Dinesh Kumar | Pure Mathematics | Best Researcher Award

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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 

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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 📈.

Fan Yang | Computational Mathematics | Best Researcher Award

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Prof. Fan Yang | Computational Mathematics | Best Researcher Award

Professor at Lanzhou University of Technology, China

Professor Fan Yang 🎓, born in April 1976, is a distinguished mathematician at the School of Science, Lanzhou University of Technology, China. With a solid academic foundation—earning his B.Sc., M.Sc., and Ph.D. from Lanzhou University—he has emerged as a notable expert in inverse problems 🔍 and fractional diffusion equations 🌐. His research contributions span over 14 impactful publications in internationally recognized journals, showcasing innovative regularization techniques like Tikhonov, mollification, and quasi-boundary methods 🧮. His work significantly enhances computational stability in solving complex physical models, particularly heat and Poisson equations 🔥➕. Professor Yang collaborates closely with scholars like Chu-Li Fu and Xiao-Xiao Li, reflecting his team-driven approach and scientific synergy 🤝. While his global visibility could be further amplified, his technical depth, precision, and dedication place him among the front-runners in applied mathematics. A trailblazer in mathematical physics, Prof. Yang continues to illuminate intricate problems with clarity and rigor ✨.

Professional Profile 

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📘 Education

Professor Fan Yang 🎓 embarked on his academic path at Lanzhou University, a premier institution in China 🇨🇳. He obtained his Bachelor’s degree in Mathematics in 2000, deepening his analytical foundations. Committed to advancing knowledge, he earned his Master’s degree in 2007 and later achieved his Doctoral degree in 2014, specializing in mathematical physics equations. This progressive academic journey illustrates a firm dedication to mathematical excellence 📐. His scholarly roots at Lanzhou University equipped him with the skills to explore abstract theories and practical modeling 🧠. The consistent pursuit of higher education across nearly 15 years showcases his unwavering commitment to mastering complexity and innovation. His academic development has been vital in shaping him into a respected voice within the mathematical research community 🔍.

💼 Professional Experience

Professor Fan Yang currently holds a prestigious role at the School of Science, Lanzhou University of Technology 🏫, where he serves as a full professor. With a career rooted in academia, he has accumulated decades of teaching, mentorship, and research leadership 📊. Over the years, he has played a central role in guiding both undergraduate and postgraduate students, helping nurture the next generation of mathematical minds 👨‍🏫. His collaborative efforts with other scholars and his role in departmental research initiatives reflect his deep integration into academic life 🧩. Prof. Yang’s dedication to fostering scientific thought and problem-solving capacity makes him a pillar of his department. His evolving role from student to faculty leader exemplifies his rise through perseverance, expertise, and scholarly drive 🚀.

🔬 Research Interest

Prof. Fan Yang’s research orbits around inverse problems and fractional diffusion equations, niche yet powerful areas within applied mathematics 🧠. His work primarily addresses ill-posed problems in mathematical physics, especially those modeling heat and source detection phenomena 🔥🧊. His innovative application of regularization techniques—such as Tikhonov, truncation, and mollification—enhances stability and solution accuracy in computational models. He focuses on determining unknown parameters from partial data, contributing solutions to real-world problems in geophysics, medical imaging, and thermal analysis 🌍💡. This niche research supports the broader scientific community in understanding and interpreting complex systems. With publications in high-impact journals and a track record of meaningful inquiry, Prof. Yang continues to redefine mathematical boundaries, blending theory and application in impactful, forward-thinking ways 📈🔎.

🏅 Awards and Honors

Though specific awards and honors are not listed in detail, Professor Fan Yang’s academic recognition is evident through consistent publications in reputable international journals 📰. Journals such as Applied Mathematical Modelling, Journal of Inverse and Ill-Posed Problems, and Computational and Applied Mathematics have showcased his findings, underscoring the scholarly value of his work 🏆. His research has earned collaboration with distinguished mathematicians, a subtle indicator of peer recognition and respect 🤝. Serving as a professor at a top Chinese university further indicates institutional acknowledgment of his contributions 🎖️. While formal accolades may not be detailed here, Prof. Yang’s enduring presence in high-level research forums and his intellectual influence make him a quiet achiever whose work speaks volumes through citations and scholarly impact 🌟.

📌 Conclusion

Professor Fan Yang is a dedicated scholar whose academic path, professional evolution, and focused research agenda reflect a life devoted to scientific advancement 🔭. From tackling complex inverse problems to refining numerical solutions for fractional equations, his work resonates across mathematical physics and engineering realms 🌐. With a foundation built at Lanzhou University and a professorship at Lanzhou University of Technology, his influence continues to grow 📘💡. While he may remain understated in accolades, his scholarly contributions are undeniable—spanning critical journals and collaborative research 🧩. Prof. Yang exemplifies how dedication, precision, and thoughtful inquiry can shape the modern mathematical landscape. As a thinker, mentor, and innovator, he is undoubtedly a valuable figure in advancing computational mathematics and applied sciences 💫🧮.

Publications Top Notes

🔹 Title: Simultaneous Inversion of the Source Term and Initial Value of the Multi-Term Time Fractional Slow Diffusion Equation
Authors: L. Qiao, R. Li, Fan Yang, X. Li
Year: 2025 🗓️
Journal: Journal of Applied Analysis and Computation 🏫📚

🔹 Title: Fractional Landweber Regularization Method for Identifying the Source Term of the Time Fractional Diffusion-Wave Equation
Authors: Z. Liang, Q. Jiang, Q. Liu, L. Xu, Fan Yang
Year: 2025 🗓️
Journal: Symmetry 📐📚

🔹 Title: PINN Neural Network Method for Solving the Forward and Inverse Problem of Time-Fractional Telegraph Equation
Authors: Fan Yang, H. Liu, X. Li, J. Cao
Year: 2025 🗓️
Citations: 2 📚
Journal: Results in Engineering ⚙️

🔹 Title: Two Regularization Methods for Identifying the Initial Value of Time-Fractional Telegraph Equation
Authors: Y. Liang, Fan Yang, X. Li
Year: 2025 🗓️
Citations: 2 📚
Journal: Computational Methods in Applied Mathematics 📊

🔹 Title: Two Regularization Methods for Identifying the Unknown Source of Sobolev Equation with Fractional Laplacian
Authors: Fan Yang, L.L. Yan, H. Liu, X. Li
Year: 2025 🗓️
Citations: 4 📚
Journal: Journal of Applied Analysis and Computation 🏫

🔹 Title: Two Regularization Methods for Identifying the Source Term of Caputo-Hadamard Type Time Fractional Diffusion-Wave Equation
Authors: Fan Yang, R. Li, Y. Gao, X. Li
Year: 2025 🗓️
Journal: Journal of Inverse and Ill-Posed Problems 🔄📚

🔹 Title: Effect of Surface Effect on Linear Bending Behavior of Nano-Switch Structure
Authors: Fan Yang, X. Wang, C. Li
Year: 2024 🗓️
Journal: Yingyong Lixue Xuebao (Chinese Journal of Applied Mechanics) 🔧📚

🔹 Title: Simultaneous Identification of the Unknown Source Term and Initial Value for the Time Fractional Diffusion Equation with Local and Nonlocal Operators
Authors: L. Qiao, Fan Yang, X. Li
Year: 2024 🗓️
Citations: 3 📚
Journal: Chaos, Solitons and Fractals 🌀

🔹 Title: Analysis of Nonlinear Bending Behavior of Nano-Switches Considering Surface Effects
Authors: Fan Yang, X. Wang, X. Song, W. Yang
Year: 2024 🗓️
Journal: Discover Nano 🔬📚

Anita Tomar | Pure Mathematics | Excellence in Research

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Prof. Anita Tomar | Pure Mathematics | Excellence in Research

Professor and Head at Pt. L. M. S. Campus, Sri Dev Suman Uttarakhand University, Rishikesh, India

Professor Anita Tomar is a distinguished academic with over 25 years of experience in mathematics. Currently serving as the Head of the Department of Mathematics at Sri Dev Suman Uttarakhand University, she specializes in Fixed Point Theory, Fractals, and Nonlinear Functional Analysis. With a Ph.D. in Mathematics and more than 95 publications, including 10 book chapters and one edited book, she has made significant contributions to the field. She has earned numerous accolades, including the “Excellence in Research Award 2023” and the “Chief Minister Excellence and Good Governance Award 2020-21.” 🌟📚 Prof. Tomar has collaborated internationally with experts from various countries and played a key role in developing syllabi under NEP 2020 for multiple institutions. 🌍 Her research includes groundbreaking work on fixed points, fractals, and their applications in science and technology. 🧮🔬 As a renowned educator and researcher, she continues to inspire the academic community.

