Majid Jabbari | Applied Mathematics | Best Researcher Award

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Dr. Majid Jabbari | Applied Mathematics | Best Researcher Award

Faculty member at iaukhsh, Iran

Dr. Majid Jabbari 🛠️ is a distinguished Assistant Professor in Mechanical Engineering at Islamic Azad University of Khomainishahr, renowned for his pioneering research in vibration-based energy harvesting ⚡, piezoelectric materials, and fracture mechanics. With a Ph.D. from Isfahan University of Technology 🎓, he has contributed impactful publications in top-tier journals and presented at prestigious global forums. His engineering acumen extends to advanced mechanical design projects, including aerospace structures ✈️ and industrial damping systems. Dr. Jabbari’s academic journey is marked by excellence in teaching cutting-edge software tools 💻 and mentoring future engineers with vision. Decorated with multiple accolades 🏅 from the aviation and mining industries, he exemplifies the fusion of theoretical depth and practical innovation. His authorship of specialized books and close collaborations with leading research institutes reflect a career committed to scientific advancement 🔬 and societal benefit. Dr. Jabbari is a dynamic force in modern mechanical research and a deserving candidate for global recognition 🌍.

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🎓 Education

Dr. Majid Jabbari’s academic pathway is a seamless blend of precision, passion, and perseverance. He completed all his higher education at the prestigious Isfahan University of Technology, Iran — earning a Bachelor’s, Master’s, and Ph.D. in Mechanical Engineering 🛠️. His master’s thesis explored “Crack Detection by Using Vibration Behavior,” while his doctoral dissertation ventured into the dynamic world of “Energy Harvesting from Vibration of Piezoelectric Multilayer Structures,” merging experimentation with numerical analysis 🔍. This robust foundation laid the groundwork for his future as a mechanical innovator. Throughout his studies, Dr. Jabbari received multiple academic distinctions 🏆, including superior student awards. His educational journey reflects a rare blend of theoretical depth, hands-on expertise, and a forward-thinking mindset, positioning him at the intersection of structural mechanics, materials science, and dynamic systems. His solid academic background empowers his future contributions to global mechanical advancements 🌐.

💼 Professional Experience

Dr. Majid Jabbari brings over two decades of hands-on teaching, research, and industry collaboration experience in mechanical engineering 🔧. Currently an Assistant Professor at the Islamic Azad University of Khomainishahr, he has served as a trusted instructor for numerous specialized subjects such as Fatigue and Fracture, Finite Element Methods, and Computer-Aided Machine Design 🖥️. He is also a software-savvy educator, proficient in CATIA, ADAMS, ANSYS, MARC, and PATRAN/NASTRAN, equipping students with essential industry tools. His engineering footprint spans across diverse sectors, including steel, automotive, aviation, and maritime domains 🛳️. Dr. Jabbari has led and supported major design projects such as airplane surface design, flutter analysis, and structural optimization. His collaborations with renowned universities and industrial giants like Foolad Mobarakeh Steel Company and PTDI Indonesia reflect his versatile professional scope. With practical brilliance and academic depth, Dr. Jabbari exemplifies a career driven by innovation, integrity, and interdisciplinary synergy 🚀.

🔬 Research Interests

Dr. Majid Jabbari’s research interests orbit around the intricate mechanics of materials, dynamic systems, and smart structures 🌟. His expertise thrives in vibration-based crack detection, piezoelectric energy harvesting, nonlinear dynamic analysis, and finite element modeling 📊. At the heart of his work lies the desire to convert ambient vibrations into usable energy, a frontier technology in sustainable engineering. He is also deeply invested in the study of fatigue, fracture behavior, and stress analysis under complex conditions — paving the way for safer and smarter mechanical designs 🧠. His explorations into advanced coatings, such as TiO2/SiC/SiO2 layers for graphite electrodes, signal a strong focus on durability and innovation in manufacturing. Bridging theory and practice, Dr. Jabbari seamlessly integrates computational simulations with experimental validation 🔎. His dynamic portfolio reflects a forward-looking vision aimed at enhancing structural health monitoring, energy efficiency, and robust mechanical systems that meet future industrial demands ⚙️.

