Himanshu Kumar – Computational Physics – Excellence in Research 

Dr. Himanshu Kumar - Computational Physics - Excellence in Research 

Damghan University - India

Author Profile

Scopus

🎓 Early Academic Pursuits

Dr. Himanshu Kumar's academic journey began with a strong foundation in physics and computational sciences. He earned his BSc in Physics from Vinobha Bhave University, Jharkhand, India (1993-1996), followed by an Advanced Diploma in Information Systems from Oxford Software Institute, Delhi, India (1996-1998). His interdisciplinary approach to science and technology was further strengthened when he pursued PGDITM (Equivalent to MSc in Management and Information) at AIMA, Delhi, India (1998-2002). His passion for physics led him to earn an MSc in Physics from Jamia Millia Islamia University, Delhi, India (2002-2004), culminating in a PhD in Physics from the same institution (2007-2014). These formative years provided him with a deep understanding of both theoretical and computational physics, laying the groundwork for his future contributions to the field.

💼 Professional Endeavors

Dr. Himanshu Kumar has an extensive teaching career spanning over two decades. His professional endeavors post-PhD include roles such as Adjunct Professor at Delhi Technological University (2024-Present) and Affiliated Faculty at the School of Physics, Damghan University, Iran (2023-Present). Previously, he was an Assistant Professor at Delhi University (2016-2023), NSUT University (2014-2016), and Lingaya University (2013-2014). Before earning his PhD, he served as a Senior Lecturer at Skyline Institute of Engineering and Technology, Greater Noida (2006-2010). His extensive teaching portfolio covers a wide range of physics, computer science, and mathematics courses, including Computational Physics, Cosmology, Classical Mechanics, Solid State Physics, and Engineering Physics. His high student evaluation scores across multiple institutions reflect his dedication to quality education.

🔬 Contributions and Research Focus

Dr. Kumar’s primary research focus is on Computational Physics, where he specializes in modeling complex physical systems both analytically and numerically. He has published five papers in high-impact journals, with an additional three papers on arXiv and three more in communication. His research contributions extend beyond publication; he has delivered six talks at various conferences, showcasing his expertise in computational methodologies. His research integrates physics, computer science, and mathematical modeling, pushing the boundaries of how computational techniques can be applied to physical phenomena.

🌍 Impact and Influence

Dr. Kumar’s impact is felt both in academia and in the broader field of computational sciences. His contributions to Computational Physics have influenced students, researchers, and institutions, leading to significant advancements in numerical modeling techniques. He has mentored six students in summer research programs, guiding them toward groundbreaking discoveries in the field. His role as a researcher and educator has enabled him to shape the next generation of physicists and computational scientists.

🏆Academic Cites

Dr. Himanshu Kumar's research has received recognition and citations in high-impact scientific journals, indicating the significance of his work in Computational Physics. His contributions are frequently referenced by other researchers working on computational models in physics, numerical analysis, and theoretical simulations. His involvement in various conferences has further solidified his reputation as a thought leader in the field.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Kumar aims to continue his pioneering work in Computational Physics, further refining numerical methods and developing innovative models to solve complex physical problems. His future contributions are expected to influence emerging areas of research, particularly in computational modeling and simulation. Through continued mentorship, research, and teaching, he will leave a lasting impact on both academic and applied physics, ensuring his legacy as a key figure in the advancement of computational methodologies.

📝Computational Physics

Dr. Himanshu Kumar’s extensive contributions to Computational Physics have advanced the field by integrating analytical and numerical modeling techniques. His research in Computational Physics has resulted in high-impact publications and significant academic recognition. The future of Computational Physics is set to benefit from his continued work in developing innovative computational models for complex physical systems.

Notable Publication


📝Quantum gravitational corrections to the geometry of charged AdS black holes

Authors: Behnam Pourhassan, Ruben Campos Delgado, Sudhaker Upadhyay, Hoda Farahani, Himanshu Kumar

Journal: Nuclear Physics, Section B

Year: 2025

Citations: 0

Mukhtarbay Otelbayev – Mathematics – Best Researcher Award 

Prof. Dr. Mukhtarbay Otelbayev - Mathematics - Best Researcher Award 

Al-Farabi Kazakh National University - Kazakhstan 

Author Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Prof. Dr. Mukhtarbay Otelbayev began his academic journey at Kyrgyz State University in Frunze (now Bishkek). His studies were briefly interrupted from 1962 to 1965 when he served in the Soviet Army. Following his service, he pursued advanced education at the Mechanics and Mathematics Department of Moscow State University, where he graduated in 1969. Recognized for his academic excellence, he was immediately accepted into graduate school and successfully defended his Ph.D. dissertation in 1972 on the topic "On the Spectrum of Some Differential Operators." Under the supervision of distinguished mathematicians, he laid the foundation for his career in mathematics and mathematical modeling.