Professional Profile 

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Education 📖🎓

Professor Anita Tomar’s educational journey is a testament to her dedication to mathematics. She holds a Ph.D. in Mathematics, having earned it through years of rigorous research and exploration of specialized mathematical fields. Her academic foundation also includes a Master’s in Mathematics, which she completed with distinction. 📖🎓 Her deep understanding of mathematical concepts is reflected in her research and teaching, where she has inspired numerous students to pursue advanced studies in the field. Her education has paved the way for a successful career, allowing her to contribute significantly to the advancement of mathematical knowledge. 🌟

Professional Experience 👩‍🏫✨

With over 25 years of teaching experience, Professor Anita Tomar is a highly respected academic leader. 🌱 She has served as the Head of the Department of Mathematics at Sri Dev Suman Uttarakhand University, where she has shaped the curriculum and mentored students. 🏫 Her professional journey also includes teaching at prestigious institutions and guiding students at all levels, from undergraduate to Ph.D. Her expertise spans both theoretical and applied mathematics, and she has contributed to the development of new academic programs under India’s NEP 2020. Her leadership continues to influence the future of mathematics education. 👩‍🏫✨

Research Interests 🧮

Professor Anita Tomar’s research is centered on Fixed Point Theory, Nonlinear Functional Analysis, and Fractals. 🧮 Her work on the applications of these mathematical concepts to real-world problems, such as drug diffusion and tumor micro-environments, has established her as a leader in interdisciplinary mathematical research. 🔬 Her extensive publication record, which includes 95 papers and 10 book chapters, showcases the breadth and depth of her contributions. 🌍📚 She is passionate about advancing mathematical theories and exploring their applications in areas like physics, biology, and engineering. Her innovative research continues to push the boundaries of mathematical science. 🌟

Awards and Honors 🏆

Throughout her career, Professor Anita Tomar has received numerous prestigious awards and honors that recognize her exceptional contributions to mathematics. 🏆 These accolades include the “Excellence in Research Award 2023” and the “Chief Minister Excellence and Good Governance Award 2020-21,” underscoring her impact in both academic and societal contexts. 🌟 Her accolades reflect her ongoing commitment to advancing mathematical research and education. As a respected figure in her field, she continues to inspire and lead through both her scholarly work and her mentoring of the next generation of mathematicians. 🌟📜

Conclusion🌍📚

Professor Anita Tomar’s career is a shining example of excellence in mathematics. With a rich educational background, decades of professional experience, and a strong research record, she has made invaluable contributions to the mathematical community. 🌍📚 Her dedication to education, research, and interdisciplinary applications of mathematics has earned her widespread recognition. Through her awards, leadership roles, and collaborative work with international researchers, Professor Tomar continues to inspire both her peers and students. 🌟 As a researcher and educator, her passion for mathematics is unmatched, and she remains an influential figure in her field. 🌟

Publications Top Notes

🌀 Fractal Generation via Generalized Fibonacci–Mann Iteration with S-Convexity
Authors: S. Antal, N. Özgür, A. Tomar, K. Gdawiec
Year: 2024
Citation: Indian Journal of Pure and Applied Mathematics, 1-15
Source: Indian Journal of Pure and Applied Mathematics 🧮🔢

📊 Best Proximant for Set-Valued Maps via Proximal Relations
Authors: S. Petwal, A. Tomar, M. Joshi
Year: 2023
Citation: International Journal of Nonlinear Analysis and Applications, 14(1), 1237-1247
Source: International Journal of Nonlinear Analysis and Applications 📊📈

✍️ On Solutions to Open Problems and Volterra-Hammerstein Non-linear Integral Equation
Authors: S. Beloul, A. Tomar, M. Joshi
Year: 2022
Citation: Applied Mathematics E-Notes, 22, 692-711
Source: Applied Mathematics E-Notes ✍️📚

🔄 Fixed Point on Complete M-Metric Spaces via F(ψ, φ)- Contraction Mappings and Application to Periodic Differential Equation
Authors: S. Petwal, A. Tomar, M. Joshi
Year: 2021
Citation: Azerbaijan J. Math., 11(2 special issue), 29-48
Source: Azerbaijan Journal of Mathematics 🔄🌀

📐 Results in Strongly Minihedral Cone and Scalar Weighted Cone Metric Spaces and Applications
Authors: A. Tomar, M. Joshi
Year: 2021
Citation: Annales Mathematicae Silesianae, DOI: 10.2478/amsil-2021-0009
Source: Annales Mathematicae Silesianae 📐🔺

🧩 Existence of Coincidence and Common Fixed Points for Weakly Compatible Mappings in Symmetric Spaces
Authors: S. Manro, A. Tomar, S. M. Kang
Year: 2015
Citation: Bangmod Int. J. Math. & Comp. Sci., 1(01), 19-31
Source: Bangmod International Journal of Mathematics & Computer Science 🧩💡

💻 A Common Fixed Point Theorem in Non-Archimedean Menger PM-Space
Authors: S. Chauhan, B.D. Pant, S. Kumar, A. Tomar
Year: 2013
Citation: Analele Universitatii Oradea Fasc. Matematica, 20(02), 75-84
Source: Analele Universitatii Oradea 📚💻

✨ Positive Solutions of Discrete Fractional Sturm–Liouville Problems
Authors: J.M. Jonnalagadda, A. Tomar
Year: 2025
Citation: Journal of Mathematical Sciences, 1-14
Source: Journal of Mathematical Sciences 🧮✨

🔬 Non-Contractive Mappings and Application to a Drug Diffusion Problem
Authors: R.P. Pant, A. Tomar, M. Joshi
Year: 2025
Citation: Applied General Topology, 26(1), 221-240
Source: Applied General Topology 🔬💊

🌌 On the Evolution and Importance of the Fibonacci Sequence in Visualization of Fractals
Authors: S. Sharma, A. Tomar, S.K. Padaliya
Year: 2025
Citation: Chaos, Solitons & Fractals, 191, 115851
Source: Chaos, Solitons & Fractals 🔢🌌

🌊 An Effective Iterative Process Utilizing Transcendental Sine Functions for the Generation of Julia and Mandelbrot Sets
Authors: K.H. Alam, Y. Rohen, A. Tomar, N. Saleem, M. Aphane, A. Razzaque
Year: 2025
Citation: Fractal and Fractional, 9(1), 40
Source: Fractal and Fractional 🌊📉

🌍 Assessment and Study of Four Major Air Pollutants in Three Main Garhwal Region in Uttarakhand
Authors: A. Tomar, V. Kumar, P.P. Pathak, F.S. Gill
Year: 2025
Citation: Challenges in Information, Communication and Computing Technology, 286-291
Source: Challenges in Information, Communication and Computing Technology 🌍🌀

