Raziyeh Erfanifar | Mathematics | Research Excellence Award

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Dr. Raziyeh Erfanifar | Mathematics | Research Excellence Award

Shahid Beheshti University | Iran

Dr. Raziyeh Erfanifar is a researcher in applied mathematics and computational engineering whose work centers on high-order iterative methods, nonlinear equations, matrix and tensor computations, and their applications in control theory, signal processing, image processing, data mining, and fractional calculus. The research contributions emphasize the development of efficient, inversion-free, and high-convergence iterative algorithms for solving nonlinear systems, algebraic Riccati equations, nonlinear matrix and tensor equations, and computing Moore–Penrose and Drazin inverses. A significant portion of the work advances fixed-point theory, weight-splitting strategies, Newton-type schemes, and parametric multi-step methods, with rigorous convergence analysis and efficiency evaluation. These methods have been successfully applied to problems in electrical engineering, vibration and control systems, differential equations, tensor equations with Einstein products, data whitening, and numerical simulation. The scholarly output includes 36 peer-reviewed journal articles published in leading journals such as Journal of the Franklin Institute, Journal of Complexity, Computational and Applied Mathematics, Circuits, Systems, and Signal Processing, Applied Numerical Mathematics, and Engineering Computations. According to Google Scholar metrics, this body of work has received 274 citations, with an h-index of 11 and an i10-index of 11, reflecting sustained impact and strong visibility in numerical analysis, computational mathematics, and engineering applications.

 

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Featured Publications

Several efficient iterative algorithms for solving nonlinear tensor equation
X + AT*N X−1*N A = I with Einstein product
– Computational and Applied Mathematics, 2024

Splitting iteration methods to solve non-symmetric algebraic Riccati matrix equation
YAY − YB − CY + D = 0
– Numerical Algorithms, 2023

Raghavendran Prabakaran | Mathematics | Best Scholar Award

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Mr. Raghavendran Prabakaran | Mathematics | Best Scholar Award

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology | India

Author Profile

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Early Academic Pursuits

Mr. Raghavendran Prabakaran began his academic journey with a strong foundation in mathematics. He completed his B.Sc. in Mathematics from the prestigious Loyola College, Chennai. Building on this, he pursued his M.Sc. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His dedication to research led him to enroll in a Ph.D. program at the same institution, focusing on cutting-edge mathematical applications in AI and cryptography.

Professional Endeavors

Mr. Prabakaran has actively engaged in interdisciplinary research through internships at Symbiosis Institute of Digital and Telecom Management, where he contributed to innovative projects related to Brain-Computer Interfaces (BCI), AI in neuroscience, and energy forecasting. These roles not only refined his technical skills but also positioned him at the intersection of applied mathematics and next-generation AI applications.

Contributions and Research Focus

His primary research areas include Fractional Differential Equations, Control Theory, Integral Transforms, Fuzzy Analysis, Cryptography, and Artificial Neural Networks. His Ph.D. dissertation explores advanced integro-differential systems with state-dependent delays, which have direct implications in AI modeling and secure communication systems. Mr. Prabakaran’s passion for innovation is evident from his 12 published patents, introducing transformative concepts such as the P-Transform, A-Transform, Y-Transform, and V-Transform for applications ranging from signal processing to robotics and environmental monitoring.

Accolades and Recognition

Mr. Raghavendran Prabakaran boasts an impressive academic portfolio, including 22 journal articles, 12 conference papers, 13 book chapters, and one authored book. Several of his publications appear in Q1 journals indexed in Web of Science (WoS) and Scopus, reflecting the high quality of his research. His scholarly influence is evident through 184 citations and an h-index of 9 on Scopus, 79 citations and an h-index of 6 on Web of Science, and 219 citations with an i10-index of 8 on Google Scholar. His pioneering research, particularly in AI-integrated control theory and the development of mathematical models for real-world applications, has earned widespread academic recognition and continues to impact multiple scientific domains.

