Madjid Eshaghi Gordji | Game Theory | Best Researcher Award

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Prof. Madjid Eshaghi Gordji | Game Theory | Best Researcher Award

Professor of Mathematics; Head of research team gor this paper at Semnan University, Iran

Prof. Madjid Eshaghi Gordji is a distinguished mathematician and professor at Semnan University, Iran, specializing in Functional Analysis, Banach Algebras, Operator Theory, and Game Theory. With a prolific research career, he has published extensively in high-impact journals such as PNAS, Advances in Mathematics, and Nonlinear Analysis TMA. He serves as the Editor-in-Chief of the International Journal of Nonlinear Analysis and Applications (IJNAA) and holds editorial positions in numerous prestigious journals. A highly cited researcher, he has been recognized among the top 1% of scientists by Thomson Reuters and Essential Science Indicators. He has also chaired major mathematical awards and actively contributes as a reviewer for leading mathematical societies, including the AMS and EMS. His outstanding contributions to pure and applied mathematics, combined with his leadership in academic publishing, make him a strong candidate for the Best Researcher Award, reflecting his global impact and commitment to advancing mathematical sciences.

Professional Profile 

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Education

Prof. Madjid Eshaghi Gordji obtained his Ph.D. in Mathematics from Shahid Beheshti University, Iran, in 2004, under the supervision of Prof. Seyed Alireza Hosseiniun. Prior to this, he earned his M.Sc. in Mathematics from the Institute of Mathematics at the University for Teacher Education in 1999, where he was mentored by Prof. Alireza Medghalchi. His academic journey began with a B.Sc. in Mathematics from Ferdowsi University of Mashhad in 1996. His strong educational foundation laid the groundwork for his expertise in functional analysis, operator theory, and nonlinear mathematical models. His deep mathematical insight and rigorous training have enabled him to make significant contributions to the field, particularly in abstract harmonic analysis, fixed point theory, and stability of functional equations. His academic background reflects his commitment to mathematical excellence and innovation, establishing him as a leading researcher in the mathematical sciences.

Professional Experience

Prof. Madjid Eshaghi Gordji is a full professor at Semnan University, where he has been actively engaged in teaching, mentoring, and research. He has played a pivotal role in the advancement of mathematical sciences through his editorial and reviewing contributions to high-impact journals. He is the Editor-in-Chief of the International Journal of Nonlinear Analysis and Applications (IJNAA) and has served as an editor for numerous prestigious mathematical journals. Additionally, he has been a reviewer for the American Mathematical Society (AMS), the European Mathematical Society (EMS), and leading ISI-indexed journals. His expertise has been recognized through invitations to chair scientific committees at international awards, such as the 45th Annual Iranian Mathematics Conference. His extensive academic involvement, combined with his editorial leadership and research contributions, has established him as an influential figure in the global mathematical community.

Research Interest

Prof. Eshaghi Gordji’s research spans several fundamental areas in mathematics, including Functional Analysis, Banach Algebras, Abstract Harmonic Analysis, Operator Theory, and Fixed Point Theory. His work extends to applied fields such as Game Theory, Crisis Mathematics, and Cognitive Sciences, demonstrating his ability to bridge theoretical mathematics with real-world applications. He has made significant contributions to the stability of functional equations, fuzzy normed spaces, and nonlinear differential equations. His research impact is reflected in numerous high-impact publications in esteemed journals, including Advances in Mathematics, Nonlinear Analysis TMA, and Journal of Mathematical Analysis and Applications. His interdisciplinary approach and problem-solving capabilities have contributed to advancements in both pure and applied mathematics, making his research highly relevant and influential in the academic and scientific community.

Awards and Honors

Prof. Madjid Eshaghi Gordji has received multiple prestigious accolades for his contributions to mathematics. He was recognized as a distinguished researcher in Basic Sciences at Semnan University for four consecutive years (2008–2011). In 2011, he was honored as a national distinguished researcher among academic members of Iranian universities, receiving a certificate from the Ministry of Science, Research, and Technology. His international recognition includes being listed as a Highly Cited Researcher by Essential Science Indicators (ESI) and being among the Top 1% Scientists by Thomson Reuters in 2013 and 2014. His contributions have positioned him as a leading mathematician with global influence. His ability to conduct pioneering research and contribute significantly to the academic community has earned him a reputation as an exceptional researcher in mathematical sciences.

Conclusion

Prof. Madjid Eshaghi Gordji is an accomplished mathematician with a remarkable academic and research career. His expertise in functional analysis, operator theory, and nonlinear mathematical models has led to groundbreaking contributions in mathematics. Through his leadership roles as an editor, reviewer, and award chair, he has shaped the direction of mathematical research on an international scale. His numerous accolades, high-impact publications, and global recognition reflect his dedication to advancing mathematical sciences. With his outstanding academic achievements and research impact, he is an ideal candidate for the Best Researcher Award. His work continues to inspire and influence the next generation of mathematicians, reinforcing his position as a distinguished scholar in the mathematical community.

Publications Top Noted

  • Title: Game Theory and a New Insight into How the Cuban Missile Crisis Was Resolved

    • Authors: Somayeh Shaabani, Madjid Eshaghi Gordji
    • Year: 2023
    • Source: International Journal of Cuban Studies

  • Title: Hyperstability of Ternary Jordan Homomorphisms on Unital Ternary C-Algebras*

    • Authors: Madjid Eshaghi Gordji, Vahid Keshavarz
    • Year: 2023

  • Title: Banach Valued Algebras Defined by a Family of Banach Algebras

    • Authors: Ali Ebadian, Madjid Eshaghi Gordji, Ali Jabbari
    • Year: 2023
    • Source: Journal of Algebra and its Applications

  • Title: Induced Topologies on Certain Banach Algebras

    • Authors: Madjid Eshaghi Gordji, Ali Ghaffari, Mohammad Bagher Sahabi
    • Year: 2023
    • Source: Filomat

  • Title: A Weak Form of Amenability of Topological Semigroups and Its Applications in Ergodic and Fixed Point Theories

    • Authors: Ali Ebadian, Madjid Eshaghi Gordji, Ali Jabbari
    • Year: 2023
    • Citations: 1
    • Source: Collectanea Mathematica

  • Title: A New Credit and Loan Lending Strategy and Credit in Banking Systems: An Evolutionary Game Theory Approach

    • Authors: Zohreh Lashgari, Alireza Bahiraie, Madjid Eshaghi Gordji
    • Year: 2022
    • Citations: 2
    • Source: Journal of Applied Mathematics

  • Title: Evolutionary Game to Model Risk Appetite of Individual Investors

    • Authors: Zohreh Lashgari, Madjid Eshaghi Gordji, Alireza Bahiraie, Abdul K.M. Azhar
    • Year: 2022
    • Citations: 1
    • Source: Advances in Systems Science and Applications

  • Title: Hyperstability of Orthogonally Pexider Lie Functional Equation: An Orthogonally Fixed Point Approach

    • Authors: Vahid Keshavarz, Sedigheh Jahedi, Madjid Eshaghi Gordji, Shayan Bazeghi
    • Year: 2022
    • Citations: 3
    • Source: Thai Journal of Mathematics

  • Title: Some Frank Aggregation Operators Based on the Interval-Valued Intuitionistic Fuzzy Numbers

    • Authors: Maryam Oraki, Madjid Eshaghi Gordji, Halimeh Ardakani
    • Year: 2021
    • Citations: 9
    • Source: International Journal of Nonlinear Analysis and Applications

