Binghao OuYang | Optimization | Best Researcher Award

Posted on by Math Scientist

Dr. Binghao OuYang | Optimization | Best Researcher Award

Research assistant at City University of Hong Kong, China

Dr. OuYang Binghao (欧阳炳濠) is a promising early-career researcher specializing in game theory and distributed Nash equilibrium seeking algorithms ⚙️📊. Currently pursuing a joint PhD at City University of Hong Kong and University of Science and Technology of China, he holds a strong academic record with a GPA of 3.78/4.3 🎓. His research focuses on fixed-time convergence algorithms for complex control systems, with practical applications in non-cooperative games and Euler-Lagrange systems 🔍🤖. Dr. OuYang has earned several awards, including a gold medal at the National College Student Innovation Competition 🥇 and recognition as an outstanding undergraduate graduate. Skilled in Python, C++, and Matlab, he also applies reinforcement and deep learning techniques to advance his research 💻🧠. With a solid mathematical foundation and innovative approach, Dr. OuYang is a rising talent in control science and engineering, poised to make significant contributions to his field.

Professional Profile 

🎓 Education

Dr. OuYang Binghao (欧阳炳濠) has pursued a rigorous academic path in engineering and control science. He earned his Bachelor’s degree in Automation from the University of Science and Technology of China (USTC) (2016–2020) 🎯, followed by PhD studies in Control Science and Engineering (2020–2022) with a GPA of 3.50/4.3 📚. Currently, he is completing a Joint PhD in Biomedical Engineering and Control Science at City University of Hong Kong and USTC, maintaining an impressive GPA of 3.78/4.3 🏅. Guided by Professors Feng Gang and Wang Yong, his education blends theoretical depth with applied research, equipping him to tackle complex engineering challenges across interdisciplinary domains 🎓🔬.

💼 Professional Experience

Dr. OuYang has demonstrated practical innovation from early in his academic career. In 2020, his excellent undergraduate graduation project involved the development of a fingerprint attendance system 🛠️. Later, in 2021, he participated in the China International College Students Innovation Competition, helping design a motion perception and high-precision positioning system, which won a gold award 🥇. From 2022–2023, he conducted research at City University of Hong Kong focused on distributed Nash equilibrium seeking in non-cooperative games 🤝📈. His hands-on experience bridges theoretical modeling and real-world applications, showcasing a promising blend of technical creativity and research diligence 💡🧪.

🔬 Research Interest

Dr. OuYang’s core research areas include game theory, distributed Nash equilibrium algorithms, and fixed-time convergence strategies for control systems 📐⚙️. He is particularly focused on solving equilibrium-seeking problems in constrained and dynamic non-cooperative games, as well as Euler-Lagrange systems 🔄🧠. With expertise in reinforcement learning, deep learning, and optimization, his work integrates modern computational tools to address long-standing challenges in control science 🚀. His interest in convergence algorithms extends to real-time systems, offering broad applications in autonomous systems, multi-agent robotics, and decentralized networks 🤖🌐. His work is driven by a strong mathematical foundation and a vision for robust and scalable algorithm design 📊🧮.

🏆 Awards and Honors

Dr. OuYang has received multiple honors reflecting both academic excellence and innovation 🏅. He earned the Outstanding Undergraduate Graduate award from USTC in 2020, recognizing his stellar academic performance 🎓. His graduation project was named an Excellent Graduation Project, and he secured First-Class Graduate Scholarships in both 2020 and 2021 💸. In 2021, he won a Gold Award in the National College Student Innovation Competition for his contributions to a motion perception and positioning system 🥇. Earlier, in 2019, he received the Second Prize in the NXP Cup Intelligent Car Competition 🚗. These recognitions affirm his technical competence, creativity, and dedication to impactful research and development.

💼📘Conclusion

Dr. OuYang Binghao stands out as a dynamic and skilled researcher, combining academic excellence with practical innovation 💼📘. With a strong educational background, impactful project work, and research in high-impact areas such as game theory and fixed-time algorithms, he exhibits the qualities of a future leader in engineering and control systems 🧭. His proficiency in programming, AI integration, and control dynamics, along with international research exposure, positions him as a valuable contributor to the global research community 🌍. Dr. OuYang’s trajectory reflects not only promise but also a clear commitment to solving critical real-world problems through mathematics, computation, and collaborative research 🤝🔬..

Publication Top Notes

Title: Vertically Oriented Micron-Thick Perovskite Film Enables Efficient and Stable Inverted Perovskite Solar Cells

Authors: Bing-Hao Lv, Yong-Chun Ye, Jun-Gan Wang, Liu-Jiang Zhang, Yu-Hang Zhang, Ming-Li Zheng, Xian-Min Chen, Hui-Wei Du, Jie Yang, Xin-Yu Zhang, Meng-Lei Xu, Qiu-Feng Ye, Xingyu Gao, Jian-Xin Tang, Yongbing Tang

Year: 2025

Source: Chemical Engineering Journal, Volume 511, Article 161966CoLab

DOI: 10.1016/j.cej.2025.161966

Citation Metrics:

 

 

Akiyoshi Osaka | Mathematical Modeling | Best Researcher Award | 2368

Posted on by Math Scientist

Prof. Dr. Akiyoshi Osaka | Mathematical Modeling | Best Researcher Award

Prof. Emeritus at Okayama University, Japan

Dr. Akiyoshi Osaka 🎓, a distinguished Professor Emeritus of Okayama University 🇯🇵, has profoundly influenced the fields of ceramics, bioceramics, and materials science. With a Ph.D. from Kyoto University 🎓 and postdoctoral work at UCLA 🌎, he has pioneered groundbreaking research in glass structures, biomaterials, and nanotechnology 🧪. His illustrious career spans over four decades, marked by ~270 refereed papers 📚, numerous awards 🏆 including the Ceramic Society of Japan Award, and leadership roles such as Corporate Auditor at Shiraishi Kogyo Kaisha. A global scholar 🌍, he also served as a Distinguished Invited Professor in China. Dr. Osaka’s passions include bioceramic innovation 🦴, nanoparticle applications, and sol-gel technologies ⚙️, contributing immensely to biomedical advancements. His legacy continues to inspire young researchers 🌟, blending academic excellence with real-world impact. A true luminary in material sciences 🔬, his work bridges science, engineering, and medicine seamlessly.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓

Dr. Akiyoshi Osaka embarked on his academic journey at Kyoto University 🇯🇵, where he earned his Ph.D. in Materials Science with distinction. His early academic years were deeply rooted in the rigorous exploration of glass chemistry and ceramics 🧪. Seeking global exposure, he pursued postdoctoral research at the prestigious University of California, Los Angeles (UCLA) 🌍, where he expanded his horizons in biomaterials and nanotechnology. His scholastic path reflects a perfect fusion of Eastern discipline and Western innovation 🌟. Dr. Osaka’s educational foundation is a robust scaffold supporting his later groundbreaking scientific ventures. With mentorship under some of the world’s most eminent scholars 👨‍🏫, he developed a sharp vision for integrating theory with pioneering practice, setting a gold standard for future materials scientists. His academic prowess is evident not only in his degrees but also in the intellectual spirit he carries into every research endeavor 🚀.

