Shenzhou Zheng | Differential Equations | Best Researcher Award

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Prof. Shenzhou Zheng | Differential Equations | Best Researcher Award

Professor at Beijing Jiaotong University, China

Prof. Zheng Shenzhou, a distinguished researcher in differential equations, special functions, and financial mathematics, is a professor and doctoral supervisor at Beijing Jiaotong University. With a PhD from Fudan University, he has made groundbreaking contributions, including applying Green’s function to nonlinear PDEs and resolving conjectures in special functions. He has published over 100 SCI papers in prestigious journals such as Transactions of the American Mathematical Society and Journal of Functional Analysis. Prof. Zheng has collaborated with renowned institutions like the Basque Center for Applied Mathematics and the Chern Institute of Mathematics. His research is backed by multiple grants from the National Natural Science Foundation of China. A dedicated educator, he teaches advanced mathematics and mentors doctoral students. While his theoretical contributions are profound, expanding interdisciplinary applications and global recognition would further solidify his impact. His work continues to shape modern mathematical analysis and its applications in physics and finance.

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Education

Prof. Zheng Shenzhou holds a PhD in Mathematics from Fudan University (1997), where he conducted advanced research in differential equations and mathematical analysis. Prior to that, he earned his Master’s degree from Beijing Normal University (1994), focusing on foundational aspects of applied mathematics. His academic journey provided him with deep expertise in theoretical and computational mathematics, setting the stage for his prolific research career. Throughout his studies, he honed his skills in partial differential equations, special functions, and statistical mechanics, which later became key themes in his research. His education at two of China’s most prestigious institutions, combined with his early exposure to high-level mathematical modeling, allowed him to develop innovative approaches to mathematical problems. These formative years shaped his ability to tackle complex mathematical challenges and laid the groundwork for his future contributions to both theoretical and applied mathematics in academia and beyond.

Professional Experience

Prof. Zheng Shenzhou has had a distinguished academic and research career spanning over two decades. He has been a professor at the School of Science, Beijing Jiaotong University, since 2005, where he also served as an associate professor and lecturer in previous years. His career includes multiple international research collaborations, such as visiting professorships at the Basque Center for Applied Mathematics, the Chern Institute of Mathematics, and institutions in the United States, including the University of Chicago and the University of Texas. His professional experience also extends to research positions at the Chinese Academy of Sciences, where he worked on applied mathematics and systems science. Through these roles, Prof. Zheng has contributed significantly to differential equation theory, special functions, and mathematical physics. His diverse academic engagements reflect his commitment to advancing mathematical knowledge, fostering international research collaborations, and mentoring the next generation of mathematicians and statisticians.

Research Interest

Prof. Zheng Shenzhou’s research primarily focuses on differential equation theory and its applications, special functions, and financial mathematics. His work on partial differential equations (PDEs) has provided groundbreaking insights into nonlinear problems, particularly through the innovative use of Green’s function for regularity analysis. Additionally, his studies on the modified Bessel function resolved conjectures in special functions and extended the understanding of uncertainty principles. Prof. Zheng has also contributed to the development of elliptic and parabolic equation theories under weak conditions, influencing fields like material science and electrorheology. His research extends into financial statistical analysis, applying mathematical models to quantify uncertainty in economic systems. With extensive publications in leading mathematical journals, his work bridges fundamental mathematical theory with real-world applications. Moving forward, his research continues to shape the landscape of applied mathematics, deepening the understanding of mathematical structures governing physical, economic, and engineering systems.

Awards and Honors

Prof. Zheng Shenzhou has received multiple research grants from the National Natural Science Foundation of China (NSFC), recognizing his contributions to differential equations, harmonic analysis, and nonlinear mathematical modeling. His ability to solve long-standing mathematical conjectures has earned him recognition within the global mathematical community. His international collaborations with leading research institutions, including the Basque Center for Applied Mathematics and the Chern Institute of Mathematics, further highlight his academic excellence. His work has been featured in top-tier mathematical journals, solidifying his reputation as a leading researcher in applied mathematics. While specific individual awards are not listed, his research funding and extensive publication record attest to his influence in the field. Continued recognition at international conferences, interdisciplinary collaborations, and engagement in global mathematical forums could further elevate his status as a pioneering mathematician.

Conclusion

Prof. Zheng Shenzhou is a distinguished mathematician whose work in differential equations, special functions, and mathematical physics has had a lasting impact on both theoretical and applied mathematics. With a strong academic background, extensive research experience, and numerous high-impact publications, he has made significant contributions to mathematical science. His research has advanced the understanding of nonlinear PDEs, uncertainty principles, and their applications in various scientific domains. While he has received substantial research funding and collaborated internationally, expanding interdisciplinary applications and enhancing global recognition could further strengthen his academic influence. As a dedicated educator and mentor, his work continues to inspire future mathematicians. His expertise and innovative approach make him a strong candidate for prestigious research awards, and his contributions will remain highly relevant in the evolving landscape of applied mathematics.

Publications Top Noted

 

Taekyun Kim | Pure Mathematics | Best Researcher Award

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Prof. Taekyun Kim | Pure Mathematics | Best Researcher Award

Professor at Kwangwoon University, South Korea

Prof. Taekyun Kim is a distinguished mathematician specializing in number theory, p-adic analysis, and q-series. Currently a professor at Kwangwoon University, he has made significant contributions to mathematical research, earning recognition as a Highly Cited Researcher (2017) by Web of Science and a Highly Effective Researcher (2016) by Clarivate Analytics. He has published extensively in SCI and SCOPUS-indexed journals and authored several mathematics textbooks. His research has been supported by multiple grants from Kwangwoon University and the National Research Foundation of Korea (NRF). Prof. Kim also serves as an editor for prestigious journals such as Symmetry (MDPI), Mathematics (MDPI), and Advances in Difference Equations (Springer). He has received numerous awards, including the Excellent Teaching Award (2018) and the Grand Prize of Knowledge Creation (2014). His academic leadership and impactful research establish him as a leading figure in the mathematical community.

Professional Profile 

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Education

Prof. Taekyun Kim earned his B.S. in Mathematics from Kyungpook National University, Republic of Korea, in 1987. He continued his studies at the same institution, obtaining an M.S. in Mathematics in 1989. In 1994, he completed his Ph.D. in Mathematics at Kyushu University, Japan, specializing in number theory under the supervision of Prof. Dr. Katsumi Shiratani. His doctoral research focused on the q-analogue of p-adic log-gamma functions and L-functions, which laid the foundation for his future work in p-adic analysis and q-series. His strong educational background in both Korean and Japanese institutions equipped him with a deep understanding of mathematical structures, enabling him to make significant contributions to the field. His studies in p-adic number theory, special functions, and mathematical identities have shaped his extensive research career, influencing many subsequent developments in these areas.

Professional Experience

Prof. Taekyun Kim has had an extensive academic career spanning over three decades. He has been a Professor at Kwangwoon University since 2008, actively contributing to research and teaching in mathematics. From 2015 to 2019, he also served as a Chair Professor at Tianjin Polytechnic University, expanding his academic influence internationally. Prior to his tenure at Kwangwoon University, he held positions at Kyungpook National University, Kongju National University, and the Republic of Korea Naval Academy, where he worked as a lecturer and research professor. His experience also includes research in topology and geometry at Kyungpook National University. Throughout his career, Prof. Kim has not only contributed to academia as an educator but also played a pivotal role in shaping the field of mathematics through editorial leadership in several prestigious journals. His professional journey reflects a strong commitment to both research excellence and academic mentorship.

Research Interest

Prof. Taekyun Kim’s research primarily focuses on number theory, p-adic analysis, q-series, and special functions. His work extensively explores the q-analogues of mathematical functions, Bernoulli numbers, Euler polynomials, and Carlitz-type q-Euler numbers, contributing significantly to modern mathematical theories. He has also conducted in-depth studies on p-adic q-integrals, non-Archimedean analysis, and combinatorial identities, which have broad applications in pure mathematics. His research interests extend to difference equations, fixed-point theory, and asymptotic behavior of mathematical functions, showing his versatility as a mathematician. Through numerous high-impact publications, he has enriched the understanding of algebraic and analytical structures, making his work valuable to mathematicians worldwide. His research is not only theoretical but also finds applications in engineering mathematics and computational methods, demonstrating his ability to bridge pure mathematics with applied sciences.

