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.

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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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Muhammad Marwan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Marwan | Applied Mathematics | Best Researcher Award

Associate professor at Linyi university, China

Dr. Marwan Muhammad is a distinguished researcher in applied mathematics, specializing in bifurcation theory, chaos, fractals, mobile chaotic robots, control theory, synchronization, and secure communication. With an H-index of 11, he has published extensively in high-impact journals such as Fractals, Nonlinear Dynamics, and IEEE-IoT. Currently an Associate Professor at Linyi University, China, he has over a decade of teaching and research experience, including a postdoctoral fellowship at Zhejiang Normal University (ZJNU). His work integrates mathematical theory with practical applications in cryptography, robotics, and UAV dynamics. Dr. Muhammad has successfully supervised multiple Master’s students and collaborated on funded research projects. His global academic exposure, particularly in China and Pakistan, enhances his research perspective. While his contributions are significant, further international collaborations, industry engagement, and competitive research grants would solidify his standing as a leading expert in computational and applied mathematics.

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Education

Dr. Marwan Muhammad holds a Ph.D. in Applied Mathematics from the Institute of Space Technology, Pakistan, where he specialized in nonlinear dynamics and stability analysis. His doctoral research focused on applying nonlinear tools to chaotic systems. He earned an M.S. in Mathematics from COMSATS Institute of Information Technology, Pakistan, with a thesis on Fejér-Hadamard inequalities for convex functions. His academic journey began with a B.S. in Mathematics from Islamia College University, Peshawar, where he was awarded a Gold Medal for his outstanding performance. His early education includes an HSSC and SSC from the Peshawar Board, securing top grades. Throughout his academic career, Dr. Muhammad demonstrated a strong foundation in theoretical and applied mathematics, equipping him with the expertise needed to excel in research and teaching. His education has played a pivotal role in shaping his research trajectory, particularly in bifurcation theory, chaos, fractals, and control systems.

Professional Experience

Dr. Marwan Muhammad has over a decade of experience in academia and research. He is currently an Associate Professor at Linyi University, China, where he teaches and supervises research in applied mathematics. Previously, he completed a postdoctoral fellowship at Zhejiang Normal University (ZJNU), China, focusing on advanced topics in nonlinear dynamics. His professional journey includes serving as a Lecturer at Islamabad Model Postgraduate College, Riphah International University, and the Higher Education Department of Peshawar. His teaching portfolio covers a broad range of mathematical disciplines, including computational mathematics, dynamical systems, and mathematical modeling. Additionally, he has worked on a research project funded by the Higher Education Commission (HEC) of Pakistan, leading to several high-impact publications. His international exposure, particularly in China and Pakistan, has enriched his academic perspective, allowing him to integrate diverse mathematical techniques into his research and contribute significantly to the global scientific community.

Research Interest

Dr. Marwan Muhammad’s research focuses on nonlinear dynamics, bifurcation theory, chaos, fractals, control theory, synchronization, and secure communication. His work in mobile chaotic robots and multi-scroll attractors has applications in cryptography, robotics, and artificial intelligence. He is particularly interested in the mathematical modeling of complex systems, including UAV dynamics, plasma systems, and satellite chaotic systems. His contributions extend to fractional calculus, where he has analyzed tumor-immune interactions and porous medium equations. His research also explores numerical methods for solving chaotic systems, emphasizing computational efficiency and accuracy. Dr. Muhammad’s interdisciplinary approach integrates mathematics, physics, and engineering, leading to innovative solutions for real-world problems. His recent publications in journals like Fractals and Nonlinear Dynamics demonstrate his ability to bridge theoretical insights with practical applications, positioning him as a key contributor to the fields of computational and applied mathematics.

Awards and Honors

Dr. Marwan Muhammad has been recognized for his academic excellence and research contributions. He was awarded a Gold Medal for securing the highest distinction in his undergraduate studies at Islamia College University, Peshawar. His research has been published in prestigious journals, highlighting his impact in the field of applied mathematics. His contributions to nonlinear dynamics and chaotic systems have earned him invitations to collaborate on international research projects. Additionally, his supervision of Master’s students and successful research collaborations reflect his commitment to academic mentorship. His work has received recognition from funding agencies such as the Higher Education Commission (HEC) of Pakistan, under which he successfully led research projects. While his accolades are notable, continued participation in international awards, securing competitive research grants, and expanding collaborations with leading global institutions would further elevate his reputation as a distinguished researcher in computational and applied mathematics.

