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Personal profile

Overview

I graduated with BSc (Joint Honours) in Electronics and Mathematics from Keele University in 1994, and a PhD in Telecommunications from the University of Portsmouth in 1998. I worked for one year as a Research Associate. I was a lecturer and International Coordinator of the Faculty of Technology, University of Portsmouth and have recently joined UWS as Assistant Dean International in the School of Engineering and COmputing. I'm a Visiting Professor at the University of Perlis, Malaysia.

Area of academic expertise - outline

  • Advanced experimental system development for wireless wideband channel studies
  • Indoor and outdoor wireless channel measurement and modelling
  • Channel fading mitigation for fixed and mobile wireless communication systems
  • Wireless sensor networks, ad hoc networks and mesh networks
  • Impact of vegetation on radio waves
  • Ambient information aggregation and management for resource management and security
  • Rainfall modelling and prediction for application in telecommunications, water resource management and flood prediction

I have organised and co-organised many conferences at both national and international levels. These include: IADAT International Conference on Telecommunications and Computer Networks, IADAT-tcn2005, IADAT-tcn2006 and UK URSI National Symposium 2007. I have also chaired many sessions at national and international conferences and published more than 50 research papers.

Current research activities

My research focuses on wideband wireless communication, channel characterisation and wideband wireless propagation experimental systems. I have worked for several years on the characterisation of communication transhorizon, line of sight, indoor, outdoor and through vegetation channels. My current research focuses on wireless sensor networks and mesh networks for applications in precision agriculture, environmental monitoring, behavioural economics, security, building control and energy management, etc.

Target collaborative organisations

Research and academic institutions and professional bodies (e.g. IEEE)

Fingerprint Dive into the research topics where David Ndzi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Wireless sensor networks Engineering & Materials Science
Rain Engineering & Materials Science
Mobile robots Engineering & Materials Science
Antennas Engineering & Materials Science
Agriculture Engineering & Materials Science
Knowledge based systems Engineering & Materials Science
Network protocols Engineering & Materials Science
Crops Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1999 2019

Rain prediction using fuzzy rule based system in North-West Malaysia

Mohd Safar, N. Z., Ramli, A. A., Mahdin, H., Ndzi, D. & Khalif, K. M. N. K., 3 Jun 2019, In : Indonesian Journal of Electrical Engineering and Computer Science. 14, 3, p. 1572-1581 10 p.

Research output: Contribution to journalArticle

Open Access
File
Knowledge based systems
Fuzzy rules
Rain
Fuzzy logic
Fuzzy inference

Speaker recognition using PCA-based feature transformation

Ahmed, A. I., Chiverton, J. P., Ndzi, D. L. & Becerra, V. M., 31 Jul 2019, In : Speech Communication. 110, p. 33-46 14 p.

Research output: Contribution to journalArticle

Speaker Recognition
performance
Recurrent neural networks
Filter banks
evaluation
1 Downloads (Pure)

The impact of spatial-temporal averaging on the dynamic-statistical properties of rain fields

Yang, G., Ndzi, D., Gremont, B., Paulson, K. & Filip, M., 29 Jul 2019, In : IEEE Transactions on Antennas and Propagation. 2019, AP1610-153.

Research output: Contribution to journalArticle

Open Access
File
Rain
Telecommunication networks
Satellites
Planning

Adjustment of tele-operator learning when provided with different levels of sensor support while driving mobile robots

Sanders, D., Ndzi, D., Chester, S. & Malik, M., 2018, Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Springer International Publishing AG, p. 548-558 (Lecture Notes in Networks and Systems).

Research output: Chapter in Book/Report/Conference proceedingChapter

Mobile robots
Sensors
Feedback

Integration of Fuzzy C-Means and artificial neural network for short-term localized rainfall forecast in tropical climate

Mohd-Safar, N. Z., Ndzi, D., Sanders, D., Mohamed Noor, H. & Kamarudin, L. M., 2018, Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Springer International Publishing AG, p. 499-516 (Lecture Notes in Networks and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

artificial neural network
rainfall
dew point
forecast
tropical climate