💼 Professional Endeavors

After completing his Ph.D., Prof. Otelbayev started his career as a junior research fellow at the Institute of Mathematics and Mechanics of the Academy of Sciences of the Kazakh SSR in Almaty. He later progressed to senior research fellow and head of the laboratory. In 1978, he defended his doctoral dissertation on "Estimation of the Spectrum of Elliptic Operators and Related Introductory Theorems" at Moscow State University, in a council led by the legendary mathematician A.N. Kolmogorov. His professional career saw him take up significant roles, including Rector of the Dzhambul Pedagogical Institute (1985–1986) and organizer/director of the Institute of Applied Mathematics (1991–1993) in Karaganda.

Since 2001, he has served as Deputy Director of the Kazakhstan branch of Moscow State University and Director of the Eurasian Mathematical Institute at L.N. Gumilyov Eurasian National University. His long-standing commitment to mathematics is evident in his leadership roles in educational and research institutions.

🔬 Contributions and Research Focus

Prof. Otelbayev has significantly advanced the field of mathematics, particularly in spectral theory, differential operators, and mathematical modeling. His research has focused on estimating spectral properties of elliptic operators, contributing to the theoretical underpinnings of mathematical physics and applied mathematics. He has played a vital role in the development of mathematical sciences in Kazakhstan, publishing influential papers and leading international collaborations.

🌍 Impact and Influence

As an academician of the National Academy of Sciences of the Republic of Kazakhstan, Prof. Otelbayev’s influence extends beyond national borders. He has been a key figure in organizing mathematical research and education in Central Asia. His editorial contributions to leading mathematical journals, including the "Eurasian Mathematical Journal," have shaped contemporary research. His efforts have helped bridge the gap between theoretical and applied mathematics, fostering interdisciplinary collaborations.

🏆Academic Cites

Prof. Otelbayev's research is highly regarded in the academic community, with numerous citations in leading journals. His contributions to spectral theory and differential equations have been referenced by mathematicians and physicists worldwide. His works continue to be foundational for researchers working in functional analysis and mathematical modeling.

🌟 Legacy and Future Contributions

Mukhtarbay Otelbayev's legacy is cemented through his contributions to mathematical research, education, and institutional development. His role in mentoring young mathematicians and shaping research institutions has had a lasting impact. Looking ahead, his research will continue to inspire advancements in mathematics, particularly in mathematical modeling and applied mathematical theories. His influence will persist through his publications, mentorship, and contributions to the mathematical community.

📝Notable Publication


📝Title: On the theory of generalized analytic Vekua functions with a singular point

Authors: M.O. Otelbaev (Mukhtarbay O.), B.D. Koshanov (Bakytbek Danebekovich), N.O. Oralbekova (N.O.)

Journal: Complex Variables and Elliptic Equations

Year: 2025

Citations: 0


📝Title: Solvability of Some Elliptic Equations with a Nonlocal Boundary Condition

Authors: S.E. Aitzhanov (Serik Ersultanovich), B.D. Koshanov (Bakytbek Danebekovich), A.D. Kuntuarova (Aray D.)

Journal: Mathematics

Year: 2024

Citations: 0

Sapna Baluni | Nonlinear dynamics | Best Researcher Award

Ms. Sapna Baluni | Nonlinear dynamics | Best Researcher Award 

Chandigarh University Luckow campus | India  

AUTHOR PROFILE

EARLY ACADEMIC PURSUITS

Ms. Sapna Baluni began her academic journey at Hemwati Nandan Bahuguna Garhwal University, where she earned her B.Sc. in Physics, Chemistry, and Mathematics from July 2013 to May 2016. She continued her studies at the same institution, completing her M.Sc. in Mathematics from August 2016 to May 2018. Ms. Baluni then pursued her Ph.D. in Nonlinear Dynamics and Synchronization of Neural Networks at the Indian Institute of Technology (BHU), Varanasi, under the supervision of Prof. Subir Das. Her doctoral research, completed in May 2024, focused on Nonlinear Dynamics, emphasizing Synchronization of Neural Networks and the application of advanced mathematical techniques in this domain.

