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

 

Zia Bashir | Mathematics | Best Researcher Award

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Assoc Prof Dr. Zia Bashir | Mathematics | Best Researcher Award

Associate Professor at Quaid-i-Azam University, Pakistan.

Dr. Zia Bashir is a highly accomplished mathematician with expertise in chaotic dynamical systems, game theory, and function spaces. He earned his Doctorate in Mathematics from Abdus Salam School of Mathematical Sciences, Government College University Lahore, with a commendable CGPA of 3.69 out of 4. Currently serving as an Associate Professor at Quaid-I-Azam University, Islamabad, Dr. Bashir has also held positions at the University of Central Punjab, Lahore, and the University of Sargodha, Lahore Campus. He has published extensively in prestigious international journals and actively supervises MPhil and PhD students. With proficiency in programming languages such as Python and MATLAB, along with expertise in AMS-Latex and Microsoft Office tools, Dr. Bashir excels in mathematical research and analysis. His research interests include the application of artificial intelligence tools in mathematical modeling and decision-making processes.

Professional Profiles:

Education:

Dr. Zia Bashir pursued his academic journey with a strong focus on mathematics. He earned his Doctorate in Mathematics from Abdus Salam School of Mathematical Sciences, Government College University Lahore, with a commendable CGPA of 3.69 out of 4. Prior to that, he completed his Bachelor of Science in Mathematics from the Department of Mathematics, University of the Punjab, Lahore, achieving an impressive CGPA of 3.83 out of 4. His educational background equipped him with a solid foundation in mathematical theory and analytical skills, paving the way for his successful career in academia and research.

Professional Experience

Dr. Zia Bashir has accumulated extensive professional experience in academia, contributing significantly to the field of mathematics. Since September 2021, he has served as an Associate Professor in the Department of Mathematics at Quaid-I-Azam University, Islamabad, Pakistan. Prior to his current role, he held positions as an Assistant Professor at the same institution from September 2015 to September 2021, and as an Assistant Professor at the Faculty of IT, University of Central Punjab, Lahore, Pakistan, from September 2013 to September 2015. Additionally, he worked as a Lecturer at the University of Sargodha, Lahore Campus, Pakistan, from February 2013 to September 2013. Throughout his career, Dr. Bashir has demonstrated a commitment to academic excellence, research, and mentorship, contributing to the advancement of mathematical knowledge and education.

Research Interest

Dr. Zia Bashir’s research interests span a broad spectrum within mathematics, covering diverse areas such as chaotic dynamical systems with artificial intelligence tools, game theory, decision-making models, and function spaces. His work delves into understanding the dynamics of chaotic systems and their intersections with artificial intelligence techniques. Furthermore, he investigates game-theoretic frameworks and decision-making processes, aiming to analyze strategic interactions and optimize outcomes. Additionally, Dr. Bashir explores the properties and structures of various function spaces, including their embeddings, norms, and topological properties. Through his interdisciplinary approach, Dr. Bashir demonstrates a commitment to advancing mathematical knowledge and its practical applications across multiple domains.

Award and Honors

Dr. Zia Bashir has received several prestigious awards and honors throughout his academic career. His notable recognitions include an Honorarium of $1240 for his paper “Optimal embeddings of generalized Besov spaces” by the Eurasian Mathematical Journal. Additionally, he was awarded a commendable performance award for his outstanding performance in the 1st-year coursework at the Abdus Salam School of Mathematical Sciences. Furthermore, Dr. Bashir has been granted a Merit scholarship during his Bachelor of Science in Mathematics and received the HEC Indigenous 5000 PhD Fellowship for his MPhil leading to a Ph.D. These accolades underscore his academic excellence and dedication to advancing mathematical research.

Research Skills

Dr. Zia Bashir possesses a diverse range of research skills that have contributed to his success in the field of mathematics. He is proficient in conducting advanced mathematical analyses and has a deep understanding of various mathematical concepts and theories. His expertise extends to areas such as chaotic dynamical systems, game theory, function spaces, and decision-making models. Dr. Bashir is skilled in utilizing artificial intelligence tools to study complex systems and has a strong background in computational mathematics. He is adept at designing and implementing mathematical models to address real-world problems and has demonstrated proficiency in programming languages such as Python and MATLAB. Additionally, Dr. Bashir is experienced in using AMS-Latex for writing mathematical documents and Microsoft Office tools for data analysis and presentation. His comprehensive research skills enable him to make significant contributions to the field of mathematics and address complex scientific challenges effectively.

Publications

  1. Chaos analysis of nonlinear variable order fractional hyperchaotic Chen system utilizing radial basis function neural network
    • Authors: S. Hussain, Z. Bashir, M.G.A. Malik
    • Journal: Cognitive Neurodynamics, 2024
    • Citations: 0
  2. Exploring the stochastic patterns of hyperchaotic Lorenz systems with variable fractional order and radial basis function networks
    • Authors: M. Awais, M.A. Khan, Z. Bashir
    • Journal: Cluster Computing, 2024
    • Citations: 0
  3. Image pixels swapping encryption based on the TetraVex game and a publicly hash-sharing algorithm
    • Authors: M. Hussain, N. Iqbal, Z. Bashir
    • Journal: Cluster Computing, 2024
    • Citations: 1
  4. A cubic q-rung orthopair fuzzy TODIM method based on Minkowski-type distance measures and entropy weight
    • Authors: J. Ali, Z. Bashir, T. Rashid
    • Journal: Soft Computing, 2023, 27(20), pp. 15199–15223
    • Citations: 5
  5. A q-rung orthopair hesitant fuzzy stochastic method based on regret theory with unknown weight information
    1. Authors: J. Ali, Z. Bashir, T. Rashid, W.K. Mashwani
    2. Journal: Journal of Ambient Intelligence and Humanized Computing, 2023, 14(9), pp. 11935–11952
    3. Citations: 13
  6. A study on the normality of Wijsman topology of a fuzzy metric space
    • Authors: Z. Bashir, A. Ullah
    • Journal: Soft Computing, 2023, 27(1), pp. 17–23
    • Citations: 1
  7. A chaotic image encryption scheme based on multi-directional confusion and diffusion operations
    • Authors: M. Hussain, N. Iqbal, Z. Bashir
    • Journal: Journal of Information Security and Applications, 2022, 70, 103347
    • Citations: 10
  8. A multi-criteria group decision-making approach based on revised distance measures under dual hesitant fuzzy setting with unknown weight information
    • Authors: J. Ali, Z. Bashir, T. Rashid
    • Journal: Soft Computing, 2022, 26(17), pp. 8387–8401
    • Citations: 8
  9. Asymptotic Analysis of Low Energy Extremals with Γ-Convergence in Variable Exponent Lebesgue Spaces
    • Authors: A. Siddique, A. Shekhovtsov, Z. Bashir, W. Sałabun
    • Journal: Fractal and Fractional, 2022, 6(3), 128
    • Citations: 0
  10. On distance measure and TOPSIS model for probabilistic interval-valued hesitant fuzzy sets: application to healthcare facilities in public hospitals
    1. Authors: J. Ali, Z. Bashir, T. Rashid
    2. Journal: Grey Systems, 2022, 12(1), pp. 197–229
    3. Citations: 17