Ubaid Mohamed Dahir

Ubaid Mohamed Dahir is a dedicated academic and researcher with a Bachelor of Science in Computer Science and a Master of Science in Data Science. His scholarly interests center on Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), and Deep Learning, with particular emphasis on addressing complex challenges in low-resource and underrepresented settings. His research portfolio includes work on Somali language technologies, intelligent healthcare systems, and AI-enhanced educational tools. Mr. Dahir is committed to advancing data-driven innovation that promotes social impact, equity, and sustainable development. Through his contributions, he supports the digital transformation of critical sectors in the Horn of Africa and continues to influence the broader discourse on technology and inclusive progress

• MSc in Data Science – University Science Malaysia, [2023]
• BSc in Computer Science – SIMAD University, Somalia, [2016]

• Artificial Intelligence, Machine Learning, NLP, Deep Learning

• Algorithms and Data Structures,
• Artificial Intelligence
• Machine learning
• Data science
• Big data
• Data visualization
• Computer Graphics,
• Databases (SQL,MySQL,Oracle),
• Programming languages (C,C++,Python, JAVA..)
• Theory of computation,
• Compiler design and construction
• Research Methodology

• Best paper awards

• • CEST Conference 2017

• Dahir, U. M., & Alkindy, F. K. (2023). Utilizing machine learning for sentiment analysis of IMDB movie review data. International Journal of Engineering Trends and Technology, 71(5), 18–26. https://doi.org/10.14445/22315381/IJETT-V71I5P203
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2023). Comparative analysis of machine learning and deep learning models for sentiment analysis in Somali language. SSRG International Journal of Electrical and Electronics Engineering, 10(7), 41–52. https://doi.org/10.14445/23488379/IJEEE-V10I7P104
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Hashim, S. Z. M. (2024). Fake news detection using recurrent neural network in Somali language. International Journal of Engineering Trends and Technology, 72(9), 419–427. https://doi.org/10.14445/22315381/IJETT-V72I9P139
• Elmi, M. A., Hashi, A. O., Dahir, U. M., Abdirahman, A. A., & Rodriguez, O. E. R. (2024). Electronics in healthcare: Adaptation and challenges of digital records in Somali hospitals. SSRG International Journal of Electronics and Communication Engineering, 11(9), 1–10. https://doi.org/10.14445/23488549/IJECE-V11I9P101
• Dahir, U. M., & Elmi, M. A. (2024). Using IoT and machine learning for enhanced home energy management in Somalia. International Journal of Engineering Trends and Technology, 72(6), 123–130. https://doi.org/10.14445/22315381/IJETT-V72I6P215
• Dahir, U. M., Elmi, M. A., & Rodriguez, O. E. R. (2023). Enhancing vehicle tracking through SMS: A cost-effective approach integrating GPS and GSM. International Journal of Computer Applications, 182(23), 15–21. https://doi.org/10.5120/ijca2023923456
• Abdirahman, A. A., Hashi, A. O., Dahir, U. M., Elmi, M. A., & Rodriguez, O. E. R. (2023). Enhancing natural language processing in Somali text classification: A comprehensive framework for stop word removal. International Journal of Engineering Trends and Technology, 71(12), 40–49. https://doi.org/10.14445/22315381/IJETT-V71I12P205
• Abdirahman, A. A., Hashi, A. O., Dahir, U. M., Elmi, M. A., & Rodriguez, O. E. R. (2024). Enhancing security in mobile wallet payments: Machine learning-based fraud detection across prominent wallet platforms. SSRG International Journal of Electronics and Communication Engineering, 11(3), 96–105. https://doi.org/10.14445/23488549/IJECE-V11I3P110
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2024). Machine learning-based anomaly detection model for cybersecurity threat detection. Ingénierie des Systèmes d’Information, 29(6), 45–54. https://doi.org/10.18280/isi.290606
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2024). Enhanced reliability and stability of FPGA-based PUF-IDG-IoT. Ingénierie des Systèmes d’Information, 29(5), 37–44. https://doi.org/10.18280/isi.290505
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2024). Transforming educational outcomes with IoT: Opportunities and challenges in Somalia. International Journal of Electrical and Electronics Engineering, 11(8), 89–97. https://doi.org/10.14445/23488379/IJEEE-V11I8P110
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2024). Integration of IoT for smart energy management: Advancing home automation and power efficiency. International Journal of Electrical and Electronics Engineering, 11(7), 78–85. https://doi.org/10.14445/23488379/IJEEE-V11I7P109
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2024). Smart power management in OIC countries: A critical overview using SWOT-AHP and hybrid MCDM analysis. International Journal of Electrical and Electronics Engineering, 11(5), 65–72. https://doi.org/10.14445/23488379/IJEEE-V11I5P107
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2024). A multi-objective home energy management system based on internet of things and optimization algorithms. International Journal of Electrical and Electronics Engineering, 11(4), 54–62. https://doi.org/10.14445/23488379/IJEEE-V11I4P106
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2024). Intelligent home energy management using internet of things platform based on NILM technique. International Journal of Electrical and Electronics Engineering, 11(2), 43–50. https://doi.org/10.14445/23488379/IJEEE-V11I2P104
• Dahir, U. M., Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2024). Smart home energy management system based on the internet of things (IoT). International Journal of Electrical and Electronics Engineering, 11(1), 32–40. https://doi.org/10.14445/23488379/IJEEE-V11I1P103

• Attendance face recognition with schools and colleges
• Machine Learning Techniques for Predicting Product Demand in Retail Businesses
• Ai for somalia sign language recognition
• Predictive modeling of mortality patterns in Somalia using generalized linear models
• Design and Implementation of a Personalized Learning Pathway Recommendation System
• Detecting fraud in financial transactions using machine learning models.