Abdirahman Osman Hashi

Mr. Abdirahman Osman Hashi is a dedicated lecturer in the Department of Computing at SIMAD University, Mogadishu, Somalia. He holds both bachelor’s and master’s degrees in computer science from SIMAD University and Universiti Teknologi Malaysia, respectively. His research focuses on artificial intelligence, deep learning, and software engineering, with several peer-reviewed publications in reputable journals. Mr. Hashi actively collaborates with international researchers and contributes to advancing technological solutions in various domains.

• Ph.D. Candidate – Istanbul Technical University, Turkey

• MSc in Computer Science – Universiti Teknologi Malaysia, Malaysia, [2018]

• BSc in Computer Science – SIMAD University, Somalia, [2015]
  
  

• Artificial Intelligence, Essential Mathematics, Deep Learning, Machine Learning, Computer Architecture, Programming Languages.
  
  

• Artificial Intelligence
• Essential Mathematics
• Deep Learning, Machine Learning
• Computer Architecture
• Programming Languages.
  
  

• Osman Hashi, S. Zaiton Mohd Hashim and A. Bte Asamah. (2024). A Systematic Review of Hand Gesture Recognition: An Update From 2018 to 2024, IEEE Access, vol. 12, pp. 143599-143626, https://doi.org/10.1109/ACCESS.2024.3421992
• Hashi, A. O., & others. (2024). Dynamic Adaptation in Deep Learning for Enhanced Hand Gesture Recognition. Engineering, Technology & Applied Science Research, 14(4), 15836–15841. https://doi.org/10.48084/etasr.7670
• Abdirahman, A. A., Hashi, A. O., Dahir, U. M., Elmi, M. A., & Rodriguez, O. E. R. (2023). Enhancing Vehicle Tracking through SMS: A Cost-Effective Approach Integrating GPS and GSM. SSRG International Journal of Electronics and Communication Engineering, 10(9).
• Abdirahman, A. A., Hashi, A. O., Elmi, M. A., Dahir, U. M., & Rodriguez, O. E. R. (2023). Exploring the Impact of Gamification on Self-Directed Learning: A Study in an Online Learning Environment. International Journal of Engineering Trends and Technology, 71(9), 129–137.
• Abdirahman, A. A., Hashi, A. O., Dahir, U. M., Elmi, M. A., & Rodriguez, O. E. R. (2023). Concealed Data Exchange via Temperature Manipulation in FPGA Systems. International Journal of Electrical and Electronics Engineering, 10(8), 127–136.
• Abdirahman, A. A., Hashi, A. O., Dahir, U. M., Elmi, M. A., & Rodriguez, O. E. R. (2023). Enhancing Facemask Detection Using Deep Learning Models. International Journal of Advanced Computer Science and Applications, 14(7).
• Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Rodriguez, O. E. R. (2023). Deep Learning Models for Crime Intention Detection Using Object Detection. International Journal of Advanced Computer Science and Applications, 14(4), 300–306.
• Hashi, A. O., & Romo Rodriguez, O. E. (2022). Automatic Directory Classification of Test Cases Based on Machine Learning Algorithms at an Android Smartphone Vendor. In Proceedings of the 32nd Conference of FRUCT Association.
• Hashi, A. O., Abdirahman, A. A., Elmi, M. A., Hashi, S. Z. M., & Rodriguez, O. E. R. (2021). A Real-Time Flood Detection System Based on Machine Learning Algorithms with Emphasis on Deep Learning. International Journal of Engineering Trends and Technology, 69(5), 249–256.
• Hashi, A. O., Rodriguez, O. E. R., Abdirahman, A. A., & Mohamed, M. M. (2021). Collecting Targeted Information About COVID-19 from Research Papers by Asking Questions Based on Natural Language Processing. International Journal of Engineering Trends and Technology, 69(5), 190–195.
• Hashi, A. O., Hussein, I. H., Rodriguez, O. E. R., Abdirahman, A. A., & Elmi, M. A. (2021). Ship Detection Approach Using Machine Learning Algorithms. In International Conference of Reliable Information and Communication Technology, pp. 16–25. Springer, Cham.
• Abdirahman, A. A., Jabar, M. A., Hashi, A. O., Elmi, M. A., & Rodriguez, O. E. R. (2021). Attitude Towards Intention to Use Mobile-Based Teaching Assessment Based on TAM and a Novel Extended TAM Model. In International Conference of Reliable Information and Communication Technology, pp. 583–593. Springer, Cham.
• Hashi, A. O., Hashim, S. Z. M., Anwar, T., & Ahmed, A. (2020). A Robust Hybrid Model Based on Kalman-SVM for Bus Arrival Time Prediction. In Emerging Trends in Intelligent Computing and Informatics, pp. 511–519. Springer.
