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

 

Zammad Ali | Analysis (Real, Complex, Functional) | Best Researcher Award

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Dr. Zammad Ali | Analysis (Real, Complex, Functional) | Best Researcher Award

Researcher at Bahauddin Zakariya University, Pakistan

Zammad Ali is an emerging researcher in applied mathematics, specializing in convex analysis, fractional calculus, and information sciences. He holds an MPhil in Mathematics from Bahauddin Zakariya University, Pakistan, with expertise in computational geometry, integral inequalities, and machine learning applications. His research contributions include multiple publications in high-impact journals, focusing on generalized convex functions, fractional integral inequalities, and their applications in entropy and information science. Proficient in Mathematica, MATLAB, and Python, he integrates computational tools to solve complex mathematical problems. His international collaborations with researchers from China and Japan highlight his growing academic presence. While his work demonstrates innovation and relevance, expanding his research impact through higher citation counts, interdisciplinary applications, and independent projects will further strengthen his profile. With continued contributions and leadership in mathematical research, Zammad Ali is well-positioned to make significant advancements in applied mathematics and information sciences.

Professional Profile 

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Education

Zammad Ali holds an MPhil in Mathematics from Bahauddin Zakariya University (BZU), Multan, Pakistan, completed between 2021 and 2023 with a CGPA of 3.30 out of 4.0. His academic focus during this period included Computational Geometry, Calculus on Time Scales, Advanced Linear Algebra, Integral Inequalities, and applications in Machine Learning and Data Science. Prior to this, he earned a Bachelor’s degree in Mathematics from the University of Education (UE), Lahore, Pakistan, from 2017 to 2021, achieving a CGPA of 3.39 out of 4.0. His undergraduate studies encompassed Mathematical Methods of Physics, Mathematical Statistics, Complex Analysis, Calculus, Differential Geometry, Linear Algebra, Real Analysis, and Ordinary Differential Equations. With a strong foundation in both pure and applied mathematics, his educational background supports his research interests in convex analysis, integral inequalities, and fractional calculus. His coursework and research reflect a blend of theoretical and computational mathematics, equipping him with diverse analytical and problem-solving skills.

Professional Experience

Zammad Ali has developed strong technical and research expertise throughout his academic journey, contributing to advanced mathematical research. Although he has not held formal academic or industry positions, his professional experience primarily lies in his research contributions and collaborations with esteemed scholars. His proficiency in computational tools like Mathematica, MATLAB, Python, and MS Office enhances his analytical capabilities. He has actively participated in mathematical research, working under the supervision of experienced professors such as Dr. Asfand Fahad and Dr. Awais Younus. His research engagements involve solving complex mathematical problems related to convex functions, integral inequalities, and fractional calculus. His publications in high-impact journals highlight his ability to contribute to contemporary mathematical advancements. While he is at an early stage of his professional career, his expertise and research collaborations position him as a promising mathematician with potential for future academic and industrial contributions.

Research Interest

Zammad Ali’s research interests focus on mathematical analysis, particularly in convex functions, integral inequalities, and fractional calculus. His work explores the properties of generalized convex functions and their applications in information sciences. He is particularly interested in geometrically arithmetically convex functions, Hermite–Hadamard–Mercer inequalities, and fractional integral operators. His research integrates theoretical mathematics with computational approaches, allowing for the development of new mathematical inequalities and their applications in various scientific domains. He has contributed to studies on entropy, information systems, and mean inequalities, demonstrating the practical relevance of his research. His growing interest in machine learning and data science suggests potential interdisciplinary applications of his mathematical expertise in optimization problems, artificial intelligence, and statistical modeling. Through his contributions, he aims to advance the field of applied mathematics, developing innovative methods that bridge pure mathematical theories with real-world applications.

Awards and Honors

Zammad Ali has made significant contributions to mathematical research, publishing in well-regarded journals such as Information Sciences, Alexandria Engineering Journal, and Fractal and Fractional. While he has not yet received formal awards or honors, his scholarly impact is evident through his collaborations with international researchers and his contributions to the field of fractional calculus and integral inequalities. His publications are gaining recognition, with citations reflecting the influence of his work within the academic community. As his research progresses, he is well-positioned to receive prestigious awards and grants for his contributions to mathematical sciences. His potential for future recognition is strong, given his consistent engagement in high-level mathematical research. With further experience, his work is expected to attract broader academic and industrial recognition, establishing him as a leading researcher in applied mathematics.

Conclusion

Zammad Ali is an emerging researcher in mathematics, specializing in convex analysis, fractional calculus, and integral inequalities. His academic journey, marked by strong theoretical foundations and computational expertise, has led to impactful research contributions. His ability to collaborate with international scholars and publish in high-impact journals demonstrates his potential as a mathematician. While he is in the early stages of his research career, his growing influence in the field suggests a promising future. With further experience and recognition, he is likely to make substantial contributions to mathematical sciences, bridging theoretical advancements with practical applications. His dedication to research and continuous learning sets the foundation for a successful academic and professional career.

