Dr. Kefa Gideon Mkongwa - a seasoned researcher and engineer with deep expertise in Information and Communication Technologies (ICT), particularly in Wireless Body Area Networks (WBANs), the Internet of Medical Things (IoMT), Computer Vision, and Cybersecurity.
He holds a Ph.D. in Information and Communication Engineering from Harbin Engineering University and a Master’s degree in Signal and Information Processing from Tianjin University of Technology and Education. His doctoral research focused on optimizing IEEE wireless protocols—such as WiFi, ZigBee, Bluetooth, IEEE 802.15.6, and SmartBAN—for body-centric communications in healthcare applications. His work involved the design and testing of wireless sensor networks, MAC-layer optimization, wearable technology Modeling, and user safety analysis concerning electromagnetic radiation exposure.
Dr. Mkongwa’s earlier research and work experience in the field of machine vision led to the development of a real-time, machine vision-based inspection system for industrial automation during his master's studies.
He is currently a Lecturer at the College of Information and Communication Technologies at the University of Dar es Salaam, where he is engaged in teaching, research, and consultancy. Dr. Mkongwa is a published author in areas including ad hoc networks, IEEE wireless protocol optimization, sensor network reliability, MAC/PHY layer optimization in WBANs, computer vision, and AI applications. He is passionate about research, mentorship, and the advancement of ICT solutions with real-world impact. He also serves on the Editorial Board of the Eastern Africa Journal of Official Statistics (EAJOS) and acts as a peer reviewer for renowned publishers, including IEEE Transactions, Springer, and Elsevier. Additionally, Dr. Mkongwa has experience chairing international conferences.
Beyond academia, Dr. Mkongwa is also a cyber security specialist, with practical experience in penetration testing, cyber crime investigation, digital forensics, and cyber reconnaissance. His research interests reflect a forward-looking focus on modern information and communication technologies, including human-machine interaction and 5G and beyond.
Email:
1. Mkongwa,K. G, Kitindi,E, Munochiveyi,M, Lema, A., Wireless internet of medical things: Technology and architectural design-Mining Biomed-ical Text, Images and Visual Features for Information Retrieval, 2025. https://doi.org/10.1016/B978-0-443-15452-2.00002-9
2. Mkongwa, K. G., Zhang, C. & Liu, Q. A Reliable Data Transmission Mechanism in Coexisting IEEE 802.15.4-Beacon Enabled Wireless Body Area Networks. Wireless Personal Communications, 2022
https:/doi.org/10.1007/s11277-022-09987-2.
3. Mkongwa, K. G., Liu, Q. & Wang, S. An adaptive backoff and dynamic clear channel assessment mechanisms in IEEE 802.15.4 MAC for wireless body area networks. Ad Hoc Networks 120, 102554 (2021).
4. Mkongwa, K. G., Liu, Q. & Zhang, C. Link Reliability and Performance Optimization In Wireless Body Area Networks. IEEE Access (2019) doi:10.1109/access.2019.2944573.
5. Mkongwa, K. G., Liu, Q. & Zhang, C. Design of the Tri-band UWB Microstrip Patch Antenna for WBAN Applications. Appl. Comput. Electromagn. Soc. J. (2019).
6. Mkongwa, K. G., Liu, Q., Zhang, C. & Siddiqui, F. A. Reliability and Quality of Service Issues in Wireless Body Area Networks: A Survey. Int. J. Signal Process. Syst. (2019) doi:10.18178/ijsps.7.1.26-31.
7. Mkongwa, K. G. et al. Reliable Data Transmission Mechanism in Coexisting IEEE 802.15.4 Beacon Enabled Wireless Body Area Networks. in 2021 10th International Conference on Information and Automation for Sustain ability (ICIAfS) 483–488 (2021). doi:10.1109/ICIAfS52090.2021.9605877.
8. Liu, Q., Mkongwa, K. G. & Zhang, C. Performance issues in wireless body area networks for the healthcare application: a survey and future prospects. SN Appl. Sci. (2021) doi:10.1007/s42452-020-04058-2.
9. Liu, Q., Mkongwa, K. G., Zhang, C. & Wang, S. A simple cross-layer mechanism for congestion control and performance enhancement in a localized multiple wireless body area networks. J. Ambient Intell. Humaniz. Comput. (2021) doi:10.1007/s12652-020-02802-5.