Shenzhou Zheng | Differential Equations | Best Researcher Award

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Prof. Shenzhou Zheng | Differential Equations | Best Researcher Award

Professor at Beijing Jiaotong University, China

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

Professional Profile 

Scopus Profile
ORCID Profile 

🎓 Education

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

💼 Professional Experience

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

🔬 Research Interest

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

🏅 Awards and Honors

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

Conclusion

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

Publications Top Notes

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

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

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

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

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

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

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

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

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

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

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

 

Mojtaba Lashgari | Geometry | Best Researcher Award

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Dr. Mojtaba Lashgari | Geometry | Best Researcher Award

Research fellow at University of Oxford, United Kingdom

Dr. Mojtaba Lashgari is an accomplished researcher in biomedical engineering and computer science, currently serving as a postdoctoral researcher at the University of Oxford. With a PhD from the University of Leeds and a Marie Curie Early-Stage Research Scholarship, his work bridges artificial intelligence, medical image analysis, and computational modeling. Dr. Lashgari has published extensively in top-tier journals such as Medical Image Analysis and IEEE Transactions on Image Processing, focusing on virtual imaging trials, cardiac MRI, and coronary vessel segmentation. He has presented his research at international conferences and played active roles in scientific committees and conference organization. His interdisciplinary expertise, from MRI physics to deep learning, underpins innovative solutions in healthcare technology. Through academic service, teaching, and high-impact collaborations, Dr. Lashgari exemplifies scientific excellence and leadership. His work is contributing to the future of personalized medicine and diagnostic imaging, making him a highly deserving candidate for the Best Researcher Award.

Professional Profile 

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Education

Dr. Mojtaba Lashgari’s educational background reflects a strong interdisciplinary foundation in engineering, biomedical sciences, and computational research. He earned his PhD in Computer Science from the University of Leeds in 2023, where he specialized in advanced medical image analysis and virtual imaging trials. Prior to this, he completed a Master of Science in Biomedical Engineering from Isfahan University of Medical Sciences in 2016, graduating as the top-ranked student in his cohort. His academic journey began with a Bachelor of Science in Electrical Engineering from Malek-Ashtar University of Technology in 2013, where he developed a solid base in electronics and signal processing. This unique blend of electrical, biomedical, and computer science education has equipped Dr. Lashgari with the analytical, technical, and problem-solving skills required for high-level research in medical technology and artificial intelligence. His academic achievements have been consistently marked by excellence, innovation, and a clear focus on impactful, real-world applications.

Professional Experience

Dr. Mojtaba Lashgari has accumulated rich and diverse professional experience across leading academic institutions and interdisciplinary research domains. Currently, he serves as a Postdoctoral Researcher in the Department of Engineering Science at the University of Oxford (2023–2026), where he is engaged in pioneering research in medical imaging and AI-driven healthcare solutions. Prior to this, he worked as a part-time Technical Engineer at the Institute of Transport Studies, University of Leeds, contributing to computational modeling projects. His research journey also includes a tenure as a Graduate Researcher at the Medical Image and Signal Processing Research Centre in Isfahan, Iran, where he deepened his expertise in biomedical image analysis. Throughout his career, Dr. Lashgari has been actively involved in teaching, academic service, and organizing scientific events. His roles have consistently demonstrated his capabilities in bridging engineering, medicine, and computational sciences, establishing him as a well-rounded researcher with both technical depth and collaborative breadth.

Research Interest

Dr. Mojtaba Lashgari’s research interests lie at the dynamic intersection of medical imaging, computational modeling, and artificial intelligence. He is particularly passionate about developing innovative solutions for medical image analysis, with a focus on MRI physics, diffusion-weighted imaging, and virtual imaging trials. His work encompasses both model-based and image-based methodologies, integrating techniques such as finite element analysis, inverse problems, and machine and deep learning algorithms to simulate and interpret complex biological systems. A key area of his research involves the creation of patient-specific in-silico models to improve diagnostic accuracy and procedural planning in cardiovascular medicine. Dr. Lashgari is also deeply involved in advancing domain generalization methods for coronary vessel segmentation, aiming to enhance clinical applicability and robustness across diverse imaging environments. His interdisciplinary approach strives to bridge engineering, biomedical science, and data science, contributing significantly to the future of precision medicine and computational healthcare.

Award and Honor

Dr. Mojtaba Lashgari has been recognized with several prestigious awards and honors that underscore his academic excellence and impactful research contributions. He was awarded the esteemed Marie Sklodowska-Curie Early-Stage Research Doctoral Scholarship in 2018, a testament to his potential in cutting-edge scientific innovation at the European level. In 2024, he received a partial scholarship to attend the Virtual Imaging Trial in Medicine (VITM) Summit at Duke University, USA, further highlighting his growing international recognition. His academic brilliance was also evident early in his career when he ranked first in his M.Sc. Biomedical Engineering class at Isfahan University of Medical Sciences in 2016. These honors reflect Dr. Lashgari’s dedication to advancing medical imaging technologies and his leadership within the global research community. His active involvement in scientific committees and organization of high-impact academic events also reinforces his role as an emerging thought leader in biomedical engineering and computational imaging science.

Conclusion

Dr. Mojtaba Lashgari stands out as a highly accomplished and forward-thinking researcher at the intersection of biomedical engineering, computer science, and medical image analysis. With a PhD from the University of Leeds and a current postdoctoral position at the University of Oxford, his academic journey reflects a deep commitment to scientific excellence. His contributions span advanced MRI simulations, deep learning for image segmentation, and virtual imaging trials, underscoring his role in shaping the future of computational medical diagnostics. Recognized with prestigious awards such as the Marie Curie Fellowship and actively engaged in academic leadership, Dr. Lashgari has proven himself a driving force in interdisciplinary research. His impactful publications, teaching roles, and organizational contributions further highlight his versatility and dedication. With a visionary approach to science and a growing international presence, Dr. Lashgari is well-positioned to make lasting contributions to healthcare technology and deserves strong consideration for the Best Researcher Award.

Publications Top Notes

  1. Title: A comparative study of new and current methods for dental micro-CT image denoising
    Authors: M Shahmoradi, M Lashgari, H Rabbani, J Qin, M Swain
    Year: 2016
    Citations: 29
    Source: Dentomaxillofacial Radiology, 45(3), 20150302

  2. Title: Missing surface estimation based on modified Tikhonov regularization: Application for destructed dental tissue
    Authors: M Lashgari, M Shahmoradi, H Rabbani, M Swain
    Year: 2018
    Citations: 16
    Source: IEEE Transactions on Image Processing, 27(5), 2433–2446

  3. Title: A fast and accurate dental micro-CT image denoising based on total variation modeling
    Authors: M Lashgari, H Rabbani, M Shahmorad, M Swain
    Year: 2015
    Citations: 7
    Source: 2015 IEEE Workshop on Signal Processing Systems (SiPS), pp. 1–5

  4. Title: Three-dimensional micro-structurally informed in silico myocardium—Towards virtual imaging trials in cardiac diffusion weighted MRI
    Authors: M Lashgari, N Ravikumar, I Teh, JR Li, DL Buckley, JE Schneider, …
    Year: 2022
    Citations: 4
    Source: Medical Image Analysis, 82, 102592

  5. Title: Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories
    Authors: M Lashgari, RP Choudhury, A Banerjee
    Year: 2024
    Citations: 2
    Source: Frontiers in Cardiovascular Medicine, 11, 1398290

