Adel Widyan | Mathematics | Best Researcher Award

Published on 01/04/202501/04/2025 by Research Hypothesis

Adel Widyan | Mathematics | Best Researcher Award

Assoc. Prof. Dr Adel Widyan, Qassim University, Saudi Arabia

Assoc. Prof. Dr. Adel Widyan is a distinguished statistician specializing in mathematical statistics, statistical estimation, reliability, regression analysis, and stochastic and fuzzy optimization 📊. With a Ph.D. from Ain Shams University, Cairo (2007), he has made significant contributions to biostatistics, operations research, and multi-criteria decision-making 🤖. His research spans stochastic programming, optimization techniques, and their applications in healthcare and engineering 🏥🔢. With an extensive publication record, including works in top-tier journals, Dr. Widyan has played a pivotal role in advancing statistical methodologies. Currently serving as an Associate Professor at Qassim University, KSA, he has contributed significantly to academic development and quality assurance 📚. His work on decision support systems and institutional accreditation highlights his impact on higher education reforms 🎓. A mentor, researcher, and consultant, Dr. Widyan continues to drive innovation in mathematical modeling and statistical analysis 🚀.

Publication Profile

Google Scholar

Education

Assoc. Prof. Dr. Adel Widyan is a distinguished scholar in mathematical statistics, holding a Ph.D. from Ain Shams University, Cairo, Egypt (2007) 📜, with a dissertation on Multicriterion Optimization in Stochastic and Fuzzy Environment. He earned his Master’s in Statistics from Yarmouk University, Jordan (1989) 🎓, focusing on a simulation study of the Maximum Likelihood Estimate (MLE) of the parameter of the exponential distribution. His academic journey began with a B.Sc. in Statistics from Yarmouk University (1986) 📊. Dr. Widyan’s expertise spans mathematical statistics, optimization, and applied statistical methodologies. His research has made significant contributions to probability, reliability, biostatistics, and stochastic modeling. He is renowned for his groundbreaking work in multi-objective optimization, fuzzy optimization, and statistical decision-making 🤖📈. His extensive publications and innovative approaches have established him as a leading figure in statistical sciences, influencing advancements in both theoretical and applied aspects of the field 📖

Experience

Assoc. Prof. Dr. Adel Widyan is a distinguished academic and researcher with over three decades of experience in academia, research, and statistical analysis 📊. He has been serving as an Associate Professor at Qassim University, KSA, since 2020 🏫, following his tenure as an Assistant Professor (2008–2019) 📚, Lecturer (2000–2007) 🎓, and earlier roles in statistical analysis and instruction. Before joining Qassim University, he worked as a Statistical Analyst in the Ministry of Health Hospitals (1991–2000) 🏥, an Instructor at AlQuds College (1989–1990) 🏛, and a Teaching Assistant at Yarmouk University (1986–1989) 👨‍🏫. His expertise spans academic development, institutional evaluation, and postgraduate curriculum planning. Dr. Widyan has played a pivotal role in integrating statistical analysis into healthcare, significantly contributing to medical research and decision-support systems 📉🏥. His extensive knowledge and experience continue to shape both academic and healthcare sectors, making a lasting impact on education and research.

Awards & Honors

Assoc. Prof. Dr. Adel Widyan is a distinguished researcher and educator, recognized for his outstanding contributions to statistical estimation and optimization 📖. His dedication to mathematical statistics education earned him the Excellence in Teaching Award 🎓, while his pivotal role in developing accreditation policies for higher education institutions led to Institutional Academic Accreditation Recognition 🏛. Dr. Widyan’s research in fuzzy and stochastic optimization has been highly impactful, securing him the Research Excellence Award 📊. His work in biostatistics, particularly in healthcare applications, was honored with the Outstanding Contribution to Biostatistics Award 🏥. His interdisciplinary research has significantly influenced fields such as biostatistics, engineering, and decision sciences. Beyond research, his contributions to institutional accreditation and curriculum development have left a lasting mark on academia 🎖. Dr. Widyan’s dedication to advancing knowledge and education continues to inspire future generations in the field of applied mathematics and statistics. ✨

Research Focus

Dr. Adel Widyan’s research spans mathematical statistics, stochastic and fuzzy optimization, reliability analysis, and regression modeling 📊. His work in multicriterion decision-making integrates statistical estimation and mathematical optimization to solve complex real-world problems 🤖. His research has applications in biostatistics, healthcare analytics, and operational research, contributing to improved decision-making in medicine and engineering 🏥🔬. His contributions to stochastic programming address uncertainty in optimization, enhancing predictive models in various domains. His work on Ramadan fasting and chronic heart failure demonstrates his ability to apply statistical methodologies to medical research, bridging the gap between statistics and healthcare 🎓🏥. Additionally, he has developed new parametric techniques for solving stochastic multicriteria linear programming problems, offering more efficient solutions in computational statistics and optimization 🔢.