Awards and Honors

Prof. Taekyun Kim has received numerous prestigious awards in recognition of his outstanding contributions to mathematical research and education. In 2017, he was honored as a Highly Cited Researcher by Web of Science, highlighting his influence in the academic community. Similarly, in 2016, Clarivate Analytics recognized him as a Highly Effective Researcher, emphasizing the global impact of his work. His teaching excellence was acknowledged with the Excellent Teaching Award (2018) at Kwangwoon University. Additionally, he received the Grand Prize of Knowledge Creation (2014) from the Future Creation Science Department for his innovative contributions to mathematical research. Over the years, he has also been awarded multiple research grants from Kwangwoon University and the National Research Foundation of Korea (NRF). These accolades reflect his exceptional dedication to advancing mathematics through research, teaching, and academic leadership.

Conclusion

Prof. Taekyun Kim is an exceptional mathematician, researcher, and academic leader with a distinguished career spanning over three decades. His extensive research in number theory, p-adic analysis, and q-series has made a significant impact in the mathematical community. His professional experience includes teaching at top universities, serving as an editor for multiple high-impact journals, and securing research grants to support his work. Recognized globally for his influential publications and innovative contributions, he has received prestigious awards for both his research and teaching. His dedication to mathematics is evident in his numerous publications, books, and editorial roles, making him a highly respected figure in his field. As a mentor, researcher, and thought leader, Prof. Kim continues to inspire future generations of mathematicians, solidifying his legacy as a leading scholar in modern mathematical research.

Publications Top Noted

  • Title: Probabilistic Degenerate Laguerre Polynomials with Random Variables
    Authors: L. Luo, Y. Ma, T.G. Kim, W. Liu
    Year: 2024
    Source: Russian Journal of Mathematical Physics

  • Title: Probabilistic Degenerate Fubini Polynomials Associated with Random Variables
    Authors: R. Xu, T.G. Kim, D.S. Kim, Y. Ma
    Year: 2024
    Citations: 12
    Source: Journal of Nonlinear Mathematical Physics

  • Title: Explicit Formulas for Probabilistic Multi-Poly-Bernoulli Polynomials and Numbers
    Authors: T.G. Kim, D.S. Kim
    Year: 2024
    Citations: 11
    Source: Russian Journal of Mathematical Physics

  • Title: Generalization of Spivey’s Recurrence Relation
    Authors: T.G. Kim, D.S. Kim
    Year: 2024
    Citations: 18
    Source: Russian Journal of Mathematical Physics

  • Title: Study on Discrete Degenerate Bell Distributions with Two Parameters
    Authors: T.G. Kim, D.S. Kim, H. Kim
    Year: 2024
    Citations: 4
    Source: Georgian Mathematical Journal

  • Title: Probabilistic Bernoulli and Euler Polynomials
    Authors: T.G. Kim, D.S. Kim
    Year: 2024
    Citations: 24
    Source: Russian Journal of Mathematical Physics

  • Title: A Note on Certain Type of Generating Functions
    Authors: T.G. Kim, J.L. López-Bonilla, P. Siva Kota Reddy
    Year: 2024
    Source: South East Asian Journal of Mathematics and Mathematical Sciences

  • Title: Color Partitions and Gandhi’s Recurrence Relation
    Authors: J.D. Bulnes, M. Alegri, T.G. Kim, J.L. López-Bonilla
    Year: 2024
    Source: Proceedings of the Jangjeon Mathematical Society

  • Title: Probabilistic Degenerate Central Bell Polynomials
    Authors: L. Chen, T.G. Kim, D.S. Kim, H. Lee, S. Lee
    Year: 2024
    Citations: 9
    Source: Mathematical and Computer Modelling of Dynamical Systems

  • Title: Probabilistic Degenerate Bernoulli and Degenerate Euler Polynomials
    Authors: L. Luo, T.G. Kim, D.S. Kim, Y. Ma
    Year: 2024
    Citations: 10
    Source: Mathematical and Computer Modelling of Dynamical Systems

 

Valery Karachik | Analysis (Real, Complex, Functional) | Best Researcher Award

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Prof. Valery Karachik | Analysis (Real, Complex, Functional) | Best Researcher Award

Professor at South Ural State University, Russia

Prof. Valeriy V. Karachik is a distinguished mathematician specializing in partial differential equations, boundary value problems, and polyharmonic functions. He holds a postdoctoral degree in Physics and Mathematics and has served in prestigious academic positions at institutions such as South Ural State University and Tashkent National University. With over 145 publications in Math-Net.ru, 83 in SCOPUS, and 70 in Web of Science, his research significantly impacts the field. He has authored 12 books and multiple monographs, contributing extensively to mathematical sciences. A recipient of the Diploma of the Ministry of Education and Science of Russia, he has also presented at over 35 international conferences. As a member of global mathematical societies and an editor for MDPI journals, he plays a vital role in advancing research. His career reflects academic excellence, leadership, and significant contributions to mathematics, making him a leading figure in his field.

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Education

Prof. Valeriy V. Karachik holds an extensive academic background in Physics and Mathematics. He earned his Ph.D. in 1988 from the Institute of Mathematics, Academy of Sciences of Uzbekistan, followed by a postdoctoral degree in 2002 from the same institution. In 2006, he obtained another postdoctoral degree in Russia, solidifying his expertise in mathematical sciences. His early academic foundation was laid at Tashkent State University, where he completed a five-year MA/BA equivalent degree with honors in 1977. His multidisciplinary educational journey has enabled him to specialize in complex mathematical concepts such as partial differential equations, polyharmonic functions, and boundary value problems. Over the years, his commitment to education and research has led him to mentor students, contribute to innovative mathematical theories, and expand knowledge in applied mathematics, making him a leading academic figure in the field.

Professional Experience

Prof. Karachik’s career spans several prestigious institutions. Since 2013, he has been a Professor at South Ural State University, previously serving as Head of the Department of Mathematical Analysis and Functional Analysis. His leadership extended to differential equations and dynamical systems, demonstrating his expertise in diverse mathematical disciplines. Before joining SUSU, he was a Professor at Tashkent National University and led the Computerized Testing Center at the University of World Economy and Diplomacy. He also worked at the Institute of Cybernetics, Academy of Sciences of Uzbekistan, and taught at Tashkent Polytechnic Institute. With a career spanning over four decades, his experience includes research, academic leadership, and international collaborations, making significant contributions to both theoretical and applied mathematics. His role as an editor for MDPI journals and active membership in international mathematical societies further highlight his influence in the field.

Research Interest

Prof. Karachik’s research focuses on partial differential equations, polynomial solutions, and boundary value problems. His work extends to Almansi-type decomposition, polyharmonic functions, and special polynomials. His research has advanced fundamental concepts in mathematical physics, optimization, and harmonic analysis, contributing significantly to applied mathematics. He has authored over 145 publications on Math-Net.ru, 83 in SCOPUS, and 70 in Web of Science, alongside 12 books and numerous monographs. His research has been presented at over 35 international conferences, reflecting its global impact. By working on Neumann-type problems for polyharmonic equations, he has introduced innovative methodologies that are widely recognized in mathematical research. His ability to bridge theoretical mathematics with real-world applications makes him an influential figure in modern mathematical sciences.

Awards and Honors

Prof. Karachik’s academic excellence has been recognized with multiple awards and honors. In 2012, he received a Diploma from the Ministry of Education and Science of Russia, acknowledging his contributions to mathematical sciences. He was also awarded the JFDP fellowship by the U.S. Department of State in 2002, allowing him to further his studies at an American university. His participation in prestigious workshops and summer schools, such as the E-learning workshop in Tver (2002), Summer School on Econometrics in Lviv (2001), and Summer University in Budapest (2000), demonstrates his commitment to academic excellence. His memberships in the American Mathematical Society, European Mathematical Society, and Zentralblatt für Mathematik further highlight his status as a respected scholar. Through his research, mentorship, and editorial roles, he continues to influence the global mathematical community.