Conclusion

Dr. Marwan Muhammad is an accomplished mathematician whose research in nonlinear dynamics, chaos, and fractals has significantly contributed to applied mathematics. With a strong educational foundation, international research experience, and extensive teaching background, he has established himself as a key figure in computational mathematics. His work has practical applications in cryptography, robotics, and control systems, making it relevant to both academia and industry. While his publications and collaborations are impressive, expanding his research network, securing additional funding, and engaging in interdisciplinary projects could further enhance his impact. His dedication to mentoring students and advancing mathematical knowledge underscores his potential for continued success. With sustained efforts, Dr. Muhammad is poised to become a leading authority in his field, driving innovation and discovery in mathematical sciences.

Publications Top Noted

  • Coexisting attractor in a gyrostat chaotic system via basin of attraction and synchronization of two nonidentical mechanical systems
    Authors: M. Marwan, V. Dos Santos, M.Z. Abidin, A. Xiong
    Year: 2022
    Citations: 11
    Source: Mathematics, 10(11), 1914

  • Retardational effect and Hopf bifurcations in a new attitude system of quad-rotor unmanned aerial vehicle
    Authors: M. Fiaz, M. Aqeel, M. Marwan, M. Sabir
    Year: 2021
    Citations: 11
    Source: International Journal of Bifurcation and Chaos, 31(09), 2150127

  • Control and numerical analysis for cancer chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, M. Shaukat
    Year: 2020
    Citations: 11
    Source: Archive of Applied Mechanics, 90, 2597-2608

  • Image cryptography communication using FPAA-based multi-scroll chaotic system
    Authors: K. Karawanich, J. Chimnoy, F. Khateb, M. Marwan, P. Prommee
    Year: 2024
    Citations: 8
    Source: Nonlinear Dynamics, 112(6), 4951-4976

  • Hopf bifurcation analysis for liquid-filled gyrostat chaotic system and design of a novel technique to control slosh in spacecrafts
    Authors: M. Sabir, S. Ahmad, M. Marwan
    Year: 2021
    Citations: 8
    Source: Open Physics, 19(1), 539-550

  • Investigation of fractional-ordered tumor-immune interaction model via fractional-order derivative
    Authors: G. Ali, M. Marwan, U.U. Rahman, M. Hleili
    Year: 2024
    Citations: 7
    Source: Fractals, 32(06), 1-10

  • Generalized Full Order Observer Subject to Incremental Quadratic Constraint (IQC) for a Class of Fractional Order Chaotic Systems
    Authors: M. Marwan, M.Z. Abidin, H. Kalsoom, M. Han
    Year: 2022
    Citations: 7
    Source: Fractal and Fractional, 6(4), 189

  • Generation of multi-scrolls in coronavirus disease 2019 (COVID-19) chaotic system and its impact on the zero-COVID policy
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 6
    Source: Scientific Reports, 13, 13954

  • Novel approaches for solving fuzzy fractional partial differential equations
    Authors: M. Osman, Y. Xia, M. Marwan, O.A. Omer
    Year: 2022
    Citations: 6
    Source: Fractal and Fractional, 6(11), 656

  • Montgomery identity and Ostrowski-type inequalities for generalized quantum calculus through convexity and their applications
    Authors: H. Kalsoom, M. Vivas-Cortez, M.Z. Abidin, M. Marwan, Z.A. Khan
    Year: 2022
    Citations: 6
    Source: Symmetry, 14(7), 1449

  • Adaptive observer design for systems with incremental quadratic constraints and nonlinear outputs—application to chaos synchronization
    Authors: L. Moysis, M. Tripathi, M.K. Gupta, M. Marwan, C. Volos
    Year: 2022
    Citations: 6
    Source: Archives of Control Sciences, 32

  • Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization
    Authors: M. Marwan, F. Li, S. Ahmad, N. Wang
    Year: 2025
    Citations: 5
    Source: Nonlinear Dynamics, 113(3), 2377-2390

  • Chaotic behavior of Lorenz-based chemical system under the influence of fractals
    Authors: M. Marwan, A. Xiong, M. Han, R. Khan
    Year: 2024
    Citations: 4
    Source: Match Communications in Mathematical and Computer Chemistry, 91(2), 307-336

  • Control analysis of virotherapy chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, A. Rafiq
    Year: 2022
    Citations: 4
    Source: Journal of Biological Dynamics, 16(1), 585-595

  • Hidden covers (wings) in the fractals of chaotic systems using advanced Julia function
    Authors: M. Marwan, M. Han, M. Osman
    Year: 2023
    Citations: 3
    Source: Fractals, 31(09), 2350125

