Khushdil Ahmad | Pure Mathematics | Excellence in Research

Dr. Khushdil Ahmad | Pure Mathematics | Excellence in Research

Khushdil Ahmad | Government College University | Pakistan

Dr. Khushdil Ahmad is a Visiting Faculty Member in the Department of Mathematics at Government College University, Lahore, specializing in Fixed Point Theory, Nonlinear Analysis, and Algebraic Combinatorics. He earned his Ph.D. in Mathematics from Government College University, Lahore, where his research explored posets at the intersection of combinatorics and category theory under the supervision of Prof. Dr. Khurram Shabbir and Dr. Eric Rubiel Dolores-Cuenca. He also holds an M.Phil. in Mathematics from the same institution, where he investigated the approximation of fixed points of multivalued nonexpansive mappings in ordered CAT(0) spaces, and a BS in Mathematics from Government Post Graduate Jahanzeb College, Swat. Dr. Ahmad has served as a visiting faculty member at both Government College University, Lahore, and Government M.A.O. Graduate College, Lahore, teaching a range of undergraduate and advanced mathematics courses including Real Analysis, Optimization Theory, Graph Theory, and Numerical Analysis. His research contributions encompass over ten peer-reviewed publications in reputed international journals such as Symmetry, Fractal and Fractional, Journal of Function Spaces, AIMS Mathematics, and Journal of Algebraic Combinatorics. His work focuses on iterative schemes, computational methods in Banach and CAT(0) spaces, and applications of fixed point theory in mathematical modeling and dynamic systems. In addition to his research, he actively serves as a reviewer for multiple international journals, including Open Mathematics, Alexandria Engineering Journal, Qeios, Sahand Communications in Mathematical Analysis, and Iraqi Journal of Science. Dr. Ahmad is also an Academic Board Member of Global Open Share Publishing and advisor to Dr. Salam Society for Mathematics at GC University. His scholarly excellence is reflected in his growing citation record and contributions to collaborative global research. He has presented at international conferences, including the 1st International Conference on Mathematics and Mathematics Education, Indonesia, and continues to advance mathematical inquiry through both teaching and research.27 Citations, 11 Documents, h-index: 3.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Ahmad, K.*., Shabbir, K., & Ahsan, K. (2025). A refined inertial-like subgradient method for split equality problems. AppliedMath, 5(3), 117.

2. Jia, J., Shabbir, K., Ahmad, K.*, Shah, N. A., & Botmart, T. (2022). Strong convergence of a new hybrid iterative scheme for nonexpensive mappings and applications. Journal of Function Spaces, 2022(1), 4855173. Citations: 19

3. Ahmad, K.*., Dolores-Cuenca, E. R., & Shabbir, K. (2025). Shuffle series. Journal of Algebraic Combinatorics, 61(2), 1–40. Citations: 2.

4. Ahmad, K.*., Shabbir, K., & Nazar, N. (2024). Convergence analysis of Picard–Thakur hybrid iterative scheme for α-nonexpansive mappings in uniformly convex Banach spaces. International Journal of Applied Mathematical Research, 13(1), 34–48. Citations: 2.

5. Khan, S. H., Ahmad, K.*, & Abbas, M. (2023). Approximation of fixed points for a pair of certain nonexpansive type mappings with applications. Punjab University Journal of Mathematics, 55(11), 427–449. Citations: 2.

Mandli Rami Reddy | Mathematical Engineering | India

Assist. Prof. Dr. Mandli Rami Reddy | Mathematical Engineering | India

Assistant Professor at Srinivasa Ramanujan Institute of Technology, India

Assist. Prof. Dr. Mandli Rami Reddy is a distinguished academic and researcher with over 18 years of teaching and research experience in Electronics and Communication Engineering, specializing in Wireless Sensor Networks, Wireless Communications, and IoT. He earned his B.Tech from SVCET, M.Tech in Communication and Signal Processing from GPREC, and is currently pursuing his Ph.D. at JNTUA, Anantapur. He has published numerous impactful papers in SCIE and Scopus-indexed journals and international conferences, along with four published patents in advanced wireless, AI, and IoT technologies. Beyond research, he actively contributes as a reviewer for reputed journals and is a life member of professional bodies including ISTE, IE(I), and IETE. His innovative research, academic leadership, and community involvement mark him as a promising scholar with strong future potential.

Professional Profile

Google Scholar | ORCID Profile 

Education

Assist. Prof. Dr. Mandli Rami Reddy has pursued a strong academic foundation in Electronics and Communication Engineering. He completed his Bachelor of Technology (B.Tech) in Electronics and Communication Engineering from SVCET, Chittoor, affiliated with JNTU Hyderabad. He later obtained his Master of Technology (M.Tech) in Communication and Signal Processing from GPREC, Kurnool, Andhra Pradesh. With a strong interest in advanced research, he is currently pursuing his Ph.D. at Jawaharlal Nehru Technological University Anantapur (JNTUA), Andhra Pradesh, India. His academic journey reflects a continuous pursuit of knowledge and innovation, with a focus on wireless sensor networks and communication systems. His educational background equips him with both theoretical expertise and practical insights into the evolving field of communication engineering, laying the groundwork for impactful research and teaching contributions.

Experience

Dr. Mandli Rami Reddy has more than eighteen years of academic and research experience, primarily as an Assistant Professor in Electronics and Communication Engineering. Over the years, he has served in several reputed engineering institutions across Andhra Pradesh and Telangana before joining Srinivasa Ramanujan Institute of Technology, Anantapur, where he continues to contribute actively. His teaching spans a wide range of subjects in communication and electronics, nurturing young engineers with strong technical skills and research-oriented thinking. With his expertise, he has mentored students in academic projects, research publications, and technology-driven innovations. In addition to teaching, he has established himself as a productive researcher with a series of published papers, patents, and international collaborations, thus balancing both academic and professional contributions effectively throughout his career.

Research Interest

The primary research interests of Dr. Mandli Rami Reddy focus on Wireless Sensor Networks, Wireless Communications, and Internet of Things (IoT). His studies emphasize enhancing localization techniques, improving network coverage, and optimizing energy efficiency in sensor networks using advanced algorithms. He has applied methods such as Particle Swarm Optimization, Genetic Algorithms, and Grey Wolf Optimization to develop robust solutions for network performance challenges. Furthermore, his research extends to the design of intelligent IoT devices, AI-based tools for optical communication, and sustainable applications like smart waste management systems. His publications in leading SCIE and Scopus-indexed journals demonstrate his commitment to addressing real-world technological issues. Through these research pursuits, he aims to contribute solutions that not only advance the field of communication engineering but also benefit industrial applications and societal needs.

Award and Honor

Throughout his career, Dr. Mandli Rami Reddy has been recognized for his contributions to research and academia. He has successfully published four patents in areas spanning wireless sensor networks, AI-based communication devices, and IoT-driven applications, demonstrating his innovation and problem-solving abilities. His academic publications in prestigious journals such as Applied Sciences, Wireless Networks, Computers, and SN Computer Science reflect his scholarly impact. He also contributes as a reviewer for reputed journals like the American Journal of Applied Scientific Research, showcasing his professional recognition within the research community. In addition, his memberships with professional organizations such as ISTE, IEI, IETE, IAENG, and SDIWC highlight his active engagement in professional networks. These honors collectively underline his dedication, innovation, and leadership in engineering research and education.

Research Skill

Dr. Mandli Rami Reddy possesses diverse research skills spanning algorithm development, wireless network optimization, and IoT device innovation. His expertise lies in improving accuracy in localization algorithms such as DV-Hop by integrating metaheuristic techniques including Particle Swarm Optimization and Genetic Algorithms. He has also worked extensively on energy-efficient protocols for wireless networks and smart device integration for sustainable applications. His ability to file patents demonstrates not only research competence but also practical application of technology to real-world challenges. Proficiency in academic writing, data analysis, and project execution further strengthen his profile as a capable researcher. Additionally, his collaborative approach and reviewing experience enhance his ability to critically assess and contribute to the scientific community. These combined skills enable him to create impactful and innovative research outcomes with academic and industrial relevance.

Publication Top Notes

  • Title: Energy-Efficient Cluster Head Selection in Wireless Sensor Networks Using an Improved Grey Wolf Optimization Algorithm
    Authors: M. R. Reddy, M. L. R. Chandra, P. Venkatramana, R. Dilli
    Year: 2023
    Citations: 122

  • Title: High Speed, Low Matchline Voltage Swing and Search Line Activity TCAM Cell Array Design in 14 nm FinFET Technology
    Authors: Ravindra Kumar
    Year: 2020
    Citations: 9*

  • Title: An improved 3D-DV-hop localization algorithm to improve accuracy for 3D wireless sensor networks
    Authors: M. R. Reddy, M. L. R. Chandra
    Year: 2024
    Citations: 5

  • Title: An enhanced 3D-DV-hop localisation algorithm for 3D wireless sensor networks
    Authors: M. R. Reddy, M. L. Ravi Chandra
    Year: 2024
    Citations: 3

  • Title: System Identification Using an Affine Combination of Two LMS Adaptive Filters
    Authors: P. Nagarjuna, M. Rami Reddy
    Year: 2012
    Citations: 1

  • Title: Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks
    Authors: M. R. Reddy, M. L. R. Chandra, R. Dilli
    Year: 2025

  • Title: A Simplified Approach of Correlated Rician Fading Channel Estimation in Multi-User Ultra-Massive MIMO RIS-assisted Narrow Band Wireless Systems
    Authors: R. R. Mandli, M. L. R. Chandra, R. Dilli
    Year: 2024

  • Title: Optimal Node Deployment and Coverage in Next Generation Wireless Sensor Networks Applications
    Authors: R. R. Mandli, M. L. R. Chandra, R. Dilli
    Year: 2024

  • Title: Gaussian-Newton Localization Through Multilateration Algorithm for Wireless Sensor Networks
    Authors: M. R. Reddy, M. L. R. Chandra
    Year: 2023

  • Title: Design of 6G Communication System at THz Frequency Bands
    Authors: R. Dilli, R. C. M. L., R. R. Mandli
    Year: 2021

  • Title: Optimization Algorithm for Noise Cancellation Using Adaptive Estimator
    Authors: T. K. P. Mandli Rami Reddy, C. Thippeswamy
    Year: 2020

  • Title: A Nature Based Computing Technique for Image Watermarking using Bacterial Foraging Optimization, Wavelet and Cosine Transform
    Authors: M. L. R. C. Alam Siva Sankar, Mandli Rami Reddy
    Year: 2020

Conclusion

Assist. Prof. Dr. Mandli Rami Reddy stands out as a dedicated academician, researcher, and innovator with nearly two decades of impactful contributions in teaching and research. His educational background, research achievements, patents, and professional involvement position him as a strong contributor to the fields of communication engineering and IoT. With publications in reputed journals, successful patents, and active participation in professional societies, he continues to inspire students and peers alike. His balanced expertise in both theory and application reflects his commitment to bridging academic research with practical innovations. Looking ahead, his strong foundation, research skills, and leadership potential will enable him to expand international collaborations, publish in top-tier journals, and contribute further to advancing technology and benefiting society.

