Ana-Maria Bordei | Mathematics | Best Researcher Award

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Ms. Ana-Maria Bordei | Mathematics | Best Researcher Award

Research Scientist III from NATIONAL INSTITUTE FOR AEROSPACE RESEARCH “ELIE CARAFOLI” – INCAS, Bucharest, Romania

Dr. Ana-Maria Bordei is a seasoned researcher in Applied Mathematics, with particular expertise in control theory, delay differential equations (DDEs), and aerospace systems modeling. Currently serving as a Research Scientist III at the National Institute for Aerospace Research “Elie Carafoli” (INCAS) in Bucharest, she contributes significantly to Romania’s aerospace innovation landscape. Her work involves the mathematical modeling and control of UAV swarms, especially under time-delayed conditions—an area of growing significance in modern aerospace engineering. Dr. Bordei’s research merges deep theoretical knowledge with practical engineering applications, targeting problems in both aviation and biomedical sciences. She has authored several peer-reviewed articles in ISI-indexed journals and presented her work at major international conferences such as ICNFAA and ETAMS. Beyond research, she actively engages in technical workshops and collaborative missions such as orbital flight simulations and UAV traffic management systems. Her academic and professional journey exemplifies a balanced blend of analytical rigor, interdisciplinary thinking, and technical innovation. Dr. Bordei’s dedication to advancing aerospace science through mathematical precision makes her a leading figure in her field and a strong nominee for the Best Researcher Award. Her future work is anticipated to impact both theoretical advancements and real-world aerospace applications on a global scale.

Professional Profile

Education

Dr. Ana-Maria Bordei possesses a comprehensive academic background in mathematics and its applications in engineering and science. She earned her Ph.D. in Applied Mathematics from the University Politehnica of Bucharest between 2015 and 2020. Her doctoral research, titled “Control Delay Differential Equations with Applications in Engineering and Medicine,” focused on the development and analysis of dynamic control systems with delays—highly relevant to aerospace control strategies and medical modeling. Before pursuing her doctorate, she completed a Master’s degree in Applied Mathematics from the same university (2013–2015), where she deepened her understanding of differential equations, control systems, and optimization techniques. Her academic journey began with a Bachelor’s degree in Mathematics at the University ‘Dunărea de Jos’ in Galați (2009–2012), which provided a strong theoretical foundation. Throughout her studies, Dr. Bordei demonstrated consistent academic excellence and a passion for bridging mathematical theory with engineering applications. Her educational experiences have enabled her to work at the intersection of mathematics, aerospace systems, and biomedical modeling, making her well-equipped for both academic research and industrial collaboration. She continues to apply her academic background toward the development of innovative aerospace control systems and delay-based mathematical models.

Professional Experience

Since 2018, Dr. Ana-Maria Bordei has held the position of Research Scientist III at the National Institute for Aerospace Research “Elie Carafoli” (INCAS) in Bucharest, Romania. In this role, she contributes to national and international research projects focused on advanced aerospace technologies, including unmanned aerial vehicle (UAV) swarm modeling and orbital mission control systems. Her responsibilities include mathematical modeling, stability analysis, simulation, and control strategy development for delayed dynamic systems. She has played a pivotal role in various aerospace programs, including the Space System Laboratory’s orbital missions and UAV traffic management systems. Prior to her current role, Dr. Bordei was actively involved in academic research throughout her doctoral and postdoctoral journey, collaborating with prominent mathematicians and aerospace engineers. Her experience extends to the development of robust control algorithms, the application of PID and SDRE methods for spacecraft tracking, and stability analysis in nonlinear flight dynamics. She frequently collaborates across disciplines, working with engineers, physicists, and medical professionals to solve complex, real-world problems. Through her applied work and theoretical insight, Dr. Bordei demonstrates strong leadership and technical capabilities. Her professional trajectory reflects a consistent focus on bridging mathematics with aerospace engineering to drive research innovation.