Professional Experience 💼

Dr. Akiyoshi Osaka’s professional tapestry is rich and vibrant, woven with decades of academic and industrial leadership ✨. As a Professor at Okayama University, he passionately mentored generations of students 🎓, nurturing a vibrant community of innovators. Later, he attained the status of Professor Emeritus, honoring his enduring contributions 📖. His expertise led him to serve as a Distinguished Invited Professor in China, symbolizing his international acclaim 🌏. Beyond academia, he played a critical role as a Corporate Auditor at Shiraishi Kogyo Kaisha 🏛️, bridging the gap between research excellence and industry needs. His career reflects a seamless integration of teaching, pioneering research, and practical industrial collaboration 🔧. His collaborations with multinational institutes and corporations demonstrate his ability to adapt science into tangible societal advancements. Dr. Osaka’s professional voyage stands as a remarkable testament to passion, perseverance, and the profound impact of interdisciplinary synergy 🎯.

Research Interest 🔍

Dr. Akiyoshi Osaka’s research passions sparkle across a dazzling array of cutting-edge fields 🌟. His foremost interests lie in bioceramics 🦴, biomaterials, nanoparticle synthesis, and sol-gel technology ⚙️, areas where he has pushed boundaries with relentless curiosity. Specializing in bioactive glass and hydroxyapatite development, he pioneers materials that interact harmoniously with living tissues ❤️. His work delves into nano-structuring surfaces to enhance biological performance, offering groundbreaking prospects for regenerative medicine 🏥. Driven by a desire to translate fundamental science into clinical miracles, Dr. Osaka’s studies blend chemical precision with biomedical vision 🔥. His investigations into bioresorbable materials and drug-delivery systems position him at the vanguard of healthcare innovation 🚑. Always curious, always evolving, his interdisciplinary explorations knit together chemistry, physics, biology, and engineering 🎯. Through tireless research and creative vision, Dr. Osaka continues to shape the materials that shape the future 🌐.

Awards and Honors 🏅

Dr. Akiyoshi Osaka’s illustrious career has been festooned with numerous accolades 🌟. Among his most distinguished honors is the prestigious Ceramic Society of Japan Award 🏅, celebrating his pioneering advancements in ceramics and biomaterials. Recognized internationally, he has been invited as a keynote speaker 🗣️ at many global scientific summits, reflecting the profound respect he commands within the academic community 🌍. His recognition extends beyond academic circles to the industrial sector, acknowledging his impactful innovations 💡. Dr. Osaka’s honors are not merely decorative but symbolic of decades of dedication, creativity, and leadership 🎖️. His commitment to scientific excellence has earned him fellowships, leadership roles, and widespread admiration from colleagues and students alike 🙌. Each award he has received stands as a beacon 🔥, illuminating his role in pushing scientific frontiers and inspiring countless young researchers to pursue excellence without borders 🚀.

Conclusion ✨

Dr. Akiyoshi Osaka emerges as a luminous beacon 🔥 in the realms of ceramics, biomaterials, and nanotechnology. His journey from Kyoto University’s academic halls 🎓 to global lecture platforms 🌍 epitomizes relentless intellectual pursuit and transformative innovation. With an unshakable foundation in scientific rigor ⚡, he has woven a legacy that seamlessly blends research, mentorship, and industry leadership 🤝. His vision — to harmonize materials with living systems — continues to reshape modern medicine and materials science 🏥🔬. Whether in the classroom, laboratory, or corporate boardroom, Dr. Osaka leaves an indelible mark of excellence 🌟. His career, brimming with passion, discovery, and mentorship, not only elevates the scientific community but also charts new pathways for future generations 🚀. In every facet of his life, Dr. Osaka embodies the spirit of curiosity, resilience, and global impact, standing tall as a true pioneer and luminary in his field 🌟.

Publications Top Notes

Title: Control of Morphology of Titania Film with High Apatite-Forming Ability Derived from Chemical Treatments of Titanium with Hydrogen Peroxide
Authors: S. Kawasaki, K. Tsuru, S. Hayakawa, A. Osaka
Year: 2004
Citations: 8 📚
Source: Key Engineering Materials 🔬🧪

Title: Crystallisation Studies of Biodegradable CaO-P₂O₅ Glass with MgO and TiO₂ for Bone Regeneration Applications
Authors: A.G. Dias, K. Tsuru, S. Hayakawa, M.A. Lopes, J.D. Santos, A. Osaka
Year: 2004
Citations: 20 📚
Source: Glass Technology 🦴🧬

Title: Failure of Theoretically Predicting Glass Structure from Composition
Authors: A. Osaka, S. Hayakawa, K. Tsuru
Year: 2004
Citations: 10 📚
Source: Physics and Chemistry of Glasses 🧪🔍

Title: Distribution and Propagation of Stress and Strain in Cube Honeycombs as Trabecular Bone Substitutes: Finite Element Model Analysis
Authors: G. Wang, J. Liu, T. Lian, M. Todo, A. Osaka
Year: 2024
Source: Journal of the Mechanical Behavior of Biomedical Materials 🏥🧬

Title: Facile Synthesis, Characterization, and In Vitro Biocompatibility of Free-standing Titania Hollow Microtubes
Authors: Y. Wang, F. Zhang, S. Chen, A. Osaka, W. Chen
Year: 2024
Citations: 1 📚
Source: International Journal of Applied Ceramic Technology 🔬🧪

Title: An Injectable Hydrogel Composing Anti-Inflammatory and Osteogenic Therapy Toward Bone Erosions Microenvironment Remodeling in Rheumatoid Arthritis
Authors: X. Liu, Q. Zhang, Y. Cao, J. Lin, R. Pei
Year: 2024
Citations: 4 📑
Source: Advanced Healthcare Materials 💉🔬

Title: Facile Synthesis of Nanofibrous and Hollow Titania Microspheres as Drug-Laden Cell Carriers
Authors: Y. Bai, Y. Wang, S. Chen, T. Ikoma, A. Osaka
Year: 2023
Source: International Journal of Applied Ceramic Technology 🧪💊

Title: Synthesis of Nanofibrous Chitosan/Fe3O4/TiO2@TiO2 Microspheres with Enhanced Biocompatibility and Antibacterial Property
Authors: R. Guo, C. Rong, S. Chen, X. Li, W. Chen
Year: 2023
Citations: 1 📖
Source: Journal of the American Ceramic Society 🏺🧬

Title: Self-Biomineralized In Situ Injectable CaSO4 Nanorods-Enriched Collagen-Hyaluronic Acid Composite Hydrogels for Biomimetic Bone Reconstruction in a Minimally Invasive Manner
Authors: X. Liu, Y. Zhang, Z. Hussain, A. Osaka, R. Pei
Year: 2023
Citations: 13 📈
Source: Applied Materials Today 🛠️💡

Title: In Vitro Assessment of Calcite-Hydroxyapatite Conversion of 3D-Printed Cube Honeycombs in Dilute Phosphate Solutions in the Neutral pH Range
Authors: Y. Sun, G. Wang, X. Chen, M. Tajika, A. Osaka
Year: 2023
Citations: 1 📑
Source: Journal of Materials Research and Technology ⚙️🧪

Title: Generation of Hydrogen through the Hydrolysis of Gas Atomized High Purity Mg Powder
Authors: Z. Lu, Z. Zhou, A. Osaka, C. Chen, M. Chen
Year: 2022
Source: Medziagotyra 🌍🔋

Title: Design and Optimization of Artificial Femoral Unit Cell Structure Based on Response Surface Methodology
Authors: T. Lian, X. Chen, B. Zhang, G. Wang, A. Osaka
Year: 2022
Citations: 1 📚
Source: Journal of Clinical Rehabilitative Tissue Engineering Research 💪🦴

