Curriculum Vitae

DR. NUR NASUHA BINTI MOHD DAUD

Senior Lecturer
  • Department of Software Engineering
    Faculty of Computer Science and Information Technology
  • 03-76972503

BIOGRAPHY

Dr. Nur Nasuha Binti Mohd Daud is a Senior Lecturer in Software Engineering at the Faculty of Computer Science and Information Technology, University of Malaya. She is a highly self-driven individual who recently obtained a Doctoral Degree in Software Engineering Tools and Methods from the University of Malaya in 2022. Her areas of research include knowledge graphs, knowledge representation, link prediction, large-scale processing, the Spark framework, Azure cloud deployment, social networks, and autonomous computing. Dr. Nasuha is also a member of the Malaysian Special Interest Group in Software Resilience, Quality, and Automation. She is dedicated to advancing her research, teaching, and learning and is always seeking new opportunities to improve and expand her skills.

AREAS OF EXPERTISE

  • EFFICIENT RESOURCE MANAGEMENT
    Cloud
  • DISTRIBUTED ENVIRONMENT
  • LARGE SCALE PROCESSING
  • AUTONOMOUS COMPUTING
  • SOCIAL NETWORK ANALYSIS
    Link Prediction

ACADEMIC QUALIFICATION

  • PhD
    Universiti Malaya
  • BACHELOR OF COMPUTER SCIENCE (SOFTWARE ENGINEERING), PASS WITH HONOURS (WITH DISTINCTION), (Kejuruteraan Perisian)
    Universiti Malaya (UM)

MEMBERSHIPS

  • ACM PROFESSIONAL MEMBERSHIPS, MEMBER
    2023 to 2024 (International)

PUBLICATIONS

Article in Journal
WoS
  1. Daud, Nur Nasuha; Ab Hamid, Siti Hafizah; Saadoon, Muntadher; Seri, Chempaka; Hasan, Zati Hakim Azizul; Anuar, Nor Badrul (2022). Self-Configured Framework for scalable link prediction in twitter: Towards autonomous spark framework, KNOWLEDGE-BASED SYSTEMS. 255. doi:10.1016/j.knosys.2022.109713
  2. Saadoon, Muntadher; Ab Hamid, Siti Hafizah; Sofian, Hazrina; Altarturi, Hamza H. M.; Azizul, Zati Hakim; Nasuha, Nur (2022). Fault tolerance in big data storage and processing systems: A review on challenges and solutions, AIN SHAMS ENGINEERING JOURNAL. 13(2). doi:10.1016/j.asej.2021.06.024
  3. Saadoon, M., Ab Hamid, S. H., Sofian, H., Altarturi, H., Nasuha, N., Azizul, Z. H., . . . Asemi, A. (2021). Experimental Analysis in Hadoop MapReduce: A Closer Look at Fault Detection and Recovery Techniques. Sensors, 21(11), 18. doi: 10.3390/s21113799
  4. Daud, N. N., Hamid, S. H. A., Saadoon, M., Sahran, F., & Anuar, N. B. (2020). Applications of link prediction in social networks: A review. Journal of Network and Computer Applications, 166, 18. doi: 10.1016/j.jnca.2020.102716

PAPER PRESENTED

INVITED SPEAKER
  1. Scalable link prediction in Twitter using self-configured framework, 8th International Conference on Advances in Computer Science and Information Technology, ACSTY 2022 (International) (22 Jan 2022 - 23 Jan 2022)

ACADEMIC/PROF. SERVICES

Evaluation
  1. (2023) Peer Reviewing An Article, International, (Reviewer)
  2. (2023) Peer Reviewing a Journal, International, (Reviewer)

SUPERVISION

Postgraduate Student
  1. (2023) THE IMPACT OF TECHNOLOGY-ENHANCED SPORT EDUCATION ON ACADEMIC MOTIVATION IN PHYSICAL EDUCATION, ZHOU TONG
  2. (2023) AUTOMATED MUTATION TESTING, WONG SHI WEI
  3. (2023) EFFECTIVE APPROACHES TO PROMOTING TEACHER LEADERSHIP IN EFFECTIVE TEACHING AND LEARNING, WEI YANTONG
  4. (2023) Decentralized Failure Recovery Model in Software Defined Data Center Networks, SUHEIB ABDEL KARIM M. AL HIYARI
  5. (2023) DEMAND FORECASTING TECHNIQUES USING FIVE SELECTED AI ALGORITHMS AND GRAPH DATABASE UNDER SCOR MODE, LIM, TEIK HAN