  6. Title: SpinDoctor-IVIM: A virtual imaging framework for intravoxel incoherent motion MRI
    Authors: M Lashgari, Z Yang, MO Bernabeu, JR Li, AF Frangi
    Year: 2025
    Citations: 1
    Source: Medical Image Analysis, 99, 103369

  7. Title: Reconstruction of Connected Digital Lines Based on Constrained Regularization
    Authors: M Lashgari, H Rabbani, G Plonka, I Selesnick
    Year: 2022
    Citations: 1
    Source: IEEE Transactions on Image Processing, 31, 5613–5628

  8. Title: Splitting and Merging for Active Contours: Plug-and-Play
    Authors: M Lashgari, A Banerjee, H Rabbani
    Year: 2025
    Source: Mathematics, 13(6), 991

  9. Title: Virtual Imaging Trial can Unveil the Relationship Between Intravascular Diffusivity and Intravoxel Incoherent Motion in MRI
    Authors: M Lashgari, Z Yang, MO Bernabeu, JR Li, AF Frangi
    Year: 2024
    Source: Proceedings Virtual Imaging Trials in Medicine 2024, 1, 146

  10. Title: An in silico imaging framework for microstructure-sensitive myocardial diffusion-weighted MRI
    Author: M Lashgari
    Year: 2023
    Source: PhD Thesis, University of Leeds

  11. Title: Myocardium numerical phantom at micro-scale: application in MRI simulation
    Authors: M Lashgari, N Ravikumar, I Teh, J Schneider, A Frangi
    Year: 2021
    Source: Book of Abstracts, ESMRMB 2021 Online, 38th Annual Scientific Meeting

 

Vesna Knights | Applied Mathematics | Women Researcher Award

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Prof. Vesna Knights | Applied Mathematics | Women Researcher Award

North Macedonia at Faculty of Technology and Technical Science, University “St. Kliment Ohridski”—Bitola, 7000 Bitola, North Macedonia, Macedonia

Professor Vesna (Antoska) Knights, Dr.Sc., is a distinguished academic and researcher with extensive experience in mathematical statistics, applied mathematics, and mathematical modelling. Serving as a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” – Bitola, she has held pivotal roles including Head of the Doctoral Studies Council and Vice Dean. Her scholarly contributions span biostatistics, optimization, automation, and data analysis, with active involvement in international collaborations such as the COST Action DE-PASS and ERASMUS+ teaching exchanges. With a career rooted in both academia and government statistical services, Professor Knights brings a multidisciplinary perspective to her work. Her research has been recognized through numerous publications indexed in Scopus and Web of Science. Dedicated to mentoring and policy-relevant research, she exemplifies leadership in science and education. Her broad expertise and impact make her a strong candidate for the Women Researcher Award.

Professional Profile 

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Education

Professor Vesna (Antoska) Knights holds a Doctor of Science (Dr.Sc.) degree in Technical Sciences, with a specialization in Applied Mathematics and Statistical Modelling. Her academic journey began with a degree in Mathematics, followed by postgraduate studies in Statistical Analysis and Mathematical Modelling, which laid a strong foundation for her interdisciplinary research career. Her doctoral work focused on applying mathematical frameworks to real-world industrial and biological systems, earning her recognition for integrating theoretical insight with practical application. Throughout her academic progression, she pursued international research exchanges and advanced trainings, including ERASMUS+ programs, which enriched her educational profile with global perspectives. Her commitment to continuous learning and academic excellence is evident in her participation in workshops, seminars, and specialized courses across Europe. Professor Knights’s education reflects a deep-rooted dedication to expanding knowledge and applying it to complex scientific, technological, and societal challenges.

Professional Experience

Professor Knights has a distinguished career spanning academia, public service, and international collaboration. Currently a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” – Bitola, she has held several leadership roles including Vice Dean and Head of the Doctoral Studies Council. She has extensive experience teaching undergraduate, graduate, and doctoral students in mathematics, statistics, data analysis, and optimization. Her early career includes service at the State Statistical Office of North Macedonia, where she contributed to national statistical methodology and data analysis frameworks. She is actively engaged in international mobility programs such as ERASMUS+ and serves as a scientific member in European research networks like the COST Action DE-PASS. With a professional background that bridges academia and applied statistics, Professor Knights has led multiple research projects, supervised doctoral theses, and established herself as a key figure in interdisciplinary academic initiatives throughout Europe.

Research Interest

Professor Knights’s research interests are deeply rooted in applied mathematics, mathematical statistics, and computational modelling. She specializes in biostatistics, systems optimization, industrial mathematics, and the application of statistical models in engineering and health sciences. Her interdisciplinary approach connects statistical theory with practical problems in automation, manufacturing, and biological systems. A significant part of her research has focused on parameter estimation, probabilistic analysis, and developing algorithms for data-driven decision-making in complex systems. She is also involved in health-related modelling within the context of physical activity and well-being, contributing to the European COST Action DE-PASS project. Her scientific output includes numerous publications indexed in Scopus and Web of Science, showcasing her commitment to advancing both theory and application. Professor Knights is particularly enthusiastic about mentoring young researchers and fostering cross-disciplinary collaboration, reflecting her belief in the transformative power of mathematical modelling in solving global challenges.

Award and Honor

Throughout her career, Professor Vesna Knights has received various accolades that reflect her dedication to science, education, and leadership. She has been recognized at institutional and national levels for her outstanding teaching performance and contributions to academic development. Her research excellence has earned her invitations to serve as a reviewer and editorial board member for peer-reviewed international journals. Her participation in the prestigious COST Action DE-PASS highlights her standing in the European research community. Additionally, she has been a keynote speaker and guest lecturer in ERASMUS+ programs and international conferences, where her work has been lauded for its impact and innovation. As a mentor and academic advisor, she has received commendations for guiding doctoral students and young researchers in developing cutting-edge research methodologies. These honors underscore her significant influence across educational, scientific, and professional landscapes, positioning her as a role model and advocate for women in science and mathematics.

Conclusion

Professor Vesna (Antoska) Knights exemplifies academic excellence, interdisciplinary innovation, and leadership in mathematical sciences. Her career bridges theoretical depth with real-world application, impacting fields from biostatistics and industrial optimization to health science and data analytics. As a dedicated educator, she inspires students and researchers alike, fostering a vibrant academic environment that emphasizes rigor, creativity, and societal relevance. Her international collaborations, leadership in doctoral education, and participation in high-impact European research networks underscore her role as a globally engaged scholar. The recognition she has received through awards, research invitations, and institutional honors speaks to her sustained contributions to the scientific community. Professor Knights is not only a distinguished researcher but also a passionate advocate for scientific collaboration, education, and mentorship. Her legacy continues to influence the next generation of scientists, making her a worthy recipient of honors such as the Women Researcher Award, and a beacon of excellence in contemporary mathematical science.