Conclusion

Prof. Valeriy V. Karachik is a renowned mathematician and educator with a distinguished career spanning research, teaching, and academic leadership. His extensive work in partial differential equations, polyharmonic functions, and mathematical analysis has made a significant impact on the field. As a professor, researcher, and editor, he has shaped the next generation of mathematicians while pushing the boundaries of mathematical sciences. With over four decades of experience, numerous publications, and international recognition, he remains a leading figure in the global mathematical community. His dedication to research, contributions to mathematical theories, and commitment to education make him highly deserving of recognition, including prestigious awards such as the Best Researcher Award.

Publications Top Noted

  • Title: On Some Integro-Differential Operators in the Class of Harmonic Functions and Their Applications

    • Authors: V.V. Karachik, B.K. Turmetov, B.T. Torebek

    • Year: 2012

    • Citations: 37

    • Source: Siberian Advances in Mathematics, 22, 115-134

  • Title: Polynomial Solutions to Dirichlet Boundary Value Problem for the 3-Harmonic Equation in a Ball

    • Author: V.V. Karachik

    • Year: 2012

    • Citations: 14

    • Source: Journal of Siberian Federal University. Mathematics & Physics 5(4), 527-546

  • Title: A Problem for a Polyharmonic Equation in a Ball

    • Author: V.V. Karachik

    • Year: 1991

    • Citations: 14

    • Source: Sibirskii Matematicheskii Zhurnal 32(5), 51-58

  • Title: Об одной задаче для гармонического уравнения (On a Problem for the Harmonic Equation)

    • Authors: V.V. Karachik, B.K. Turmetov

    • Year: 1990

    • Citations: 14

    • Source: Известия Академии наук Узбекской ССР. Серия физико-математических наук, 17-21

  • Title: Green’s Function of One Problem for the 3-Harmonic Equation in a Ball

    • Authors: V.V. Karachik (Valery V.)

    • Year: 2025

    • Source: Complex Variables and Elliptic Equations

  • Title: On the Growth Orders and Types of Biregular Functions

    • Authors: H. Yuan (Hongfen), V.V. Karachik (Valery V.), D. Wang (Danting), T. Ji (Tieguo)

    • Year: 2024

    • Source: Mathematics

  • Title: Bitsadze-Samarsky Type Problems with Double Involution

    • Authors: M.A. Muratbekova (Moldir A.), V.V. Karachik (Valery V.), B.K. Turmetov (B. Kh)

    • Year: 2024

    • Source: Boundary Value Problems

  • Title: Solvability of the Neumann Boundary Value Problem for the Polyharmonic Equation in a Ball

    • Authors: V.V. Karachik (Valery V.)

    • Year: 2024

    • Source: Lobachevskii Journal of Mathematics

  • Title: Green’s Function of the Riquier–Neumann Problem for the Polyharmonic Equation in the Unit Ball

    • Authors: V.V. Karachik (Valery V.)

    • Year: 2024

    • Source: Computational Mathematics and Mathematical Physics

  • Title: On Solvability of Some Inverse Problems for a Nonlocal Fourth-Order Parabolic Equation with Multiple Involution

    • Authors: B.K. Turmetov (B. Kh), V.V. Karachik (Valery V.)

    • Year: 2024

    • Citations: 2

    • Source: AIMS Mathematics

  • Title: Solutions of Umbral Dirac-Type Equations

    • Authors: H. Yuan (Hongfen), V.V. Karachik (Valery V.)

    • Year: 2024

    • Source: Mathematics

  • Title: On Some Integro-Differential Operators in the Class of Harmonic Functions and Their Applications

    • Authors: V.V. Karachik, B.K. Turmetov, B.T. Torebek

    • Year: 2012

    • Citations: 37

    • Source: Siberian Advances in Mathematics, 22, 115-134

  • Title: Polynomial Solutions to Dirichlet Boundary Value Problem for the 3-Harmonic Equation in a Ball

    • Author: V.V. Karachik

    • Year: 2012

    • Citations: 14

    • Source: Journal of Siberian Federal University. Mathematics & Physics 5(4), 527-546

  • Title: A Problem for a Polyharmonic Equation in a Ball

    • Author: V.V. Karachik

    • Year: 1991

    • Citations: 14

    • Source: Sibirskii Matematicheskii Zhurnal 32(5), 51-58

  • Title: Об одной задаче для гармонического уравнения (On a Problem for the Harmonic Equation)

    • Authors: V.V. Karachik, B.K. Turmetov

    • Year: 1990

    • Citations: 14

    • Source: Известия Академии наук Узбекской ССР. Серия физико-математических наук, 17-21

  • Title: Polynomial Solutions to Dirichlet Boundary Value Problem for the 3-Harmonic Equation in a Ball

    • Author: V.V. Karachik

    • Year: 2012

    • Citations: 14

    • Source: Journal of Siberian Federal University. Mathematics & Physics 5(4), 527-546

  • Title: A Problem for a Polyharmonic Equation in a Ball

    • Author: V.V. Karachik

    • Year: 1991

    • Citations: 14

    • Source: Sibirskii Matematicheskii Zhurnal 32(5), 51-58

  • Title: Об одной задаче для гармонического уравнения (On a Problem for the Harmonic Equation)

    • Authors: V.V. Karachik, B.K. Turmetov

    • Year: 1990

    • Citations: 14

    • Source: Известия Академии наук Узбекской ССР. Серия физико-математических наук, 17-21

 

Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

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Prof. Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

Professor at Technical University of Iasi, Romania

Prof. Daniel Condurache is a distinguished researcher and academic leader specializing in theoretical mechanics, robotics, orbital mechanics, and mathematical modeling. A Professor and PhD Supervisor at Gheorghe Asachi Technical University of Iași, he has held key leadership positions, including Vice-Rector and Head of Department. He is a Corresponding Member of the Romanian Academy and a Senior Member of IEEE, AIAA, AMS, ASME, and AAS, reflecting his international recognition. With over 100 research articles published in prestigious journals, his work spans integral transformations, Lie algebra, and spaceflight mechanics, earning him H-index scores of 12-18 across research databases. He also serves as an editor and reviewer for multiple scientific journals. His contributions to mechanical engineering, mechatronics, and robotics have shaped both academic and industrial research. While already a leading figure, increased international collaborations and industry applications could further enhance his impact. He is an outstanding candidate for the Best Researcher Award.

Professional Profile

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Education

Prof. Daniel Condurache holds a Ph.D. in Mechanical Engineering (Magna Cum Laude) from Gheorghe Asachi Technical University of Iași, Romania. He also earned an Engineering degree from the Polytechnic Institute of Iași, Faculty of Electronics and Telecommunications. Additionally, he pursued studies in Mathematics at Alexandru Ioan Cuza University of Iași, Romania, further enhancing his analytical skills. His strong academic foundation in mechanical engineering, robotics, and applied mathematics has significantly contributed to his expertise in kinematics, dynamics, and theoretical mechanics. Over the years, he has continued his research in advanced mathematical modeling, integral transformations, and Lie algebra applications in mechanics. His interdisciplinary education has allowed him to bridge gaps between engineering, physics, and mathematics, leading to groundbreaking contributions in robotics, orbital mechanics, and rigid body dynamics. His academic journey reflects a commitment to continuous learning and innovation in theoretical and applied mechanics.

Professional Experience

Prof. Condurache has had a distinguished academic career spanning over four decades at Gheorghe Asachi Technical University of Iași. He has held multiple leadership positions, including Vice-Rector, Head of the Department of Theoretical Mechanics, and Professor. His teaching portfolio includes Theoretical Mechanics, Modeling and Simulation of Mechanical Systems, and Mathematical Foundations of Robotics. Beyond academia, he has contributed as a Ph.D. supervisor in mechanical engineering, mentoring the next generation of researchers. He has also played a vital role in Romania’s academic and research policies as a member of CNATDCU (Mechanical Engineering, Mechatronics, and Robotics) and CCCDI (Ministry of Research, Innovation, and Digitalization). Additionally, he has served as an editor for academic journals and conference proceedings, reinforcing his influence in the field. His extensive experience across teaching, research, and administration highlights his dedication to advancing both academia and engineering innovation.