🏅 Awards and Honors

Dr. Majid Jabbari is the recipient of numerous awards that celebrate both academic excellence and industrial innovation 🎖️. He earned the prestigious Superior Student Award and multiple research grants during his academic years at Isfahan University of Technology. His exceptional work in the aviation industry has been recognized multiple times — securing accolades in 2000, 2001, 2003, 2004, 2005, and 2006 for his outstanding design and technical contributions ✈️. In addition, he has been honored with the Top Expert Award from the Aviation Industry and received recognition from the mining sector for his applied engineering solutions ⛏️. His commitment to research excellence is further validated by accolades from Islamic Azad University and internationally recognized certification programs from Russia and Germany. These distinctions reflect not only his deep technical competence but also his role as a bridge between academia and industry. Dr. Jabbari’s accolades are a testimony to his dedication, brilliance, and visionary impact 🌐.

Conclusion

Dr. Majid Jabbari emerges as a multi-dimensional engineer, educator, and researcher whose career radiates intellectual brilliance and practical ingenuity 🔧. His journey—from a passionate student to a nationally and internationally recognized scholar—reflects consistency in excellence and a commitment to innovation. With extensive academic credentials, hands-on industrial involvement, and cutting-edge research, he has impacted fields ranging from energy harvesting to structural integrity. His published works, teaching legacy, and collaborative projects across top institutions and industries illustrate a profile that is both inspiring and influential 📘. Dr. Jabbari stands as a role model in engineering education, known not just for problem-solving but for visionary foresight. His work pushes the envelope in mechanical systems and sustainable design, making him a compelling contender for any prestigious recognition 🏆. As technology evolves, his contributions continue to shine as a beacon for emerging researchers and engineers ready to shape the future 💡.

Publications Top Notes

  • 🛠️ Crack Detection in Beams Using Experimental Modal Data and Finite Element Model
    Authors: H. Nahvi, M. Jabbari
    Year: 2005
    Citations: 341
    Published In: International Journal of Mechanical Sciences, Vol. 47(10), pp. 1477–1497
    📌 Summary: A pioneering study combining vibration analysis with FEM to identify structural cracks in beams.

  • 🔥 Effects of TiO₂/SiC/SiO₂ Coating on Graphite Electrode Consumption in Sublimation and Oxidation States via EAF Simulation and Experimentation
    Authors: H.A. Moghadam, M. Jabbari, S. Daneshmand, S.R. Jazi, A. Khosravi
    Year: 2021
    Citations: 12
    Published In: Surface and Coatings Technology, Vol. 420, Article 127340
    📌 Summary: Investigates triple-layer coatings on electrodes to reduce wear in high-temperature environments.

  • 🎢 Experimental and Numerical Insights into the Dynamics of a Nonlinear Piezoelectric Beam
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2016
    Citations: 12
    Published In: Mechanics of Advanced Materials and Structures, Vol. 23(8), pp. 853–864
    📌 Summary: Explores complex vibrational behavior in smart piezoelectric structures under dynamic conditions.

  • 🔋 Energy Harvesting of a Multilayer Piezoelectric Beam: Resonant vs Off-Resonant Behavior
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2017
    Citations: 10
    Published In: Journal of Engineering Materials and Technology, Vol. 139(3), Article 031008
    📌 Summary: Evaluates how multi-layer designs affect energy capture from mechanical oscillations.

  • 🎯 Strain Nodes and Their Influence on Energy Output of Cantilever Piezoelectric Beams Under Modal Excitation
    Author: M. Jabbari
    Year: 2018
    Citations: 9
    Published In: Modares Mechanical Engineering, Vol. 17(10), pp. 65–72
    📌 Summary: Targets optimal energy zones in beam configurations based on nodal strain distribution.

  • 🧪 Free Vibration Analysis of Piezoelectric Actuators with Graded BN Nanotube Reinforcements via Timoshenko Theory
    Authors: R. Abdellahi, M. Jabbari, A. Shamshiri
    Year: 2024
    Citations: 4
    Published In: Results in Engineering, Vol. 23, Article 102374
    📌 Summary: Blends functional nanotech with classic mechanics to study smart actuator dynamics.