  • Generalized external synchronization of networks based on clustered pandemic systems—The approach of COVID-19 towards influenza
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 3
    Source: PLOS ONE, 18(10), e0288796

  • Existence of Solution and Self‐Exciting Attractor in the Fractional‐Order Gyrostat Dynamical System
    Authors: M. Marwan, G. Ali, R. Khan
    Year: 2022
    Citations: 3
    Source: Complexity, 2022(1), 3505634

  • On the analytical approach of codimension-three degenerate Bogdanov-Takens (BT) bifurcation in satellite dynamical system
    Authors: M. Marwan, M.Z. Abidin
    Year: 2023
    Citations: 2
    Source: Journal of Nonlinear Modeling and Analysis

  • On the global well-posedness of rotating magnetohydrodynamics equations with fractional dissipation
    Authors: M.Z. Abidin, M. Marwan, H. Kalsoom, O.A. Omer
    Year: 2022
    Citations: 2
    Source: Fractal and Fractional, 6(6), 340

  • Semi-analytical analysis of a fractional-order pandemic dynamical model using non-local operator
    Authors: M. Marwan, G. Ali, F. Li, S.A.O. Abdallah, T. Saidani
    Year: 2025
    Source: Fractals

 

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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Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

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Prof. Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

Professor at Transilvania University of Brasov, Romania

Prof. Sorin Vlase is a distinguished researcher and full professor at Transilvania University of Brasov, Romania, specializing in Mechanics, Computational Mechanics, Finite Element Method, and Multibody Systems. With an academic career spanning nearly five decades, he has made significant contributions to mechanical engineering and applied mathematics. He has served as the head of multiple departments, organized prestigious international awards, and led over 15 scientific projects while participating in more than 50. His extensive publication record includes 244 ISI-indexed papers, 21 books, and numerous award proceedings. He has played a key role in advancing computational mechanics, composite materials, and automotive engineering, securing national and international research grants, including NATO-funded projects. His expertise is recognized through his editorial contributions, scientific committee memberships, and honorary professor titles. Prof. Vlase’s work continues to impact the global research community, making him a strong candidate for recognition as a leading researcher in his field.

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Education

Prof. Sorin Vlase has a strong academic background in mechanical engineering and applied mathematics. He earned his B.Sc. and M.Sc. in Mechanical Engineering with a specialization in Automotive Engineering from Transilvania University of Brasov (1971–1976). In addition, he pursued a degree in mathematics from the University of Bucharest (1977–1982), further strengthening his analytical expertise. He obtained his Ph.D. from Transilvania University of Brasov in 1989, focusing on advanced computational mechanics. His academic journey culminated in a Habilitation in Automotive Engineering in 2015, allowing him to mentor doctoral students. His multidisciplinary education has played a crucial role in shaping his expertise in mechanics, computational analysis, and finite element methods, making him a highly respected scholar in his field. Throughout his academic career, he has been associated with Transilvania University, significantly contributing to its research and educational framework through his teaching, mentorship, and leadership in various scientific projects.

Professional Experience

Prof. Vlase has had an extensive professional career, primarily at Transilvania University of Brasov, where he has been a faculty member since 1980. His career progression includes roles as an Assistant Professor (1980–1984), Lecturer (1984–1991), Associate Professor (1991–1996), and Full Professor (1996–present). He also served as the Head of the Department of Mechanics (2004–2011), Head of the Department of Automotive Engineering and Mechanics (2011–2012), and Head of the Department of Mechanical Engineering (2012–2020). Prior to joining academia, he worked as a research engineer at the Automotive Research Institute and ROMAN SA Brasov (1976–1980), gaining valuable industry experience. His expertise spans mechanical stability, numerical methods, kinematics, and dynamics of multibody systems. Additionally, he has organized numerous international awards and contributed to over 50 scientific projects, demonstrating his leadership and commitment to advancing mechanical engineering and applied sciences.

Research Interests

Prof. Vlase’s research is centered on Mechanics, Computational Mechanics, Finite Element Method, Vibrations, and Multibody Systems. His interdisciplinary approach integrates mathematical modeling, numerical simulations, and experimental mechanics, with applications in automotive engineering and composite materials. He has made significant contributions to computational analysis, particularly in the dynamic behavior of mechanical structures. His work also explores nonlinear analysis, virtual prototyping, and the optimization of mechanical systems. His research extends to white noise in urban environments and mechanical identifiability in automotive engineering, reflecting his ability to bridge theoretical research with real-world applications. His leadership in national and international research grants, including NATO-funded projects, underscores his influence in the field. Through his extensive publication record, including books, journal articles, and award proceedings, he continues to contribute to the development of cutting-edge technologies in engineering and applied mechanics.