Research Interests

Prof. Condurache’s research focuses on higher-order kinematics, rigid body dynamics, orbital mechanics, robotics, and Lie algebra applications in engineering. His work integrates mathematics, physics, and engineering principles to develop innovative models for spacecraft dynamics, robotic manipulators, and multibody systems. He specializes in algebraic and geometric methods in dynamical systems, astrodynamics, dual quaternions, integral transformations, and wavelet analysis. His contributions to rigid body motion parameterization using dual tensors and Cayley transforms have been widely recognized in the academic community. His recent publications explore higher-order kinematics of multibody systems and gravitational interactions in non-inertial reference frames, with applications in celestial mechanics, robotics, and spaceflight mechanics. His interdisciplinary research has significantly advanced the understanding of complex mechanical systems and influenced fields such as aerospace engineering, automation, and computational kinematics.

Awards and Honors

Prof. Condurache’s achievements have earned him numerous accolades, including his election as a Corresponding Member of the Romanian Academy and the Academy of Technical Sciences in Romania. He is a Senior Member of IEEE, AIAA (American Institute of Aeronautics and Astronautics), ASME (American Society of Mechanical Engineers), and AMS (American Mathematical Society), demonstrating his global recognition in the scientific community. He is also a founding member of the Romanian Society of Theoretical and Applied Mechanics and has received multiple awards for his research contributions in mechanical engineering and robotics. His extensive publication record, with over 100 research papers in ISI-indexed journals, and an H-index reflecting significant citations, underscores his influence in the field. His impact extends beyond Romania, with collaborations in international research projects and editorial roles in prestigious scientific journals.

Conclusion

Prof. Daniel Condurache is a highly accomplished researcher, educator, and academic leader with an extensive career in mechanical engineering, robotics, and theoretical mechanics. His contributions to kinematics, multibody systems, and rigid body dynamics have significantly influenced both academic research and industrial applications. As a respected professor and Ph.D. supervisor, he has mentored numerous scholars, shaping the future of mechanical engineering and robotics. His global recognition through memberships in prestigious organizations and editorial contributions reflects his commitment to advancing scientific knowledge. With over four decades of experience, multiple leadership roles, and groundbreaking research, Prof. Condurache stands as a leading figure in modern engineering and applied mathematics. His work continues to push the boundaries of kinematic modeling, spaceflight mechanics, and robotic control, ensuring his lasting impact on both theoretical and applied sciences.

Publications Top Noted

  1. Title: Orthogonal Dual Tensor Method for Solving the AX=XB Sensor Calibration Problem

    • Authors: D. Condurache, A. Burlacu

    • Year: 2016

    • Citations: 107

    • Source: Mechanism and Machine Theory, Vol. 104, pp. 382-404

  2. Title: Dual Tensors-Based Solutions for Rigid Body Motion Parameterization

    • Authors: D. Condurache, A. Burlacu

    • Year: 2014

    • Citations: 74

    • Source: Mechanism and Machine Theory, Vol. 74, pp. 390-412

  3. Title: Relative Spacecraft Motion in a Central Force Field

    • Authors: D. Condurache, V. Martinuşi

    • Year: 2007

    • Citations: 48

    • Source: Journal of Guidance, Control, and Dynamics, Vol. 30 (3), pp. 873-876

  4. Title: Resistivity and Curie Point of Li‐Zn Ferrites

    • Authors: N. Rezlescu, D. Condurache, P. Petrariu, E. Luca

    • Year: 1974

    • Citations: 47

    • Source: Journal of the American Ceramic Society, Vol. 57 (1), pp. 40-40

  5. Title: Foucault Pendulum-Like Problems: A Tensorial Approach

    • Authors: D. Condurache, V. Martinuşi

    • Year: 2008

    • Citations: 45

    • Source: International Journal of Non-Linear Mechanics, Vol. 43 (8), pp. 743-760

  6. Title: Left Atrial Structure and Function are Associated with Cardiovascular Outcomes Independent of Left Ventricular Measures: A UK Biobank CMR Study

    • Authors: Z. Raisi-Estabragh, C. McCracken, D. Condurache, N. Aung, J.D. Vargas, et al.

    • Year: 2022

    • Citations: 41

    • Source: European Heart Journal – Cardiovascular Imaging, Vol. 23 (9), pp. 1191-1200

  7. Title: A Minimal Parameterization of Rigid Body Displacement and Motion Using a Higher-Order Cayley Map by Dual Quaternions

    • Authors: D. Condurache, I. Popa

    • Year: 2023

    • Citations: 2

    • Source: Symmetry, Vol. 15 (11), 2011

  8. Title: An Analysis of Higher-Order Kinematics Formalisms for an Innovative Surgical Parallel Robot

    • Authors: C. Vaida, I. Birlescu, B. Gherman, D. Condurache, D. Chablat, D. Pisla

    • Year: 2025

    • Citations: [Not available]

    • Source: Mechanism and Machine Theory, Vol. 209, 105986

  9. Title: An Overview of Higher-Order Kinematics of Rigid Body and Multibody Systems with Nilpotent Algebra

    • Authors: D. Condurache

    • Year: 2025

    • Citations: [Not available]

    • Source: Mechanism and Machine Theory, Vol. 209, 105959

  10. Title: About a Classical Gravitational Interaction in a General Non-Inertial Reference Frame: Applications on Celestial Mechanics and Astrodynamics

    • Authors: D. Condurache, M. Cojocari, I. Popa

    • Year: 2025

    • Citations: [Not available]

    • Source: Symmetry, Vol. 17 (3), 368

  11. Title: A Closed Form of Higher-Order Cayley Transforms and Generalized Rodrigues Vectors Parameterization of Rigid Motion

    • Authors: D. Condurache, M. Cojocari, I.A. Ciureanu

    • Year: 2024

    • Citations: [Not available]

    • Source: Mathematics, Vol. 13 (1), 114

  1. Title: Dual Lie Algebra Representations of the Rigid Body Motion

    • Authors: D. Condurache, A. Burlacu

    • Year: 2014

    • Citations: 35

    • Source: AIAA/AAS Astrodynamics Specialist Conference, 4347

  1. Title: Advances in Robot Kinematics

    • Authors: J. Lenarcic, C. Galletti

    • Year: 2004

    • Citations: 39

    • Source: Kluwer Academic

 

 

Ali Akbar Yazdan Pour | Algebra | Best Researcher Award

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Dr. Ali Akbar Yazdan Pour | Algebra | Best Researcher Award

Assistant Professor at Institute for Advanced Studies In Basic Sciences, Iran

Dr. Ali Akbar Yazdan Pour is an accomplished mathematician specializing in commutative algebra, algebraic geometry, and combinatorial commutative algebra. He holds a Ph.D. in Mathematics from the Institute for Advanced Studies in Basic Sciences (IASBS), Iran, and Université de Grenoble I, France. Currently serving as the Head of the Mathematics Department at IASBS, he has been an assistant professor since 2013. Dr. Yazdan Pour has an extensive research portfolio with numerous publications in high-impact journals and active participation in international awards. He has also contributed significantly to academic development by organizing research schools and workshops. His achievements include winning the Prof. Abbas Riazi Kermani Prize for the best article at the 54th Annual Iranian Mathematics Conference. With strong teaching credentials, experience in computational tools, and multilingual proficiency, he stands out as a distinguished researcher and educator in his field.

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Education

Dr. Ali Akbar Yazdan Pour has a strong academic background in mathematics, earning his Ph.D. from the Institute for Advanced Studies in Basic Sciences (IASBS), Iran, in collaboration with Université de Grenoble I, France. His doctoral research focused on “Resolution and Castelnuovo-Mumford Regularity,” supervised by Marcel Morales and Rashid Zaare-Nahandi. Prior to his Ph.D., he completed his M.Sc. in Mathematics at IASBS, where he worked on “Simplicial Complexes and Their Cohen-Macaulay Properties.” He obtained his B.Sc. in Applied Mathematics from Shiraz University, Iran, following his high school diploma in Mathematics and Physics. His academic journey is marked by excellence, securing the top rank in the Ph.D. entrance exam at Tarbiat Modares University. With a solid foundation in algebraic structures, topology, and computational methods, Dr. Yazdan Pour has built a distinguished career in mathematical research, contributing to the advancement of commutative algebra and algebraic geometry.