Publications Top Notes

  • Title: Nonlinear Dynamics and Machine Learning for Robotic Control Systems in IoT Applications
    Authors: V. Antoska-Knights, O. Petrovska, J. Gajdoš Kljusurić
    Year: 2024
    Citations: 1
    Source: Future Internet

  • Title: Machine Learning Models and Mathematical Approaches for Predictive IoT Smart Parking
    Authors: V. Knights, O. Petrovska, J. Bunevska-Talevska, M. Prchkovska
    Year: 2025
    Source: Sensors, 25(7), 2065

  • Title: Enhancing Smart Parking Management through Machine Learning and AI Integration in IoT Environments
    Authors: V. Antoska-Knights, O. Petrovska, M. Prchkovska
    Year: 2025
    Citations: 4
    Source: IntechOpen Limited, pp. 25–49

  • Title: Learning and AI Integration in IoT
    Authors: V. Knights, O. Petrovska, M. Prchkovska
    Year: 2025
    Source: Navigating the Internet of Things in the 22nd Century

  • Title: Mathematical Analysis of Statistical Design of Experiment and Machine Learning Methods in Identifying Factors Influencing Obesity
    Authors: V. Knights, T. Blazevska, G. Markovic, J.G. Kljusurić
    Year: 2024
    Source: Medical Research Archives, 12(9)

  • Title: Примена на статистички методи… со потекло oд Македонија, Косово и Албанија
    Authors: B. Durmishi, V. Antoska-Knights
    Year: 2024
    Source: Годишна Конференција на студентите на трет циклус студии

  • Title: Pollution of the Fifth Canal on the Crna River in the Region of Bitola
    Authors: T. Blazhevska, V. Pavlova, V. Knights, N. Gruevska, E. Delinikolova, et al.
    Year: 2024
    Source: IJFTN International Journal of Food Technology and Nutrition, 7(13–14), 138–143

  • Title: The Presence of Escherichia coli and Enterococcus in the Water of the Fifth Canal and Black River near Bitola
    Authors: T. Blazhevska, V. Pavlova, V. Knights, V. Stamatovska, M. Sviderski, et al.
    Year: 2024
    Source: Journal of Agriculture and Plant Sciences, 22(1), 9–13

  • Title: Machine Learning Techniques for Modelling and Predicting the Influence of Kefir in a Low-Protein Diet on Kidney Function
    Authors: V. Knights, E.D. Gavriloska
    Year: 2024
    Source: Medical Research Archives, 12(7)

  • Title: Textural and Sensory Characteristics of Yogurt Manufactured with Liquid Whey and Strawberry Supplementation
    Authors: A. Hyseni, T. Kalevska, D. Nikolovska Nedelkoska, G. Dimitrovska, et al.
    Year: 2024
    Source: Journal of Food Science and Technology (Iran), 21(150), 139–150

  • Title: Integrating Machine Learning and AI into IoT-Enabled Smart Parking
    Authors: V. Knights, O. Petrovska, M. Prchkovska
    Year: 2024
    Source: International Conference on Innovations in Technology, Business and Society

  • Title: From Equations to Predictions: Understanding the Mathematics and Machine Learning of Multiple Linear Regression
    Authors: V. Knights, M. Prchkovska
    Year: 2024
    Citations: 7
    Source: Journal of Mathematical & Computer Applications, 3(2), 1–8

  • Title: Recommendations and Use of Calcium, Vitamin D, and Appropriate Nutrition in Patients with Rheumatoid Diseases
    Authors: D. Zhubi, V. Pavlova, M. Zhubi, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
    Year: 2024
    Citations: 1
    Source: Journal of Hygienic Engineering & Design, 47

  • Title: Modeling and Implementation of Smart Parking System
    Authors: O. Petrovska, V. Knights, A.F. Turkeshi
    Year: 2024
    Source: Book of Abstracts, 12

  • Title: Mineral Composition of Fresh Cow’s Milk and the Importance of Minerals in the Human Diet
    Authors: V. Loshi, I. Nikqi, E. Gajdoš Kljusurić, V. Antoska-Knights
    Year: 2024
    Source: Journal of Hygienic Engineering and Design, 48, 30–34

  • Title: A Survey on the Motivation, Attitudes, and Frequency of Use of Dietary Supplements in Cancer Patients
    Authors: K. Dina, V. Pavlova, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
    Year: 2024
    Source: Journal of Hygienic Engineering and Design

  • Title: Textural and Sensory Properties of Yogurt Obtained by Bioconversion of Milk-Liquid Whey Mixture and Aronia Supplementation
    Authors: A. Hyseni, T. Kalevska, D. Nikolovska-Nedelkoska, G. Dimitrovska, et al.
    Year: 2024
    Source: Poljoprivreda i Sumarstvo, 70(1), 115–126

  • Title: Dynamic Modeling and Simulation of Mobile Robot under Disturbances and Obstacles in an Environment
    Authors: V. Knights, O. Petrovska
    Year: 2024
    Citations: 6
    Source: Journal of Applied Mathematics & Computation, 8, 59–67

  • Title: Mathematical Modelling of Determining the Dynamics of the Nutritional Value Content of Classic Kefir and Three Types of Flavors of Functional Kefir
    Authors: E.D. Gavriloska, T. Kalevska, G. Dimitrovska, J.G. Kljusurić, V.A. Knights
    Year: 2023
    Source: Horizons – International Scientific Journal, 1(1), 116–129

 

Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

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Prof. Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

Dr.Sci. at Institute for Informatics and Automation Problems NAS of Republic of Armenia

Professor Ashot Sergei Gevorkyan is a distinguished theoretical physicist and mathematician specializing in quantum physics, mathematical modeling, and complex dynamical systems. Serving as Head of Scientific Direction for Modeling of Multiscale Physical-Chemical Processes, he has significantly contributed to foundational quantum mechanics, quantum chaos, stochastic systems, and spin dynamics. With a PhD from Leningrad State University and a Doctor of Sciences from St. Petersburg State University, his career spans prestigious institutions across Armenia and Russia. Prof. Gevorkyan has led numerous international research projects, including INTAS and ISTC grants, and developed high-performance parallel algorithms for quantum simulations. His prolific publication record in leading journals like Foundations of Physics, Physics of Atomic Nuclei, and Particles highlights groundbreaking work on quantum vacuum, three-body systems, and self-organizing processes. A former editorial board member of the Journal of Computational Science (Elsevier), he continues to push the boundaries of quantum theory and computational modeling with remarkable depth and innovation.

Professional Profile 

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ORCID Profile

Education

Professor Ashot Gevorkyan earned his foundational education in theoretical physics and mathematics at the Leningrad State University, where he received his PhD in Physics and Mathematics in 1978. His doctoral work focused on nonlinear dynamical systems and quantum mechanics. He later earned the prestigious Doctor of Sciences degree in 1990 from the renowned St. Petersburg State University, cementing his expertise in the fields of quantum physics and applied mathematics. Throughout his academic journey, Prof. Gevorkyan has continually integrated rigorous mathematical frameworks with physical theory, demonstrating a strong interdisciplinary foundation. His academic background set the stage for decades of pioneering research at the interface of theoretical physics, stochastic dynamics, and computational modeling. In addition to his formal degrees, Prof. Gevorkyan has participated in numerous international workshops, advanced courses, and research collaborations, enriching his academic repertoire and keeping him at the forefront of contemporary physics and mathematical innovation.

Professional Experience

Prof. Ashot Gevorkyan has held a variety of prominent academic and research roles throughout his distinguished career. He began as a researcher at the Yerevan Physics Institute and later joined the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia, where he led groundbreaking work in theoretical modeling and computational physics. He also served as a professor at the State Engineering University of Armenia and collaborated internationally with institutions in Russia and across Europe. Currently, he is Head of the Scientific Direction for Modeling of Multiscale Physical-Chemical Processes. Prof. Gevorkyan has been a principal investigator in multiple large-scale international research projects under the auspices of INTAS, ISTC, and other funding bodies, focusing on quantum chaos, complex systems, and nonlinear dynamics. His leadership in scientific modeling and computational theory has earned him a reputation as a trailblazer in both academic and applied physics communities.