🚀 A New Extended Metric Space and Solution of Rocket’s Ascending Motion
Authors: A. Tomar
Year: 2025
Citation: Asian-European Journal of Mathematics, 2550001, 18
Source: Asian-European Journal of Mathematics 🚀📐

💡 Resolving Elliptic Boundary Value Problem and Integral Equation in Relational Partial Metric Space
Authors: M. Joshi, A. Tomar, M. Sajid, S.K. Padaliya
Year: 2024
Citation: Heliyon, 10(23)
Source: Heliyon 💡🌍

🔍 On Set-Valued Fixed Points, Their Geometry, and Solution of Boundary Value Problem for a Differential Inclusion
Authors: M. Joshi, A. Tomar
Year: 2024
Citation: Indian Journal of Pure and Applied Mathematics, 1-16
Source: Indian Journal of Pure and Applied Mathematics 🧮🔍

📈 Asymptotic Behavior of Generalized CR− Iteration Algorithm and Application to Common Zeros of Accretive Operators
Authors: A. Mushtaq, K. Moinuddin, N. Sharma, A. Tomar
Year: 2024
Citation: MATHEMATICA, 399
Source: MATHEMATICA 📈🔄

🗣️ International Symposium on Recent Progress in Fixed Point Theory
Author: A. Tomar
Year: 2023
Citation: Ege University
Source: Ege University 🗣️🔢

Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

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Dr. Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

Electrical Engineering Lecturer at Liverpool John Moores University, United Kingdom

Dr. Mohamed Etarhouni is an accomplished lecturer and researcher in Electrical and Electronic Engineering 🌍. With a PhD specializing in renewable energy systems, his innovative work on optimizing solar PV systems 🏞️ has been published in top journals like IEEE and Elsevier. Boasting over 8 years of teaching experience 📚, he excels in integrating modern tools such as MATLAB-Simulink, Proteus, and Mobius to create engaging, hybrid learning environments. His passion for student development is evident through his commitment to inclusive education and ongoing professional growth, including a PGCert in Teaching in Higher Education 🎓. Dr. Etarhouni’s contributions extend beyond teaching, as he actively participates in academic conferences, peer reviewing, and fostering interdisciplinary research. Recognized for his exceptional teaching and scholarly achievements 🏆, he is a forward-thinking academic whose work bridges the gap between theory and practical solutions in the rapidly evolving field of renewable energy.

Professional Profile

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Education 🎓

Dr. Mohamed Etarhouni’s educational journey showcases a blend of academic excellence and practical application. He earned his PhD in Electrical and Electronic Engineering from the University of Leeds, where he focused on developing advanced techniques for maximizing power extraction from solar photovoltaic (PV) systems, particularly under partial shading conditions 🌞. In addition, he holds an MSc in Electrical Engineering & Renewable Energy Systems with distinction from the University of Leeds, where he demonstrated outstanding performance in his field. Currently, he is further advancing his teaching expertise by pursuing a PGCert in Teaching in Higher Education at Keele University, continuing his passion for educational innovation 📚. His strong educational foundation enables him to deliver effective and forward-thinking teaching strategies while also contributing to research and technology development in renewable energy.

Professional Experience 💼

Dr. Etarhouni brings over 8 years of experience in academia, having taught at respected institutions such as Liverpool John Moores University, Teesside University, and the Open University. He has designed and delivered courses in a variety of areas, including electronics, power electronics, embedded systems, and electrical circuits ⚡. Dr. Etarhouni integrates cutting-edge technologies like Canvas, MATLAB-Simulink, and Mobius to enhance the learning experience for students, ensuring they acquire the practical skills needed in the rapidly evolving field of electrical engineering. His expertise is not limited to teaching; he has supervised both undergraduate and postgraduate students, guiding them through research projects that bridge theory and real-world applications. Dr. Etarhouni’s collaborative research with the University of Leeds in power electronics and renewable energy continues to fuel his passion for both education and sustainable technology 🌍.

Research Interest 🔬

Dr. Etarhouni’s primary research interest lies in optimizing renewable energy systems, specifically solar power technologies. His work on improving the performance of solar PV systems through advanced optimization techniques—particularly in partial shading scenarios—has set him apart in his field. He has pioneered innovations such as Series-Parallel Differential Power Processing (SP-DPP) converters and fuzzy logic-based control systems, all designed to maximize energy extraction from solar arrays 🌞. His research also delves into the integration of renewable energy systems with power electronics, aiming to improve overall system efficiency and reliability. His work in this area has been published in prominent journals, and he continues to explore new configurations to enhance the practicality and scalability of renewable energy solutions, contributing significantly to the global push toward sustainable energy sources 🌱.

Awards and Honors 🏅

Dr. Etarhouni’s dedication to both research and teaching has earned him numerous accolades. He was awarded the Best Paper Award at the IEEE Renewable Energy Congress for his groundbreaking work on solar PV technologies, and his teaching excellence has been recognized with multiple Teaching Recognition Certificates from Liverpool John Moores University 🏆. His contributions to higher education and research were further acknowledged when he received an Exemplar Recognition from Keele University for his innovative approaches to teaching. As a Fellow of the Higher Education Academy (FHEA), Dr. Etarhouni demonstrates a strong commitment to maintaining high teaching standards. His active role as a session chair and peer reviewer at international conferences highlights his prominent position within the academic community, and his continuous professional development reflects his dedication to furthering his expertise in both pedagogy and engineering 🌟.

Conclusion 🌟

Dr. Mohamed Etarhouni stands out as an academic and researcher whose work consistently bridges the gap between cutting-edge renewable energy solutions and effective teaching methodologies. His contributions to optimizing solar energy systems are setting new standards in the field of renewable energy, while his dedication to education is fostering the growth of future engineers. As a published researcher and award-winning educator, Dr. Etarhouni’s innovative approach to both teaching and research continues to influence the academic and engineering communities. With his ongoing commitment to professional development and research, Dr. Etarhouni is poised to remain a key figure in advancing sustainable energy solutions and educational excellence 🌍⚡.

Publications Top Notes

🌞 Design of Novel Differential Power Processing Scheme for Small-Scale PV Array Application Operating Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Hiroshan Puvanendra Moorthy, Benjamin Chong
Year: 2024
Source: Computers and Electrical Engineering
DOI: 10.1016/j.compeleceng.2024.109254
This paper discusses a novel power processing scheme 🛠️ designed for small-scale photovoltaic (PV) arrays under partial shading conditions 🌥️, which are common in solar energy systems. The scheme aims to maximize the output power and enhance system efficiency by addressing shading effects.

⚡ Control of Cascaded PV-Ćuk Converter Modules by Particle Swarm Optimization Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Benjamin Chong
Year: 2023
Source: World Congress on Electrical Engineering and Computer Systems and Science
DOI: 10.11159/eee23.107
This study explores the optimization 🔧 of Cascaded PV-Ćuk converters using particle swarm optimization 🐝, particularly under partial shading 🌑 conditions. It introduces an innovative control strategy to improve the performance of photovoltaic systems during shaded conditions.

🌞 A Combined Scheme for Maximising the Output Power of a Photovoltaic Array Under Partial Shading Conditions

Authors: Mohamed Etarhouni
Year: 2022
Source: Sustainable Energy Technologies and Assessments
DOI: 10.1016/j.seta.2021.101878
The article presents a combined scheme 🛠️ designed to maximize output power from a photovoltaic array under partial shading 🌤️ conditions. This method enhances the power extraction capabilities of PV systems, addressing common challenges in solar energy applications.

🌅 A Novel Square Algorithm for Maximising the Output Power from a Partially Shaded Photovoltaic Array System

Authors: Mohamed Etarhouni
Year: 2022
Source: Optik
DOI: 10.1016/j.ijleo.2022.168870
This paper introduces a novel square algorithm 💡 for optimizing power output from partially shaded photovoltaic systems. It aims to mitigate the effects of shading 🌒 on solar energy production, improving overall system efficiency 🌞.

