جست‌وجوی استاد و پژوهشگر

Ireneusz Dąbrowskiمشاهده پروفایل

استاد

• Monetary Economics
• Housing Market Analysis
• Real Estate Economics
• +۳ مورد دیگر

Professor Ireneusz Dąbrowski serves as Head of the Department of Monetary Economics and holds the rank of university professor at the Warsaw School of Economics (SGH). He is additionally a member of the Scientific Council for the discipline of economics and finance, reflecting his significant institutional influence. His research spans Monetary Economics , Housing Market Dynamics , and Financial Technology , employing advanced econometric techniques like wavelet coherence analysis and time-frequency methods. Recent work critically examines ethical implications of AI in finance and cyclical patterns in real estate markets. Analysis of his 2020-2025 publications reveals dominant focus on Polish housing market seasonality, developer-individual market differentials, and EU fund impacts on regional development. His work consistently bridges theoretical economic modeling with practical policy applications, particularly regarding sustainable real estate and banking-FinTech competition. Professor Dąbrowski has supervised graduate students and participated in research projects analyzing sustainable development frameworks, though specific student names and project details remain unlisted in available materials. His methodological rigor in time-series analysis establishes him as a key contributor to empirical economic research in Central Europe.

Robert B Gardnerمشاهده پروفایل

استاد

• Real Analysis
• Wavelets
• Markov-Bernstein Inequalities
• +۳ مورد دیگر

Robert B Gardner is a Professor in the Department of Mathematics and Statistics at East Tennessee State University's School of Science, Engineering, and Math. He serves as the Mathematics and Statistics Undergraduate Research Honors Program Coordinator and is actively involved in both research and innovative teaching methods. Dr. Gardner's research focuses on real analysis, wavelets, and Markov-Bernstein inequalities for polynomials. His scholarly work includes co-authoring significant texts such as Real Analysis with an Introduction to Wavelets (2005) and Extremal Problems and Inequalities of Markov-Bernstein Type for Algebraic Polynomials (2022). He has also co-edited Logic, Probability and Science (2000) with Niall Shanks. Known for his creative teaching approaches, Dr. Gardner developed the S.H.E.M.P. Seminar (Seminar on the History and Exploration of Math Problems), which uses references to the Three Stooges to make mathematics more engaging. His teaching resources include 'Dr. Bob's Online University' with video lectures and extensive course materials available on his website. Dr. Gardner maintains active involvement in undergraduate education through the Mathematics and Statistics Undergraduate Research Honors Program. His website shows ongoing activities through 2025, including celebrations of his vintage Volkswagen vehicles, indicating his continued active engagement with students and the academic community.

John P. Makrisمشاهده پروفایل

استاد

• Seismoelectromagnetism
• Earthquake Prediction
• Magnetotellurics
• +۶ مورد دیگر

Professor John P. Makris is a distinguished academic at the Hellenic Mediterranean University where he serves in the Department of Electronics Engineering. With over 25 years of experience in geophysics and seismology, Professor Makris has established himself as a leading researcher in earthquake prediction and seismic monitoring, particularly in the seismically active Hellenic Arc region of Greece. His academic journey began with a BSc in Physics (1992) followed by a PhD in Applied Geo-Electromagnetism (1997), both from the National and Kapodistrian University of Athens (NKUA). Professor Makris has held significant leadership roles including Head of the Department of Electronics Engineering (2008-2012) and Head of the Institute of Natural Resources and Natural Hazards (2005-2015). Professor Makris's research spans several interconnected domains: Seismoelectromagnetic phenomena and earthquake prediction through VAN method Magnetotelluric studies of the Hellenic subduction zone Development of seismic monitoring networks (HC-SNC) Structural health monitoring systems for earthquake zones Integration of machine learning and IoT technologies with seismic monitoring His recent publications (2024) demonstrate a strategic evolution toward incorporating modern computational methods with traditional geophysical approaches. This work focuses on laboratory studies of rock fracturing, smart sensor networks, and analysis of recent seismic sequences in Central Crete. Professor Makris has secured significant research funding throughout his career, with '25+ research projects (funding ~4.5M€)'. His work has resulted in '60+ articles in refereed journals and conference proceedings, 7 monographs' with 815 citations according to ResearchGate metrics. As supervisor of HC-SNC (2002-2024), Professor Makris has led the development of critical seismic monitoring infrastructure in Crete. His laboratory work bridges theoretical modeling and practical instrumentation development, creating comprehensive research opportunities for students and collaborators.

Johannes Krebsمشاهده پروفایل

استاد

• Topological Data Analysis
• Persistent Homology
• Spatial Statistics
• +۳ مورد دیگر

Prof. Dr. Johannes Krebs holds the Chair of Mathematics - Statistics at the Faculty of Mathematics and Geography, Catholic University of Eichstätt-Ingolstadt since 2021. His academic service includes membership on the editorial board of Statistics , the tenure track board, examination committees for B.Sc. Mathematics and Data Science programs, and the faculty council. His research focuses on topological data analysis, persistent homology, and spatial statistics with applications in stochastic geometry. Funded by Deutsche Forschungsgemeinschaft (KR 4977/2-1 and KR 4977/1-1), his work bridges theoretical statistics with computational topology to develop novel methods for analyzing complex data structures. His methodological contributions span wavelet analysis, functional data, and bootstrap techniques for dependent data. Analysis of his recent publications reveals strong emphasis on topological inference (persistent homology, Betti numbers), spatial statistics, and wavelet methods across multiple high-impact journals including Bernoulli , Annals of Statistics , and Stochastic Processes and their Applications . His work demonstrates consistent innovation in applying topological concepts to statistical problems with theoretical guarantees. Academic service highlights include: Editorial Board Member, Statistics journal Member of Tenure Track Board Examination Committee for B.Sc. Mathematics & Data Science Faculty Council Member His research program is supported by significant DFG funding for projects on Topological Data Analysis (2021-2023) and Dynamic Objects on Random Fields (2017-2020), reflecting sustained contribution to advancing statistical methodology through topological frameworks. He maintains active collaborations with researchers at UC Davis, KU Leuven, and Heidelberg University.