  • Title: Altered Structural Balance of Resting-State Networks in Autism

    • Authors: Zahra Moradimanesh, Reza Khosrowabadi, Madjid Eshaghi Gordji, Gholamreza Jafari
    • Year: 2021
    • Citations: 15
    • Source: Scientific Reports

 

Katlego Sebogodi | Mathematical Modeling | Best Researcher Award

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Dr. Katlego Sebogodi | Mathematical Modeling | Best Researcher Award

Lecturer at University of South Africa, South Africa

Dr. Katlego Sebogodi is a distinguished mathematician and educator with a PhD in Mathematics from the University of Witwatersrand. His research focuses on asymmetric topology, modular quasi-metric spaces, fluid mechanics, and AI-driven mathematical modeling. He has published in reputable journals and supervises postgraduate students in advanced mathematical research. With extensive teaching experience at institutions like the University of South Africa and the University of Johannesburg, he has contributed significantly to mathematics education. A recipient of the 2021 UJ Community Engagement Prize and the 2024 Department of Mathematics Educhanger of the Month award, Dr. Sebogodi actively fosters STEM education through his NPO, MATHSCIEMATICS, and authorship of STAR MATHS and STAR PHYSICS study guides. His leadership roles in academic committees, peer review contributions, and participation in national and international awards highlight his commitment to advancing mathematical sciences. His research, mentorship, and outreach efforts make him a strong candidate for the Best Researcher Award.

Professional Profile

 Scopus Profile

Education

Dr. Katlego Sebogodi pursued his academic journey in mathematics with a strong foundation at North-West University, where he earned a BSc in Mathematical Sciences (2012-2013), followed by a BSc Honours in Mathematics and Applied Mathematics (2014). He further specialized with an MSc in Mathematics (2015-2016), focusing on advanced mathematical structures. Driven by a passion for mathematical research, he completed his PhD at the University of Witwatersrand (2018-2019) under the supervision of Prof. Olivier Olela Otafudu. His doctoral research explored topological aspects of modular quasi-metric spaces, contributing to the broader understanding of asymmetric topology and metric structures. His academic progression showcases a commitment to deepening his expertise in mathematical sciences, laying a strong foundation for his subsequent teaching, research, and professional contributions. His educational background is complemented by active participation in mathematical awards and workshops, ensuring continuous engagement with emerging trends in the field.

Professional Experience

Dr. Sebogodi has extensive teaching and academic experience across various institutions. Currently, he is a faculty member at the University of South Africa (2025–present), where he lectures on Pre-Calculus. Previously, he served at the University of Johannesburg (2018–2024), delivering courses such as Multivariable Calculus, Topology, and Linear Algebra. His earlier teaching roles include Sol Plaatje University (2018), North-West University (2015, 2017), and multiple secondary schools, where he facilitated mathematics courses for different levels. Beyond teaching, he has played leadership roles in academic committees, including serving as Head of Community Engagement and Tutor Management at the University of Johannesburg. Additionally, he actively supervises postgraduate research, guiding students in fields such as modular metric spaces, AI applications in fluid mechanics, and mathematical modeling for sustainability. His professional trajectory demonstrates a commitment to advancing mathematical education, mentoring young researchers, and contributing to institutional academic excellence.

Research Interests

Dr. Sebogodi’s research spans multiple domains within mathematics and applied sciences. His primary focus is asymmetric topology, particularly modular quasi-pseudometric spaces, contributing to advancements in non-standard metric structures. Additionally, he explores the intersection of mathematics and technology, with interests in data science, machine learning, and artificial intelligence. His work on fluid mechanics involves utilizing physics-informed neural networks (PINNs) to solve complex mathematical models, including rogue wave phenomena. In biomathematics, he investigates mathematical models for sustainability, crime cycles, and resource management. His interdisciplinary approach enables him to bridge theoretical mathematics with practical applications, fostering collaborations across scientific domains. His research outputs include publications in peer-reviewed journals, award presentations, and ongoing supervision of student projects in AI-driven mathematical modeling. Through his research, Dr. Sebogodi aims to contribute innovative mathematical solutions to real-world problems while expanding the frontiers of modern mathematical sciences.

Awards and Honors

Dr. Sebogodi has been recognized for his outstanding contributions to mathematics and education. In 2021, he received the University of Johannesburg Community Engagement Prize for his dedication to outreach and mentorship in mathematics. His commitment to excellence in teaching earned him the 2024 Department of Mathematics Educhanger of the Month award, acknowledging his role as a transformative educator. Beyond institutional recognition, he has been actively involved in community-driven initiatives, such as authoring the STAR MATHS and STAR PHYSICS study guides for high school students. He is also the founder and CEO of MATHSCIEMATICS, an NPO dedicated to supporting mathematics and science education. His contributions to academic service include refereeing for mathematical journals, organizing awards, and serving on curriculum development committees. These accolades reflect his passion for education, research, and community impact, positioning him as an influential figure in mathematical sciences.

Conclusion

Dr. Katlego Sebogodi exemplifies a distinguished scholar and educator committed to advancing mathematics through research, teaching, and community engagement. His academic journey, from earning a PhD in mathematics to mentoring postgraduate students, highlights his dedication to knowledge creation and dissemination. His expertise in asymmetric topology, data science, and mathematical modeling reflects his ability to bridge theoretical mathematics with real-world applications. Beyond academia, his community outreach initiatives and leadership roles showcase his commitment to empowering students and researchers. Recognized for his excellence in teaching and research, he has received multiple awards for his contributions to education and mathematical sciences. As an active researcher, mentor, and educator, Dr. Sebogodi continues to shape the mathematical landscape, making him a deserving candidate for prestigious research and academic awards. His work serves as an inspiration for the next generation of mathematicians, reinforcing the critical role of mathematical sciences in technological and societal advancements.

Publications Top Noted

Title: A Simple Model of the Draupner Wave Experiment
Authors: G.C. Hocking, E. Nel, A. Markham, S. Ahmedai, N. Freeman
Year: 2025
Citations: 0 (as of now)
Source: Partial Differential Equations in Applied Mathematics

Shiqing Zhang | Applied Mathematics | Excellence in Applied Mathematics

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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.

Professional Profile 

Scopus Profile

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

 

Zhanggen Zhu | Game Theory | Best Researcher Award

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Dr. Zhanggen Zhu | Game Theory | Best Researcher Award

Supervisor at TongJi University, China

Dr. Zhanggen Zhu is a dedicated researcher specializing in theoretical mathematics, robotics, artificial intelligence, computer graphics, and microfluidics. A mechanical engineering graduate from Guangzhou University, he has contributed significantly to research on the “Transient Transport Mechanism of Droplets in CD-like Microfluidic Chips.” His strong publication record in esteemed journals like the Journal of Micromechanics and Microengineering and Mathematics highlights his academic impact. As a reviewer for multiple international journals, he plays a crucial role in maintaining research quality. Currently serving as a research assistant in artificial intelligence at Tongji University, Dr. Zhu continues to push the boundaries of technological advancements. While his expertise is well-established, expanding international collaborations, leading independent research projects, and increasing real-world applications of his work could further enhance his global recognition. With his interdisciplinary knowledge and commitment to innovation, Dr. Zhanggen Zhu is a strong candidate for prestigious research awards and academic leadership.

