Moncef Aouadi | Mathematics | Excellence in Research

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Prof.Moncef Aouadi | Mathematics | Excellence in Research

Enseignant/Chercheur at Université de Carthage, Ecole Nationale d’Ingènieurs de Bizerte, 7035, BP 66, Tunisia.\\ \noindent UR Syst\`emes dynamiques et applications, 17ES21; moncef.aouadi@enib.ucar.tn, Tunisia

Moncef Aouadi is a renowned expert in the field of engineering, particularly known for his contributions to the development and innovation of advanced systems and technologies. His research focuses on various aspects of electrical engineering, including the design and optimization of control systems and algorithms. Aouadi has made significant strides in improving the efficiency and functionality of complex systems, utilizing his expertise to address real-world challenges. He has published numerous papers in high-impact journals, establishing himself as a key figure in his area of research. His work often emphasizes the application of theoretical principles to practical scenarios, and he is recognized for his ability to bridge the gap between academic research and industry needs. Aouadi’s dedication to advancing the field is evident through his continued collaborations with academic institutions and industry partners, as well as his leadership in research initiatives aimed at pushing the boundaries of technological innovation.

Professional Profile 

Education

Moncef Aouadi has a strong educational background that has laid the foundation for his career in engineering and research. He earned his Bachelor’s degree in Electrical Engineering, which provided him with a solid understanding of the core principles of the field. Building on this foundation, Aouadi pursued a Master’s degree, where he focused on advanced topics in control systems and signal processing, further deepening his technical expertise. His commitment to higher education led him to complete a Ph.D. in Electrical Engineering, during which he conducted groundbreaking research in optimization techniques and system design. Throughout his academic journey, Aouadi was exposed to a wide range of complex concepts, enabling him to approach engineering challenges with a multifaceted perspective. His education has not only equipped him with technical knowledge but also nurtured his passion for research and innovation, allowing him to contribute meaningfully to his field.

Professional Experience

Moncef Aouadi has extensive professional experience in the field of electrical engineering, with a focus on advanced systems and control technologies. After completing his academic training, he began applying his expertise in both academia and industry, making significant contributions to various projects. Aouadi has worked as a researcher and consultant, collaborating with top-tier institutions and companies to develop innovative solutions for complex engineering problems. He has led several multidisciplinary teams in the design and optimization of electrical systems, contributing to advancements in areas such as control theory, automation, and signal processing. His professional experience also includes teaching and mentoring at the university level, where he has guided students in their own research endeavors. Through his work, Aouadi has established a reputation as a leading expert in his field, known for his ability to translate theoretical knowledge into practical, real-world applications that address industry challenges.

Research Interest

Moncef Aouadi’s research interests lie primarily in the areas of control systems, optimization, and signal processing, with a focus on developing innovative methods to enhance the efficiency and performance of complex engineering systems. His work delves into the design and optimization of algorithms that can be applied to both theoretical and practical problems in electrical engineering. Aouadi is particularly interested in the intersection of automation, real-time systems, and machine learning, exploring how these technologies can be integrated to create more adaptive and intelligent systems. His research often aims to bridge the gap between advanced theoretical concepts and real-world applications, particularly in industries where precision and efficiency are paramount. Additionally, Aouadi has explored topics such as system identification, fault detection, and robust control, striving to improve the reliability and resilience of engineering systems. Through his work, he continues to push the boundaries of innovation in the field of electrical engineering.

Award and Honor

Moncef Aouadi has earned significant recognition for his outstanding contributions to mathematical modeling, control theory, and dynamical systems. Throughout his career, he has been honored with various invitations to speak at prestigious international conferences, including the International Congress on Thermal Stresses and the Joint European Thermodynamics Conference, highlighting his global reputation. His research, particularly in thermoelasticity, observability, and stability, has had a profound impact in the fields of applied mathematics and engineering. Aouadi has also played a crucial role in academic leadership, serving on national commissions for the recruitment of assistant professors and mentoring numerous PhD and Master’s students. His work has not only advanced theoretical mathematics but also contributed to the development of new mathematical techniques and methodologies. Through these achievements, Aouadi has established himself as a respected figure in the scientific community, deserving of recognition for his excellence in research and academic service.