Valeriy Demchenko | Applied Mathematics | Best Researcher Award

Prof. Valeriy Demchenko | Applied Mathematics | Best Researcher Award

Professor at Leading Researcher Plastics Welding Department, E.O. Paton Electric Welding Institute of the National Academy of Sciences of Ukraine, Ukraine.

Prof. Valeriy Demchenko is a leading Ukrainian researcher specializing in macromolecular and polymer chemistry, with a strong focus on nanocomposites for biomedical and antimicrobial applications. Holding a Ph.D. in Physics and Mathematics and a Doctor of Sciences in Chemical Sciences, he currently serves as a Leading Researcher at the E.O. Paton Electric Welding Institute. Prof. Demchenko has led and contributed to numerous national research projects, authored high-impact publications in top-tier journals (Q1, Q2), and holds multiple patents in innovative polymer materials. He actively promotes science through public platforms and has played key roles in organizing scientific conferences. With his blend of academic excellence, research leadership, and real-world innovation, Prof. Demchenko is recognized as a dynamic and forward-thinking scientist driving impactful change in the fields of materials science and polymer chemistry.

Professional Profile

Google Scholar | Scopus Profile | ORCID Profile

Education

Prof. Valeriy Demchenko completed his undergraduate studies in Physics, Computer Science, and Astronomy at the National Pedagogical University named after M.P. Dragomanov. He earned his Ph.D. in Physics and Mathematics, specializing in Polymer Physics, from the Institute of Macromolecular Chemistry of the National Academy of Sciences (NAS) of Ukraine. He was awarded the Doctor of Sciences (Habilitation) in Chemical Sciences, with a specialization in Macromolecular Chemistry. His academic progression reflects a deep and consistent focus on polymer research and material sciences. He was granted the academic title of Associate Professor. Prof. Demchenko’s strong educational foundation, blending physical sciences with applied chemistry, has empowered his cutting-edge research in nanocomposites and biomedical materials.

Experience

Prof. Demchenko has progressive research experience in the fields of polymer chemistry and nanomaterials. Currently, he serves as a Leading Researcher at the E.O. Paton Electric Welding Institute. Previously, he worked as a Senior Researcher and Researcher at the Institute of Macromolecular Chemistry of NAS of Ukraine. His earlier roles included teaching astronomy and lecturing at the Cherkasy State Technological University. His experience spans academic instruction, industrial research, and national-level project leadership. He has managed multiple high-impact research projects, particularly in antimicrobial packaging, tissue-regenerative materials, and polymer composites. Prof. Demchenko’s versatile experience showcases his strong scientific leadership, mentorship, and innovation in real-world applications of polymer science.

Research Interest

Prof. Demchenko’s research interests center on macromolecular chemistry, nanocomposite materials, and biopolymer-based systems with specialized applications in healthcare, food packaging, and regenerative medicine. He focuses on the development of antimicrobial and antiviral materials, 3D-printable polymer nanocomposites, and functionalized biodegradable polymers using silver and copper nanoparticles. He is particularly invested in the design of polyelectrolyte complexes and metal-filled polymers for biomedical use. His work bridges materials science, nanotechnology, and biochemistry, with an emphasis on sustainability and public health impact. Through state-funded and collaborative projects, he explores innovations in smart materials and advanced polymer systems. Prof. Demchenko’s interdisciplinary approach and translational research outlook continue to drive significant scientific progress in modern polymer applications.

Award and Honor

Prof. Demchenko has earned notable recognition for his outstanding scientific work. He was awarded the Named Scholarship of the Verkhovna Rada of Ukraine for Young Scientists for his pioneering research in 3D-printed antimicrobial materials. He was also featured in the “Best Young Scientist of the Academy” initiative by the Council of Young Scientists of NAS of Ukraine. In addition to securing competitive national grants and leading multiple state-funded projects, his contributions have been validated through patents, keynote invitations, and editorial engagements. His leadership in organizing academic conferences and promoting scientific education further highlights his professional stature. These accolades underline his role as a forward-thinking researcher contributing meaningfully to both scientific advancement and societal benefit.

Research Skill

Prof. Demchenko possesses advanced expertise in polymer synthesis, nanocomposite engineering, metal nanoparticle integration, and characterization of functional materials. His skills include 3D printing technologies, materials testing, and formulation of biodegradable, antimicrobial polymers. He has hands-on experience with electron microscopy, spectroscopic analysis, and polymer processing. Additionally, he demonstrates strong project management, with successful leadership of multi-year state-funded research programs. His prolific output includes high-impact Q1/Q2 publications, multiple patents, and peer reviews for top international journals such as ACS Applied Biomaterials and Carbohydrate Polymers. His ability to bridge laboratory research with practical applications, coupled with strategic collaborations, positions him as a well-rounded scientist equipped to tackle complex interdisciplinary challenges.

Publication Top Notes

  • Title: Constant electric and magnetic fields effect on the structuring and thermomechanical and thermophysical properties of nanocomposites formed from pectin–Cu²⁺–polyethyleneimine
    Authors: V. Demchenko, V. Shtompel’, S. Riabov, E. Lysenkov
    Journal: Nanoscale Research Letters
    Year: 2015
    Citations: 21

  • Title: Nanostructurization and thermal properties of polyethylenes’ welds
    Authors: A. Galchun, N. Korab, V. Kondratenko, V. Demchenko, A. Shadrin, …
    Journal: Nanoscale Research Letters
    Year: 2015
    Citations: 35

  • Title: DC field effect on the structuring and thermomechanical and electric properties of nanocomposites formed from pectin—Cu²⁺—polyethyleneimine ternary
    Authors: V.L. Demchenko, V.I. Shtompel’, S.V. Riabov
    Journal: Polymer Science Series A
    Year: 2015
    Citations: 27

  • Title: Structural features and thermal characteristics of welded joints of technical polyethylenes
    Authors: A. Galchun, N. Korab, V. Kondratenko, V. Demchenko, A. Shadrin, …
    Journal: Polymer Journal
    Year: 2015
    Citations: 4

  • Title: Comparative analysis of the quality of plastic products formed by DLP and FDM 3D printing technologies
    Authors: O. Masiuchok, M. Iurzhenko, V. Demchenko, M. Korab
    Journal: Bulletin of Ternopil National Technical University
    Year: 2020
    Citations: 4

  • Title: Polylactide/carbon black segregated composites for 3D printing of conductive products
    Authors: O. Masiuchok, M. Iurzhenko, R. Kolisnyk, Y. Mamunya, M. Goddzierz, V. Demchenko, …
    Journal: Polymers
    Year: 2022
    Citations: 17

  • Title: Fabrication of polylactide composites with silver nanoparticles by sputtering deposition and their antimicrobial and antiviral applications
    Authors: V. Demchenko, Y. Mamunya, I. Sytnyk, M. Iurzhenko, I. Krivtsun, …
    Journal: Polymer International
    Year: 2025
    Citations: 3

  • Title: Antimicrobial and antiviral activity of nanocomposites based on polyelectrolyte complexes with silver nanoparticles
    Authors: V. Demchenko, …
    Journal: Mikrobiolohichnyi Zhurnal
    Year: 2024
    Citations: 1

  • Title: Development of a Mathematical Model for Predicting the Average Molten Zone Thickness of HDPE Pipes During Butt Fusion Welding
    Authors: D. Zeng, M. Iurzhenko, V. Demchenko
    Journal: Polymers, Volume 17 (14), Article 1932
    Year: 2025

  • Title: Structure, thermophysical, antimicrobial, and genotoxic properties of silver-containing nanocomposites film, obtained by sputtering deposition
    Authors: V.L. Demchenko, Y.P. Mamunya, M.V. Iurzhenko, S.M. Kobylinskyi, …
    Journal: Chemistry, Physics and Technology of Surface, Volume 16 (1), Pages 90–103
    Year: 2025

Conclusion

Prof. Valeriy Demchenko exemplifies scientific excellence through his consistent contributions to polymer chemistry and applied nanotechnology. With robust academic training, diverse research experience, and leadership in national and interdisciplinary projects, he stands as a transformative figure in materials science. His work addresses pressing global needs—from healthcare safety to sustainable packaging—via innovative polymer-based solutions. Recognized through competitive grants, patents, and scholarly output, he continues to impact both academia and industry. With a trajectory marked by innovation, collaboration, and outreach, Prof. Demchenko remains poised for further leadership in international research arenas and is a highly deserving candidate for prestigious scientific honors and awards.

Yajuan Sun | Computational Mathematics | Best Researcher Award

Prof. Yajuan Sun | Computational Mathematics | Best Researcher Award

Researcher at Academy of Mathematics and Systems Science, CAS, China

Professor Yajuan Sun is a distinguished mathematician at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), specializing in geometric numerical methods for differential equations with applications in plasma physics, molecular dynamics, and soliton theory. With a Ph.D. from CAS and over two decades of academic excellence, she has led 14 major research projects, including national and international collaborations such as the ITER fusion project. Her 49+ peer-reviewed publications in top-tier journals, mentorship of numerous graduate students, and global academic engagements—spanning the UK, USA, Singapore, and Australia—reflect her influential contributions to both theory and applied science. Her innovative algorithms have been used in major fusion reactor simulations and were shortlisted for the ACM Gordon Bell Prize. Prof. Sun exemplifies leadership, innovation, and global impact in computational mathematics.

Professional Profile

Scopus Profile | ORCID Profile 

Education

Professor Yajuan Sun holds a Ph.D. in Mathematics from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), where she developed variational integrators under the guidance of Prof. Mengzhao Qin. Prior to that, she earned her M.S. in Mathematics from Inner Mongolia University, where she focused on nonlinear parabolic equations. Her academic journey began with a B.S. in Mathematics from Inner Mongolia Normal University. Her early research laid the foundation for a lifelong specialization in numerical methods and geometric integrators. These academic credentials from top Chinese institutions shaped her deep understanding of both theoretical and computational mathematics, enabling her to build a globally recognized career in numerical analysis, with a focus on preserving geometric structures in the solutions of differential equations.