Publications Top Noted

  • Title: Exploring properties and inequalities for geometrically arithmetically-Cr-convex functions with Cr-order relative entropy
    Authors: A. Fahad, Y. Wang, Z. Ali, R. Hussain, S. Furuichi
    Year: 2024
    Citations: 11
    Source: Information Sciences, Volume 662, Article ID 120219

  • Title: Novel fractional integral inequalities for GA-Cr-convex functions and connections with information systems
    Authors: A. Fahad, Z. Ali, S. Furuichi, Y. Wang
    Year: 2025
    Citations: 2
    Source: Alexandria Engineering Journal, Volume 113, Pages 509-515

  • Title: On generalization of Hermite–Hadamard–Mercer inequalities for interval-valued functions with generalized geometric–arithmetic convexity
    Authors: A. Fahad, Y. Qian, Z. Ali, A. Younus
    Year: 2024
    Citations: 2
    Source: International Journal of Geometric Methods in Modern Physics, Article ID 2440026

  • Title: New Inequalities for GA–h Convex Functions via Generalized Fractional Integral Operators with Applications to Entropy and Mean Inequalities
    Authors: A. Fahad, Z. Ali, S. Furuichi, S. I. Butt, Y. Wang
    Year: 2024
    Citations: Not available yet
    Source: Fractal and Fractional, Volume 8, Issue 12, Article ID 728

 

Shujaat Ali Shah | Analysis (Real, Complex, Functional) | Best Researcher Award

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Assist. Prof. Dr. Shujaat Ali Shah | Analysis (Real, Complex, Functional) | Best Researcher Award

Assistant Professor at Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Pakistan

Dr. Shujaat Ali Shah is an accomplished researcher in Applied Mathematics, specializing in Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory. With over 16 years of academic experience, he serves as an Assistant Professor at Quaid-i-Awam University of Engineering, Science, and Technology, Nawabshah, Pakistan. He has published more than 30 peer-reviewed research papers in reputable journals such as Mathematics, AIMS Mathematics, and Turkish Journal of Mathematics, showcasing his expertise and commitment to advancing mathematical research. His work spans diverse areas, including fuzzy functions, q-calculus, and differential subordination, with significant international collaborations. Dr. Shah’s contributions to mathematical modeling and applied mathematics highlight his innovative approach. While his research impact is substantial, further engagement in high-impact publications, research grants, and global recognition could enhance his academic influence. His dedication and consistent research output position him as a strong candidate for prestigious research awards in mathematics.

Professional Profile 

Google Scholar
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Education

Dr. Shujaat Ali Shah holds a Doctor of Philosophy (PhD) in Mathematics from COMSATS University Islamabad, where he conducted advanced research on linear operators in geometric function theory from 2016 to 2020. Prior to this, he earned his Master of Philosophy (M.Phil.) in Mathematics from Quaid-i-Azam University Islamabad (2009–2011), focusing on Γ-semigroups and their mathematical properties. His academic journey began with a Master of Science (M.Sc.) in Mathematics from the same institution (2006–2008), equipping him with a strong foundation in mathematical theories and analytical techniques. Through his studies, he specialized in complex analysis, geometric function theory, special functions, and semigroup theory, making significant contributions to these areas. His education has been instrumental in shaping his career as a dedicated researcher and professor, fostering a deep understanding of applied and theoretical mathematics while driving impactful research in the field.

Professional Experience

Dr. Shujaat Ali Shah is an accomplished academic with over 16 years of experience in teaching and research in mathematics. He currently serves as an Assistant Professor in the Department of Mathematics and Statistics at Quaid-i-Awam University of Engineering, Science, and Technology, Nawabshah, Pakistan. Previously, he worked as a Lecturer at the same institution and also held teaching positions at the Institute of Business Administration, Sukkur, and Govt. Degree College, Doulat Pur. His expertise spans Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory, contributing to both undergraduate and postgraduate education. Dr. Shah has actively participated in research supervision, curriculum development, and academic training programs, enhancing the learning experience for students. He has also attended ICT teaching training programs, demonstrating his commitment to professional growth. His extensive teaching career, coupled with his prolific research contributions, makes him a distinguished figure in the field of applied mathematics.

Research Interest

Dr. Shujaat Ali Shah’s research interests lie in the fields of Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory, with a strong focus on analytical methods and mathematical modeling. His work explores coefficient estimates, fuzzy functions, differential subordination, and convexity properties in function theory, contributing to the development of new mathematical frameworks. He has extensively investigated q-calculus, multiplier operators, and generalizations of close-to-convex functions, advancing knowledge in applied and theoretical mathematics. His research also extends to the study of harmonic functions, fuzzy differential equations, and analytic function subclasses, bridging pure and applied mathematical approaches. Through international collaborations and interdisciplinary studies, he continuously explores innovative methods to solve complex mathematical problems, particularly those relevant to engineering, physics, and computational sciences. With a robust publication record, Dr. Shah remains dedicated to expanding mathematical frontiers and fostering advancements in contemporary mathematical research.

