Staff Directory


Zainab Senan Mahmod Attar Bashi

Academic Qualification

  • Doctor of Philosophy (Engineering) - Doctor of Philosophy, International Islamic University Malaysia
  • Master of Science (Computer and Information) - Masters Degree, International Islamic University Malaysia
  • Bachelor of Engineering (Electronics-Computer and Information) (Honors) - Bachelor Degree, International Islamic University Malaysia

Zainab Senan Mahmod Attar Bashi (Dr.)

Assistant Professor
IIUM Gombak Campus

KULLIYYAH OF INFORMATION AND COMMUNICATION TECHNOLOGY


zainab_senan@iium.edu.my
5625


Area of Specialisation


  • Engineering Tech ~ Engineering And Technology ~ Computer Engineering ~ Other Computer Engineering n.e.c.


Teaching Responsibilities


COMPUTER NETWORKING 2021/2022
ENTERPRISE NETWORK 2022/2023 2021/2022
FINAL YEAR PROJECT I 2021/2022
FINAL YEAR PROJECT II 2022/2023
NETWORKING CONCEPTS AND PRACTICES 2022/2023 2021/2022
OPERATING SYSTEMS 2022/2023 2021/2022


Publications


Article

2022 Traffic management for emergency vehicles. International Journal of Undergraduate Research (IJUR), 3 (1) pp. 23-28
2021 Teaching lab-based courses remotely: approaches, technologies, challenges, and ethical issues. IIUM Journal of Educational Studies, 9 (3 Special Issue) pp. 37-51
Conference or Workshop Item

2022 A real-time Brain-Computer Interface (BCI) framework for sleep state stimulation using a deep-learning technique: proposal. In: 5th International Conference on Engineering Professional Ethics and Education (ICEPEE'22),
2022 Digital hacking and cyber-attacks: cyber security from Islamic perspective. In: 5th International Conference on Engineering Professional Ethics and Education (ICEPEE’22),
2022 Results acceptability of E-Voting system using blockchain technology. In: Seminar on Information Retrieval and Knowledge Management 2022 (SIRKM'22),
2022 Web security awareness of it graduate students: case study. In: Seminar on Information Retrieval and Knowledge Management 2022 (SIRKM'22),
Book Section

2022 An intelligent flood alert system using LoRa on basis of internet of things. In: Springer Nature Switzerland AG 2022, ISBN: 978-3-030-97254-7, pp. 3-15