Research Interests

Dr. Ana-Maria Bordei’s research interests lie at the nexus of applied mathematics and aerospace engineering, with a particular focus on control theory, delay differential equations (DDEs), stability analysis, and autonomous UAV systems. Her academic background in mathematics and her practical experience at INCAS have led her to investigate control problems involving time delays, a critical issue in the design of modern aerospace and engineering systems. One of her core research themes is the behavior of UAV swarms under delayed control feedback, for which she has developed novel mathematical models and stability theorems. She also explores the biomedical applications of DDEs, such as modeling the dynamics of chronic diseases like leukemia under drug treatment. This multidisciplinary approach allows her to apply rigorous mathematical methods to both engineering and healthcare challenges. Additionally, she has worked on spacecraft rendezvous and tracking control using PID and state-dependent Riccati equation (SDRE) methods. Dr. Bordei is particularly interested in expanding her research into intelligent control systems, nonlinear dynamics, and aerospace traffic management in increasingly autonomous and interconnected systems. Her work bridges theoretical insights with real-world application, ensuring that mathematical precision translates into engineering reliability.

Research Skills

Dr. Ana-Maria Bordei possesses a robust set of research skills that enable her to tackle complex problems in applied mathematics and control systems engineering. She has advanced expertise in the formulation and analysis of delay differential equations (DDEs), including their use in stability theory and dynamic modeling. Her computational skills include proficiency in MATLAB/Simulink for simulation of control systems and numerical analysis, and she is adept at using LaTeX for scientific documentation. She is experienced in the design of feedback control strategies, particularly PID and SDRE-based controllers, which she has applied to aerospace navigation and rendezvous problems. Dr. Bordei is also skilled in mathematical modeling of biological systems, notably in modeling the progression of diseases and treatment resistance. Her analytical capabilities are complemented by her ability to collaborate across disciplines and convey complex mathematical concepts to engineering audiences. She regularly contributes to research reports, peer-reviewed journal articles, and conference proceedings. Moreover, her involvement in experimental simulation environments and systems validation through real-time modeling at INCAS demonstrates her aptitude in applied research and technology transfer. These combined skills make her a valuable contributor to both academic and applied science communities.

Awards and Honors

Dr. Ana-Maria Bordei has earned notable recognition throughout her academic and professional career for her contributions to mathematics and aerospace research. While formal award titles are not extensively listed, her continuous progression within one of Romania’s leading aerospace research institutions (INCAS) reflects institutional acknowledgment of her expertise and innovation. Her selection to present at prominent international conferences such as ICNFAA, ETAMS, and AEROSPATIAL showcases her scholarly merit and the relevance of her research to the global community. Participation in prestigious summer schools such as Computational Tools for Delay Differential Equations underlines her academic potential and the recognition she has received from training bodies. In addition, her appointment as a Research Scientist III signifies both trust and leadership within her organization. Dr. Bordei’s co-authorship in multiple ISI-indexed journal articles, and invitations to contribute to collaborative projects across Europe, serve as implicit endorsements of her research caliber. While further international accolades or fellowships could elevate her profile globally, her consistent publication record and leadership roles in applied projects clearly mark her as a respected researcher in her field. Future award recognitions will likely follow as she continues to expand her research outreach and collaborations.

Conclusion

Dr. Ana-Maria Bordei exemplifies the qualities of an outstanding researcher through her interdisciplinary expertise, scientific rigor, and impactful contributions to applied mathematics and aerospace systems. Her academic foundation, fortified by a Ph.D. in Applied Mathematics, enables her to approach complex engineering challenges with precision and depth. Her work on delay differential equations and their application to UAV control systems not only advances theoretical knowledge but also addresses practical engineering problems of national and international significance. Through her role at INCAS, she has led and contributed to critical aerospace initiatives, cementing her as a key figure in Romania’s aerospace research community. She has consistently demonstrated scholarly excellence through her publications, presentations, and collaborative projects. Her future research holds promise in expanding into intelligent autonomous systems and broader biomedical modeling. With her unique blend of mathematical insight and engineering application, Dr. Bordei stands as a deserving candidate for the Best Researcher Award. Her trajectory indicates a strong potential for future leadership in academic and applied research environments, and her contributions continue to inspire innovation at the interface of mathematics, aerospace, and system control.