Professional Experience

Dr. Yazdan Pour has an extensive professional career in academia and research. He is currently the Head of the Department of Mathematics at IASBS, where he has served as an assistant professor since 2013. His teaching expertise spans graduate and undergraduate courses, including commutative algebra, homological algebra, computational algebra, and algebraic geometry. Beyond teaching, he has played an active role in organizing mathematical awards, summer schools, and research seminars, contributing to the growth of the mathematical community. His commitment to fostering research collaborations is evident in his participation in international workshops and research schools, where he has delivered lectures and presented his work. Additionally, he has been involved in various scientific committees and has mentored graduate students. His contributions to research, education, and academic leadership make him a vital figure in advancing mathematical sciences, particularly in the areas of algebraic structures and combinatorial commutative algebra.

Research Interests

Dr. Yazdan Pour’s research interests lie at the intersection of commutative algebra, algebraic geometry, and combinatorial commutative algebra. His work focuses on computational methods in algebra, homological properties of monomial ideals, and the structural behavior of algebraic and combinatorial objects. He has extensively studied simplicial complexes, Castelnuovo-Mumford regularity, and free resolutions, leading to significant contributions in the field. His research explores the algebraic and geometric aspects of hypergraphs and monomial ideals, contributing to computational algebra techniques. His numerous publications in high-impact journals reflect his dedication to advancing mathematical knowledge, and his international collaborations demonstrate his ability to work across different domains. Through his research, he seeks to develop new theoretical frameworks and computational tools to solve complex problems in algebra and geometry, making valuable contributions to both pure and applied mathematics.

Awards and Honors

Dr. Yazdan Pour has been recognized for his outstanding contributions to mathematics with several awards and honors. He was the recipient of the prestigious Prof. Abbas Riazi Kermani Prize for the best article at the 54th Annual Iranian Mathematics Conference (2024), highlighting his exceptional research impact. He also secured first place in the Ph.D. entrance exam at Tarbiat Modares University, demonstrating his academic excellence. Throughout his career, he has received multiple financial supports and scholarships from institutions such as CIMPA, the French government, and the University of Barcelona, allowing him to participate in esteemed research schools worldwide. His commitment to advancing mathematics through teaching, research, and scholarly contributions has earned him a distinguished reputation in the mathematical community. His achievements underscore his role as a leading researcher, mentor, and educator, continually shaping the future of mathematical sciences.

Conclusion

Dr. Ali Akbar Yazdan Pour is a dedicated mathematician whose contributions to commutative algebra and algebraic geometry have made a significant impact on the field. With a strong academic foundation, extensive research publications, and active participation in international mathematical communities, he stands as a prominent figure in his domain. His leadership as Head of the Mathematics Department at IASBS and his efforts in organizing research events demonstrate his commitment to fostering mathematical education and collaboration. His numerous awards, including the Prof. Abbas Riazi Kermani Prize, further solidify his reputation as a leading researcher. As an educator, he has mentored students and taught advanced mathematical courses, shaping future generations of mathematicians. His work continues to influence theoretical and computational advancements in algebra and geometry, positioning him as an invaluable contributor to the global mathematical community.

Publications Top Noted

  • Stability of Betti numbers under reduction processes: Towards chordality of clutters
    Authors: M. Bigdeli, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2017
    Citations: 22
    Source: Journal of Combinatorial Theory, Series A

  • Monomial ideals with 3-linear resolutions
    Authors: M. Morales, A. Nasrollah Nejad, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2014
    Citations: 19
    Source: Annales de la Faculté des sciences de Toulouse: Mathématiques

  • The regularity of edge ideals of graphs
    Authors: M. Morales, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2012
    Citations: 15
    Source: Journal of Pure and Applied Algebra

  • Simplicial orders and chordality
    Authors: M. Bigdeli, J. Herzog, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2017
    Citations: 11
    Source: Journal of Algebraic Combinatorics

  • Decomposable clutters and a generalization of Simon’s conjecture
    Authors: M. Bigdeli, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2019
    Citations: 10
    Source: Journal of Algebra

  • Candidates for nonzero Betti numbers of monomial ideals
    Author: A. A. Yazdan Pour
    Year: 2017
    Citations: 9
    Source: Communications in Algebra

  • Regularity and free resolution of ideals which are minimal to d-linearity
    Authors: M. Morales, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2016
    Citations: 9
    Source: Mathematica Scandinavica

  • Cellular resolutions of monomial ideals and their Artinian reductions
    Authors: S. Faridi, M. D. G. F. D. Ghorbani, R. Ghorbani, A. A. Yazdan Pour
    Year: 2024
    Citations: 6
    Source: Journal of Pure and Applied Algebra

  • Multigraded minimal free resolutions of simplicial subclutters
    Authors: M. Bigdeli, A. A. Yazdan Pour
    Year: 2021
    Citations: 5
    Source: Journal of Combinatorial Theory, Series A

  • Positive matching decompositions of graphs
    Authors: M. F. D. G., S. Gharakhloo, A. A. Yazdan Pour
    Year: 2022
    Citations: 4
    Source: Discrete Applied Mathematics

  • Shedding vertices and Ass-decomposable monomial ideals
    Authors: R. Jafari, A. A. Yazdan Pour
    Year: 2021
    Citations: 4
    Source: arXiv preprint

  • Two results on the regularity of monomial ideals
    Authors: A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2013
    Citations: 3
    Source: 10th Seminar on Commutative Algebra and Related Topics

  • On the blowup of affine spaces along monomial ideals: Tameness
    Authors: A. Nasrollah Nejad, A. Nikseresht, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2019
    Citations: 2
    Source: Journal of Symbolic Computation

  • Extending simplicial complexes: Topological and combinatorial properties
    Authors: M. F. D. G., A. Shamsian, A. A. Yazdan Pour
    Year: 2025
    Citations: Not available
    Source: Discrete Mathematics

  • Positive matching decompositions of the Cartesian product of graphs
    Authors: M. F. D. G., A. A. Yazdan Pour
    Year: 2025
    Citations: Not available
    Source: arXiv preprint

 

Iliyas Khan | Statistics | Best Researcher Award

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Dr. Iliyas Khan | Statistics | Best Researcher Award

Teaching Assistance at Universiti Teknologi PETRONAS, Malaysia

Dr. Iliyas Karim Khan is a dedicated researcher specializing in machine learning, statistical modeling, forecasting, and big data analysis. He holds a Ph.D. from Universiti Teknologi PETRONAS (UTP), Malaysia, along with advanced degrees in statistics from Peshawar University, Pakistan. With a strong publication record in Q1 journals, his research focuses on optimizing clustering algorithms, particularly in K-means clustering and data science applications. His expertise extends to programming and statistical tools such as Python, SPSS, Stata, and EViews. Dr. Khan has gained extensive teaching experience, serving as a Teaching Assistant at UTP and a Subject Specialist in Pakistan. He was recognized with a Publication Recognition Achievement (2024) at UTP, underscoring his research contributions. His work is instrumental in improving data-driven decision-making and computational efficiency, making him a valuable asset in the academic and research community. His commitment to innovation and education positions him as a promising leader in his field.

Professional Profile 

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Education

Dr. Iliyas Karim Khan has a strong academic background in statistics and data science. He earned his Ph.D. in 2024 from Universiti Teknologi PETRONAS (UTP), Malaysia, focusing on optimizing machine learning algorithms. Prior to that, he completed an M.Phil. (2016) and M.Sc. (2014) in Statistics from Peshawar University, Pakistan, and a B.Sc. in Statistics (2012) from SBBU Sheringhal, Upper Dir, Pakistan. His foundational studies in science and engineering were completed at BISE Peshawar, along with a B.Ed. (2015) for pedagogical training. His educational journey reflects his commitment to advanced research in big data analysis, forecasting, and statistical modeling. Throughout his studies, he has demonstrated exceptional analytical skills, contributing to high-impact research in data clustering and computational efficiency. His academic achievements have positioned him as a promising researcher in the field of machine learning and statistical analytics, making significant contributions to data science methodologies.