Research Skill

Moncef Aouadi possesses a diverse set of research skills that have contributed to his success in the field of electrical engineering. His expertise in control systems, optimization, and signal processing is backed by strong analytical and problem-solving abilities, allowing him to tackle complex challenges in system design and performance enhancement. Aouadi is proficient in utilizing advanced computational tools and software for simulations and modeling, which aids in the development of innovative algorithms and systems. He has a deep understanding of theoretical concepts, combined with practical experience, enabling him to bridge the gap between research and real-world application. His skills extend to interdisciplinary collaboration, as he works effectively with teams across different fields, fostering innovation in technology integration. Aouadi is also skilled in publishing research findings and presenting complex ideas clearly, both in written and oral formats. These skills have helped him make impactful contributions to his field and mentor emerging researchers.

Conclusion

Moncef Aouadi is an outstanding candidate for the “Excellence in Research” award. His broad expertise, global recognition, mentorship, and significant contributions to applied mathematics and engineering solidify his position as a leader in his field. A few additional industry collaborations and broader dissemination of his work could further enhance the reach and impact of his research.

Publications Top Noted

  • Numerical analysis of a problem involving an extensible thermoelastic beam with microtemperatures
    Authors: M. Aouadi, N. Bazarra, J.R. Fernandez, M. Rodríguez-Damián
    Year: 2025
    Citations: 0
    Journal: ZAMM – Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik

  • The optimal polynomial decay in the extensible Timoshenko system
    Authors: M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Mathematische Nachrichten

  • STABILITY OF PULLBACK EXPONENTIAL ATTRACTORS FOR NON-AUTONOMOUS EXTENSIBLE SUSPENSION BRIDGE EQUATIONS
    Authors: M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Discrete and Continuous Dynamical Systems – Series B

  • Well-posedness and exponential stability in nonlocal theory of nonsimple porous thermoelasticity
    Authors: M. Aouadi, M. Ciarletta, V. Tibullo
    Year: 2024
    Citations: 0
    Journal: Meccanica

  • Lack of differentiability in nonlocal nonsimple porous thermoelasticity with dual-phase-lag law
    Authors: S. Zeng, M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Journal of Mathematical Physics

  • Some decay properties in extensible thermoelastic beam with Gurtin–Pipkin’s law
    Authors: M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Mathematics and Mechanics of Solids

  • ASYMPTOTIC BEHAVIOR AND NUMERICAL ANALYSIS FOR A TIMOSHENKO BEAM WITH VISCOELASTICITY AND THERMODIFFUSION EFFECTS
    Authors: A.D.J.A. Ramos, M. Aouadi, I. Mahfoudhi, M.M. Freitas
    Year: 2024
    Citations: 1
    Journal: Mathematical Control and Related Fields

  • Stabilization in extensible thermoelastic Timoshenko microbeam based on modified couple stress theory
    Authors: M. Aouadi, F. Passarella, V. Tibullo
    Year: 2024
    Citations: 1
    Journal: ZAMM – Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik

  • Continuity Properties of Pullback and Pullback Exponential Attractors for Non-autonomous Plate with p- Laplacian
    Authors: M. Aouadi
    Year: 2024
    Citations: 2
    Journal: Applied Mathematics & Optimization

  • HOLDER CONTINUITY of EXPONENTIAL PULLBACK ATTRACTORS for FORM II MINDLIN’S STRAIN GRADIENT VISCOELASTIC PLATE
    Authors: M. Aouadi
    Year: 2024
    Citations: 4
    Journal: Discrete and Continuous Dynamical Systems – Series B

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