Publications Top Notes

  1. Dynamics of Chronic Myeloid Leukemia Under Imatinib Treatment: A Study of Resistance Development
    I. Badralexi, A.M. Bordei, A. Halanay, I.R. Rădulescu
    Mathematics, 2024, Vol. 12 (24), Article 3937
    ➤ Explores resistance development in leukemia using dynamic models under Imatinib therapy.

  2. Rank-One Perturbations and Stability of Some Equilibrium Points in a Complex Model of Cells Evolution in Leukemia
    I. Badralexi, A.M. Bordei, A. Halanay
    Scientific Bulletin. Series A, Polytechnical University of Bucharest, 2018
    ➤ Investigates mathematical stability conditions for leukemia cell models.

  3. Stability Analysis for a UAV Model in Longitudinal Flight
    A.M. Bordei, A. Halanay
    INCAS Bulletin, 2017, 9(4): 21–29
    ➤ Discusses stability in UAV dynamics under linear control approximations.

  4. Stability of Limit Cycles in a Longitudinal Flight of a UAV
    A.M. Bordei, A. Halanay
    AIP Conference Proceedings, 2018, 2046(1): 020011
    ➤ Addresses periodic behavior in nonlinear UAV flight systems.

  5. Stability Study for the Longitudinal Flight of Formations of UAVs Considering Delays in Controls
    A.M. Bordei, A. Halanay
    ➤ A systems-level analysis of UAV formations with time-delay feedback systems.

  6. Stability for Small Delays, Metzler Matrices and an Application to a Flight Controller Design
    A.M. Bordei, A. Halanay
    ➤ Theoretical insights into delay-tolerant flight controller synthesis using structured matrix theory.

  7. Using PID Controller and SDRE Methods for Tracking Control of Spacecrafts in Closed-Rendezvous Process
    T. Van Nguyen, A.M. Bordei, T.M. Nguyen, A. Ionita
    INCAS Bulletin, 2019, 11(1): 139–150
    ➤ Combines classical and nonlinear control techniques for precise satellite docking maneuvers.

 

 

Nacira Agram | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Nacira Agram | Mathematics | Best Researcher Award

Mathematics Department at KTH Royal, Algeria

Dr. Nacira Agram is an Associate Professor in the Department of Mathematics at KTH Royal Institute of Technology in Stockholm, Sweden. With a robust academic background and extensive research experience, her work primarily focuses on stochastic analysis, optimal control theory, and their applications in finance, insurance, and biology. Dr. Agram has made significant contributions to the field of applied mathematics, particularly in the study of stochastic differential equations and backward stochastic differential equations. Her research is characterized by a deep integration of theoretical mathematics with practical problem-solving, aiming to develop models that address real-world challenges. In addition to her research, Dr. Agram is actively involved in teaching and mentoring, guiding both master’s and doctoral students in their academic pursuits. Her international experience spans multiple countries, reflecting a commitment to fostering global academic collaborations and contributing to the advancement of mathematical sciences.

Professional Profile

Education

Dr. Agram’s academic journey began at the University of Biskra in Algeria, where she earned her Bachelor’s degree in Mathematics in 2008. She continued at the same institution to obtain her Master’s degree in Mathematics in 2010, focusing on stochastic analysis and optimal control. Her passion for these subjects culminated in a Ph.D. in Applied Mathematics from the University of Biskra in 2013, with a dissertation titled “Optimal Control in Infinite Time Horizon.” In 2021, Dr. Agram achieved the title of Docent from Linnaeus University in Växjö, Sweden, recognizing her substantial contributions to research and teaching in mathematics. This progression through rigorous academic training has equipped her with a solid foundation in both theoretical and applied aspects of mathematics, enabling her to tackle complex problems in her subsequent research and professional endeavors.