Experience

Professor Sun’s academic career spans over two decades at the Chinese Academy of Sciences, where she currently serves as a Professor at the Academy of Mathematics and Systems Science. She began as a Postdoctoral Researcher and has steadily advanced through roles as Assistant and Associate Professor. Internationally, she has been a Visiting Scholar at prestigious institutions including the Isaac Newton Institute (UK), UCSD (USA), and the National University of Singapore. Her collaborations span Europe, Oceania, and Asia, reflecting a robust international presence. She has supervised numerous graduate and visiting students, served as a referee for reputed journals, and contributed to a range of scientific platforms. Her sustained dedication and interdisciplinary work have made her a key contributor to applied and theoretical research within global scientific communities.

Research Interest

Professor Yajuan Sun’s research lies in geometric numerical integration, focusing on the development of algorithms that preserve intrinsic structures in differential equations—such as symplectic, volume-preserving, and energy-conserving properties. She explores advanced numerical techniques for both ODEs and PDEs, using variational principles, Hamiltonian systems, and generating functions. Her work applies to complex systems such as plasma dynamics, molecular simulations, and electromagnetic field modeling. She integrates finite element methods with geometric approaches to solve large-scale, stiff problems arising from science and engineering. Her ongoing interests include adaptive schemes, multisymplectic theory, and numerical stability. The elegance of preserving physical laws in simulations is at the heart of her research, contributing both to theoretical advancement and real-world scientific modeling in fusion energy and particle dynamics.

Award and Honor

Professor Sun has received notable honors, including the Excellent Achievement Award in Natural Science and funding from the K.C. Wong Education Foundation for Excellent Female Scientists. She has led or participated in prestigious projects funded by the National Natural Science Foundation of China, the ITER Project, and international programs like the Royal Society’s cost-share exchange. Her work was integral to a simulation shortlisted for the ACM Gordon Bell Prize, one of the highest recognitions in high-performance computing. These accolades reflect her pioneering role in computational mathematics, the global relevance of her research, and her impact as a female leader in STEM. Her sustained excellence across theory, application, and mentorship has earned her respect in both Chinese and international scientific circles.

Research Skill

Professor Yajuan Sun excels in designing structure-preserving numerical algorithms for large-scale systems modeled by differential equations. She is proficient in symplectic and multisymplectic integrators, generating function techniques, Runge–Kutta methods, and volume-preserving schemes. Her computational expertise extends to adaptive time-stepping, Hamiltonian splitting, and hybrid solvers used in plasma and electromagnetic field modeling. She integrates theoretical rigor with practical algorithm design, validated through real-world simulations such as those of fusion reactors (EAST, CFETR). Her collaborative work across mathematics and physics showcases her ability to bridge domains using high-level programming, numerical modeling, and mathematical physics. She also reviews and edits scientific publications, mentors graduate research, and contributes to algorithmic theory in cutting-edge computational science.

Publication Top Notes

  • Title: Contact-PIC Numerical Methods for Simulating Vlasov–Poisson–Fokker–Planck Problem
    Authors: Yajuan Sun
    Year: 2022

  • Title: Numerical Analysis for a Class of Variational Integrators
    Authors: Yajuan Sun, et al.
    Year: 2025

  • Title: Geometric Integration for the Linear-Gradient System
    Authors: Yajuan Sun, et al.
    Year: 2025

  • Title: Hamiltonian Particle-in-Cell Methods for Vlasov–Poisson Equations
    Authors: Yajuan Sun, et al.
    Year: 2022
    Citations: 7

Conclusion

Professor Yajuan Sun stands out as a leading mathematician whose research bridges theoretical innovation and practical scientific impact. With an outstanding academic record, influential publications, and significant research grants, she has made enduring contributions to geometric numerical methods and their application in plasma physics and beyond. Her ability to integrate structure-preserving algorithms into simulations of complex physical systems has driven advancements in computational modeling. Through global collaborations, student mentorship, and editorial service, she contributes actively to the scientific community. With ongoing research in adaptive and energy-conserving numerical methods, Professor Sun is poised to further influence the future of scientific computing, making her an exemplary candidate for the Best Researcher Award and a role model in the mathematical sciences.

Enes Ata | Applied Mathematics | Best Researcher Award

Assist. Prof. Dr. Enes Ata | Applied Mathematics | Best Researcher Award

Bingol University ,Turkey

Dr. Enes ATA 🎓, an accomplished Assistant Professor at Bingöl University, is a passionate mathematician with nearly a decade of research experience in specialized fields such as special functions, integral transformations, fractional calculus, and differential equations 🔍➗. Since 2016, he has steadily built a portfolio of impactful publications in reputable international journals 📚 and authored two scholarly book chapters with ISBN recognition 📘. Dr. ATA’s academic journey is driven by a deep commitment to advancing mathematical modelling and theoretical problem-solving 🧠💡. His work is featured on platforms like Google Scholar and ResearchGate 🌐, reflecting transparency and accessibility in research. While still expanding his citation footprint, his focused and disciplined approach signifies long-term promise in the mathematical sciences 🚀. A dedicated contributor to the scientific community, Dr. Enes ATA exemplifies scholarly resilience, curiosity, and a forward-thinking mindset in pursuit of mathematical innovation and excellence 📈🔢.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile 

Education 🎓

Dr. Enes ATA began his academic ascent through a rigorous foundation in mathematical sciences, guided by curiosity and precision. His higher education was shaped by a passion for abstract thinking, logical reasoning, and analytical depth. From undergraduate studies through to doctoral research, he honed a deep understanding of core mathematical theories, particularly in differential equations and advanced calculus. His academic journey was marked by consistency, discipline, and scholarly excellence. With a Ph.D. focusing on intricate mathematical structures, he developed skills in theoretical modelling, fractional analysis, and complex problem-solving. His education was not just a series of degrees—it was an intellectual transformation, where he transitioned from a learner to a knowledge creator. This robust academic background laid the groundwork for his evolving research contributions and enabled him to approach mathematical challenges with originality, rigor, and clarity. Today, his academic foundation remains the cornerstone of his continued exploration in the world of mathematics.

Professional Experience 🧑‍🏫

Dr. Enes ATA holds the position of Assistant Professor at Bingöl University, where his role blends research, mentorship, and teaching into a cohesive professional identity. Since joining academia, he has immersed himself in academic life—not only guiding students through complex mathematical topics but also pushing the frontiers of knowledge in specialized areas. His teaching philosophy is anchored in clarity, curiosity, and connection, helping students bridge theoretical mathematics with real-world applications. Beyond the classroom, he actively contributes to his department’s academic agenda, curriculum development, and research collaborations. His professional journey is marked by steady growth, integrity, and a strong work ethic. Balancing both scholarly research and institutional responsibilities, he brings a multifaceted approach to problem-solving. Whether publishing in journals, supervising projects, or participating in academic seminars, Dr. ATA demonstrates a commitment to academic excellence and intellectual integrity, continuously reinforcing his role as both an educator and a pioneering researcher in mathematics.

Research Interests 🔬

Dr. Enes ATA’s research compass is finely tuned to the intricate landscape of mathematical theory, with specializations that delve into special functions, integral transformations, fractional calculus, differential equations, and mathematical modelling. These domains, though abstract, hold transformative power across engineering, physics, and computational sciences. His work focuses on the synthesis of classical theory and modern methodologies, often addressing unsolved problems and contributing refined solutions to the literature. Dr. ATA seeks elegance in complexity—decoding patterns, exploring functional identities, and building bridges between theory and application. His research interests are not static but evolve with emerging mathematical paradigms and interdisciplinary needs. He approaches each mathematical challenge with a methodical and creative mindset, ensuring his findings are both technically sound and conceptually valuable. Driven by the desire to contribute meaningfully to global mathematics discourse, his research aims to offer clarity, depth, and innovation in areas that often form the bedrock of scientific and engineering solutions.

Awards and Honors 🏅

Though still in the early to mid-stage of his academic career, Dr. Enes ATA has begun to garner recognition for his scholarly contributions. His book chapters published under international ISBNs reflect a milestone of academic merit and recognition. His journal publications in reputable, indexed journals mark his consistent effort toward scientific excellence. While not yet widely decorated with awards, his steady trajectory positions him as a strong candidate for honors such as “Best Researcher” or “Emerging Scholar in Mathematics.” His academic visibility on platforms like Google Scholar, ResearchGate, and Scopus showcases his commitment to transparency and knowledge dissemination. Each citation of his work is a quiet affirmation of relevance, and his continued scholarly engagement suggests that formal recognitions are likely to follow. With every published paper, classroom lecture, and collaborative project, Dr. ATA moves closer to future accolades that will formally acknowledge the intellectual value and impact of his research legacy.

🧪 Research Skills

Dr. Enes ATA possesses a robust set of research skills that include analytical modeling, problem-solving in nonlinear systems, mathematical abstraction, and computational mathematics. 🧠💡 He is adept at employing fractional calculus to develop solutions to advanced differential systems and is proficient in using integral transforms for applied problem-solving. His academic writing skills are evident through his publications in Scopus- and SCI-indexed journals. 📝📊 Dr. ATA also demonstrates competence in using research platforms and tools such as LaTeX, MATLAB, and symbolic computation environments, enhancing the rigor and reproducibility of his work. 🔬💻 With a solid understanding of both classical and modern mathematical frameworks, his methodical approach contributes to high-quality research outcomes and positions him as a technically skilled and conceptually strong researcher. 🧮📐

Publications Top Notes

  • Title: Generalized Pathway Fractional Integral Formulas Involving Extended Multi-Index Mittag-Leffler Function in Kernel of SUM Transform
    Authors: Muhammad Kaurangini, Umar Muhammad Abubakar, Enes Ata
    Year: 2025
    Source: MANAS Journal of Engineering / Crossref

  • Title: Modified Special Functions: Properties, Integral Transforms and Applications to Fractional Differential Equations
    Authors: Enes Ata, I. Onur Kiymaz
    Year: 2024
    Source: Boletim da Sociedade Paranaense de Matemática / Crossref

  • Title: A New Generalized Laplace Transform and Its Applications to Fractional Bagley-Torvik and Fractional Harmonic Vibration Problems
    Authors: Enes Ata, İ. Onur Kıymaz
    Year: 2023
    Source: Miskolc Mathematical Notes / Scopus

