Binglun Li | Critical Infrastructure | Best Researcher Award

Posted on 26/07/202427/07/2024 by ScienceFather

Mr. Binglun Li | Critical Infrastructure | Best Researcher Award

None at Central South University, China.

Summary:

Binglun Li is a Master’s student in Electronic Information at Central South University, with a strong academic record and a GPA placing him in the top 20% of his class. His research focuses on discrete memristive neural networks (DMNN), exploring their modeling, synchronization, and applications in various network types. Binglun has led several innovative projects, including developing chaotic systems for image encryption and designing intelligent vehicle algorithms. His technical expertise spans STM32, FPGA, and programming languages like C++ and Python. Binglun’s achievements are recognized through multiple awards, including the School Level Scholarship and prizes in electronic design and intelligent car competitions. His work reflects a deep commitment to advancing technology and understanding complex systems.

Profile:

Scopus Profile

Education:

Binglun Li is currently pursuing a Master of Science in Electronic Information at Central South University, with an expected graduation date in May 2025. He has achieved a commendable GPA of 89.63/100, placing him in the top 20% of his cohort. Prior to this, Binglun completed his Bachelor of Science in Electronic Information Science and Technology at the same institution, graduating in July 2022 with a GPA of 87.94/100, ranking in the top 25% of his class. Throughout his academic journey, Binglun has demonstrated a strong commitment to his studies, consistently achieving high academic standards. His educational background has equipped him with a robust foundation in electronic information and science technology, preparing him for advanced research and professional challenges in his field.

Professional Experience:

Binglun Li has amassed a diverse array of professional experiences throughout his academic career. As the leader of multiple projects, including the Innovation Project of Graduate of Central South University, he has spearheaded research on anti-degradation of discrete chaotic systems and their application in image encryption. Binglun also led teams in competitions, such as the Central South University Graduate Electronic Design Competition, where he designed a chaos image encryption system based on FPGA, and the National College Student Intelligent Car Competition South China Race, focusing on omnidirectional marching algorithms. His role as a participant in projects funded by the Natural Science Foundation of China involved designing discrete memristors and locating hidden attractors in fractional-order chaotic systems. Binglun’s hands-on experience with hardware implementation and algorithm design, combined with his leadership in competitive settings, underscores his practical expertise and innovative approach in the field of electronic information.

Research Interests:

Binglun Li’s research interests center around the dynamic and innovative fields of discrete memristive neural networks (DMNN) and their wide-ranging applications. He is particularly focused on the modeling and synchronization principles of discrete memristive neuron coupling systems. His work delves into the modeling and collective dynamic behaviors of DMNNs, including synchronization control in both regular and complex networks, as well as single-layer and multilayer networks. Additionally, Binglun is keenly interested in brain dynamics, aiming to analyze activity patterns and network connections of the brain in various contexts. His research extends to brain-machine interfaces, where he seeks to uncover neural mechanisms underlying cognitive processes and the control of external devices. Binglun’s multifaceted interests reflect his commitment to advancing the understanding and application of complex neural and chaotic systems.

Skills:

Binglun Li possesses a robust skill set that spans various domains in electronic information and technology. He is proficient in operating systems such as Windows and macOS. His expertise with hardware devices includes STM32, MCS51, DSP, and FPGA, demonstrating his hands-on experience in hardware implementation. In terms of programming, Binglun is skilled in C, C++, Python, and Verilog, allowing him to tackle complex coding challenges and develop efficient algorithms. Additionally, he is adept at using LaTeX and Office for writing and documentation purposes. This diverse skill set equips Binglun with the technical prowess and versatility needed to excel in his research and professional endeavors.

Awards and Honors:

Binglun Li has received several notable awards and honors throughout his academic career. He was recognized with the School Level Scholarship, Second Prize, in October 2023, and the Enterprise Scholarship, Third Prize, in September 2023. Binglun was also honored as Outstanding Student Cadres in September 2023 and Outstanding Communist Party Member in June 2023. His achievements in competitions include a Second Prize at the Central South University Graduate Electronic Design Competition in August 2022, a Third Prize at the National Intelligent Car Competition South China Race in August 2021, and a Second Prize at the Hunan Electronic Design Competition in June 2021. These accolades reflect his exceptional performance and contributions in both academic and competitive settings.

