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Assoc. Prof. Dr. Issam Dawoud | Mathematics | Best Researcher Award

Associate Professor of Statistics at Al-Aqsa University, Palestine, State of

Assoc. Prof. Dr. Issam Dawoud is an accomplished academic and researcher in the field of statistics, currently serving as an Associate Professor at Al-Aqsa University, Palestine. He holds a Ph.D. in Statistics from Cukurova University, Turkey, and has received multiple honors throughout his academic career, including distinction with honors in his degrees. Dr. Dawoud’s research focuses on regression models, statistical modeling, time series analysis, and forecasting methods, with numerous publications in high-impact journals. His contributions include developing innovative estimators that address complex statistical challenges such as multicollinearity and autocorrelation. His work has earned international recognition, including Outstanding Article Awards for his research in applied mathematics and statistics. Dr. Dawoud is also a collaborative researcher, co-authoring papers with scholars from around the world. His expertise and impactful contributions to the field of statistics have established him as a leading figure in statistical research and methodology.

Professional Profile 

Education

Assoc. Prof. Dr. Issam Dawoud has a solid educational background in statistics, beginning with his undergraduate studies in Mathematics/Statistics at the Islamic University in Palestine, where he graduated with distinction in 2009. He then pursued a Master’s degree in Statistics at Al-Azhar University, Palestine, completing it in 2012 with distinction. Dr. Dawoud continued his academic journey at Cukurova University in Turkey, where he earned a Ph.D. in Statistics in 2016. His doctoral dissertation focused on “Predictions in Linear Models,” and he graduated with honors in both his Ph.D. proficiency and preparation courses. Dr. Dawoud also received a Turkish government scholarship for his Ph.D. studies, further highlighting his academic excellence. Throughout his education, he demonstrated exceptional performance, earning distinctions in various courses, including a Turkish language course, showcasing his dedication and commitment to advancing his knowledge in the field of statistics.

Professional Experience

Assoc. Prof. Dr. Issam Dawoud has built a distinguished professional career in the field of statistics. He currently serves as an Associate Professor of Statistics at Al-Aqsa University in Gaza, Palestine, where he has contributed significantly to both teaching and research. Dr. Dawoud has extensive experience in academic leadership, mentoring graduate students, and designing statistical courses that reflect his expertise in regression models, time series analysis, and forecasting methods. Before his current position, he completed his Ph.D. at Cukurova University, Turkey, and has since been involved in various research projects, publishing numerous articles in high-impact journals. He has collaborated internationally with scholars from various institutions, further strengthening his academic network. His professional work extends beyond academia, with a focus on applying statistical methodologies to real-world problems, particularly in multivariate analysis and statistical modeling. Dr. Dawoud’s contributions to the field have earned him several prestigious awards and recognitions.

Research Interest

Assoc. Prof. Dr. Issam Dawoud’s research interests lie primarily in the fields of regression models, statistical modeling, time series analysis, forecasting methods, multivariate statistical analysis, and mathematical statistics. He focuses on developing innovative statistical methodologies, particularly in the area of regression analysis, to address complex issues such as multicollinearity, autocorrelation, and outliers. Dr. Dawoud has made significant contributions to the development of new estimators and techniques, including the Dawoud-Kibria Estimator, which has practical applications in diverse areas such as data analysis and predictive modeling. His research also delves into improving the accuracy of forecasting models and statistical simulations. In addition to his theoretical work, Dr. Dawoud is dedicated to applying his findings to real-world problems, with the goal of advancing statistical methods in various domains. His work reflects a deep commitment to enhancing the understanding and application of statistical analysis across numerous disciplines.