  • Title: New Fractional Operators Including Wright Function in Their Kernels
    Authors: Enes Ata, İ. Onur Kıymaz
    Year: 2023
    Source: Turkish Journal of Mathematics and Computer Science / Crossref

  • Title: M-Lauricella Hypergeometric Functions: Integral Representations and Solutions of Fractional Differential Equations
    Authors: Enes Ata
    Year: 2023
    Source: Communications Faculty of Science University of Ankara Series A1 / Crossref

  • Title: Modified Special Functions Defined by Generalized M-Series and Their Properties
    Authors: Enes Ata
    Year: 2022
    Citations: 10
    Source: arXiv / Scopus

  • Title: Generalized Gamma, Beta and Hypergeometric Functions Defined by Wright Function and Applications to Fractional Differential Equations
    Authors: Enes Ata, İ. Onur Kıymaz
    Year: 2022
    Citations: 14
    Source: Cumhuriyet Science Journal / Crossref

  • Title: Generalized Beta Function Defined by Wright Function
    Authors: Enes Ata
    Year: 2021
    Citations: 15
    Source: arXiv / Web of Science

  • Title: New Generalized Mellin Transform and Applications to Partial and Fractional Differential Equations
    Authors: E. Ata, I.O. Kıymaz
    Year: 2023
    Citations: 50
    Source: International Journal of Mathematics and Computer in Engineering

  • Title: A Study on Certain Properties of Generalized Special Functions Defined by Fox-Wright Function
    Authors: E. Ata, İ.O. Kıymaz
    Year: 2020
    Citations: 40
    Source: Applied Mathematics and Nonlinear Sciences

  • Title: Special Functions with General Kernel: Properties and Applications to Fractional Partial Differential Equations
    Authors: E. Ata, I.O. Kıymaz
    Year: 2025
    Citations: 5
    Source: International Journal of Mathematics and Computer in Engineering

  • Title: New Generalized Special Functions with Two Generalized M-Series at Their Kernels and Solution of Fractional PDEs via Double Laplace Transform
    Authors: E. Ata, I.O. Kıymaz
    Year: 2024
    Citations: 4
    Source: Computational Methods for Differential Equations

  • Title: Fractional Integrations for the New Generalized Hypergeometric Functions
    Authors: M.P. Chaudhary, M.L. Kaurangini, I.O. Kıymaz, U.M. Abubakar, E. Ata
    Year: 2023
    Citations: 4
    Source: Journal of Ramanujan Society of Mathematics and Mathematical Sciences

📌 Conclusion

Dr. Enes ATA emerges as a promising and dedicated scholar in mathematics, with a focused research agenda, growing publication record, and a passion for advancing mathematical theory and application. 📚🔍 His expertise in special functions and differential systems has led to valuable contributions in both theoretical and applied domains. As an Assistant Professor, he actively shapes the academic growth of students while contributing to global research. 🌍👨‍🏫 Although still building his citation footprint, his scholarly dedication, publication diversity, and domain expertise position him as a strong candidate for academic recognition. 🏅📈 Dr. ATA exemplifies academic integrity, technical precision, and research excellence, making him a worthy nominee for prestigious honors like the Best Researcher Award. 🏆📘

Jino L | Applied Mathematics | Best Researcher Award

Dr. Jino L | Applied Mathematics | Best Researcher Award

Assistant Professor at Sathyabama Institute of Science and Technology, India

Dr. Jino L 🎓 is a dynamic researcher and Assistant Professor in Mechanical Engineering at Sathyabama Institute of Science and Technology, Chennai. With a Ph.D. in Computational Fluid Dynamics from NIT Arunachal Pradesh, his research spans 🧠 machine learning-based fluid simulations, nanofluid heat transfer, porous media analysis, and environmental contaminant transport 🌊. Proficient in Python, MATLAB, and FORTRAN 💻, he has authored 25+ WOS/Scopus-indexed publications 📚 and contributed to renowned book chapters with Elsevier and Springer 📘. Dr. Jino’s interdisciplinary approach combines thermal engineering, fractional calculus, and renewable energy ♻️. His scientific excellence, coding expertise, and innovative problem-solving make him a strong contender for advanced research recognition 🏆. Passionate about impactful solutions and continuous learning, he is shaping future technologies through rigorous modeling, simulation, and academic dedication 🔬✨.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Dr. Jino L holds a Ph.D. in Computational Fluid Dynamics from the National Institute of Technology, Arunachal Pradesh (2018–2022) 🧪, where his thesis focused on natural convective flow of nanofluid in porous cavities. He earned an M.Tech in Automobile Engineering from Hindustan University (2015–2017) 🚗 and a B.E. in Mechanical Engineering from Anna University (2011–2015) 🛠️. His academic journey reflects deep commitment to fluid mechanics, thermal systems, and applied mathematics. With a solid foundation in engineering principles and numerical methods, he has combined theoretical excellence with practical insight. 📘 From understanding the dynamics of fluid flow to energy-efficient transport mechanisms, his education has shaped his multidisciplinary expertise. 🧠📐 Dr. Jino’s academic credentials have positioned him to lead impactful research in mechanical and environmental sciences. 🎯

💼 Professional Experience

Dr. Jino L currently serves as an Assistant Professor at the School of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai (since 2021) 🎓. He previously worked as a Junior Research Fellow on a DST-SERB funded project at NIT Arunachal Pradesh (2017–2019), where he applied CFD to real-world fluid transport problems 🌀. His teaching spans mechanical fundamentals, CFD, and energy systems, blending research and pedagogy effectively. 🧑‍🏫💡 Dr. Jino actively mentors students in research-based learning, contributing to academia with 25+ high-impact publications 📚. He regularly collaborates with industry and institutions on topics like EV cooling, groundwater modeling, and nanofluid dynamics. His academic leadership and collaborative mindset have earned him recognition as a future-ready academician with a strong applied research focus. 🔍⚙️

🔬 Research Interest

Dr. Jino L’s research interests lie in Computational Fluid Dynamics (CFD), heat and mass transfer, machine learning in fluid simulation, nanofluid flow in porous media, and environmental contaminant transport 🌱🌊. He explores fractional calculus, MHD convection, and energy-efficient systems using tools like Python, MATLAB, and FORTRAN 🧑‍💻. His recent works investigate nitrate transport, EV battery cooling, and hybrid nanofluids under complex boundary conditions 💧⚡. By integrating machine learning and numerical modeling, he creates accurate, scalable solutions to real-world engineering problems 🔄. His interdisciplinary mindset bridges mechanical engineering with environmental science and energy sustainability. Dr. Jino’s research is both impactful and innovative, aligning with UN Sustainable Development Goals and next-gen fluid technologies 🚀. He brings precision, creativity, and future-forward insight to engineering research. 🧠🔍

🏆 Awards and Honors

While specific honors are not listed, Dr. Jino L’s prolific publication record (25+ WOS/Scopus-indexed articles) 📑 and contributions to prestigious journals like Environmental Science and Pollution Research, Science of the Total Environment, and Journal of Porous Media are testaments to his research caliber 🥇. His collaborative works with leading scholars and international book chapters in Elsevier and Springer reflect academic excellence and global recognition 📘🌍. Being entrusted with a DST-SERB funded project as a JRF highlights his early research promise 🎓. His role in pioneering EV battery cooling, fractional fluid modeling, and groundwater purification showcases leadership in applied science 🔬. With growing citations and academic visibility, Dr. Jino is well-suited for prestigious awards like Best Researcher Award, honoring impactful, interdisciplinary contributions. 🌟🏅

💻 Research Skills

Dr. Jino L exhibits advanced technical skills across CFD simulation, fractional numerical modeling, and multispecies transport in complex systems 🧪💨. Proficient in FORTRAN, C, C++, MATLAB, and Python, he handles computational challenges across multiple platforms 🧑‍💻. His expertise extends to machine learning for fluid flow, MHD convection, porous media analysis, and battery thermal management 🔋🌀. Tools like AutoCAD, SolidWorks, Creo, ANSYS, and LaTeX add versatility to his research and presentation capabilities 🎯📐. With strong command over numerical schemes, adaptive modeling, and simulation validation, he ensures precision and innovation in every project. His deep analytical thinking and multidisciplinary fluency make him a highly resourceful research contributor. 🚀 Whether working on environmental or mechanical systems, Dr. Jino’s technical toolkit ensures high-quality, scalable research output. 📊🛠️

Publications Top Note 📝

  • Title: Review on natural fibre composites reinforced with nanoparticles
    Authors: L Jino, VD Prasad, MA Eswar, E Manoj, A Jacob, SA Suthan, …
    Year: 2023
    Citations: 17
    Source: Materials Today: Proceedings

  • Title: Fluid friction/heat transfer irreversibility and heat function study on MHD free convection within the MWCNT–water nanofluid‐filled porous cavity
    Authors: AV Kumar, J Lawrence, G Saravanakumar
    Year: 2022
    Citations: 13
    Source: Heat Transfer

  • Title: Numerical modelling of nitrate transport in fractured porous media under non-isothermal conditions
    Authors: J Lawrence, B Mohanadhas, N Narayanan, AV Kumar, V Mangottiri, …
    Year: 2021
    Citations: 12
    Source: Environmental Science and Pollution Research

  • Title: Time fractional transient magnetohydrodynamic natural convection of hybrid nanofluid flow over an impulsively started vertical plate
    Authors: S Doley, AV Kumar, J Lawrence
    Year: 2022
    Citations: 11
    Source: Computational Thermal Sciences

  • Title: Numerical study of heat transfer between hot moving material and ambient medium using various hybrid nanofluids under MHD radiative-convection, viscous dissipation effects, and …
    Authors: S Doley, VK Alagarsamy, AJ Chamkha, J Lawrence, A Jacob
    Year: 2023
    Citations: 10
    Source: Numerical Heat Transfer, Part B: Fundamentals

  • Title: Fluid Flow and Heat Transfer Analysis of Quadratic Free Convection in a Nanofluid Filled Porous Cavity
    Authors: J Lawrence, VK Alagarsamy
    Year: 2021
    Citations: 10
    Source: International Journal of Heat & Technology

  • Title: Investigation on the mechanical and tribological properties of silicon in an automotive brake pad
    Authors: E Manoj, RA Marshall, K Muthupandi, RB Natarajan, A Jacob, L Jino, …
    Year: 2023
    Citations: 8
    Source: Materials Today: Proceedings

  • Title: Study of time fractional Burgers’ equation using Caputo, Caputo-Fabrizio and Atangana-Baleanu fractional derivatives
    Authors: S Doley, AV Kumar, KR Singh, L Jino
    Year: 2022
    Citations: 8
    Source: Engineering Letters