Professional Experience

Dr. Agram’s professional trajectory is marked by a series of esteemed positions across various academic institutions. Following her Ph.D., she served as an Associate Professor at the University of Biskra from 2014 to 2019, where she was instrumental in advancing the department’s research profile. She then pursued postdoctoral research at the University of Oslo in Norway between 2016 and 2018, collaborating on projects involving stochastic processes. In 2019, Dr. Agram joined Linnaeus University in Växjö, Sweden, as a Tenure-Track Assistant Professor, further honing her research and teaching skills. Her career advanced as she assumed the role of Associate Professor at KTH Royal Institute of Technology in March 2022, where she continues to contribute to the fields of probability, mathematical physics, and statistics. Throughout her career, Dr. Agram has demonstrated a commitment to academic excellence, interdisciplinary collaboration, and mentorship, impacting both her students and the broader mathematical community.

Research Interests

Dr. Agram’s research interests are centered around applied mathematics, with a particular emphasis on stochastic processes and optimal control theory. She delves into stochastic differential equations, backward stochastic differential equations, and partial differential equations, exploring their applications in various domains such as finance, insurance, and biology. Her work often involves the development of deep learning and reinforcement learning algorithms to solve complex optimal control problems, aiming to enhance decision-making processes in uncertain environments. Dr. Agram is also interested in the interplay between stochastic analysis and machine learning, seeking to leverage data-driven approaches to inform and improve mathematical models. Her interdisciplinary approach reflects a dedication to addressing practical problems through rigorous mathematical frameworks, contributing to advancements in both theory and application.

Research Skills

Dr. Agram possesses a diverse set of research skills that underpin her contributions to applied mathematics. She is proficient in stochastic modeling, adept at formulating and analyzing models that incorporate randomness to reflect real-world uncertainties. Her expertise extends to optimal control theory, where she develops strategies to influence dynamic systems towards desired objectives. Dr. Agram is skilled in the application of deep learning techniques, utilizing neural networks to approximate complex functions and solve high-dimensional problems. Her programming capabilities in Python, MATLAB, and C++ facilitate the implementation and simulation of mathematical models, enabling her to test hypotheses and validate theoretical findings. Additionally, her multilingual proficiency in Arabic, French, English, Norwegian, and Swedish enhances her ability to collaborate across diverse cultural and academic settings, fostering international research partnerships.

Awards and Honors

Throughout her career, Dr. Agram has been recognized for her academic excellence and research contributions. She has been the recipient of several prestigious grants, including a Starting Grant from KTH in 2024 amounting to 3 million SEK, and a VR Project Grant in 2020 totaling 3.6 million SEK, underscoring the significance and impact of her research endeavors. Her early academic achievements were marked by accolades such as the Best Bachelor Student Prize in 2008, Best Master Student Prize in 2010, and the First Ph.D. Defense Prize in 2013 from the University of Biskra, highlighting her consistent dedication to scholarly excellence. In 2017, Dr. Agram was selected to participate in the 5th Heidelberg Laureate Forum, an honor that connects promising researchers with laureates in mathematics and computer science, reflecting her standing in the global scientific community. These honors collectively attest to Dr. Agram’s sustained commitment to advancing mathematical sciences and her influence as a leading researcher in her field.

Conclusion

Dr. Nacira Agram exemplifies a distinguished scholar whose career seamlessly integrates rigorous research, dedicated teaching, and impactful mentorship. Her extensive work in stochastic analysis and optimal control has not only advanced theoretical mathematics but also provided practical solutions to complex problems in finance, insurance, and biology. Dr. Agram’s ability to secure significant research funding and her recognition through various awards underscore the value and relevance of her contributions to the scientific community. Her commitment to fostering international collaborations and guiding the next generation of mathematicians reflects a holistic approach to academia, where knowledge creation and dissemination go hand in hand. As she continues her tenure at KTH Royal Institute of Technology, Dr. Agram remains poised to make further strides in her research, inspiring both her peers and students through her exemplary dedication to the advancement of mathematical sciences.

