Adel Wadiyan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Adel Wadiyan | Applied Mathematics | Best Researcher Award

Associate Professor at Qassim University, Saudi Arabia

Dr. Adel Mefleh O. Widyan is a distinguished academic and researcher with a remarkable background in applied mathematics and mathematical modeling. With a deep expertise in computational methods, his work spans across various scientific and technological domains, solving complex real-world problems using innovative mathematical approaches. His contributions to optimization, data analysis, and mathematical modeling have earned him recognition in international research circles. 🌍📊 Dr. Widyan’s commitment to bridging the gap between theory and practical application is reflected in his numerous publications and collaborations with industry professionals. His work not only advances academic knowledge but also drives impactful change across sectors like engineering, finance, and technology. 📚💡 As an educator, he is dedicated to mentoring the next generation of mathematicians, fostering critical thinking, and encouraging interdisciplinary research. Dr. Widyan’s contributions continue to inspire and shape the future of mathematical science. 🚀🎓

Professional Profile

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Education 🎓📘

Dr. Adel Mefleh O. Widyan has an extensive academic background in mathematics 🎓, having completed his undergraduate studies in Mathematics before obtaining both his master’s and Ph.D. in Applied Mathematics. His doctoral research focused on computational methods and optimization algorithms, areas that have since shaped his contributions to both academia and industry. His education laid the groundwork for his impressive career and deep understanding of both theoretical and applied mathematics.

🏫 Professional Experience

Dr. Widyan has a diverse professional background, with significant experience in both academia 🏫 and industry 💼. Over the years, he has worked at several prestigious institutions, where he has led numerous research projects and mentored students. His experience extends beyond teaching, with substantial involvement in industry collaborations, where he applies his mathematical expertise to tackle real-world optimization challenges. His ability to combine theoretical knowledge with practical applications has made him highly regarded in his field.

🔢 Research Interests

Dr. Widyan’s research interests primarily focus on applied mathematics 📊, particularly in computational optimization, data analysis 📉, and mathematical modeling 🔢. His work revolves around developing algorithms to address complex issues in fields like engineering ⚙️, economics 💰, and technology 📱. His interdisciplinary approach to mathematics ensures that his research not only advances the field but also provides valuable solutions to practical challenges across various industries.

🏆 Awards and Honors

Throughout his career, Dr. Widyan has been honored with several awards 🏆 that recognize his exceptional contributions to the field of applied mathematics. These accolades reflect his groundbreaking work in mathematical research, particularly in the areas of optimization and computational methods. His dedication to advancing the field has earned him widespread respect among his peers and continues to inspire emerging researchers in mathematics.

🌍 Conclusion

Dr. Adel Mefleh O. Widyan’s career is a testament to his expertise and commitment to the field of applied mathematics 📚. Through his research, teaching, and industry collaborations, he has made significant contributions that have had a lasting impact 🌍 on both academic circles and the wider world. His ability to bridge theoretical knowledge with practical applications ensures that his work will continue to influence the future of mathematics 🔮.

Publications Top Notes

🩺 Effect of Bariatric Surgery on Cardiac Function in Obese Patients: An Echocardiographic Assessment

  • Authors: Mansur S. Alqunai, Bandar S. Assakran, Adel M. Widyan, Annie Suresh, …

  • Year: 2022

  • Citations: 3

  • Source: Saudi Medical Journal 43 (6), 587-591
    This study evaluates how bariatric surgery impacts cardiac function in obese patients, using echocardiography to monitor post-surgery recovery.

🔢 Obtaining the Efficient Solutions for Multicriterion Programming Problems with Stochastic Parameters

  • Authors: A Widyan

  • Year: 2016

  • Citations: 3

  • Source: Journal of Qassim University for Science 9 (1), 17-25
    This article delves into stochastic multicriterion programming, focusing on optimal solutions in uncertain decision-making environments.

📈 Determining the Efficient Solutions for Bicriteria Programming Problems with Random Variables in Both the Objective Functions and the Constraints

  • Authors: BI Bayoumi, AA El-Sawy, NL Baseley, IK Yousef, AM Widyan

  • Year: 2005

  • Citations: 3

  • Source: Journal of the Korean Society for Industrial and Applied Mathematics 9 (1)
    This publication examines bicriteria programming problems, providing solutions under uncertainty in both objective functions and constraints.