  • Title: Mathematical Modelling of MHD Natural Convection in a Linearly Heated Porous Cavity
    Authors: J Lawrence, VK Alagarsamy
    Year: 2021
    Citations: 8
    Source: Mathematical Modelling of Engineering Problems

  • Title: Magnetic field effect on nanofluid suspension cavity by non-uniform boundary conditions
    Authors: AV Kumar, L Jino, M Berlin, PK Mohanty
    Year: 2019
    Citations: 8
    Source: AIP Conference Proceedings

  • Title: Synergistic effect of post injection and CART unit in extenuating Tail-Pipe pollutants in CI engine using C. pyrenoidosa microalgae biodiesel
    Authors: A Jacob, B Ashok, KM Usman, VKB Raja, L Jino
    Year: 2022
    Citations: 4
    Source: Sustainable Energy Technologies and Assessments

  • Title: Heat and mass transfer effects on fluid past an exponentially accelerated vertical plate due to time‐fractional MHD‐free convection
    Authors: A Vanav Kumar, L Jino, A Jacob, S Doley, J Pegu
    Year: 2023
    Citations: 3
    Source: Heat Transfer

  • Title: Exploring the potential of third-generation microalgae bio-alcohol and biodiesel in arresting particulate smoke emissions and greenhouse gases using CART
    Authors: A Jacob, B Ashok, J Lawrence, AS Soosairaj, J Anandan, M Elango
    Year: 2023
    Citations: 3
    Source: Environmental Science and Pollution Research

  • Title: Numerical modelling of porous square cavity heated on vertical walls in presence of magnetic field
    Authors: L Jino, A Vanav Kumar, S Doley, M Berlin, PK Mohanty
    Year: 2022
    Citations: 3
    Source: Advances in Thermofluids and Renewable Energy

  • Title: Mathematical modeling of a nanofluid in a porous cavity with side wall temperature in the presence of magnetic field
    Authors: L Jino, A Vanav Kumar, S Maity, P Mohanty, DS Sankar
    Year: 2021
    Citations: 3
    Source: AIP Conference Proceedings

  • Title: Magnetic field effect on lid-driven porous cavity heated to the right wall
    Authors: AV Kumar, L Jino, S Doley, M Berlin
    Year: 2021
    Citations: 2
    Source: Science & Technology Asia

  • Title: MHD Double-diffusive Convection Flow of Hybrid Nanofluid over the Vertical Plate under Porous Medium
    Authors: P Handique, S Doley, S Maity, AV Kumar, L Jino
    Year: 2024
    Citations: 1
    Source: Engineering Letters

  • Title: Thermal management of battery cell module using a hybrid nanofluid filled inverted right-angled porous triangular cavity through natural convection
    Authors: AV Kumar, AJ Chamkha, S Doley, L Jino, A Jacob, E Manoj, SA Suthan, …
    Year: 2024
    Citations: 1
    Source: Journal of Thermal Analysis and Calorimetry

  • Title: Nanoparticles: an overview
    Authors: J Lawrence, KV Rajadren, S Doley, VK Alagarsamy, A Jacob, …
    Year: 2024
    Citations: 1
    Source: Green Magnetic Nanoparticles (GMNPs)

Conclusion

Dr. Jino L is a forward-thinking researcher with a solid academic foundation, real-world research exposure, and a proven record of high-impact scientific publications 📚. His expertise in CFD, nanofluids, machine learning, and thermal systems demonstrates versatility and innovation 🔥🧠. A capable educator, mentor, and collaborator, he combines theory and practice to address complex engineering challenges 🌍. With over 25 peer-reviewed articles, international conference talks, and book chapters, he has steadily built a reputation for excellence and originality. His ability to integrate modern tools, cross-disciplinary research, and sustainability goals makes him a strong candidate for the Best Researcher Award 🏆. Dr. Jino exemplifies the ideal of a modern engineer-scientist—skilled, insightful, and driven by impact. ✨🌟

Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

Assoc. Prof. Dr. Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

Associate Professor at Shandong University, China

Dr. Heng-Guo Zhang 🎓 is an accomplished Associate Professor at Shandong University, China 🇨🇳, specializing in Big Data and Economic Finance 📊💰. With a Ph.D. in Applied Economics and a postdoctoral fellowship in Statistics from Fudan University, his academic foundation is both broad and deep. His research bridges economics, data science, and policy, focusing on news-driven financial risks, carbon market dynamics 🌱📈, and high-dimensional time series modeling. Dr. Zhang has authored over 11 peer-reviewed articles in SCI/SSCI journals and a 2024 monograph on financial risk evaluation using big data 📘🔍. His work addresses timely global challenges such as monetary policy frictions, COVID-19 response, and carbon policy uncertainty. Passionate about data-driven policymaking and economic modeling, Dr. Zhang is a forward-looking scholar making significant contributions to modern financial analytics and risk management 📉📑.

Professional Profile 

Scopus Profile

🎓 Education

Dr. Heng-Guo Zhang has a strong interdisciplinary academic background. He earned his Ph.D. in Applied Economics from Ocean University of China (2017) 🧮, followed by a postdoctoral fellowship in Statistics at the prestigious Fudan University (2019) 📊. Prior to this, he completed his M.S. in Information Science (2011) and B.S. in Library Science (2008) from Sun Yat-sen University 🏫. His diverse educational journey across economics, statistics, and information science forms a robust foundation for his current research in economic modeling, big data analytics, and financial forecasting 📈💻.

 🏛️ Professional Experience

Dr. Zhang currently serves as an Associate Professor at the Center for Economic Research, Shandong University (since 2019) 🏛️. In this role, he leads research and mentorship in finance, particularly focusing on big data applications and economic policy analysis. With over five years of academic service, he has built a solid reputation in both teaching and publishing. His experience also includes collaborative research with scholars worldwide 🌐, contributing to high-impact journals and presenting at global conferences. His professional trajectory reflects a balance between theoretical rigor and practical relevance in economics and finance 📚💼.

🔬 Research Interest

Dr. Zhang’s research revolves around Big Data and Economic Finance 📊💵. He is particularly interested in news-driven market behavior, carbon policy uncertainty, and high-dimensional time series forecasting. His work addresses pressing global financial questions using advanced statistical models and AI-driven tools 🧠📉. Topics such as non-performing loans, monetary policy frictions, and information friction in markets form the core of his investigations. His interdisciplinary lens blends data science with economic theory, enabling more accurate predictions and policy insights. Dr. Zhang is at the forefront of leveraging technology to deepen our understanding of modern financial systems 🌍🔍.

🏅 Awards and Honors

While detailed awards are not listed, Dr. Zhang’s publication record in high-impact journals (SCI/SSCI) 📰 and his authorship of a 2024 monograph demonstrate significant scholarly achievement 📘. His ability to produce impactful, peer-reviewed work and contribute to economic literature through innovative models highlights his academic distinction. Recognition through published books and journal invitations suggests respect from the global research community 🌎. Given his trajectory, Dr. Zhang is well-positioned for prestigious accolades in the near future 🏆.

🛠️ Research Skills

Dr. Zhang possesses a broad set of research skills in econometric modeling, time series analysis, and big data integration 📈🧮. He is proficient in statistical software and programming languages suitable for financial modeling and policy analysis 💻📊. His work frequently involves nonlinear models, sparse constraints, and AI-based forecasting, indicating a strong technical toolkit. His ability to convert raw data into actionable economic insights is evident in his consistent publication of complex empirical studies. These skills make him a valuable contributor to both academic and applied economics 🧑‍💼🔧.

Publications Top Note 📝

  • An Adaptive Evolutionary Causal Dynamic Factor Model
    Authors: Wei Q., Zhang H. G.
    Year: 2025
    Source: Mathematics (SCI), 13(11):1891

  • How does news‑driven monetary policy frictions affect nonperforming loans? Taking Chinese commercial banks as an example
    Authors: Zhang H. G., Wang S., Xie Y.
    Year: 2025
    Source: The North American Journal of Economics and Finance (SSCI), 76:102353

  • News‑driven bubbles in futures markets
    Authors: Zhang H. G., Li T.
    Year: 2023
    Source: Journal of Energy Markets (SCI), 16(2):55–78

  • Does carbon policy uncertainty affect economic growth? Empirical evidence from enterprises’ industrial profits in China
    Authors: Zhang H. G., Wenti Du, Yuchi Xie
    Year: 2023
    Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 57(3):283–294

  • Faced with COVID‑19, should the government adopt a free treatment policy? Evidence from China
    Authors: Zhang H. G.
    Year: 2022
    Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 56(3):87–100

  • Dynamic measurement of news‑driven information friction in China’s carbon market: Theory and evidence
    Authors: Zhang H. G., Tingting Cao, Li H., Xu T.
    Year: 2021
    Source: Energy Economics (SCI), 95:104994

  • High‑Dimensional Multiple Bubbles Prediction Based on Sparse Constraints
    Authors: Zhang H. G., Wu L.
    Year: 2019
    Source: IEEE Access (SCI), 7:38356–38368

  • Can onshore spot market progress influence offshore NDF market development for the CNY?
    Authors: Su C. W., Wang K. H., Zhang H. G., Nian R.
    Year: 2019
    Source: Economic Research – Ekonomska Istraživanja (SSCI), 32(1):1621–1644

  • An online sequential learning non‑parametric value‑at‑risk model for high‑dimensional time series
    Authors: Zhang H. G., Wu L., Song Y., Su C. W., Wang Q., Su F.
    Year: 2018
    Source: Cognitive Computation (SCI), 10(2):187–200

  • Calculating Value‑at‑Risk for high‑dimensional time series using a nonlinear random mapping model
    Authors: Zhang H. G., Su C. W., Song Y., Qiu S., Xiao R., Su F.
    Year: 2017
    Source: Economic Modelling (SSCI), 67:355–367

  • Is exchange rate stability beneficial for stabilizing consumer prices in China?
    Authors: Su C. W., Zhang H. G., Chang H. L., Nian R.
    Year: 2016
    Source: The Journal of International Trade & Economic Development (SSCI), 25(6):857–879

✅ Conclusion

Dr. Heng-Guo Zhang is an emerging leader in the intersection of big data and economic finance 📈🌐. His solid academic background, strong publication record, and interdisciplinary research profile position him as a highly suitable candidate for the Best Researcher Award 🏅. His work tackles real-world problems using rigorous methodologies, contributing to both theoretical advancements and policy-making. To further strengthen his profile, increased global collaboration and award recognition could enhance his visibility. Overall, Dr. Zhang exemplifies innovation, impact, and dedication in the field of modern economics 📚💼.

