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Dr. Nicholas O. Oyie

Dr. Nicholas O. Oyie

Lecturer : School of Engineering & Technology
noyie@mut.ac.ke
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Biography

Proactive lecturer and researcher with over three years of experience teaching courses in undergraduate and postgraduate levels. I have super- vised postgraduate students and published a number of peer-reviewed journals. A telecommunication specialist, bringing forth knowledge from a variety of telecommunication sectors. Adept in creating powerful cur- riculum in the fields of Electrical and Electronics Engineering.

Proficient at working with students to successfully prepare them for personal and professional success in today’s world. Knowledgeable and experienced in various educational philosophies, which best promote the overall ex- perience of a student. A committed faculty member, passionate about working to further enhance the educational offerings of an institution.

Education

  • Doctor of Philosophy in Electronic Engineering University of KwaZulu-Natal, Durban, South Africa - Sept. 2019
  • Master of Science in Telecommunication Engineering Jomo Kenyatta University of Technology, Nairobi, Kenya - June 2016
  • Bachelor of Technology in Electrical and Communication En- gineering Masinde Muliro University of Science and Technology, Kakamega, Ken- ya - May 2009

Publications

Journal Publications

  1. Tolulope T. Oladimeji, Pradeep Kumar, Nicholas O. Oyie, “Propa- gation path loss prediction modelling in enclosed environments for 5G networks: A review”, Heliyon, Volume 8, Issue 11, 2022, e11581, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2022.e11581
  2. Mohamed K. Elmezughi, Thomas J. Afullo and Nicholas O. Oyie, “Performance study of path loss models at 14, 18 and 22 GHz in an indoor corridor environment for wireless communications”, Africa Research Journal SAIEE 112, pp. 32-45 (2021)
  3. Nicholas O. Oyie and T. J. O. Afullo, “Spatiotemporal Statistical Channel Model for Indoor Corridor at 14 GHz, 18 GHz, and 22 GHz Bands”, Wireless Communications and Mobile Computing vol. 2018, Article ID 9656029 (10 pages)
  4. Nicholas O. Oyie and T. J. O. Afullo, “Measurements and Analysis of Large-Scale Path Loss Model at 14 and 22 GHz in Indoor Corri- dor”, IEEE Access vol. 6, 17205-17214 (2018)
  5. Nicholas O. Oyie, P. K. Langat and S. Musyoki, “Bandwidth Alloca- tion Algorithm with User Mobility Dynamics in Femtocell Network”, Communications, Acta Press 3, pp 8-17 (2014)

Conference Papers

  1. Thomas Nyajowi, Nicholas Oyie and Mary Ahuna, “Real-Time Detection of Vandalism Using a Hybrid CNN-LSTM Deep Learning Neural Networks”, In the Proceedings of the IEEE AFRICON Arusha, Tanzania, 13-15 September (2021)
  2. K. Elmezughi, T. J. Afullo and Nicholas O. Oyie, “Investigating the Impact of Antenna Heights on Path Loss Models in an Indoor Corridor Environment”, In the Proceedings of The 3rd International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) Durban, South Africa, pp 338- 344, 6-7 August (2020
  3. Nicholas O. Oyie and T. J. O. Afullo, “Characterization of Indoor Corridor Multipath Propagation Channel at 14 GHz, 18 GHz and 22 GHz Bands”, In the Proceedings of The annual Southern Africa Telecommunication Networks and Applications Conference, SATNAC Western Cape, South Africa, 2-5 September (2018)
  1. Nicholas O. Oyie and T. J. O. Afullo, “An Empirical Approach to Omnidirectional Path Loss and Line-of-sight Probability Models at 18 GHz for 5G Networks”, In the Proceedings of The Progress In Electromagnetics Research Symposium, PIERS Toyama, Japan, 1-4August (2018)
  1. Nicholas O. Oyie and T. J. O. Afullo, “A Comparative study of Dual-Slope Path Loss Model in various Indoor Environments at 14 to 22 GHz”, In the Proceedings of The Progress In Electromagnetics Research Symposium, PIERS Toyama, Japan, 1-4 August (2018)
  2. Nicholas O. Oyie, P. K. Langat and S. Musyoki, “Resource Allo- cation Scheme for OFDMA Networks”, In the Proceedings of The JKUAT Sustainable Research and Innovation Conference Nairobi, Kenya, 7-9 May (2014)
  3. Nicholas O. Oyie, P. K. Langat and S. Musyoki, “Resource Alloca- tion Optimization in Femtocell Networks: IBM ILOG CPLEX”, In the Proceedings of The 8th Egerton University International Conference Nakuru, Kenya, 26-27 March (2014)
  4. Nicholas O. Oyie, P. K. Langat and S. Musyoki, “A Mobility-aware Resource Allocation Scheme for Femtocell Networks”, In the Pro- ceedings of The 8th JKUAT Scientific, Technological and Industrial- ization Conference Nairobi, Kenya, 14-15 November (2013)