Professional Profile 

Scopus Profile

Education

Dr. Zhanggen Zhu earned his master’s degree in mechanical engineering from Guangzhou University, where he developed a strong foundation in theoretical mathematics, robotics, artificial intelligence, and computer graphics. During his graduate studies, he actively participated in research on the “Transient Transport Mechanism of Droplets in CD-like Microfluidic Chips,” showcasing his ability to bridge engineering and applied mathematics. His academic journey has been marked by a deep engagement with interdisciplinary research, particularly in microfluidic technology and AI-driven automation. Dr. Zhu’s education has equipped him with analytical and computational skills essential for solving complex scientific and engineering challenges. His commitment to academic excellence and innovation is evident through his research contributions, which continue to influence emerging technologies. His academic background serves as the cornerstone for his professional career, enabling him to explore advanced topics in artificial intelligence, robotics, and fluid mechanics, all of which have significant industrial and academic implications.

Professional Experience

Dr. Zhanggen Zhu has accumulated extensive research experience in diverse fields, including theoretical mathematics, robotics, artificial intelligence, computer graphics, and microfluidic technology. Currently, he serves as a research assistant in artificial intelligence at Tongji University, where he actively contributes to advancing AI-driven solutions for complex scientific and engineering problems. His previous experience includes working on cutting-edge microfluidic research, focusing on the behavior of droplets in CD-like microfluidic chips, an area critical for applications in biomedical diagnostics and chemical analysis. Additionally, Dr. Zhu is an esteemed peer reviewer for multiple international journals, where he evaluates research papers in mathematics, AI, and engineering, highlighting his expertise and credibility in academia. His professional journey reflects a strong commitment to interdisciplinary research, innovation, and collaboration. With a growing portfolio of impactful research contributions, he continues to push the boundaries of knowledge, making significant strides in both theoretical and applied sciences.

Research Interests

Dr. Zhanggen Zhu’s research interests span multiple disciplines, including theoretical mathematics, artificial intelligence, robotics, microfluidics, and computer graphics. He is particularly fascinated by the intersection of AI and engineering, working on algorithms that enhance automation, pattern recognition, and computational efficiency. His work in microfluidic chip technology has applications in medical diagnostics, drug delivery systems, and biochemical research, demonstrating the real-world impact of his studies. In the field of robotics, Dr. Zhu explores AI-driven control mechanisms that optimize robotic movements, making them more adaptive and intelligent. His contributions to computer graphics and mathematical modeling further highlight his ability to integrate complex systems for practical applications. His interdisciplinary research approach allows him to contribute to multiple fields simultaneously, reflecting his adaptability and forward-thinking mindset. By focusing on the real-world application of AI and engineering principles, Dr. Zhu aims to drive innovation in both academic research and industrial applications.

Awards and Honors

Dr. Zhanggen Zhu has gained recognition for his contributions to mathematics, artificial intelligence, and microfluidic research, earning several academic honors and research grants throughout his career. His research papers have been published in high-impact journals, including the Journal of Micromechanics and Microengineering and Mathematics, further solidifying his reputation in the global research community. As a reviewer for international journals, he has been entrusted with evaluating groundbreaking research, reflecting the high regard in which he is held by his peers. Additionally, his ongoing research position at Tongji University in artificial intelligence underscores his academic excellence and expertise. While he has already established a strong professional profile, he continues to seek prestigious research awards and fellowships that recognize outstanding contributions in interdisciplinary science. His commitment to advancing AI, robotics, and microfluidic technologies makes him a promising candidate for future accolades in his field.

Conclusion

Dr. Zhanggen Zhu is a versatile and forward-thinking researcher whose expertise spans mathematics, artificial intelligence, robotics, and microfluidic technology. His educational background in mechanical engineering provided him with a solid foundation for interdisciplinary research, which he continues to build upon through his professional experience and academic contributions. His research interests in AI-driven engineering solutions, mathematical modeling, and fluid mechanics position him as an innovator in both theoretical and applied sciences. With a strong publication record, a growing international reputation, and contributions as a reviewer, Dr. Zhu is an emerging leader in his field. While he has already made significant strides, expanding his global collaborations, independent research projects, and real-world applications will further enhance his impact. His dedication to pushing the boundaries of science and technology makes him a strong candidate for prestigious research awards and leadership roles, shaping the future of AI, robotics, and mathematical applications in engineering.

Publications Top Noted

 

Ran Zhang | Applied Mathematics | Best Researcher Award

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Dr. Ran Zhang | Applied Mathematics | Best Researcher Award

Researcher at Nanjing University of Posts and Telecommunications, China

Ran Zhang is a dedicated researcher specializing in differential operator spectrum theory and inverse problems, with a strong academic record and impactful contributions to mathematical analysis. He has published extensively in prestigious journals such as Journal of Differential Equations, Applied Mathematics Letters, and Mathematical Methods in Applied Sciences, addressing critical problems in Sturm-Liouville operators, Dirac systems, and inverse spectral analysis. As the host of national research projects, including those funded by the National Natural Science Foundation of China and Jiangsu Provincial Natural Science Foundation of China, he has demonstrated leadership in advancing theoretical mathematics. His work has significant implications for mathematical physics and engineering applications. While already an accomplished researcher, expanding into applied interdisciplinary domains and increasing global collaborations could further enhance his influence. With a strong foundation in theoretical and computational approaches, Ran Zhang continues to push the boundaries of mathematical research, making him a valuable contributor to the field.

Professional Profile

Scopus Profile
ORCID Profile

Education

Ran Zhang has established a strong academic foundation in mathematics, particularly in differential operator spectrum theory and inverse problems. His educational journey has been marked by rigorous training in advanced mathematical techniques, equipping him with the analytical and computational skills necessary for solving complex problems in spectral analysis. Throughout his academic career, he has specialized in inverse problems, Sturm-Liouville operators, and Dirac systems, which are fundamental to mathematical physics and engineering applications. His deep understanding of functional analysis and operator theory has enabled him to contribute innovative solutions to long-standing mathematical challenges. His education has been further enriched through collaborations with esteemed mathematicians and participation in high-level mathematical research projects. This solid academic background has laid the groundwork for his contributions to the field, positioning him as a leading researcher in spectral theory and inverse problems.

Professional Experience

Ran Zhang has built an impressive professional career focused on mathematical research and inverse spectral analysis. As a host of research projects funded by the National Natural Science Foundation of China and the Jiangsu Provincial Natural Science Foundation of China, he has played a pivotal role in advancing theoretical mathematics. His work has been recognized in esteemed mathematical journals, reflecting the high impact of his research in spectral theory, Sturm-Liouville operators, and discontinuous differential equations. He has actively contributed to solving complex mathematical challenges and has worked closely with research teams, collaborating with renowned mathematicians across institutions. His experience extends beyond academia, as his research has potential applications in engineering, quantum mechanics, and applied physics. His ability to bridge theoretical mathematics with practical applications makes him a distinguished figure in the field. As he progresses in his career, expanding into interdisciplinary research and mentoring young mathematicians could further solidify his professional legacy.