  • ⚙️ Impact of TiO₂/SiC/SiO₂ Coating on Wear Resistance of Needle Graphite Electrodes in EDM Context
    Authors: H.A. Moghadam, M. Jabbari, S. Daneshmand, S.R. Jazi, A. Khosravi
    Year: 2021
    Citations: 2
    Published In: International Journal of Advanced Design & Manufacturing Technology, Vol. 14(2)
    📌 Summary: Applies coating science to improve endurance during electrical discharge machining.

  • 🧪 Fabrication of Protective SiC/TiO₂/SiO₂ Coating for Graphite Electrodes
    Authors: H.A. Moghadam, M. Jabbari, S. Daneshmand, S.R. Jazi, A. Khosravi
    Year: 2021
    Citations: 2
    Published In: Surface Review and Letters, Vol. 28(05), Article 2150038
    📌 Summary: Describes the synthesis and performance evaluation of multilayer protective coatings.

  • 🔄 Enhancing Energy Harvesting through Vibration Mode Shape Optimization
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2016
    Citations: 2
    Published In: Advanced Computational Design, Vol. 1(2), pp. 155–173
    📌 Summary: Focuses on maximizing piezoelectric beam output by tuning vibrational response.

  • 🔍 Finite Element Analysis of Transient and Steady Dynamics in Nonlinear Piezoelectric Beams
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2016
    Citations: 2
    Published In: Journal of Solid Mechanics, Vol. 8(2), pp. 247–261
    📌 Summary: Delivers an in-depth simulation approach to nonlinear smart beam behavior.

  • 🧠 Optimization of Piezoelectric MEMS for Power Output via Genetic Algorithms
    Authors: M. Jabbari, M. Eghdami
    Year: 2023
    Citations: 1
    Published In: Aerospace Knowledge and Technology Journal, Vol. 11(2), pp. 165–181
    📌 Summary: Introduces AI-driven material and shape tuning for better MEMS energy conversion.

  • ⚡ Dynamic Stiffness-Based Electric Response Prediction in Piezoelectric Beams
    Authors: M. Jabbari, B. Ahmadi
    Year: 2020
    Citations: 1
    Published In: Journal of Applied and Computational Sciences in Mechanics, Vol. 31(2)
    📌 Summary: Models the electrical reaction of smart materials under dynamic excitation using advanced stiffness methods.

Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

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Prof. Dr. Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

Chief researcher at Scientific Research Institute for System Analysis of the National Research Center “Kurchatov Institute”, Russia

Dr. Boris Kryzhanovsky is a distinguished researcher with over five decades of experience in the fields of quantum electrodynamics, laser physics, and mathematical methods in neural networks, statistical physics, and nanotechnology. He graduated from Yerevan State University in 1971 and has since contributed significantly to scientific advancements. His work includes pioneering research in nonstationary four-wave mixing, the development of vector neural networks with large memory, and innovative methods for calculating partition functions of spin systems. Dr. Kryzhanovsky has published over 200 articles in renowned journals and holds an h-index of 19, reflecting the impact of his research. He is also the Editor-in-Chief of Optical Memory and Neural Networks and a Corresponding Member of the Russian Academy of Sciences. His leadership and extensive collaboration with international scientific communities further underscore his prominent role in advancing research in his fields of expertise.

Professional Profile 

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Education

Dr. Boris Kryzhanovsky completed his education at Yerevan State University, Armenia, where he graduated from the Physical Department in 1971. His academic foundation laid the groundwork for a distinguished career in scientific research. Throughout his career, Dr. Kryzhanovsky has maintained a strong commitment to advancing his knowledge in complex scientific fields, particularly in quantum electrodynamics, laser physics, and mathematical methods applied to neural networks and statistical physics. His early training at one of Armenia’s most prestigious universities provided him with the critical thinking and theoretical skills that have shaped his extensive body of work in these areas.

Professional Experience

Dr. Kryzhanovsky’s professional career spans over five decades, starting as a scientific researcher at the Institute for Physical Research in Armenia (1971-1991). He later worked at the Institute for Optical-Neuron Technologies RAS (1996-2006) and currently holds a chief researcher position at the Scientific Research Institute for System Analysis RAS. His career has seen significant contributions to the fields of neural networks and statistical physics, with leadership roles including Editor-in-Chief of Optical Memory and Neural Networks. Dr. Kryzhanovsky’s work is widely recognized for its deep theoretical insights and practical applications in various scientific domains.