Impact and Influence

Mr. Prabakaran’s research contributions resonate across disciplines, especially in AI, cryptography, energy systems, neuroscience, and robotics. His patented technologies have the potential to revolutionize fields like healthcare (Parkinson’s diagnosis), transport (driver alert systems), and disaster management (forest fire detection). He is recognized as a bridge between theoretical mathematics and applied innovation.

Legacy and Future Contributions

As a dynamic scholar with an impressive blend of mathematical precision and technological foresight, Mr. Raghavendran Prabakaran is poised to lead future innovations in AI-driven control systems, smart robotics, and secure communication protocols. His forward-thinking approach ensures that his work will continue to influence academic research, industrial applications, and policy-level technological adoption for years to come.

Publications

A Study on the Existence, Uniqueness, and Stability of Fractional Neutral Volterra-Fredholm Integro-Differential Equations with State-Dependent Delay
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar, Junaid Ahmad, Walid Emam
Journal: Fractal and Fractional
Year: 2025

Existence, Uniqueness, and Stability Results of Fractional Volterra-Fredholm Integro-Differential Equations with State Dependent Delay
Authors: Tharmalingam Gunasekar, Prabakaran Raghavendran, Kottakkaran Sooppy Nisar
Journal: Qualitative Theory of Dynamical Systems
Year: 2025

R-Transform Techniques for Strengthening Cryptographic Protocols in Digital Supply Networks
Authors: Prabakaran Raghavendran, Tharmalingam Gunasekar
Journal: Global Integrated Mathematics
Year: 2025

Analytical Study of Existence, Uniqueness, and Stability in Impulsive Neutral Fractional Volterra-Fredholm Equations
Authors: Prabakaran Raghavendran, T. Gunasekar, Shyam Sundar Santra, Dumitru Baleanu
Journal: Journal of Mathematics and Computer Science
Year: 2025

Application of Pourreza Transform to Solve Fractional Integro-Differential Equations
Authors: T. Gunasekar, P. Udhayasankar, Prabakaran Raghavendran, M. Suba
Journal: Journal of Applied Mathematics and Informatics
Year: 2025

Tenglong Huang | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Tenglong Huang | Engineering | Best Researcher Award

Northwest A&F University | China

Author Profile

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🎓 Early Academic Pursuits

Assoc. Prof. Dr. Tenglong Huang began his academic journey with a Bachelor of Engineering in Automation from Henan University of Technology (2015–2019), under the mentorship of Prof. Jingjing Yan. He then pursued his doctoral studies at the Harbin Institute of Technology, one of China's top engineering institutions, where he earned his Ph.D. in Control Science and Engineering in May 2024 under the esteemed guidance of Prof. Huijun Gao. His academic training laid a strong foundation in nonlinear control, intelligent systems, and robotics, which would define his career trajectory.

👨‍🏫 Professional Endeavors

In October 2024, Dr. Huang joined the College of Mechanical and Electronic Engineering at Northwest A&F University as an Associate Professor, where he continues to lead research and mentor the next generation of scholars. His professional engagements extend to multiple prestigious editorial and scientific boards. As of 2025, he serves on the Early Career Editorial Boards of Unmanned Systems Technology and Drones, as well as editorial roles for journals like Computer Science and Technology and Automation, Control and Intelligent Systems. These appointments reflect his growing leadership in the scientific community.

🔬 Contributions and Research Focus

Dr. Huang’s research contributions span across intelligent vehicles, mobile robots, robotic manipulators, and intelligent agriculture, with core expertise in nonlinear control, motion planning, and fault-tolerant systems. Noteworthy among his contributions is the Sine Resistance Network (SRN) for autonomous vehicle path planning, which improves trajectory smoothness and performance in dynamic environments. His publication in IEEE Transactions on Automation Science and Engineering introduced a bionic reliable suspension control system using pre-specified time convergence, enabling energy-efficient and fault-resilient vehicle dynamics.

Another impactful work includes a finite-time fault-tolerant integrated motion control system that ensures convergence and resilience in autonomous vehicle navigation, published in IEEE Transactions on Transportation Electrification. His research is widely recognized for eliminating the need for complex approximation tools while enhancing system reliability and computational efficiency.