Research Interest

Ran Zhang’s primary research interest lies in differential operator spectrum theory and its inverse problems, focusing on Sturm-Liouville operators, Dirac systems, and inverse spectral analysis. His work explores the uniqueness, reconstruction, and solvability of inverse problems, often dealing with differential operators that exhibit discontinuities. He is particularly interested in solving inverse nodal and resonance problems, which have profound implications in mathematical physics, quantum mechanics, and engineering applications. His research also extends to periodic and impulsive differential equations, addressing their spectral properties and reconstruction techniques. By developing new mathematical models and analytical methods, he aims to enhance the theoretical understanding of inverse problems while providing practical solutions for computational mathematics. His contributions to spectral theory play a vital role in advancing numerical methods and mathematical modeling, further strengthening the connection between pure and applied mathematics. His future research aims to expand into multidisciplinary applications, fostering collaborations across physics, engineering, and computational sciences.

Awards and Honors

Ran Zhang’s research excellence has been recognized through several prestigious honors and awards. As the recipient of funding from the National Natural Science Foundation of China and the Jiangsu Provincial Natural Science Foundation of China, he has demonstrated his ability to lead impactful research projects. His published works in top-tier mathematical journals, such as the Journal of Differential Equations, Applied Mathematics Letters, and Mathematical Methods in Applied Sciences, underscore his significant contributions to spectral theory and inverse problems. His research achievements have also been acknowledged through collaborations with internationally renowned mathematicians, highlighting his growing influence in the mathematical community. His ability to solve complex problems in spectral analysis has positioned him as a leading researcher in the field. With an increasing number of citations and recognition from the global mathematics community, Ran Zhang continues to make substantial contributions that are shaping modern mathematical research.

Conclusion

Ran Zhang is a distinguished researcher whose work in differential operator spectrum theory and inverse problems has made a profound impact on mathematical sciences. His strong academic background, extensive research experience, and leadership in national research projects position him as a key figure in mathematical analysis. His research has provided significant advancements in spectral theory, Sturm-Liouville operators, and inverse nodal problems, which are crucial for engineering, quantum mechanics, and mathematical physics. While he has already gained significant recognition, expanding his work into interdisciplinary applications and international collaborations could further elevate his influence. His commitment to mathematical innovation, coupled with his problem-solving skills and dedication to research, ensures that he will continue to contribute valuable insights to the field. As he moves forward, his work will likely shape the future of spectral analysis, making lasting contributions to both theoretical and applied mathematics.

Publications Top Noted

  • Title: Inverse spectral problems for the Dirac operator with complex-valued weight and discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang, Natalia P. Bondarenko
    Year: 2021
    Citation: Journal of Differential Equations, 278: 100-110
    Source: Journal of Differential Equations

  • Title: Uniqueness and reconstruction of the periodic Strum-Liouville operator with a finite number of discontinuities
    Authors: Ran Zhang, Kai Wang, Chuan-Fu Yang
    Year: 2024
    Citation: Applied Mathematics Letters, 147: 108853
    Source: Applied Mathematics Letters

  • Title: Uniqueness theorems for the impulsive Dirac operator with discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2022
    Citation: Analysis and Mathematical Physics, 12(1): 1-16
    Source: Analysis and Mathematical Physics

  • Title: Determination of the impulsive Sturm-Liouville operator from a set of eigenvalues
    Authors: Ran Zhang, Xiao-Chuan Xu, Chuan-Fu Yang, Natalia P. Bondarenko
    Year: 2020
    Citation: Journal of Inverse and Ill-posed Problems, 28(3): 341-348
    Source: Journal of Inverse and Ill-posed Problems

  • Title: Solving the inverse problems for discontinuous periodic Strum-Liouville operator by the method of rotation
    Authors: Ran Zhang, Kai Wang, Chuan-Fu Yang
    Year: 2024
    Citation: Results in Mathematics, 79(1): 49
    Source: Results in Mathematics

  • Title: Ambarzumyan-type theorem for the impulsive Sturm-Liouville operator
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2021
    Citation: Journal of Inverse and Ill-posed Problems, 29(1): 21-25
    Source: Journal of Inverse and Ill-posed Problems

  • Title: Solvability of an inverse problem for discontinuous Sturm-Liouville operators
    Authors: Ran Zhang, Natalia P. Bondarenko, Chuan-Fu Yang
    Year: 2021
    Citation: Mathematical Methods in Applied Sciences, 44(1): 124-139
    Source: Mathematical Methods in Applied Sciences

  • Title: Reconstruction of the Strum-Liouville operator with periodic boundary conditions and discontinuity
    Authors: Ran Zhang, Chuan-Fu Yang
    Year: 2022
    Citation: Mathematical Methods in Applied Sciences, 45(8): 4244-4251
    Source: Mathematical Methods in Applied Sciences

  • Title: Determination of the impulsive Dirac systems from a set of eigenvalues
    Authors: Ran Zhang, Chuan-Fu Yang, Kai Wang
    Year: 2023
    Citation: Mathematics, 11(19): 4086
    Source: Mathematics

  • Title: Inverse nodal problem for the Sturm-Liouville operator with a weight
    Authors: Ran Zhang, Murat Sat, Chuan-Fu Yang
    Year: 2020
    Citation: Applied Mathematics – A Journal of Chinese Universities Series B, 35(2): 193-202
    Source: Applied Mathematics – A Journal of Chinese Universities Series B

 

Mohammed Hussein | Applied Mathematics | Best Researcher Award

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Prof. Mohammed Hussein | Applied Mathematics | Best Researcher Award

Academia at University of Baghdad, Iran

Dr. Mohammed Sabah Hussein is a distinguished Professor of Applied Mathematics at the University of Baghdad, College of Science, with a Ph.D. from the University of Leeds. With 18 years of teaching and research experience, his expertise spans inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He has made significant contributions to academia, mentoring postgraduate students and serving in leadership roles, including Head of the Mathematics Department. Dr. Hussein has an impressive publication record in high-impact journals and actively participates in international research collaborations. His academic reputation is reflected in his H-index rankings across Google Scholar, Scopus, and Clarivate. As a member of several professional societies and editorial boards, he is dedicated to advancing applied mathematics. His technical proficiency in MATLAB, Mathematica, and LaTeX, coupled with his extensive research on solving complex mathematical problems, makes him a leading figure in his field.

Professional Profile 

Google Scholar
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Education

Dr. Mohammed Sabah Hussein earned his Ph.D. in Applied Mathematics from the University of Leeds, where he specialized in inverse problems for heat equations and numerical analysis. Prior to that, he obtained his Master’s and Bachelor’s degrees in Mathematics from the University of Baghdad, demonstrating early excellence in mathematical modeling and computational techniques. His academic journey has been marked by a strong foundation in mathematical theories, which he later expanded through advanced research in applied mathematics and fluid dynamics. Throughout his education, Dr. Hussein actively engaged in research projects that enhanced his expertise in solving complex mathematical problems, particularly in heat transfer and differential equations. His exposure to international academic environments enriched his analytical skills and deepened his understanding of mathematical applications in real-world scenarios. His educational background continues to influence his teaching and research, enabling him to contribute significantly to mathematical sciences and mentor future scholars in applied mathematics.

Professional Experience

Dr. Mohammed Sabah Hussein is a Professor of Applied Mathematics at the University of Baghdad, College of Science, with 18 years of experience in teaching and research. He has held several academic leadership roles, including serving as Head of the Mathematics Department, where he played a crucial role in curriculum development and faculty mentoring. Over the years, he has supervised numerous postgraduate students, guiding them in advanced mathematical research. Dr. Hussein has collaborated with international institutions on cutting-edge research projects in applied mathematics, enhancing interdisciplinary studies. He has also served as a reviewer and editorial board member for prestigious mathematical journals, contributing to the peer-review process. His expertise in numerical methods, fluid dynamics, and inverse problems has led him to participate in global awards and workshops, where he shares his insights with the academic community. His commitment to research and education solidifies his standing as a leading mathematician.

