Godfrey Luwemba is a Lecturer and Head of the Department of Computer Systems and Mathematics at Ardhi University, where he oversees teaching, research, and curriculum development in computing and engineering. He holds a Bachelor of Science, Master of Science, and PhD in Telecommunications Engineering from the University of Dar es Salaam. He is a Registered Professional Engineer with the Engineers Registration Board (ERB) and a Registered ICT Professional with the ICT Commission (ICTC).
His teaching areas include Internet of Things, digital electronics, routing and switching, smart systems, industrial automation, data science and artificial intelligence, with an emphasis on combining theoretical foundations with practical, industry-oriented skills. He leads several international research projects, including the Applied Human Machine Intelligence in East Africa (AHUMAIN) under Erasmus+, Subproject 7 on Smart, Sustainable, and Inclusive Cities, and the Digital Innovation for Development (DI4D) project under the VLIR-UOS framework.
His research interests focus on IoT applications, power line and wireless communications, industrial automation, digital innovation for development, data science, and artificial intelligence, with an emphasis on applying these technologies to address practical challenges in African contexts, including smart infrastructure, sustainable urban systems, and data-driven decision-making.
Godfrey Luwemba is a Lecturer and Head of the Department of Computer Systems and Mathematics at Ardhi University, where he oversees teaching, research, and curriculum development in computing and engineering. He holds a Bachelor of Science, Master of Science, and PhD in Telecommunications Engineering from the University of Dar es Salaam. He is a Registered Professional Engineer with the Engineers Registration Board (ERB) and a Registered ICT Professional with the ICT Commission (ICTC).
His teaching areas include Internet of Things, digital electronics, routing and switching, smart systems, industrial automation, data science and artificial intelligence, with an emphasis on combining theoretical foundations with practical, industry-oriented skills. He leads several international research projects, including the Applied Human Machine Intelligence in East Africa (AHUMAIN) under Erasmus+, Subproject 7 on Smart, Sustainable, and Inclusive Cities, and the Digital Innovation for Development (DI4D) project under the VLIR-UOS framework.
His research interests focus on IoT applications, power line and wireless communications, industrial automation, digital innovation for development, data science, and artificial intelligence, with an emphasis on applying these technologies to address practical challenges in African contexts, including smart infrastructure, sustainable urban systems, and data-driven decision-making.