Award and Honor

Dr. Shujaat Ali Shah is a distinguished researcher in applied mathematics, recognized for his significant contributions to complex analysis, geometric function theory, and special functions. With over 30 peer-reviewed publications in reputable journals such as Mathematics, AIMS Mathematics, and Turkish Journal of Mathematics, he has established himself as a leading academic in his field. His research collaborations span multiple countries, including Romania, Saudi Arabia, Egypt, and Spain, showcasing his global impact. Dr. Shah has been honored for his dedication to mathematical sciences through his role as an Assistant Professor at Quaid-i-Awam University and his extensive teaching and research experience of over 16 years. His scholarly work has earned him invitations to collaborate on international research projects, contributing to the advancement of applied mathematics. His recognition in academia continues to grow, solidifying his reputation as an influential mathematician dedicated to solving complex mathematical problems and mentoring future researchers.

Conclusion

Dr. Shujaat Ali Shah is a highly accomplished researcher in applied mathematics, with a strong focus on complex analysis, geometric function theory, and mathematical modeling. His extensive publication record in reputable international journals, coupled with collaborations across multiple countries, highlights his global research impact. With over 16 years of academic and research experience, he has consistently contributed to advancing mathematical knowledge through innovative studies on fuzzy functions, q-calculus, and differential subordination. While his research output and collaborations are commendable, further enhancing citation impact, securing research grants, and engaging in applied industrial projects could elevate his recognition to a higher level. His expertise, dedication, and consistent contributions make him a strong contender for the Best Researcher Award in Applied Mathematics. With a focus on expanding the real-world applications of his work and increasing scholarly influence, Dr. Shah has the potential to achieve even greater recognition in the global mathematical research community.

Publications Top Noted

  • Study on the q-analogue of a certain family of linear operators
    Authors: SA Shah, KI Noor
    Year: 2019
    Citations: 55

  • On fuzzy spiral-like functions associated with the family of linear operators
    Authors: AF Azzam, SA Shah, A Cătaș, LI Cotîrlă
    Year: 2023
    Citations: 10

  • On fuzzy differential subordination associated with q-difference operator
    Authors: SA Shah, EE Ali, A Catas, AM Albalahi
    Year: 2023
    Citations: 10

  • Inclusion results for the class of fuzzy α-convex functions
    Authors: SA Shah, EE Ali, AA Maitlo, T Abdeljawad, AM Albalahi
    Year: 2022
    Citations: 9

  • Fuzzy differential subordination and superordination results for q-analogue of multiplier transformation
    Authors: AA Lupas, SA Shah, LF Iambor
    Year: 2023
    Citations: 6

  • A Study of Spiral‐Like Harmonic Functions Associated with Quantum Calculus
    Authors: SA Shah, LI Cotirla, A Catas, C Dubau, G Cheregi
    Year: 2022
    Citations: 6

  • On q-Mocanu type functions associated with q-Ruscheweyh derivative operator
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 6

  • Applications of q-calculus multiplier operators and subordination for the study of particular analytic function subclasses
    Authors: EE Ali, GI Oros, SA Shah, AM Albalahi
    Year: 2023
    Citations: 6

  • On new subclass of harmonic univalent functions associated with modified q-operator
    Authors: SA Shah, AA Maitlo, MA Soomro, KI Noor
    Year: 2021
    Citations: 4

  • On fuzzy differential subordination associated with -difference operator
    Authors: SA Shah, EE Ali, A Catas, AM Albalahi
    Year: 2023
    Citations: 4

  • Application of Srivastava-Attiya Operator to the Generalization of Mocanu Functions
    Authors: KI Noor, SA Shah
    Year: 2019
    Citations: 3

  • Study of the fuzzy q-spiral-like functions associated with the generalized linear operator
    Authors: AA Azzam, D Breaz, SA Shah, LI Cotirla
    Year: 2023
    Citations: 2

  • On generalized gamma-Bazilevic functions
    Authors: KI Noor, SA Shah, A Saliu
    Year: 2021
    Citations: 2

  • Study of the q-spiral-like functions of complex order
    Authors: KI Noor, SA Shah
    Year: 2021
    Citations: 2

  • On certain generalized Bazilevic type functions associated with conic regions
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 2

  • Study of Generalized q‐Close‐to‐Convex Functions Related to Parabolic Domain
    Authors: KI Noor, AA Lupas, SA Shah, AM Sibih, S Abdel-Khalek
    Year: 2023
    Citations: 1

  • Some Inclusion and Radius Problems of Certain Subclasses of Analytic Functions
    Authors: KI Noor, M Kamran, SA Shah
    Year: 2021
    Citations: 1

  • Applications of certain operators to the classes of analytic functions related to the generalized Janowski functions
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 1