Research Interest

Dr. Mohammed Sabah Hussein’s research focuses on inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He specializes in solving complex differential equations that arise in real-world applications, particularly in heat transfer and fluid mechanics. His work extends to computational techniques using MATLAB and Mathematica, where he develops algorithms for accurate numerical solutions. Dr. Hussein is also interested in optimization methods and their applications in engineering and physical sciences. His research has contributed to advancements in thermal analysis and industrial processes, demonstrating the practical impact of applied mathematics. Additionally, he collaborates on interdisciplinary projects that integrate mathematics with physics and engineering, broadening the scope of mathematical applications. His publications in high-impact journals reflect his dedication to innovative mathematical research, and his continued exploration of numerical simulations and mathematical modeling ensures his contributions remain at the forefront of applied mathematics advancements.

Awards and Honors

Dr. Mohammed Sabah Hussein has received several prestigious awards and honors for his outstanding contributions to applied mathematics. His research excellence has been recognized with accolades from national and international academic institutions. He has been honored for his high-impact publications and has received grants for his work in mathematical modeling and numerical analysis. Dr. Hussein’s influence in academia is further demonstrated by his strong citation record and H-index rankings in Google Scholar, Scopus, and Clarivate. He has been invited as a keynote speaker at global awards and has received recognition for his mentorship of postgraduate students. His role in advancing mathematical sciences has been acknowledged through memberships in esteemed mathematical societies and editorial boards of reputed journals. These honors reflect his dedication to academic excellence and his influence on the broader mathematical research community.

Conclusion

Dr. Mohammed Sabah Hussein is a highly respected mathematician whose expertise in applied mathematics has significantly impacted academia and research. With a strong educational background and extensive professional experience, he has contributed to solving complex mathematical problems through advanced numerical analysis and modeling. His dedication to mentoring students, publishing high-impact research, and collaborating internationally highlights his commitment to the mathematical sciences. His awards and honors reflect his scholarly influence and contributions to mathematical research. As a professor, researcher, and mentor, Dr. Hussein continues to advance applied mathematics, ensuring its relevance in solving real-world challenges. His work in inverse problems, fluid dynamics, and computational methods cements his reputation as a leader in the field. Through his academic and research endeavors, he remains dedicated to pushing the boundaries of mathematical knowledge and inspiring future generations of mathematicians.

Publications Top Noted

1. Simultaneous determination of time-dependent coefficients in the heat equation

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov
Year: 2014
Citations: 61
Source: Computers & Mathematics with Applications, 67(5), 1065-1091

2. An inverse problem of finding the time‐dependent diffusion coefficient from an integral condition

Authors: M. S. Hussein, D. Lesnic, M. I. Ismailov
Year: 2016
Citations: 49
Source: Mathematical Methods in the Applied Sciences, 39(5), 963-980

3. Reconstruction of time-dependent coefficients from heat moments

Authors: M. J. Huntul, D. Lesnic, M. S. Hussein
Year: 2017
Citations: 45
Source: Applied Mathematics and Computation, 301, 233-253

4. Simultaneous determination of time and space-dependent coefficients in a parabolic equation

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 38
Source: Communications in Nonlinear Science and Numerical Simulation, 33, 194-217

5. Multiple time-dependent coefficient identification thermal problems with a free boundary

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov, H. A. Snitko
Year: 2016
Citations: 37
Source: Applied Numerical Mathematics, 99, 24-50

6. Direct and inverse source problems for degenerate parabolic equations

Authors: M. S. Hussein, D. Lesnic, V. L. Kamynin, A. B. Kostin
Year: 2020
Citations: 35
Source: Journal of Inverse and Ill-Posed Problems, 28(3), 425-448

7. Simultaneous determination of time-dependent coefficients and heat source

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 24
Source: International Journal for Computational Methods in Engineering Science and Mechanics

8. Identification of the time-dependent conductivity of an inhomogeneous diffusive material

Authors: M. S. Hussein, D. Lesnic
Year: 2015
Citations: 24
Source: Applied Mathematics and Computation, 269, 35-58

9. Determination of a time-dependent thermal diffusivity and free boundary in heat conduction

Authors: M. S. Hussein, D. Lesnic
Year: 2014
Citations: 23
Source: International Communications in Heat and Mass Transfer, 53, 154-163

10. Simultaneous Identification of Thermal Conductivity and Heat Source in the Heat Equation

Authors: M. J. Huntul, M. S. Hussein
Year: 2021
Citations: 20
Source: Iraqi Journal of Science, 1968-1978

11. A wavelet-based collocation technique to find the discontinuous heat source in inverse heat conduction problems

Authors: M. Ahsan, W. Lei, M. Ahmad, M. S. Hussein, Z. Uddin
Year: 2022
Citations: 16
Source: Physica Scripta, 97(12), 125208

12. Identification of a multi-dimensional space-dependent heat source from boundary data

Authors: M. S. Hussein, D. Lesnic, B. T. Johansson, A. Hazanee
Year: 2018
Citations: 16
Source: Applied Mathematical Modelling, 54, 202-220

13. Free boundary determination in nonlinear diffusion

Authors: M. S. Hussein, D. Lesnic, M. Ivanchov
Year: 2013
Citations: 16
Source: East Asian Journal on Applied Mathematics, 3(4), 295-310

14. Retrieval of Timewise Coefficients in the Heat Equation from Nonlocal Overdetermination Conditions

Authors: F. Anwer, M. S. Hussein
Year: 2022
Citations: 15
Source: Iraqi Journal of Science, 1184-1199

15. Numerical Solution to Recover Time-dependent Coefficient and Free Boundary from Nonlocal and Stefan Type Overdetermination Conditions in Heat Equation

Authors: M. Qassim, M. S. Hussein
Year: 2021
Citations: 15
Source: Iraqi Journal of Science, 62(3), 950-960

16. Determination of time-dependent coefficient in time fractional heat equation

Authors: Q. W. Ibraheem, M. S. Hussein
Year: 2023
Citations: 14
Source: Partial Differential Equations in Applied Mathematics, 7, 100492

17. Splitting the One-Dimensional Wave Equation, Part II: Additional Data are Given by an End Displacement Measurement

Authors: S. O. Hussein, M. S. Hussein
Year: 2021
Citations: 13
Source: Iraqi Journal of Science, 62(1), 233-239

18. Numerical Solution for Two-Sided Stefan Problem

Authors: M. S. Hussein, Z. Adil
Year: 2020
Citations: 12
Source: Iraqi Journal of Science, 61(2), 444-452

LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

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Dr. LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Dr. Lin-Tian Luh is a distinguished mathematician specializing in radial basis functions, approximation theory, numerical mathematics, and topology. With a Ph.D. from the University of Göttingen, he has made significant contributions to the field, particularly in developing error bounds for high-dimensional interpolation and advancing the choice theory of shape parameters. Over his academic career at Providence University, where he served as a lecturer, associate professor, and full professor, he has been instrumental in enhancing research environments and collaborating internationally, notably with Professor R. Schaback. Dr. Luh has published extensively in high-impact journals, presented at major awards worldwide, and held editorial roles in reputable mathematical journals. His groundbreaking work on shape parameter selection has gained international recognition, solving longstanding challenges in the field. Honored multiple times for research excellence, he continues to push the boundaries of numerical analysis and computational mathematics, making profound impacts on scientific advancements.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Lin-Tian Luh obtained his Ph.D. in Mathematics from the University of Göttingen, Germany, where he studied under leading experts in numerical analysis and approximation theory. His doctoral research focused on radial basis functions and their applications in high-dimensional interpolation. Prior to his Ph.D., he completed his undergraduate and master’s studies in Taiwan, building a strong foundation in pure and applied mathematics. Throughout his academic journey, he demonstrated exceptional analytical skills and a deep passion for solving complex mathematical problems. His international education provided him with a broad perspective, allowing him to integrate diverse mathematical techniques into his research. Exposure to rigorous mathematical training at Göttingen further refined his expertise in error estimation and shape parameter selection. His academic achievements laid the groundwork for a successful career in both theoretical and applied mathematics, enabling him to contribute significantly to the advancement of numerical methods in scientific computation.

