Dr. Mohamedi Mjahidi
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Researcher

Dr. Mohamedi Mjahidi

The University of Dodoma (UDOM)

3 machapisho

Wasifu

Mohamedi M. Mjahidi is a seasoned academic, researcher, and innovator in the field of Artificial Intelligence (AI), currently serving as a Lecturer in the Department of Computer Science and Engineering (DoCSE) at the College of Informatics and Virtual Education (CIVE), The University of Dodoma (UDOM), Tanzania. He holds a Ph.D. in Computer Engineering from Gazi University, Ankara, Turkey (2020), an M.Sc. in Telecommunications Engineering from the University of Dodoma (2011), and a B.Sc. in Computer Science from the University of Dar es Salaam (2006). Mjahidi’s research focuses on Artificial Intelligence, Machine Learning, and their applications in computer and mobile networking, cybersecurity, and social good.

He has published extensively in peer-reviewed journals and international conference proceedings, with notable work addressing the use of machine learning for malware-based phishing detection, intelligent systems, and data-driven solutions for local development challenges. Mjahidi has also served in various academic leadership roles, including as Head of the Department of Computer Applications and Technologies (DoCAT), and is an active mentor of early-career researchers. His recent co-authored book, Practical Machine Learning: A Beginner’s Guide with Ethical Insights , reflects his commitment to advancing foundational AI knowledge while embedding ethical principles and local relevance.

He is a member of multiple academic and professional networks and regularly contributes to national and regional dialogues on digital transformation, AI policy, and research development. His current work aims to harness AI to address pressing societal challenges, such as health system strengthening, agriculture, education, and digital inclusion in low-resource settings.

Machapisho

  1. 2025

    Practical Machine Learning: A Beginner's Guide with Ethical Insights

    Ally S. Nyamawe, Mohamedi M. Mjahidi, Noe E. Nnko, Salim A. Diwani, Godbless G. Minja, Kulwa Malyango · Taylor & Francis

  2. 2024

    From Bias to Balance: Navigating Gender Inclusion in AI

    Gloriana J. Monko, Mohamedi M. Mjahidi · IntechOpen

  3. 2023

    Exploring the status of artificial intelligence for healthcare research in Africa: a bibliometric and thematic analysis

    Tabu S. Kondo, Salim A. Diwani, Ally S. Nyamawe & Mohamed M. Mjahidi · SPRINGER NATURE Link/AI and Ethics