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.

Catalin Dumitrescu | Biometrics and Security | Best Researcher Award

Prof. Catalin Dumitrescu | Biometrics and Security | Best Researcher Award

Prof. Habil. Artificial Intelligence | University Politehnica of Bucharest | Romania

Assoc. Prof. Dr. Catalin Dumitrescu is a distinguished researcher and academic specializing in Artificial Intelligence (AI), Digital Signal Processing (DSP), and Machine Learning (ML) with a strong interdisciplinary focus on computer vision, cognitive radio, cyber defence, and multimedia security. His research integrates advanced AI algorithms into industrial electronics, telecommunications, and defence technologies, with a particular emphasis on IMINT/SIGINT systems and cyber defence infrastructures.With an impressive research portfolio comprising over 50 scientific publications, his work has garnered 536 citations, an h-index of 10, and i10-index of 15, reflecting his growing influence in the fields of intelligent systems and adaptive signal processing. Dr. Dumitrescu’s publications in leading journals such as Sensors, Electronics, Applied Sciences, and Fractal and Fractional (MDPI) highlight his expertise in deep learning, visual classification, object detection, and decision-making algorithms. His recent studies focus on AI-driven noise reduction, fractal-based steganography for data security, and UAV detection systems using sensor data fusion and fuzzy logic.His research interests span a wide spectrum, including neural networks for image and audio processing, machine learning-based EEG signal classification, brain-computer interfaces, digital watermarking and cryptography, and real-time signal and image analysis. Through collaborations with academia and industry, he has contributed to the development of automated, intelligent systems for security, communication, and transportation applications, bridging theoretical innovation with practical deployment.Dr. Dumitrescu’s commitment to advancing AI and DSP research extends to mentoring and consultancy, where he collaborates with organizations across industrial electronics, telecommunication, and defence sectors. His work has had a significant societal impact in enhancing the reliability, efficiency, and security of next-generation digital systems. His contributions continue to shape the global discourse on intelligent signal processing, autonomous systems, and secure information technologies.

Profiles: Google Scholar | ORCID 

Featured Publications