Publication Top Notes

  1. “Deep learning for quadratic hedging in incomplete jump market”

    • Authors: Nacira Agram, Bernt Karsten Øksendal, Jan Rems
    • Year: 2024
    • Citations: 1

  2. “Optimal stopping of conditional McKean–Vlasov jump diffusions”

    • Authors: Nacira Agram, Bernt Karsten Øksendal
    • Year: 2024

Elkhateeb Aly | Mathematics | Best Researcher Award

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Assoc. Prof. Dr Elkhateeb Aly | Mathematics | Best Researcher Award

Faculty of Science at Jazan University, Saudi Arabia

Dr. Elkhateeb Sobhy Aly Elgarieb, an assistant professor in the Department of Mathematical Sciences at Jazan University, has made significant contributions to applied mathematics. His research spans several specialized fields such as stochastic systems, chaos theory, and bifurcation analysis, with a strong focus on fractional differential equations and nonlinear dynamics. He holds a Ph.D. in Applied Mathematics from Mansoura University and has extensive teaching experience at multiple universities, including Al Azhar University and Mansoura University in Egypt, as well as Jazan University in Saudi Arabia. Dr. Elkhateeb’s publications have garnered significant attention in the global academic community, contributing to both theoretical advancements and practical applications of mathematical concepts. His work, published in well-regarded journals like Fractal and Fractional and Mathematical Problems in Engineering, is influential in the field of applied mathematics and continues to inspire ongoing research. Throughout his academic career, he has also actively participated in peer reviews for scientific journals, further solidifying his reputation as a key contributor to the mathematics community.

Professional Profile

Education:

Dr. Elkhateeb Sobhy Aly Elgarieb completed his Bachelor of Science in Mathematics at Mansoura University in 2000, where he furthered his academic journey through pre-masters and master’s studies in pure mathematics. His pursuit of academic excellence led him to earn a Ph.D. in Applied Mathematics from Mansoura University in 2013. The depth of his education provided a strong foundation for his subsequent research endeavors. Dr. Elkhateeb’s advanced studies have not only shaped his professional career but have also positioned him as an expert in applied and theoretical mathematics. He remains connected to his alma mater and other institutions, contributing to the academic development of students and engaging in rigorous research that bridges mathematical theory with real-world applications. His academic qualifications highlight his dedication to pursuing knowledge and understanding in complex mathematical fields, making him a recognized figure in mathematical research.

Professional Experience:

Dr. Elkhateeb Sobhy Aly Elgarieb has extensive professional experience in both teaching and research within the field of mathematics. He has been an assistant professor in the Department of Mathematical Sciences at Jazan University since 2013, where he has contributed to teaching, research, and academic leadership. In addition to his role at Jazan University, he has served as a lecturer at Al Azhar University, one of Egypt’s oldest and most prestigious institutions, since 2005. His academic career spans nearly two decades, during which he has provided significant contributions to the development of mathematical curricula and research programs. Dr. Elkhateeb’s early professional experience includes research scholarships at Mansoura University’s Faculty of Science, where he developed a deep understanding of advanced mathematical theories. His diverse professional experience across multiple academic institutions in Egypt and Saudi Arabia reflects his commitment to both education and groundbreaking research, positioning him as an influential figure in the global academic community.

Research Interests:

Dr. Elkhateeb Sobhy Aly Elgarieb’s research interests primarily focus on applied mathematics, with a special emphasis on stochastic systems, chaos theory, and bifurcation analysis. His work explores the dynamics of fractional differential equations, particularly those driven by stochastic processes, and the behavior of nonlinear dynamical systems. He has made notable contributions to the study of chaotic systems and their control, employing methods such as the Riccati equation and bifurcation theory to analyze system stability. His research also extends to the field of fractional calculus, where he investigates the analytical solutions to fractional differential equations in diverse applications. Dr. Elkhateeb is also deeply involved in studying mathematical phenomena in complex systems, such as biological systems, and has worked on the interaction between different mathematical models, including predator-prey dynamics. By delving into these interdisciplinary areas, his research aims to provide deeper insights into the mathematical underpinnings of physical and biological processes.