Awards and Honors

Prof. Sorin Vlase has been widely recognized for his contributions to mechanical engineering and computational mechanics. He has received numerous accolades for his research, teaching, and leadership in the scientific community. He was awarded an Honorary Professorship at Ovidius University in Constanta, a testament to his influence in academia. He has served as an editor for 15 scientific publications and has been a key organizer of several prestigious international awards, including the Computational Mechanics and Virtual Engineering (COMEC) series and the Advanced Composite Materials Engineering (COMAT) awards. His research excellence has been acknowledged through multiple national and international grants, including NATO-sponsored projects. His role as a principal investigator in over 15 projects and a participant in more than 50 research initiatives further highlights his impact. Prof. Vlase’s commitment to advancing the field of mechanics has earned him a distinguished reputation in the global academic community.

Conclusion

Prof. Sorin Vlase is a highly accomplished researcher, educator, and leader in the fields of mechanics, computational analysis, and automotive engineering. His academic journey, spanning decades, has been marked by significant contributions to research, teaching, and scientific collaboration. With over 244 ISI-indexed papers, 21 books, and leadership in numerous research projects, he has left a lasting impact on engineering sciences. His interdisciplinary expertise, bridging mechanical engineering and applied mathematics, has led to innovative solutions in computational mechanics and material science. His role in organizing international awards and securing competitive research grants further underscores his dedication to advancing scientific knowledge. Recognized through prestigious awards and honorary titles, Prof. Vlase continues to shape the future of mechanical engineering. His extensive contributions make him a strong candidate for any distinguished research award, reflecting his outstanding achievements in academia, research, and professional service.

Publications Top Noted

  • Title: On the partition of energies for the backward in time problem of thermoelastic materials with a dipolar structure
    Authors: M. Marin, S. Vlase, R. Ellahi, M.M. Bhatti
    Year: 2019
    Citations: 127
    Source: Symmetry, 11(7), 863

  • Title: Motion equation for a flexible one-dimensional element used in the dynamical analysis of a multibody system
    Authors: S. Vlase, M. Marin, A. Öchsner, M.L. Scutaru
    Year: 2019
    Citations: 122
    Source: Continuum Mechanics and Thermodynamics, 31, 715-724

  • Title: Improved rigidity of composite circular plates through radial ribs
    Authors: C. Itu, A. Öchsner, S. Vlase, M.I. Marin
    Year: 2019
    Citations: 115
    Source: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

  • Title: New analytical method based on dynamic response of planar mechanical elastic systems
    Authors: M.L. Scutaru, S. Vlase, M. Marin, A. Modrea
    Year: 2020
    Citations: 113
    Source: Boundary Value Problems, 2020, 1-16

  • Title: A method for the study of the vibration of mechanical bars systems with symmetries
    Authors: S. Vlase, C. Năstac, M. Marin, M. Mihălcică
    Year: 2017
    Citations: 107
    Source: Acta Technica Napocensis-Series: Applied Mathematics, Mechanics, and Engineering

  • Title: Considerations on double porosity structure for micropolar bodies
    Authors: M. Marin, S. Vlase, M. Paun
    Year: 2015
    Citations: 107
    Source: AIP Advances, 5(3)

  • Title: On mixed problem in thermoelasticity of type III for Cosserat media
    Authors: M. Marin, A. Seadawy, S. Vlase, A. Chirila
    Year: 2022
    Citations: 100
    Source: Journal of Taibah University for Science, 16(1), 1264-1274

  • Title: On the decay of exponential type for the solutions in a dipolar elastic body
    Authors: M. Marin, R. Ellahi, S. Vlase, M.M. Bhatti
    Year: 2020
    Citations: 95
    Source: Journal of Taibah University for Science, 14(1), 534-540

  • Title: Coupled transverse and torsional vibrations in a mechanical system with two identical beams
    Authors: S. Vlase, M. Marin, M.L. Scutaru, R. Munteanu
    Year: 2017
    Citations: 95
    Source: AIP Advances, 7(6)

  • Title: Effect of microtemperatures for micropolar thermoelastic bodies
    Authors: M. Marin, D. Baleanu, S. Vlase
    Year: 2017
    Citations: 88
    Source: Structural Engineering and Mechanics, 61(3), 381-387

