Ayodeji Salau

About

Dr. Ayodeji Olalekan Salau is an Associate Professor in the Department of Electrical/Electronics and Computer Engineering, Afe Babalola University, Ado-Ekiti, Nigeria (2022-present). He obtained his B.Eng. degree in Electrical/Computer Engineering from Federal University of Technology Minna, and earned both his MSc and PhD degrees in Electronic and Electrical Engineering from Obafemi Awolowo University.

Dr. Salau is a registered professional engineer with the Council for the Regulation of Engineering in Nigeria (COREN), and a member of the Institute of Electrical and Electronics Engineers (IEEE) and the International Association of Engineers (IAENG). He serves as a reviewer for several reputable international journals and actively contributes to the global research community as a Chair, Co-Chair, and Technical Program Committee member of numerous international conferences.

He has authored four academic books and published over 300 research articles in leading international journals, book series, and conference proceedings. His research interests span computer vision, image processing, signal processing, artificial intelligence, and power systems engineering.

In recognition of his outstanding research contributions, Dr. Salau has received numerous prestigious awards and honors. In 2019, his publication was recognized as the Best Paper of the Year in Cogent Engineering. In 2020, he received the Quarterly Franklin Membership Award from the Editorial Board of London Journals Press for exceptional research output. In the same year, he was honored with the “Best Researcher Award” at the International Research Award on New Science Inventions (NESIN), presented by ScienceFather.

In 2022, Dr. Salau received the International Best Researcher Award from the ISSN International Science and Technology Awards and Congress. He was also recognized by Afe Babalola University with the Best Researcher Award for the 2020–2022 period. According to the 2026 SciVal analysis and ranking, he is ranked among the leading researchers in Nigeria, achieving 6th position among the country’s top 500 researchers.

Dr. Salau was listed among the World’s Top 2% Scientists in the field of Artificial Intelligence by Stanford University and Elsevier in 2023, 2024, 2025, and 2026. In 2025, he received the Award of 2nd Position in the category of Best AI Researcher in Higher Education (Universities Category) during the AI Awareness Day celebration organized by the National Association of AI Practitioners in collaboration with the National Universities Commission and Tertiary Education Trust Fund.

More recently, Dr. Salau received the Best Researcher Award at the prestigious International UILA Awards 2025, held in conjunction with the 6th International Conference on Data Analytics and Management organized by London Metropolitan University. He was also recognized as the Outstanding Associate Editor of Frontiers in Bioinformatics for 2025.

Employment

• Afe Babalola University Associate Professor
  2022 - Present
• Afe Babalola University Senior Lecturer in the Department of
  2019 - 2022

Education

• Obafemi Awolowo University Faculty of Technology M.Sc.
  2012 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (381)

• Microgrid integration into IEEE standard test-bus distribution networks: Load flow, optimal dispatch, reliability, and protection coordination — A state-of-the-art review
  Computers and Electrical Engineering 2026 DOI: 10.1016/j.compeleceng.2026.111424
  +Save
• Hybrid MobileNetV2-ViT architecture for multimodal emotion recognition on mobile devices with contextual sentiment fusion
  Knowledge-Based Systems 2026 DOI: 10.1016/j.knosys.2026.116710
  +Save
• Compact ultra-wideband multi-band frequency-selective surface with angular stability using CNN–GNN-assisted design optimization for 5G applications
  Journal on Wireless Communications and Networking 2026 DOI: 10.1186/s13638-026-02672-z
  +Save
• Adaptive Komodo Mlipir–Optimized Spatiotemporal Graph Neural Network for Dataset-Specific Physiological-State Classification
  International Research Journal of Multidisciplinary Technovation 2026 DOI: 10.54392/irjmt2651
  +Save
• Enhanced air quality index classification: leveraging genetic algorithm and SMOTE for accurate assessments in Indian cities
  Bulletin of Electrical Engineering and Informatics 2026 DOI: 10.11591/eei.v15i4.9996
  +Save
• Explainable Multi-Class Classification of Leg Fractures in Radiographs Using a Multi-Branch Convolutional Neural Network with Gradient-Weighted Class Activation Mapping
  Ingénierie des systèmes d information 2026 DOI: 10.18280/isi.310721
  +Save
• Hybrid energy storage integration with advanced power electronics for stability in wind-solar hybrid systems
  Journal of Engineering Research 2026 DOI: 10.1016/j.jer.2026.07.011
  +Save
• Enhanced protection scheme design of power distribution networks through optimal DG integration using MALO and ETAP
  Energy Reports 2026 DOI: 10.1016/j.egyr.2026.109063
  +Save
• Frequency Control in Microgrids with Electric Vehicles: Multistage PID Controllers Integrated with Adaptive Type-2 Fuzzy Logic for Uncertain Operating Conditions
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.111667
  +Save
• Path optimization for robots using nature-inspired hybrid algorithms: ACO, PSO, and GSO
  Systems and Soft Computing 2026 DOI: 10.1016/j.sasc.2026.200439
  +Save