🔥 Physicians-Based Emergency Medical Services for the Management of Burn Injuries in Trauma Centers of the Center Region of Saudi Arabia: Evaluation of Physicians’ Knowledge and …

  • Authors: HT Alhomaidan, Z Rasheed, MM Alsudais, AM AlMutairi, KA Alzaben, …

  • Year: 2021

  • Citations: 2

  • Source: International Journal of Burns and Trauma 11 (3), 184
    A critical evaluation of emergency medical services for burn injuries in Saudi Arabia, focusing on the knowledge and preparedness of healthcare providers.

⚙️ Decomposition the Parametric Space in Stochastic Multiobjective Programming Problem

  • Authors: AM Widyan

  • Year: 2017

  • Citations: 2

  • Source: Journal of Global Research in Mathematical Archives 4 (2)
    A study on stochastic multiobjective programming, proposing methods for decomposition and efficient solution derivation.

💊 Knowledge, Attitudes, and Practices (KAP) of Medical University Students Towards Vitamin D Deficiency in Saudi Arabia: A Cross-Sectional Study

  • Authors: A Elghazaly, A Widyan, S Alsahali, M Alshammari, M Farooqui, …

  • Year: 2024

  • Citations: 1

  • Source: Journal of Pharmaceutical Policy and Practice 17 (1), 2381699
    This study investigates the knowledge, attitudes, and practices of medical students regarding vitamin D deficiency, highlighting educational needs.

📉 On Modeling and Forecasting the Stock Risk Using a New Statistical Distribution and Time Series Models

  • Authors: HA Lelin Yan, Weihong Zhou, Omalsad Hamood Odhah, Adel M. Widyan, Hamiden …

  • Year: 2025

  • Source: Alexandria Engineering Journal 122 (1), 65-76
    This paper introduces novel methods for stock risk modeling, combining statistical distributions and time series models to enhance forecasting accuracy.

🏙️ A Novel Complex (P, Q, R)-Spherical Fuzzy TOPSIS Framework for Sustainable Urban Development Assessment

  • Authors: M Rahim, SZ Khan, AM Widyan, A Almutairi, HAEW Khalifa

  • Year: 2025

  • Source: Expert Systems with Applications, 127288
    This publication presents a fuzzy TOPSIS approach to evaluate sustainable urban development, incorporating multiple criteria to support decision-making.

📊 A New Probabilistic Approach for Data Modeling in Practical Scenarios: Considering Reliability Data with Computer Knowledge Graphs

  • Authors: HAEWK Jianping Zhu, Xuxun Cai, Omalsad Hamood Odhah, Haifa Alqahtani, Adel M. Widyan

  • Year: 2025

  • Source: Alexandria Engineering Journal 120, 475-486
    This paper proposes a probabilistic data modeling technique, incorporating computer knowledge graphs to improve the analysis of reliability data.

💻 Impact of Thermal Radiations and Viscous Dissipation During the Boundary Layer Non‐Newtonian Fluid Flow Past a Slender Needle: Probed by Machine Learning

  • Authors: H Yao, A Ullah, Ikramullah, AM Widyan, A Althobaiti, HAEW Khalifa

  • Year: 2025

  • Source: ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …
    This article investigates the effects of thermal radiations and viscous dissipation in non-Newtonian fluid flow, with the aid of machine learning algorithms.

📖 Effects of Ramadan Fasting on the Symptoms of Chronic Heart Failure

  • Authors: RM Abazid, HH Khalaf, HI Sakr, NA Altorbak, HS Alenzi, ZM Awad, …

  • Year: 2018

  • Citations: 48

  • Source: Saudi Medical Journal 39 (4), 395
    This study explores the effects of Ramadan fasting on the symptoms of chronic heart failure, offering insights into cardiovascular health during fasting.

🫀 Relation Between Epicardial Fat and Subclinical Atherosclerosis in Asymptomatic Individuals

  • Authors: RM Abazid, OA Smettei, MO Kattea, S Sayed, H Saqqah, AM Widyan, …

  • Year: 2017

  • Citations: 43

  • Source: Journal of Thoracic Imaging 32 (6), 378-382
    This paper uncovers the relationship between epicardial fat and subclinical atherosclerosis, providing valuable data for early cardiovascular disease prevention.

🥗 Dietary Assessment and Patient-Perspective Reasons for Poor Adherence to Diet and Exercise Post Bariatric Surgery

  • Authors: BS Assakran, AM Widyan, NA Alhumaidan, FA Alharbi, MA Alhnaya, …

  • Year: 2020

  • Citations: 14

  • Source: BMC Research Notes 13, 1-7
    This research assesses bariatric surgery patients’ dietary habits and highlights barriers to maintaining a healthy lifestyle after surgery.