Research Interests

Dr. Kryzhanovsky’s research interests are diverse, encompassing neural networks, statistical physics, and nanotechnology. He has made groundbreaking contributions in developing mathematical methods for the analysis of neural networks, especially focusing on vector neural networks with large memory for recognizing noisy patterns. Additionally, his work on the theory of nonstationary processes in quantum electrodynamics and the development of methods for calculating partition functions of spin systems highlights his interdisciplinary approach. His research also explores nanotechnology, particularly in relation to statistical mechanics, contributing to advances in both theoretical and applied physics.

Awards and Honors

Dr. Kryzhanovsky has received numerous honors throughout his career, underpinned by his significant contributions to scientific research. He is a Corresponding Member of the Russian Academy of Sciences and holds leadership positions in various academic and scientific societies. His work is frequently cited, reflected in his impressive h-index of 19 on Google Scholar, and he has authored over 200 journal articles in reputable SCI and Scopus-indexed publications. His professional standing and achievements are also evident from his role as Editor-in-Chief of Optical Memory and Neural Networks, further cementing his reputation in the scientific community.

Conclusion

Dr. Boris Kryzhanovsky is a highly respected researcher whose contributions to quantum electrodynamics, laser physics, neural networks, and statistical physics have had a profound impact on both theoretical and applied sciences. His academic background, coupled with extensive professional experience, has led to groundbreaking research that continues to shape the direction of several scientific fields. With a remarkable publication record and leadership roles within the scientific community, Dr. Kryzhanovsky remains a key figure in advancing knowledge and innovation. His achievements and dedication to research make him a standout in his field, deserving recognition for his substantial contributions to science.

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Halima Bensmail | Applied Mathematics | Best Researcher Award

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Prof. Dr. Halima Bensmail | Applied Mathematics | Best Researcher Award

Principal scientist at Qatar Computing Research Institute, Qatar

Dr. Halima Bensmail is a distinguished Principal Scientist at the Qatar Computing Research Institute, specializing in machine learning, bioinformatics, biostatistics, and statistical modeling. With a Ph.D. in Statistics (Summa Cum Laude) from the University Pierre & Marie Curie, she has made significant contributions to Bayesian inference, multivariate analysis, and precision medicine. She has an impressive research record with an H-index of 31, i10-index of 54, and around 140 publications in prestigious journals such as Nature Communications, JASA, and IEEE TNNLS. As the founder of the Statistical Machine Learning and Bioinformatics group at QCRI, she has led groundbreaking projects, including the development of open-source data-driven tools like the PRISQ pre-diabetes screening model and MCLUST clustering algorithm. With extensive academic experience in the USA, France, and the Netherlands, she has mentored numerous postdocs and students, shaping the next generation of researchers. Her expertise and leadership make her a key figure in data science and precision health.

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Education

Dr. Halima Bensmail holds a Ph.D. in Statistical Machine Learning (Summa Cum Laude) from the University Pierre & Marie Curie (Paris 6), where she specialized in Bayesian inference, spectral decomposition, and mixture models. Her thesis focused on deterministic and Bayesian model-based clustering and classification for data science applications. Prior to that, she earned an M.S. in Machine Learning from the same university, with a focus on probability, financial modeling, and stochastic processes. She also holds a Bachelor’s degree in Applied Mathematics and Statistics from the University Mohammed V in Morocco, where she gained expertise in numerical analysis, stochastic processes, topology, and mathematical programming. Throughout her academic journey, she was mentored by esteemed professors and developed a strong foundation in theoretical and applied statistics. Her educational background has laid the groundwork for her pioneering research in machine learning, bioinformatics, and data-driven modeling for real-world applications.

