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As an educator, I aim to demonstrate and inspire learning. As a computer scientist educating young boys and girls in an age where Moore’s Law is a fact of life, I believe it is imperative to focus on the principles of information technology. Hence, since what we teach today could be obsolete tomorrow, students need to be well-versed in the basics and principles of our field. In other words, I aim to educate the next generation of IT enthusiasts to think like computer scientists.
I consider any computer courses as a practical field. Based on my experience and student feedback, I believe that students should have the skills to build and code at least a small-scale software or app in order for them to see the software aspect in its totality. Owning a project like that encourages putting to bear theories for critical thinking and problem-solving. Learning through doing has higher chances of retention.
Komar University of Science and Technology: 2014-2018
Speech processing, Emotion Recognition, Machine Learning, Neural Networks
Software Engineering
Web Programming
Programming Fundamentals
Advanced Programming
Programming I
Programming II
Introduction to Machine Learning
Software Engineering
Programming I
Programming II
❏ Wahab, Abdurrahman, and Hemin Ibrahim. "High School Scores to College Performance: Exploring the Predictive Validity of Grade 12 Standardized Test Scores for University GPA." International Journal of Social Sciences & Educational Studies 11.4 (2024): 120-138.
❏ Ibrahim, H. F., Loo, C. K., Geda, S. Y., & Al-Talabani, A. K. (2024). Optimizing emotional insight through unimodal and multimodal long short-term memory models. ARO - The Scientific Journal of Koya University, 12(1), 154–160. Retrieved from https://doi.org/10.14500/aro.11477
❏ H. Ibrahim, C. K. Loo and F. Alnajjar, "Speech Emotion Recognition by Late Fusion for Bidirectional Reservoir Computing with Random Projection," in IEEE Access, vol. 9, pp. 122855-122871, 2021, doi: 10.1109/ACCESS.2021.3107858.
❏ Ibrahim, H., Loo, C.K. & Alnajjar, F. Bidirectional parallel echo state network for speech emotion recognition. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07410-2.
❏ Ibrahim, H., & Chu Kiong Loo. (2022). RESERVOIR COMPUTING WITH TRUNCATED NORMAL DISTRIBUTION FOR SPEECH EMOTION RECOGNITION. Malaysian Journal of Computer Science, 35(2), 128–141. Retrieved from https://ejournal.um.edu.my/index.php/MJCS/article/view/34676
❏ Ibrahim, H., Al-Talabani, A. K., & Loo, C. K. (2024). Utilizing Support Vector Machine to Help with Social Robot Therapy for Autism Spectrum Disorder. In 21st International Multi-Conference on Systems, Signals & Devices (SSD) (pp. 562-567). Erbil, Iraq: IEEE. doi:10.1109/SSD61670.2024.10548243.
❏ Ibrahim, H., Loo, C. K., & Alnajjar, F. (2021, December). Grouped Echo State Network with Late Fusion for Speech Emotion Recognition. In International Conference on Neural Information Processing (pp. 431-442). Springer, Cham.