Staff Directory


Takumi Sase

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 2024/2025 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),