Publication Top Notes

Effects of Ramadan fasting on the symptoms of chronic heart failure

Relation between epicardial fat and subclinical atherosclerosis in asymptomatic individuals

Dietary assessment and patient-perspective reasons for poor adherence to diet and exercise post bariatric surgery

Incidence of delirium in the critical care unit and risk factors in the Central Region, Saudi Arabia

Public Awareness Regarding Household Drug Storage, Qassim Region, Saudi Arabia: A Cross-Sectional Study

Chance Constrained Approach for Treating Multicriterion Inventory Model with Random Variables in the Constraints

Effect of bariatric surgery on cardiac function in obese patients: An echocardiographic assessment

Natalja Matsveichuk | Mathematics | Women Researcher Award

Published on 17/01/202517/01/2025 by Research Hypothesis

Natalja Matsveichuk | Mathematics | Women Researcher Award

Assoc. Prof. Dr Natalja Matsveichuk, Belarusian State Agrarian Technical University, Belarus

Assoc. Prof. Dr. Natalja M. Matsveichuk is the Head of the Department at Belarusian State Agrarian Technical University (BSATU). She earned her PhD from the United Institute of Informatics Problems, National Academy of Sciences of Belarus, in 2010, and became an Associate Professor in Mathematics in 2020. With over 110 publications on scheduling, applied mathematics, and operations research, she has a notable h-index of 6. Dr. Matsveichuk has co-authored ten textbooks and contributed significantly to the field. Her research includes studies on differential evolution, scheduling problems, and automated technological processes. 📚🔬📈

Publication Profile

Scopus

Academic Background

Assoc. Prof. Dr. Natalja Matsveichuk holds a PhD from the United Institute of Informatics Problems of the National Academy of Sciences of Belarus. 🎓 Her distinguished academic journey led her to earn the title of Associate Professor in Mathematics, a testament to her dedication and expertise in the field. 🧮 With extensive experience in mathematics, she has contributed significantly to both education and research, shaping the future of her discipline. 🌟 Dr. Matsveichuk’s work continues to inspire students and colleagues alike, reinforcing her position as a respected figure in the academic community. 📚🔬

Research Excellence

Assoc. Prof. Dr. Natalja Matsveichuk is a distinguished academic with over 110 research publications in the fields of scheduling, applied mathematics, operations research, and automated technological processes. Her extensive work has significantly advanced knowledge in these areas, making a profound impact on both theoretical and practical aspects. Through her research, she has demonstrated a strong commitment to solving complex challenges in operations and automation. Dr. Matsveichuk’s contributions continue to shape the future of these disciplines, showcasing her dedication to innovation and excellence in academia. 📚🔬📊🖥️

Innovative Research

Assoc. Prof. Dr. Natalja Matsveichuk is a dedicated researcher focusing on innovation in optimization methods. Her recent publications delve into advanced topics such as differential evolution with novel perturbation strategies, optimal scheduling, and job-shop scheduling with uncertain job durations. These studies aim to solve real-world challenges in operations research and manufacturing systems. Dr. Matsveichuk’s work is a testament to her commitment to applying theoretical solutions to practical problems, driving efficiency and effectiveness in various industries. Her contributions continue to shape advancements in optimization techniques. 🔍📊⚙️💡📅

Recognition and Impact

Assoc. Prof. Dr. Natalja Matsveichuk is a highly influential academic whose research has been widely cited in the academic community. Her work has garnered significant attention and recognition, underscoring the impact of her contributions to her field. Dr. Matsveichuk’s research has led to numerous collaborations with renowned researchers, further amplifying her academic influence. Her impressive citation count is a testament to the relevance and importance of her work. Through her continued excellence in research, she has established herself as a leading figure in her discipline, shaping the direction of future studies. 📚✨🔬👩‍🔬

Research Focus

Assoc. Prof. Dr. Natalja Matsveichuk’s research focuses on optimization and scheduling problems, particularly in contexts involving uncertainty and evolutionary algorithms. Her work delves into differential evolution strategies to enhance diversity and improve parameter settings in optimization processes. She has contributed to job scheduling problems, focusing on minimizing makespan with uncertain durations, and has explored uncertainty measures in scheduling models. Her research integrates mathematical optimization, computational intelligence, and uncertainty analysis, with significant applications in operations research, computational algorithms, and decision-making processes. 🧠🔍📈📊

Publication Top Notes

Diversity enhancement-based Differential Evolution with a novel perturbation strategy

Differential evolution based on individual information parameter setting and diversity measurement of aggregated distribution

OPTIMAL SELECTION AND SCHEDULING OF JOBS WITH UNCERTAIN DURATIONS FOR TWO EMPLOYEES

Schedule execution for two-machine job-shop to minimize makespan with uncertain processing times

Two-machine job-shop scheduling problem to minimize the makespan with uncertain job durations

Rasool Shah | Mathematics | Best Researcher Award

Published on 27/08/202427/08/2024 by Research Hypothesis

Rasool Shah | Mathematics | Best Researcher Award

Dr Rasool Shah, Abdul Wali Khan University Mardan, Pakistan

Based on Dr. Rasool Shah’s background, achievements, and contributions, he seems well-qualified for the Best Researcher Award.

