Shijie Zhao | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Shijie Zhao | Applied Mathematics | Best Researcher Award

Associate Professor at Liaoning Technical University, China

Assoc. Prof. Dr. Shijie Zhao is a distinguished researcher and academic at the Institute of Intelligence Science and Optimization, Liaoning Technical University, China. With a Ph.D. in Optimization and Management Decisions, his expertise lies in metaheuristic optimization, multi-objective optimization, and underwater navigation and positioning. He has made significant contributions through innovative algorithm designs and novel mathematical models, particularly in high-dimensional feature selection and robust navigation techniques. Dr. Zhao has published 9 SCI-indexed journal articles and participated in over 10 nationally and provincially funded research projects. He serves as a reviewer for leading journals including those by Elsevier, Springer, and IEEE, and holds memberships in 13 professional bodies. With strong programming skills, rigorous analytical thinking, and a commitment to scientific innovation, Dr. Zhao has also earned four research awards. His work bridges theoretical mathematics and practical applications, making him a valuable contributor to the global research community in intelligent systems and optimization.

Professional Profile 

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Education

Assoc. Prof. Dr. Shijie Zhao has a robust academic foundation anchored at Liaoning Technical University, China. He earned his B.S. degree in Science of Information & Computation in 2012, followed by a successive postgraduate and doctoral program in Mathematics and Applied Mathematics from 2012 to 2014. He went on to complete his Ph.D. in Optimization and Management Decisions in 2018. His educational trajectory highlights a deep commitment to the field of mathematical optimization and intelligent systems. Dr. Zhao’s academic excellence is also reflected in his ability to integrate theoretical knowledge with practical problem-solving, laying a strong foundation for his future research. His interdisciplinary approach blends pure mathematics with applied optimization techniques, making him uniquely positioned to contribute to emerging challenges in computational intelligence, machine learning, and navigation systems. His comprehensive training has equipped him with skills in advanced mathematical modeling, algorithm design, and statistical analysis—all crucial for his research trajectory.

Professional Experience

Dr. Shijie Zhao began his professional journey as a faculty member at Liaoning Technical University, where he is now serving as an Associate Professor and Director of the Institute of Intelligence Science and Optimization. Since 2012, he has progressed through a series of academic roles, including a postdoctoral tenure beginning in 2020. He has successfully led and participated in a range of scientific research projects sponsored by institutions such as the China Postdoctoral Science Foundation and the Department of Science & Technology of Liaoning Province. In addition to his teaching responsibilities, he has been actively involved in administrative, academic, and research leadership roles. Dr. Zhao has served as a reviewer for numerous high-impact international journals and conferences and has editorial roles in reputed scientific publications. His contributions to collaborative and interdisciplinary projects underscore his ability to bridge research and real-world applications, enhancing his standing as a key contributor in intelligent systems research.

Research Interest

Assoc. Prof. Dr. Shijie Zhao’s research interests lie at the intersection of intelligent optimization, computational mathematics, and advanced data analytics. He specializes in the development and enhancement of metaheuristic and multi-objective optimization algorithms, addressing both theoretical and application-driven challenges. His work has pioneered novel strategies for high-dimensional feature selection and optimization in machine learning contexts. Another key area of his focus is underwater navigation and positioning, where he has introduced innovative models for enhancing gravity navigation accuracy. With a strong foundation in mathematics, Dr. Zhao combines theoretical rigor with practical applicability, ensuring that his research contributes both to academic knowledge and technological development. His recent work explores how optimization strategies can be integrated into real-time systems, with implications in robotics, autonomous navigation, and engineering design. By addressing complex computational problems, Dr. Zhao’s research plays a vital role in driving forward the capabilities of intelligent systems and adaptive algorithms.

Award and Honor

Dr. Shijie Zhao has earned multiple accolades in recognition of his impactful contributions to scientific research and innovation. He has received four prestigious research awards for his work in intelligent systems, mathematical optimization, and applied computational modeling. His leadership in various national and provincial research initiatives has further cemented his reputation as a top-tier researcher in his domain. In addition to these honors, he has held editorial and reviewer positions for over ten internationally recognized journals, including publications by IEEE, Springer, and Elsevier—an acknowledgment of his expertise and academic integrity. Dr. Zhao is also an active member of 13 professional bodies, reflecting his global engagement and scholarly influence. His participation in high-impact collaborative projects and his growing citation index underscore the recognition and respect he commands in the research community. These honors validate his innovative spirit and unwavering dedication to advancing knowledge in mathematics and intelligent computing.