Professional Experience

Dr. Bensmail is currently a Principal Scientist at the Qatar Computing Research Institute (QCRI), where she leads research in bioinformatics, statistical machine learning, and artificial intelligence. She also serves as a Full Professor in the College of Science and Engineering at Hamad Bin Khalifa University and a Visiting Full Professor at Texas A&M University at Qatar. Previously, she held tenured faculty positions at Virginia Medical School and the University of Tennessee, where she contributed significantly to public health and business administration research. She has also worked as a Research Scientist at the University of Leiden, a scientist at the Fred Hutchinson Cancer Research Center, and a postdoctoral researcher at the University of Washington. With decades of experience across academia and research institutions in the U.S., Europe, and the Middle East, she has built expertise in developing statistical and AI-driven solutions for biomedical and computational challenges.

Research Interests

Dr. Bensmail’s research spans statistical machine learning, bioinformatics, and precision medicine. She has developed novel clustering algorithms, such as an advanced Bayesian clustering model implemented in the MCLUST package, and statistical methods for analyzing Next-Generation Sequencing (NGS) data. She is also interested in computational biology, specifically protein-protein interactions, protein solubility, and structural biology. Her work includes dimensionality reduction techniques like nonnegative matrix factorization and discriminative sparse coding for domain adaptation. In the field of precision medicine, she has designed PRISQ, a statistical model for pre-diabetes screening. Her broader interests include Bayesian statistics, functional data analysis, information theory, and high-dimensional data modeling. With a strong focus on developing real-world data-driven tools, she actively contributes to statistical methodologies that enhance decision-making in medicine, genomics, and artificial intelligence applications.

Awards and Honors

Dr. Bensmail has received numerous accolades for her contributions to machine learning, bioinformatics, and statistical modeling. Her work has been widely recognized, with over 140 peer-reviewed publications and an H-index of 31, demonstrating the impact of her research. She has secured research grants and led major projects in AI-driven healthcare solutions. Her contributions to the field have been acknowledged through invitations to serve as a keynote speaker at international awards and as an editorial board member for high-impact journals. She has also been instrumental in mentoring young researchers, postdoctoral fellows, and doctoral students, fostering the next generation of scientists in AI, statistics, and bioinformatics. Additionally, her work on statistical methods for precision medicine and biomedical informatics has gained international recognition, positioning her as a leading expert in the field of data science for healthcare and computational biology.

Conclusion

Dr. Halima Bensmail is a pioneering researcher in machine learning, statistical modeling, and bioinformatics, with a career spanning leading institutions in the U.S., Europe, and the Middle East. Her contributions to clustering algorithms, high-dimensional data analysis, and precision medicine have made a lasting impact on the fields of AI and computational biology. As a mentor and leader, she has shaped numerous young scientists and postdocs, driving innovation in data science applications. With a robust publication record, influential research projects, and a dedication to developing real-world AI-driven solutions, she stands as a leading figure in statistical machine learning. Her expertise and contributions continue to push the boundaries of knowledge in bioinformatics, artificial intelligence, and healthcare analytics, making her a strong candidate for prestigious research awards and recognition in scientific communities worldwide.

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Abdelhalim Ebaid | Applied Mathematics | Best Researcher Award

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Prof. Abdelhalim Ebaid | Applied Mathematics | Best Researcher Award

Professor at University of Tabuk, Saudi Arabia

Prof. Dr. Abdelhalim Ebaid is a distinguished mathematician specializing in applied mathematics and mathematical modeling. He earned his M.Sc. and Ph.D. from Ain Shams University, Egypt, and currently serves as a Professor at the University of Tabuk, Saudi Arabia. With an extensive research portfolio, he has made significant contributions to fluid mechanics, differential equations, and numerical analysis, publishing over 50 papers in high-impact journals. His work is highly recognized, with an h-index of 30 on Google Scholar and 26 on Scopus, reflecting the substantial impact of his research. He serves on the editorial boards of several prestigious journals, including Heliyon and Advances in Mechanical Engineering. His expertise spans exact solutions, nanofluid dynamics, and peristaltic transport, making him a leading figure in his field. Through his research, mentorship, and editorial contributions, Prof. Ebaid continues to advance mathematical sciences and inspire the next generation of researchers.