Research Interest

Prof. Ashot Gevorkyan’s research interests lie at the intersection of theoretical physics, quantum mechanics, and complex dynamical systems. He is particularly renowned for his work in quantum chaos, stochastic dynamics, and modeling of multiscale systems. His investigations explore the nature of quantum vacuum, self-organizing processes in quantum systems, and nonlinear spin dynamics in stochastic fields. He has also made notable advances in mathematical modeling using high-performance parallel computing to simulate many-body quantum systems and dissipative environments. His work often combines mathematical rigor with physical intuition, producing results that influence both theory and practical applications. Prof. Gevorkyan’s research portfolio extends to optical turbulence, quantum three-body problems, and fractal structures in open quantum systems. His cross-disciplinary approach has fostered collaborations across mathematics, physics, and computer science, contributing significantly to our understanding of complex physical phenomena and enabling new computational techniques in modern physics.

Award and Honor

Throughout his career, Prof. Ashot Gevorkyan has received numerous awards and honors recognizing his exceptional contributions to science. He has been honored by leading scientific institutions for his pioneering work in quantum theory and mathematical modeling. His projects have received support and recognition from international research programs such as INTAS (International Association for the promotion of cooperation with scientists from the New Independent States of the former Soviet Union) and ISTC (International Science and Technology Center), reflecting the global impact of his research. He has been invited to serve as a keynote speaker and visiting scientist at several prominent international conferences and workshops. Prof. Gevorkyan also served on the editorial board of the Journal of Computational Science (Elsevier), a role that underscores his status as a leading voice in the computational physics community. These accolades affirm his influence in shaping contemporary research across theoretical and applied physics.

Conclusion

Professor Ashot Gevorkyan stands as a luminary in the fields of theoretical physics and computational mathematics. His deep expertise in quantum systems, chaotic dynamics, and complex modeling has not only advanced fundamental science but also provided new computational tools for understanding nature’s most intricate processes. With a career spanning over four decades, he has demonstrated an unwavering commitment to scientific excellence through research, teaching, and international collaboration. His interdisciplinary work bridges theoretical insights with practical innovations, setting a high standard in modern scientific inquiry. Recognized both nationally and internationally, Prof. Gevorkyan continues to inspire the global scientific community through his profound intellect, visionary ideas, and groundbreaking publications. His legacy is defined by a lifelong pursuit of knowledge and a passion for decoding the complexities of the universe through mathematics and physics.

Publications Top Notes

  • Title: General Three-Body Problem in Conformal-Euclidean Space: New Properties of a Low-Dimensional Dynamical System
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2024
    Source: Particles, 2024

  • Title: Quantum Chromodynamics of the Nucleon in Terms of Complex Probabilistic Processes
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2024
    Citations: 1
    Source: Symmetry, 2024

  • Title: Time-Dependent 4D Quantum Harmonic Oscillator and Reacting Hydrogen Atom
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2023
    Citations: 1
    Source: Symmetry, 2023

  • Title: Theoretical and Numerical Study of Self-Organizing Processes in a Closed System Classical Oscillator and Random Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev, K.A. Movsesyan
    Year: 2022
    Citations: 2
    Source: Mathematics, 2022

  • Title: Hidden Dynamical Symmetry and Quantum Thermodynamics from the First Principles: Quantized Small Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2021
    Citations: 3
    Source: Symmetry, 2021

  • Title: Gamma Radiation Production Using Channeled Positron Annihilation in Crystals
    Authors: A.S. Gevorkyan, K.B. Oganesyan, Y.V. Rostovtsev, G. Kurizki
    Year: 2015
    Citations: 61
    Source: Laser Physics Letters, 12(7), 076002

  • Title: Dielectric Permittivity Superlattice Formation
    Authors: G.A. Amatuni, A.S. Gevorkyan, S.G. Gevorkian, A.A. Hakobyan, K.B. Oganesyan, et al.
    Year: 2008
    Citations: 60
    Source: Laser Physics, 18, 608–620

  • Title: Statistical Properties of Random Environment of 1D Quantum N-Particles System in External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan
    Year: 2010
    Citations: 45
    Source: Physics of Atomic Nuclei, 73, 320–325

  • Title: A Disordered 1D Quantum N-Particle System in an Environment under the Influence of an External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan, G.O. Sargsyan, et al.
    Year: 2010
    Citations: 44
    Source: Physica Scripta, 2010 (T140), 014045

  • Title: Quantum-Mechanical Channel of Interactions Between Macroscopic Systems
    Authors: R.S. Sargsyan, G.G. Karamyana, A.S. Gevorkyan, A.Y. Khrennikov
    Year: 2010
    Citations: 22
    Source: AIP Conference Proceedings, 1232(1), 267

  • Title: Random Motion of Quantum Harmonic Oscillator – Thermodynamics of Nonrelativistic Vacuum
    Authors: A.V. Bogdanov, A.S. Gevorkyan, A.G. Grigoryan
    Year: 1999
    Citations: 20
    Source: AMS IP Studies in Advanced Mathematics, 13, 81–112

  • Title: Bioscope: New Sensor for Remote Evaluation of the Physiological State of Biological Systems
    Authors: R.S. Sargsyan, A.S. Gevorkyan, G.G. Karamyan, V.T. Vardanyan, et al.
    Year: 2011
    Citations: 15
    Source: Physical Properties of Nanosystems, 299–309

  • Title: Three Body Multichannel Scattering as a Model of Irreversible Quantum Mechanics
    Authors: A.V. Bogdanov, A.S. Gevorkyan
    Year: 1997
    Citations: 13
    Source: arXiv preprint, quant-ph/9712022

  • Title: Nonrelativistic Quantum Mechanics with Fundamental Environment
    Author: A.S. Gevorkyan
    Year: 2012
    Citations: 12
    Source: Theoretical Concepts of Quantum Mechanics, 161–187

  • Title: Retracted: New Mathematical Conception and Computation Algorithm for Study of Quantum 3D Disordered Spin System under the Influence of External Field
    Authors: A.S. Gevorkyan, C.K. Hu, S. Flach
    Year: 2010
    Citations: 12
    Source: Transactions on Computational Science VII, E1–E1

  • Title: Regular and Chaotic Quantum Dynamics in Atom-Diatom Reactive Collisions
    Authors: A.S. Gevorkyan, A.V. Bogdanov, G. Nyman
    Year: 2008
    Citations: 12
    Source: Physics of Atomic Nuclei, 71, 876–883

  • Title: Exactly Solvable Models of Stochastic Quantum Mechanics within the Framework of Langevin-Schroedinger Type Equations
    Author: A.S. Gevorkyan
    Year: 2004
    Citations: 11
    Source: Topics in Analysis and its Applications, 415–442

  • Title: A New Parallel Algorithm for Simulation of a Spin-Glass System on Scales of Space-Time Periods of an External Field
    Authors: A.S. Gevorkyan, A.G. Abadzhyan, G.S. Sukiasyan
    Year: 2011
    Citations: 10
    Source: Lab. of Information Technologies

 

Lavinia Ciungu | Algebra | Best Researcher Award

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Dr. Lavinia Ciungu | Algebra | Best Researcher Award

Associate Professor at St. Francis College, United States

Dr. Lavinia Corina Ciungu is an accomplished mathematician and educator currently serving as an Associate Professor at St. Francis College, New York. With dual PhDs in Mathematics from the University of Bucharest and SUNY Buffalo, she brings a global academic perspective to her work. Her research focuses on algebraic logic, quantum structures, and fuzzy systems, with numerous publications in high-impact journals such as Fuzzy Sets and Systems and Algebra Universalis. Dr. Ciungu has actively contributed to international conferences and academic communities through invited talks, session chair roles, and student mentorship. She is also deeply involved in curricular innovation, community engagement, and faculty service, including leadership in diversity and STEM outreach initiatives. Her excellence in both teaching and research is underscored by awards such as the AMS–NSF travel grant and the SUNY Buffalo Outstanding Teaching Assistant Award. Dr. Ciungu exemplifies scholarly dedication, pedagogical innovation, and leadership in advancing mathematics and inclusive education.

