Issam Dawoud | Mathematics | Best Researcher Award

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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

KAVIARASAN BOOMIPALAGAN | Mathematics | Young Scientist Award

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Assist. Prof. Dr. KAVIARASAN BOOMIPALAGAN | Mathematics | Young Scientist Award

Assistant Professor At KL Deemed to be University,India

Dr. Kaviarasan Boomipalan is an exceptional young researcher with an impressive academic background, outstanding research output, and significant recognition in the field of control theory and mathematics. His work on multi-agent systems and time-delay systems has contributed to significant advancements in these areas. His extensive postdoctoral experience and contributions to the academic community as a reviewer and editor highlight his dedication and expertise.

Profile

Scopus

🎓 Education

User holds a Doctor of Philosophy (Ph.D.) in Control Theory, Mathematics from Anna University, Chennai, India, which they completed in 2018. Their thesis was titled “Studies on Consensus Analysis of Multi-Agent Systems with Time-Varying Delay.” They also earned a Master of Philosophy (M.Phil.) in Mathematics from Bharathiar University, Coimbatore, India, in 2014, and a Master of Science (M.Sc.) in Mathematics from the same institution in 2012, where they graduated with a percentage of 81.67%. Their Bachelor of Science (B.Sc.) in Mathematics was completed at Vivekananda College, Madurai Kamaraj University, Madurai, India, in 2010, where they achieved a percentage of 91.44%.

💼 Experience 

User has accumulated a total of 6 years of teaching and research experience after completing their Ph.D. They are currently serving as an Assistant Professor in the Department of Mathematics at Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India, since July 2024. Prior to this, they held several postdoctoral research positions at Chungbuk National University, South Korea, from 2018 to 2024, including roles under the Brain Korea 21 Program and at the Research Institute of Green Energy.

🏆 Awards and Honors 

User has been ranked among the top 2% of scientists in the world by Elsevier and Stanford University in 2021 and 2024, specifically in the fields of Engineering and Industrial Engineering & Automation. They are a life member of the Indian Mathematical Society (IMS) and the Indian Society of Industrial and Applied Mathematics (ICIAM). They are also a member of the Institution of Engineering and Technology (IET), the Internet Society (ISOC), and the International Association of Engineers (IAENG).

🔬 Research Focus

User has received several prestigious research grants, including ICIAM grants for attending international congresses, as well as awards for their outstanding research contributions from Chungbuk National University.

🏆Conclusion 

Dr. Kaviarasan is undoubtedly a strong candidate for the Research for Young Scientist Award. His research productivity, international recognition, and contributions to both academia and the scientific community are noteworthy. Focusing on expanding the application of his work and further mentoring young scientists could make him an even more influential figure in his field.

Publication:

  • “Polynomial inequality-based consensus pinning control approach to time-delayed second-order multi-agent systems via betweenness centrality”
    • Authors: Lee, Y.-G., Kaviarasan, B., Park, M.-J., Kwon, O.-M.
    • Published: 2025, Communications in Nonlinear Science and Numerical Simulation
    • Focus: This paper discusses a consensus pinning control approach that utilizes polynomial inequalities to address time-delayed second-order multi-agent systems, incorporating betweenness centrality for better efficiency in achieving consensus.

 

  • “Distributed Bipartite Consensus of Multi-Agent Systems via Disturbance Rejection Control Strategy”
    • Authors: Manickavalli, S., Parivallal, A., Kavikumar, R., Kaviarasan, B.
    • Published: 2024, Mathematics
    • Focus: A disturbance rejection control strategy for achieving distributed bipartite consensus in multi-agent systems. This method improves the stability and performance of the system under disturbances.

 

  • “Imperfect premise matching finite-time filter design for continuous-time Takagi–Sugeno fuzzy systems”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Sakthivel, R.
    • Published: 2024, Journal of the Franklin Institute
    • Focus: This work presents a finite-time filter design approach for continuous-time Takagi–Sugeno fuzzy systems with imperfect premise matching.

 

  • “Dissipative Constraint-Based Saturation Control for Fuzzy Markov Jump Systems Within a Finite-Time Interval”
    • Authors: Kavikumar, R., Kaviarasan, B., Kwon, O.-M., Sakthivel, R.
    • Published: 2024, International Journal of Fuzzy Systems
    • Focus: The paper focuses on a dissipative constraint-based saturation control approach for fuzzy Markov jump systems, ensuring stability within a finite-time interval.

 

  • “A delay-product-type Lyapunov functional approach for enhanced synchronization of chaotic Lur’e systems using a quantized controller”
    • Authors: Kaviarasan, B., Kavikumar, R., Kwon, O.-M., Sakthivel, R.
    • Published: 2024, AIMS Mathematics
    • Focus: This study uses a delay-product-type Lyapunov functional approach to improve the synchronization of chaotic Lur’e systems using quantized controllers.

 

  • “Stabilization of Periodic Piecewise Time-Varying Systems with Time-Varying Delay under Multiple Cyber Attacks: An Augmented Lyapunov Functional Approach”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Sakthivel, R.
    • Published: 2024, IEEE Transactions on Cybernetics
    • Focus: This paper addresses the stabilization of periodic piecewise time-varying systems with time-varying delays in the presence of multiple cyber attacks.

 

  • “Event-triggered finite-time admissibilization of bio-economic singular semi-Markovian jump fuzzy systems”
    • Authors: Kavikumar, R., Kaviarasan, B., Kwon, O.-M., Sakthivel, R.
    • Published: 2023, Journal of the Franklin Institute
    • Focus: This paper explores the event-triggered finite-time admissibilization of bio-economic singular semi-Markovian jump fuzzy systems.

 

  • “Combined H∞ and anti-disturbance control for semi-Markovian jump systems via a nonlinear disturbance observer”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Lee, S., Sakthivel, R.
    • Published: 2023, International Journal of Robust and Nonlinear Control
    • Focus: The paper combines H∞ and anti-disturbance control strategies for semi-Markovian jump systems, leveraging a nonlinear disturbance observer to enhance performance.

 

  • “Antidisturbance Control Design for Interval Type-2 Fuzzy Stochastic Systems With Input Quantization”
    • Authors: Kavikumar, R., Kwon, O.-M., Kaviarasan, B., Sakthivel, R.
    • Published: 2023, IEEE Transactions on Fuzzy Systems
    • Focus: The authors present antidisturbance control design techniques for interval type-2 fuzzy stochastic systems with input quantization, addressing system stability and robustness.

 

  • “Reduced-order filtering for semi-Markovian jump systems against randomly occurring false data injection attacks”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Sakthivel, R.
    • Published: 2023, Applied Mathematics and Computation
    • Focus: This article discusses reduced-order filtering techniques for semi-Markovian jump systems to protect against false data injection attacks.