Michael Todinov | Mathematical Engineering | Best Researcher Award

Posted on by Math Scientist

Prof. Michael Todinov | Mathematical Engineering | Best Researcher Award

Professor in Mechanical Engineering at Oxford Brookes University, School of Engineering, Computing and Mathematics, United Kingdom

Professor Michael Todinov is a trailblazing mind in the realm of applied mathematics, reliability engineering, and risk analysis 🌐📊. Renowned for his pioneering contributions to flow networks, reliability modeling, and probabilistic safety assessment, he has authored numerous influential papers and books that have reshaped contemporary engineering thinking 📘⚙️. With a unique approach that blends mathematical innovation with practical utility, Prof. Todinov has introduced novel methodologies for optimizing system performance under uncertainty and complexity 🔍🔧. His work is widely applied across infrastructure, manufacturing, and safety-critical systems, cementing his status as a visionary scholar and problem-solver 🏗️🧠. As a respected educator and thought leader, he continues to inspire a new generation of engineers and researchers to embrace analytical rigor with creative foresight 🎓💡. Driven by curiosity and excellence, Prof. Todinov’s legacy is a testament to the power of mathematical insight in transforming real-world systems 🌟📐.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Prof. Michael Todinov’s educational journey 🌍 began with a First-Class Honours degree in Mechanical Engineering from the Technical University of Sofia 🎓, where his early fascination with precision and systems emerged. Driven by intellectual curiosity, he pursued a PhD at the University of Birmingham—an extraordinary accomplishment completed without formal supervision, based solely on published research 📚. Later, he earned a Doctor of Engineering (DEng), the UK’s equivalent of a DSc, for his pioneering work in probabilistic modeling and system reliability 🔍. This academic evolution reflects a rare synthesis of engineering insight ⚙️ and mathematical depth ➕, enabling him to approach challenges from a multidisciplinary perspective. His educational path has been marked by rigor, creativity, and trailblazing scholarship—qualities that continue to define his professional excellence today. 🧠

💼 Professional Experience

With over 30 years of experience 🌟, Prof. Todinov has held key roles across UK institutions, including his current position as Professor at Oxford Brookes University 🎓. Earlier, he led groundbreaking research as Head of Risk and Reliability at Cranfield University and served as a Research Scientist at the University of Birmingham 🧪. His professional journey blends academic excellence with real-world innovation 🌐, including collaborations with major organizations like BP, Total, and KIMM. His work spans failure modeling, flow network optimization, and engineering safety, using cutting-edge algorithms and simulation techniques 🧮. Whether developing industry solutions or mentoring PhD students 🎓, Prof. Todinov brings a unique fusion of creativity, logic, and leadership. His roles reflect a consistent dedication to advancing applied mathematics and making theory work in practice ⚒️.

🔬 Research Interests

Prof. Todinov’s research is a deep dive into the world of probability, optimization, and system reliability 🎯. He develops new theories and practical models that redefine how we assess risks and design safer, more efficient systems 💡. His focus areas include probabilistic risk reduction, algebraic inequalities, flow networks, and fracture mechanics 🧱. Notably, he challenged and corrected traditional reliability models 🔄, offering innovative alternatives with real-world impact. His algorithm for maximizing flow through damaged networks is the fastest known, making it vital for industries like energy ⚡ and infrastructure 🚧. He also introduced methods for reverse-engineering algebraic inequalities—a breakthrough in mathematical logic 🧠. Prof. Todinov’s work is both foundational and futuristic, balancing theoretical brilliance with powerful applications that influence global engineering and safety practices. 🔧

🏅 Awards and Honors

Prof. Todinov has been recognized globally for his exceptional work 🥇. He received honors from the Institution of Mechanical Engineers (UK) for his influential contributions to engineering risk reduction 🛡️. His Doctor of Engineering (DEng) was conferred in acknowledgment of his career-long breakthroughs in mathematical modeling, an award rarely granted and held by only a select few 🔝. His books—published by Wiley, Elsevier, and CRC Press—have become foundational references across academic and industrial communities 📖. He’s a frequent keynote speaker, journal editorial board member, and award-winning educator 🎤📘. His blend of academic impact and practical innovation has earned him international respect, with accolades that confirm his status as a pioneer in risk science and reliability engineering ⚙️. These honors reflect not just achievement, but lasting influence.

Conclusion

Prof. Michael Todinov stands as a brilliant example of how mathematics and engineering can shape real-world systems 🌐. His research has led to smarter designs, safer infrastructures, and more reliable systems worldwide 🛠️. By blending advanced theory with hands-on solutions, he’s redefined what it means to be an applied mathematician and engineer 🚀. Whether leading research, inspiring students 🎓, or developing the next breakthrough algorithm, his impact is wide-reaching and deeply rooted. As a thinker, educator, and innovator 💬, he’s left a legacy that transcends borders and disciplines. His work continues to elevate global standards in risk management, optimization, and system resilience, earning him a well-deserved place among the world’s top research minds 🧩. Prof. Todinov’s journey reminds us that the intersection of logic and creativity is where true innovation thrives. ✨

Publications Top Notes

📖 Title: Reverse Engineering of Algebraic Inequalities for System Reliability Predictions and Enhancing Processes in Engineering
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2024
🔢 Citations: 7
📖 Source: IEEE Transactions on Reliability 📰

📖 Title: Lightweight Designs and Improving the Load-Bearing Capacity of Structures by the Method of Aggregation
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2024
🔢 Citations: 1
📖 Source: Mathematics 📐

📖 Title: Enhancing the Reliability of Series-Parallel Systems With Multiple Redundancies by Using System-Reliability Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 2
📖 Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 🛠️

📖 Title: Reliability-Related Interpretations of Algebraic Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 5
📖 Source: IEEE Transactions on Reliability 🔧

📖 Title: Probabilistic Interpretation of Algebraic Inequalities Related to Reliability and Risk
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Quality and Reliability Engineering International 📊

📖 Title: Improving Reliability by Increasing the Level of Balancing and by Substitution
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science ⚙️

📖 Title: Can System Reliability Be Predicted from Average Component Reliabilities?
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
🔢 Citations: 1
📖 Source: Safety and Reliability 🔒

📖 Title: Improving System Reliability and the Probability of Selecting Reliable Components by Interpreting Algebraic Inequalities
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
📖 Source: International Journal of Modelling, Identification and Control 🎯

📖 Title: On the Use of Analytical Inequalities for Improving Reliability and Reducing Risk
✍️ Authors: M.T. Todinov, Michael Todorov
📅 Year: 2023
📖 Source: International Journal of Risk Assessment and Management ⚖️

📖 Title: Risk-based Reliability Analysis and Generic Principles for Risk Reduction
✍️ Authors: M.T. Todinov
📅 Year: 2006
🔢 Citations: 114
📖 Source: Elsevier 📈

📖 Title: On Some Limitations of the Johnson–Mehl–Avrami–Kolmogorov Equation
✍️ Authors: M.T. Todinov
📅 Year: 2000
🔢 Citations: 80
📖 Source: Acta Materialia 🧪

📖 Title: Necessary and Sufficient Condition for Additivity in the Sense of the Palmgren–Miner Rule
✍️ Authors: M.T. Todinov
📅 Year: 2001
🔢 Citations: 75
📖 Source: Computational Materials Science 🔬

📖 Title: Is Weibull Distribution the Correct Model for Predicting Probability of Failure Initiated by Non-Interacting Flaws?
✍️ Authors: M.T. Todinov
📅 Year: 2009
🔢 Citations: 58
📖 Source: International Journal of Solids and Structures 🏗️

📖 Title: Flow Networks: Analysis and Optimization of Repairable Flow Networks, Networks with Disturbed Flows, Static Flow Networks and Reliability Networks
✍️ Authors: M.T. Todinov
📅 Year: 2013
🔢 Citations: 54
📖 Source: Newnes 🌐

Shijie Zhao | Applied Mathematics | Best Researcher Award

Posted on by Math Scientist

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 

Scopus Profile
ORCID Profile

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

 

Alexander Bratus | Applied Mathematics | Best Researcher Award

Posted on by Math Scientist

Prof. Dr. Alexander Bratus | Applied Mathematics | Best Researcher Award

Department of digital control of transport at Russia University of Transport, Russia.