Professional Experience

Dr. Lin-Tian Luh has had a distinguished academic career, spanning decades of research, teaching, and mentorship. He began as a lecturer at Providence University in Taiwan, where he quickly established himself as an authority in numerical mathematics. Rising through the ranks to associate professor and later full professor, he played a pivotal role in shaping the university’s mathematics curriculum and fostering a strong research environment. He has collaborated extensively with international scholars, including Professor R. Schaback, contributing to groundbreaking advancements in radial basis function interpolation. Dr. Luh has also held visiting research positions at prestigious institutions, further strengthening his global academic impact. His dedication to teaching has inspired numerous students to pursue research in computational mathematics. Beyond academia, he has served on editorial boards of leading mathematical journals and as a reviewer for high-impact publications, solidifying his reputation as a key figure in numerical analysis and approximation theory.

Research Interest

Dr. Lin-Tian Luh’s research interests lie in numerical analysis, radial basis function (RBF) interpolation, approximation theory, and topology. He has made substantial contributions to high-dimensional interpolation techniques, particularly in error estimation and shape parameter selection for RBF methods. His work on developing optimal strategies for shape parameter choice has addressed longstanding challenges in computational mathematics, influencing applications in engineering, data science, and machine learning. He is also deeply engaged in the theoretical aspects of approximation theory, exploring new methods to improve the efficiency and accuracy of numerical algorithms. Dr. Luh’s research extends into applied topology, where he investigates connections between geometric structures and computational models. His interdisciplinary approach has led to collaborations across various fields, reinforcing the importance of mathematical theory in real-world problem-solving. With numerous publications in top-tier journals, his work continues to shape the evolving landscape of numerical mathematics and scientific computation.

Awards and Honors

Dr. Lin-Tian Luh has received multiple accolades for his exceptional contributions to mathematics, particularly in numerical analysis and approximation theory. He has been recognized by prestigious mathematical societies and institutions for his pioneering work in radial basis function interpolation. His research on shape parameter selection has earned international acclaim, leading to invitations as a keynote speaker at major mathematical awards. Dr. Luh has also been honored with excellence in research awards from Providence University, where his work has significantly advanced the institution’s academic reputation. In addition, he has received grants and fellowships supporting his innovative research, further validating his impact in the field. His editorial contributions to leading mathematical journals have also been acknowledged, highlighting his influence in shaping contemporary numerical mathematics. These honors reflect his dedication, originality, and profound impact on both theoretical and applied mathematics, reinforcing his legacy as a leader in computational and approximation theory.

Conclusion

Dr. Lin-Tian Luh is a renowned mathematician whose work in numerical analysis, radial basis function interpolation, and approximation theory has significantly influenced the field. With a strong educational background from the University of Göttingen and an illustrious academic career at Providence University, he has played a crucial role in advancing research and mentoring future generations of mathematicians. His collaborations with international scholars and contributions to high-dimensional interpolation techniques have provided groundbreaking insights into shape parameter selection and error estimation. Recognized globally for his research excellence, he has received multiple awards and honors, further establishing his prominence in mathematical sciences. Dr. Luh’s work continues to inspire and drive progress in numerical computation, bridging theoretical advancements with practical applications. His dedication to expanding mathematical knowledge and fostering innovation ensures that his contributions will have a lasting impact on the field, shaping the future of approximation theory and scientific computing.

Publications Top Noted

  • The Shape Parameter in the Shifted Surface Spline—A Sharp and Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2024
    • Source: Mathematics (MDPI)

  • Solving Poisson Equations by the MN-Curve Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • The Shape Parameter in the Shifted Surface Spline—An Easily Accessible Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter—A Purely Scattered Data Approach

    • Author: Lin-Tian Luh
    • Year: 2020
    • Source: Engineering Analysis with Boundary Elements (EABE)

  • The Choice of the Shape Parameter–A Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2019
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Mystery of the Shape Parameter III

    • Author: Lin-Tian Luh
    • Year: 2016
    • Source: Applied and Computational Harmonic Analysis (Elsevier)

  • The Mystery of the Shape Parameter IV

    • Author: Lin-Tian Luh
    • Year: 2014
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function II

    • Author: Lin-Tian Luh
    • Year: 2013
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Computers and Mathematics with Applications (Elsevier)

  • The Shape Parameter in the Shifted Surface Spline III

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • Evenly Spaced Data Points and Radial Basis Functions

    • Author: Lin-Tian Luh
    • Year: 2011
    • Source: WIT Transactions on Modelling and Simulation

  • The Crucial Constants in the Exponential-Type Error Estimates for Gaussian Interpolation

    • Author: Lin-Tian Luh
    • Year: 2008
    • Source: Analysis in Theory and Applications

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation (Preprint)

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Multidisciplinary Digital Publishing Institute (MDPI Preprints)

 

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.

Professional Profile 

Google Scholar

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

 

Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

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Dr. Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

Professor at Siberian Federal University, Russia

Professor Vladimir Kodnyanko, a Doctor of Technical Sciences, serves as a Professor in the Department of Standardization, Metrology, and Quality Management at the Polytechnic Institute of Siberian Federal University. Born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory, he graduated from Krasnoyarsk State University in 1974 with a degree in Mathematics. His career at Krasnoyarsk Polytechnic Institute began in 1974, progressing from junior researcher to full professor by 2002. Professor Kodnyanko earned his Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow, and his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. His research focuses on rapid mathematical modeling and the development of gas-static and hydrostatic bearings, leading to 186 publications, including six monographs, and 39 patents. He has been recognized with multiple honors, such as the honorary title of professor at KSTU in 2001 and an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. In 2015, he joined the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Professor Vladimir Kodnyanko was born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory. He pursued higher education at Krasnoyarsk State University, earning a degree in Mathematics in 1974. His academic journey continued with postgraduate studies, leading to a Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow. Demonstrating his commitment to scientific advancement, he obtained his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. Throughout his educational journey, Professor Kodnyanko developed a strong foundation in mathematical modeling and engineering applications, which later became central to his research. His expertise in applied mathematics and mechanical engineering has greatly contributed to his innovative approaches in the field of gas-static and hydrostatic bearings. His educational achievements laid the groundwork for a distinguished career in academia, research, and technological development, positioning him as a leading expert in standardization, metrology, and quality management.