Professional Profile 

Scopus Profile

Education

Dr. Lavinia Corina Ciungu holds two doctoral degrees in Mathematics, reflecting her deep academic dedication and international scholarship. She earned her first PhD from the University of Bucharest, Romania, where she developed a strong foundation in abstract algebra, fuzzy logic, and theoretical mathematics. Later, she pursued and completed a second PhD at the State University of New York (SUNY) at Buffalo, USA, further broadening her expertise with a focus on logic algebras and algebraic structures within fuzzy systems. Throughout her educational journey, Dr. Ciungu demonstrated outstanding academic performance and research excellence, earning several distinctions and scholarships. Her interdisciplinary training across two continents has equipped her with a unique perspective that bridges classical and modern mathematical approaches. This extensive and rigorous academic background laid the groundwork for her future research contributions and teaching career in higher education, both in Romania and the United States.

Professional Experience

Dr. Lavinia Corina Ciungu has cultivated a distinguished professional career in academia, currently serving as an Associate Professor of Mathematics at St. Francis College in New York. Prior to this role, she held teaching and research appointments at several respected institutions, including SUNY Buffalo, where she served as a Teaching Assistant and Lecturer. Her professional portfolio showcases a strong commitment to both education and scholarship. She has taught a wide range of undergraduate and graduate courses in algebra, calculus, logic, and discrete mathematics. Beyond classroom instruction, Dr. Ciungu actively mentors students, supervises independent research projects, and contributes to curriculum development. Her administrative and committee roles include serving on college-wide initiatives that promote STEM engagement, diversity, and academic excellence. With experience in both European and American academic systems, she brings a global perspective to teaching, research, and service. Her dedication to student success and institutional growth reflects her status as a well-rounded academic professional.

Research Interest

Dr. Lavinia Corina Ciungu’s research interests lie at the intersection of algebraic structures, fuzzy logic, and lattice theory, with a special emphasis on quantum structures and algebraic logic. Her work contributes to the development of generalizations of MV-algebras, BL-algebras, pseudo-BCK algebras, and residuated lattices, which are fundamental in many-valued and non-classical logic systems. A significant portion of her research focuses on applying these algebraic frameworks to fuzzy systems and decision-making models, which have practical implications in computer science, artificial intelligence, and information theory. She has published numerous peer-reviewed articles in leading journals such as Fuzzy Sets and Systems, Soft Computing, and Algebra Universalis. Dr. Ciungu also engages in collaborative, interdisciplinary research, exploring the applications of mathematical logic to quantum computing and uncertainty modeling. Her scholarly contributions are recognized for their depth, originality, and impact, positioning her as an influential voice in both pure and applied mathematical research communities.

Award and Honor

Dr. Lavinia Corina Ciungu has received several prestigious awards and honors throughout her academic and professional career, recognizing her excellence in research, teaching, and service. Notably, she was awarded the American Mathematical Society–National Science Foundation (AMS–NSF) travel grant, enabling her to present her work at major international conferences. During her time at SUNY Buffalo, she received the Outstanding Teaching Assistant Award for her exceptional instructional abilities and student engagement. Her doctoral dissertation was also commended for its originality and significance in the field of algebraic logic. Dr. Ciungu has been invited as a speaker and session chair at global mathematical conferences, further affirming her reputation in the international academic community. In addition to these accolades, she has been recognized for her mentoring efforts, diversity advocacy, and contributions to curriculum innovation at St. Francis College. These honors reflect her multifaceted impact as a scholar, educator, and community leader in mathematics.

Conclusion

Dr. Lavinia Corina Ciungu stands out as a dynamic and accomplished mathematician whose career embodies a rare blend of rigorous research, pedagogical excellence, and meaningful academic service. With dual PhDs and a strong international background, she brings depth and innovation to her research in algebraic logic, fuzzy systems, and quantum structures. Her professional contributions extend beyond the classroom through mentorship, curriculum development, and institutional leadership. Dr. Ciungu’s accolades, including competitive grants and teaching awards, underscore her influence in both theoretical mathematics and applied disciplines. She remains deeply committed to fostering inclusive learning environments and advancing STEM education, particularly for underrepresented groups. Her interdisciplinary approach and global engagement have enriched academic communities and contributed to the evolving landscape of modern mathematics. As a scholar, educator, and role model, Dr. Ciungu continues to inspire future generations of mathematicians while making lasting contributions to the advancement of mathematical sciences worldwide.

Publications Top Notes

📚 Selected Publications of Dr. Lavinia Corina Ciungu

  1. Title: Centers of Quantum-Wajsberg Algebras
    Author: L.C. Ciungu (Lavinia Corina Ciungu)
    Year: 2024
    Source: Journal of Applied Logics

  1. Title: Implicative-Orthomodular Algebras
    Author: L.C. Ciungu (Lavinia Corina Ciungu)
    Year: 2023
    Source: Bulletin of the Belgian Mathematical Society – Simon Stevin

  1. Title: Valued Quantum B-Algebras
    Author: L.C. Ciungu (Lavinia Corina Ciungu)
    Year: 2023
    Source: Fuzzy Sets and Systems

  1. Title: Deductive Systems in Unital Quantum-B Algebras
    Author: L.C. Ciungu (Lavinia Corina Ciungu)
    Year: 2022
    Source: Bulletin of the Belgian Mathematical Society – Simon Stevin

 

Zoriana Danel | Mathematical Physics | Best Researcher Award

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Assoc. Prof. Dr. Zoriana Danel | Mathematical Physics | Best Researcher Award

WIMiF at Cracow University of Technology, Poland

Dr. Zoriana Danel (formerly Zoryana Usatenko) is an accomplished physicist with a distinguished career in theoretical and condensed matter physics. Born in Lviv in 1968, she earned her Ph.D. in Physics and Mathematics from the Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine and later completed her habilitation at Jagiellonian University in Poland. Currently an Associate Professor with Habilitation at the Faculty of Materials Engineering and Physics, Cracow University of Technology, she has an extensive background in soft matter physics, polymer physics, statistical physics, and biophysics. Dr. Danel has held numerous prestigious international fellowships, including from the von Humboldt Foundation and DAAD, and has contributed to various international research collaborations. A prolific speaker and author, she has presented at major conferences across Europe and Asia and published extensively. Fluent in multiple languages, she is also actively engaged in academic supervision and peer review.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Zoriana Danel began her academic journey in physics with a strong foundation in Lviv, Ukraine. She obtained her Ph.D. in Physics and Mathematics in 1996 from the Institute for Condensed Matter Physics at the National Academy of Sciences of Ukraine, under the mentorship of Prof. I.V. Stasyuk. Her doctoral research focused on statistical theories related to condensed matter systems. Recognizing her growing expertise, she pursued and successfully completed her Habilitation (D.Sc.) in 2014 at the Jagiellonian University in Kraków, Poland, further solidifying her academic authority in theoretical and condensed matter physics. Her postdoctoral development included prestigious fellowships in Germany, enabling her to work under top international scholars and expand her research network. With a strong academic background shaped by institutions known for their scientific rigor, Dr. Danel has built an interdisciplinary and globally informed scientific profile, seamlessly integrating education, research, and international collaboration throughout her academic evolution.