  • Title: Homogenization and averaging methods to predict elastic properties of pre-impregnated composite materials
    Authors: H. Teodorescu-Draghicescu, S. Vlase
    Year: 2011
    Citations: 88
    Source: Computational Materials Science, 50(4), 1310-1314

  • Title: Finite element method analysis of some fibre-reinforced composite laminates
    Authors: H. Teodorescu-Draghicescu, A. Stanciu, S. Vlase, L. Scutaru, M.R. Calin
    Year: 2011
    Citations: 78
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5(7), 782-785

  • Title: A method of eliminating Lagrangian multipliers from the equation of motion of interconnected mechanical systems
    Authors: S. Vlase
    Year: 1987
    Citations: 76
    Source: Not available

  • Title: Hysteresis effect in a three-phase polymer matrix composite subjected to static cyclic loadings
    Authors: H. Teodorescu-Draghicescu, S. Vlase, L. Scutaru, L. Serbina, M.R. Calin
    Year: 2011
    Citations: 74
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5 (March 2011)

  • Title: Influence of B4C and industrial waste fly ash reinforcement particles on the microstructural characteristics and mechanical behavior of aluminium (Al–Mg–Si-T6) hybrid metal matrix composites
    Authors: M.S. Kumar, M. Vasumathi, S.R. Begum, S.M. Luminita, S. Vlase, C.I. Pruncu
    Year: 2021
    Citations: 61
    Source: Journal of Materials Research and Technology, 15, 1201-1216

  • Title: Behavior of multiphase fiber-reinforced polymers under short time cyclic loading
    Authors: S. Vlase, H. Teodorescu-Draghicescu, D.L. Motoc, M.L. Scutaru, L. Serbina
    Year: 2011
    Citations: 59
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5, 419-423

  • Title: Mechanical behavior of CSM450 and RT800 laminates subjected to four-point bend tests
    Authors: A. Stanciu, H. Teodorescu-Drăghicescu, S. Vlase, M.L. Scutaru, M.R. Cǎlin
    Year: 2012
    Citations: 58
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 6 (March-April 2012)

  • Title: Advanced pultruded glass fibers-reinforced isophtalic polyester resin
    Authors: H. Teodorescu-Draghicescu, S. Vlase, M.D. Stanciu, I. Curtu, M. Mihalcica
    Year: 2015
    Citations: 56
    Source: Mater. Plast, 52(1), 62-64

  • Title: Properties of advanced new materials used in automotive engineering
    Authors: A. Modrea, S. Vlase, H. Teodorescu-Draghicescu, M. Mihalcica, M.R. Calin
    Year: 2013
    Citations: 55
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 7 (May-June 2013)

  • Title: Simulation of the elastic properties of some fiber-reinforced composite laminates under off-axis loading system
    Authors: S. Vlase, H. Teodorescu-Draghicescu, M.R. Calin, L. Serbina
    Year: 2011
    Citations: 55
    Source: Optoelectronics and Advanced Materials-Rapid Communications, 5 (April 2011)

 

Saif Ur Rehman | Applied Mathematics | Best Researcher Award

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Dr. Saif Ur Rehman | Applied Mathematics | Best Researcher Award

Research Assistant at Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy, Pakistan.

Saif Ur Rehman is a dedicated researcher in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations, with a strong academic and research background. He has worked as a Research Assistant at the National Research Council, Italy, and previously at the University of Calabria, Italy, and the University of Management and Technology, Pakistan. His research focuses on nanofluid dynamics, MHD flows, bioconvection, and heat transfer, leading to multiple Q1 and Q2 publications in high-impact journals such as Nanomaterials, Mathematics, and Waves in Random and Complex Media. He has received merit-based scholarships and a Research Publication Award, demonstrating his academic excellence. Additionally, he possesses strong technical skills in Python, MATLAB, C++, and LaTeX, aiding in his numerical modeling research. With international research exposure and a growing publication record, Saif Ur Rehman is an emerging scholar in applied mathematics, aiming to expand his contributions to mathematical modeling and computational sciences.

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Education

Saif Ur Rehman holds a Master of Science in Mathematics from the University of Management and Technology, Lahore, Pakistan (2019–2021), where he specialized in Advanced Numerical Analysis, Fluid Dynamics, and Differential Equations. His master’s thesis focused on the MHD Williamson Nanofluid Flow over a Slender Elastic Sheet in the Presence of Bioconvection. Before this, he earned a Bachelor of Science in Mathematics from Government College University, Faisalabad (2015–2019), securing a 3.55/4.00 GPA. His undergraduate studies included Fluid Mechanics, Numerical Analysis, Real and Complex Analysis, and C++ Programming, laying a strong foundation for his research in computational mathematics. Throughout his academic journey, he received multiple merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) and a fully funded master’s scholarship, reflecting his dedication and academic excellence. His education has equipped him with expertise in mathematical modeling, numerical simulations, and applied mathematics, which he continues to explore in his research.

