Staff Directory
Academic Qualification
- Doctor of Philosopy in Information Science and Technology - Doctor of Philosophy, The University of Tokyo
- Master in Engineering - Masters Degree, Nagaoka University of Technology
- Bachelor of Engineering - Bachelor Degree, Nagaoka University of Technology
Takumi Sase (Dr.)
Assistant Professor
IIUM Gombak Campus
KULLIYYAH OF INFORMATION AND COMMUNICATION TECHNOLOGY
takumi@iium.edu.my
6415
Area of Specialisation
- Engineering Tech ~ Engineering And Technology ~ Electrical and Electronic Engineering ~ Signal Processing
- Natural Science ~ Physical Sciences ~ Theoretical and Computational Physics ~ Fractals
- Natural Science ~ Mathematical Sciences ~ Applied Statistics ~ Time Series and Spatial Analysis
- ICT ~ Information, Computer And Communications Technology (ICT) ~ Computation Theory and Mathematics ~ Simulation and Modeling
- Natural Science ~ Mathematical Sciences ~ Applied Mathematics ~ Dynamical Systems
Teaching Responsibilities
CRYPTOGRAPHY | 2023/2024 2022/2023 |
ELEMENTS OF PROGRAMMING | 2023/2024 2022/2023 2021/2022 2020/2021 |
FINAL YEAR PROJECT I | 2021/2022 |
MATHEMATICS FOR COMPUTING I | 2023/2024 2022/2023 2021/2022 2020/2021 |
OBJECT ORIENTED PROGRAMMING | 2023/2024 |
Supervision
Spiritual Intelligence Digital Model.
Ph.D
In Progress
Co-supervisor
|
Research Projects
Completed
2020 - 2023 | Car Drivers' Mental Fatigue Neuro-physiological Profiling Model |
On-Going
2018 - Present | Formal Models and Algorithms for Modelling Human Brain Dynamics based on DNA Computing Hybrid Methods |
Publications
Article
2023 | Mental state detection from tweets by machine learning. International Journal on Perceptive and Cognitive Computing (IJPCC), 9 (2) pp. 1-7 |
2019 | Brain and artificial intelligence: from the viewpoint of spontaneous and task-evoked brain dynamics. Journal of Computational and Theoretical Nanoscience, 16 (3) pp. 1081-1092 |
Conference or Workshop Item
2023 | Mental state detection from tweets by machine learning. In: International Conference on Information & Communication Technology for the Muslim World (ICT4M) 2023, |
2022 | Prediction of ADHD from a small dataset using an adaptive EEG theta/beta ratio and PCA feature extraction. In: Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), |
2022 | Prediction of ADHD from a small dataset using an adaptive EEG Theta/Beta Ratio and PCA feature extraction. In: Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM), |