Professional Experience

Professor Vladimir Kodnyanko’s professional career spans several decades, beginning in 1974 when he joined Krasnoyarsk Polytechnic Institute as a junior researcher. Over the years, he steadily advanced through academic ranks, serving as an assistant, associate professor, and eventually earning the title of full professor in 2002. His expertise and contributions led him to the Polytechnic Institute of Siberian Federal University, where he currently serves as a professor in the Department of Standardization, Metrology, and Quality Management. His career is marked by active participation in academic councils and professional organizations, including his role in the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS. Professor Kodnyanko has also been instrumental in mentoring young researchers, supervising doctoral students, and leading research projects in applied mathematics and engineering. His dedication to academia has significantly influenced the development of precision engineering and mathematical modeling techniques.

Research Interest

Professor Vladimir Kodnyanko’s research focuses on rapid mathematical modeling, with a particular emphasis on gas-static and hydrostatic bearings. His work integrates applied mathematics and engineering principles to enhance the efficiency and performance of high-precision mechanical systems. His studies explore the dynamics of fluid lubrication, optimization of bearing structures, and the application of mathematical models to predict system behavior under various operating conditions. His research has practical applications in aerospace, automotive, and industrial machinery, where high-performance bearings are critical for operational reliability. Professor Kodnyanko has authored 186 scientific publications, including six monographs, and holds 39 patents related to his innovations in mechanical engineering. His pioneering work has contributed significantly to advancing the field of tribology, improving the design and functionality of precision bearings used in various industries. Through his research, he continues to bridge the gap between theoretical mathematics and practical engineering applications.

Awards and Honors

Throughout his distinguished career, Professor Vladimir Kodnyanko has received numerous awards and honors recognizing his contributions to science and engineering. In 2001, he was awarded the honorary title of professor at Krasnoyarsk State Technical University in acknowledgment of his academic and research achievements. His dedication to advancing mathematical modeling and mechanical engineering earned him an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. His contributions to the field of precision engineering and bearing technology have positioned him as a leading expert in his domain. In addition to institutional honors, he has been actively involved in national and international scientific communities, further solidifying his influence in engineering research. His recognition extends beyond academia, as his work has practical industrial applications that have improved the efficiency and reliability of mechanical systems. His awards reflect his lasting impact on science, engineering, and technological innovation.

Conclusion

Professor Vladimir Kodnyanko’s career exemplifies dedication to research, education, and technological advancement. With a strong foundation in mathematics and engineering, he has made groundbreaking contributions to rapid mathematical modeling and the development of gas-static and hydrostatic bearings. His extensive body of work, including 186 scientific publications and 39 patents, showcases his influence in precision engineering. As a professor at the Polytechnic Institute of Siberian Federal University, he continues to shape the next generation of researchers and engineers. His leadership in academic councils, research institutions, and industrial collaborations highlights his commitment to advancing scientific knowledge and engineering applications. Recognized with multiple prestigious awards, he remains a respected authority in his field. Through his research, mentorship, and professional contributions, Professor Kodnyanko has left an indelible mark on applied mathematics and mechanical engineering, inspiring future innovations in the field.

Publications Top Noted

  • Title: Theoretical Study of the Static and Dynamic Characteristics of a Slotted Adaptive Hydrostatic Thrust Bearing with a Regulator of the Lubricant Output Flow
    Authors: V.A. Kodnyanko, A.S. Kurzakov, A.V. Surovtsev, S. Belyakova, L. Gogol
    Year: 2022
    Citations: 1
    Source: Mathematics

  • Title: Theoretical Study on Compliance and Stability of Active Gas-Static Journal Bearing with Output Flow Rate Restriction and Damping Chambers
    Authors: V.A. Kodnyanko, A.S. Kurzakov, O. Grigorieva, A.V. Surovtsev, L.V. Strok
    Year: 2021
    Citations: Not specified
    Source: Lubricants

  • Title: Theoretical Study on Dynamics Quality of Aerostatic Thrust Bearing with External Combined Throttling
    Authors: V.A. Kodnyanko, S.N. Shatokhin
    Year: 2020
    Citations: 21
    Source: FME Transactions 48 (2)

  • Title: Mathematical Modeling on Statics and Dynamics of Aerostatic Thrust Bearing with External Combined Throttling and Elastic Orifice Fluid Flow Regulation
    Authors: V. Kodnyanko, S. Shatokhin, A. Kurzakov, Y. Pikalov
    Year: 2020
    Citations: 16
    Source: Lubricants 8 (5), 57

  • Title: Method for Calculating the Static Characteristics of Radial Hydrostatic Compensator of Machine Tool Bearings Deformation
    Authors: V.A. Kodnyanko
    Year: 2021
    Citations: 4
    Source: Periodica Polytechnica Transportation Engineering 49 (2), 114-119

  • Title: Compliance of Gas-Dynamic Bearing with Elastic Compensator of Movement
    Authors: V.A. Kodnyanko, A.S. Kurzakov
    Year: 2017
    Citations: 3
    Source: Journal of Siberian Federal University. Engineering & Technologies 10 (5), 657

  • Title: Directional Splines for Economic Analytics
    Authors: V. Kodnyanko
    Year: 2020
    Citations: 2
    Source: Economic Computation & Economic Cybernetics Studies & Research 54 (3)

  • Title: On Computational Redundancy of the Dichotomous Search and Conditional Minimization of Unimodal Functions by the Economical Dichotomous Search
    Authors: V.A. Kodnyanko
    Year: 2019
    Citations: 2
    Source: Sistemy i Sredstva Informatiki [Systems and Means of Informatics] 29 (1)

  • Title: Stability of Energy-Saving Adaptive Journal Hydrostatic Bearing with a Restriction of the Output Lubricant Stream
    Authors: V.A. Kodnyanko
    Year: 2012
    Citations: 2
    Source: Engineering & Technologies 4 (6), 674-684

 

Slobodanka Galovic | Mathematical Modeling | Best Researcher Award

Published on by Math Scientist

Dr. Slobodanka Galovic | Mathematical Modeling | Best Researcher Award

Professor of Research at Vinca Institute of Nuclear Sciences-National Institute of the Republic of Serbia, Belgrade University, Serbia

Slobodanka Galovic is a Full Professor of Research at the Vinca Institute of Nuclear Sciences, part of the National Institute of Nuclear Sciences in the Republic of Serbia. With extensive expertise in applied mathematics, set theory, and mathematical modeling, she has made significant contributions to her field through both independent and collaborative research. As a senior academic leader, she plays a crucial role in mentoring and guiding graduate students and researchers, further fostering scientific growth within her institution. Her work has earned recognition within the academic community, especially in the areas of theoretical and applied mathematics. Professor Galovic’s position at a renowned research institution showcases her leadership and influence in advancing mathematical sciences. Her research, though focused primarily in academia, could benefit from increased international collaboration and broader industry engagement to enhance the practical application of her work. Nonetheless, her academic accomplishments make her an outstanding candidate for prestigious awards in research.

Professional Profile:

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Education:

Slobodanka Galovic holds an extensive academic background, having earned a doctoral degree in a specialized field from a renowned institution. Her academic journey showcases a strong foundation in nuclear sciences, where she focused on advancing knowledge through rigorous research. Galovic’s education has been instrumental in shaping her understanding of complex scientific concepts and methodologies. She has also attended numerous workshops and training sessions, continuously enhancing her expertise in applied physics and nuclear sciences. Her dedication to lifelong learning has enabled her to contribute significantly to her field and mentor aspiring researchers with precision and clarity.

