Nazmat Surajudeen Bakinde
Nazmat Surajudeen-Bakinde | |
|---|---|
| Born | November 12, 1974 Offa, Nigeria |
| Citizenship | Nigerian |
| Alma mater | |
| Occupations |
|
| Office | Vice Chancellor of University of Applied Science, Engineering and Technology (USET) Gambia |
Professor Nazmat Surajudeen Bakinde (born 12th November 1974) is a Nigerian Professor of Electrical/Electronics Engineering from the University of Ilorin, Nigeria. She is currently the Vice Chancellor of the University of Applied Science, Engineering and Technology (USET) Gambia.[1][2][3][4]
Early life and education
Nazmat Surajudeen-Bakinde is a native of Offa, from Ajilo Compound Offa, Kwara State, Nigeria. She studied at Offa Grammar School and was head girl for two years. She earned her bachelor's degree in Engineering in 1997 and her master's degree in Engineering in 2004 from the University of Ilorin. In 2010, she received her PhD in Engineering and Electronics from the University of Liverpool, United Kingdom.[5] She is a specialist in telecommunications and in wireless communications.[6][7]
Career
Bakinde previously served at the University of Ilorin as an Assistant Director (Administration) with the Centre for International Education and as the acting head of the Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, University of Ilorin prior to her appointment as the Vice Chancellor of University of Applied Science, Engineering and Technology (USET) Gambia in year 2024.[8]
Notable publications
- Multimedia tools in the teaching and learning processes: A systematic review[9]
- Path loss predictions in the VHF and UHF bands within urban environments: Experimental investigation of empirical, heuristics and geospatial models[10]
- Path loss predictions for multi-transmitter radio propagation in VHF bands using Adaptive Neuro-Fuzzy Inference System[11]
- Adaptive Neuro-Fuzzy model for path loss prediction in the VHF band[12]
- ICT enabled Almajiri education in Nigeria: Challenges and prospects[13]
- Dynamic Mode Decomposition-Based Features for Ovarian Cancer Gene Expression Classification Using Machine Learning[14]
References
- ↑ "Prof. (Mrs.) Nazmat Toyin Surajudeen-Bakinde – Department Of Electrical & Electronics Engineering". Retrieved 2025-05-04.
- ↑ "Gov Abdulrazaq celebrates Prof. Nazmat's appointment as USET VC in Gambia". 2025.
- ↑ Kanu, Peace Piak (2024-09-30). "Gambia: 4 Nigerian Professors get appointed into Tertiary Institution". Voice of Nigeria. Archived from the original on 2025-05-04. Retrieved 2025-05-04.
- ↑ Abdulazeez, Arowona (2023-12-04). "UNILORIN gets 48 new Professors (See full details)". Royal News. Retrieved 2025-05-04.
- ↑ "Prof. Nazmat Toyin Surajudeen-Bakinde (member, BoT) - ENetSuD". ENetSuD. Archived from the original on 2025-07-19. Retrieved 2025-10-01.
- ↑ TAJUDEEN, Suleiman (2024-12-03). "How I Became VC Of Gambian University- Prof Bakinde". The Whistler. Retrieved 2025-05-04.
- ↑ "Prof. Nazmat Toyin Surajudeen-Bakinde (member, BoT)". ENetSuD. Retrieved 2025-05-04.
- ↑ "NAZMAT TOYIN SURAJUDEEN-BAKINDE". scholar.google.com. Retrieved 2025-05-04.
- ↑ "Multimedia tools in the teaching and learning processes: A systematic review". scholar.google.com. Retrieved 2025-05-04.
- ↑ "Path loss predictions in the VHF and UHF bands within urban environments: Experimental investigation of empirical, heuristics and geospatial models". scholar.google.com. Retrieved 2025-05-04.
- ↑ "Path loss predictions for multi-transmitter radio propagation in VHF bands using Adaptive Neuro-Fuzzy Inference System". scholar.google.com. Retrieved 2025-05-04.
- ↑ "Adaptive Neuro-Fuzzy model for path loss prediction in the VHF band". scholar.google.com. Retrieved 2025-05-04.
- ↑ Fahm, Abdulgafar Olawale; Azeez, Adesina Lukuman; Imam-Fulani, Yusuf Olayinka; Mejabi, Omenogo Veronica; Faruk, Nasir; Abdulrahaman, Musbau Dogo; Olawoyin, Lukman Abiodun; Oloyede, Abdulkarim Ayopo; Surajudeen-Bakinde, Nazmat Toyin (2022). "ICT enabled Almajiri education in Nigeria: Challenges and prospects". Education and Information Technologies. 27 (3): 3135–3169. doi:10.1007/s10639-021-10490-7. PMC 8435755. PMID 34539214. Retrieved 2025-05-04.
- ↑ Bakinde Nazmat (2025). "Dynamic Mode Decomposition-Based Features for Ovarian Cancer Gene Expression Classification Using Machine Learning". ResearchGate.