Professional Profile 

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Education

Prof. Dr. Abdelhalim Ebaid holds both a Master of Science (M.Sc.) and a Doctor of Philosophy (Ph.D.) in Mathematics from Ain Shams University, Cairo, Egypt. He earned his M.Sc. degree in September 2003, followed by his Ph.D. in September 2007. His academic journey has been marked by a strong foundation in applied mathematics, differential equations, and mathematical modeling, which have significantly contributed to his extensive research portfolio. With a deep commitment to advancing mathematical sciences, Dr. Ebaid has developed expertise in fluid mechanics, nonlinear analysis, and computational methods. His rigorous academic training and research pursuits have positioned him as a leading figure in his field, allowing him to make substantial contributions to both theoretical and applied aspects of mathematics. His education has been instrumental in shaping his distinguished career as a professor and researcher, further enriching the scientific community through his scholarly work and mentorship.

Professional Experience

Prof. Dr. Abdelhalim Ebaid is a distinguished mathematician with extensive academic and research experience. He began his career as an Assistant Professor at the University of Tabuk, Saudi Arabia, in 2008, where he contributed significantly to mathematical research and education. In 2013, he was promoted to Associate Professor, further advancing his expertise in applied mathematics, differential equations, and mathematical modeling. His dedication and scholarly contributions earned him the position of Professor in 2020, solidifying his reputation as a leading researcher in his field. Throughout his career, Prof. Ebaid has actively participated in editorial boards of esteemed international journals, reflecting his commitment to the academic community. His prolific research output, including numerous publications in high-impact journals, has made significant contributions to mathematical sciences, particularly in fluid mechanics, nanofluid dynamics, and nonlinear differential equations. His work continues to influence and inspire researchers and students worldwide.

Research Interest

Prof. Dr. Abdelhalim Ebaid’s research interests span a broad spectrum of applied mathematics, mathematical modeling, and computational methods with applications in fluid mechanics, nanofluids, and nonlinear differential equations. His work extensively focuses on peristaltic transport, magnetohydrodynamics (MHD), and the influence of boundary conditions on fluid flow in various physical and biological systems. He has contributed significantly to solving nonlinear boundary value problems using analytical and numerical techniques, such as the Adomian decomposition method, differential transformation method, and Exp-function method. His studies also explore exact and approximate solutions for nonlinear oscillators, fractional calculus models, and their applications in mechanics and physics. Additionally, he investigates heat transfer enhancement using nanofluids, improving energy efficiency in thermal systems. As an active researcher, he aims to develop innovative computational tools and mathematical formulations to address complex real-world problems in engineering, physics, and biomedical sciences.

Award and Honor

Prof. Dr. Abdelhalim Ebaid has been recognized for his outstanding contributions to the field of mathematics, particularly in applied mathematics and mathematical modeling. His extensive research in fluid mechanics, nonlinear differential equations, and nanofluids has earned him international recognition. As a distinguished professor at the University of Tabuk, Saudi Arabia, he has published numerous high-impact research papers in esteemed journals and has been cited extensively, reflecting his influence in the academic community. He serves on the editorial boards of several prestigious journals, including Heliyon (Elsevier) and Advances in Mechanical Engineering (SAGE), further highlighting his leadership in mathematical research. His achievements include a remarkable h-index on both Scopus and Google Scholar, demonstrating the significance of his scholarly work. Through his innovative research and dedication to advancing mathematical sciences, Prof. Dr. Ebaid has made lasting contributions that continue to inspire researchers and academicians worldwide.

Conclusion

Prof. Dr. Abdelhalim Ebaid is a distinguished mathematician with a prolific research record in applied mathematics, mathematical modeling, and computational methods. His extensive contributions, including numerous high-impact publications and editorial roles in reputed journals, reflect his expertise and influence in the field. With an impressive citation count and h-index, his research has made a significant impact on the global scientific community. His work spans diverse areas, including fluid mechanics, differential equations, and nanofluid dynamics, showcasing his versatility and depth of knowledge. As a professor at the University of Tabuk, he has demonstrated strong leadership and commitment to advancing mathematical sciences. While his achievements are remarkable, further engagement in interdisciplinary collaborations and mentorship initiatives could enhance his impact even further. Given his outstanding research credentials and scholarly contributions, Prof. Dr. Ebaid is a highly deserving candidate for the Best Researcher Award, embodying excellence and innovation in mathematical research.

Publications Top Noted