Professional Experience

Dr. Zoriana Danel has accumulated a wealth of professional experience across esteemed institutions in Ukraine, Poland, and Germany. Early in her career, she contributed as a researcher at the Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine, where she honed her skills in statistical physics and soft matter theory. Following her habilitation, she joined the Faculty of Materials Engineering and Physics at the Cracow University of Technology in Poland, where she currently serves as an Associate Professor with Habilitation. Her academic duties include supervising master’s and doctoral theses, mentoring early-career researchers, and developing physics curricula. Dr. Danel has also held prestigious research fellowships and visiting professorships in institutions across Germany, including positions supported by the Alexander von Humboldt Foundation and the DAAD. Through her roles in academia and international research, she has consistently bridged theoretical development with practical applications, cultivating an impactful and respected academic career.

Research Interest

Dr. Zoriana Danel’s research interests are both broad and deeply specialized, reflecting her expertise in theoretical physics and her interdisciplinary approach. She focuses primarily on soft matter physics, polymer physics, and statistical physics, with particular emphasis on the theoretical modeling of complex systems. Her studies often address the behavior of polymers in disordered environments, confined geometries, and the influence of fractal structures on macromolecular dynamics. She also engages in biophysical research, examining biological polymers and their interaction with cellular structures. Using tools from statistical mechanics and field theory, Dr. Danel investigates how environmental constraints and topological factors affect the behavior of macromolecules, such as DNA and synthetic polymers. Her work contributes significantly to understanding nanoscale phenomena and the physics of self-organization. By connecting theoretical insights to experimental observations, she has fostered collaborations with material scientists, chemists, and biophysicists, thereby advancing interdisciplinary research with potential applications in nanotechnology and biotechnology.

Award and Honor

Throughout her career, Dr. Zoriana Danel has been the recipient of numerous prestigious awards and fellowships that underscore her international recognition and scientific excellence. Most notably, she has received a fellowship from the Alexander von Humboldt Foundation in Germany, a testament to the global impact of her research in physics. She has also been a recipient of multiple DAAD fellowships, which supported her scientific work at German institutions and fostered valuable international collaboration. In addition, Dr. Danel was selected as a visiting researcher at top-tier German universities, such as the Technical University of Munich and Heinrich Heine University Düsseldorf. Her contributions to theoretical physics and interdisciplinary studies have consistently been acknowledged through invitations to present at international conferences and by peer-reviewed journals where she serves as a reviewer. These accolades reflect her sustained excellence in research, her dedication to scientific progress, and her leadership within the international academic community.

Conclusion

Dr. Zoriana Danel is a distinguished physicist whose career exemplifies academic rigor, international collaboration, and scientific innovation. With a strong foundation in theoretical and condensed matter physics, she has expanded her expertise into soft matter, biophysics, and interdisciplinary research. Her educational journey, marked by a Ph.D. from Ukraine and habilitation in Poland, and professional engagements across leading European institutions, highlight her adaptability and influence. Through her pioneering research on polymers in complex environments and her contributions to statistical physics, she continues to push the boundaries of modern theoretical understanding. Dr. Danel’s accolades, including the Humboldt and DAAD fellowships, further affirm her global standing. Beyond her research, she is a dedicated educator and mentor, shaping the next generation of physicists. Her career is a model of how scientific curiosity, rigorous scholarship, and international engagement can converge to make a lasting impact in both academia and applied science.

Publications Top Notes

  • Title: Analytical and Numerical Investigation of Star Polymers in Confined Geometries
    Authors: Zoriana Danel, Joanna Halun, Paweł Karbowniczek
    Year: 2024
    Source: International Journal of Molecular Sciences
    DOI: 10.3390/ijms25179561

  • Title: Entropic Force in a Dilute Solution of Real Ring Polymer Chains with Different Topological Structures in a Slit of Two Parallel Walls with Mixed Boundary Conditions
    Authors: Piotr Kuterba, Zoriana Danel, Wolfhard Janke
    Year: 2023
    Source: Condensed Matter Physics
    DOI: 10.5488/cmp.26.43605

  • Title: Molecular Dynamics Simulations of the Monomer Density Profiles of Knotted Ring Polymer Chains Confined in a Slit of Two Parallel Walls with One Attractive and Another Repulsive Surface
    Authors: P. Kuterba, H. Christiansen, Z. Danel, W. Janke
    Year: 2023
    Source: Journal of Physics: Conference Series
    DOI: 10.1088/1742-6596/2436/1/012031

  • Title: Investigation of Ring and Star Polymers in Confined Geometries: Theory and Simulations
    Authors: Zoriana Danel
    Year: 2021
    Source: Entropy
    DOI: 10.3390/e23020242

  • Title: Photoelectrical Properties and Surface Examination of Luminescent Copolymer Compounds
    Authors: Zoriana Danel
    Year: 2020
    Source: Applied Surface Science
    DOI: 10.1016/j.apsusc.2020.147366

  • Title: Investigations of the Optical and Thermal Properties of the Pyrazoloquinoline Derivatives and Their Application for OLED Design
    Authors: Zoriana Danel
    Year: 2020
    Source: Polymers
    DOI: 10.3390/polym12112707

  • Title: Corrigendum to “Monomer Density Profiles of Real Polymer Chains in Confined Geometries”
    Authors: Zoriana Danel
    Year: 2020
    Source: Journal of Molecular Liquids
    DOI: 10.1016/j.molliq.2019.112066

  • Title: Erratum: “Monomer Density Profiles for Polymer Chains in Confined Geometries: Massive Field Theory Approach”
    Authors: Zoriana Danel
    Year: 2019
    Source: The Journal of Chemical Physics
    DOI: 10.1063/1.5120038

  • Title: Ring Polymer Chains Confined in a Slit Geometry of Two Parallel Walls: The Massive Field Theory Approach
    Authors: Zoriana Danel
    Year: 2017
    Source: Journal of Statistical Mechanics: Theory and Experiment
    DOI: 10.1088/1742-5468/aa5285

  • Title: Polymer Chains in Confined Geometries: Massive Field Theory Approach
    Authors: Zoriana Danel
    Year: 2009
    Source: Physical Review E
    DOI: 10.1103/physreve.80.041802

 

Thoraya Alharthi | Dynamical Systems | Best Researcher Award

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Dr. Thoraya Alharthi | Dynamical Systems | Best Researcher Award

University of Bisha, Saudi Arabia

Dr. Thoraya Namesh Alharthi is an accomplished mathematician with over 11 years of academic and research experience, currently serving as an Assistant Professor at Bisha University, Saudi Arabia. She holds a Ph.D. in Mathematics from the University of Exeter (2023), a Master’s degree with honors from Taif University (2016), and a Bachelor’s degree with honors from King Khalid University (2011). Her research focuses on nonlinear dynamical systems, bifurcation theory, chaotic dynamics, and tipping points in forced systems—areas with significant theoretical and applied relevance. Dr. Alharthi has actively participated in prestigious international conferences across the UK, France, and the USA, presenting her work and engaging with the global research community. She is known for her creativity, commitment to continuous development, and dedication to volunteering. With strong academic credentials, international exposure, and a passion for innovative mathematics, Dr. Alharthi represents a promising researcher making meaningful contributions to the field.