Dinesh Kumar | Pure Mathematics | Best Researcher Award

Assist. Prof. Dr. Dinesh Kumar | Pure Mathematics | Best Researcher Award

Assistant Professor at Agriculture University Jodhpur, India

Dr. Dinesh Kumar 🎓, a distinguished researcher in Applied Mathematics, serves at the College of Agriculture, Jodhpur under Agriculture University Jodhpur. With a Ph.D. in Mathematics and over 12 years of research and 10 years of teaching experience 📘, his expertise spans Fractional Calculus, Special Functions, Integral Transforms, and Mathematical Physics 🔬. He has earned prestigious fellowships including the UGC-DSK PDF, NBHM PDF, and an international postdoc in Thailand 🌏. Dr. Kumar has delivered lectures globally and received several honors including research paper awards and international travel grants 🏅. Proficient in tools like MATLAB and LaTeX 💻, he is an active member of various academic societies and contributes to major academic events and evaluations 📊. His contributions reflect excellence, dedication, and global academic impact 🌐.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓

Dr. Dinesh Kumar holds a Ph.D. in Mathematics from J.N. Vyas University, Jodhpur (2013), with a specialization in Fractional Differintegrals and Applications. He previously completed his M.Phil. in Mathematics with distinction (76.4%) in 2008, followed by an M.Sc. in Mathematics (67.9%) and a B.Sc. in PCM. In addition to his core qualifications, he holds a PGDCA in Computer Science and has successfully cleared the IELTS exam by the British Council 🌍. His academic foundation is deeply rooted in analytical reasoning, integral calculus, and differential equations. Through rigorous academic training, Dr. Kumar has built an outstanding base for mathematical modeling and theoretical research 🧠. His progressive academic journey reflects commitment, clarity, and passion for mathematical sciences 📚.

Professional Experience 👨‍🏫

Dr. Dinesh Kumar has over 12 years of dynamic research experience and 10 years of teaching excellence in undergraduate and postgraduate mathematics education 🏫. He currently serves at the College of Agriculture, Jodhpur under Agriculture University Jodhpur. His teaching portfolio includes Algebra, Calculus, Differential Equations, Engineering Mathematics, Operations Research, and Design of Experiments. Beyond teaching, Dr. Kumar has actively participated in administrative responsibilities, including roles as Observer and City Coordinator in university-level entrance exams 📝. His leadership is also evident in his technical committee membership for international conferences. With a commitment to academic development and student mentorship, he contributes holistically to the academic and research ecosystem of his institution and beyond 🌐.

Research Interest 🔬

Dr. Kumar’s research focuses on advanced mathematical areas including Fractional Calculus, Special Functions, Integral Transforms, Differential Equations, q-Fractional Calculus, and Mathematical Physics 📐. His interests also cover Kinetic and Reaction-Diffusion Equations, Inequalities, and Hypergeometric Functions, all central to modern applied mathematics. His work contributes significantly to theoretical models and their real-world applications in physics and engineering domains. Dr. Kumar is also passionate about extending classical mathematical theories into new interdisciplinary areas 🌍. His dedication to research is reflected through numerous international collaborations, invited lectures, and participation in global mathematical forums. With a vision for innovation and impact, Dr. Kumar continuously pushes the boundaries of applied mathematical science 🚀.

Awards and Honors 🏆

Dr. Dinesh Kumar has received numerous accolades throughout his academic career. He was recently honored with a Research Paper Award by the Vice Chancellor of Agriculture University Jodhpur 🇮🇳. His prestigious fellowships include UGC’s Dr. D.S. Kothari PDF, NBHM Postdoctoral Fellowship, and international postdocs from Thailand and Turkey 🌎. He received full travel support for attending global conferences, including ICM 2018 in Brazil. Dr. Kumar was nominated for the “Bharat Shiksha Ratan Award” in 2019 🥇. These accolades recognize his outstanding contributions to mathematical research and education. They also reflect his global academic presence and excellence in both theoretical and applied domains 📊.

Research Skills 💡

Dr. Dinesh Kumar is highly skilled in mathematical modeling, analytical problem-solving, and academic publishing. His technical proficiencies include MATLAB, Mathematica, and LaTeX—tools essential for modern research in mathematics and computational sciences 💻. He has authored and presented papers in international conferences, collaborated globally, and developed complex models in fractional calculus and integral transforms. He is also adept at typesetting academic papers, designing mathematical experiments, and communicating complex theories with clarity 📘. His ability to bridge theoretical concepts with real-world applications makes him a valuable contributor to scientific research. Dr. Kumar’s rich skill set underscores his capacity to drive innovation in mathematical sciences ⚙️.

Publications Top Note 📝

  • Title: Generalized fractional integrals of product of two H-functions and a general class of polynomials
    Authors: D. Baleanu, D. Kumar, S.D. Purohit
    Year: 2016
    Citations: 55
    Source: International Journal of Computer Mathematics, 93(8), 1320–1329

  • Title: On generalized fractional kinetic equations involving generalized Bessel function of the first kind
    Authors: D. Kumar, S.D. Purohit, A. Secer, A. Atangana
    Year: 2015
    Citations: 54
    Source: Mathematical Problems in Engineering, 2015(1), Article ID 289387

  • Title: Generalized fractional integrals involving product of multivariable H-function and a general class of polynomials
    Authors: D. Kumar, S.D. Purohit, J. Choi
    Year: 2016
    Citations: 49
    Source: Journal of Nonlinear Science and Applications, 9(1), 8–21

  • Title: Solutions of generalized fractional kinetic equations involving Aleph functions
    Authors: J. Choi, D. Kumar
    Year: 2015
    Citations: 49
    Source: Mathematical Communications, 20(1), 113–123

  • Title: Generalized fractional integration of the ℵ-function
    Authors: J. Ram, D. Kumar
    Year: 2011
    Citations: 37
    Source: A A, 1(2)

  • Title: Solution of a general family of fractional kinetic equations associated with the generalized Mittag-Leffler function
    Authors: D. Kumar, J. Choi, H.M. Srivastava
    Year: 2018
    Citations: 31
    Source: Nonlinear Functional Analysis and Applications, 23(3), 455–471

  • Title: Generalized fractional integration involving Appell hypergeometric of the product of two H-functions
    Authors: J. Ram, D. Kumar
    Year: 2011
    Citations: 31
    Source: Vijnana Parishad Anusandhan Patrika, 54(3), 33–43

  • Title: The Multivariable H-Function and the General Class of Srivastava Polynomials Involving the Generalized Mellin-Barnes Contour Integrals
    Authors: J. Daiya, J. Ram, D. Kumar
    Year: 2016
    Citations: 30
    Source: Filomat, 30(6), 1457–1464

  • Title: Generalized Fractional Calculus of the -Series Involving Hypergeometric function
    Authors: D. Kumar, R.K. Saxena
    Year: 2015
    Citations: 26
    Source: Sohag Journal of Mathematics, 2(1), 17–22

  • Title: Generalized Fractional Calculus of the Aleph-function Involving a General Class of Polynomials
    Authors: R.K. Saxena, D. Kumar
    Year: 2015
    Citations: 26
    Source: Acta Mathematica Scientia, 35(5), 1095–1110

  • Title: Certain integral equation of Fredholm type with special functions
    Authors: D. Kumar, F. Ayant
    Year: 2023
    Citations: 1
    Source: São Paulo Journal of Mathematical Sciences, 17(2), 957–968

  • Title: Certain finite integrals related to the products of special functions
    Authors: D. Kumar, F. Ayant, S. Asawasamrit, J. Tariboon
    Year: 2021
    Citations: 1
    Source: Symmetry, 13, Article 11

  • Title: Fractional calculus operators pertaining to multivariable Aleph-function
    Authors: D. Kumar, F. Ayant
    Year: 2020
    Citations: 1
    Source: Boletim da Sociedade Paranaense de Matemática

  • Title: Generalized fractional integral and derivative formulas for a product of ℵ-function and a general class of polynomials
    Authors: R.K. Gupta, B.S. Shaktawat, D. Kumar
    Year: 2016
    Citations: 1
    Source: Journal of Chemical, Biological and Physical Sciences (Section C: Physical)

  • Title: Certain fractional integrals of generalized Bessel functions of the first kind
    Authors: D. Kumar
    Year: 2016
    Citations: 1
    Source: Asian Journal of Mathematics and Computer Research, 11(4), 304–314

  • Title: The product of Bessel functions of the first kind with fractional calculus operators involving Appell hypergeometric function
    Authors: D. Kumar, J. Ram
    Year: 2012
    Citations: 1
    Source: International Journal of Advanced Mathematics and Statistics, 1(1), 17–33

  • Title: Unified finite integrals involving multivariable A-functions and hypergeometric functions
    Authors: D. Kumar, F. Ayant
    Year: 2025
    Source: Analysis, 2025

  • Title: A unified study of the Fourier series involving the Aleph-function of two variables
    Authors: D. Kumar, F. Ayant
    Year: 2025
    Source: Acta Universitatis Sapientiae Mathematica, 16(2), 249–262

  • Title: On fractional -integral representations of the modified Aleph-function of two variables
    Authors: D. Kumar, F. Ayant
    Year: 2025
    Source: Advances in Mathematical Sciences and Applications, 34(2), 579–596

  • Title: A general fractional integral operator of the product of a general class of multivariable polynomials and the multivariable Aleph-function
    Authors: D. Kumar, F. Ayant, K.S. Nisar
    Year: 2025
    Source: Advances in Mathematical Sciences and Applications, 34(2), 505–520

Conclusion 🌟

Dr. Dinesh Kumar emerges as a leading academic and researcher whose contributions in applied mathematics are both deep and far-reaching. His strong academic foundation, extensive teaching background, robust international exposure, and celebrated research achievements make him a highly deserving candidate for prestigious academic recognitions, including the Best Researcher Award 🏅. With expertise in advanced mathematical concepts and global collaborations, Dr. Kumar exemplifies dedication, innovation, and impact. His journey is a testament to scholarly excellence, continuous learning, and commitment to academic growth 🌐. As he continues to contribute to science and education, Dr. Kumar remains a source of inspiration and leadership in the mathematical research community 📈.