Publication Top Noted:

The hyperbolic sine chaotification model and its applications”
- Authors: Li, B., Sun, K., Wang, H., Liu, W.
- Journal: Physica Scripta
- Year: 2024
- Volume: 99
- Issue: 7
- Article Number: 075274
“Dynamics of multicavity hyperchaotic maps with rotational control operation and its applications”
- Authors: Zhu, W., Sun, K., Li, B., Wang, H.
- Journal: Physica Scripta
- Year: 2024
- Volume: 99
- Issue: 6
- Article Number: 065205
“An internal perturbation method to counteract the dynamical degradation of digital chaotic maps and its application”
- Authors: Li, B., Sun, K., Wang, H., Liu, W.
- Journal: Nonlinear Dynamics
- Year: 2024
- Volume: 112
- Issue: 11
- Pages: 9603–9615
“A delay-disturbance method to counteract the dynamical degradation of digital chaotic systems and its application”
- Authors: Li, B., Sun, K., Wang, H., Liu, W.
- Journal: Chaos, Solitons & Fractals
- Year: 2024
- Volume: 182
- Article Number: 114843
“The Modular Modulation Chaotification Map and its Hardware Implementation”
- Authors: Liu, W., Sun, K., Wang, H., Li, B.
- Journal: IEEE Transactions on Instrumentation and Measurement
- Year: 2024
- Volume: 73
- Pages: 1–9
- Article Number: 2002109
“Delayed Feedback Chaotification Model and Its Hardware Implementation”
- Authors: Liu, W., Sun, K., Wang, H., Li, B.
- Journal: IEEE Transactions on Industrial Electronics
- Year: 2024
- Volume: 71
- Issue: 10
- Pages: 13002–13011

Rahmat-Allah Hooshmand | Infrastructure Resilience | Top Researcher Award

Posted on 14/06/202414/06/2024 by ScienceFather

Prof. Rahmat-Allah Hooshmand, Infrastructure Resilience, Top Researcher Award

Professor at University of Isfahan, Iran

Prof. Rahmat-Allah Hooshmand is a distinguished Professor in the Department of Electrical & Electronic Engineering at the University of Isfahan, Iran. He earned his Ph.D. in Electrical Engineering from Tarbyat-Modarres University in 1995 with a dissertation focused on optimal load shedding and generation reallocation using crisp and fuzzy linear programming. He also holds an M.Sc. in Power Engineering from Tehran University and a B.Sc. in Power Engineering from Mashhad University. Prof. Hooshmand has held various academic positions, beginning as an Assistant Professor at Shahid Chamran University in 1996. He joined the University of Isfahan in 2004, where he progressed from Assistant Professor to Associate Professor, and has been a full Professor since 2011. He teaches a wide range of courses, including Power System Analysis, High Voltage Engineering, and Power System Reliability. An active researcher, Prof. Hooshmand’s interests include power system operation and control, restructuring and deregulation, reliability, and the application of intelligent systems in power systems. He has supervised over 60 senior projects and 50 Master’s and Ph.D. theses. His contributions to both academia and the field of electrical engineering have established him as a prominent figure in his discipline.

Profile:

Education:

Prof. Rahmat-Allah Hooshmand holds a Ph.D. in Electrical Engineering from the Department of Electrical Engineering, Tarbyat-Modarres University, earned in February 1995. His dissertation, titled “Optimal Load Shedding and Generation Reallocation in Power Systems using Crisp and Fuzzy Linear Programming,” was supervised by Prof. Hosein Seifi and Prof. V. Tahani. He also holds an M.Sc. in Power Engineering from Tehran University, obtained in September 1991, where he focused on “Identification of Coherent Generators in Power Systems of IRI” under the supervision of Dr. Mohsen Parsa Moghaddam. Prof. Hooshmand completed his B.Sc. in Power Engineering at Mashhad University in September 1989.

Professional Experience:

Prof. Rahmat-Allah Hooshmand has extensive professional experience in the field of electrical engineering. He began his academic career as an Assistant Professor in Power Systems at the Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University, Ahvaz, from May 1996 to September 2004. He then joined the Department of Electrical & Electronic Engineering, Faculty of Engineering, University of Isfahan, Isfahan, where he continued to serve as an Assistant Professor until 2006. From 2006 to 2011, he was an Associate Professor at the same institution. Since September 2011, Prof. Hooshmand has been a full Professor in Power Systems at the University of Isfahan. Throughout his tenure, he has taught a wide array of courses at both undergraduate and graduate levels, supervised numerous senior projects, Master’s theses, and Ph.D. dissertations, and actively contributed to research in power system operation, control, restructuring, reliability, and high-voltage engineering.

Research Interest:

Prof. Hooshmand’s research interests are diverse and impactful, covering Power System Operation and Control, Power System Restructuring and Deregulation, Power System Reliability, Intelligent Systems in Power Systems, and High-Voltage Engineering. He has made significant contributions to these fields through his research, teaching, and supervision, solidifying his reputation as a leading expert in electrical engineering.