🏅 Accolades and Recognition

Dr. Huang’s excellence has been recognized through various prestigious accolades, most notably earning Second Place (National First Prize) in the 2017 World Robot Contest Fighting Robot Competition. In addition to his technical achievements, he is a respected reviewer for top-tier journals such as IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Informatics, IEEE/ASME Transactions on Mechatronics, and IEEE Transactions on Intelligent Vehicles. He is also a frequent committee member and session chair at leading international conferences such as CVCI, ICRAIC, and China Automation Conference.

🌍 Impact and Influence

Dr. Huang’s research has had a transformative impact on the fields of autonomous driving and robotics, offering robust and innovative solutions to real-world engineering problems. His bioinspired and model-free control strategies have influenced both academic research and industrial applications. His interdisciplinary approach—integrating biology-inspired dynamics, control theory, and machine intelligence—demonstrates a pioneering spirit in the global smart mobility revolution. His mentorship and cross-institutional collaborations are helping shape new directions in intelligent automation and control systems.

🔭 Legacy and Future Contributions

As a leading voice in next-generation autonomous technologies, Assoc. Prof. Dr. Tenglong Huang is set to make even greater strides. With a growing portfolio of peer-reviewed publications, editorial board memberships, and global research collaborations, his work promises to further redefine the possibilities in autonomous systems, vehicle intelligence, and resilient control architectures. His visionary contributions continue to influence smart transportation, adaptive robotics, and intelligent agriculture—paving the way for more sustainable, safe, and responsive technological ecosystems.

Publications

📝 A Safe Motion Planning and Reliable Control Framework for Autonomous Vehicles

Authors: Huihui Pan, Mao Luo, Jue Wang, Tenglong Huang, Weichao Sun
Journal: IEEE Transactions on Intelligent Vehicles
Year: 2024

📝 A Sensor Fault Detection, Isolation, and Estimation Method for Intelligent Vehicles

Authors: Tenglong Huang, Huihui Pan, Weichao Sun
Journal: Control Engineering Practice
Year: 2023

📝 Finite-Time Fault-Tolerant Integrated Motion Control for Autonomous Vehicles With Prescribed Performance

Authors: Tenglong Huang, Jue Wang, Huihui Pan, Weichao Sun
Journal: IEEE Transactions on Transportation Electrification
Year: 2023

📝 Adaptive Bioinspired Preview Suspension Control With Constrained Velocity Planning for Autonomous Vehicles

Authors: Tenglong Huang, Jue Wang, Huihui Pan
Journal: IEEE Transactions on Intelligent Vehicles
Year: 2023

📝 Sine Resistance Network-Based Motion Planning Approach for Autonomous Electric Vehicles in Dynamic Environments

Authors: Tenglong Huang, Huihui Pan, Weichao Sun, Huijun Gao
Journal: IEEE Transactions on Transportation Electrification
Year: 2022

Saida Bedoui | Engineering | Best Researcher Award

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Dr. Saida Bedoui | Engineering | Best Researcher Award

Gabes University | Tunisia

Author Profile

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Early Academic Pursuits

Dr. Saida Bedoui’s academic journey is marked by an exceptional pursuit of knowledge and excellence in electrical engineering and related fields. She began her educational journey at Lycée République in Gabès, Tunisia, where she earned her Bachelor of Mathematics in June 2003. Following this, she attended the Higher Institute of Applied Sciences and Technology of Gabes, where she completed her preparatory classes for the National Engineering School with a focus on Physics and Mathematics in July 2005, securing admission to the engineering school. Her higher education was pursued at the National Engineering School of Gabes, where she obtained her degree in Electric-Automatic Engineering in July 2008, graduating with a “Very Good” rating. She further specialized by obtaining a Master's in Automatic and Intelligent Techniques in June 2009, also with a “Very Good” rating. Dr. Bedoui then achieved her PhD in Electrical Engineering in March 2013 with the highest honors, and later completed her Habilitation Thesis in Electrical Engineering at Gabes University in February 2023.

