Yu Xiao | Mathematics | Best Researcher Award

Posted on by sciencefather

Assoc Prof Dr. Yu Xiao | Mathematics | Best Researcher Award

Doctoral Supervisor at Harbin Institute of Technology, China.

Yu Xiao, an Associate Professor at Harbin Institute of Technology, holds a Ph.D. in Mathematics and specializes in numerical methods for stochastic differential equations, stability and synchronization theory, and networked control systems. His research focuses on almost sure stability in stochastic systems under periodic intermittent control, employing advanced methodologies like stochastic analysis and multiple Lyapunov functions. Xiao has collaborated extensively with industry experts, resulting in over 40 SCI-indexed publications covering diverse topics. His contributions highlight practical applications of theoretical frameworks, reflecting his significant impact in both academic research and industrial applications.

Professional Profiles:

Education šŸŽ“

Yu Xiao, born in 1978, completed his Ph.D. at the School of Mathematics, Harbin Institute of Technology, in 2011. He holds the position of Associate Professor at the same institution. His research focuses on numerical methods for stochastic differential equations, stability and synchronization theory, and networked control systems. This background highlights his extensive academic training, current professional role, and specific research interests in mathematical methodologies applied to complex systems and control theories.

Research and Innovations

Yu Xiao is actively involved in several research areas, focusing primarily on numerical methods for stochastic differential equations, stability and synchronization theory, and networked control systems. His completed and ongoing research projects include work on periodic intermittent control for almost sure stability of stochastic strict-feedback semi-Markov jump systems, indexed in SCI. He has collaborated extensively with industry experts, contributing to the publication of over 40 SCI papers. Additionally, Yu Xiao has two patents under process and has published two journal articles in prominent scientific databases. He holds membership in the Mathematical Society of Heilongjiang Province, China, demonstrating his commitment to advancing mathematical research and applications.

Contributions

In his recent research, Yu Xiao explores almost sure stability (ASS) for stochastic strict-feedback semi-Markov jump systems (SSSJSs) under periodic intermittent control (PIC). The study systematically designs virtual controllers that culminate in an actual controller, establishing ASS conditions through stochastic analysis and the application of a multiple Lyapunov function method. These conditions are intricately linked to control width and period, effectively reducing conservatism. The research substantiates its findings with compelling simulation examples, showcasing the practical applicability and robustness of the proposed methodologies in enhancing system stability and performance.

Area of Research

Yu Xiao specializes in numerical methods for stochastic differential equations, stability and synchronization theory, and networked control systems. With a Ph.D. from the School of Mathematics at Harbin Institute of Technology and current role as Associate Professor at the same institution, his research spans diverse applications in control theory. His work notably explores almost sure stability in stochastic strict-feedback semi-Markov jump systems under periodic intermittent control, employing innovative methods like stochastic analysis and multiple Lyapunov functions. Xiao’s contributions extend beyond theoretical frameworks, demonstrating practical applications through extensive collaborations with industry experts and a robust publication record in SCI-indexed journals. His dedication to advancing control methodologies underscores his impact in both academic and industrial settings

Publications

  1. Almost sure synchronization of stochastic multi-links semi-Markov jump systems via aperiodically intermittent control
    • Authors: Gao, C., Gu, H., Xiao, Y., Guo, B.
    • Journal: Communications in Nonlinear Science and Numerical Simulation, 2024, 135, 108028
  2. Almost sure exponential synchronization analysis of stochastic strict-feedback systems with semi-Markov jump
    • Authors: Gao, C., Zhang, L., Zhang, H., Xiao, Y.
    • Journal: Engineering Applications of Artificial Intelligence, 2024, 133, 108453
  3. Synchronization of multi-link and multi-delayed inertial neural networks with Markov jump via aperiodically intermittent adaptive control
    • Authors: Guo, B., Xiao, Y.
    • Journal: Mathematics and Computers in Simulation, 2024, 219, pp. 435ā€“453
  4. Dynamical analysis of higher-order rogue waves on the various backgrounds for the reverse spaceā€“time Fokasā€“Lenells equation
    • Authors: Song, J.-Y., Xiao, Y., Zhang, C.-P.
    • Journal: Applied Mathematics Letters, 2024, 150, 108971
  5. Aperiodically synchronization of multi-links delayed complex networks with semi-Markov jump and their numerical simulations to single-link robot arms
    • Authors: Gao, C., Guo, B., Xiao, Y., Bao, J.
    • Journal: Neurocomputing, 2024, 575, 127286
    • Citations: 2
  6. Solitonic interactions and explicit solutions for the (2+1) -dimensional nonlocal derivative nonlinear Schrƶdinger equation
    • Authors: Xiao, Y., Song, J.-Y., Zhang, C.-P.
    • Journal: Nonlinear Dynamics, 2024, 112(5), pp. 3797ā€“3809
  7. Intermittent synchronization for multi-link and multi-delayed large-scale systems with semi-Markov jump and its application of Chua’s circuits
    • Authors: Guo, B., Xiao, Y.
    • Journal: Chaos, Solitons and Fractals, 2023, 174, 113762
    • Citations: 3 (Open access)
  8. Synchronization of Markov Switching Inertial Neural Networks with Mixed Delays under Aperiodically On-Off Adaptive Control
    • Authors: Guo, B., Xiao, Y.
    • Journal: Mathematics, 2023, 11(13), 2906
    • Citations: 3
  9. Soliton solutions and their dynamics of local and nonlocal (2+1)-dimensional Fokasā€“Lenells equations
    • Authors: Song, J.-Y., Xiao, Y., Bao, J.-C., Tang, H.-C.
    • Journal: Optik, 2023, 273, 170486
    • Citations: 1
  10. Intermittent control for synchronization of hybrid multi-weighted complex networks with reaction-diffusion effects
    • Authors: Guo, B., Xiao, Y.
    • Journal: Mathematical Methods in the Applied Sciences, 2023, 46(1), pp. 1137ā€“1155
    • Citations: 4

 

 

DROH ARSENE BEHI | Mathematics | Best Researcher Award

Posted on by sciencefather

Dr. DROH ARSENE BEHI | Mathematics | Best Researcher Award

Assistant Professor of UNIVERSITE DE MAN, COTE D’IVOIRE, CĆ“te d’Ivoire.