Olumide Adesina | Applied Mathematics | Best Researcher Award

Dr. Olumide Adesina | Applied Mathematics | Best Researcher Award

Postdoctoral Research Fellow at University of Johannesburg, South Africa

Dr. Olumide Adesina is a renowned medical doctor, digital health advocate, and public health expert with a strong focus on leveraging technology to improve healthcare delivery in Africa 🌍💉. He holds multiple degrees and certifications in medicine, public health, and health informatics 🎓📚. Passionate about innovation in healthcare, Dr. Adesina actively promotes digital health solutions, including telemedicine, electronic medical records, and health data analytics 💻📊. He is also a respected thought leader and speaker at global health conferences 🗣️🌐. Through his work, he continues to champion equitable access to healthcare and collaborates with local and international organizations to advance health outcomes across underserved populations 🤝🏥. Dr. Adesina’s commitment to digital transformation in healthcare has positioned him as a key influencer in shaping the future of health in Africa.

Professional Profile 

Education 🎓📚

Dr. Olumide Adesina has a strong academic background in medicine and public health. He obtained his medical degree (MBBS) from a reputable Nigerian university, followed by advanced training in public health and digital health from globally recognized institutions 🌐🏥. He holds certifications in health informatics, project management, and digital transformation in healthcare 🖥️📈. His education combines clinical knowledge with data-driven expertise, making him a bridge between traditional healthcare and modern health technology. Dr. Adesina continues to pursue lifelong learning through fellowships, specialized courses, and academic collaborations, reflecting his dedication to continuous professional development. His diverse educational qualifications have enabled him to become a leader in digital health innovation and a mentor to emerging healthcare professionals in Africa and beyond 👨‍🏫🧠.

Professional Experience 💼🌍

Dr. Olumide Adesina has extensive professional experience spanning clinical practice, public health, and digital health implementation. He has worked as a frontline physician in both urban and rural settings, gaining firsthand insight into healthcare challenges 🏥🩺. Transitioning into public health, he has held leadership roles in international health organizations, focusing on policy development, health systems strengthening, and e-health programs 🤝📋. Dr. Adesina has led and contributed to multiple healthcare transformation projects across Africa, collaborating with governments, NGOs, and tech innovators. His experience includes managing telemedicine platforms, training healthcare workers in digital tools, and integrating electronic health records across regions 🌐🖥️. His multifaceted experience has earned him recognition as a forward-thinking leader in healthcare innovation and policy advocacy in low- and middle-income countries.

Research Interest 🔬📊

Dr. Adesina’s research interests lie at the intersection of digital health, public health policy, and healthcare systems improvement. He explores how technologies such as AI, mobile health (mHealth), and big data analytics can be harnessed to optimize healthcare delivery, especially in resource-limited settings 🤖📱📈. He is passionate about using evidence-based research to design sustainable interventions that bridge the gap between health innovations and actual health outcomes. Dr. Adesina also investigates the impact of electronic medical records, telemedicine adoption, and digital literacy among healthcare professionals 📝💡. His work often centers on scaling digital health tools to achieve universal health coverage in Africa. Through collaborative research, he continues to publish articles and present findings that influence digital health policy and practice worldwide 🌍📄.

Awards and Honors 🏆🎖️

Dr. Olumide Adesina has received numerous awards and honors for his contributions to medicine, public health, and digital innovation. He has been recognized by health organizations and tech institutions for his outstanding work in bridging healthcare and technology in underserved communities 🥇🌐. Among his accolades are leadership fellowships, innovation challenge grants, and international health awards celebrating excellence in digital health implementation 💡🌟. He is often invited to keynote global health summits and has been listed among influential figures shaping the future of healthcare in Africa 🗣️🏅. These honors reflect not only his individual excellence but also the positive impact of his work on public health systems. Dr. Adesina’s awards serve as a testament to his unwavering dedication and thought leadership in the global health arena.

Research Skills 🧠🧪

Dr. Adesina possesses advanced research skills in both qualitative and quantitative methods, specializing in health systems research, digital health evaluation, and implementation science 🧮📑. He is proficient in using analytical software such as SPSS, R, and NVivo for data analysis and visualization 📊💻. He is skilled in survey design, health impact assessment, policy analysis, and program evaluation. His methodological rigor is complemented by a strong ability to translate research findings into actionable insights and policy recommendations ✍️📈. Dr. Adesina has successfully led multidisciplinary research teams and collaborated with international researchers on studies funded by global health agencies. His expertise in ethical research practices and participatory research models ensures that his work is inclusive, culturally sensitive, and results-oriented 🤝🌍.

Publications Top Note 📝

  • Title: A Modified Generalized Class of Exponential Ratio Type Estimators in Ranked Set Sampling
    Authors: TOAAFGAOS Abayomi Olumuyiwa Ajayi
    Year: 2023
    Citations: 6
    Source: Scientific African

  • Title: Count Models Analysis of Factors Associated with Road Accidents in Nigeria
    Authors: AF Adedotun, OS Adesina, OK Onasanya, ES Onos, OG Onuche
    Year: 2022
    Citations: 6
    Source: International Journal of Safety and Security Engineering, 12(4), 533–542

  • Title: Bayesian Spatial Analysis of Socio-Demographic Factors Influencing Smoking, Use of Hard Drugs and Its Residual Geographic Variation among Teenagers of Reproductive Age in Nigeria
    Authors: OGO Adedayo F. Adedotun, Olanrewaju K. Onasanya, Abass I. Taiwo, Olumide S. Adesina
    Year: 2022
    Citations: 6
    Source: International Journal of Sustainable Development and Planning, 17(1), 277–288

  • Title: Forecasting of New Cases of COVID-19 in Nigeria Using Autoregressive Fractionally Integrated Moving Average Models
    Authors: OS Adesina, SA Onanaye, D Okewole, AC Egere
    Year: 2020
    Citations: 6
    Source: Asian Research Journal of Mathematics, 16(9), 135–146

  • Title: The Mackey-Glass Type Delay Differential Equation with Uniformly Generated Constants
    Authors: OS Adesina, OO Agboola, OK Famurewa
    Year: 2018
    Citations: 5
    Source: International Journal of Mechanical Engineering and Technology, 9(9), 467–477

  • Title: An Empirical Comparison of the Academic Performance of Students in the Distance Learning and Traditional Classroom Environment
    Authors: I Adeleke, OS Adesina
    Year: 2018
    Citations: 5
    Source: Social Science Asia, 4(1), 26–41

  • Title: Statistical Analysis of the Effect of Environmental Degradation on Mortality Rate: A Vector Autoregressive (VAR) Model Approach
    Authors: AF Adedotun, OG Obadina, OS Adesina, KO Omosanya, RJ Dare
    Year: 2018
    Citations: 5
    Source: International Journal of Science and Engineering Invention, 4(11), 5–14

  • Title: On COVID-19 Vaccination in Nigeria: An Empirical Study
    Authors: OS Adesina, AF Adedotun, NO Adeboye, TF Adesina, HI Okagbue, et al.
    Year: 2023
    Citations: 4
    Source: International Journal of Design & Nature and Ecodynamics, 18(1), 219–224

  • Title: Bayesian Optimization for Parameter of Discrete Weibull Regression
    Authors: DM Adesina, OS Adesina, SA Onanaye, A Samson, D Okewole
    Year: 2020
    Citations: 4
    Source: Journal of Advances in Mathematics and Computer Science, 34(6), 1–13

  • Title: Modelling Queuing System with Inverse Gamma Distribution: A Spreadsheet Simulation Approach
    Authors: OS Adesina
    Year: 2018
    Citations: 4

  • Title: On Extreme Value Theory in Modeling Nigeria Marine and Aviation Insurance Class of Business
    Authors: O Oyewole, OS Adesina, LO Adekola
    Year: 2018
    Citations: 4
    Source: Journal of Interdisciplinary Research, 3(1)

  • Title: Approximation Techniques for Maximizing Likelihood Functions of Generalized Linear Mixed Models for Binary Response Data
    Authors: JR Dare, DA Agunbiade, OK Famurewa, OS Adesina, DF Adedotun, et al.
    Year: 2018
    Citations: 4
    Source: International Journal of Engineering & Technology, 7(4), 4911–4917

  • Title: Modelling Volatility in Nigeria Foreign Exchange Market Using GARCH-type Models
    Authors: OS Adesina
    Year: 2017
    Citations: 4
    Source: IISTE

  • Title: Unsupervised Learning Analysis of European Working Condition
    Authors: OS Adesina, AF Adedotun, SA Alayande, EO Efe-Imafidon, TF Adesina, et al.
    Year: 2024
    Citations: 3
    Source: Cogent Business & Management, 11(1), 2316644

  • Title: On Logistic Regression versus Support Vector Machine Using Vaccination Dataset
    Authors: OS Adesina, AF Adedotuun, KS Adekeye, OF Imaga, AJ Adeyiga, et al.
    Year: 2024
    Citations: 3
    Source: Journal of the Nigerian Society of Physical Sciences, 1092–1092

  • Title: Assessing the Impact of ATM and POS Transactions on Currency Circulation in Nigeria: A Comparison of Artificial Neural Network and Linear Regression Models
    Authors: AF Adedotun, OG Onuche, OS Adesina, AJ Toluwalase, AJ Adeleke, et al.
    Year: 2024
    Citations: 1
    Source: Revue d’Intelligence Artificielle, 38(1), 323

  • Title: A Lotka-Volterra Non-linear Differential Equation Model for Evaluating Tick Parasitism in Canine Populations
    Authors: OS Unyime, Johnson, Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1199–1206

  • Title: Regularized Models for Fitting Zero-Inflated and Zero-Truncated Count Data: A Comparative Analysis
    Authors: OS Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1135–1141

  • Title: On the Performance of Dirichlet Prior Mixture of Generalized Linear Mixed Models for Zero Truncated Count Data
    Authors: AKS Adesina O.S
    Year: 2023
    Citations: 1
    Source: Journal of Statistics Application & Probability, 12(3), 1169–1178

  • Title: Crude Oil and Economic Performance in Nigeria in the Presence of Multicollinearity Using Cobb-Douglass Model
    Authors: AAF Adesina O.S
    Year: 2025
    Source: International Journal of Energy Economics and Policy, 15(2), 666–679

  • Title: Impact of Artificial Intelligence in Human Resource Management: A Cross-Sectional Study of Travel Industry in South Africa
    Authors: LO Obokoh, OS Adesina, MN Masuku
    Year: 2025
    Source: International Conference of Accounting & Business, 749–759

Conclusion 📌

Dr. Olumide Adesina stands out as a visionary leader at the nexus of healthcare, technology, and policy. With a solid foundation in medical education, extensive clinical and public health experience, and a passion for digital transformation, he has become a force for innovation in Africa’s health sector 🚀🏥. His dedication to advancing healthcare through research, capacity building, and strategic collaborations reflects his holistic approach to solving health challenges. Through numerous accolades, leadership roles, and research contributions, Dr. Adesina continues to inspire change and drive progress in global health 🌍👏. He remains committed to empowering communities, enhancing health access, and shaping a future where technology and human-centered care go hand in hand for better health outcomes for all 🧑‍⚕️💡.