• Hashi, A. O., Abdirahman, A. A., Elmi, M. A., & Hashim, S. Z. M. (2020). A Real-Time Flood Detection System Based on Machine Learning Algorithms. In International Conference of Reliable Information and Communication Technology, pp. 364–373. Springer, Cham.
• Hameed, S. S., Petinrina, O. O., Hashi, A. O., & Saeed, F. (2018). Filter-wrapper combination and embedded feature selection for gene expression data. International Journal of Advances in Soft Computing & Its Applications, 10(1).
• Abdullahi, A. A., Jabar, M. A., & Hashi, A. O. (2017). Attitude towards intention to use mobile-based teaching assessment in relation to technology acceptance model. International Journal of Advances in Electronics and Computer Science, 5(2), 35–40.
• Hashi, A. O., & Hashi, S. Z. M. (2018). Recent trends in data mining techniques for educational datasets: A review. International Journal of Computer Applications, 181(23), 6–10. https://doi.org/10.5120/ijca2018918225
• Hashi, A. O., & Rodriguez, O. E. R. (2022). Dynamic detection of phishing websites using deep learning. Journal of Applied Computing and Informatics. https://doi.org/10.1016/j.jaci.2022.09.004
• Hashi, A. O., & Rodriguez, O. E. R. (2022). Enhanced phishing detection using ensemble learning algorithms. Malaysian Journal of Computer Science, 35(4), 324–339. https://doi.org/10.22452/mjcs.vol35no4.3
• Hashi, A. O., Elmi, M. A., Dahir, U. M., & Rodriguez, O. E. R. (2022). Enhancing fake news detection with deep learning models. Malaysian Journal of Computer Science, 35(3), 264–276. https://doi.org/10.22452/mjcs.vol35no3.5
• Hashi, A. O., & Elmi, M. A. (2022). Real-time offensive content detection on social media using deep learning. Engineering, Technology & Applied Science Research, 12(6), 9976–9981. https://doi.org/10.48084/etasr.5406
• Hashi, A. O., Rodriguez, O. E. R., & Elmi, M. A. (2022). Real-time cyberbullying detection using ensemble machine learning techniques. Engineering, Technology & Applied Science Research, 12(6), 9982–9987. https://doi.org/10.48084/etasr.5407
• Hashi, A. O., & Rodriguez, O. E. R. (2022). Detecting sarcasm in social media using deep learning models. Engineering, Technology & Applied Science Research, 12(6), 9988–9993. https://doi.org/10.48084/etasr.5408
• Hashi, A. O., & Elmi, M. A. (2023). Improving real-time sign language recognition using deep learning. Engineering, Technology & Applied Science Research, 13(3), 10927–10932. https://doi.org/10.48084/etasr.6215
• Hashi, A. O., & Rodriguez, O. E. R. (2023). Enhancing sentiment analysis on tweets using BERT-based deep learning models. Engineering, Technology & Applied Science Research, 13(4), 11245–11250. https://doi.org/10.48084/etasr.6756

Project Title: A Real-Time Flood Detection System Based on Machine Learning Algorithms

• Funding Source: SIMAD University Research Grant
• Role in the Project: Fund Leader
• Timeline: 2019-2022
• Summary: Led a research project aimed at developing a real-time flood detection model using advanced machine learning algorithms. The system was designed for early warning and response, particularly in flood-prone urban areas, integrating real-time data collection and predictive modeling.

Project Title: Crime Intention Detection Using Object Detection and Deep Learning

• Funding Source: Istanbul Technical University Research Grant
• Role in the Project: Fund Leader
• Timeline: 2022-2023
• Summary: This project focused on the development of an intelligent surveillance framework capable of detecting potential criminal activities using deep learning and computer vision. The model aimed to enhance urban security and proactive crime prevention through intelligent image and behavior analysis.

Project Title: Advancing Hand Gesture Recognition using Adaptive Deep Learning

• Funding Source: Universiti Teknologi Malaysia (UTM) Research Grant
• Role in the Project: Fund Leader
• Timeline: 2023–2025
• Summary: Led a comprehensive study and improvement of hand gesture recognition systems, integrating deep learning advancements and adaptive models. The research aimed to support the development of more accurate and real-time human-computer interaction tools in healthcare and assistive technologies.