Professional Profile 

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Education

Dr. Thoraya Namesh Alharthi has pursued an exemplary academic journey marked by distinction and dedication to mathematics. She earned her Ph.D. in Mathematics in 2023 from the University of Exeter, United Kingdom, where she deepened her expertise in nonlinear dynamical systems and related fields. Prior to her doctoral studies, she completed her Master’s degree in Mathematics with Excellent with Honors in 2016 at Taif University, Saudi Arabia. Her academic journey began with a Bachelor’s degree in Mathematics from King Khalid University in 2011, where she also graduated with Excellent with Honors. Her consistent academic excellence across all levels reflects her commitment to mastering mathematical theory and its applications. Dr. Alharthi’s education spans both national and international institutions, equipping her with a broad, interdisciplinary, and global perspective that enriches her research and teaching endeavors in the field of mathematics.

Professional Experience

Dr. Alharthi brings over 11 years of professional experience in higher education, holding various academic positions across prominent Saudi institutions. She is currently serving as an Assistant Professor of Mathematics at Bisha University, where she contributes to both teaching and research in advanced mathematical topics. Prior to her current role, she worked as a Lecturer and Teaching Assistant at King Khalid University and later at Bisha University. Her professional trajectory demonstrates a progressive rise through academic ranks, showcasing her ability to balance instructional duties with research activities. She is recognized for her effective teaching methodologies, mentorship, and dedication to student development. In addition to her university roles, Dr. Alharthi has actively participated in workshops and seminars to enhance her academic and pedagogical skills. Her professional experience reflects a deep commitment to mathematics education, continuous learning, and fostering academic excellence in her students and peers alike.

Research Interest

Dr. Thoraya Alharthi’s research interests lie at the forefront of theoretical and applied mathematics. Her primary focus is on nonlinear dynamical systems, with special emphasis on bifurcation theory, chaotic dynamics, and nonautonomous systems. She is particularly interested in the mathematical modeling of real-world phenomena, including tipping points in forced systems, a concept relevant to climate science, ecological transitions, and engineering systems. Dr. Alharthi investigates the behavior of complex systems under various conditions, aiming to uncover the underlying structures and instabilities that lead to qualitative shifts in system dynamics. Her work incorporates both analytical and numerical approaches, demonstrating a balance of theoretical rigor and computational modeling. Through her active participation in international conferences and seminars, she continues to engage with current developments in the global research landscape. Her research contributes meaningfully to understanding critical transitions in nonlinear systems, an area with broad interdisciplinary and practical implications.

Awards and Honors

Throughout her academic career, Dr. Thoraya Alharthi has consistently demonstrated excellence, earning recognition and honors that reflect her outstanding contributions. While specific named awards are not detailed in the provided information, her academic achievements speak volumes—graduating with Excellent with Honors in both her Bachelor’s and Master’s programs highlights her intellectual rigor and commitment. Her successful admission and completion of a Ph.D. program at the University of Exeter, a globally respected institution, further illustrates her exceptional academic capability and research potential. Moreover, her participation in prestigious international conferences, including Dynamics Days (UK, France, USA), BMC-BAMC in Glasgow, and other specialized mathematical workshops, positions her as a globally engaged researcher. These platforms are competitive and academically demanding, signifying peer recognition of her research. Her commitment to professional development, continuous learning, and global academic exchange further underscores her status as a rising scholar in mathematics.

Conclusion

Dr. Thoraya Namesh Alharthi is a dedicated and forward-thinking mathematician with a strong academic foundation, extensive teaching experience, and an active research portfolio. Her work in nonlinear dynamical systems and bifurcation theory holds significance for both pure and applied mathematics. With over a decade of academic service, she has built a reputation for intellectual rigor, collaborative spirit, and a passion for continuous development. Her active engagement in international academic forums enhances the visibility and impact of her work, while her personal values—volunteering, perseverance, and creativity—add depth to her professional identity. Although further documentation of her publications and awards would bolster her academic profile, Dr. Alharthi’s trajectory suggests a promising future. She stands as a strong candidate for recognition through prestigious awards such as the Best Researcher Award, symbolizing the next generation of scholars committed to advancing mathematical knowledge and contributing to global scientific challenges.

Publications Top Notes

  • “Hidden-like Attractors in a Class of Discontinuous Dynamical Systems”

    • Authors: Hany A. Hosham, Mashael A. Aljohani, Eman D. Abou Elela, Nada A. Almuallem, Thoraya N. Alharthi​MDPI+1AIMS Press+1

    • Year: 2024​MDPI

    • Citation: Hosham, H.A., Aljohani, M.A., Abou Elela, E.D., Almuallem, N.A., & Alharthi, T.N. (2024). Hidden-like Attractors in a Class of Discontinuous Dynamical Systems. Mathematics, 12(23), 3784.​MDPI

    • Source: https://www.mdpi.com/2227-7390/12/23/3784

  • “A Class of Discontinuous Systems Exhibit Perturbed Period Doubling Bifurcation”

    • Authors: Hany A. Hosham, Alaa A. Alzulaibani, Tarek Sellami, Khaled Sioud, Thoraya N. Alharthi​AIMS Press

    • Year: 2024​

    • Citation: Hosham, H.A., Alzulaibani, A.A., Sellami, T., Sioud, K., & Alharthi, T.N. (2024). A Class of Discontinuous Systems Exhibit Perturbed Period Doubling Bifurcation. AIMS Mathematics, 9(9), 25098-25113.​

    • Source: https://www.aimspress.com/article/doi/10.3934/math.20241223

  • “Vaccination Strategies in a Stochastic SIVR Epidemic Model”

  • “A Study of Dynamical Features and Novel Soliton Structures of Complex-Coupled Maccari’s System”

    • Authors: N. Abbas, A. Hussain, M. Bakouri, T.N. Alharthi, I. Khan​

    • Year: 2025​

    • Citation: Abbas, N., Hussain, A., Bakouri, M., Alharthi, T.N., & Khan, I. (2025). A Study of Dynamical Features and Novel Soliton Structures of Complex-Coupled Maccari’s System. AIMS Mathematics, 10(2), 3025-3040.​

    • Source: https://www.aimspress.com/article/doi/10.3934/math.2025204

  • “Bifurcation and Chaos in Simple Discontinuous Systems Separated by a Hypersurface”

 

 

 

Mi Zhou | Analysis (Real, Complex, Functional) | Best Researcher Award

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Prof. Mi Zhou | Analysis (Real, Complex, Functional) | Best Researcher Award

Dean of Center for Mathematical Research of University of Sanya at University of Snaya, China

Prof. Mi Zhou is a distinguished mathematician and the Dean of the Center for Mathematical Research at the University of Sanya, China. With a strong academic background, including an M.S. in Operations Research and Cybernetics from Sichuan Normal University, Prof. Zhou has built an impressive career in mathematical research and education. His expertise lies in fixed point theory, variational inequalities, metric spaces, and their applications in optimization and neural networks. Over the years, he has published extensively in high-impact SCIE journals, contributing significantly to mathematical analysis and applied mathematics. He has also led multiple scientific research projects funded by the Natural Science Foundation of Hainan Province and the Sanya City Research Cooperation Project. With a rich teaching and research career spanning nearly two decades, Prof. Zhou has made substantial contributions to advancing mathematical sciences, fostering research collaborations, and mentoring young scholars in the field.

Professional Profile 

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Education

Prof. Mi Zhou holds a Master of Science (M.S.) degree in Operations Research and Cybernetics from Sichuan Normal University, China. His academic journey has been rooted in rigorous mathematical training, equipping him with a strong foundation in optimization, mathematical modeling, and analytical techniques. Throughout his studies, he developed expertise in functional analysis, fixed point theory, and nonlinear optimization, which later became central to his research. His educational background laid the groundwork for his contributions to mathematical sciences, enabling him to explore diverse areas such as metric spaces and variational inequalities. His commitment to academic excellence is evident in his extensive research output and dedication to mentoring students. By combining theoretical knowledge with practical applications, Prof. Zhou has continuously expanded the boundaries of mathematical research and education.