Qi Zhang | Mathematical Modeling | Best Researcher Award

Assoc. Prof. Dr. Qi Zhang | Mathematical Modeling | Best Researcher Award

Senior Researcher at Shandong University, China

Dr. Qi Zhang 👨‍🔬, an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳, is a leading expert in electric vehicles 🚗, lithium-ion batteries 🔋, and power battery management. With a strong focus on energy optimization and modeling, he has contributed extensively to top-tier journals as an Editor-in-Chief, Guest Editor, and reviewer ✍️. A respected member of IEEE and several national academic committees 🏅, Dr. Zhang has organized and chaired major international conferences, shaping the future of clean energy and smart mobility 🌍. His active involvement in editorial boards and special issues demonstrates his influence in advancing electrochemical energy research ⚡. A passionate academic, Dr. Zhang combines innovation, collaboration, and impact, making him a recognized name in sustainable technology and battery systems research. 📘🔬

Professional Profile 

🎓 Education

Dr. Qi Zhang pursued his academic journey in engineering with a strong foundation in control science and power systems ⚙️. His higher education equipped him with advanced knowledge in battery management systems, lithium-ion technology, and electrical vehicle engineering 🔋🚗. With a keen interest in applied research, he specialized in battery modeling and system optimization, aligning his studies with pressing global energy challenges 🌱. His academic background laid the groundwork for his impactful research in energy storage and control systems, supported by hands-on experimentation and computational modeling 📚💡. Dr. Zhang’s education has not only shaped his technical abilities but also nurtured his analytical mindset, fostering a deep commitment to innovation, sustainable mobility, and academic excellence 📖🏅.

💼 Professional Experience

Dr. Qi Zhang is an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳. With years of dedicated service, he has established himself as a key contributor in electric vehicle technologies and battery systems 🔌🚘. He has taken on multiple leadership roles including Editor-in-Chief, Guest Editor, and Session Chair at international conferences such as ICIEA and NESD 📊🌐. His professional affiliations include IEEE, AEIC, and Chinese Electrotechnical Society, reflecting his deep integration into global research networks 🤝. Dr. Zhang’s work spans across research, academic mentorship, and peer review, demonstrating a balanced blend of theory and real-world application. His industry collaborations and research leadership showcase a career marked by innovation, reliability, and technical excellence 📈🔍.

🔬 Research Interests

Dr. Zhang’s research is centered on electric vehicles, lithium-ion batteries, and power battery modeling and management systems 🚗🔋. His work focuses on enhancing the efficiency, safety, and performance of energy storage and electric mobility systems through smart algorithms and control strategies 🤖📡. He investigates battery thermal dynamics, charging protocols, and electrochemical modeling to improve reliability and longevity of EV systems ⏱️⚡. Additionally, his interest in fractional-order systems and data-driven approaches positions him at the forefront of next-gen battery technology. Dr. Zhang’s interdisciplinary focus bridges the gap between control science, energy sustainability, and intelligent transport systems 🛣️🌍. His research contributes significantly to the green energy transition, paving the way for smarter and more sustainable mobility solutions 🌱🧠.

🏅 Awards and Honors

Dr. Qi Zhang’s dedication to academic excellence has earned him numerous accolades 🌟. Recognized as an Outstanding Reviewer by top-tier journals like ISA Transactions and Electrical Engineering, he has demonstrated rigorous scholarly commitment and peer evaluation integrity 🧾🔍. His editorial leadership in special issues of Symmetry, Energies, Electrochem, and Electronics underlines his recognition as a thought leader in battery research and energy systems 🔋📘. In addition, his roles in professional societies, including IEEE membership and his inclusion in academic committees across Asia and Singapore 🇸🇬, affirm his influential standing. These honors reflect his consistent impact on the field and his dedication to collaborative progress in clean energy and vehicle electrification ⚡🚗.

🛠️ Research Skills

Dr. Zhang exhibits a diverse and sophisticated research skillset encompassing battery modeling, control system design, thermal analysis, and intelligent battery management 🧠💻. His proficiency in computational tools and system simulations allows him to address complex engineering challenges with precision. He is adept at leading multidisciplinary projects, organizing special issues, and reviewing for globally reputed journals, showcasing his editorial and analytical acumen 📈📝. Additionally, his technical expertise extends to data analysis, algorithm design, and hybrid energy systems, enabling impactful contributions in sustainable technology. With strong communication skills, project coordination capabilities, and collaborative leadership, Dr. Zhang bridges theory and application seamlessly. His combination of technical depth and academic influence positions him as a forward-thinking researcher and innovator 🌐🔬.

Publications Top Note 📝

  • Title: A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries
    Authors: Q. Zhang, Y. Shang, Y. Li, N. Cui, B. Duan, C. Zhang
    Year: 2020
    Citations: 138
    Source: ISA Transactions, Vol. 97, pp. 448–457

  • Title: Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter
    Authors: B. Duan, Q. Zhang, F. Geng, C. Zhang
    Year: 2020
    Citations: 124
    Source: International Journal of Energy Research, Vol. 44(3), pp. 1724–1734

  • Title: Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter
    Authors: R. Zhu, B. Duan, J. Zhang, Q. Zhang, C. Zhang
    Year: 2020
    Citations: 109
    Source: Applied Energy, Vol. 277, Article 115494

  • Title: A sine-wave heating circuit for automotive battery self-heating at subzero temperatures
    Authors: Y. Shang, K. Liu, N. Cui, Q. Zhang, C. Zhang
    Year: 2019
    Citations: 95
    Source: IEEE Transactions on Industrial Informatics, Vol. 16(5), pp. 3355–3365

  • Title: Multicell-to-Multicell Equalizers Based on Matrix and Half-Bridge LC Converters for Series-Connected Battery Strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, Z. Zhou, C. Zhang
    Year: 2019
    Citations: 90
    Source: IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8(2)

  • Title: A cell-to-cell equalizer based on three-resonant-state switched-capacitor converters for series-connected battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, C. Zhang
    Year: 2017
    Citations: 84
    Source: Energies, Vol. 10(2), Article 206

  • Title: An optimized mesh-structured switched-capacitor equalizer for lithium-ion battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, C. Zhang
    Year: 2018
    Citations: 79
    Source: IEEE Transactions on Transportation Electrification, Vol. 5(1), pp. 252–261

  • Title: Modeling and analysis of high-frequency alternating-current heating for lithium-ion batteries under low-temperature operations
    Authors: Y. Shang, C. Zhu, G. Lu, Q. Zhang, N. Cui, C. Zhang
    Year: 2020
    Citations: 76
    Source: Journal of Power Sources, Vol. 450, Article 227435

  • Title: Robust current control-based generalized predictive control with sliding mode disturbance compensation for PMSM drives
    Authors: X. Liu, C. Zhang, K. Li, Q. Zhang
    Year: 2017
    Citations: 72
    Source: ISA Transactions, Vol. 71, pp. 542–552

  • Title: Fractional calculus based modeling of open circuit voltage of lithium-ion batteries for electric vehicles
    Authors: Q. Zhang, N. Cui, Y. Li, B. Duan, C. Zhang
    Year: 2020
    Citations: 62
    Source: Journal of Energy Storage, Vol. 27, Article 100945

  • Title: An adaptive battery capacity estimation method suitable for random charging voltage range in electric vehicles
    Authors: C. Zhang, Y. Kang, B. Duan, Z. Zhou, Q. Zhang, Y. Shang, A. Chen
    Year: 2021
    Citations: 55
    Source: IEEE Transactions on Industrial Electronics, Vol. 69(9), pp. 9121–9132

  • Title: Fractional-order modeling of lithium-ion batteries using additive noise assisted modeling and correlative information criterion
    Authors: M. Yu, Y. Li, I. Podlubny, F. Gong, Y. Sun, Q. Zhang, Y. Shang, B. Duan
    Year: 2020
    Citations: 52
    Source: Journal of Advanced Research, Vol. 25, pp. 49–56

  • Title: Optimal planning of electric vehicle charging stations considering user satisfaction and charging convenience
    Authors: D. Xu, W. Pei, Q. Zhang
    Year: 2022
    Citations: 43
    Source: Energies, Vol. 15(14), Article 5027

  • Title: A neural network fuzzy energy management strategy for hybrid electric vehicles based on driving cycle recognition
    Authors: Q. Zhang, X. Fu
    Year: 2020
    Citations: 42
    Source: Applied Sciences, Vol. 10(2), Article 696

  • Title: Parameter matching optimization of a powertrain system of hybrid electric vehicles based on multi-objective optimization
    Authors: X. Fu, Q. Zhang, J. Tang, C. Wang
    Year: 2019
    Citations: 32
    Source: Electronics, Vol. 8(8), Article 875

  • Title: Variable fractional order—A comprehensive evaluation indicator of lithium-ion batteries
    Authors: Y. Sun, Y. Li, M. Yu, Z. Zhou, Q. Zhang, B. Duan, Y. Shang, C. Zhang
    Year: 2020
    Citations: 31
    Source: Journal of Power Sources, Vol. 448, Article 227411

  • Title: Practical State of Health Estimation for LiFePO4 Batteries Based on Gaussian Mixture Regression and Incremental Capacity Analysis
    Authors: Z. Zhou, B. Duan, Y. Kang, Y. Shang, Q. Zhang, C. Zhang
    Year: 2022
    Citations: 30
    Source: IEEE Transactions on Industrial Electronics, Vol. 70(3), pp. 2576–2585

🏁 Conclusion

In conclusion, Dr. Qi Zhang is a distinguished scholar and researcher in the field of electric mobility and battery management 🌟. His expertise spans critical areas of lithium-ion battery systems, energy efficiency, and sustainable vehicle technology 🚗⚡. With a robust academic background, impactful editorial and professional roles, and a well-rounded skillset, he demonstrates all the qualities of a global research leader. His work not only advances scientific understanding but also contributes to the development of clean and intelligent transport solutions 🌍🛠️. Through consistent contributions to international journals, conferences, and collaborative networks, Dr. Zhang remains a key figure driving innovation in energy systems. He is exceptionally well-positioned for recognition such as the Best Researcher Award for his dedication, vision, and impact 🏅.