Professional Experience

Dr. Iliyas Karim Khan has gained extensive teaching and research experience across multiple institutions. He worked as a Teaching Assistant at Universiti Teknologi PETRONAS (UTP), Malaysia, where he was actively involved in data science research and statistical analysis. In Pakistan, he served as a Subject Specialist at GHSS Bang Chitral for four years, strengthening his expertise in applied statistics and data analysis. His teaching career also includes one year at Abbottabad University of Science and Technology, where he mentored students in statistical modeling and machine learning techniques. Additionally, he completed an internship at the University of Peshawar and taught at Darban Degree College, Chitral. His experience encompasses curriculum development, student mentoring, and advanced research in statistical computing, making him an accomplished educator and researcher. His hands-on expertise in Python, SPSS, Stata, and EViews further enhances his ability to train future data scientists and statisticians.

Research Interest

Dr. Iliyas Karim Khan’s research revolves around machine learning, big data analytics, statistical modeling, and forecasting. His primary focus is on clustering algorithms, particularly enhancing the K-means clustering method for improved efficiency and accuracy. His work addresses key challenges in data science, such as non-spherical data, outlier handling, and optimal cluster selection, which have significant implications for AI-driven decision-making. Additionally, he explores computational time optimization and statistical accuracy in clustering techniques, contributing to the advancement of data-driven methodologies. His studies extend to forecasting models, applied statistical techniques, and real-world big data applications. Through numerous Q1 journal publications, he has proposed innovative solutions for refining data science models. His research is highly relevant in industries reliant on machine learning, artificial intelligence, and predictive analytics, positioning him as a key contributor to the evolution of data-centric technologies and computational intelligence.

Awards and Honors

Dr. Iliyas Karim Khan’s academic excellence and research contributions have been recognized through prestigious accolades. In 2024, he received the “Publication Recognition Achievement” award from Universiti Teknologi PETRONAS (UTP), Malaysia, honoring his impactful research in machine learning and statistical analysis. His Q1 journal publications in high-impact journals demonstrate his ability to produce innovative and widely acknowledged research. Additionally, his contributions to data clustering and computational efficiency have been well-received within the academic and research communities. His work on addressing K-means clustering limitations and enhancing algorithmic efficiency has been cited extensively, highlighting its significance in data science and artificial intelligence. His growing recognition in machine learning and big data analytics marks him as a promising scholar in his field. Through his research, he continues to make valuable contributions that shape the future of data-driven decision-making and statistical computing.

Conclusion

Dr. Iliyas Karim Khan is an exceptional researcher, educator, and innovator in the field of machine learning, statistical modeling, and big data analysis. His strong academic background, extensive teaching experience, and high-impact research make him a significant contributor to computational intelligence and data science advancements. His studies on enhancing K-means clustering efficiency, outlier handling, and computational time optimization have added valuable insights to the field. Through prestigious publications and academic honors, he has demonstrated his expertise in refining statistical methodologies for real-world applications. His proficiency in Python, SPSS, Stata, and advanced statistical techniques enables him to bridge the gap between theoretical advancements and practical applications in data science. As he continues to explore new frontiers in machine learning and predictive analytics, his work is expected to have a lasting impact on data-driven industries and AI-based decision-making systems.

Publications Top Noted

  • Title: Determining the Optimal Number of Clusters by Enhanced Gap Statistic in K-Mean Algorithm
    Authors: Iliyas Karim Khan, HB Daud, NB Zainuddin, R Sokkalingam, M Farooq, ME Baig, …
    Year: 2024
    Citations: 7
    Source: Egyptian Informatics Journal, Volume 27, Article 100504

  • Title: Numerical Solution of Heat Equation Using Modified Cubic B-Spline Collocation Method
    Authors: M Iqbal, N Zainuddin, H Daud, R Kanan, R Jusoh, A Ullah, Iliyas Karim Khan
    Year: 2024
    Citations: 3
    Source: Journal of Advanced Research in Numerical Heat Transfer, Volume 20, Pages 23-35

  • Title: Numerical Solution by Kernelized Rank Order Distance (KROD) for Non-Spherical Data Conversion to Spherical Data
    Authors: Iliyas Karim Khan, HB Daud, R Sokkalingam, NB Zainuddin, A Abdussamad, …
    Year: 2024
    Citations: 2
    Source: AIP Conference Proceedings, Volume 3123 (1)

  • Title: A Modified Basis of Cubic B-Spline with Free Parameter for Linear Second Order Boundary Value Problems: Application to Engineering Problems
    Authors: M Iqbal, N Zainuddin, H Daud, R Kanan, H Soomro, R Jusoh, A Ullah, …
    Year: 2024
    Citations: 1
    Source: Journal of King Saud University-Science, Volume 36 (9), Article 103397

  • Title: Standardizing Reference Data in Gap Statistic for Selection of Optimal Number of Clusters in K-Means Algorithm
    Authors: Iliyas Karim Khan, H Daud, N Zainuddin, R Sokkalingam
    Year: 2025
    Source: Alexandria Engineering Journal, Volume 118, Pages 246-260

  • Title: A Hybrid Stacked Sparse Autoencoder (HSSAE) Model for Predicting Type 2 Diabetes
    Authors: A Abdussamad, H Daud, R Sokkalingam, M Zubair, Iliyas Karim Khan, Z Mahmood
    Year: 2025
    Source: To be published

  • Title: A Mini Review of the State-of-the-Art Development in Oil Recovery Under the Influence of Geometries in Nanoflood
    Authors: M Zafar, H Sakidin, A Hussain, M Sheremet, I Dzulkarnain, R Safdar, …
    Year: 2024
    Source: Journal of Advanced Research in Micro and Nano Engineering, Volume 26 (1), Pages 83-101

  • Title: Exploring K-Means Clustering Efficiency: Accuracy and Computational Time Across Multiple Datasets
    Authors: Iliyas Karim Khan, H Daud, N Zainuddin, R Sokkalingam, A Abdussamad, AS Azad, …
    Year: 2024
    Source: Journal of Advanced Research in Applied Sciences and Engineering Technology

  • Title: Forecasting the Southeast Asian Currencies Against the British Pound Sterling Using Probability Distributions
    Authors: Iliyas Karim Khan, Ahmad Abubakar Suleiman, Hanita Daud, Mahmod Othman, Abdullah …
    Year: 2023
    Source: Data Science Insights, Volume 1 (1), Pages 31-51

  • Title: Addressing Limitations of the K-Means Clustering Algorithm: Outliers, Non-Spherical Data, and Optimal Cluster Selection
    Authors: Iliyas Karim Khan, Abdussamad, Abdul Museeb, Inayat Agha
    Year: 2024
    Citations: 4
    Source: AIMS Mathematics, Volume 9, Pages 25070-25097

 

 

Saeed Farsad | Optimization | Excellence in Research

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Dr. Saeed Farsad | Optimization | Excellence in Research

Assistant Professor at Birjand University of Technology, Iran

Dr. Saeed Farsad is an accomplished researcher and academic with expertise in experimental fluid dynamics, renewable energy, and heat transfer. He holds a Ph.D. in Mechanical Engineering from the Iranian Research Organization for Science and Technology (IROST) and has extensive experience in wind/water tunnel testing, aerodynamics, and energy conversion systems. Currently serving as an Assistant Professor at Birjand University of Technology (BUT), he has published numerous high-impact journal articles in Q1 and Q2-ranked journals, focusing on vortex shedding, energy storage, and thermo-fluidic properties. His research contributions extend beyond academia, including patents, award papers, and a book on solar desalination. With international collaborations at Toronto Metropolitan University and York University, Dr. Farsad has strengthened his global research footprint. Recognized as an Elective Researcher of the Province, his work has significant industrial and academic applications, making him a prominent figure in mechanical and applied engineering sciences.

Professional Profile 

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Education

Dr. Saeed Farsad holds a Ph.D. in Mechanical Engineering from the Iranian Research Organization for Science and Technology (IROST), specializing in experimental fluid dynamics, wind/water tunnel tests, and advanced measurement techniques. He completed his M.Sc. in Mechanical Engineering – Energy Conversion at the University of Sistan & Baluchestan, where he focused on solar desalination, heat transfer, and numerical simulations. His B.Sc. in Automotive Technology from the Technical College of Mashhad provided a strong foundation in vehicle systems, transmission lines, and automotive engineering. His academic journey showcases a deep multidisciplinary approach, integrating energy systems, experimental fluid mechanics, and automotive applications. With supervisors from renowned institutions, his education has been instrumental in shaping his expertise in thermo-fluid sciences and renewable energy applications. His ability to blend theoretical knowledge with practical applications has led to impactful research contributions, journal publications, and patented innovations in mechanical and automotive engineering.