PROFESSIONAL ENDEAVORS

Ms. Baluni currently serves as an Assistant Professor in Mathematical Sciences at Chandigarh University, Lucknow Campus, India, since June 2024. Her role involves teaching courses and conducting research in her areas of expertise. Prior to this, she completed her doctoral studies at IIT (BHU) Varanasi, where she actively engaged in research related to Nonlinear Dynamics and Synchronization of Neural Networks. Her academic journey is marked by her involvement in various workshops and conferences, where she has shared her knowledge and contributed to discussions on Nonlinear Dynamics and its applications.

CONTRIBUTIONS AND RESEARCH FOCUS

Ms. Baluni's research contributions focus on Nonlinear Dynamics, Stability Analysis, Synchronization, and Neural Networks. Her work explores complex mathematical models and their applications in understanding dynamic systems. She has participated in numerous workshops and conferences, including those on Nonlinear Applied Analysis, Dynamical Systems, and Computational Mathematics. Her research in Nonlinear Dynamics and related fields has provided valuable insights into system stability and synchronization, contributing to the advancement of mathematical sciences.

CITATIONS

  • Citations  33
  • h-index    3
  • i10-index 1

IMPACT AND INFLUENCE

Ms. Baluni's work in Nonlinear Dynamics and Synchronization of Neural Networks has had a notable impact on the field of mathematical sciences. Her research has been presented at various international conferences, highlighting her contributions to understanding complex dynamic systems. Her expertise in Nonlinear Dynamics is evident through her active participation in relevant workshops and conferences, reflecting the significance and influence of her work in advancing the field.

ACADEMIC CITATIONS

Ms. Baluni's research has been recognized and cited in academic circles, underscoring the relevance of her work in Nonlinear Dynamics. Her participation in high-profile conferences and workshops demonstrates the scholarly impact of her research. The citations and recognition of her work reflect the importance of her contributions to the field and the influence she has had on advancing knowledge in Nonlinear Dynamics and related areas.

LEGACY AND FUTURE CONTRIBUTIONS

Ms. Baluni's legacy is defined by her dedication to advancing the field of Nonlinear Dynamics through innovative research and academic contributions. Her future work is expected to further explore the complexities of dynamic systems and contribute to the development of new methodologies in Nonlinear Dynamics. As an emerging expert in her field, Ms. Baluni continues to inspire future researchers and contribute to the ongoing advancement of mathematical sciences.

NONLINEAR DYNAMICS 

Ms. Baluni's research prominently features the keywords Nonlinear Dynamics, Synchronization, and Neural Networks. Her work in Nonlinear Dynamics explores complex systems and their behavior, while her focus on Synchronization addresses the coordination of dynamic systems. The integration of these keywords in her research highlights the core themes of her academic pursuits and underscores her contributions to understanding and advancing the field of Nonlinear Dynamics.

NOTABLE PUBLICATION

  • Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays
    • Authors: Baluni, S., Yadav, V.K., Das, S., Cao, J.
    • Journal: Cognitive Computation
    • Year: 2024
  • Lagrange Stability Criteria for Hypercomplex Neural Networks with Time Varying Delays
    • Authors: Baluni, S., Yadav, V.K., Das, S.
    • Journal: Communications in Nonlinear Science and Numerical Simulation
    • Year: 2024
  • Function Projective Mittag-Leffler Synchronization of Non-Identical Fractional-Order Neural Networks
    • Authors: Baluni, S., Yadav, V.K., Das, S., Cao, J.
    • Journal: Physica Scripta
    • Year: 2024
  • Quasi Projective Synchronization of Time Varying Delayed Complex Valued Cohen-Grossberg Neural Networks
    • Authors: Baluni, S., Yadav, V.K., Das, S.
    • Journal: Information Sciences
    • Year: 2022
  • Lagrange α-Exponential Synchronization of Non-Identical Fractional-Order Complex-Valued Neural Networks
    • Authors: Baluni, S., Das, S., Yadav, V.K., Cao, J.
    • Journal: Circuits, Systems, and Signal Processing
    • Year: 2022