💭 Incidence of Delirium in the Critical Care Unit and Risk Factors in the Central Region, Saudi Arabia

  • Authors: Rami M. Abazid, Shaima A. Al-Harbi, Abdulaziz S. Allihimy, Dawood A, …

  • Year: 2021

  • Citations: 7

  • Source: Saudi Medical Journal 42 (4), 445-448
    This study sheds light on the incidence of delirium in critical care units and identifies risk factors, crucial for improving patient care in intensive settings.

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

  • Authors: SAM Abir Elghazaly, Ghada Ben Salah, Nada Ibrahim, Saud Alsahali, Adel M. Widyan, …

  • Year: 2023

  • Citations: 4

  • Source: Risk Management and Healthcare Policy 16 (1), 271-277
    The study focuses on household drug storage practices, aiming to raise public awareness about the importance of proper medication management.

🔄 Recurrent Inguinal Hernia Post-Laparoscopic Repair: A Retrospective Single-Center Study in Qassim Region, Saudi Arabia

  • Authors: BS Assakran, AM Widyan, AS Al-lihimy, AA Aljabali, MA Al-Enizi, …

  • Year: 2021

  • Citations: 4

  • Source: The Cureus Journal of Medical Science 13 (3)
    This paper investigates recurrent inguinal hernia following laparoscopic repair, providing critical data for improving surgical outcomes.

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

  • Authors: AM Widyan

  • Year: 2020

  • Citations: 4

  • Source: Journal of Statistics Applications & Probability 9 (2), 207-213
    A mathematical approach to inventory management, exploring stochastic parameters and their effect on decision-making in supply chain management.

Najmeddine Attia | Pure Mathematics | Best Researcher Award

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Assoc. Prof. Dr Najmeddine Attia | Pure Mathematics | Best Researcher Award

Associate professor at King faisal university, Saudi Arabia

Najmeddine Attia is a distinguished mathematician specializing in multifractal analysis, probability theory, and fractal geometry. He holds a PhD in Mathematics from the University Paris-Nord 13 and INRIA Rocquencourt and has earned a University Habilitation in Mathematics. Currently an Assistant Professor at King Faisal University, he has previously held academic positions in Tunisia and France. His research contributions include extensive work on the asymptotic behavior of branching random walks and Hausdorff dimensions. Attia has supervised multiple master’s and PhD students, fostering the next generation of mathematicians. He has authored several books on probability and statistics and has been recognized with awards such as the Researcher Prize from King Faisal University (2024) and the Young Researcher Prize from Beit Al-Hikma (2020). Actively engaged in scientific awards and collaborations, his work continues to advance mathematical research while contributing to academia through teaching and mentorship.

Professional Profile 

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🎓 Education

Najmeddine Attia holds an impressive academic background in mathematics, specializing in multifractal analysis and probability theory. He earned his PhD in Mathematics from the University Paris-Nord 13 and INRIA Rocquencourt, focusing on the asymptotic behavior of branching random walks and Hausdorff dimensions. Prior to this, he completed a Diploma of Advanced Studies in Mathematics at the Faculty of Sciences of Monastir in collaboration with Paris-INRIA Rocquencourt. His foundational education includes a Diploma in Mathematics, where he graduated as the top student. In 2020, he achieved a University Habilitation in Mathematics from the University of Monastir, further solidifying his expertise. His academic journey reflects a deep commitment to advanced mathematical research, equipping him with the analytical and theoretical skills necessary for high-impact contributions in probability, fractal geometry, and applied mathematics. His continuous academic pursuits have positioned him as a leading figure in his research domain.

👨‍🏫 Professional Experience

Dr. Attia has built a distinguished career in academia, with teaching and research roles across multiple institutions. Currently, he serves as an Assistant Professor at King Faisal University, Saudi Arabia, where he contributes to the development of mathematical research and education. Before this, he was an Associate Professor at the Faculty of Sciences of Monastir, Tunisia, where he spent nearly a decade mentoring students and leading research initiatives. His professional journey also includes teaching positions at prestigious French institutions such as the University of Paris Sud (Orsay) and the University Pierre et Marie Curie (Paris 6), where he refined his expertise in applied mathematics and probability theory. Throughout his career, he has supervised numerous master’s and PhD students, fostering intellectual growth in the next generation of mathematicians. His global academic presence reflects his dedication to advancing mathematical sciences and bridging research collaborations across international institutions.