🔋 Series-Parallel Differential Power Processing Scheme for Maximised Power Extraction from Mismatched Photovoltaic Panels

Authors: Mohamed Etarhouni
Year: 2020
Source: 10th International Conference on Power Electronics, Machines and Drives (PEMD)
This conference paper presents a series-parallel differential power processing scheme 🔋 to maximize power extraction from mismatched PV panels under varying conditions. The innovative scheme improves solar energy generation efficiency despite mismatch between panels.

🌞 Optimal Design of Series-Parallel Differential Power Processing Converters for Photovoltaic Array Energy Systems

Authors: Mohamed Etarhouni
Year: 2020
Source: 37th European Photovoltaic Solar Energy Conference and Exhibition
This work focuses on the optimal design 🛠️ of series-parallel differential power processing converters aimed at improving energy efficiency in solar power systems. The design optimizes power management in photovoltaic arrays, reducing energy loss due to shading or mismatch.

⚡ Review of PV Array Interconnection Schemes for Maximum Power Operation Under Partial Shading

Authors: Mohamed Etarhouni
Year: 2019
Source: 36th European Photovoltaic Solar Energy Conference and Exhibition
DOI: 10.4229/EUPVSEC20192019-5BO.5.6
This paper offers a comprehensive review 📚 of various PV array interconnection schemes designed to ensure maximum power output under partial shading conditions. It evaluates techniques for overcoming common solar energy challenges related to shading and array configuration.

🌅 A PV Array Reconfiguration Algorithm for Minimising Partial Shading Effects

Authors: Mohamed Etarhouni
Year: 2019
Source: 2019 10th International Renewable Energy Congress (IREC)
DOI: 10.1109/irec.2019.8754602
The paper introduces a reconfiguration algorithm 🔄 for photovoltaic arrays, aimed at minimizing the effects of partial shading 🌦️. The algorithm focuses on optimal array configuration, boosting power extraction by reducing the impact of shading on solar panels.

Shenzhou Zheng | Differential Equations | Best Researcher Award

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Prof. Shenzhou Zheng | Differential Equations | Best Researcher Award

Professor at Beijing Jiaotong University, China

Prof. Shenzhou Zheng 🌟 is a distinguished mathematician whose groundbreaking contributions in nonlinear analysis, partial differential equations, and functional analysis have shaped the modern mathematical landscape. With a visionary mind and tireless dedication, he has authored over 100 high-impact research papers 📚 in top-tier journals, inspiring generations of scholars worldwide. A beacon of innovation 🔬, Prof. Zheng’s work seamlessly bridges deep theory with real-world applications, making waves in science and engineering alike. He holds prestigious academic positions and has been a keynote speaker 🎤 at numerous international conferences, earning accolades for his clarity and insight. Beyond his brilliance in research, he is also celebrated as a passionate mentor 👨‍🏫, guiding young talents toward excellence. Prof. Zheng’s legacy is not just in theorems and equations, but in the lives he touches through knowledge, curiosity, and the relentless pursuit of truth. Truly, a titan in mathematics whose impact echoes far and wide 🌐.

Professional Profile 

Scopus Profile
ORCID Profile 

🎓 Education

Prof. Shenzhou Zheng embarked on his mathematical journey with unmatched zeal, earning his degrees from top-tier institutions that nurtured his early brilliance 🌟. He obtained his Ph.D. in Mathematics from the prestigious Sun Yat-sen University 🇨🇳, where his passion for rigorous problem-solving took root. With an academic foundation grounded in analytical precision and creative exploration, Prof. Zheng continued to sharpen his expertise through postdoctoral research and academic collaborations across continents 🌍. His educational path reflects not just formal achievement but a lifelong love for learning, logic, and abstract beauty. Guided by curiosity and perseverance 🧠, his scholarly formation set the stage for a remarkable career defined by innovation, mentorship, and global impact. From chalkboards to conferences, Prof. Zheng’s educational journey shines as a model of scholarly pursuit and intellectual excellence 📘.

💼 Professional Experience

Prof. Shenzhou Zheng has carved a luminous path through academia with a career rich in leadership, discovery, and teaching excellence 👨‍🏫. He currently holds a distinguished professorial role at Sun Yat-sen University, contributing dynamically to both the theoretical and applied realms of mathematics. Over the years, he has served in various prestigious academic posts, influencing curriculum development, fostering interdisciplinary research, and mentoring a new generation of mathematicians 🌐. His collaborations with leading international scholars and institutions have produced cutting-edge results and fostered vibrant global exchanges ✈️. Prof. Zheng is also an editorial board member for esteemed mathematical journals 📝, a testament to his authority in the field. Through his unwavering commitment to excellence and innovation, he has cultivated an academic legacy that resonates across classrooms, conferences, and research centers alike 🌟.

🔬 Research Interest

At the heart of Prof. Shenzhou Zheng’s illustrious career lies a deep and passionate commitment to research 🔍. His primary interests span nonlinear analysis, functional analysis, and partial differential equations, where his insights have illuminated complex mathematical landscapes like a guiding star 🌠. He dives into the intricacies of nonlinear phenomena, stability analysis, and variational methods with remarkable clarity, solving problems that challenge even the sharpest minds. His work not only advances pure theory but also holds real-world significance—impacting physics, engineering, and computational modeling 🔧. With over 100 impactful publications, Prof. Zheng continues to push the boundaries of knowledge, transforming abstract questions into tangible advancements 🧩. His research is a harmonious blend of elegance and depth, driven by curiosity and executed with precision, making him a pioneer in the modern mathematical arena 📐.

🏅 Awards and Honors

Prof. Shenzhou Zheng’s brilliance has been recognized with a constellation of awards and honors 🌟 that highlight both his scholarly excellence and global influence. His innovative contributions have earned him national and international accolades, including distinguished research awards 🏆 and invitations to serve as a keynote speaker at elite academic forums. He has been honored by leading mathematical societies and praised for his outstanding mentorship, editorial service, and transformative research 📣. Whether being celebrated for a landmark publication or applauded for leadership in collaborative projects, Prof. Zheng’s trophy shelf reflects a career of relentless excellence and dedication 🎖️. His name is synonymous with quality, innovation, and academic integrity—a living testament to how passion for mathematics can shape and inspire entire communities 💡.

Conclusion

Prof. Shenzhou Zheng is more than a mathematician—he is a visionary, a mentor, and a global ambassador of mathematical excellence 🌏. Through his groundbreaking research, impactful teaching, and inspirational leadership, he has built a legacy that transcends borders and disciplines 🧭. His journey from a curious student to a renowned scholar showcases the power of persistence, precision, and passion 🎯. Whether in the lecture hall, the research lab, or the pages of international journals, his influence continues to ripple through the mathematical world. As he forges ahead, unlocking new dimensions of knowledge, Prof. Zheng remains a beacon 🔥 for aspiring mathematicians and a pillar of the global academic community. In every sense, his story is a symphony of intellect, dedication, and profound impact—a masterpiece still in progress 🎶.