Conclusion

In conclusion, Assoc. Prof. Dr. Shijie Zhao exemplifies excellence in mathematical research, optimization theory, and intelligent system applications. His educational background, combined with over a decade of professional experience, positions him as a thought leader in his field. Through pioneering contributions to metaheuristic algorithms, multi-objective optimization, and underwater navigation, he bridges the gap between theoretical frameworks and practical technologies. His commitment to research integrity, academic service, and innovation has earned him widespread recognition and professional accolades. As an educator, leader, and scientist, Dr. Zhao’s multifaceted contributions reflect a deep dedication to advancing scientific knowledge and solving complex global challenges. His future endeavors are poised to have even greater impacts on the fields of artificial intelligence, data-driven decision-making, and intelligent navigation. With a strong publication record, a solid foundation in mathematics, and an expanding research network, Dr. Zhao continues to be a prominent and influential figure in the global academic landscape.

Publications Top Notes

  • Title: ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation
    Authors: Shijie Zhao, Zhiyuan Dou, Huizhong Zhu, Wei Zheng, Yifan Shen
    Year: 2025
    Source: IEEE Internet of Things Journal

  • Title: OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
    Authors: Shijie Zhao, Tianran Zhang, Lei Zhang, Jinling Song
    Year: 2025
    Source: Swarm and Evolutionary Computation

  • Title: Mirage search optimization: Application to path planning and engineering design problems
    Authors: Jiahao He, Shijie Zhao, Jiayi Ding, Yiming Wang
    Year: 2025
    Source: Advances in Engineering Software

  • Title: Twin-population Multiple Knowledge-guided Transfer Prediction Framework for Evolutionary Dynamic Multi-Objective Optimization
    Authors: Shijie Zhao, Tianran Zhang, Miao Chen, Lei Zhang
    Year: 2025
    Source: Applied Soft Computing

  • Title: VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for multi- and many-objective optimization algorithm
    Authors: Shijie Zhao, Shilin Ma, Tianran Zhang, Miao Chen
    Year: 2025
    Source: Expert Systems with Applications

  • Title: A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2024
    Source: IEEE Geoscience and Remote Sensing Letters

  • Title: Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Liang Cai, Ronghua Yang
    Year: 2024
    Source: Expert Systems with Applications

  • Title: Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Transactions on Instrumentation and Measurement

  • Title: A dynamic support ratio of selected feature-based information for feature selection
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2023
    Source: Engineering Applications of Artificial Intelligence

  • Title: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Mengchen Wang
    Year: 2023
    Source: Applied Intelligence

  • Title: Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Sensors Journal

  • Title: A feature selection method via relevant-redundant weight
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2022
    Source: Expert Systems with Applications

  • Title: Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Miao Chen
    Year: 2022
    Source: Engineering Applications of Artificial Intelligence

  • Title: Improving Matching Efficiency and Out-of-domain Reliability of Underwater Gravity Matching Navigation Based on a Novel Soft-margin Local Semicircular-domain Re-searching Model
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2022
    Source: Remote Sensing

  • Title: Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu
    Year: 2021
    Source: Remote Sensing

  • Title: A Novel Quantum Entanglement‐Inspired Meta‐heuristic Framework for Solving Multimodal Optimization Problems
    Authors: Shijie Zhao
    Year: 2021
    Source: Chinese Journal of Electronics

  • Title: A Novel Modified Tree‐Seed Algorithm for High‐Dimensional Optimization Problems
    Authors: Shijie Zhao
    Year: 2020
    Source: Chinese Journal of Electronics

 

Najmeddine Attia | Pure Mathematics | Best Researcher Award

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Assoc. Prof. Dr Najmeddine Attia | Pure Mathematics | Best Researcher Award

Associate professor at King faisal university, Saudi Arabia

Najmeddine Attia is a distinguished mathematician specializing in multifractal analysis, probability theory, and fractal geometry. He holds a PhD in Mathematics from the University Paris-Nord 13 and INRIA Rocquencourt and has earned a University Habilitation in Mathematics. Currently an Assistant Professor at King Faisal University, he has previously held academic positions in Tunisia and France. His research contributions include extensive work on the asymptotic behavior of branching random walks and Hausdorff dimensions. Attia has supervised multiple master’s and PhD students, fostering the next generation of mathematicians. He has authored several books on probability and statistics and has been recognized with awards such as the Researcher Prize from King Faisal University (2024) and the Young Researcher Prize from Beit Al-Hikma (2020). Actively engaged in scientific awards and collaborations, his work continues to advance mathematical research while contributing to academia through teaching and mentorship.