📊 Research Interests

Dr. Attia’s research revolves around multifractal analysis, probability theory, fractal geometry, and statistical inference. His groundbreaking work includes the study of branching random walks, Hausdorff and packing dimensions, and the multifractal structure of measures. His contributions extend to the mathematical foundation of Renyi dimensions, vectorial multifractal analysis, and statistical modeling of complex systems. His research is not only theoretical but also finds applications in data science, stochastic processes, and interdisciplinary studies involving fractal mathematics. As an active researcher, he has collaborated on international projects, including an Erasmus+ research initiative connecting Tunisia and Slovakia. His passion for mathematical exploration is evident in his numerous publications, scientific talks, and award participations. Through his research, Dr. Attia continues to push the boundaries of applied and theoretical mathematics, making significant contributions to both academia and industry applications in complex systems and statistical modeling.

🏆 Awards & Honors

Dr. Najmeddine Attia’s excellence in mathematical research has been recognized through prestigious awards. In 2024, he received the Researcher Prize from King Faisal University, a testament to his impactful contributions in probability and multifractal analysis. He was also honored with the Young Researcher Prize from Beit Al-Hikma in 2020, highlighting his early-career achievements in mathematics. His leadership in academia is further exemplified by his active role in scientific awards and workshops, where he has been invited as a speaker on multiple occasions. Dr. Attia has also contributed significantly to scientific collaborations, organizing research groups and seminars on Fibonacci sequences, fractal geometry, and mathematical analysis. His accolades underscore his dedication to advancing mathematical knowledge, mentoring young researchers, and fostering global collaborations. These honors serve as recognition of his profound impact in the field and his commitment to academic excellence.

🔍 Conclusion

Dr. Najmeddine Attia is a dynamic and accomplished mathematician whose expertise spans probability theory, multifractal analysis, and fractal geometry. His academic journey, from earning a PhD in France to securing top-tier teaching and research positions in Tunisia and Saudi Arabia, reflects his dedication to mathematical sciences. As a researcher, he has made significant theoretical and applied contributions, supervised emerging scholars, and authored essential mathematical books. His recognition through prestigious awards underscores his impact in the field. With a passion for advancing mathematical knowledge and fostering collaborations, Dr. Attia continues to shape the future of research and education. His career stands as an inspiration to mathematicians worldwide, demonstrating the power of perseverance, innovation, and academic excellence.

Publications Top Noted

 

liang cao | Interdisciplinary Mathematics | Best Researcher Award

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Dr. liang cao | Interdisciplinary Mathematics | Best Researcher Award

lecturer at Hunan Institute of Engineering, China 

Dr. Liang Cao, a faculty member at the Hunan Institute of Engineering, specializes in reliability analysis, wind energy technology, and advanced manufacturing. With a strong academic foundation from Xiangtan University, he has led funded research projects, including one supported by the Natural Science Foundation of Hunan Province. His contributions to structural reliability analysis include developing machine learning-based surrogate models for evaluating low failure probabilities, advancing computational efficiency in engineering. He has published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics and holds multiple patents in mechanical engineering. A member of the Society of Mechanical Engineering, Dr. Cao’s research significantly impacts reliability-based design optimization, particularly in wind turbine gearboxes and robotic mechanisms. While his academic influence is growing, enhancing citation impact, industry collaborations, and editorial leadership could further strengthen his profile. His work continues to shape advancements in probabilistic mechanics and reliability engineering.

Professional Profile 

Scopus Profile
ORCID Profile

Education 

Dr. Liang Cao obtained his academic training from Xiangtan University, where he specialized in mechanical engineering. His education provided a strong foundation in reliability analysis, wind energy technology, and advanced manufacturing. During his academic journey, he gained expertise in probabilistic mechanics, structural safety, and optimization techniques, which later became the focus of his research. His studies emphasized the integration of computational modeling and experimental methods, equipping him with the skills necessary for advancing engineering reliability. Through coursework and research projects, he developed a deep understanding of mechanical system optimization, particularly in developing surrogate models for evaluating failure probabilities. His education laid the groundwork for his career in academia, where he continues to apply theoretical and computational approaches to improve structural and mechanical reliability. With a commitment to academic excellence, Dr. Cao remains engaged in continuous learning and professional development to further enhance his contributions to the field.