Prof. Dr. Alexander Bratus is a distinguished researcher in mathematical biology, dynamical systems, and control theory, with significant contributions to replicator dynamics, evolutionary adaptation, and immune system modeling. His extensive research, spanning biological systems, cancer therapy, and ecological modeling, is reflected in numerous high-impact publications in journals like Mathematical Biosciences, Journal of Mathematical Biology, and Physica A. He has co-authored influential books, including Dynamical Systems and Biological Models and Mathematical Models Evolution and Dynamics of Replicator Systems. His interdisciplinary approach integrates mathematics, biology, and medicine, making his work highly relevant to applied sciences. Collaborating with leading experts worldwide, he has advanced the understanding of complex biological and medical systems. With his dedication to research excellence, impactful publications, and interdisciplinary innovations, Prof. Bratus is a strong contender for the Best Researcher Award, contributing significantly to both theoretical and applied mathematical sciences.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Prof. Dr. Alexander Bratus earned his advanced degrees in mathematics and applied sciences from prestigious institutions in Russia. He pursued his Ph.D. in Mathematical Modeling and Dynamical Systems, focusing on the application of differential equations and optimization techniques in biological and ecological systems. His doctoral research laid the foundation for his extensive work in evolutionary dynamics, control systems, and mathematical biology. He continued his academic journey with a postdoctoral fellowship, where he expanded his expertise in replicator systems, optimization theory, and stochastic processes. His strong mathematical foundation, coupled with interdisciplinary exposure, has enabled him to develop groundbreaking research in biological evolution, immune system modeling, and cancer therapy optimization. Over the years, he has mentored numerous graduate students and young researchers, contributing to the next generation of mathematical scientists. His educational background has been instrumental in shaping his research career, positioning him as a leader in applied mathematics and computational biology.

Professional Experience

Prof. Dr. Alexander Bratus is a professor and researcher in the Department of Digital Control of Transport at Russia University of Transport. With decades of experience in academia and research, he has played a pivotal role in mathematical modeling, applied dynamical systems, and control theory. He has led multiple research projects, collaborating with leading international scientists to develop mathematical models in biomedicine, ecology, and evolutionary game theory. His professional journey includes serving as a principal investigator in multidisciplinary projects, editorial board memberships in renowned scientific journals, and keynote speaker invitations at global conferences. His expertise extends beyond theoretical research, as he has actively contributed to industrial and healthcare applications through mathematical optimization and system control. His leadership in scientific communities has fostered advancements in mathematical biology and computational methods, establishing him as an influential figure in applied mathematics, mathematical physics, and bioinformatics.

Research Interest

Prof. Dr. Alexander Bratus’s research interests lie in mathematical modeling, dynamical systems, and evolutionary biology, with a strong focus on biological and ecological applications. His work explores the mathematical structures underlying biological evolution, immune system interactions, and cancer therapy strategies. He is particularly interested in replicator dynamics, game-theoretic models, and optimal control methods for biomedical systems. His studies on feedback control in leukemia therapy, antigen-driven immune responses, and tumor growth dynamics have led to innovative approaches in personalized medicine and disease treatment. His interdisciplinary research extends to transport system dynamics, economic growth modeling, and nonlinear distributed systems, reflecting his broad scientific expertise. Through computational simulations and analytical frameworks, he continues to bridge mathematics with real-world applications, making significant contributions to healthcare, ecology, and optimization problems. His diverse research portfolio highlights his commitment to advancing theoretical and applied mathematics in modern science.

Awards and Honors

Throughout his career, Prof. Dr. Alexander Bratus has received numerous awards and recognitions for his outstanding contributions to mathematical modeling and applied sciences. His work in evolutionary dynamics, control theory, and computational biology has been recognized with prestigious research grants, international fellowships, and best paper awards. He has been honored by leading mathematical societies and scientific organizations, acknowledging his innovative contributions to interdisciplinary mathematics. He has also been a recipient of excellence in teaching and mentoring awards, reflecting his dedication to academic leadership and student mentorship. His involvement in editorial boards of top-tier scientific journals, invited lectures at major conferences, and advisory roles in research institutions further solidifies his status as a renowned mathematical scientist. His impactful research and international collaborations continue to shape the future of mathematical and computational sciences, earning him global recognition.

Conclusion

Prof. Dr. Alexander Bratus is a highly accomplished mathematician and researcher, whose work has significantly influenced mathematical biology, control systems, and evolutionary game theory. His extensive contributions to replicator dynamics, immune system modeling, and cancer therapy optimization highlight his interdisciplinary approach and scientific leadership. With a strong academic background, remarkable professional experience, and an impressive list of publications, he has established himself as a pioneer in applied mathematics. His dedication to advancing mathematical sciences, mentoring young researchers, and fostering international collaborations makes him an ideal candidate for the Best Researcher Award. His groundbreaking research continues to bridge the gap between theoretical mathematics and real-world applications, impacting biomedicine, ecology, and engineering. As a globally recognized scientist, he remains committed to solving complex problems through mathematical innovation, leaving a lasting impact on the scientific community.

Publications Top Noted

  • Title: Dynamic Programming-Based Approach to Model Antigen-Driven Immune Repertoire Synthesis

    • Authors: A.S. Bratus’, G.A. Bocharov, D. Grebennikov

    • Year: 2024

    • Citations: 0

    • Source: Mathematics

  • Title: Food Webs and the Principle of Evolutionary Adaptation

    • Authors: A.S. Bratus’, S. Drozhzhin, A.V. Korushkina, A.S. Novozhilov

    • Year: 2024

    • Citations: 0

    • Source: Physica A: Statistical Mechanics and its Applications

  • Title: On a Hypercycle Equation with Infinitely Many Members

    • Authors: A.S. Bratus’, O.S. Chmereva, I.Y. Yegorov, A.S. Novozhilov

    • Year: 2023

    • Citations: 0

    • Source: Journal of Mathematical Analysis and Applications

  • Title: Existence of Closed Trajectories in Lotka-Volterra Systems in Rⁿ

    • Authors: A.S. Bratus’, V.V. Tikhomirov, R. Isaev

    • Year: Unknown

    • Citations: 0

    • Source: Book Chapter (No source information available)

  • Title: Mathematical Model of Pancreatic Cancer Cell Dynamics Considering the Set of Sequential Mutations and Interaction with the Immune System

    • Authors: A.S. Bratus’, N.R. Leslie, M. Chamo, G.A. Bocharov, D. Yurchenko

    • Year: 2022

    • Citations: 0

    • Source: Mathematics

  • Title: Mathematical Model of the Infection Spread in Transport Based on the Theory of Porous Medium

    • Authors: A. Ocheretyanaya, A.S. Bratus’

    • Year: 2022

    • Citations: 0

    • Source: Advances in Systems Science and Applications

  • Title: Open Quasispecies Systems: New Approach to Evolutionary Adaptation

    • Authors: I. Samokhin, T.S. Yakushkina, A.S. Bratus’