Publications Top Notes

🔹 Title: Higher Fractional Differentiability for Solutions to Parabolic Equations with Double-Phase Growth
 👨‍🔬 Authors: Lijing Zhao & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Nonlinear Analysis: Real World Applications
 ✨ Note: Explores advanced smoothness in parabolic PDEs with double-phase growth! 🌊📐

🔹 Title: Higher Differentiability for Minimizers of Variational Obstacle Problems with Orlicz Growth
 👨‍🔬 Authors: Lijing Zhao & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Journal of Mathematical Analysis and Applications
 🧩 Note: Deep insights into Orlicz growth in obstacle variational problems! 🧠🔍

🔹 Title: On the Number of Normalized Solutions for a Fractional Schrödinger Problem with Logarithmic Nonlinearity
 👨‍🔬 Authors: Xiaolu Lin & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Communications in Nonlinear Science and Numerical Simulation
 💡 Note: Fractional Schrödinger equation meets quantum nonlinearity! ⚛️🌌

🔹 Title: Qualitative Uncertainty Principles for the Nonisotropic Angular Stockwell Transforms
 👨‍🔬 Authors: Xinyu Wang & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Mathematical Methods in the Applied Sciences
 🎯 Note: Angular transforms redefine uncertainty principles! 🔭🎶

🔹 Title: On a Schrödinger Equation Involving Fractional (N/s₁, q)-Laplacian with Critical Growth and Trudinger–Moser Nonlinearity
 👨‍🔬 Authors: Huilin Lv & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 1
 📚 Source: Communications in Nonlinear Science and Numerical Simulation
 🚀 Note: Blends critical growth and fractional quantum analysis! 🌠📊

🔹 Title: The Solvability and Regularity Results for Elliptic Equations Involving Mixed Local and Nonlocal p-Laplacian
 👨‍🔬 Authors: Jiaxiang Zhang & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 1
 📚 Source: Journal of Elliptic and Parabolic Equations
 🧮 Note: Local meets nonlocal—unraveling elliptic mysteries! ⚖️📈

🔹 Title: On Benedicks–Amrein–Berthier Uncertainty Principles for Continuous Quaternion Wavelet Transform
 👨‍🔬 Authors: Xinyu Wang & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 2
 📚 Source: Mathematical Methods in the Applied Sciences
 🌀 Note: A quaternionic twist on classic wavelet uncertainty! 🎨🔁

🔹 Title: Tighter Uncertainty Principles Associated with the Non-Isotropic Angular Stockwell Transform
 👨‍🔬 Authors: Xinyu Wang & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 2
 📚 Source: Circuits, Systems, and Signal Processing
 🎼 Note: Fine-tuning precision in signal processing frameworks! 📡🛠️

🔹 Title: Boundedness for the Chemotaxis System in a Flux Limitation with Indirect Signal Production
 👨‍🔬 Authors: Huilin Lv & Shenzhou Zheng
 📅 Year: 2024
 📚 Source: Journal of Mathematical Analysis and Applications
 🧬 Note: Mathematical modeling of biological signal behaviors! 🌿⚗️

🔹 Title: Besov Regularity for a Class of Elliptic Obstacle Problems with Double-Phase Orlicz Growth
 👨‍🔬 Authors: Lijing Zhao & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 4
 📚 Source: Journal of Mathematical Analysis and Applications
 📏 Note: An elegant blend of Besov spaces and Orlicz techniques! 🧗‍♂️🧾

Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

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

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

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

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

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

Professional Experience

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

Research Interests

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

Awards and Honors

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

Conclusion

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

Publications Top Noted

 

 

 

Muhammad Marwan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Marwan | Applied Mathematics | Best Researcher Award

Associate professor at Linyi university, China

Dr. Marwan Muhammad is a distinguished researcher in applied mathematics, specializing in bifurcation theory, chaos, fractals, mobile chaotic robots, control theory, synchronization, and secure communication. With an H-index of 11, he has published extensively in high-impact journals such as Fractals, Nonlinear Dynamics, and IEEE-IoT. Currently an Associate Professor at Linyi University, China, he has over a decade of teaching and research experience, including a postdoctoral fellowship at Zhejiang Normal University (ZJNU). His work integrates mathematical theory with practical applications in cryptography, robotics, and UAV dynamics. Dr. Muhammad has successfully supervised multiple Master’s students and collaborated on funded research projects. His global academic exposure, particularly in China and Pakistan, enhances his research perspective. While his contributions are significant, further international collaborations, industry engagement, and competitive research grants would solidify his standing as a leading expert in computational and applied mathematics.

Professional Profile

Google Scholar
ORCID Profile

Education

Dr. Marwan Muhammad holds a Ph.D. in Applied Mathematics from the Institute of Space Technology, Pakistan, where he specialized in nonlinear dynamics and stability analysis. His doctoral research focused on applying nonlinear tools to chaotic systems. He earned an M.S. in Mathematics from COMSATS Institute of Information Technology, Pakistan, with a thesis on Fejér-Hadamard inequalities for convex functions. His academic journey began with a B.S. in Mathematics from Islamia College University, Peshawar, where he was awarded a Gold Medal for his outstanding performance. His early education includes an HSSC and SSC from the Peshawar Board, securing top grades. Throughout his academic career, Dr. Muhammad demonstrated a strong foundation in theoretical and applied mathematics, equipping him with the expertise needed to excel in research and teaching. His education has played a pivotal role in shaping his research trajectory, particularly in bifurcation theory, chaos, fractals, and control systems.

Professional Experience

Dr. Marwan Muhammad has over a decade of experience in academia and research. He is currently an Associate Professor at Linyi University, China, where he teaches and supervises research in applied mathematics. Previously, he completed a postdoctoral fellowship at Zhejiang Normal University (ZJNU), China, focusing on advanced topics in nonlinear dynamics. His professional journey includes serving as a Lecturer at Islamabad Model Postgraduate College, Riphah International University, and the Higher Education Department of Peshawar. His teaching portfolio covers a broad range of mathematical disciplines, including computational mathematics, dynamical systems, and mathematical modeling. Additionally, he has worked on a research project funded by the Higher Education Commission (HEC) of Pakistan, leading to several high-impact publications. His international exposure, particularly in China and Pakistan, has enriched his academic perspective, allowing him to integrate diverse mathematical techniques into his research and contribute significantly to the global scientific community.

Research Interest

Dr. Marwan Muhammad’s research focuses on nonlinear dynamics, bifurcation theory, chaos, fractals, control theory, synchronization, and secure communication. His work in mobile chaotic robots and multi-scroll attractors has applications in cryptography, robotics, and artificial intelligence. He is particularly interested in the mathematical modeling of complex systems, including UAV dynamics, plasma systems, and satellite chaotic systems. His contributions extend to fractional calculus, where he has analyzed tumor-immune interactions and porous medium equations. His research also explores numerical methods for solving chaotic systems, emphasizing computational efficiency and accuracy. Dr. Muhammad’s interdisciplinary approach integrates mathematics, physics, and engineering, leading to innovative solutions for real-world problems. His recent publications in journals like Fractals and Nonlinear Dynamics demonstrate his ability to bridge theoretical insights with practical applications, positioning him as a key contributor to the fields of computational and applied mathematics.

Awards and Honors

Dr. Marwan Muhammad has been recognized for his academic excellence and research contributions. He was awarded a Gold Medal for securing the highest distinction in his undergraduate studies at Islamia College University, Peshawar. His research has been published in prestigious journals, highlighting his impact in the field of applied mathematics. His contributions to nonlinear dynamics and chaotic systems have earned him invitations to collaborate on international research projects. Additionally, his supervision of Master’s students and successful research collaborations reflect his commitment to academic mentorship. His work has received recognition from funding agencies such as the Higher Education Commission (HEC) of Pakistan, under which he successfully led research projects. While his accolades are notable, continued participation in international awards, securing competitive research grants, and expanding collaborations with leading global institutions would further elevate his reputation as a distinguished researcher in computational and applied mathematics.

Conclusion

Dr. Marwan Muhammad is an accomplished mathematician whose research in nonlinear dynamics, chaos, and fractals has significantly contributed to applied mathematics. With a strong educational foundation, international research experience, and extensive teaching background, he has established himself as a key figure in computational mathematics. His work has practical applications in cryptography, robotics, and control systems, making it relevant to both academia and industry. While his publications and collaborations are impressive, expanding his research network, securing additional funding, and engaging in interdisciplinary projects could further enhance his impact. His dedication to mentoring students and advancing mathematical knowledge underscores his potential for continued success. With sustained efforts, Dr. Muhammad is poised to become a leading authority in his field, driving innovation and discovery in mathematical sciences.

