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DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

UNIVERSITY OF DAR ES SALAAM

Our Academic Staff

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Mr Daudi Mnyanghwalo

  • assistant lecturer

  • +255713899309
  • daudicm@gmail.com

Mr Daudi Mnyanghwalo in summary

Daudi Mnyanghwalo received his BSc in Computer Engineering and Information Technology in 2008 and MSc in Telecommunications Engineering in 2013 from the University of Dar-es-Salaam. He is currently pursuing PhD in Computer and IT Systems Engineering at the University of Dar es Salaam under the iGRID project. He works as an Assistant Lecturer in the Department of Computer Science and Engineering of the University of Dar-es-Salaam and is a registered professional engineer by Engineers Registration Board (ERB) since 2013.

For more than 15 years, He has been involved in several turnkey engineering projects relating to ICT, Security Systems, Telecommunications, Conferencing Solutions and Vehicle Tracking Solutions as an installer, consultant or researcher. His research interests include IoT based Sensor Networks, Smart Grid Monitoring and Control Systems, Machine Learning, communication networks, Optimization Algorithms, Embedded Control Systems and Optical Fibre Communications. He is currently a member of ASIS International and the Institute of Engineers Tanzania (IET). 

Publications

  1. Mnyanghwalo, D., Kundaeli, H., Kalinga, E., & Hamisi, N. (2020). Deep learning approaches for fault detection and classifications in the electrical secondary distribution network: Methods comparison and recurrent neural network accuracy comparison. Cogent Engineering7(1), 1857500.

  2. Kawambwa, S., Mwifunyi, R., Mnyanghwalo, D., Hamisi, N., Kalinga, E., & Mvungi, N. (2021). An improved backward/forward sweep power flow method based on network tree depth for radial distribution systems. Journal of Electrical Systems and Information Technology8(1), 1-18.

  3. Mnyanghwalo, D., Kawambwa, S., Mwifunyi, R., Gilbert, G. M., Makota, D., & Mvungi, N. (2018, December). Fault detection and monitoring in secondary electric distribution network based on distributed processing. In 2018 Twentieth International Middle East Power Systems Conference (MEPCON)(pp. 84-89). IEEE.

  4. Mnyanghwalo, D., Kundaeli, H., Ndyetabura, H., & Kalinga, E. Faults Detection and Classification in Electrical Secondary Distribution Network Using Recurrent Neural Network. In 2020 6th IEEE International Energy Conference (ENERGYCon)

 

Contact Information
Department of Computer Science and Engineering
University of Dar es Salaam
CoICT Kijitonyama Campus
Ali Hassan Mwinyi Road, P.O. Box 33335
Dar es Salaam, Tanzania.
E-mail: daudicm@gmail.com 
Office location: CoICT Block B Room#