Professional Experience

Saif Ur Rehman has gained extensive research experience through multiple roles at renowned international institutions. He is currently a Research Assistant at the National Research Council, Genoa, Italy (2024–Present), working on Optimal Robust Shape Control for Distributed Parameter Systems. Previously, he was a University Research Assistant at the University of Calabria, Italy (2023–2024), focusing on applications of heat and mass transfer. His earlier role as a Research Assistant at the University of Management and Technology, Pakistan (2021–2023) involved a major research project on Numerical Methods for Partial Differential Equations, where he contributed to multiple high-impact publications. Alongside research, he worked as a Visiting Lecturer in Mathematics (2021–2022), teaching Calculus, Linear Algebra, Fluid Dynamics, and Numerical Analysis at the undergraduate level. His professional experience demonstrates his ability to conduct applied mathematics research, develop numerical solutions, and contribute to theoretical and computational fluid dynamics.

Research Interest

Saif Ur Rehman’s research is deeply rooted in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations (PDEs), with a strong focus on heat and mass transfer, MHD flows, and bioconvection. He has extensively studied the dynamics of nanofluids, micropolar fluids, and dusty fluids under various physical constraints, contributing significantly to theoretical and computational modeling in applied mathematics. His work integrates Artificial Neural Networks (ANNs) and Machine Learning techniques to enhance numerical simulations and solve complex mathematical physics problems. His research contributions, published in Q1 and Q2 impact factor journals, cover topics such as the effects of Lorentz and Coriolis forces, Darcy–Forchheimer flow models, and stability analysis of fluid flows. With expertise in Python, MATLAB, C++, and LaTeX, he continues to explore innovative numerical methods for solving real-world mathematical problems, aiming to bridge the gap between theory and industrial applications.

Awards and Honors

Saif Ur Rehman has received multiple scholarships and research excellence awards in recognition of his academic achievements. He was honored with the Research Publication Award (2022) at the University of Management and Technology, Pakistan, for his outstanding contributions to applied mathematics research. His academic journey has been supported by fully funded merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) during his bachelor’s studies and a fully funded master’s scholarship for his postgraduate studies. Additionally, he was awarded a Prime Minister’s Laptop under the Government of Pakistan’s Higher Education Initiative, recognizing his academic excellence. Beyond research, he has demonstrated leadership and management skills, serving as a class representative throughout his bachelor’s studies and actively participating in academic societies and awards. His awards reflect his dedication to mathematical research, academic excellence, and contributions to the global scientific community.

Conclusion

Saif Ur Rehman is an emerging researcher in Computational Fluid Dynamics, Numerical Analysis, and Partial Differential Equations, with a strong academic background and international research exposure. His work in nanofluid dynamics, MHD flows, and heat transfer has resulted in high-impact publications and significant contributions to applied mathematics. His expertise in Python, MATLAB, and numerical modeling techniques has strengthened his research capabilities. Having worked at renowned institutions in Italy and Pakistan, he has gained experience in both theoretical and applied research, positioning himself as a promising scholar in mathematical modeling and computational sciences. His awards, scholarships, and research achievements demonstrate his dedication to scientific innovation. Moving forward, he aims to further his research in numerical simulations, machine learning applications in CFD, and advanced mathematical modeling, contributing to both academic advancements and real-world engineering applications.

Publications Top Noted

  • Title: Insight into significance of bioconvection on MHD tangent hyperbolic nanofluid flow of irregular thickness across a slender elastic surface

    • Authors: MZ Ashraf, SU Rehman, S Farid, AK Hussein, B Ali, NA Shah, W Weera
    • Year: 2022
    • Citations: 92
    • Source: Mathematics, 10(15), 2592

  • Title: Numerical computation of buoyancy and radiation effects on MHD micropolar nanofluid flow over a stretching/shrinking sheet with heat source

    • Authors: SU Rehman, A Mariam, A Ullah, MI Asjad, MY Bajuri, BA Pansera, et al.
    • Year: 2021
    • Citations: 86
    • Source: Case Studies in Thermal Engineering, 25, 100867

  • Title: Micropolar dusty fluid: Coriolis force effects on dynamics of MHD rotating fluid when Lorentz force is significant