    • Year: 2022

    • Citations: 1

    • Source: Chinese Journal of Physics

  • Title: Fitness Optimization and Evolution of Permanent Replicator Systems

    • Authors: S. Drozhzhin, T.S. Yakushkina, A.S. Bratus’

    • Year: 2021

    • Citations: 2

    • Source: Journal of Mathematical Biology

  • Title: Dynamical Systems and Models in Biology

    • Authors: A.S. Bratus’, A.S. Novozhilov, A.P. Platonov

    • Year: 2010

    • Citations: 140

    • Source: Fizmatlit (in Russian)

  • Title: Optimal Bounded Control of Steady-State Random Vibrations

    • Authors: M.F. Dimentberg, D.V. Iourtchenko

    • Year: 2000

    • Citations: 64

    • Source: Probabilistic Engineering Mechanics

  • Title: Bounded Parametric Control of Random Vibrations

    • Authors: M.F. Dimentberg, A.S. Bratus’

    • Year: 2000

    • Citations: 54

    • Source: Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences

  • Title: Bimodal Solutions in Eigenvalue Optimization Problems

    • Authors: A.S. Bratus’, A.P. Seiranian

    • Year: 1983

    • Citations: 49

    • Source: Journal of Applied Mathematics and Mechanics

  • Title: Hybrid Solution Method for Dynamic Programming Equations for MDOF Stochastic Systems

    • Authors: A. Bratus, M. Dimentberg, D. Iourtchenko, M. Noori

    • Year: 2000

    • Citations: 44

    • Source: Dynamics and Control

  • Title: On Strategies on a Mathematical Model for Leukemia Therapy

    • Authors: A.S. Bratus’, E. Fimmel, Y. Todorov, Y.S. Semenov, F. Nuernberg

    • Year: 2012

    • Citations: 43

    • Source: Nonlinear Analysis: Real World Applications

  • Title: Optimal Bounded Response Control for a Second-Order System Under a White-Noise Excitation

    • Authors: A. Bratus, M. Dimentberg, D. Iourtchenko

    • Year: 2000

    • Citations: 43

    • Source: Journal of Vibration and Control

  • Title: Optimal Radiation Fractionation for Low-Grade Gliomas: Insights from a Mathematical Model

    • Authors: T. Galochkina, A. Bratus, V.M. Pérez-García

    • Year: 2015

    • Citations: 33

    • Source: Mathematical Biosciences

  • Title: Optimal Control Synthesis in Therapy of Solid Tumor Growth

    • Authors: A.S. Bratus’, E.S. Chumerina

    • Year: 2008

    • Citations: 30

    • Source: Computational Mathematics and Mathematical Physics

  • Title: Solution of the Feedback Control Problem in the Mathematical Model of Leukemia Therapy

    • Authors: A. Bratus, Y. Todorov, I. Yegorov, D. Yurchenko

    • Year: 2013

    • Citations: 28

    • Source: Journal of Optimization Theory and Applications

  • Title: Stabilizing and Destabilizing Effects in Non-Conservative Systems

    • Authors: N.V. Banichuk, A.S. Bratus, A.D. Myshkis

    • Year: 1989

    • Citations: 26

    • Source: Journal of Applied Mathematics and Mechanics

  • Title: Linear Algebra of the Permutation Invariant Crow-Kimura Model of Prebiotic Evolution

    • Authors: A.S. Bratus, A.S. Novozhilov, Y.S. Semenov

    • Year: 2014

    • Citations: 25

    • Source: Mathematical Biosciences

 

 

Muhammad Marwan | Applied Mathematics | Best Researcher Award

Posted on by Math Scientist

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

 

Zohaib Khan | Optimization | Best Researcher Award

Posted on by Math Scientist

Dr. Zohaib Khan | Optimization | Best Researcher Award

Jiangsu University, China

Zohaib Khan is a dedicated researcher specializing in machine learning, object detection, and control science engineering, with a strong focus on precision agriculture and AI-driven automation. Currently pursuing a PhD at Jiangsu University, China, he has made significant contributions to deep learning-based agricultural robotics, publishing multiple first-author papers in high-impact SCI Q1, Q2, and EI journals. His work emphasizes real-time detection, optimization algorithms, and AI-driven sustainability solutions. With extensive mentoring experience (50+ Bachelor’s and 10 Master’s students), he has played a key role in academic development. Zohaib has received numerous national and international awards, including first prizes in elite research and innovation competitions. His technical expertise spans Python, MATLAB, LaTeX, and AI-driven modeling, complementing his ability to lead interdisciplinary research. With a passion for advancing AI applications in agriculture, he continues to drive innovation in sustainable and automated farming solutions.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Zohaib Khan is currently pursuing a PhD in Control Science Engineering at Jiangsu University, China (2022–2026), specializing in machine learning and object detection. He previously earned an MSc in Electrical Engineering (2019–2022) from the same institution, focusing on power systems and renewable energy. His Bachelor’s degree in Electrical Power Engineering (2013–2017) from Swedish College of Engineering and Technology, Pakistan, laid the foundation for his technical expertise. His early academic years were marked by excellence, having completed Pre-Engineering at Fazaia Degree College (2011–2013) and his Secondary School Certificate (2009–2011) at Agricultural University Public School. Zohaib’s academic journey is distinguished by his strong analytical skills and passion for integrating AI and automation in engineering solutions. His education reflects a deep commitment to advanced research, innovation, and interdisciplinary problem-solving, positioning him as a future leader in AI-driven technologies and precision agriculture.

Professional Experience

Zohaib Khan has gained substantial experience in both academic research and engineering practice. As an intern at WAPDA, Pakistan, he developed hands-on expertise in power distribution and transmission lines, strengthening his understanding of grid operations and maintenance. Later, as an Electrical Engineer at LIMAK (JV) ZKB – CPEC Project (2017–2018), he contributed to electrical system design, installation, and maintenance, gaining valuable project management experience. His role involved troubleshooting, safety compliance, and interdisciplinary collaboration, enhancing his problem-solving capabilities. In academia, Zohaib has mentored over 50 Bachelor’s and 10 Master’s students, guiding them through research projects in machine learning, object detection, and automation. His strong writing, teaching, and IT skills have been instrumental in fostering innovation. His diverse experience, spanning applied research and engineering implementation, makes him a well-rounded professional capable of driving breakthroughs in AI-powered automation and precision agriculture.

Research Interest

Zohaib Khan’s research focuses on machine learning, deep learning, object detection, and AI-driven automation, with applications in precision agriculture and robotics. His studies revolve around real-time detection, optimization algorithms, and advanced control systems for agricultural sustainability and industrial automation. He has pioneered AI-driven precision farming techniques, developing deep learning-enhanced YOLOv7 and YOLOv8 algorithms for real-time crop health assessment and robotic spraying systems. Additionally, his work explores autonomous navigation in unstructured farmlands, energy-efficient control systems, and reinforcement learning for AI-based decision-making. His research extends to risk assessment in renewable energy systems, contributing to more efficient and resilient smart grids. Through interdisciplinary collaborations, Zohaib continues to push the boundaries of AI in sustainable agriculture, robotics, and industrial automation, aiming to develop intelligent, scalable, and high-impact solutions for modern technological challenges.