Dr. Droh Arsene Behi is a distinguished mathematician with a PhD in Mathematics and Applications from UniversitĆ© FĆ©lix HouphouĆ«t-Boigny, specializing in EDP, Numerical Analysis, and Optimization. He holds a Master’s degree in Mathematics and Applications, a Master’s in Mathematical Sciences, a Bachelor’s degree in Mathematical Sciences, and a General University Diploma, all from UniversitĆ© FĆ©lix HouphouĆ«t-Boigny. Dr. Behi has a rich professional background, having worked as a secondary school teacher at the Ministry of Education in CĆ“te dā€™Ivoire from 2008 to 2015 and again from 2018 to 2022. Since 2022, he has been a Lecturer-Researcher at the University of Man. Proficient in French and English, and skilled in software like Word, Excel, Geogebra, and Scilab, Dr. Behi is known for his dedication to mathematics and computing, and his ability to work under pressure both individually and in teams.

Professional Profiles:

Education

Dr. Droh Arsene Behi has an extensive academic background in mathematics, culminating in a doctoral degree. He earned his PhD in Mathematics and Applications, specializing in EDP, Numerical Analysis, and Optimization, from UniversitĆ© FĆ©lix HouphouĆ«t-Boigny in CĆ“te dā€™Ivoire, completing his thesis on September 1, 2021. Prior to his doctorate, Dr. Behi obtained a Master of Mathematics and Applications with a focus on EDP, Numerical Analysis, and Optimization from the same university in 2014-2015. He also holds a Master’s degree in Mathematical Sciences, which he completed in 2013-2014, and a Bachelor’s degree in Mathematical Sciences, obtained in 2011-2012, both from UniversitĆ© FĆ©lix HouphouĆ«t-Boigny. Dr. Behi’s foundational education includes a General University Diploma in Mathematical Sciences, which he earned in 2004-2005 from UniversitĆ© FĆ©lix HouphouĆ«t-Boigny. His academic journey began with a Baccalaureate Series C from LycĆ©e Moderne de Man, CĆ“te dā€™Ivoire, completed in 1998-1999. Throughout his educational path, Dr. Behi has consistently focused on mathematical sciences, developing a deep expertise in numerical analysis and optimization.

Professional Experience

Dr. Droh Arsene Behi has accumulated extensive professional experience in the field of education and research. From 2008 to 2015, and again from 2018 to 2022, he served as a secondary school teacher under the Ministry of Education, Technical Education, and Vocational Training in CĆ“te dā€™Ivoire. During this period, he imparted knowledge and fostered academic growth among his students. In 2022, he transitioned to higher education as a Lecturer-Researcher at the Ministry of Higher Education and Scientific Research, University of Man, CĆ“te dā€™Ivoire. His role involves not only teaching but also contributing to academic research, particularly in the areas of EDP, Numerical Analysis, and Optimization. Throughout his career, Dr. Behi has demonstrated a strong commitment to education, reflected in his continuous efforts to enhance his teaching methodologies and research capabilities. His proficiency in software tools such as Word, Excel, Geogebra, and Scilab has further augmented his teaching and research efficiency.

Research Interest

Dr. Droh Arsene Behi’s research interests lie primarily in the field of nonlinear analysis, particularly focusing on EDP (partial differential equations), numerical analysis, and optimization. His work aims to advance theoretical understanding and practical applications of these mathematical concepts. He is deeply engaged in exploring innovative solutions and methodologies within these domains, contributing significantly to the body of knowledge in mathematical sciences.

Award and Honors

Throughout his academic and professional journey, Dr. Behi has received several awards and honors. Notably, he earned a Doctoral thesis in Mathematics and Applications with a specialization in EDP, Numerical Analysis, and Optimization from the UniversitĆ© FĆ©lix HOUPHOUƋT-BOIGNY, showcasing his expertise and dedication to his field. His academic achievements and contributions to mathematics have been recognized by his peers and institutions alike, underscoring his commitment to excellence in research and education.

Research Skills

Dr. Behi possesses a robust set of research skills that have significantly contributed to his success as a researcher and educator. He is proficient in various software tools essential for mathematical analysis, including Word, Excel, Geogebra, and Scilab. His ability to conduct thorough and precise numerical analyses, combined with his expertise in optimization techniques, enables him to tackle complex mathematical problems effectively. Additionally, Dr. Behi’s strong foundation in nonlinear analysis and his practical approach to applying theoretical concepts to real-world scenarios highlight his versatility and capability as a researcher in the field of mathematics.

Publications

  1. Study of Nonlinear Second-Order Differential Inclusion Driven by a Ī¦-Laplacian Operator Using the Lower and Upper Solutions Method
    • Authors: BĆ©hi, D.A., AdjĆ©, A., Etienne Goli, K.C.
    • Journal: Journal of Mathematics, 2024, 2024, 2258546
    • Citations: 0
  2. A Variational Method for Multivalued Boundary Value Problems
    • Authors: BĆ©hi, D.A., AdjĆ©, A.
    • Journal: Abstract and Applied Analysis, 2020, 2020, 8463263
    • Citations: 0