Professional Profile 

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🎓 Education

Najmeddine Attia holds an impressive academic background in mathematics, specializing in multifractal analysis and probability theory. He earned his PhD in Mathematics from the University Paris-Nord 13 and INRIA Rocquencourt, focusing on the asymptotic behavior of branching random walks and Hausdorff dimensions. Prior to this, he completed a Diploma of Advanced Studies in Mathematics at the Faculty of Sciences of Monastir in collaboration with Paris-INRIA Rocquencourt. His foundational education includes a Diploma in Mathematics, where he graduated as the top student. In 2020, he achieved a University Habilitation in Mathematics from the University of Monastir, further solidifying his expertise. His academic journey reflects a deep commitment to advanced mathematical research, equipping him with the analytical and theoretical skills necessary for high-impact contributions in probability, fractal geometry, and applied mathematics. His continuous academic pursuits have positioned him as a leading figure in his research domain.

👨‍🏫 Professional Experience

Dr. Attia has built a distinguished career in academia, with teaching and research roles across multiple institutions. Currently, he serves as an Assistant Professor at King Faisal University, Saudi Arabia, where he contributes to the development of mathematical research and education. Before this, he was an Associate Professor at the Faculty of Sciences of Monastir, Tunisia, where he spent nearly a decade mentoring students and leading research initiatives. His professional journey also includes teaching positions at prestigious French institutions such as the University of Paris Sud (Orsay) and the University Pierre et Marie Curie (Paris 6), where he refined his expertise in applied mathematics and probability theory. Throughout his career, he has supervised numerous master’s and PhD students, fostering intellectual growth in the next generation of mathematicians. His global academic presence reflects his dedication to advancing mathematical sciences and bridging research collaborations across international institutions.

📊 Research Interests

Dr. Attia’s research revolves around multifractal analysis, probability theory, fractal geometry, and statistical inference. His groundbreaking work includes the study of branching random walks, Hausdorff and packing dimensions, and the multifractal structure of measures. His contributions extend to the mathematical foundation of Renyi dimensions, vectorial multifractal analysis, and statistical modeling of complex systems. His research is not only theoretical but also finds applications in data science, stochastic processes, and interdisciplinary studies involving fractal mathematics. As an active researcher, he has collaborated on international projects, including an Erasmus+ research initiative connecting Tunisia and Slovakia. His passion for mathematical exploration is evident in his numerous publications, scientific talks, and award participations. Through his research, Dr. Attia continues to push the boundaries of applied and theoretical mathematics, making significant contributions to both academia and industry applications in complex systems and statistical modeling.

🏆 Awards & Honors

Dr. Najmeddine Attia’s excellence in mathematical research has been recognized through prestigious awards. In 2024, he received the Researcher Prize from King Faisal University, a testament to his impactful contributions in probability and multifractal analysis. He was also honored with the Young Researcher Prize from Beit Al-Hikma in 2020, highlighting his early-career achievements in mathematics. His leadership in academia is further exemplified by his active role in scientific awards and workshops, where he has been invited as a speaker on multiple occasions. Dr. Attia has also contributed significantly to scientific collaborations, organizing research groups and seminars on Fibonacci sequences, fractal geometry, and mathematical analysis. His accolades underscore his dedication to advancing mathematical knowledge, mentoring young researchers, and fostering global collaborations. These honors serve as recognition of his profound impact in the field and his commitment to academic excellence.

🔍 Conclusion

Dr. Najmeddine Attia is a dynamic and accomplished mathematician whose expertise spans probability theory, multifractal analysis, and fractal geometry. His academic journey, from earning a PhD in France to securing top-tier teaching and research positions in Tunisia and Saudi Arabia, reflects his dedication to mathematical sciences. As a researcher, he has made significant theoretical and applied contributions, supervised emerging scholars, and authored essential mathematical books. His recognition through prestigious awards underscores his impact in the field. With a passion for advancing mathematical knowledge and fostering collaborations, Dr. Attia continues to shape the future of research and education. His career stands as an inspiration to mathematicians worldwide, demonstrating the power of perseverance, innovation, and academic excellence.

