Yu Xiao | Mathematics | Best Researcher Award

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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 🎓

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. 435–453
  4. Dynamical analysis of higher-order rogue waves on the various backgrounds for the reverse space–time Fokas–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 Schrödinger equation
    • Authors: Xiao, Y., Song, J.-Y., Zhang, C.-P.
    • Journal: Nonlinear Dynamics, 2024, 112(5), pp. 3797–3809
  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 Fokas–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. 1137–1155
    • Citations: 4

 

 

Farhad Samimi Namin | Mathematics | Best Researcher Award

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Assoc Prof Dr. Farhad Samimi Namin | Mathematics |Best Researcher Award

Academic member at University of Zanjan, Iran.

Farhad Samimi Namin is an Assistant Professor at Zanjan University, specializing in mining engineering with a focus on decision theory models for underground mining method selection. He obtained his Ph.D. from Amirkabir University of Technology, Tehran, and has since developed expertise in mine planning, equipment selection, multicriteria decision making, fuzzy logic, and environmental impact assessment. Farhad has authored numerous papers published in prestigious journals and presented at international conferences, showcasing his contributions to advancing mining practices. His teaching portfolio includes courses on underground mining methods and mine design principles, where he emphasizes both theoretical concepts and practical applications. With a commitment to interdisciplinary research and professional development, Farhad continues to play a pivotal role in shaping the future of mining engineering through innovative research and academic leadership.

Professional Profiles:

Education

Farhad Samimi Namin pursued his academic journey in mining engineering, starting with a B.Sc. degree from the International University of Imam Khomeini in Qazvin, Iran. He continued his studies with an M.Sc. in Mining Engineering at Sahid Bahonar University in Kerman, Iran, achieving high academic honors with a GPA of 17.98 out of 20. His educational pursuit culminated in a Ph.D. from Amirkabir University of Technology (Tehran Polytechnic University), Tehran, Iran, where his doctoral research focused on the development of a decision theory-based model for underground mining method selection. His academic achievements reflect a strong foundation in theoretical and applied aspects of mining engineering, preparing him for his subsequent career as an Assistant Professor at the University of Zanjan, Iran.

Professional Experience

Farhad Samimi Namin has garnered extensive professional experience, notably serving as an Assistant Professor in the Mining Engineering Department at Zanjan University, Iran, for over seven years. His academic role includes teaching courses such as Underground Mining Methods, Advanced Underground Excavation Methods, Mine Design Principles, Mine Surveying, Tunneling, Shaft Sinking, Mine Management, Mine Ventilation, and Mine Services. His tenure at Zanjan University has been marked by contributions to both academic instruction and research in the field of mining engineering, particularly focusing on mine planning and the application of Multi-Criteria Decision Making (MADM) techniques in mining contexts.

Research Interest

Farhad Samimi Namin’s research interests primarily revolve around mine planning and design, with a specific focus on mining methods and equipment selection. He specializes in applying Multi-Criteria Decision Making (MADM), fuzzy logic, and environmental impact assessment techniques in the mining industry. His research aims to optimize decision-making processes related to underground mining method selection and to address environmental concerns associated with mining operations. Additionally, he explores practical applications of decision-making techniques in the mining sector, aiming to enhance operational efficiency and sustainability in mineral resource management.

Research Skills

Farhad Samimi Namin is an esteemed figure in mining engineering, currently serving as an Assistant Professor at Zanjan University. He earned his Ph.D. from Amirkabir University of Technology, Tehran, specializing in decision theory models for underground mining method selection. His research interests encompass mine planning, mining equipment selection, multicriteria decision making, fuzzy logic applications, and environmental impact assessment. With a prolific publication record in esteemed journals and presentations at international conferences, Farhad has made significant contributions to advancing mining methodologies. His expertise extends to technical writing, data analysis, and interdisciplinary collaboration, reflecting a comprehensive approach to addressing complex mining challenges. Through his teaching in courses such as underground mining methods and mine design principles, he nurtures the next generation of mining professionals, emphasizing practical applications and theoretical foundations in mining engineering.