Professional Endeavors

Dr. Bedoui’s professional career spans several prestigious roles in academia. She started as a contractual lecturer at the National Engineering School of Gabes from 2008 to 2012. She then served as a lecturer at the Higher Institute of Applied Sciences and Technology of Gafsa from 2012 to 2013. Since September 2013, she has been an Assistant Professor at the Higher Institute of Industrial Systems of Gabes, where she has been involved in teaching a variety of subjects, including Automatic, Electronics, and Industrial Computing, at all levels of higher education.

Contributions and Research Focus

Dr. Bedoui’s research interests primarily focus on the identification and control of time-delay systems. Her PhD thesis contributed significantly to this field by proposing methods to identify time-delay systems, addressing the simultaneous identification of time delay and dynamic parameters of both mono-variable and multi-variable time-delay systems. Her work includes the development of new approaches for generating libraries of local models for nonlinear time-delay systems. Her contributions extend to supervising numerous graduate projects and theses. She has guided students in projects ranging from the design and implementation of road junction prototypes to the modernization of control systems for industrial applications.

Accolades and Recognition

Dr. Bedoui has been recognized for her work with various scholarships and research stays at esteemed institutions. Notably, she received a CSC scholarship for a research stay at Jiangnan University, PR China, in 2023. She has also undertaken research stays at the Laboratory of Engineering Systems in Caen, France, and the Research Center for Automatic Control of Nancy, France.

Impact and Influence

Dr. Bedoui has played a pivotal role in several significant projects and associations. She served as the project manager for the initiative "Strengthening the Capacity of the 4C Center in Training and Support for Students and Young Graduates of ISSI-Gabes" from January 2020 to February 2022. Additionally, she has been the Director of the Career Center and Skills Certification and has been actively involved with the Tunisian Association of Automatic and Digitizing in various capacities since 2010.

Legacy and Future Contributions

Dr. Bedoui’s legacy is characterized by her dedication to advancing the field of electrical engineering through both education and research. Her extensive teaching experience, coupled with her innovative research, has made significant contributions to the academic community. Her work continues to influence the development of automatic and intelligent systems.

 

Notable Publications

Iterative parameter identification for Hammerstein systems with ARMA noises by using the filtering identification idea 2024

On the combined estimation of the parameters and the states of fractional-order systems 2023 (2)

Diagnosis and fault tolerant control against actuator fault for a class of hybrid Dynamic systems 2023 (3)

Convergence Analysis of Forgetting Factor Least Squares Algorithm for ARMAX Time-Delay Models 2022 (1)

Parameter and State Estimation of Nonlinear Fractional-Order Model Using Luenberger Observer 2022 (6)

 

 

 

Fan Wang | Engineering | Best Researcher Award

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Dr. Fan Wang | Engineering | Best Researcher Award

Nanjing University of Information Science and Technology | China

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Early Academic Pursuits

Dr. Fan Wang's academic journey commenced with a Bachelor of Science in Mathematics from Hefei Normal University, China. This foundational education laid the groundwork for her subsequent pursuit of higher studies. She then pursued a Master's degree at the School of Mathematics, Southeast University, Nanjing, China, followed by a Doctor of Science degree, further specializing in Mathematics.

Professional Endeavors

Dr. Wang's professional endeavors reflect a global engagement with various esteemed academic institutions. She has held research positions at prominent universities such as the University of Macau, the University of Hong Kong, and Southeast University in China. Additionally, she has enriched her academic experience through international collaborations, serving as a Visiting PhD Student at Brunel University London, UK, and an Alexander von Humboldt Research Fellow at the University of Duisburg-Essen, Germany.

Contributions and Research Focus

Dr. Wang's research primarily focuses on advanced topics in control theory, with a specialization in two-dimensional systems and sensor networks. Her contributions encompass robust control and filtering techniques, distributed filtering over wireless sensor networks, and state estimation for networked systems with incomplete information. Through her publications in esteemed journals and conferences, she has significantly advanced the understanding and application of these techniques in real-world scenarios.

Accolades and Recognition

Dr. Wang's dedication and contributions to the field have been recognized through various awards and honors. Notably, she received the prestigious Alexander von Humboldt Research Fellowship of Germany in 2020 and has been acknowledged as an Excellent Reviewer of Neurocomputing in 2023. Her outstanding contributions to research have consistently earned her recognition from peers and institutions alike.

