Shah Noor | Photocatalysis | Outstanding Research and Development Award

Dr. Shah Noor | Photocatalysis | Outstanding Research and Development Award

Dr. Shah Noor | Jilin University | China

Dr. Shah Noor is an emerging materials and environmental science researcher whose work focuses on advanced photocatalysis, sustainable energy technologies, and innovative environmental remediation solutions. His notable contributions include the development of oxygen-vacancy–mediated single-unit-cell Bi₂WO₆ nanostructures via Ti doping, demonstrating significantly enhanced photocatalytic activity for degradation of pollutants, which has been well recognized within the materials science community. He has also produced influential research on MXenes as a next-generation class of two-dimensional materials with exceptional promise for photocatalytic applications, offering new pathways for clean energy generation and environmental purification. His interdisciplinary portfolio extends into pioneering studies on water splitting and lithium-ion batteries, addressing global demands for high-efficiency renewable energy storage and conversion technologies. Additionally, he has participated in the design and synthesis of new dihydropyridine- and benzylideneimine-based tyrosinase inhibitors, contributing to targeted pharmaceutical development. His environmental science work assessing heavy metal contamination and phytoremediation strategies in groundwater demonstrates a strong commitment to tackling real-world sustainability challenges. Dr. Noor’s research consistently blends advanced material innovation with societal impact, highlighting applications ranging from clean water and energy to healthcare and ecological restoration. Across his publications in reputable international journals, he leverages multidisciplinary approaches, collaborative research, and modern experimental methods to deliver scientific outcomes with direct industrial and environmental relevance. Dr. Noor’s strong momentum in impactful research positions him as a valuable contributor to global efforts in developing sustainable solutions and advancing cutting-edge technologies that support a cleaner and healthier future.

Profile: Google Scholar

Featured Publications

Arif, M., Zhang, M., Mao, Y., Bu, Q., Ali, A., Qin, Z., Muhmood, T., Liu, X., Zhou, B., … Shah, N. (2021). Oxygen vacancy mediated single unit cell Bi₂WO₆ by Ti doping for ameliorated photocatalytic performance. Journal of Colloid and Interface Science, 581, 276–291.

Shah, N., Wang, X., & Tian, J. (2023). Recent advances in MXenes: A promising 2D material for photocatalysis. Materials Chemistry Frontiers, 7(19), 4184–4201.

Hashmi, S. M., Noor, S., & Parveen, W. (2025). Advances in water splitting and lithium-ion batteries: Pioneering sustainable energy storage and conversion technologies. Frontiers in Energy Research, 12, 1465349.

Ahmad, I., Parveen, W., Noor, S., Udin, Z., Ali, A., Ali, I., Ullah, R., & Ali, H. (2024). Design and synthesis of novel dihydropyridine- and benzylideneimine-based tyrosinase inhibitors. Frontiers in Pharmacology, 15, 1332184.

Khan, S., Kamal, M., Noor, S., & Afzal, S. M. (2024). Assessment of heavy metals and its treatment through phytoremediation in groundwater along River Kabul in district Charsadda. Frontiers in Environmental Science, 12, 1392892.

Dr. Olumuyiwa Otegbeye | Numerical Methods | Best Researcher Award

Dr. Olumuyiwa Otegbeye | Numerical Methods | Best Researcher Award

Dr. Olumuyiwa Otegbeye, University of the Witwatersrand, South Africa

Dr. Olumuyiwa Otegbeye is a dedicated academic with a rich background in applied mathematics. He earned his Ph.D. in Applied Mathematics from the University of KwaZulu-Natal, where he also completed his M.Sc. and B.Sc. Hons. degrees, and holds a B.Sc. Hons. in Pure and Applied Mathematics from Bowen University. Dr. Otegbeye has served as a Lecturer at the University of the Witwatersrand, Johannesburg, and held postdoctoral and teaching positions at the University of KwaZulu-Natal. His early career included teaching mathematics at Nigeria Defence Academy Primary School. He boasts an H-Index of 7 on Google Scholar, 6 on Scopus, and 4 on Web of Science, reflecting his significant scholarly impact. Additionally, Dr. Otegbeye contributes as a reviewer for prominent journals such as Mathematics (MDPI), Axioms, International Journal of Modern Physics B, and Mathematics and Computers in Simulation.

🌍 Professional Profile

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Suitability for Best Researcher Award:

Dr. Olumuyiwa Otegbeye is a strong candidate for the Best Researcher Award due to his comprehensive achievements in applied mathematics, evidenced by his research impact, teaching roles, and contributions to postgraduate supervision. His active participation in academic communities and his notable bibliometric performance further affirm his qualifications for this recognition.

🎓 Academic Qualifications:

Dr. Otegbeye earned his Ph.D. in Applied Mathematics from the University of KwaZulu-Natal, following an M.Sc. and B.Sc. Hons. in Applied Mathematics from the same institution. He also holds a B.Sc. Hons. in Pure and Applied Mathematics from Bowen University.

🌍 Ratings and Citations:

His scholarly impact is notable, with an H-Index of 7 on Google Scholar, 6 on Scopus, and 4 on Web of Science, along with significant citations across these platforms.

📈 Reviewer Experience:

Dr. Otegbeye reviews for prominent journals including Mathematics (MDPI Publishing House), Axioms, International Journal of Modern Physics B, and Mathematics and Computers in Simulation.

📚 Current and Previous Positions:

Dr. Olumuyiwa Otegbeye has held several academic roles, including Lecturer at the University of the Witwatersrand, Johannesburg, from January 2021 to March 2024. Prior to this, he was a Postdoctoral Fellow at the University of KwaZulu-Natal (May 2019 – December 2020) and served as an Adhoc Mathematics Lecturer and Demonstrator/Tutor at the same institution. He began his academic career as a Mathematics Teacher at Nigeria Defence Academy Primary School.

Publication Top Notes:

  • Title: Magnetohydrodynamic Bio-Convective Casson Nanofluid Flow: A Numerical Simulation by Paired Quasilinearisation
    • Cited by: 33
    • Year: 2020
  • Title: A Machine Learning Solution Framework for Combatting COVID-19 in Smart Cities from Multiple Dimensions
    • Cited by: 32
    • Year: 2020
  • Title: A Novel Smart City-Based Framework on Perspectives for Application of Machine Learning in Combating COVID-19
    • Cited by: 29
    • Year: 2021
  • Title: A Paired Quasi-Linearization on Magnetohydrodynamic Flow and Heat Transfer of Casson Nanofluid with Hall Effects
    • Cited by: 20
    • Year: 2019
  • Title: Wind Energy Resource Assessment in South Western of Algeria
    • Cited by: 19
    • Year: 2019