Publications Top Noted

  • Coexisting attractor in a gyrostat chaotic system via basin of attraction and synchronization of two nonidentical mechanical systems
    Authors: M. Marwan, V. Dos Santos, M.Z. Abidin, A. Xiong
    Year: 2022
    Citations: 11
    Source: Mathematics, 10(11), 1914

  • Retardational effect and Hopf bifurcations in a new attitude system of quad-rotor unmanned aerial vehicle
    Authors: M. Fiaz, M. Aqeel, M. Marwan, M. Sabir
    Year: 2021
    Citations: 11
    Source: International Journal of Bifurcation and Chaos, 31(09), 2150127

  • Control and numerical analysis for cancer chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, M. Shaukat
    Year: 2020
    Citations: 11
    Source: Archive of Applied Mechanics, 90, 2597-2608

  • Image cryptography communication using FPAA-based multi-scroll chaotic system
    Authors: K. Karawanich, J. Chimnoy, F. Khateb, M. Marwan, P. Prommee
    Year: 2024
    Citations: 8
    Source: Nonlinear Dynamics, 112(6), 4951-4976

  • Hopf bifurcation analysis for liquid-filled gyrostat chaotic system and design of a novel technique to control slosh in spacecrafts
    Authors: M. Sabir, S. Ahmad, M. Marwan
    Year: 2021
    Citations: 8
    Source: Open Physics, 19(1), 539-550

  • Investigation of fractional-ordered tumor-immune interaction model via fractional-order derivative
    Authors: G. Ali, M. Marwan, U.U. Rahman, M. Hleili
    Year: 2024
    Citations: 7
    Source: Fractals, 32(06), 1-10

  • Generalized Full Order Observer Subject to Incremental Quadratic Constraint (IQC) for a Class of Fractional Order Chaotic Systems
    Authors: M. Marwan, M.Z. Abidin, H. Kalsoom, M. Han
    Year: 2022
    Citations: 7
    Source: Fractal and Fractional, 6(4), 189

  • Generation of multi-scrolls in coronavirus disease 2019 (COVID-19) chaotic system and its impact on the zero-COVID policy
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 6
    Source: Scientific Reports, 13, 13954

  • Novel approaches for solving fuzzy fractional partial differential equations
    Authors: M. Osman, Y. Xia, M. Marwan, O.A. Omer
    Year: 2022
    Citations: 6
    Source: Fractal and Fractional, 6(11), 656

  • Montgomery identity and Ostrowski-type inequalities for generalized quantum calculus through convexity and their applications
    Authors: H. Kalsoom, M. Vivas-Cortez, M.Z. Abidin, M. Marwan, Z.A. Khan
    Year: 2022
    Citations: 6
    Source: Symmetry, 14(7), 1449

  • Adaptive observer design for systems with incremental quadratic constraints and nonlinear outputs—application to chaos synchronization
    Authors: L. Moysis, M. Tripathi, M.K. Gupta, M. Marwan, C. Volos
    Year: 2022
    Citations: 6
    Source: Archives of Control Sciences, 32

  • Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization
    Authors: M. Marwan, F. Li, S. Ahmad, N. Wang
    Year: 2025
    Citations: 5
    Source: Nonlinear Dynamics, 113(3), 2377-2390

  • Chaotic behavior of Lorenz-based chemical system under the influence of fractals
    Authors: M. Marwan, A. Xiong, M. Han, R. Khan
    Year: 2024
    Citations: 4
    Source: Match Communications in Mathematical and Computer Chemistry, 91(2), 307-336

  • Control analysis of virotherapy chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, A. Rafiq
    Year: 2022
    Citations: 4
    Source: Journal of Biological Dynamics, 16(1), 585-595

  • Hidden covers (wings) in the fractals of chaotic systems using advanced Julia function
    Authors: M. Marwan, M. Han, M. Osman
    Year: 2023
    Citations: 3
    Source: Fractals, 31(09), 2350125

  • Generalized external synchronization of networks based on clustered pandemic systems—The approach of COVID-19 towards influenza
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 3
    Source: PLOS ONE, 18(10), e0288796

  • Existence of Solution and Self‐Exciting Attractor in the Fractional‐Order Gyrostat Dynamical System
    Authors: M. Marwan, G. Ali, R. Khan
    Year: 2022
    Citations: 3
    Source: Complexity, 2022(1), 3505634

  • On the analytical approach of codimension-three degenerate Bogdanov-Takens (BT) bifurcation in satellite dynamical system
    Authors: M. Marwan, M.Z. Abidin
    Year: 2023
    Citations: 2
    Source: Journal of Nonlinear Modeling and Analysis

  • On the global well-posedness of rotating magnetohydrodynamics equations with fractional dissipation
    Authors: M.Z. Abidin, M. Marwan, H. Kalsoom, O.A. Omer
    Year: 2022
    Citations: 2
    Source: Fractal and Fractional, 6(6), 340

  • Semi-analytical analysis of a fractional-order pandemic dynamical model using non-local operator
    Authors: M. Marwan, G. Ali, F. Li, S.A.O. Abdallah, T. Saidani
    Year: 2025
    Source: Fractals

 

Hua Chen | Differential Equations (Ordinary and Partial) | Best Researcher Award

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Prof. Dr. Hua Chen | Differential Equations (Ordinary and Partial) | Best Researcher Award

Distinguished Professor in Mathematics at Wuhan University, China

Dr. Hua Chen is a distinguished mathematician and a leading expert in partial differential equations, spectral asymptotics, and microlocal analysis. Born in 1956 in Wuhan, China, he earned his Ph.D. from Wuhan University in 1986 and has since had a prolific academic career, currently serving as a Distinguished Professor at the same institution. With extensive research contributions spanning over four decades, Dr. Chen has made significant advancements in the theory of elliptic and Schrödinger operators, singular and degenerate PDEs, and reaction-diffusion equations. He has authored numerous high-impact publications in prestigious mathematical journals and has held editorial positions in various international and Chinese mathematical journals. His global collaborations and contributions to mathematical sciences, including roles as an editor and researcher, underscore his influence in the field. Dr. Chen’s scholarly excellence, leadership, and dedication to advancing mathematical research make him a strong candidate for the Best Researcher Award.

Professional Profile 

Scopus Profile

Education

Dr. Hua Chen received his Ph.D. in Mathematics from Wuhan University in 1986, specializing in partial differential equations and spectral theory. His academic journey began with a Bachelor’s degree in Mathematics from Wuhan University in 1980, followed by a Master’s degree in 1983. During his doctoral studies, he focused on microlocal analysis and spectral asymptotics, laying the foundation for his future research. Throughout his education, he trained under leading mathematicians and developed a strong analytical approach to solving complex mathematical problems. His rigorous academic training equipped him with expertise in elliptic operators, Schrödinger equations, and reaction-diffusion systems. Dr. Chen also pursued postdoctoral research at internationally renowned institutions, further refining his skills and expanding his knowledge. His commitment to continuous learning and research excellence has played a crucial role in his contributions to modern mathematics, establishing him as a respected figure in the global mathematical community.

Professional Experience

Dr. Hua Chen has had a distinguished academic career spanning over four decades, contributing significantly to mathematical sciences. He began his professional journey as a faculty member at Wuhan University, where he steadily rose through the ranks to become a Distinguished Professor. He has held visiting positions at top universities and research institutes worldwide, collaborating with leading experts in mathematical analysis. Dr. Chen has served as an advisor to numerous Ph.D. students, mentoring the next generation of mathematicians. In addition to his teaching and research, he has been an active member of editorial boards for prestigious mathematical journals, ensuring the dissemination of high-quality research. His leadership in organizing international awards and workshops has fostered global collaborations in mathematical sciences. Through his extensive professional experience, Dr. Chen has established himself as a prominent figure in the field of partial differential equations and spectral theory, making lasting contributions to mathematical research.

