Agnieszka Rutkowska | Nonstationarity Detection | Best Researcher Award

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Assoc. Prof. Dr. Agnieszka Rutkowska | Nonstationarity Detection | Best Researcher Award

Assoc. Prof. Dr. Agnieszka Rutkowska | Nonstationarity Detection – University of Agriculture Cracow, Poland

Dr. hab. Agnieszka Rutkowska, an associate professor at the University of Agriculture in Kraków, Poland, has made significant contributions to applied mathematics and environmental sciences. Her work focuses on integrating statistical methods with hydrological and climatic studies, addressing the impact of climate change and human activity on extreme hydroclimatic events. With a strong academic foundation and extensive research experience, Dr. Rutkowska is a dedicated scholar committed to advancing knowledge in her field.

Professional Profile:

Google Scholar | Scopus

Education:

Dr. Rutkowska holds a Master’s degree in Mathematics from Jagiellonian University, Kraków (1989), a Ph.D. in Automatics from AGH University of Science and Technology, Kraków (2001), and a habilitation in Environmental Protection and Development from the University of Agriculture in Kraków (2017). Her interdisciplinary education has equipped her with the tools to tackle complex problems in environmental and mathematical sciences.

Experience:

Dr. Rutkowska is currently affiliated with the Department of Applied Mathematics at the Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Kraków. Her career includes active participation in international collaborations and projects, addressing issues related to hydrology, climate change, and environmental protection. Her practical applications of statistical and hydrological methods have garnered recognition among peers and institutions worldwide.

Research Interests:

Dr. Rutkowska’s research focuses on hydrological time series, nonstationarity detection, statistical methods, and the impacts of climatic changes on hydrological characteristics. She investigates the temporal and spatial variability of hydroclimatic extreme events, drought indices, precipitation indices, and the anthropogenic impacts on these phenomena. Her expertise lies in bridging theoretical knowledge with practical solutions to contemporary environmental challenges.

Awards:

Dr. Rutkowska has received multiple accolades for her groundbreaking research and academic contributions. Her participation in numerous COST Actions and European research projects reflects her dedication to fostering international cooperation and knowledge exchange. These accolades highlight her impact on the global stage in environmental and mathematical sciences.

Publications:

🌧️ Onderka, M., Rutkowska, A., et al. (2024). Applying a time-varying GEV distribution to correct bias in rainfall quantiles derived from regional climate models. Journal of Hydrology and Hydromechanics. Cited by 12.
❄️ Kochanek, K., Rutkowska, A., et al. (2024). Analysis of changes in the occurrence of ice phenomena in upland and mountain rivers in Poland. PLoS ONE, Vol. 19(7). Cited by 20.
📊 Baran-Gurgul, K., Rutkowska, A. (2023). Spatial Variability of Average Annual and Monthly Minimum River Flow in Poland. Geoinformatica Polonica, 22. Cited by 8.
💧 Rutkowska, A., et al. (2023). Climatic and anthropogenic drivers of zero-flow events in intermittent rivers in Poland. Journal of Water and Land Development, 57. Cited by 15.
🌎 Tramblay, Y., Rutkowska, A., et al. (2021). Trends in flow intermittence for European rivers. Hydrological Sciences Journal, Vol. 66(1). Cited by 22.
🔍 Hernik, J., Noszczyk, T., Rutkowska, A. (2020). Exploring the land use changes in Eastern Poland: statistics-based modeling. Human and Ecological Risk Assessment, 26(1). Cited by 18.
🌿Onyutha, C., Rutkowska, A., et al. (2019). How well do climate models reproduce variability in observed rainfall? Stochastic Environmental Research and Risk Assessment, 33(3). Cited by 25.

Conclusion:

Dr. Agnieszka Rutkowska exemplifies academic excellence and dedication to interdisciplinary research. Her work on hydrological time series and environmental protection contributes significantly to understanding and mitigating the impacts of climate change. As a committed educator, researcher, and collaborator, she continues to inspire peers and students alike, paving the way for innovative solutions to environmental challenges.

Mohamed Eliwa | Mathematical and applied statistics | Best Researcher Award

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Assoc Prof Dr. Mohamed Eliwa | Mathematical and applied statistics | Best Researcher Award

Associate Prof in Mathematical Statistics | Qassim University (Saudi Arabia) – Mansoura University (Egypt) | Saudi Arabia

Short Bio

👨‍🏫 Dr. Mohamed Saber Eliwa, also known as Eliwa, M.S., is a dedicated associate professor specializing in mathematical statistics. He serves in the Department of Mathematics at Mansoura University, Egypt, and the Department of Statistics and Operation Research at Qassim University, Saudi Arabia. Additionally, he holds an honorary research position at the International Telematic University Uninettuno in Italy. His diverse interests encompass calculus, linear algebra, probability distributions, biostatistics, and more.

Profile

SCOPUS

Education

🎓 Dr. Eliwa obtained his Ph.D. in mathematical statistics from Mansoura University, Egypt, in March 2017, under the supervision of Prof. Mir Massom from Ball State University, USA. Prior to this, he completed his pre-doctorate in 2015, his master’s in mathematical statistics and computer science in 2014, his pre-master’s in 2011, and his bachelor’s degree in 2010, all from Mansoura University, achieving “Very Good Honor” with the top rank in his class.

Experience

🔬 Since February 2022, Dr. Eliwa has been an associate professor at Qassim University. He has extensive teaching experience, including part-time online courses at the University of Nizwa, Oman, and various teaching roles at Mansoura University since 2011. He also teaches at the Misr Higher Institute for Commerce and Computers and the Nile Higher Institute for Engineering and Technology in Mansoura.

Research Interest

🔍 Dr. Eliwa’s research interests are broad and include calculus, linear algebra, probability distributions, biostatistics, applied probability, censored and recorded data, reliability analysis, applied statistics, estimation theory, and simulation. His work contributes significantly to both theoretical and applied aspects of these fields.

Awards

🏆 Dr. Eliwa has been recognized for his scientific excellence and international publishing. He is an active member of the Syndicate of Scientists in Mansoura and the Nile Sports Club. His contributions to the field have earned him positions on editorial boards and as a reviewer for numerous prestigious international journals.

Publications

📚 Dr. Eliwa has an extensive list of publications in various high-impact journals. Some notable ones include:

  1. A bivariate probability generator for the odd generalized exponential model: Mathematical structure and data fitting (2024) in Filomat, cited by articles in the same journal.
  2. Modelling veterinary medical data utilizing a new generalized Marshall-Olkin transmuted generator of distributions with statistical properties (2024) in Thailand Statistician.
  3. Different statistical inference algorithms for the new Pareto distribution based on type-II progressively censored competing risk data with applications (2024) in Mathematics.
  4. On q-generalized extreme values under power normalization with properties, estimation methods and applications to COVID-19 data (2024) in REVSTAT-Statistical Journal.
  5. A novel nonparametric statistical method in reliability theory: Mathematical characterization and analysis of asymmetric data in the fields of biological sciences and engineering (2024) in Heliyon.
  6. A discrete extension of the Burr-Hatke distribution: Generalized hypergeometric functions, different inference techniques, simulation ranking with modeling and analysis of sustainable count data (2024) in AIMS Mathematics.
  7. Failure rate, vitality, and residual lifetime measures: Characterizations based on stress-strength bivariate model with application to an automated life test data (2024) in Statistics, Optimization & Information Computing.