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SHAMTE JUMA KAWAMBWA
Biography
Dr. Shamte Juma Kawambwa is a Lecturer at the College of Information and Communication Technologies (CoICT), University of Dar es Salaam (UDSM). He holds a PhD in Computer and IT System Engineering, an MSc in Electronics Engineering and IT, and a BSc in Electronics Science and Communication, all from the University of Dar es Salaam.
Since joining UDSM, Dr. Kawambwa has served in various academic and administrative roles, including Final Year Project Coordinator in the Department of Electronics and Telecommunications Engineering. In this capacity, he oversees undergraduate project design, seminars, evaluation tools, and laboratory sessions. He currently serves as the Undergraduate Coordinator at the Department of Electronics and Telecommunications Engineering, where he oversees all undergraduate academic activities for the department.
As a lecturer, he teaches undergraduate and postgraduate courses, including Hardware Interfacing Techniques, PC Interfacing Techniques, Solid State Electronics, Industrial Electronics, and Embedded Systems Engineering. His teaching emphasizes practical experimentation, innovation, and problem-driven approaches to electronics and ICT applications.
Research Interest
- Embedded Systems and Industrial Electronics
- Smart Grids and iGrid Technologies
- Internet Laboratories (iLabs) and Remote Laboratories
- Multi-agent reinforcement learning and metaheuristic algorithms
- Electrical Capacitance Tomography (ECT) Applications and Image Processing
Contacts
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Projects
Dr. Kawambwa has been actively engaged in several strategic research and educational projects at the University of Dar es Salaam. Since 2016, he has been involved in the iGrid Research Project, where his work focuses on advancing smart grid technologies and developing ICT-driven solutions for sustainable energy management. This initiative has positioned him at the forefront of applying modern information systems to address the challenges of energy distribution and reliability in Tanzania.
Since 2012 he has been playing a significant role in the Internet Laboratory (ILAB) Project, which contributed to the establishment and expansion of internet-based laboratory platforms for remote experimentation. Through this project, he promoted the integration of digital tools into engineering education, thereby enabling students and researchers to access laboratory resources remotely and enhance their practical learning experiences.
In addition to these research endeavors, since 2017 Dr. Kawambwa has been an active team member in Challenge-Driven Education (CDE) Initiatives at CoICT. His involvement centers on embedding innovative teaching methodologies that encourage students to engage in real-world problem solving, critical thinking, and interdisciplinary collaboration. These efforts reflect his commitment to modernizing higher education and ensuring that students graduate with both theoretical knowledge and practical skills.
Publications
Dr. Kawambwa’s research output reflects his commitment to advancing knowledge in smart grids, embedded systems, and ICT applications in power and communication networks. His scholarly works explore innovative solutions in energy distribution, electric vehicle integration, IoT-based monitoring, and optimization algorithms. Some selected publication include the following
[1] S. J. Kawambwa, et al., “Effects and optimal integration of electric vehicle charging systems in the Tanzania electrical distribution networks using metaheuristic algorithms,” Journal of ICT Systems, Univ. of Dar es Salaam, Apr. 2025.
[2] S. J. Kawambwa, et al., “Revenue loss reduction in the electrical distribution networks using distributed generators: A case of Tanzania electrical distribution network,” Research Article, Dec. 2024.
[3] S. J. Kawambwa, et al., “Deployment of an IoT-based sensor node for fault detection and classification in electrical secondary distribution networks,” Cogent Engineering, Sep. 2024.
[4] S. J. Kawambwa, et al., “Sensor placement algorithm for faults detection in electrical secondary distribution network using dynamic programming method: Focusing on dynamic change and expansion of the network configurations,” J. Electr. Syst. Inf. Technol., vol. 11, no. 1, Feb. 2024.
[5] S. J. Kawambwa, et al., “A cloud-based model symbiotic organism search algorithm for placement of distributed energy resources in the electrical secondary distribution networks,” Tanzania J. Sci., vol. 49, no. 1, Mar. 2023
More publications can found in
https://scholar.google.com/citations?hl=en&user=x1Az7NMAAAAJ&view_op=list_works&sortby=pubdate