Awards and Honors

Zohaib Khan has received multiple prestigious awards recognizing his contributions to research, innovation, and academic excellence. He has won First Prizes in National Competitions, including the China University Business Elite Challenge (2024) and the Brand Planning Competition (2024). His research excellence was acknowledged with the Excellent Paper Award at the Sino-award (2021) and special recognition in Jiangsu Province Graduate Energy-saving and Low-Carbon Research Competition (2023). Additionally, he was honored as an Outstanding Student in the 17th “Yale School of Jiangsu University” program and received a Certificate of Excellence for Teaching Assistance. His leadership and public speaking skills earned him first place in an English debate at Jiangsu University. These accolades reflect his dedication to research, leadership in innovation, and commitment to advancing AI applications in engineering and agriculture, solidifying his reputation as a promising researcher in his field.

Conclusion

Zohaib Khan’s academic, professional, and research journey showcases his exceptional talent in AI-driven automation, machine learning, and precision agriculture. His extensive experience in research, mentoring, and engineering practice positions him as a leading scholar in intelligent agricultural robotics and sustainable AI applications. With a strong publication record in high-impact journals (SCI Q1, Q2, and EI) and multiple national and international awards, he has demonstrated his ability to drive innovation and solve real-world problems. His work in deep learning-based automation and AI-driven optimization techniques continues to push the boundaries of technology for sustainability and efficiency. As he progresses in his career, Zohaib remains committed to advancing cutting-edge research, fostering academic collaborations, and contributing transformative solutions in AI, robotics, and smart energy systems. His dedication and achievements make him a strong candidate for prestigious research awards and a key contributor to the future of AI in engineering and agriculture.

Publications Top Noted 

 

Mohammed Hussein | Applied Mathematics | Best Researcher Award

Posted on by Math Scientist

Prof. Mohammed Hussein | Applied Mathematics | Best Researcher Award

Academia at University of Baghdad, Iran

Dr. Mohammed Sabah Hussein is a distinguished Professor of Applied Mathematics at the University of Baghdad, College of Science, with a Ph.D. from the University of Leeds. With 18 years of teaching and research experience, his expertise spans inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He has made significant contributions to academia, mentoring postgraduate students and serving in leadership roles, including Head of the Mathematics Department. Dr. Hussein has an impressive publication record in high-impact journals and actively participates in international research collaborations. His academic reputation is reflected in his H-index rankings across Google Scholar, Scopus, and Clarivate. As a member of several professional societies and editorial boards, he is dedicated to advancing applied mathematics. His technical proficiency in MATLAB, Mathematica, and LaTeX, coupled with his extensive research on solving complex mathematical problems, makes him a leading figure in his field.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Mohammed Sabah Hussein earned his Ph.D. in Applied Mathematics from the University of Leeds, where he specialized in inverse problems for heat equations and numerical analysis. Prior to that, he obtained his Master’s and Bachelor’s degrees in Mathematics from the University of Baghdad, demonstrating early excellence in mathematical modeling and computational techniques. His academic journey has been marked by a strong foundation in mathematical theories, which he later expanded through advanced research in applied mathematics and fluid dynamics. Throughout his education, Dr. Hussein actively engaged in research projects that enhanced his expertise in solving complex mathematical problems, particularly in heat transfer and differential equations. His exposure to international academic environments enriched his analytical skills and deepened his understanding of mathematical applications in real-world scenarios. His educational background continues to influence his teaching and research, enabling him to contribute significantly to mathematical sciences and mentor future scholars in applied mathematics.

Professional Experience

Dr. Mohammed Sabah Hussein is a Professor of Applied Mathematics at the University of Baghdad, College of Science, with 18 years of experience in teaching and research. He has held several academic leadership roles, including serving as Head of the Mathematics Department, where he played a crucial role in curriculum development and faculty mentoring. Over the years, he has supervised numerous postgraduate students, guiding them in advanced mathematical research. Dr. Hussein has collaborated with international institutions on cutting-edge research projects in applied mathematics, enhancing interdisciplinary studies. He has also served as a reviewer and editorial board member for prestigious mathematical journals, contributing to the peer-review process. His expertise in numerical methods, fluid dynamics, and inverse problems has led him to participate in global awards and workshops, where he shares his insights with the academic community. His commitment to research and education solidifies his standing as a leading mathematician.

Research Interest

Dr. Mohammed Sabah Hussein’s research focuses on inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He specializes in solving complex differential equations that arise in real-world applications, particularly in heat transfer and fluid mechanics. His work extends to computational techniques using MATLAB and Mathematica, where he develops algorithms for accurate numerical solutions. Dr. Hussein is also interested in optimization methods and their applications in engineering and physical sciences. His research has contributed to advancements in thermal analysis and industrial processes, demonstrating the practical impact of applied mathematics. Additionally, he collaborates on interdisciplinary projects that integrate mathematics with physics and engineering, broadening the scope of mathematical applications. His publications in high-impact journals reflect his dedication to innovative mathematical research, and his continued exploration of numerical simulations and mathematical modeling ensures his contributions remain at the forefront of applied mathematics advancements.

Awards and Honors

Dr. Mohammed Sabah Hussein has received several prestigious awards and honors for his outstanding contributions to applied mathematics. His research excellence has been recognized with accolades from national and international academic institutions. He has been honored for his high-impact publications and has received grants for his work in mathematical modeling and numerical analysis. Dr. Hussein’s influence in academia is further demonstrated by his strong citation record and H-index rankings in Google Scholar, Scopus, and Clarivate. He has been invited as a keynote speaker at global awards and has received recognition for his mentorship of postgraduate students. His role in advancing mathematical sciences has been acknowledged through memberships in esteemed mathematical societies and editorial boards of reputed journals. These honors reflect his dedication to academic excellence and his influence on the broader mathematical research community.

Conclusion

Dr. Mohammed Sabah Hussein is a highly respected mathematician whose expertise in applied mathematics has significantly impacted academia and research. With a strong educational background and extensive professional experience, he has contributed to solving complex mathematical problems through advanced numerical analysis and modeling. His dedication to mentoring students, publishing high-impact research, and collaborating internationally highlights his commitment to the mathematical sciences. His awards and honors reflect his scholarly influence and contributions to mathematical research. As a professor, researcher, and mentor, Dr. Hussein continues to advance applied mathematics, ensuring its relevance in solving real-world challenges. His work in inverse problems, fluid dynamics, and computational methods cements his reputation as a leader in the field. Through his academic and research endeavors, he remains dedicated to pushing the boundaries of mathematical knowledge and inspiring future generations of mathematicians.

Publications Top Noted

1. Simultaneous determination of time-dependent coefficients in the heat equation

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov
Year: 2014
Citations: 61
Source: Computers & Mathematics with Applications, 67(5), 1065-1091

2. An inverse problem of finding the time‐dependent diffusion coefficient from an integral condition

Authors: M. S. Hussein, D. Lesnic, M. I. Ismailov
Year: 2016
Citations: 49
Source: Mathematical Methods in the Applied Sciences, 39(5), 963-980

3. Reconstruction of time-dependent coefficients from heat moments

Authors: M. J. Huntul, D. Lesnic, M. S. Hussein
Year: 2017
Citations: 45
Source: Applied Mathematics and Computation, 301, 233-253

4. Simultaneous determination of time and space-dependent coefficients in a parabolic equation

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 38
Source: Communications in Nonlinear Science and Numerical Simulation, 33, 194-217

5. Multiple time-dependent coefficient identification thermal problems with a free boundary

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov, H. A. Snitko
Year: 2016
Citations: 37
Source: Applied Numerical Mathematics, 99, 24-50

6. Direct and inverse source problems for degenerate parabolic equations

Authors: M. S. Hussein, D. Lesnic, V. L. Kamynin, A. B. Kostin
Year: 2020
Citations: 35
Source: Journal of Inverse and Ill-Posed Problems, 28(3), 425-448