Publications

  1. Title: A Review: Applications of Fuzzy Theory in Rock Engineering
    • Authors: Samimi Namin, F.; Rouhani, M.M.
    • Year: 2024
    • Citations: 1
  2. Title: Investigate the potential of using fuzzy similarity in decision making under uncertainty for mining projects
    • Authors: Rouhani, M.M.; Namin, F.S.
    • Year: 2023
    • Citations: 1
  3. Title: Development of a new system for improving blastability by using the Fuzzy Delphi AHP method
    • Authors: Jalali, Z.; Namin, F.S.
    • Year: 2023
    • Citations: 0
  4. Title: Analyzing the effects of natural ventilation caused by excavating the waste pass on the ventilation network of the Anguran mine
    • Authors: Fetri, M.; Shahabi, R.S.; Namin, F.S.; Zeyni, E.E.; Khereshki, M.H.K.
    • Year: 2023
    • Citations: 0
  5. Title: A literature review of Multi Criteria Decision-Making (MCDM) towards mining method selection (MMS)
    • Authors: Namin, F.S.; Ghadi, A.; Saki, F.
    • Year: 2022
    • Citations: 21
  6. Title: 3D computational study of tunnel segment behaviour under loading by TBM thrust jacks
    • Authors: Dastjerdy, B.; Hasanpour, R.; Samimi Namin, F.; Chakeri, H.
    • Year: 2021
    • Citations: 2
  7. Title: Numerical investigation into the effect of stepping on the circumferential joint in the precast tunnel segments under TBM thrust jacks
    • Authors: Karimi, M.; Chakeri, H.; Namin, F.S.; Sharghi, M.; Özçelik, Y.
    • Year: 2020
    • Citations: 6
  8. Title: Uncertainty determination in rock mass classification when using FRMR Software
    • Authors: Namin, F.S.; Rinne, M.; Rafie, M.
    • Year: 2015
    • Citations: 3
  9. Title: Prediction of subsidence risk by FMEA using artificial neural network and fuzzy inference system
    • Authors: Rafie, M.; Samimi Namin, F.
    • Year: 2015
    • Citations: 84
  10. Title: FMMSIC: A hybrid fuzzy based decision support system for MMS (in order to estimate interrelationships between criteria)
    • Authors: Namin, F.S.; Shahriar, K.; Bascetin, A.; Ghodsypour, S.H.
    • Year: 2012
    • Citations: 28

 

Amjad Alipanah | Mathematics | Best Researcher Award

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Mr. Amjad Alipanah | Mathematics | Best Researcher Award

PhD at University of Kurdistan, Iran.

Amjad Alipanah is an esteemed Associate Professor of Applied Mathematics at the University of Kurdistan, Sanandaj, Iran. Born on September 23, 1974, he has a distinguished academic background with a BSc in Mathematics from the University of Kurdistan and both an MSc and PhD in Applied Mathematics from AmirKabir University, Tehran, Iran. His research focuses on spectral and pseudospectral methods, finite difference methods, calculus of variations, approximation theory, and numerical analysis. With a robust portfolio of journal publications and conference papers, he has significantly contributed to the field. Alipanah is also a dedicated educator, teaching a variety of undergraduate and graduate courses and supervising numerous postgraduate theses. His work has earned him top ranks as a graduate student and a prominent position in the academic community. 🌐✨

Professional Profiles:

Education

Amjad Alipanah received his Bachelor of Science (BSc) degree in Mathematics from the University of Kurdistan, Sanandaj, Iran, in 2000. He then pursued his Master of Science (MSc) in Applied Mathematics at AmirKabir University, Tehran, Iran, specializing in Partial Differential Equations with a focus on Finite Difference Methods. His master’s thesis, titled “Numerical Solution of Sine-Gordon Equation,” was supervised by Professor Mehdi Dehghan. Alipanah continued his academic journey at AmirKabir University, earning a PhD in Applied Mathematics in 2005 with a specialization in Optimal Control. His doctoral research, “Using Cardinal Functions in Spectral Methods,” was supervised by Professor Mohsen Razzaghi, with Associate Professor Mostafa Shamsi serving as his adviser.

