Oluwatobi Adedamola Ayilara-Adewale | Artificial Intelligence | Innovative Research Award

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Dr. Oluwatobi Adedamola Ayilara-Adewale | Artificial Intelligence | Innovative Research Award

Lecturer | Osun State University | Nigeria

Dr. Oluwatobi Adedamola Ayilara-Adewale is a computer science researcher specializing in machine learning, AI-driven cybersecurity and intelligent systems, serving as an academic and research contributor in these domains. With advanced degrees in computer science and a strong foundation in computational methods and digital systems, he has gained professional experience through participation in national and international research projects involving digital resilience, smart agriculture, climate-focused data analytics and secure digital infrastructures, often providing technical leadership in multidisciplinary teams. His research focuses on artificial intelligence, IoT security, intrusion detection, blockchain security, predictive analytics and cyber-resilient architectures, supported by numerous peer-reviewed publications spanning journals, conference outputs and book chapters. He has contributed to the development of machine learning models for security, intelligent decision-support systems and emerging frameworks for digital trust. Dr. Ayilara-Adewale has received recognition for innovative research and holds professional certifications in cloud computing, cybersecurity and penetration testing. He is an active member of multiple professional bodies, reflecting his commitment to advancing knowledge in computing and cybersecurity, and he has engaged in collaborative initiatives that strengthen the ecosystem of applied AI research. His growing scholarly profile, technical versatility and dedication to secure and intelligent systems position him as a valuable contributor to contemporary research and a strong candidate for excellence awards.

Profiles: Google Scholar

Featured Publications

1. Jimoh, K., Ajayi, A., & Ayilara, O. (2014). Intelligent model for manual sorting of plastic wastes. International Journal of Computer Applications, 101(7), 20–26.

2. Jimoh, K. O., Adepoju, T. M., Sobowale, A. A., & Ayilara, O. A. (2018). Offline gesture recognition system for Yorùbá numeral counting. Asian Journal of Research in Computer Science, 1(4), 1–11.

3. Ajayi, A. O., Jimoh, K. A., & Ayilara, O. A. (2016). Evaluation of plastic waste classification systems. British Journal of Mathematics & Computer Science, 16(3), 1–11.

4. Ayilara, M. S., Fasusi, S. A., Ajakwe, S. O., Akinola, S. A., Ayilara-Adewale, O. A., … (2025). Impact of climate change on agricultural ecosystem. In Climate change, food security, and land management: Strategies for a sustainable future.

5. Olanrewaju, A., & Ayilara, O. A. (2024). The effect of data compromises on internet users: A review on financial implication of the elderly in the United States. African Journal of Social Sciences and Humanities Research, 1, 28–37.

Dr. Oluwatobi Adedamola Ayilara-Adewale’s work advances secure and intelligent digital ecosystems by integrating artificial intelligence with resilient cybersecurity frameworks. His research contributes to safer technologies, sustainable data-driven solutions and innovative systems that support societal development, industry transformation and global digital trust.

Yongliang Zhang | Electronics | Best Researcher Award

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Dr. Yongliang Zhang | Electronics | Best Researcher Award

Professor, Inner Mongolia University, China

Zhang Yongliang is a distinguished professor at the School of Electronic Information Engineering, Inner Mongolia University. Born in October 1985 in Hohhot, Inner Mongolia, he is a member of the Communist Party of China. Professor Zhang has made significant contributions to the fields of electronic information and electromagnetic research, holding a vital role in mentoring graduate students and leading pioneering research projects.

Profile

Scopus

🎓 Education

Zhang Yongliang completed his Bachelor’s degree in Electronic Information Engineering at Xidian University in 2009. He continued his education at the same university, earning a Ph.D. in Electronic Science and Technology with a specialization in Electromagnetic Field and Microwave Technology in 2014 under the supervision of Professor Liang Changhong.

💼 Experience

Professor Zhang began his academic career as a lecturer at Inner Mongolia University in 2014. He was promoted to Associate Professor in 2017 and achieved full Professorship in 2020. Additionally, he served as a visiting researcher at Tohoku University, Japan, in 2020, expanding his international experience and collaborative research endeavors.

🔬 Research Interests

Professor Zhang’s research interests are diverse and cutting-edge. They include:

  1. Artificial Intelligence and Machine Learning applications in control engineering and pattern recognition.
  2. Electromagnetic fields, microwave, and millimeter-wave research integrating AI for enhanced performance.
  3. Communication RF front-end device optimization, including filters and antennas.
  4. Integrated circuit and microelectronic device research.
  5. Computational electromagnetics.
  6. Intelligent automotive electronics and vehicle communication systems.

📖 Publications Top Notes

Professor Zhang has an extensive list of publications, with notable recent works including:

  1. 2023:
    • Zhang, Yongliang et al., “A Coupling Matrix Synthesis Design for Filtering Antenna With Good Out-of-Band Suppression,” IEEE Antennas and Wireless Propagation Letters. Link
    • Zhang, Yongliang et al., “Compact wideband filtering Balun Based on SISL Technology,” International Journal of Microwave and Wireless Technologies. Link
    • Li, Kunlai et al., “A novel algorithm of the perfectly matched layer based on the Runge–Kutta method of order 2 accuracy,” Microwave and Optical Technology Letters. Link
  2. 2022:
    • Zhang, Yongliang et al., “A 3 dB SISL coupler design by multi-objective evolutionary algorithm based on decomposition,” International Journal of RF and Microwave Computer-Aided Engineering. Link
    • Zhang, Yongliang et al., “A single cavity wideband passband filter with a notched band,” International Journal of RF and Microwave Computer-Aided Engineering. Link
    • Zhang, Xianfang et al., “A novel MS to SL vialess vertical transition for high-performance substrate integrated filter,” International Journal of RF and Microwave Computer-Aided Engineering. Link