Professional Experience

Dr. Saeed Farsad has over a decade of professional experience, combining academic research, teaching, and industry involvement. He is currently an Assistant Professor at Birjand University of Technology (BUT), where he teaches courses in fluid mechanics, statics, technical drawing (CATIA), and automotive technology. His international exposure includes a Visiting Assistant Professorship at Toronto Metropolitan University (TMU) and a Research Assistant position at York University, where he contributed to energy storage and fluid mechanics research. Beyond academia, Dr. Farsad has worked in the automotive industry, including roles at Toyota Motor Manufacturing Canada (TMMC) and Mechatronic Diagnostic Inc., where he gained hands-on experience in diagnostics and assembly line operations. His expertise spans experimental fluid flow measurement, energy systems, and mechanical design, making him a versatile researcher and educator with a unique blend of theoretical and applied engineering knowledge.

Research Interest

Dr. Saeed Farsad’s research interests lie in experimental fluid dynamics, renewable energy, and heat transfer. His work focuses on vortex shedding, aerodynamics, and thermo-fluidic properties, with applications in wind and water tunnel experiments. He has also made significant contributions to solar desalination, adsorption-based energy storage, and magnetic nanofluid heat transfer. His interdisciplinary research integrates advanced experimental techniques such as Particle Image Velocimetry (PIV), Laser Doppler Velocimetry (LDV), and Hot-Wire Anemometry (HWA) to enhance the understanding of fluid flow and heat exchange mechanisms. In addition, Dr. Farsad explores automotive aerodynamics, energy-efficient HVAC systems, and turbulence modeling, bridging the gap between engineering applications and sustainable energy solutions. His collaborations with international researchers in Canada and Iran further strengthen his impact in the global scientific community, ensuring that his research contributes to both theoretical advancements and industrial applications.

Awards and Honors

Dr. Saeed Farsad has received several awards and recognitions for his contributions to mechanical engineering and applied sciences. He was honored as the Elective Researcher of the Province in 2011, recognizing his pioneering research in fluid mechanics and energy systems. His academic excellence is reflected in his third-place ranking in Associate Graduate Courses at Mashhad Technical College and his 16th rank among 6,000 applicants in the B.Sc. Automotive Mechanics Entrance Exam. His innovative research has led to multiple patents, including a Smart Filter equipped with an alarm system and a device for the collection and separation of machine tool waste. With publications in high-impact journals and invitations to prestigious international awards, Dr. Farsad’s achievements highlight his significant contributions to engineering innovation and scientific advancements.

Conclusion

Dr. Saeed Farsad is a highly accomplished researcher, educator, and engineer with expertise in experimental fluid dynamics, renewable energy, and heat transfer. His strong academic background, diverse professional experience, and impactful research contributions make him a leading figure in mechanical engineering. His ability to integrate theoretical research with practical applications has resulted in high-impact journal publications, patents, and industrial collaborations. His work in aerodynamics, solar desalination, and energy storage has broad implications for sustainable engineering and environmental solutions. With international research experience and teaching roles in Canada and Iran, Dr. Farsad has established himself as a global expert in his field. His dedication to scientific excellence and innovation positions him as a strong candidate for prestigious research awards, reinforcing his influence in the engineering and academic communities worldwide.

Publications Top Noted

 

Raja Rani Titti | Applied Mathematics | Best Researcher Award

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Dr. Raja Rani Titti | Applied Mathematics | Best Researcher Award

Deputy Head of FPD at Military Technological College, Oman

Dr. T Raja Rani is a distinguished researcher and academician with extensive contributions to mathematics, artificial intelligence, IoT, and biomedical engineering. With 65 research papers, a book published by Taylor & Francis (CRC Press, UK), and multiple international award presentations, she has established herself as a leader in her field. She has served as a reviewer and editorial board member for reputed journals and has supervised PhD scholars and student research projects. As the Principal Investigator for government-funded projects from the Ministry of Higher Education and Ministry of Defence, she has led innovative studies in AI-driven healthcare and smart automation. She has also held key academic roles, contributing to institutional research development. Recognized for her interdisciplinary expertise and global collaborations, Dr. Raja Rani is a strong candidate for the Best Researcher Award, with future potential in high-impact publications, industry partnerships, and international research funding.

Professional Profile

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Education

Dr. T Raja Rani holds a strong academic background in mathematics and computational sciences, equipping her with expertise in applied mathematics, artificial intelligence, and IoT-based systems. She earned her degrees from prestigious institutions, specializing in differential equations, machine learning applications, and biomedical engineering research. Her academic journey has been marked by a passion for interdisciplinary research, combining theoretical and practical knowledge to address complex real-world challenges. With a commitment to continuous learning, she has also actively participated in professional development programs, workshops, and research collaborations to enhance her expertise. Her educational foundation has played a crucial role in shaping her research contributions, enabling her to publish high-quality journal articles, lead innovative projects, and mentor students in advanced research fields. Dr. Raja Rani’s dedication to academia and research has made her a respected scholar in her domain, contributing significantly to advancements in mathematical modeling, AI, and IoT applications.

Professional Experience

Dr. T Raja Rani has an extensive academic and research career spanning over two decades in reputed institutions across India and Oman. She has served as a lecturer, associate professor, and research coordinator, contributing to curriculum development, student mentorship, and institutional research initiatives. She worked at Military Technological College, Higher College of Technology, and Ibri College of Technology in Oman, where she played a pivotal role in mathematics program coordination, research development, and quality assurance. She has also contributed as an interview panelist for academic recruitment and has mentored several undergraduate and PhD scholars in AI-driven biomedical and IoT projects. In addition, she has actively participated in international awards, journal editorial boards, and funded research projects. Her career is marked by a dedication to bridging the gap between theoretical research and practical applications, making her an invaluable contributor to academia and industry collaborations.

Research Interest

Dr. T Raja Rani’s research interests lie at the intersection of applied mathematics, artificial intelligence, IoT, and biomedical engineering. She specializes in differential equations, machine learning algorithms, and computational modeling, applying these techniques to solve real-world problems in healthcare, automation, and smart city infrastructure. Her work explores AI-driven predictive analytics for medical diagnosis, IoT-based automation systems, and mathematical simulations for engineering applications. She has led multiple interdisciplinary projects, including the development of IoT-based home automation, hydroponic farming solutions, and AI models for cardiovascular disease prediction. Her passion for cutting-edge research is reflected in her numerous publications, book authorship, and government-funded projects. By integrating AI and mathematics, she aims to develop smart, efficient, and sustainable solutions for various industries. Moving forward, she seeks to expand her research into high-impact AI applications, industry collaborations, and global research partnerships to further drive technological innovation.

Awards and Honors

Dr. T Raja Rani has received significant recognition for her research contributions, academic leadership, and interdisciplinary expertise. She has authored 65+ research papers in reputed international journals and awards, securing funded projects from the Ministry of Higher Education and Ministry of Defence in Oman. Her book publication with Taylor & Francis (CRC Press, UK) highlights her expertise in differential equations and computational analysis. As a reviewer and editorial board member for international journals, she has played a key role in shaping academic research in her field. Her award presentations, including at WCE-2014 in London, have established her as a global researcher. Her work in IoT, AI-driven healthcare solutions, and mathematical modeling has positioned her as a leading scholar. These achievements make her a deserving candidate for prestigious research awards and further opportunities in high-impact global collaborations and research funding.

Conclusion

Dr. T Raja Rani is an accomplished researcher and academician, with a career dedicated to mathematical modeling, AI, and IoT applications. With extensive research contributions, government-funded projects, and academic leadership, she has significantly advanced interdisciplinary research. Her expertise spans machine learning, biomedical applications, and automation technologies, leading to impactful innovations in healthcare, engineering, and smart infrastructure. She has also been a mentor, reviewer, and institutional research coordinator, fostering academic excellence. Moving forward, she aims to strengthen industry collaborations, high-impact journal publications, and international research funding to further elevate her contributions. With her proven track record, Dr. Raja Rani is a strong candidate for the Best Researcher Award, and her work will continue to shape advancements in AI-driven research and technological innovation.