7. Simultaneous determination of time-dependent coefficients and heat source

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 24
Source: International Journal for Computational Methods in Engineering Science and Mechanics

8. Identification of the time-dependent conductivity of an inhomogeneous diffusive material

Authors: M. S. Hussein, D. Lesnic
Year: 2015
Citations: 24
Source: Applied Mathematics and Computation, 269, 35-58

9. Determination of a time-dependent thermal diffusivity and free boundary in heat conduction

Authors: M. S. Hussein, D. Lesnic
Year: 2014
Citations: 23
Source: International Communications in Heat and Mass Transfer, 53, 154-163

10. Simultaneous Identification of Thermal Conductivity and Heat Source in the Heat Equation

Authors: M. J. Huntul, M. S. Hussein
Year: 2021
Citations: 20
Source: Iraqi Journal of Science, 1968-1978

11. A wavelet-based collocation technique to find the discontinuous heat source in inverse heat conduction problems

Authors: M. Ahsan, W. Lei, M. Ahmad, M. S. Hussein, Z. Uddin
Year: 2022
Citations: 16
Source: Physica Scripta, 97(12), 125208

12. Identification of a multi-dimensional space-dependent heat source from boundary data

Authors: M. S. Hussein, D. Lesnic, B. T. Johansson, A. Hazanee
Year: 2018
Citations: 16
Source: Applied Mathematical Modelling, 54, 202-220

13. Free boundary determination in nonlinear diffusion

Authors: M. S. Hussein, D. Lesnic, M. Ivanchov
Year: 2013
Citations: 16
Source: East Asian Journal on Applied Mathematics, 3(4), 295-310

14. Retrieval of Timewise Coefficients in the Heat Equation from Nonlocal Overdetermination Conditions

Authors: F. Anwer, M. S. Hussein
Year: 2022
Citations: 15
Source: Iraqi Journal of Science, 1184-1199

15. Numerical Solution to Recover Time-dependent Coefficient and Free Boundary from Nonlocal and Stefan Type Overdetermination Conditions in Heat Equation

Authors: M. Qassim, M. S. Hussein
Year: 2021
Citations: 15
Source: Iraqi Journal of Science, 62(3), 950-960

16. Determination of time-dependent coefficient in time fractional heat equation

Authors: Q. W. Ibraheem, M. S. Hussein
Year: 2023
Citations: 14
Source: Partial Differential Equations in Applied Mathematics, 7, 100492

17. Splitting the One-Dimensional Wave Equation, Part II: Additional Data are Given by an End Displacement Measurement

Authors: S. O. Hussein, M. S. Hussein
Year: 2021
Citations: 13
Source: Iraqi Journal of Science, 62(1), 233-239

18. Numerical Solution for Two-Sided Stefan Problem

Authors: M. S. Hussein, Z. Adil
Year: 2020
Citations: 12
Source: Iraqi Journal of Science, 61(2), 444-452

Irek Gubaydullin | Mathematical Modeling | Best Researcher Award

Posted on by Math Scientist

Prof. Dr. Irek Gubaydullin | Mathematical Modeling | Best Researcher Award

Prof. Dr. Irek Gubaydullin at Institute of Petrochemistry and Catalysis – Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Russia

Dr. Irek Marsovich Gubaydullin, born on May 21, 1959, is a distinguished Doctor of Physics and Mathematical Sciences and a Professor at the Institute of Petrochemistry and Catalysis, part of the Ufa Federal Research Centre of the Russian Academy of Sciences. He has authored over 300 scientific articles, with more than 100 indexed in international databases such as Web of Science and Scopus, including 17 in Q1 and Q2 quartiles. Dr. Gubaydullin holds over 30 certificates for computer program registrations and has supervised 8 PhD and 1 Doctoral thesis. He has also led 14 scientific research projects funded by the Russian National Science Foundation and the Russian Foundation for Basic Research. His key scientific contributions include developing computational systems for inverse problems in chemical kinetics, creating kinetic models for industrially significant reactions, and constructing mathematical models for mass transfer in fractured-pore type collectors. Dr. Gubaydullin’s work has significantly advanced the understanding and application of complex chemical processes, reflecting a profound commitment to scientific excellence.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Irek Marsovich Gubaydullin earned his Doctorate in Physics and Mathematical Sciences, establishing a robust foundation for his extensive research in chemical kinetics and mathematical modeling. His academic journey has been pivotal in his role as a professor at the Institute of Petrochemistry and Catalysis, Ufa Federal Research Centre of the Russian Academy of Sciences. Throughout his career, Dr. Gubaydullin has contributed significantly to the fields of computational chemistry and chemical engineering, authoring over 300 scientific articles and leading numerous research projects. His educational background has been instrumental in developing innovative methodologies and supervising emerging scholars in the scientific community.

Professional Experience

Dr. Irek Marsovich Gubaydullin, born on May 21, 1959, is a distinguished Doctor of Physics and Mathematical Sciences and a Professor at the Institute of Petrochemistry and Catalysis, a subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences. Throughout his illustrious career, Dr. Gubaydullin has authored over 300 scientific articles, with more than 100 indexed in international databases such as Web of Science and Scopus, including 17 in Q1 and Q2 quartiles. He holds over 30 certificates for computer program registrations, reflecting his significant contributions to computational methodologies in chemical kinetics and mass transfer modeling. As a mentor, he has supervised 8 PhD candidates and 1 doctoral thesis, fostering the next generation of scientists. Dr. Gubaydullin has also led 14 scientific research projects funded by the Russian National Science Foundation and the Russian Foundation for Basic Research, underscoring his leadership in advancing research in chemical kinetics, catalytic processes, and mathematical modeling.

Research Interest

Dr. Irek Marsovich Gubaydullin’s research interests are centered on the development of computational methods and mathematical models to solve complex problems in chemical kinetics and fluid dynamics. He has made significant contributions to the numerical modeling of piezoconductive processes in fractured-pore type reservoirs, employing finite difference methods to simulate fluid flow and heat transfer in porous media. His work also encompasses the reduction of chemical reaction mechanisms through sensitivity analysis, aiming to simplify complex chemical systems while maintaining accuracy. Additionally, Dr. Gubaydullin has explored the application of mathematical models in the optimization of chemical processes and the development of algorithms for selecting systems of horizontal wells in unconventional reservoirs. His interdisciplinary approach integrates principles from physics, chemistry, and mathematics to address challenges in petrochemical processes and reservoir engineering.

Award and Honor

Dr. Irek Marsovich Gubaydullin, born on May 21, 1959, is a distinguished Doctor of Physics and Mathematical Sciences and a Professor at the Institute of Petrochemistry and Catalysis, a subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences. Throughout his illustrious career, Dr. Gubaydullin has been recognized for his significant contributions to chemical kinetics and mathematical modeling. He has authored over 300 scientific articles, with more than 100 indexed in international databases such as Web of Science and Scopus, including 17 in Q1 and Q2 quartiles. Dr. Gubaydullin holds over 30 certificates for computer program registrations and has supervised 8 PhD and 1 Doctoral thesis. He has also led 14 scientific research projects funded by the Russian National Science Foundation and the Russian Foundation for Basic Research. His work has significantly advanced the understanding and application of complex chemical processes, reflecting a profound commitment to scientific excellence.