    • Authors: Q Lou, B Ali, SU Rehman, D Habib, S Abdal, NA Shah, JD Chung
    • Year: 2022
    • Citations: 84
    • Source: Mathematics, 10(15), 2630

  • Title: The Casson dusty nanofluid: Significance of Darcy–Forchheimer law, magnetic field, and non-Fourier heat flux model subject to stretch surface

    • Authors: SU Rehman, N Fatima, B Ali, M Imran, L Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 72
    • Source: Mathematics, 10(16), 2877

  • Title: MHD Williamson nanofluid flow over a slender elastic sheet of irregular thickness in the presence of bioconvection

    • Authors: F Wang, MI Asjad, SU Rehman, B Ali, S Hussain, TN Gia, T Muhammad
    • Year: 2021
    • Citations: 63
    • Source: Nanomaterials, 11(9), 2297

  • Title: Significance of dust particles, nanoparticles radius, Coriolis and Lorentz forces: The case of Maxwell dusty fluid

    • Authors: Y Wei, SU Rehman, N Fatima, B Ali, L Ali, JD Chung, NA Shah
    • Year: 2022
    • Citations: 36
    • Source: Nanomaterials, 12(9), 1512

  • Title: Computational analysis for bioconvection of microorganisms in Prandtl nanofluid Darcy–Forchheimer flow across an inclined sheet

    • Authors: J Wang, Z Mustafa, I Siddique, M Ajmal, MMM Jaradat, SU Rehman, B Ali, et al.
    • Year: 2022
    • Citations: 23
    • Source: Nanomaterials, 12(11), 1791

  • Title: First solution of fractional bioconvection with power law kernel for a vertical surface

    • Authors: MI Asjad, S Ur Rehman, A Ahmadian, S Salahshour, M Salimi
    • Year: 2021
    • Citations: 18
    • Source: Mathematics, 9(12), 1366

  • Title: Dynamics of Eyring–Powell nanofluids when bioconvection and Lorentz forces are significant: The case of a slender elastic sheet of variable thickness with porous medium

    • Authors: A Manan, SU Rehman, N Fatima, M Imran, B Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 13
    • Source: Mathematics, 10(17), 3039

  • Title: Hydrodynamical study of couple stress fluid flow in a linearly permeable rectangular channel subject to Darcy porous medium and no-slip boundary conditions

    • Authors: M Ishaq, SU Rehman, MB Riaz, M Zahid
    • Year: 2024
    • Citations: 10
    • Source: Alexandria Engineering Journal, 91, 50-69

 

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 

Google Scholar
Scopus Profile
ORCID Profile

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

 

 

 

Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

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Prof. Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

Lecturer at Punjab group of colleges, Okara campus Pakistan

Muhammad Nasim Aftab is a dedicated mathematician and researcher specializing in Quantum Calculus, Integral Inequalities, and Algebra. He holds an MS in Mathematics from COMSATS University, Lahore, with a GPA of 3.62/4.00, and an M.Sc. in Mathematics from University of Education, Lahore. His research contributions include multiple publications in reputed journals, such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications, with several additional manuscripts under review. He has been a lecturer at Punjab Group of Colleges, Okara Campus, since 2014, teaching a wide range of mathematical subjects. His expertise extends to LaTeX, MATLAB, and Python, enhancing his computational research skills. Passionate about academia, he actively engages in problem-solving and mathematical innovations. While his work is commendable, furthering international collaborations, high-impact journal publications, and award participation could elevate his research impact. His dedication to mathematics and education makes him a strong contender for research excellence awards.

Professional Profile 

Google Scholar

Education

Muhammad Nasim Aftab holds a strong academic background in Mathematics, with both MS and MSc degrees in the field. He earned his Master of Science (MSc) in Mathematics from the University of Education, Lahore (Okara Campus) in 2016, securing a 3.40/4.00 GPA. His coursework covered advanced topics, including Real Analysis, Complex Analysis, Functional Analysis, Numerical Analysis, Differential Geometry, and Graph Theory. Pursuing further specialization, he completed his MS in Mathematics from COMSATS University, Islamabad (Lahore Campus) in 2021, achieving a 3.62/4.00 GPA. His MS thesis, titled “Cohen-Macaulayness in Codimension for Line Simplicial Complexes,” focused on algebraic and combinatorial aspects of simplicial complexes. Throughout his education, he excelled in subjects like Graph Theory, Fuzzy Logic, Fixed Point Theory, Mathematical Analysis, and Topology. His academic journey reflects a deep commitment to mathematical research, analytical thinking, and problem-solving, making him a strong researcher in the field.