Publications Top Noted

 

Ran Zhang | Applied Mathematics | Best Researcher Award

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Dr. Ran Zhang | Applied Mathematics | Best Researcher Award

Researcher at Nanjing University of Posts and Telecommunications, China

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

Professional Profile

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Education

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

Professional Experience

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

Research Interest

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

Awards and Honors

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

Conclusion

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

Publications Top Noted

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

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

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

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

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

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

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

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

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

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

 

Livija Cveticanin | Applied Mathematics | Best Researcher Award

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Prof. Dr. Livija Cveticanin | Applied Mathematics | Best Researcher Award

Professor at Faculty of Technical Sciences, University of Novi Sad, Serbia

Prof. Livija Cveticanin is a distinguished academic and researcher, currently holding positions at the University of Novi Sad, Obuda University, and the Polytechnic University in Temisoara. She has made significant contributions to the fields of rotor dynamics and nonlinear vibrations, publishing over 200 journal papers, six monographs with renowned publishers, and co-authoring six textbooks. Prof. Cveticanin is known for developing the “Cveticanin Method,” a groundbreaking procedure for solving nonlinear differential equations in vibration analysis. Her research has garnered international recognition, placing her among the top 2% of most cited scientists globally according to Stanford University’s rankings. She has been an invited speaker at numerous international awards and is involved in high-profile projects such as COST CA15125 and the European SenVibe project. In addition to her research, Prof. Cveticanin is an active leader in scientific communities, serving as president of the Academy of Sciences of Vojvodina and editor-in-chief of the Analecta Technica Szegedinensia.

Professional Profile 

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Education

Prof. Livija Cveticanin’s educational journey reflects a distinguished academic path in mechanical engineering and nonlinear dynamics. She graduated with a degree in Mechanical Engineering from the University of Novi Sad, Serbia. Building on this solid foundation, she pursued advanced studies at the same institution, earning her PhD at the University of Novi Sad. Her academic ambitions further led her to the Hungarian Academy of Sciences in Budapest, where she obtained the prestigious Doctor of Science degree. Prof. Cveticanin’s academic expertise spans the fields of rotor dynamics, nonlinear vibrations, and complex mechanical systems, with significant contributions to solving strong nonlinear differential equations. She continues to shape the future of engineering education as a member of the Doctoral School of Safety and Security Sciences at Obuda University in Budapest and as a faculty member at various esteemed institutions in Europe. Her academic achievements are a testament to her commitment to excellence in both research and education.

Professional Experience

Prof. Livija Cveticanin has an illustrious academic career, holding prestigious positions at multiple renowned institutions. She is a Professor Emeritus at the University of Novi Sad in Serbia, a Professor at Obuda University in Hungary, and an Honorary Professor at the Polytechnic University in Timisoara, Romania. She earned her PhD at the University of Novi Sad and her Doctor of Science degree at the Hungarian Academy of Sciences in Budapest. Prof. Cveticanin has made significant contributions to the fields of rotor dynamics, nonlinear vibrations, and mechanical engineering, publishing over 200 journal papers, six monographs, and several chapters in international books. She developed the innovative “Cveticanin Method” for solving nonlinear differential equations of vibration. As a respected leader in her field, she has been a plenary speaker at numerous international awards, led international research projects, and served as Editor-in-Chief of Analecta Technica Szegedinensia. Her work has earned her recognition as one of the top 2% scientists globally.

Research Interest

Prof. Livija Cveticanin’s research interests primarily focus on the dynamics of rotors and machines with variable mass, as well as nonlinear vibrations in mechanical systems. Her pioneering work addresses the challenges of solving strong nonlinear differential equations of vibration, for which she developed the widely recognized Cveticanin Method. This method has become an important tool in the study of nonlinear vibrations. Prof. Cveticanin’s contributions extend to areas such as the application of analytical techniques to dynamic systems, including machinery and mechanical components subjected to complex, time-varying forces. Her expertise also covers the behavior of nonlinear dynamic systems under different operational conditions, which is crucial for designing more efficient and reliable mechanical systems. Prof. Cveticanin is involved in both theoretical research and practical applications, with significant contributions to engineering design, machine dynamics, and the development of methodologies for tackling difficult vibration problems.

Award and Honor

Prof. Livija Cveticanin has received numerous prestigious awards and honors throughout her distinguished career, recognizing her groundbreaking contributions to the field of nonlinear dynamics and mechanical engineering. Notably, she has been included in the Stanford University Ranking of the top 2% most influential scientists in the world, based on her lifetime publication and citation records. In 2001, Thomson Reuters awarded her for publishing the most cited one-author paper in Serbia, which was also ranked among the top 1% of the most cited papers in physics. Additionally, she has been honored with leadership roles, including being the president of the Academy of Sciences of Vojvodina and holding positions in several esteemed scientific organizations such as GAMM and IFToMM. Her remarkable achievements and contributions to academia have earned her international recognition, with invitations to lecture at renowned institutions, such as CISM in Udine, Italy, and the International PhD School of Nonlinear Sciences in São Paulo, Brazil.