Professional Experience:

Professor Slobodanka Galovic brings over several years of professional experience to her role at the Vinca Institute of Nuclear Sciences. As a Full Professor of Research, she has been pivotal in leading groundbreaking research in nuclear sciences, mentoring young researchers, and developing academic programs. Her expertise spans multiple areas of nuclear research, with her collaborative and leadership skills enhancing the institute’s academic reputation. Through her work, she has made invaluable contributions to both national and international scientific communities.

Research Interest:

Professor Galovic’s primary research interest lies in nuclear science, particularly in applied nuclear physics, radiation protection, and quantum mechanics. Her innovative work includes exploring the intersection of these disciplines with real-world applications in industries such as energy, healthcare, and environmental protection. By focusing on advancing our understanding of nuclear materials, radiation interactions, and developing new technologies for improved safety, Galovic has contributed to the development of novel methodologies that hold practical implications. Her research not only pushes the boundaries of science but also addresses significant global challenges.

Awards and Honors:

Throughout her illustrious career, Professor Slobodanka Galovic has been the recipient of various prestigious awards and honors in recognition of her outstanding contributions to nuclear sciences. Her work in both research and academia has earned her a place among leading scientists, with accolades that affirm her influence and impact. Her research-driven approach to solving complex scientific problems has led to widespread recognition at national and international levels. Galovic’s ability to publish high-impact research has made her a respected figure in the global scientific community.

Conclusion:

Professor Slobodanka Galovic’s professional journey exemplifies exceptional leadership in the field of nuclear sciences. With an established academic background, a rich research portfolio, and a strong commitment to pushing the frontiers of science, Galovic has undoubtedly made a lasting impact on both her field and the students she mentors. Her work continues to inspire and shape the future of scientific inquiry. As a dedicated and passionate academic, her contributions will undoubtedly remain influential for years to come.

Publications Top Noted:

  • Title: Photothermal wave propagation in media with thermal memory
    Authors: S Galović, D Kostoski
    Year: 2003
    Citations: 112
    Source: Journal of Applied Physics, 93 (5), 3063-3070

  • Title: Crystallinity changes and melting behavior of the uniaxially oriented iPP exposed to high doses of gamma radiation
    Authors: Z Stojanović, Z Kačarević-Popović, S Galović, D Miličević, E Suljovrujić
    Year: 2005
    Citations: 76
    Source: Polymer Degradation and Stability, 87 (2), 279-286

  • Title: Thermal and crystallization behaviour of gamma irradiated PLLA
    Authors: D Milicevic, S Trifunovic, S Galovic, E Suljovrujic
    Year: 2007
    Citations: 63
    Source: Radiation Physics and Chemistry, 76 (8-9), 1376-1380

  • Title: Photoacoustic signal and noise analysis for Si thin plate: Signal correction in frequency domain
    Authors: DD Markushev, MD Rabasović, DM Todorović, S Galović, SE Bialkowski
    Year: 2015
    Citations: 53
    Source: Review of Scientific Instruments, 86 (3)

  • Title: Theory of photoacoustic effect in media with thermal memory
    Authors: S Galović, Z Šoškić, M Popović, D Čevizović, Z Stojanović
    Year: 2014
    Citations: 46
    Source: Journal of Applied Physics, 116 (2)

  • Title: Effect of the absorption coefficient of aluminium plates on their thermoelastic bending in photoacoustic experiments
    Authors: DD Markushev, J Ordonez-Miranda, MD Rabasović, S Galović, …
    Year: 2015
    Citations: 45
    Source: Journal of Applied Physics, 117 (24)

  • Title: Helmholtz resonances in photoacoustic experiment with laser-sintered polyamide including thermal memory of samples
    Authors: MN Popovic, MV Nesic, S Ciric-Kostic, M Zivanov, DD Markushev, …
    Year: 2016
    Citations: 36
    Source: International Journal of Thermophysics, 37, 1-9

  • Title: Photothermal thermoelastic bending for media with thermal memory
    Authors: M Nesic, S Galovic, Z Soskic, M Popovic, DM Todorovic
    Year: 2012
    Citations: 33
    Source: International Journal of Thermophysics, 33, 2203-2209

  • Title: Conduction of heat in inhomogeneous solids
    Authors: MD Dramićanin, ZD Ristovski, V Djoković, S Galović
    Year: 1998
    Citations: 32
    Source: Applied Physics Letters, 73 (3), 321-323

  • Title: Effects of the photogenerated excess carriers on the thermal and elastic properties of n-type silicon excited with a modulated light source: Theoretical analysis
    Authors: DK Markushev, DD Markushev, S Aleksić, DS Pantić, S Galović, …
    Year: 2019
    Citations: 29
    Source: Journal of Applied Physics, 126 (18)

  • Title: Influence of thermal memory on thermal piston model of photoacoustic response
    Authors: DD Markushev, MD Rabasović, M Nesic, M Popovic, S Galovic
    Year: 2012
    Citations: 29
    Source: International Journal of Thermophysics, 33, 2210-2216

  • Title: Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory
    Authors: MN Popovic, MV Nesic, M Zivanov, DD Markushev, SP Galovic
    Year: 2018
    Citations: 28
    Source: Optical and Quantum Electronics, 50, 1-10

  • Title: An extension to the methodology for characterization of thermal properties of thin solid samples by photoacoustic techniques
    Authors: Z Šoškić, S Ćirić-Kostić, S Galović
    Year: 2016
    Citations: 27
    Source: International Journal of Thermal Sciences, 109, 217-230

  • Title: Computationally intelligent description of a photoacoustic detector
    Authors: MI Jordovic-Pavlovic, AD Kupusinac, KL Djordjevic, KL Galovic, …
    Year: 2020
    Citations: 24
    Source: Optical and Quantum Electronics, 52, 1-14

  • Title: Influence of orientation and irradiation on stress relaxation of linear low-density polyethylene (LLDPE): a two-process model
    Authors: V Djokovic, D Kostoski, S Galovic, MD Dramicanin, Z Kacarevic-Popovic
    Year: 1999
    Citations: 24
    Source: Polymer, 40 (10), 2631-2637

  • Title: Optically induced temperature variations in a two-layer volume absorber including thermal memory effects
    Authors: MN Popovic, DD Markushev, MV Nesic, MI Jordovic-Pavlovic, SP Galovic
    Year: 2021
    Citations: 23
    Source: Journal of Applied Physics, 129 (1)

  • Title: Experimental photoacoustic observation of the photogenerated excess carrier influence on the thermoelastic response of n-type silicon
    Authors: DK Markushev, DD Markushev, SM Aleksić, DS Pantić, SP Galović, …
    Year: 2020
    Citations: 23
    Source: Journal of Applied Physics, 128 (9)

  • Title: Nature of the vibron self-trapped states in hydrogen-bonded macromolecular chains
    Authors: D Čevizović, S Galović, Z Ivić
    Year: 2011
    Citations: 22
    Source: Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 84 (1)

  • Title: Analysis of photothermal response of thin solid films by analogy with passive linear electric networks
    Authors: SP Galović, ZN Šoškić, MN Popović
    Year: 2009
    Citations: 22
    Source: Thermal Science, 13 (4), 129-142

  • Title: Influence of data scaling and normalization on overall neural network performances in photoacoustics
    Authors: КL Djordjević, MI Jordović-Pavlović, ŽM Ćojbašić, SP Galović, …
    Year: 2022
    Citations: 21
    Source: Optical and Quantum Electronics, 54 (8), 501