Award and Honor

Assoc. Prof. Dr. Issam Dawoud has received numerous prestigious awards and honors throughout his academic career, reflecting his outstanding contributions to the field of statistics. He was honored with the Outstanding Article Award for his papers titled “Dawoud-Kibria Estimator for Beta Regression Model: Simulation and Application” and “Generalized Kibria-Lukman Estimator: Method, Simulation and Application,” both published in Frontiers in Applied Mathematics and Statistics in 2022. Dr. Dawoud’s academic excellence is further demonstrated by his distinction with honors in several of his academic programs, including the Ph.D. proficiency exam and preparatory courses at Cukurova University, Turkey, where he graduated with a perfect score. He was also awarded the Turkish government scholarship for his Ph.D. studies, underscoring his exceptional academic abilities. Additionally, Dr. Dawoud received a scholarship for excellent students during his undergraduate studies at the Islamic University in Palestine, further showcasing his early academic promise and dedication.

Conclusion

Dr. Issam Dawoud demonstrates exceptional research capabilities and accomplishments in statistics. His extensive publication record, consistent recognition through awards, and contributions to statistical theory and methodology make him a strong candidate for the Best Researcher Award. By expanding the visibility of his work and exploring emerging research areas, Dr. Dawoud could further enhance his impact on the global academic and research community. Based on his current achievements, he stands out as a deserving recipient of this prestigious award.

Publications Top Noted

  • Robust Dawoud–Kibria estimator for handling multicollinearity and outliers in the linear regression model
    Authors: I. Dawoud, M.R. Abonazel
    Year: 2021
    Citations: 53
  • A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model
    Authors: I. Dawoud, B.M.G. Kibria
    Year: 2020
    Citations: 49
  • On the performance of the Poisson and the negative binomial ridge predictors
    Authors: S. Kaçıranlar, I. Dawoud
    Year: 2018
    Citations: 40
  • A new ridge-type estimator for the gamma regression model
    Authors: A.F. Lukman, I. Dawoud, B.M.G. Kibria, Z.Y. Algamal, B. Aladeitan
    Year: 2021
    Citations: 33
  • Dawoud–Kibria estimator for beta regression model: simulation and application
    Authors: M.R. Abonazel, I. Dawoud, F.A. Awwad, A.F. Lukman
    Year: 2022
    Citations: 28
  • Development of robust Özkale–Kaçiranlar and Yang–Chang estimators for regression models in the presence of multicollinearity and outliers
    Authors: F.A. Awwad, I. Dawoud, M.R. Abonazel
    Year: 2021
    Citations: 28
  • Developing robust ridge estimators for Poisson regression model
    Authors: M.R. Abonazel, I. Dawoud
    Year: 2022
    Citations: 25
  • Comparative study on forecasting accuracy among moving average models with simulation and PALTEL stock market data in Palestine
    Authors: S. Safi, I. Dawoud
    Year: 2013
    Citations: 18
  • A new biased regression estimator: Theory, simulation and application
    Authors: I. Dawoud, A.F. Lukman, A.R. Haadi
    Year: 2022
    Citations: 17
  • New Two-Parameter Estimators for the Logistic Regression Model with Multicollinearity
    Authors: F.A. Awwad, K.A. Odeniyi, I. Dawoud, Z. Yahya, M.R. Algamal, …
    Year: 2022
    Citations: 17
  • Generalized Kibria-Lukman Estimator: Method, Simulation, and Application
    Authors: I. Dawoud, M.R. Abonazel, F.A. Awwad
    Year: 2022
    Citations: 16
  • Modeling Palestinian COVID-19 cumulative confirmed cases: A comparative study
    Authors: I. Dawoud
    Year: 2020
    Citations: 16
  • New robust estimators for handling multicollinearity and outliers in the Poisson model: methods, simulation, and applications
    Authors: I. Dawoud, F.A. Awwad, E. Tag Eldin, M.R. Abonazel
    Year: 2022
    Citations: 12
  • The optimal extended balanced loss function estimators
    Authors: S. Kaçiranlar, I. Dawoud
    Year: 2018
    Citations: 12
Issam Dawoud | Mathematics | Best Researcher Award

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