Research Skills:

Dr. Elkhateeb Sobhy Aly Elgarieb’s research skills are rooted in advanced mathematical modeling, analytical techniques, and numerical simulations. He is proficient in solving complex mathematical equations, particularly fractional differential equations, using both analytical and numerical methods. His expertise in chaos theory and bifurcation analysis has led to novel insights in the behavior of nonlinear systems, and he employs methods such as the Riccati equation to derive analytical solutions. Dr. Elkhateeb is skilled in applying mathematical principles to real-world phenomena, such as the dynamics of biological systems and ecological models, where he uses stochastic methods to model uncertainty and randomness. His ability to integrate diverse mathematical techniques has made him a valuable researcher in applied mathematics. In addition, his experience in peer review and collaboration with other researchers highlights his strong communication skills and commitment to academic excellence. His interdisciplinary approach to problem-solving, combining mathematical theory with practical applications, makes him a sought-after contributor to international research.

Awards and Honors:

While Dr. Elkhateeb Sobhy Aly Elgarieb has not listed specific awards in his profile, his extensive research publication record and ongoing academic career are indicative of recognition within the academic and research communities. His work on chaotic systems, bifurcation analysis, and fractional calculus has earned him a reputation as a leading researcher in applied mathematics. Dr. Elkhateeb’s contributions to scientific journals such as Fractal and Fractional, Mathematical Problems in Engineering, and Engineering Computations suggest that his work is highly regarded by peers and scholars in the field. Additionally, his role as a reviewer for prestigious journals further underscores the recognition of his expertise and scholarly impact. His sustained academic success and research achievements, combined with his active involvement in the academic community, point to a career marked by ongoing contributions to mathematical science and education.

Conclusion:

Dr. Elkhateeb Sobhy Aly Elgarieb is a distinguished academic and researcher in the field of applied mathematics, with an impressive body of work focused on stochastic systems, chaos theory, and bifurcation analysis. His contributions to fractional calculus and nonlinear dynamics have garnered international recognition, establishing him as a leading figure in the mathematics community. His academic journey, from his Bachelor’s degree to his Ph.D. in Applied Mathematics, has been marked by a continuous pursuit of knowledge and innovation. Dr. Elkhateeb’s teaching career at esteemed institutions such as Jazan University and Al Azhar University showcases his commitment to fostering the next generation of mathematicians. His research skills, encompassing both analytical and numerical methods, have enabled him to make significant advances in his field. While his awards may not be explicitly listed, his ongoing research, peer reviews, and collaborations indicate that his contributions are widely respected. In conclusion, Dr. Elkhateeb’s academic achievements, research innovations, and dedication to mathematics make him a key figure in his field, and his future work promises continued advancements in applied mathematics and interdisciplinary research.

Publication Top Notes

  1. Density-Dependent Mortality of the Diving Beetle, Rhantus elevatus (Dytiscidae: Coleoptera) Preyed Upon Culex pipiens Larvae: Effects of Prey and Predator Densities
    • Authors: Rashed, A.A., Aly, E.S., Mashlawi, A.M., Bayoumy, M.H.
    • Year: 2025
  2. A Novel Approach on the Sequential Type ψ-Hilfer Pantograph Fractional Differential Equation with Boundary Conditions
    • Authors: Aly, E.S., Maheswari, M.L., Shri, K.S.K., Hamali, W.
    • Year: 2024
  3. Erratum: Correction to: Analytical Study of a Modified-ABC Fractional Order Breast Cancer Model
    • Authors: Aldwoah, K.A., Almalahi, M.A., Hleili, M., Aly, E.S., Shah, K.
    • Year: 2024
  4. Analytical Study of a Modified-ABC Fractional Order Breast Cancer Model
    • Authors: Aldwoah, K.A., Almalahi, M.A., Hleili, M., Aly, E.S., Shah, K.
    • Year: 2024
    • Citations: 2
  5. Weighted Fejér, Hermite–Hadamard, and Trapezium-Type Inequalities for (h1,h2–Godunova–Levin Preinvex Function with Applications and Two Open Problems
    • Authors: Ahmadini, A.A.H., Afzal, W., Abbas, M., Aly, E.S.
    • Year: 2024
    • Citations: 9
  6. Modeling Monkeypox Virus Transmission: Stability Analysis and Comparison of Analytical Techniques
    • Authors: Aly, E.S., Singh, M., Aiyashi, M.A., Albalwi, M.D.
    • Year: 2024
  7. Criteria of Existence and Stability of an N-Coupled System of Generalized Sturm-Liouville Equations with a Modified ABC Fractional Derivative and an Application to the SEIR Influenza Epidemic Model
    • Authors: Aly, E.S., Almalahi, M.A., Aldwoah, K.A., Shah, K.
    • Year: 2024
    • Citations: 1
  8. Some New Generalizations of Reversed Minkowski’s Inequality for Several Functions via Time Scales
    • Authors: Aly, E.S., Saied, A.I., Ibedou, I., Algolam, M.S., Mohammed, W.W.
    • Year: 2024
  9. Some Dynamic Hardy-Type Inequalities with Negative Parameters on Time Scales Nabla Calculus
    • Authors: Aly, E.S., Madani, Y.A., Gassem, F., Rezk, H.M., Mohammed, W.W.
    • Year: 2024
    • Citations: 3
  10. N-Dimension for Dynamic Generalized Inequalities of Hölder and Minkowski Type on Diamond Alpha Time Scales
  • Authors: Aly, E.S., Mahnashi, A.M., Zaagan, A.A., Saied, A.I., Mohammed, W.W.
  • Year: 2024
  • Citations: 1