Publication profile

google scholar

Advanced Educational Background

Dr. Shah has a solid educational foundation with a Ph.D. in Mathematics from Abdul Wali Khan University, focusing on advanced techniques in fractional differential equations. His academic training is complemented by an MPhil and MSc, showcasing a deep and broad knowledge base in mathematical sciences.

Extensive Research Contributions

Dr. Shah’s research includes several published papers in high-impact journals such as Frontiers in Physics and Fractal and Fractional. His work primarily revolves around fractional differential equations, a complex and highly specialized area of mathematics. His contributions to the analytical and numerical solutions of fractional-order models demonstrate a significant impact on the field.

Innovative Projects

His projects, such as developing computational methods for fractional models and investigating fractional-order dynamical systems, indicate a strong focus on advancing mathematical techniques and applications in science and engineering.

Professional Engagement

Dr. Shah has been active in the academic community as an invited speaker at conferences and has contributed to notable international conferences. This engagement highlights his role in disseminating knowledge and influencing the field beyond his research.

Diverse Skill Set

His proficiency in various mathematical software (MATLAB, Mathematica, etc.) and his ability to teach a wide range of mathematical courses further underline his versatility and dedication to both research and education.

Recognition and Publications

The variety of his publications, including those on fractional nonlinear systems and fuzzy fractional equations, reflects his ability to tackle complex problems and his influence on advancing mathematical research.

In summary, Dr. Rasool Shah’s comprehensive education, substantial research contributions, innovative projects, professional engagement, and diverse skill set make him a strong candidate for the Best Researcher Award. His work not only advances the field of mathematics but also demonstrates a high level of expertise and commitment to his research area.

Publication top notes

Application of Laplace–Adomian decomposition method for the analytical solution of third-order dispersive fractional partial differential equations

Analytical Investigation of Noyes–Field Model for Time‐Fractional Belousov–Zhabotinsky Reaction

Analytical investigation of fractional-order Newell-Whitehead-Segel equations via a novel transform

Numerical investigation of fractional-order Swift–Hohenberg equations via a Novel transform

Analytical solutions of fractional-order heat and wave equations by the natural transform decomposition method

Effects of fractional derivative and heat source/sink on MHD free convection flow of nanofluids in a vertical cylinder: A generalized Fourier’s law model

Laplace decomposition for solving nonlinear system of fractional order partial differential equations

Sheheryar Shah | Mathematics | Best Researcher Award

Published on 28/06/202428/06/2024 by Research Hypothesis

Sheheryar Shah | Mathematics | Best Researcher Award

Dr Sheheryar Shah, Xi’an Jiaotong University, China

Dr. Sheheryar Shah, PhD in Applied Mathematics, specializes in numerical methods and fluid dynamics. Currently a lecturer at Mardan Model School, he previously served as a visiting lecturer at Shaheed Benazir Bhutto University. His research focuses on optimal error estimates and computational methods for various fluid flow equations, published in reputable journals like Waves in Random and Complex Media and Journal of Scientific Computing. Driven by a passion for mathematical modeling, he continues to explore new frontiers in applied mathematics. 📊🔍

Publication profile

Scopus

Education

With a Ph.D. in Applied Mathematics from Xi’an Jiaotong University, Xi’an, China (September 2017 – December 2023), and a Master’s degree from Abdul Wali Khan University, Mardan, Pakistan (2014-2016), this individual has a solid foundation in mathematical sciences 📘🔢. Their advanced studies in applied mathematics demonstrate a deep commitment to the field, showcasing expertise and dedication to solving complex mathematical problems 🧮📚.

Experience

User worked as a visiting lecturer at Shaheed Benazir Bhutto University Sheringal (Pakistan) from March 15, 2021, to September 10, 2021. Subsequently, they served as a lecturer at Mardan Model School and College (Pakistan) from September 13, 2021, to August 31, 2022. 🎓

Achivements

In the final year of my M.Sc., I secured 3rd position, showcasing my dedication to academic excellence. My M.Phil studies were marked by distinction, achieving a notable GPA of 3.56 out of 4. Additionally, I was honored to receive the prestigious Chinese Government Scholarship, which further fueled my passion for learning and cultural exchange. 🎓🌟

Research focus

Dr. Sheheryar Shah’s research focuses on the application of Discontinuous Galerkin methods in numerical analysis, particularly in addressing hemivariational inequalities and quasi-variational inequalities in contact mechanics and fluid dynamics. His work explores a priori error estimates and entropy formation analysis, emphasizing computational efficiency and accuracy in complex physical systems. 📊 His collaborations span studies on magnetized fluid dynamics over stretching surfaces, integrating innovative wall conditions for practical applications in engineering and physics. 🌐