges such as earthquake-resistant design, fluid-structure interaction in storage tanks, and hydrological modeling. Notably, his work combines theoretical modeling with experimental validation, contributing to both academic and practical solutions for infrastructure resilience. He actively teaches courses like statics and structural analysis, reflecting his commitment to both research and education.
