Opeyemi Afolabi | Biometrics and Security | Best Scholar Award

Mr. Opeyemi Afolabi | Biometrics and Security | Best Scholar Award

Student | Instituto Politecnico Nacional | Mexico

Mr. Opeyemi  Afolabi is a promising researcher whose scholarly endeavors focus on the intersection of chaotic systems, fractional-order modeling, and reconfigurable digital hardware design. His research contributes to advancing the understanding and implementation of complex nonlinear systems in secure communication and intelligent signal processing. With 4 scientific documents, 1citation, and an h-index of 1, his emerging academic profile demonstrates a strong foundation in computational modeling and hardware-oriented system innovation.His recent publications in Fractal and Fractional (MDPI) highlight his growing impact in the field of digital systems and secure image transmission. In FPGA Realization of a Fractional-Order Model of Universal Memory Elements”  and FPGA Implementation of Secure Image Transmission System Using 4D and 5D Fractional-Order Memristive Chaotic Oscillators, Afolabi and his collaborators   including Esteban Tlelo-Cuautle, Jose-Cruz Nuñez-Perez, Vincent-Ademola Adeyemi, and Yuma Sandoval-Ibarra present pioneering FPGA-based realizations of fractional-order systems. These studies merge mathematical theory with hardware efficiency to improve system reliability, encryption strength, and processing speed.Afolabi’s expertise lies in the FPGA implementation of nonlinear circuits, fractional-order chaotic oscillators, and secure digital communication architectures. His research is notable for bridging the theoretical complexity of fractional calculus with practical, hardware-level applications that enhance data security, image integrity, and communication efficiency.The broader societal relevance of his work lies in its potential to strengthen cybersecurity infrastructure, medical imaging reliability, and industrial automation systems. Through innovative system modeling and collaborative research, Afolabi contributes to the global pursuit of secure, energy-efficient, and intelligent digital technologies. His ongoing work reflects a vision of integrating advanced computational paradigms into real-world digital solutions that support technological resilience and global innovation.

Profiles: ORCID |  Scopus

Featured Publications

1. Afolabi, O. M., Adeyemi, V. A., Tlelo-Cuautle, E., & Nuñez-Perez, J.-C. (2024). FPGA realization of a fractional-order model of universal memory elements. Fractal and Fractional, 8(10), 605.

2. Nuñez-Perez, J.-C., Afolabi, O. M., Adeyemi, V. A., Sandoval-Ibarra, Y., & Tlelo-Cuautle, E. (2025). FPGA implementation of secure image transmission system using 4D and 5D fractional-order memristive chaotic oscillators. Fractal and Fractional, 9(8), 506.

Opeyemi Micheal Afolabi’s research advances the frontiers of secure digital communication and hardware intelligence by integrating chaotic and fractional-order systems into FPGA-based architectures. His innovative work enhances the reliability, security, and efficiency of digital technologies, contributing to global progress in cybersecurity, embedded systems, and next-generation communication infrastructure.

Dr. Shao Cuiping | System Security | Best Researcher Award

Dr. Shao Cuiping | System Security | Best Researcher Award

Doctorate at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

👨‍🎓 Profiles

Orcid

Google Scholar

Education

  • Ph.D. in Computer Application Technology (University of Chinese Academy of Sciences, 2019)
  • M.Eng. in Microelectronics (Xi’an Institute of Microelectronics Technology, 2012)
  • B.Eng. in Electronic Science and Technology (Xi’an University of Technology, 2009)

🔬 Research Interests

  • System Security 
  • IC Testability and Reliability 
  • Heterogeneous Chip Optimization Design

🏆 Awards

  • High-Level Talent Recognition (Shenzhen City)
  • 2020 Guangdong Province Science and Technology Progress Award (2nd Prize) 
  • 2020 Shenzhen City Science and Technology Progress Award (1st Prize) 
  • 2019 Wu Wenjun Artificial Intelligence Science and Technology Award (3rd Prize) 
  • Six-Time “Excellent Employee” Award at SIAT
  • “Energetic Rose Award” for SIAT’s 15th Anniversary 
  • 7 Innovation Awards from SIAT

🛠️ Work Experience

  • Research Intern & Assistant Researcher (Shenzhen Institute of Advanced Technology, CAS)
  • Associate Researcher (2020-2024)

📋 Service & Influence

  • Project Reviewer (Guangdong Provincial Department of Science and Technology)
  • Expert Committee Member (Shenzhen Commercial Cryptography Industry Association)
  • Senior Member (China Computer Federation)
  • Member (Chinese Institute of Electronics)
  • Reviewer for IEEE Transactions on VLSI Systems, Circuits and Systems I, and Dependable and Secure Computing

 

Publications

Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation

  • Authors: Yunduan Cui, Wenbo Shi, Huan Yang, Cuiping Shao, Lei Peng, Huiyun Li
  • Journal: IEEE Transactions on Industrial Informatics
  • Year: 2023

Anomaly recognition method of perception system for autonomous vehicles based on distance metric

  • Authors: Cuiping Shao, Beizhang Chen, Zujia Miao, Yunduan Cui, Huiyun Li
  • Journal: Electronics Letters
  • Year: 2022

Detection of security vulnerabilities in cryptographic ICs against fault injection attacks based on compressed sensing and basis pursuit

  • Authors: Cuiping Shao, Dongyan Zhao, Huiyun Li, Song Cheng, Shunxian Gao, Liuqing Yang
  • Journal: Journal of Cryptographic Engineering
  • Year: 2024

The Bitmap Decryption Model on Interleaved SRAM Using Multiple-Bit Upset Analysis

  • Authors: Jinlong Guo, Guangbo Mao, Wenjing Liu, Cuiping Shao, Ruqun Wu, Yaning Li, Jing Zhao, Cheng Shen, Hongjin Mou, Lei Zhang, Huiyun Li, Guanghua Du
  • Journal: IEEE Transactions on Nuclear Science
  • Year: 2022

Data redundancy mitigation in V2X based collective perceptions

  • Authors: Hui Huang, Huiyun Li, Cuiping Shao, Tianfu Sun, Wenqi Fang, Shaobo Dang
  • Journal: IEEE Access
  • Year: 2020