Conclusion

Dr. Irek Marsovich Gubaydullin is a distinguished researcher whose contributions to chemical kinetics, mathematical modeling, and computational methods have significantly impacted the fields of petrochemistry and catalysis. With over 300 scientific publications, including more than 100 indexed in Web of Science and Scopus, his research has demonstrated both depth and global relevance. His leadership in 14 scientific projects funded by prestigious research foundations, supervision of multiple PhD and doctoral theses, and development of novel methodologies for kinetic modeling, mass transfer analysis, and optimization of chemical reactions underscore his expertise and influence. His work in parallel computing, numerical algorithms, and catalyst regeneration has advanced industrial applications and theoretical frameworks alike. Dr. Gubaydullin’s dedication to scientific excellence, innovation, and mentorship solidifies his standing as a leading researcher. His groundbreaking contributions make him a highly deserving candidate for the Best Researcher Award, recognizing his lasting impact on science and technology.

Publications Top Noted

  • Title: Parallel Algorithms for Solving Mass Transfer Equations in the “Fracture Set – Matrix System”
    Authors: Ravil Uzyanbaev, Yury Poveshchenko, Viktoriia Podryga, Sergey Polyakov, Yuliya Bobreneva, Parvin Rahimly, Irek Gubaydullin
    Year: 2025
    Source: Book Chapter (Crossref)
  • Title: Numerical modeling of piezoconductive processes in a two-dimensional formulation for a fractured-pore type reservoir
    Authors: Ravil Munirovich Uzyanbaev, Yuliya Olegovna Bobreneva, Yuri Andreevich Poveschenko, Victoria Olegovna Podryga, Sergey Vladimirovich Polyakov, Irek Marsovich Gubaydullin
    Year: 2024
    Source: Keldysh Institute Preprints (Crossref)
  • Title: Parallel Algorithm for Calculating Two-Phase Filtration Processes in a Carbonate Reservoir in Plane Geometry
    Authors: Ravil M. Uzyanbaev, Yury A. Poveshchenko, Yuliya O. Bobreneva, Parvin I. Rahimly, Irek M. Gubaydullin
    Year: 2024
    Source: Book Chapter (Crossref)
  • Title: Numerical Modeling of Two-Phase Fluid Filtration for Carbonate Reservoir in Two-Dimensional Formulation
    Authors: Ravil M. Uzyanbaev, Yuliya O. Bobreneva, Yury A. Poveshchenko, Viktoriia O. Podryga, Sergey V. Polyakov, Parvin I. Rahimly, Irek M. Gubaydullin
    Year: 2024
    Source: Mathematics (Crossref)
  • Title: Averaging of the model of a chemical process in a catalyst layer with a spherical grain
    Authors: O.S. Yazovtseva, I.M. Gubaydullin, I.G. Lapshin
    Year: 2024
    Source: Numerical Methods and Programming (Crossref)
  • Title: Modeling of Chemical Processes Based on Parallel Computing for Multicore Systems
    Authors: Zagir Telyavgulov, Ilnur Akhmetov, Irek Gubaydullin
    Year: 2023
    Source: Book Chapter (Crossref)
  • Title: Using Parallel Technologies to Calculate Fluid Dynamic Processes in a Fractured-Porous Reservoir Taking into Account Non-isothermality
    Authors: Ravil M. Uzyanbaev, Yury A. Poveshchenko, Viktoriia O. Podryga, Sergey V. Polyakov, Yuliya O. Bobreneva, Parvin I. Rahimly, Irek M. Gubaydullin
    Year: 2023
    Source: Book Chapter (Crossref)
  • Title: A Kinetic Model of Catalytic Homocondensation of Acetone into Mesitylene
    Authors: V. Yu. Kirsanov, N. G. Grigor’eva, B. I. Kutepov, L. F. Korzhova, S. G. Karchevskii, A. A. Usmanova, K. F. Koledina, I. M. Gubaidullin
    Year: 2023
    Source: Petroleum Chemistry (Crossref)
  • Title: One Approach to Numerical Modeling of the Heat and Mass Transfers of Two-Phase Fluids in Fractured-Porous Reservoirs
    Authors: Yuliya O. Bobreneva, Yury Poveshchenko, Viktoriia O. Podryga, Sergey V. Polyakov, Ravil M. Uzyanbaev, Parvin I. Rahimly, Ainur A. Mazitov, Irek M. Gubaydullin
    Year: 2023
    Source: Mathematics (Crossref)
  • Title: Mathematical modeling of a multiphase flow in a single-pore reservoir
    Authors: Ainur Asgatovich Mazitov, Yuliya Olegovna Bobreneva, Irek Marsovich Gubaydullin, Yuri Andreevich Poveschenko
    Year: 2022
    Source: Keldysh Institute Preprints (Crossref)
  • Title: Parallel Computing in Solving the Problem of Interval Multicriteria Optimization in Chemical Kinetics
    Authors: Sergey Koledin, Kamila Koledina, Irek Gubaydullin
    Year: 2022
    Source: Book Chapter (Crossref)
  • Title: Parallel Algorithm for Calculating the Radius of Stability in Multicriteria Optimization Conditions for Catalytic Reforming of Gasoline
    Authors: Kamila Koledina, Sergey Koledin, Irek Gubaydullin
    Year: 2021
    Source: Book Chapter (Crossref)
  • Title: Pareto Frontier in Multicriteria Optimization of Chemical Processes Based on a Kinetic Model
    Authors: Kamila Koledina, Sergey Koledin, Irek Gubaydullin
    Year: 2021
    Source: Book Chapter (Crossref)
  • Title: Study of a mathematical model of gasoline catalytic reforming by sensitivity analysis methods
    Authors: L.F. Safiullina, K.F. Koledina, I.M. Gubaydullin, R.Z. Zainullin
    Year: 2020
    Source: Numerical Methods and Programming (Crossref)
  • Title: Forecast of water-cut at wells under design by machine learning methods
    Authors: Enikeev, M.R.; Fazlytdinov, M.F.; Enikeeva, L.V.; Gubaidullin, I.M.
    Year: 2019
    Source: CEUR Workshop Proceedings (Scopus – Elsevier)
  • Title: Kinetics and Mechanism of the Synthesis of Benzylbutyl Ether in the Presence of Copper-Containing Catalysts
    Authors: Koledina, K.F.; Gubaidullin, I.M.; Koledin, S.N.; Baiguzina, A.R.; Gallyamova, L.I.; Khusnutdinov, R.I.
    Year: 2019
    Source: Russian Journal of Physical Chemistry A (Scopus – Elsevier)
  • Title: Numerical analysis of gas flow dynamics of propane pyrolysis
    Authors: I. M. Gubaydullin, L. F. Nurislamova
    Year: 2018
    Source: Vestnik of Don State Technical University (Crossref)
  • Title: Numerical analysis of parameter identifiability for a mathematical model of a chemical reaction
    Authors: L.F. Nurislamova, I.M. Gubaydullin
    Year: 2018
    Source: Numerical Methods and Programming (Crossref)
  • Title: Analysis of corrosion process development on metals by means of computer vision
    Authors: Enikeev, M.; Gubaydullin, I.; Maleeva, M.
    Year: 2017
    Source: Engineering Journal (Scopus – Elsevier)
  • Title: Interplay of Conformational and Chemical Transformations of Ortho-Substituted Aromatic Nitroso Oxides: Experimental and Theoretical Study
    Authors: Chainikova, E.M.; Yusupova, A.R.; Khursan, S.L.; Teregulova, A.N.; Lobov, A.N.; Abdullin, M.F.; Enikeeva, L.V.; Gubaydullin, I.M.; Safiullin, R.L.
    Year: 2017
    Source: Journal of Organic Chemistry (Scopus – Elsevier)