Publications Top Noted

  • Title: ML-based Approach to Predict Carotid Arterial Blood Flow Dynamics
    Authors: TR Rani, A Al Shibli, M Siraj, W Srimal, NZS Al Bakri, TSL Radhika
    Year: 2009
    Citations: 2
    Source: Contemporary Mathematics

  • Title: Approximate Analytical Methods for Solving Ordinary Differential Equations
    Authors: TSL Radhika, TKV Iyengar, TR Rani
    Year: 2014
    Citations: 25
    Source: CRC Press

  • Title: Econophysics and Fractional Calculus: Einstein’s Evolution Equation, the Fractal Market Hypothesis, Trend Analysis, and Future Price Prediction
    Authors: J Blackledge, D Kearney, M Lamphiere, R Rani, P Walsh
    Year: 2019
    Citations: 15
    Source: Mathematics, 7 (11), 1057

  • Title: Effect of Radiation and Magnetic Field on Mixed Convection at a Vertical Plate in a Porous Medium with Variable Fluid Properties and Varying Wall Temperature
    Authors: TR Rani, CNB Rao, VL Prasannam
    Year: 2010
    Citations: 6
    Source: Proceedings of the International Multiaward of Engineers and Computer Science

  • Title: The Effects of Viscous Dissipation on Convection in a Porous Medium
    Authors: TR Rani, TSL Radhika, JM Blackledge
    Year: 2017
    Citations: 5
    Source: Mathematica Aeterna, 7 (2), 131-145

  • Title: MHD Free Convective Heat Transfer Flow Past a Vertical Plate Embedded in a Porous Medium with Effects of Variable Fluid Properties in the Presence of Heat Source
    Authors: TR Rani, R Palli
    Year: 2014
    Citations: 4
    Source: Proceedings of the World Congress on Engineering

  • Title: Measuring Software Design Class Metrics: A Tool Approach
    Authors: T Rani, M Sanyal, S Garg
    Year: 2012
    Citations: 4
    Source: International Journal of Engineering Research & Technology (IJERT)

  • Title: Free Convection in a Porous Medium with Magnetic Field
    Authors: V Lakshmi Prasannam, T Raja Rani, R CNB
    Year: 2009
    Citations: 4
    Source: International Journal of Computational Mathematical Ideas

  • Title: Quantile Loss Function Empowered Machine Learning Models for Predicting Carotid Arterial Blood Flow Characteristics
    Authors: TR Rani, W Srimal, A Al Shibli, NZS Al Bakri, M Siraj, TSL Radhika
    Year: 2023
    Citations: 3
    Source: WSEAS Transactions on Biology and Biomedicine

  • Title: On a Study of Flow Past Non-Newtonian Fluid Bubbles
    Authors: TSL Radhika, TR Rani
    Year: 2021
    Citations: 3
    Source: WSEAS Transactions on Fluid Mechanics

  • Title: Creeping Flow of a Viscous Fluid Past a Pair of Porous Separated Spheres
    Authors: TSL Radhika, T Raja Rani, D Dwivedi
    Year: 2020
    Citations: 3
    Source: BPAS Publications, 39 (1), 58-76

  • Title: Stochastic Modelling for Lévy Distributed Systems
    Authors: J Blackledge, TR Rani
    Year: 2017
    Citations: 3
    Source: Technological University Dublin

  • Title: Time-Dependent Flow of a Couple Stress Fluid in an Elastic Circular Cylinder with Application to the Human Circulatory System
    Authors: TSL Radhika, TR Rani, A Karthik
    Year: 2020
    Citations: 2
    Source: Academic Journal of Applied Mathematical Sciences, 6 (7), 126-135

  • Title: Comparison of HAM and Numerical Solutions for a Free Convection Problem with Variable Fluid Properties, Heat Source/Sink, and Radiation
    Authors: T Raja Rani, TSL Radhika, R Palli
    Year: 2016
    Citations: 2
    Source: Journal of Information and Optimization Sciences, 37 (3), 405-422

  • Title: An Application of HAM for MHD Heat Source Problem with Variable Fluid Properties
    Authors: TR Rani, TSL Radhika, R Palli
    Year: 2014
    Citations: 2
    Source: Advances in Theoretical and Applied Mechanics, 7 (2), 79-89

  • Title: Mixed Convection in a Porous Medium with Magnetic Field, Variable Viscosity, and Varying Wall Temperature
    Authors: CNB Rao, VL Prasannam, T Raja Rani
    Year: 2010
    Citations: 2
    Source: International Journal of Computational Mathematical Ideas, 2 (1), 13-21

  • Title: Shor’s Algorithm – How Does It Work on Perfect Squares
    Authors: TSL Radhika
    Year: 2024

  • Title: Enhancing Crude Oil Pipeline Design Efficiency Through Explainable AI: A COMSOL Simulation Approach
    Authors: BJ Jose, P Jain, TR Rani
    Year: 2025
    Source: Innovative and Intelligent Digital Technologies

 

Leonid Litinskii | Applied Mathematics | Best Researcher Award

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Dr. Leonid Litinskii | Applied Mathematics | Best Researcher Award

Retired at Scientific Research Institute for System Analysis (formerly), Russia

Dr. Leonid Litinskii is a retired principal research scientist with an extensive academic and professional background in mathematical methods and statistical physics. He graduated from Kharkiv State University, Ukraine, and held prominent positions at the Institute for High Pressure Physics, Russian Academy of Sciences, and the Scientific Research Institute for System Analysis. With over 50 years of research experience, Dr. Litinskii is known for his pioneering work in developing the theory of vector neuron networks and the n-vicinity method for calculating the partition function in the Ising model. He has published around 100 papers in renowned scientific journals and contributed to the study of eigenvalues in the Ising model’s connection matrix. Additionally, Dr. Litinskii has made significant contributions to the analysis of quadratic functionals in large binary variable systems. A member of the European Neural Networks Society, he has left a lasting impact on the fields of mathematics and neural networks.

Professional Profile 

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Education

Dr. Leonid Litinskii completed his education at Kharkiv State University (now V. N. Karazin Kharkiv National University) in Ukraine, where he studied mathematics from 1966 to 1971. This solid foundation in mathematics paved the way for his distinguished career as a scientific researcher. His academic journey has always been focused on applying mathematical methods to complex scientific problems, particularly in statistical physics and neural networks. His studies and early research experiences contributed significantly to his future breakthroughs in these fields.

Professional Experience

Dr. Litinskii’s professional career spans over five decades, with notable research positions at esteemed institutions. He began his career as a scientific researcher at the Institute for High Pressure Physics of the Russian Academy of Sciences from 1973 to 2001. From 2001 to 2023, he worked as a Principal Research Scientist at the Scientific Research Institute for System Analysis, also within the Russian Academy of Sciences. Throughout his career, Dr. Litinskii has contributed extensively to the fields of mathematical physics and neural networks.

Research Interest

Dr. Litinskii’s research interests are primarily centered around mathematical methods in statistical physics and their application to neural networks. He has developed the theory of vector neuron networks and formulated the n-vicinity method for calculating the partition function of the Ising model. His work on the properties of eigenvalues in the Ising model’s connection matrix has been a significant contribution to the field of computational physics. Additionally, Dr. Litinskii has focused on the study of quadratic functionals in large binary variable systems, advancing mathematical modeling techniques.

Award and Honor

Throughout his career, Dr. Litinskii has earned recognition for his groundbreaking work in neural networks and statistical physics. While the details of specific awards and honors are not provided, his long tenure as a Principal Research Scientist and his role in advancing the fields of mathematics and neural networks have earned him respect and recognition in the scientific community. He is a member of the European Neural Networks Society, further emphasizing his distinguished position in the research community.

Conclusion

Dr. Leonid Litinskii’s career is a testament to dedication, innovation, and scholarly excellence. With over 50 years of research experience, his contributions to mathematical physics, neural networks, and statistical physics have been substantial. His work in developing the theory of vector neuron networks and the n-vicinity method has had a lasting impact on these fields. Though he has not yet focused on patents or practical applications, his theoretical contributions remain foundational. Dr. Litinskii’s legacy is one of a leading thinker who has shaped the advancement of mathematical and physical sciences.

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Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

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

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

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

Professional Profile 

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Education

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

Professional Experience

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

Research Interests

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

Awards and Honors

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

Conclusion

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

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