Professional Experience

Muhammad Nasim Aftab has been serving as a Lecturer in Mathematics at Punjab Group of Colleges, Okara Campus, since 2014, where he has taught a diverse range of mathematical subjects, including Calculus, Abstract Algebra, Linear Algebra, Graph Theory, Number Theory, Differential Equations, and Mathematical Analysis. His extensive teaching experience spans both undergraduate and intermediate levels, reflecting his strong command over mathematical concepts and pedagogy. In addition to his teaching responsibilities, he has been actively engaged in research, publishing papers in reputed journals on topics such as Quantum Calculus, Integral Inequalities, and Algebra. His ability to integrate advanced mathematical theories with real-world applications showcases his expertise and dedication to the field. Furthermore, his proficiency in LaTeX, MATLAB, and Python enhances his ability to conduct numerical simulations and research-driven computations. His commitment to academia, research, and innovation makes him a valuable contributor to the field of mathematics.

Research Interest

Muhammad Nasim Aftab’s research interests lie in the fields of Quantum Calculus, Integral Inequalities, Algebra, and Graph Theory, with a strong focus on Symmetric Quantum Calculus and its Applications. His work explores Cohen-Macaulayness in Codimension for Line Simplicial Complexes, advancing algebraic topology and combinatorial mathematics. He is particularly interested in developing new mathematical inequalities in quantum and post-quantum settings, contributing to the theoretical foundations of applied mathematics. His recent research on symmetric Hahn calculus, Z-transforms in quantum calculus, and post-quantum integral inequalities highlights his dedication to expanding mathematical frameworks. Additionally, he is keen on exploring the interplay between advanced algebraic structures and real-world applications, particularly in optimization, numerical analysis, and cryptographic systems. With a strong background in functional analysis, topology, and differential geometry, he aims to contribute innovative solutions to complex mathematical problems while fostering interdisciplinary research collaborations.

Award and Honor

Muhammad Nasim Aftab has demonstrated exceptional dedication to the field of Mathematics, earning recognition for his contributions to Quantum Calculus, Integral Inequalities, and Algebra. As a lecturer at Punjab Group of Colleges, he has played a pivotal role in shaping young mathematical minds. His academic excellence, reflected in his MS in Mathematics with a 3.62/4.00 GPA from COMSATS University, has laid a strong foundation for his research career. His contributions to high-impact journals such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications highlight his research prowess, while multiple manuscripts under review further demonstrate his active engagement in advancing mathematical knowledge. Under the mentorship of Dr. Saad Ihsan Butt, he has published groundbreaking work on symmetric quantum inequalities. His proficiency in LaTeX, MATLAB, and Python adds a computational edge to his expertise. With a strong research portfolio and commitment to academia, he is a deserving candidate for prestigious awards and honors.

Conclusion

Muhammad Nasim Aftab is a dedicated researcher in mathematics with a strong academic background, evidenced by his MS in Mathematics from COMSATS University and a commendable research portfolio in Quantum Calculus, Integral Inequalities, and Graph Theory. His publications in reputable journals, along with multiple submitted manuscripts, highlight his commitment to advancing mathematical sciences. As a lecturer at Punjab Group of Colleges since 2014, he has significantly contributed to mathematics education, shaping the next generation of scholars. His proficiency in LaTeX, MATLAB, and Python enhances his computational research capabilities. While his research contributions are impressive, expanding collaborations, targeting high-impact journals, and increasing participation in international awards could further solidify his reputation. Pursuing a Ph.D. would also elevate his expertise and professional standing. Overall, his dedication to mathematical research and education makes him a strong candidate for recognition, and he holds great potential for further contributions to the field.

Publications Top Noted

  • Title: Some Hermite-Hadamard and Midpoint Type Inequalities in Symmetric Quantum Calculus
    • Authors: S.I. Butt, M.N. Aftab, H.A. Nabwey, S. Etemad
    • Year: 2024
    • Citations: 5
  • Title: Symmetric Quantum Inequalities on Finite Rectangular Plane
    • Authors: S.I. Butt, M.N. Aftab, Y. Seol
    • Year: 2024
    • Citations: 3
  • Title: Novel Notions of Symmetric Hahn Calculus and Related Inequalities
    • Authors: S.I. Butt, M.N. Aftab, A. Fahad, Y. Wang, B.B. Mohsin
    • Year: 2024
  • Title: Cohen-Macaulayness in Codimension for Line Simplicial Complexes
    • Authors: M.N. Aftab
    • Year: 2021