Impact and Influence

Dr. Wang's research has made a significant impact on the field of control theory and related disciplines. Her work on recursive filtering, robust state estimation, and protocol-based control has contributed to advancing the state-of-the-art in handling complex systems with limited information and communication constraints. Her findings have practical implications across diverse domains, including engineering, automation, and information technology.

Legacy and Future Contributions

Dr. Wang's legacy lies in her pioneering research and dedication to advancing the frontiers of control theory. Her work serves as a foundation for future researchers in the field, offering insights and methodologies that can address emerging challenges in complex system analysis and control. Her commitment to excellence and interdisciplinary collaboration ensures that her contributions will continue to shape the landscape of control theory and its applications in the years to come.

Notable publications

Recursive filtering for two-dimensional systems with amplify-and-forward relays: Handling degraded measurements and dynamic biases 2024

Finite-Horizon H∞ State Estimation for Complex Networks With Uncertain Couplings and Packet Losses: Handling Amplify-and-Forward Relays 2023

Distributed Fusion Filtering for Nonlinear Time-Varying Systems Over Amplify-and-Forward Relay Networks: An H∞ Quantized Framework 2023 (1)

Recursive locally minimum-variance filtering for two-dimensional systems: When dynamic quantization effect meets random sensor failure 2023 (5)

Robust set-membership filtering for two-dimensional systems with sensor saturation under the Round-Robin protocol 2022 (33)

 

 

 

Gajendra Singh Chawda | Engineering | Best Extension Activity Award

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Dr. Gajendra Singh Chawda | Engineering | Best Extension Activity Award

University of Michigan-Dearborn | United States

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Early Academic Pursuits

Gajendra Singh Chawda pursued his educational journey with a Bachelor of Technology in E & E Engineering from RGPV Bhopal, followed by a Master of Technology in Power System from NIT Kurukshetra. He completed his Ph.D. in Electrical Engineering from IIT Jodhpur, specializing in Renewable Energy Penetration and Adaptive Controls.

Professional Endeavors

As a Research Associate, Gajendra led projects in the development of novel high-frequency distribution systems and Electric Vehicle (EV) charging and discharging control using machine learning-based algorithms. He also contributed significantly to the construction of DC Microgrid experimental prototypes.

Contributions and Research Focus

Gajendra's research interests encompass a wide array of topics, including power systems, power electronics applications in distribution systems, renewable energy penetration, and grid-forming inverters. He has extensively studied adaptive control algorithms, big data analysis, and the application of AI/ML in power systems.

Accolades and Recognition

Gajendra received prestigious awards such as the Vishweshwaraya Scholarship Award for his Ph.D. and travel grants from IEEE-PES and CSIR-India for international conferences. He has delivered expert lectures in various academic programs and actively participated in technical events and professional organizations.

Impact and Influence

His groundbreaking projects and innovative solutions in renewable energy systems and microgrid technology have had a significant impact on advancing sustainable energy solutions. His contributions to research and development have been published in reputable journals, including IEEE Transactions and Elsevier.

Legacy and Future Contributions

Gajendra's commitment to pushing the boundaries of research and developing sustainable energy solutions is evident in his ongoing projects and collaborations. He continues to share his knowledge through academic mentoring, expert lectures, and participation in conferences, contributing to the broader academic community's advancement in electrical engineering and renewable energy.

Notable Publication

A reactive power-based adaptive approach for synchronization of DFIG into the weak grid to support existing WE infrastructure 2024

Power Quality Improvement in Rural Grid Using Adaptive Control Algorithm to Enhance Wind Energy Penetration Levels 2023 (9)

Performance Improvement of Weak Grid-Connected Wind Energy System Using FLSRF-Controlled DSTATCOM 2023 (10)

Fuzzy logic based Vehicle to Grid Controller for Voltage Regulation in Distribution Network with Solar-PV Penetration 2023

Enhancement of Wind Energy Penetration Levels in Rural Grid Using ADALINE-LMS Controlled Distribution Static Compensator 2022 (29)