Muhammad Marwan | Applied Mathematics | Best Researcher Award

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

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.

Professional Profile 

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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.

Publications Top Noted

 

Shiqing Zhang | Applied Mathematics | Excellence in Applied Mathematics

Prof. Shiqing Zhang | Applied Mathematics | Excellence in Applied Mathematics

Math Department at Sichuan University, China

Dr. Shiqing Zhang is a distinguished professor of mathematics at Sichuan University, specializing in Nonlinear Functional Analysis, Celestial Mechanics, Differential Equations, and Mathematical Physics. With a Ph.D. from Nankai University (1991), he has made significant contributions to applied mathematics, particularly in optimization algorithms, N-body problems, and mathematical modeling. His extensive publication record in high-impact journals and multiple National Science Foundation of China (NSFC) research grants highlight his sustained research excellence. His work has applications in astrophysics, computational mathematics, and engineering. Recognized early as a Distinguished Young Teacher at Chongqing University (1996), Dr. Zhang has since continued to advance the field with groundbreaking research. While his academic contributions are remarkable, expanding industry collaborations and international recognition could further enhance his impact. Overall, his expertise and achievements make him a strong candidate for the Excellence in Applied Mathematics Award, with research that bridges theoretical mathematics and real-world applications.

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Education 

Dr. Shiqing Zhang has a strong academic background in mathematics, beginning with his B.S. degree from Chongqing University in 1985, followed by a Master’s degree from the same institution in 1987. He pursued advanced studies in mathematical sciences and earned his Ph.D. from Nankai University in 1991. Throughout his academic journey, Dr. Zhang has focused on deep theoretical aspects of mathematics, particularly in applied fields such as functional analysis, celestial mechanics, and differential equations. His education at renowned Chinese universities laid the foundation for his extensive contributions to mathematical research. His academic progression reflects a deep commitment to advancing mathematical knowledge and solving complex mathematical problems. With rigorous training in both pure and applied mathematics, Dr. Zhang’s educational background provided him with the analytical skills and problem-solving abilities necessary to excel in research, making him a leading figure in applied mathematics and a strong candidate for prestigious academic recognition.

Professional Experience 

Dr. Shiqing Zhang has built a distinguished academic career spanning over three decades. He began his professional journey at Chongqing University, where he served as an Assistant Professor (1988–1993) and later as an Associate Professor (1993–1997). His exceptional contributions to mathematics led to his promotion as a Professor at Chongqing University in 1997, a position he held until 2002. He then moved to Yangzhou University (2002–2005) as a Professor before joining Sichuan University in 2005, where he has been a Professor of Mathematics ever since. His professional trajectory demonstrates a continuous commitment to academia, teaching, and research. Over the years, he has played a crucial role in mentoring students, leading research initiatives, and contributing to the advancement of applied mathematics. His vast teaching experience, combined with his research contributions, establishes him as a well-respected authority in the field of mathematical sciences.

Research Interest

Dr. Shiqing Zhang’s research interests lie in Nonlinear Functional Analysis, Celestial Mechanics, Differential Equations, and Mathematical Physics. His work focuses on developing analytical methods to solve complex problems in applied mathematics. He has made significant contributions to the study of central configurations in celestial mechanics, periodic solutions in Hamiltonian systems, and optimization problems using variational methods. His research extends to iterative algorithms, monotone inclusion problems, and function space analysis, which have applications in physics, engineering, and computational sciences. Dr. Zhang has published extensively in high-impact mathematical journals, providing innovative solutions to long-standing problems. His work on mountain pass theorem applications, action-minimizing solutions, and functional inequalities showcases his depth in applied mathematics. By bridging theory with real-world applications, his research continues to shape developments in both pure and applied mathematical disciplines, reinforcing his position as a leading researcher in the field.

Awards and Honors 

Dr. Shiqing Zhang has been recognized for his contributions to mathematics through numerous research grants and honors. He has received multiple research grants from the National Natural Science Foundation of China (NSFC), spanning several years, including major funding from 1996 to 2024. These grants have supported his research in applied mathematics, particularly in nonlinear functional analysis and celestial mechanics. In recognition of his excellence in teaching and research, he was awarded the title of Distinguished Young Teacher at Chongqing University in 1996, highlighting his impact on mathematics education. His ability to secure continuous funding reflects the high quality and significance of his research contributions. Dr. Zhang’s strong academic credentials, numerous publications, and funded projects illustrate his expertise and commitment to mathematical advancements. These accolades confirm his role as a key figure in applied mathematics, making him a distinguished candidate for awards recognizing excellence in research.

Conclusion

Dr. Shiqing Zhang’s extensive contributions to applied mathematics, nonlinear functional analysis, and celestial mechanics establish him as a leading researcher in the field. With a solid educational foundation from top Chinese universities and a distinguished academic career spanning over three decades, he has significantly impacted both research and education. His numerous research grants from NSFC, coupled with high-quality publications in renowned mathematical journals, demonstrate the depth and influence of his work. His recognition as a Distinguished Young Teacher at Chongqing University further underscores his contributions to academia. Dr. Zhang’s research in differential equations, optimization, and mathematical physics bridges theoretical advancements with practical applications, enhancing the understanding of complex mathematical models. Given his academic excellence, research achievements, and long-standing contributions, he is a highly suitable candidate for the Excellence in Applied Mathematics Award, reflecting his dedication to advancing mathematical sciences globally.

Publications Top Noted

 

Sorin Vlase | Applied Mathematics | Excellence in Applied Mathematics

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.

Professional Profile 

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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)