Professional Experience

Amjad Alipanah currently holds the position of Associate Professor of Applied Mathematics at the University of Kurdistan in Sanandaj, Iran. His professional journey is marked by his extensive teaching and research contributions in the field of applied mathematics. Throughout his career, he has been involved in various research projects and has published numerous journal articles and conference papers on topics such as spectral and pseudospectral methods, finite difference methods, and numerical analysis. In addition to his research endeavors, Dr. Alipanah has supervised many postgraduate theses, guiding students through complex mathematical problems and innovative solutions. His commitment to education is evident through his teaching of a broad range of undergraduate and graduate courses, including Numerical Solution of Partial Differential Equations, Numerical Methods in Linear Algebra, and Advanced Numerical Analysis. 🧑‍🏫📊✨

Research Interest

Amjad Alipanah’s research interests lie predominantly in applied mathematics, with a focus on several specialized areas. These include spectral and pseudospectral methods, which are used for solving differential equations with high accuracy; finite difference methods, which are numerical techniques for approximating solutions to differential equations; and the calculus of variations, which deals with optimizing functionals. He is also deeply engaged in approximation theory, a branch of mathematics that focuses on how functions can best be approximated with simpler functions, and numerical analysis, which involves the development and analysis of algorithms for solving mathematical problems numerically. His diverse research interests reflect his commitment to advancing mathematical methods and their applications in solving real-world problems. 📚🔢💡

Award and Honors

Amjad Alipanah has received several prestigious awards and honors throughout his academic career. He graduated first in his class with a Bachelor of Science degree from the University of Kurdistan in 2000. Continuing his academic excellence, he also graduated first in his class with a Master of Science degree from AmirKabir University in Tehran, Iran, in 2002. These accolades highlight his dedication and exceptional performance in the field of mathematics. 🎓✨

Research Skills

Amjad Alipanah possesses a wide range of research skills that reflect his expertise in applied mathematics. He has mastery in employing spectral and pseudospectral methods for solving differential equations and optimization problems. His proficiency in finite difference methods allows him to approximate solutions to differential equations effectively. Amjad is also skilled in the calculus of variations, which involves optimization techniques for functional analysis, crucial for understanding complex physical systems. Additionally, his expertise in approximation theory enables him to develop and analyze methods for approximating functions and solving mathematical problems. His extensive experience in numerical analysis involves the development and application of algorithms for solving mathematical problems numerically. These comprehensive skills equip him to tackle complex mathematical challenges and contribute significantly to his field. 📊🔍

Publications

  1. Numerical solution of singularly perturbed singular third-order boundary value problems with nonclassical sinc method
    • Authors: A. Alipanah, K. Mohammadi, R.M. Haji
    • Year: 2024
    • Citations: 0
  2. On solving some stochastic delay differential equations by Daubechies wavelet
    • Authors: N.M. Shariati, M. Yaghouti, A. Alipanah
    • Year: 2024
    • Citations: 0
  3. Numerical solution of system of second-order integro-differential equations using nonclassical sinc collocation method
    • Authors: M. Ghasemi, K. Mohammadi, A. Alipanah
    • Year: 2023
    • Citations: 3
  4. Numerical solution of third-order singular boundary value problems with nonclassical SE-sinc-collocation and nonclassical DE-sinc-collocation
    • Authors: A. Alipanah, K. Mohammadi, M. Shiralizadeh
    • Year: 2023
    • Citations: 2
  5. Collocation method using auto-correlation functions of compact supported wavelets for solving Volterra’s population model
    • Authors: A. Alipanah, M. Zafari
    • Year: 2023
  6. Numerical solution of the system of second-order integro-differential equations using non-classical double sinc method
    • Authors: K. Mohammadi, A. Alipanah
    • Year: 2023
    • Citations: 3
  7. Numerical solution of third-order boundary value problems using non-classical sinc-collocation method
    • Authors: A. Alipanah, K. Mohammadi, M. Ghasemi
    • Year: 2023
    • Citations: 3
  8. Approximate solutions to the Allen–Cahn equation using rational radial basis functions method
    • Authors: M. Shiralizadeh, A. Alipanah, M. Mohammadi
    • Year: 2023
    • Citations: 1
  9. A convergent wavelet-based method for solving linear stochastic differential equations included 1D and 2D noise
    • Authors: N.M. Shariati, M. Yaghouti, A. Alipanah
    • Year: 2023
    • Citations: 2
  10. On the Stability of Filon–Clenshaw–Curtis Rules
    • Authors: H. Majidian, M. Firouzi, A. Alipanah
    • Year: 2022