Research Interest

Dr. Hua Chen’s research interests lie at the intersection of partial differential equations, spectral asymptotics, and microlocal analysis. His work focuses on the theoretical and applied aspects of elliptic operators, Schrödinger equations, and singular and degenerate differential equations. He has made significant contributions to the understanding of reaction-diffusion systems, which have applications in physics, engineering, and mathematical biology. His research delves into eigenvalue problems, spectral geometry, and mathematical physics, providing new insights into fundamental mathematical structures. Dr. Chen’s studies on the behavior of solutions to PDEs under various boundary conditions have influenced modern approaches to differential operators and functional analysis. His interdisciplinary approach integrates pure and applied mathematics, bridging theoretical frameworks with real-world applications. His pioneering work in these areas has led to numerous high-impact publications, advancing the frontiers of mathematical knowledge and inspiring further research in differential equations and spectral analysis.

Awards and Honors

Dr. Hua Chen has received numerous accolades in recognition of his outstanding contributions to mathematics. He has been honored with prestigious national and international awards for his groundbreaking research in partial differential equations and spectral theory. Among his notable achievements, he has been a recipient of the National Science Fund for Distinguished Young Scholars in China, acknowledging his excellence in mathematical research. He has also been elected as a fellow of leading mathematical societies and has received distinguished professorships from renowned institutions. His research contributions have earned him invitations as a keynote speaker at major international awards, further highlighting his influence in the field. In addition to these honors, Dr. Chen has played a pivotal role in advancing mathematical sciences through his editorial and advisory positions in academic journals and research committees. His accolades reflect his dedication to advancing mathematical knowledge and his impact on the global research community.

Conclusion

Dr. Hua Chen is a highly accomplished mathematician whose contributions to partial differential equations, spectral theory, and microlocal analysis have significantly influenced the field. With a strong academic foundation from Wuhan University, he has built an illustrious career as a researcher, educator, and mentor. His extensive body of work, spanning fundamental theoretical developments and applied mathematical studies, has earned him global recognition. Dr. Chen’s leadership in research collaborations, journal editorial roles, and award organizations underscores his commitment to fostering mathematical innovation. His numerous awards and honors further affirm his excellence and influence in mathematical sciences. Through his dedication to advancing mathematical research, mentoring young scholars, and contributing to academic institutions, Dr. Chen has left a lasting impact on the global mathematical community. His outstanding career and remarkable contributions make him a deserving candidate for prestigious research awards and recognition in the field of mathematics.

Publications Top Noted

  • Liouville theorem for Lane-Emden equation of Baouendi-Grushin operators

    • Authors: Hua Chen, Xin Liao
    • Year: 2025
    • Citations: 0
    • Source: Journal of Differential Equations

  • GLOBAL CLASSICAL SOLUTIONS AND STABILIZATION FOR A CLASS OF COMPETITION MODELS WITH DENSITY-DEPENDENT MOTILITY

    • Authors: Hua Chen, Wenbin Lyu, Bo Mao
    • Year: 2025
    • Citations: 0
    • Source: Discrete and Continuous Dynamical Systems

  • Dirichlet problem for a class of nonlinear degenerate elliptic operators with critical growth and logarithmic perturbation

    • Authors: Hua Chen, Xin Liao, Ming Zhang
    • Year: 2024
    • Citations: 1
    • Source: Calculus of Variations and Partial Differential Equations

  • Multiplicity of solutions for the semilinear subelliptic Dirichlet problem

    • Authors: Hua Chen, Hongge Chen, Jinning Li, Xin Liao
    • Year: 2024
    • Citations: 1
    • Source: Science China Mathematics

  • Breast Cancer Prediction Based on Differential Privacy and Logistic Regression Optimization Model

    • Authors: Hua Chen, Nan Wang, Yuan Zhou, Mengdi Tang, Guangxing Cai
    • Year: 2023
    • Citations: 1
    • Source: Applied Sciences (Switzerland)

  • An Improved Density Peak Clustering Algorithm Based on Chebyshev Inequality and Differential Privacy

    • Authors: Hua Chen, Yuan Zhou, Kehui Mei, Mengdi Tang, Guangxing Cai
    • Year: 2023
    • Citations: 5
    • Source: Applied Sciences (Switzerland)

  • Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy

    • Authors: Hua Chen, Kehui Mei, Yuan Zhou, Nan Wang, Guangxing Cai
    • Year: 2023
    • Citations: 3
    • Source: IEEE Access

  • A Density Peaking Clustering Algorithm for Differential Privacy Preservation

    • Authors: Hua Chen, Kehui Mei, Yuan Zhou, Mengdi Tang, Guangxing Cai
    • Year: 2023
    • Citations: 6
    • Source: IEEE Access

  • A New Density Peak Clustering Algorithm With Adaptive Clustering Center Based on Differential Privacy

    • Authors: Hua Chen, Yuan Zhou, Kehui Mei, Nan Wang, Guangxing Cai
    • Year: 2023
    • Citations: 8
    • Source: IEEE Access

Halima Bensmail | Applied Mathematics | Best Researcher Award

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Prof. Dr. Halima Bensmail | Applied Mathematics | Best Researcher Award

Principal scientist at Qatar Computing Research Institute, Qatar

Dr. Halima Bensmail is a distinguished Principal Scientist at the Qatar Computing Research Institute, specializing in machine learning, bioinformatics, biostatistics, and statistical modeling. With a Ph.D. in Statistics (Summa Cum Laude) from the University Pierre & Marie Curie, she has made significant contributions to Bayesian inference, multivariate analysis, and precision medicine. She has an impressive research record with an H-index of 31, i10-index of 54, and around 140 publications in prestigious journals such as Nature Communications, JASA, and IEEE TNNLS. As the founder of the Statistical Machine Learning and Bioinformatics group at QCRI, she has led groundbreaking projects, including the development of open-source data-driven tools like the PRISQ pre-diabetes screening model and MCLUST clustering algorithm. With extensive academic experience in the USA, France, and the Netherlands, she has mentored numerous postdocs and students, shaping the next generation of researchers. Her expertise and leadership make her a key figure in data science and precision health.

Professional Profile 

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Education

Dr. Halima Bensmail holds a Ph.D. in Statistical Machine Learning (Summa Cum Laude) from the University Pierre & Marie Curie (Paris 6), where she specialized in Bayesian inference, spectral decomposition, and mixture models. Her thesis focused on deterministic and Bayesian model-based clustering and classification for data science applications. Prior to that, she earned an M.S. in Machine Learning from the same university, with a focus on probability, financial modeling, and stochastic processes. She also holds a Bachelor’s degree in Applied Mathematics and Statistics from the University Mohammed V in Morocco, where she gained expertise in numerical analysis, stochastic processes, topology, and mathematical programming. Throughout her academic journey, she was mentored by esteemed professors and developed a strong foundation in theoretical and applied statistics. Her educational background has laid the groundwork for her pioneering research in machine learning, bioinformatics, and data-driven modeling for real-world applications.

Professional Experience

Dr. Bensmail is currently a Principal Scientist at the Qatar Computing Research Institute (QCRI), where she leads research in bioinformatics, statistical machine learning, and artificial intelligence. She also serves as a Full Professor in the College of Science and Engineering at Hamad Bin Khalifa University and a Visiting Full Professor at Texas A&M University at Qatar. Previously, she held tenured faculty positions at Virginia Medical School and the University of Tennessee, where she contributed significantly to public health and business administration research. She has also worked as a Research Scientist at the University of Leiden, a scientist at the Fred Hutchinson Cancer Research Center, and a postdoctoral researcher at the University of Washington. With decades of experience across academia and research institutions in the U.S., Europe, and the Middle East, she has built expertise in developing statistical and AI-driven solutions for biomedical and computational challenges.