 

 

Juan Zhang | Mathematics | Best Researcher Award

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Prof Dr. Juan Zhang | Mathematics | Best Researcher Award

professor, Xiangtan University , China

Juan Zhang is an exemplary candidate for the Best Researcher Award, distinguished by his extensive academic and research accomplishments. He holds a Ph.D. in Applied Mathematics and has risen to the rank of professor at Xiangtan University, where he actively contributes to the field of numerical algebra and matrix analysis. With over 24 publications in reputable journals indexed by the Science Citation Index, his research has significantly advanced understanding in critical areas of applied mathematics. Zhang’s accolades include the Special Prize of the 25th President Award of Xiangtan University and recognition as a Young Backbone Teacher, underscoring his excellence in both teaching and research. His international experience as a visiting scholar at renowned institutions further highlights his commitment to academic collaboration. Overall, Zhang’s impressive credentials and contributions position him as a leading figure in his field, making him a deserving recipient of this prestigious award.

Profile:

Education

Juan Zhang earned his Ph.D. in Applied Mathematics from Xiangtan University in June 2013, under the guidance of Prof. Jianzhou Liu. Prior to his doctoral studies, he obtained a Master of Arts in Operational Research and Cybernetics in June 2009, also from Xiangtan University, where he was mentored by Prof. Jianzhou Liu. His academic journey began with a Bachelor of Science in Information and Computing Science, which he completed in June 2006 at the same institution. Throughout his education, Juan demonstrated a strong aptitude for mathematics and computational science, laying a solid foundation for his future research endeavors. His rigorous training and comprehensive knowledge in these fields have significantly contributed to his successful academic career, enabling him to develop innovative numerical methods and algorithms that address complex mathematical problems.

Professional Experiences

Juan Zhang is a distinguished academic in the field of mathematics, currently serving as a Professor at the School of Mathematics and Computational Science at Xiangtan University since January 2021. His career at the university began in July 2013 as an Assistant Professor, where he laid a solid foundation for his subsequent promotion to Associate Professor in January 2016. In addition to his teaching and research roles, Juan has enriched his expertise through various international experiences, including a stint as a Visiting Scholar at the Department of Mathematics at the University of Macau in August 2015 and at the National University of Singapore in December 2017. His work has focused on numerical algebra and matrix analysis, contributing to advancements in computational methods and algorithms. Through his dedication to education and research, Juan Zhang has significantly influenced both his institution and the broader academic community.