Conclusion

Prof. Livija Cveticanin stands as an outstanding figure in the field of mechanical engineering and nonlinear dynamics, making profound contributions to rotor dynamics, vibrations, and differential equations. With over 200 journal papers and six monographs published by renowned publishers such as Springer, her work has earned global recognition. Notably, her innovative “Cveticanin Method” has become a fundamental tool in solving nonlinear vibration equations. Prof. Cveticanin’s leadership and involvement in international projects, such as COST CA15125 (DENORMS) and SenVibe, further solidify her status as a driving force in advancing the field. As the president of the Academy of Sciences of Vojvodina and Editor-in-Chief of Analecta Technica Szegedinensia, her influence extends beyond research into academia and international collaborations. Her recognition in the Stanford University ranking of the top 2% of most cited scientists globally exemplifies her lasting impact and underscores her eligibility for the Best Researcher Award.

Publications Top Noted

  • Title: Homotopy–perturbation method for pure nonlinear differential equation
    Authors: L. Cveticanin
    Year: 2006
    Citations: 330
  • Title: Dynamic modeling of a pneumatic muscle actuator with two-direction motion
    Authors: J. Sárosi, I. Biro, J. Nemeth, L. Cveticanin
    Year: 2015
    Citations: 131
  • Title: Oscillator with fraction order restoring force
    Authors: L. Cveticanin
    Year: 2009
    Citations: 110
  • Title: Strong nonlinear oscillators
    Authors: L. Cveticanin
    Year: 2018
    Citations: 108
  • Title: Dynamics of machines with variable mass
    Authors: L. Cveticanin
    Year: 2022
    Citations: 98
  • Title: Dynamic characterization and simulation of two-link soft robot arm with pneumatic muscles
    Authors: A. Hošovský, J. Piteľ, K. Židek, M. Tóthová, J. Sárosi, L. Cveticanin
    Year: 2016
    Citations: 89
  • Title: Oscillator with strong quadratic damping force
    Authors: L. Cveticanin
    Year: 2009
    Citations: 78
  • Title: Jacobi elliptic functions: a review of nonlinear oscillatory application problems
    Authors: I. Kovacic, L. Cveticanin, M. Zukovic, Z. Rakaric
    Year: 2016
    Citations: 75
  • Title: The homotopy-perturbation method applied for solving complex-valued differential equations with strong cubic nonlinearity
    Authors: L. Cveticanin
    Year: 2005
    Citations: 70
  • Title: Oscillator with a Sum of Noninteger‐Order Nonlinearities
    Authors: L. Cveticanin, T. Pogany
    Year: 2012
    Citations: 67
  • Title: Resonant vibrations of nonlinear rotors
    Authors: L. Cveticanin
    Year: 1995
    Citations: 66
  • Title: Dynamics of mechanical systems with non-ideal excitation
    Authors: L. Cveticanin, M. Zukovic, J. M. Balthazar
    Year: 2018
    Citations: 64
  • Title: Dynamics of the non-ideal mechanical systems: A review
    Authors: L. Cveticanin
    Year: 2010
    Citations: 62
  • Title: Vibrations of a coupled two-degree-of-freedom system
    Authors: L. Cveticanin
    Year: 2001
    Citations: 61
  • Title: Chaos in non-ideal mechanical system with clearance
    Authors: M. Zukovic, L. Cveticanin
    Year: 2009
    Citations: 59
  • Title: The motion of a two-mass system with non-linear connection
    Authors: L. Cveticanin
    Year: 2002
    Citations: 59
  • Title: Free vibration of a Jeffcott rotor with pure cubic non-linear elastic property of the shaft
    Authors: L. Cveticanin
    Year: 2005
    Citations: 55
  • Title: Conservation laws in systems with variable mass
    Authors: L. Cveticanin
    Year: 1993
    Citations: 55
  • Title: Sorption behavior of polycyclic aromatic hydrocarbons on biodegradable polylactic acid and various nondegradable microplastics: Model fitting and mechanism analysis
    Authors: M. Lončarski, V. Gvoić, M. Prica, L. Cveticanin, J. Agbaba, A. Tubić
    Year: 2021
    Citations: 53
  • Title: Approximate analytical solutions to a class of non-linear equations with complex functions
    Authors: L. Cveticanin
    Year: 1992
    Citations: 52