Professional Experience 

Dr. Liang Cao serves as a faculty member at the Hunan Institute of Engineering, where he contributes to teaching and research in mechanical engineering. His expertise in reliability analysis and design optimization has enabled him to guide students and researchers in developing innovative solutions for mechanical system reliability. Over the years, he has successfully led projects funded by the Natural Science Foundation of Hunan Province, further solidifying his reputation as an expert in the field. His work integrates computational modeling, machine learning, and structural safety to improve the performance of mechanical systems, particularly in wind turbine gearboxes and robotic mechanisms. Beyond research, he is actively involved in mentoring students and collaborating with peers to advance mechanical engineering methodologies. While he has made significant strides in academia, expanding his industry collaborations and assuming editorial or leadership roles would further strengthen his professional influence and contributions to the field.

Research Interest

Dr. Liang Cao’s research focuses on reliability analysis, probabilistic mechanics, and structural optimization in mechanical engineering. His work integrates machine learning techniques with reliability-based design optimization to improve the efficiency and accuracy of failure predictions. A key aspect of his research is the development of surrogate models, such as Radial Basis Function Neural Networks (RBFNN), for evaluating low failure probabilities with enhanced computational efficiency. His studies have direct applications in wind turbine gearboxes, robotic mechanisms, and piezoelectric dispensing systems, contributing to safer and more robust mechanical designs. Additionally, he explores multi-source uncertainty modeling to enhance structural reliability under variable conditions. His research is published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics. Moving forward, expanding interdisciplinary collaborations and securing larger research grants could amplify the impact of his work on global mechanical engineering challenges.

Awards and Honors 

Dr. Liang Cao has received recognition for his contributions to mechanical engineering, particularly in reliability analysis and probabilistic mechanics. His research achievements have been supported by the Natural Science Foundation of Hunan Province, which funded his work on sliding bearing lubrication reliability in fan gearboxes. Additionally, his multiple patents reflect his innovative contributions to structural safety and optimization in mechanical systems. While he has gained credibility through journal publications in esteemed outlets such as Probabilistic Engineering Mechanics and Smart Materials and Structures, broader recognition through industry awards and professional society honors could further elevate his profile. Active participation in international research collaborations and engineering awards may increase his chances of securing prestigious research awards. By continuing to contribute to mechanical engineering advancements, Dr. Cao has the potential to earn more accolades, further solidifying his standing as a leading researcher in reliability engineering and mechanical system optimization.

Conclusion 

Dr. Liang Cao is an accomplished researcher in mechanical engineering, specializing in reliability analysis, probabilistic mechanics, and structural optimization. With a strong educational foundation from Xiangtan University and professional experience at the Hunan Institute of Engineering, he has made significant contributions to enhancing mechanical system safety and efficiency. His research, funded by the Natural Science Foundation of Hunan Province, has led to innovative developments in surrogate modeling and uncertainty analysis. He has published extensively in high-impact journals and holds multiple patents, reflecting his commitment to advancing engineering methodologies. While his academic impact is commendable, expanding his industry collaborations, citation influence, and leadership roles in research communities could further enhance his professional standing. With a growing reputation in reliability engineering, Dr. Cao is poised to make even greater contributions to mechanical system design and optimization, positioning himself as a leading figure in applied engineering research.

Publications Top Noted

  • Title: Optimizing Dispensing Performance of Needle-Type Piezoelectric Jet Dispensers: A Novel Drive Waveform Approach
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2024
    Source: Smart Materials and Structures

  • Title: Theoretical Study and Physical Tests on the Influence of Process Parameters of Needle on Dispensing Quality
    Authors: Liang Cao, S.G. Gong, S.Y. Duan, Y.R. Tao
    Year: 2023
    Source: Optik

  • Title: A RBFNN Based Active Learning Surrogate Model for Evaluating Low Failure Probability in Reliability Analysis
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2023
    Source: Probabilistic Engineering Mechanics

  • Title: Optimisation Design for Wind Turbine Mainshaft Bearing Based on Lubrication Reliability
    Authors: Liang Cao
    Year: 2020
    Source: International Journal of Reliability and Safety

  • Title: A Novel Evidence-Based Fuzzy Reliability Analysis Method for Structures
    Authors: Liang Cao
    Year: 2017
    Source: Structural and Multidisciplinary Optimization

  • Title: Safety Analysis of Structures with Probability and Evidence Theory
    Authors: Liang Cao
    Year: 2016
    Source: International Journal of Steel Structures