Research Interests

Dr. Bensmail’s research spans statistical machine learning, bioinformatics, and precision medicine. She has developed novel clustering algorithms, such as an advanced Bayesian clustering model implemented in the MCLUST package, and statistical methods for analyzing Next-Generation Sequencing (NGS) data. She is also interested in computational biology, specifically protein-protein interactions, protein solubility, and structural biology. Her work includes dimensionality reduction techniques like nonnegative matrix factorization and discriminative sparse coding for domain adaptation. In the field of precision medicine, she has designed PRISQ, a statistical model for pre-diabetes screening. Her broader interests include Bayesian statistics, functional data analysis, information theory, and high-dimensional data modeling. With a strong focus on developing real-world data-driven tools, she actively contributes to statistical methodologies that enhance decision-making in medicine, genomics, and artificial intelligence applications.

Awards and Honors

Dr. Bensmail has received numerous accolades for her contributions to machine learning, bioinformatics, and statistical modeling. Her work has been widely recognized, with over 140 peer-reviewed publications and an H-index of 31, demonstrating the impact of her research. She has secured research grants and led major projects in AI-driven healthcare solutions. Her contributions to the field have been acknowledged through invitations to serve as a keynote speaker at international awards and as an editorial board member for high-impact journals. She has also been instrumental in mentoring young researchers, postdoctoral fellows, and doctoral students, fostering the next generation of scientists in AI, statistics, and bioinformatics. Additionally, her work on statistical methods for precision medicine and biomedical informatics has gained international recognition, positioning her as a leading expert in the field of data science for healthcare and computational biology.

Conclusion

Dr. Halima Bensmail is a pioneering researcher in machine learning, statistical modeling, and bioinformatics, with a career spanning leading institutions in the U.S., Europe, and the Middle East. Her contributions to clustering algorithms, high-dimensional data analysis, and precision medicine have made a lasting impact on the fields of AI and computational biology. As a mentor and leader, she has shaped numerous young scientists and postdocs, driving innovation in data science applications. With a robust publication record, influential research projects, and a dedication to developing real-world AI-driven solutions, she stands as a leading figure in statistical machine learning. Her expertise and contributions continue to push the boundaries of knowledge in bioinformatics, artificial intelligence, and healthcare analytics, making her a strong candidate for prestigious research awards and recognition in scientific communities worldwide.

Publications Top Noted

 

Teodor Bulboaca | Pure Mathematics | Excellence in Research

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Prof. Dr. Teodor Bulboaca | Pure Mathematics | Excellence in Research

Professor at Babes-Bolyai University, Romania

Prof. Teodor Bulboacă is a distinguished mathematician specializing in Complex Analysis and Geometric Function Theory. A full professor at Babeş-Bolyai University, he holds a Doctor of Science (2015) and a Ph.D. in Mathematics (1991), supervised by Prof. Dr. Petru T. Mocanu. With extensive research contributions in differential subordinations and univalent functions, he has significantly advanced the field. A dedicated educator, he has decades of teaching experience, mentoring undergraduate, master’s, and Ph.D. students. He actively participates in international awards, serving as an organizer and scientific committee member. His expertise is recognized through memberships in AMS, the Romanian Society of Mathematical Sciences, and the Hungarian Academy of Sciences. He has also contributed as an expert evaluator for Romania’s National University Research Council. His ongoing work continues to influence mathematical analysis, though expansion into interdisciplinary applications and high-impact collaborations could further enhance his global research impact.

Professional Profile 

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Education

Prof. Teodor Bulboacă has an extensive academic background in mathematics, earning his Ph.D. in Mathematical Analysis (1991) from Babeş-Bolyai University, under the supervision of Prof. Dr. Petru T. Mocanu, a member of the Romanian Academy. His doctoral research focused on differential subordinations and applications in the theory of univalent functions. In 2015, he obtained a Doctor of Science degree, further solidifying his contributions to the field. His formal education began with undergraduate studies at the Faculty of Mathematics and Computer Science, Babeş-Bolyai University (1974-1979). Prior to that, he completed his high school education at I. Slavici High School, Arad (1970-1974). With a strong foundation in complex analysis, topology, and geometric function theory, Prof. Bulboacă has built a distinguished academic and research career. His deep expertise in applied mathematical analysis has played a pivotal role in advancing theoretical developments and mathematical problem-solving methodologies.

Professional Experience

Prof. Teodor Bulboacă has had an illustrious academic career spanning over four decades. Since 2000, he has served as a full professor at the Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania. Previously, he was an associate professor (1995-2000) at the same institution and also held a similar position at Aurel Vlaicu University, Arad (1994-1995). His academic journey began as an assistant professor (1990-1994) at Aurel Vlaicu University. Throughout his career, he has taught diverse courses, including Complex Analysis, Geometric Function Theory, Real Functions, and Applications of Complex Numbers in Geometry. Additionally, he has supervised bachelor’s, master’s, and Ph.D. theses, guiding students in mathematical research. As an active contributor to the academic community, he has been a scientific committee member for numerous international awards and an expert evaluator for the Romanian National University Research Council from 2006 to 2009.

Research Interest

Prof. Teodor Bulboacă specializes in Complex Analysis and Geometric Function Theory, with a primary focus on differential subordinations and univalent functions. His research explores fundamental mathematical properties within 30C15 (Geometric function theory) and 30C80 (Special classes of univalent and multivalent functions) in the Mathematics Subject Classification (MSC). He has made substantial contributions to geometric function theory, analytic functions, and mathematical inequalities, influencing theoretical developments and their applications. His research has interdisciplinary implications, with potential extensions into mathematical physics, data science, and computational modeling. He has collaborated with esteemed mathematicians and actively participates in international mathematical awards, where he presents groundbreaking findings. By integrating modern computational techniques with classical analysis, his work continues to shape advancements in mathematical theory and applied problem-solving methodologies. Future directions in his research could include machine learning-based mathematical modeling and complex network theory applications.

Awards and Honors

Prof. Teodor Bulboacă is recognized for his outstanding contributions to mathematics through numerous academic memberships and honors. He has been a member of the American Mathematical Society (AMS) since 2000, the Romanian Society of Mathematical Sciences since 1979, and the Public-Law Association of the Hungarian Academy of Sciences since 2000. His expertise has been acknowledged through his evaluation roles in the Romanian National University Research Council (2006-2009), where he assessed and guided national-level research projects. He has also played a key role in the scientific and organizing committees of major international mathematical awards, further highlighting his global academic influence. While his research impact is widely recognized in mathematical circles, an increased presence in prestigious international awards, fellowships, and interdisciplinary collaborations could further solidify his legacy. His longstanding commitment to education and research makes him a highly respected figure in complex analysis and applied mathematics.

Conclusion

Prof. Teodor Bulboacă is an accomplished mathematician whose research in complex analysis, geometric function theory, and differential subordinations has significantly contributed to the field. With a distinguished academic career spanning over four decades, he has played a pivotal role in teaching, mentoring, and advancing mathematical knowledge. His involvement in national and international research initiatives, professional organizations, and award committees underscores his commitment to the global mathematical community. While his contributions are widely recognized, expanding his research into interdisciplinary areas such as mathematical modeling, data science, and applied machine learning could enhance his impact even further. His dedication to mentoring young researchers ensures that his legacy will continue through the next generation of mathematicians. As he remains an active contributor to mathematical research and education, his work will continue to influence advancements in analytical and geometric function theories for years to come.

Publications Top Noted