Professional Experience

Prof. Mi Zhou is a highly respected academic and researcher, currently serving as the Dean of the Center for Mathematical Research at the University of Sanya, China. With nearly two decades of experience in teaching and research, he has played a vital role in advancing mathematical education and fostering a research-oriented academic environment. Throughout his career, he has held various leadership positions, overseeing research projects and curriculum development. His professional experience includes supervising graduate students, collaborating with researchers worldwide, and leading funded projects supported by organizations such as the Natural Science Foundation of Hainan Province. Prof. Zhou has also contributed to the editorial boards of renowned scientific journals and served as a peer reviewer for high-impact publications. His extensive academic career reflects his dedication to the growth of mathematical sciences, ensuring that both research and education continue to evolve through innovative methodologies and interdisciplinary collaborations.

Research Interest

Prof. Mi Zhou’s research interests span several critical areas of mathematics, including fixed point theory, variational inequalities, metric spaces, and their applications in optimization and neural networks. His work primarily focuses on the theoretical foundations and practical implications of mathematical models that solve complex optimization problems. He has made significant contributions to nonlinear analysis, particularly in developing new approaches to solving equilibrium problems and improving convergence analysis in iterative methods. His research also extends to the intersection of mathematics and artificial intelligence, where he explores the role of mathematical structures in deep learning and data-driven modeling. Prof. Zhou’s studies have been widely recognized in international journals, contributing to advancements in mathematical modeling, operations research, and applied mathematics. By bridging the gap between theory and real-world applications, he continues to drive progress in mathematical research and its practical implementation across various disciplines.

Awards and Honors

Prof. Mi Zhou has received numerous awards and honors in recognition of his outstanding contributions to mathematical sciences. His research excellence has earned him funding from prestigious institutions such as the Natural Science Foundation of Hainan Province and the Sanya City Research Cooperation Project. As a prolific researcher, he has been recognized for his impactful publications in SCIE-indexed journals, many of which have been widely cited by the global academic community. His leadership in mathematical research has also led to invitations as a keynote speaker at international conferences and workshops. Additionally, Prof. Zhou has received commendations for his excellence in teaching, highlighting his ability to inspire and mentor young mathematicians. His dedication to both research and education has established him as a leading figure in the field, garnering national and international recognition for his contributions to mathematical sciences and their applications.

Conclusion

Prof. Mi Zhou is a distinguished mathematician, educator, and researcher whose contributions to mathematical sciences have significantly impacted both academia and industry. With a strong educational background in operations research and cybernetics, he has built an extensive career focused on fixed point theory, variational inequalities, and optimization. As the Dean of the Center for Mathematical Research at the University of Sanya, he has played a pivotal role in advancing research, mentoring students, and fostering collaborations. His work, widely published in high-impact journals, continues to influence the fields of mathematical modeling and computational optimization. Recognized through multiple awards and funded research projects, Prof. Zhou remains at the forefront of mathematical innovation. His commitment to excellence in research and education ensures that his legacy will continue to shape the future of mathematical sciences for generations to come.

Publications Top Notes

1. Approximating Fixed Points of Weak Enriched Contractions Using Kirk’s Iteration Scheme of Higher Order

  • Authors: Mi Zhou, Naeem Saleem, Mujahid Abbas

  • Year: 2024

  • Citations: 2

  • Source: Journal of Inequalities and Applications

  • DOI: 10.1186/S13660-024-03097-2

2. Fractals of Two Types of Enriched (q,θ)-Hutchinson–Barnsley Operators

  • Authors: Rizwan Anjum, Muhammad Din, Mi Zhou

  • Year: 2024

  • Citations: 6

  • Source: Chaos, Solitons and Fractals

3. Fixed Point Results for Generalized Convex Orbital Lipschitz Operators

  • Authors: Mi Zhou, Guohui Li, Naeem Saleem, Ovidiu Popescu, Nicolae Adrian Secelean

  • Year: 2024

  • Citations: 1

  • Source: Demonstratio Mathematica

4. A New Approach for Fixed Point Theorems for C-Class Functions in Hilbert C-Modules*

  • Authors: Mi Zhou, Arsalan Hojjat Ansari, Choonkil Park, Snjezana Maksimovic, Zoran D. Mitrovic

  • Year: 2024

  • Source: AIMS Mathematics

  • DOI: 10.3934/MATH.20241400

5. Best Proximity Points for Alternative p-Contractions

  • Authors: Mi Zhou, Nicolae Adrian Secelean, Naeem Saleem, Mujahid Abbas

  • Year: 2024

  • Source: Journal of Inequalities and Applications

  • DOI: 10.1186/S13660-024-03078-5

6. On Two New Contractions and Discontinuity on Fixed Points

  • Authors: Mi Zhou, Naeem Saleem, Xiao-lan Liu, Nihal Ozgur

  • Year: 2022

  • Citations: Not Available

  • Source: AIMS Mathematics

  • DOI: 10.3934/MATH.2022095

7. Robust Design for 3-DoF Anti-Windup Framework Based on QFT

  • Authors: Xiaoqin Mo, Mi Zhou, Yuan Wang, Zhen Lin, Zhengqing Li, Zhongshen Li

  • Year: 2022

  • Source: Journal of Process Control

  • DOI: 10.1016/J.JPROCONT.2022.10.005

8. Solution of Fractional Integral Equations via Fixed Point Results

  • Authors: Mi Zhou, Naeem Saleem, Shahid Bashir

  • Year: 2022

  • Source: Journal of Inequalities and Applications

  • DOI: 10.1186/S13660-022-02887-W

9. Some Fixed Point Results for Alpha-Admissible Extended Z-Contraction Mappings in Extended Rectangular b-Metric Spaces

  • Authors: Yan Sun, Xiao-lan Liu, Jia Deng, Mi Zhou

  • Year: 2022

  • Source: AIMS Mathematics

  • DOI: 10.3934/MATH.2022205

10. Some New Phi-Fixed Point and Phi-Fixed Disc Results via Auxiliary Functions

  • Authors: Yan Sun, Xiao-lan Liu, Jia Deng, Mi Zhou, Huan Zhang

  • Year: 2022

  • Source: Journal of Inequalities and Applications

  • DOI: 10.1186/S13660-022-02852-7

11. Best Proximity Point Theorems without Fuzzy P-Property for Several (ψ − ϕ)-Weak Contractions in Non-Archimedean Fuzzy Metric Spaces

  • Authors: Mi Zhou, Naeem Saleem, Antonio Francisco Roldán López de Hierro, Xiaolan Liu

  • Year: 2022

  • Source: Mathematics

  • DOI: 10.3390/math10214031

12. Fixed Point of Modified F-Contraction with an Application

  • Authors: Min Wang, Naeem Saleem, Shahid Bashir, Mi Zhou

  • Year: 2022

  • Source: Axioms

  • DOI: 10.3390/axioms11080413

13. Coupled Fixed Point Theorems with Rational Type Contractive Condition via C-Class Functions and Inverse Ck-Class Functions

  • Authors: Xiaolan Liu, Mi Zhou, Arslan H. Ansari, Kalyan Chakrabarti, Mujahid Abbas, Laxmi Rathour

  • Year: 2022

  • Source: Symmetry

  • DOI: 10.3390/sym14081663

 

 

Alexander Bratus | Applied Mathematics | Best Researcher Award

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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 

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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