 

Research skills

Juan Zhang is an accomplished researcher specializing in numerical algebra and matrix analysis, with a strong focus on the development and application of numerical algorithms. His research is characterized by a deep understanding of complex mathematical concepts and their practical applications in various scientific fields. He has demonstrated proficiency in formulating innovative solutions for large sparse linear systems, coupled algebraic Riccati equations, and generalized Lyapunov equations. His ability to collaborate effectively with peers is evident in his extensive publication record, which includes numerous articles in high-impact journals. Moreover, his contributions to teaching and mentoring young researchers showcase his commitment to advancing the field of applied mathematics. Juan’s adeptness in utilizing advanced computational techniques and his ongoing engagement in cutting-edge research make him a valuable asset to both the academic community and industry partners.

 

Awards And Recoginition

Juan Zhang, a distinguished professor at Xiangtan University, has received numerous accolades reflecting his exceptional contributions to applied mathematics and education. Notable recognitions include the Special Prize of the 25th President Award from Xiangtan University in 2020, highlighting his innovative teaching methods and impactful research. In the same year, he was honored as a Young Backbone Teacher by the Education Department of Hunan Province, underscoring his role in shaping future educators. His commitment to academic excellence is further exemplified by awards such as the Excellent Party Member of Xiangtan University (2021) and the Baosteel Excellent Student Award (2011). Juan’s dedication to advancing knowledge in numerical algebra and matrix analysis is evidenced by his extensive publication record in leading scientific journals, where he has contributed significantly to the field. These honors collectively demonstrate his leadership and influence in both research and education.

 

Conclusion

Juan Zhang exemplifies the qualities of an outstanding researcher deserving of the Best Researcher Award. His extensive academic journey, marked by a Ph.D. in Applied Mathematics and a progressive career at Xiangtan University, showcases his dedication to advancing knowledge in numerical algebra and matrix analysis. With over 24 influential publications in high-impact journals, his research not only contributes significantly to the field but also addresses critical challenges in applied mathematics. His numerous awards and recognitions further attest to his excellence in teaching and research, highlighting his impact on students and the academic community. Moreover, his collaborations as a visiting scholar in esteemed institutions illustrate his commitment to global academic engagement. Juan’s achievements reflect a remarkable combination of expertise, innovation, and service, making him an exemplary candidate for this prestigious award. Recognizing his contributions will inspire future researchers and promote excellence in academia.

 

Publication Top Notes

  • Backward Differentiation Formula Method and Random Forest Method to Solve Continuous-Time Differential Riccati Equations
    Authors: Juan Zhang, Wenwen Zou, Chenglin Sui
    Year: 2024
    Citation: Asian Journal of Control, DOI: 10.1002/asjc.3494
  • Low-Rank Generalized Alternating Direction Implicit Iteration Method for Solving Matrix Equations
    Authors: Juan Zhang, Wenlu Xun
    Year: 2024
    Citation: Computational and Applied Mathematics, DOI: 10.1007/s40314-024-02774-8
  • Hybrid Model of Tensor Sparse Representation and Total Variation Regularization for Image Denoising
    Authors: Kai Deng, Youwei Wen, Kexin Li, Juan Zhang
    Year: 2024
    Citation: Signal Processing, DOI: 10.1016/j.sigpro.2023.109352
  • A General Alternating-Direction Implicit Framework with Gaussian Process Regression Parameter Prediction for Large Sparse Linear Systems
    Authors: Kai Jiang, Xuehong Su, Juan Zhang
    Year: 2022
    Citation: SIAM Journal on Scientific Computing, DOI: 10.1137/21M1450197
  • Numerical Methods for the Minimal Non-Negative Solution of the Non-Symmetric Coupled Algebraic Riccati Equation
    Authors: Juan Zhang, Fangyuan Tan
    Year: 2021
    Citation: Asian Journal of Control, DOI: 10.1002/asjc.2205
  • The Generalized Modified Hermitian and Skew-Hermitian Splitting Method for the Generalized Lyapunov Equation
    Authors: Juan Zhang, Huihui Kang
    Year: 2021
    Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-020-0053-1
  • The Structure-Preserving Doubling Numerical Algorithm of the Continuous Coupled Algebraic Riccati Equation
    Authors: Juan Zhang, Shifeng Li
    Year: 2020
    Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-019-0368-y