Oluwaseun Akinte | Optimization | Best Researcher Award

Published on by Math Scientist

Dr. Oluwaseun Akinte | Optimization | Best Researcher Award

Oluwaseun Akinte | Rajamangala University of Technology Thanyaburi | Thailand

Dr. Oluwaseun Olanrewaju Akinte is a Postdoctoral Researcher in Energy and Materials Engineering at Rajamangala University of Technology Thanyaburi, specializing in renewable energy systems, hybrid microgrids, and advanced storage technologies. He earned his Ph.D. in Energy and Materials Engineering from Rajamangala University of Technology Thanyaburi, an M.Sc. in Electrical and Electronic Engineering from Coventry University, United Kingdom, and a B.Sc. in Electrical and Electronic Engineering from Olabisi Onabanjo University, Nigeria. His professional journey spans academia and industry, including roles as Research Assistant at RMUTT, Academic Tutor in Nigeria, Project/Site Engineer with Electromechanical Integrators Inc., and voluntary postgraduate lecturer at the University of the People, USA. His research contributions focus on energy storage optimization, hybrid renewable energy networks, and techno-econometric analysis of integrated microgrids, producing impactful publications in high-ranking journals such as IEEE Access, Energies, Sustainability, and Franklin Open, alongside international conference presentations. Dr. Akinte has co-authored over 16 journal and conference papers with 18 citations across 18 documents, reflecting his growing scholarly influence. His leadership extends to collaborative projects with industrial partners, addressing energy efficiency and sustainability challenges, while his invited talks at international congresses highlight his recognition in the global research community. He has been honored with the E-CUBE-I RMUTT Scholarship and the Best Oral Presentation Award at the Energy Society and Sustainability Conference. In addition, he is an active member of the International Association of Engineers (IAENG), contributing to knowledge exchange in the field of electrical and energy engineering. With strong expertise in power system modeling, microgrid optimization, and renewable integration, Dr. Akinte continues to advance innovative energy solutions with global impact. Citations: 18, Documents: 5, h-index: 2.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Akinte O.O.*, Plangklang B., Prasartkaew B., Aina T.S., Energy storage management of a solar photovoltaic–biomass hybrid power system. Energies, 2023, 16(13), 5122.

2. Aina T.S.*, Akinte O.O., Awelewa A.J., Adelakun D.O., Critical evaluation of waterfall project management methodology: A case study of digital management conference project. Int. J. Adv. Multidiscip. Res. Stud., 2022, 2, 1–10.

3. Akinte O.O.*, Aina T.S., HVAC vs HVDC power system: Contemporary development in HVAC and HVDC power transmission system. Int. J. Sci. Technol. Res., 2021, 19, 252–261.

4. Aina T.S.*, Akinte O.O., Iyaomolere B.A., Investigation on performance of microstrip patch antenna for a practical wireless local area network (WLAN) application. Int. J. Res. Appl. Sci. Eng. Technol. (IJRASET), 2022, 10, 221–226.

5. Aina T.S.*, Akinte O.O., Iyaomolere B., Tosin A.E., Abode I.I., Awelewa A.J., Implementation of an intelligent motion detector. Int. Res. J. Eng. Technol. (IRJET), 2022, 9(1), 1148–1165.

Faïçal Ndaïrou | Optimization | Best Researcher Award

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Dr. Faïçal Ndaïrou | Optimization | Best Researcher Award

Researcher at University of Aveiro | Portugal

Dr. Faïcal Ndaïrou is an accomplished researcher in applied mathematics, fractional calculus, and mathematical epidemiology, recognized for his expertise in optimization theory and infectious disease modeling, with a career that reflects both academic excellence and international research impact. He began his higher education at the African Institute for Mathematical Sciences (AIMS) in Cameroon, where he earned a Master’s in Mathematical Sciences in 2015 with Distinction, focusing on mathematical epidemiology, computational science, and bioinformatics. He went on to complete two doctoral programs that highlight his interdisciplinary strengths: in 2020, he earned a Ph.D. in Water Sustainability and Development from the University of Vigo, Spain, with Outstanding Cum Laude honors, focusing on mathematical modeling of water-related infectious diseases, and in 2022, he completed a Ph.D. in Applied Mathematics at the Universities of Aveiro, Porto, and Minho, Portugal, with Distinction, specializing in optimization subject to fractional dynamics with applications to disease modeling. Professionally, Dr. Ndaïrou has contributed as a researcher at the Center for Research and Development in Mathematics and Applications (CIDMA), Portugal, and more recently as a postdoctoral researcher at the Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, supported by the prestigious PIKOM fellowship. His research interests lie in fractional calculus, optimization, computational mathematics, and epidemiological modeling, and his skills include proficiency in Python, R, Matlab, Julia, Maple, Sage, and LaTeX. He has published in leading journals such as Applied Mathematics and Computation, Chaos, Solitons & Fractals, and Mathematics, while serving as Guest Editor and on editorial boards for MDPI Mathematics and Frontiers in Applied Mathematics and Statistics. A recipient of highly competitive scholarships from FCT Portugal, the Bulgarian Ministry of Education, and AIMS Cameroon, Dr. Ndaïrou continues to build a reputation as a rising leader whose research bridges theoretical innovation with urgent societal challenges in health and sustainability.

Profiles: Scopus | Google Scholar | ORCID

Publications

1. Ndaïrou, F., Area, I., Nieto, J. J., & Torres, D. F. M. (2020). Mathematical modeling of COVID-19 transmission dnamics with a case study of Wuhan. Chaos, Solitons & Fractals, 135, 109846. Citations: 885

2. Ndaïrou, F., Area, I., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2021). Fractional model of COVID-19 applied to Galicia, Spain and Portugal. Chaos, Solitons & Fractals, 144, 110652. Citations: 106

3. Area, I., Ndairou, F., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2017). Ebola model and optimal control with vaccination constraints. arXiv preprint arXiv:1703.01368. Citations: 102

4. Ndaïrou, F., Area, I., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2018). Mathematical modeling of Zika disease in pregnant women and newborns with microcephaly in Brazil. Mathematical Methods in the Applied Sciences, 41(18), 8929–8941. Citations: 63

5. Area, I., Losada, J., Ndairou, F., Nieto, J. J., & Tcheutia, D. D. (2017). Mathematical modeling of 2014 Ebola outbreak. Mathematical Methods in the Applied Sciences, 40(17), 6114–6122. Citations: 40