Curriculum Vitae

DR. NUR NASUHA BINTI MOHD DAUD

Senior Lecturer
  • Department of Software Engineering
    Faculty of Computer Science and Information Technology
  • nasuha
  • 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 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. Ismail, Ahmad Muhaimin; AB Hamid, Siti Hafizah; Sani, Asmiza Abdul; Daud, Nur Nasuha Mohd (2024). Toward Reduction in False Positives Just-In-Time Software Defect Prediction Using Deep Reinforcement Learning, IEEE ACCESS. 12, 47568-47580. doi:10.1109/ACCESS.2024.3382991
  2. Ismail, Ahmad Muhaimin; Ab Hamid, Siti Hafizah; Sani, Asmiza Abdul; Daud, Nur Nasuha Mohd (2024). KCO: Balancing class distribution in just-in-time software defect prediction using kernel crossover oversampling, PLOS ONE. 19(4). doi:10.1371/journal.pone.0299585
  3. 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
  4. 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
  5. 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
  6. 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

RESEARCH PROJECT

National
  1. 2023 - 2025, Bantuan Khas Penyelidikan (BKP Special)
    Linkminds: Predicting Links Between Crises And Mental Well-being ( Principal Investigator(PI))
Private
  1. 2024 - 2025, Private Funding
    Reliable Affective Software: Overcoming Panic And Worry In English Learning Environments ( Co-Researcher)
  2. 2024 - 2025, Private Funding
    Website Development For Vision One Sdn. Bhd. ( Co-Researcher)
University
  1. 2023 - 2025, University Grant - Managed by SWRC
    Malaysia Ageing And Retirement Survey (mars) Survey System Development ( Co-Researcher)

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. (2024) ENHANCING SOFTWARE TESTING EFFICIENCY AND EFFECTIVENESS THROUGH QUANTUM COMPUTING, NASIB ULLAH
  2. (2024) THE IMPACT OF TECHNOLOGY-ENHANCED SPORT EDUCATION ON ACADEMIC MOTIVATION IN PHYSICAL EDUCATION, ZHOU TONG
  3. (2024) EFFECTIVE APPROACHES TO PROMOTING TEACHER LEADERSHIP IN EFFECTIVE TEACHING AND LEARNING, WEI YANTONG
  4. (2024) SELF TAGGING MODEL OF METADATA ABSTRACTION FOR MUSIC REPOSITORY, RAZAILIN BINTI ABDUL RASHID
  5. (2024) Decentralized Failure Recovery Model in Software Defined Data Center Networks, SUHEIB ABDEL KARIM M. AL HIYARI
  6. (2023) AUTOMATED MUTATION TESTING, WONG SHI WEI
  7. (2024) LINKMINDS: PREDICTING LINKS BETWEEN CRISES AND MENTAL WELL-BEING, MOHAMED ABDELNASSER MOHAMED ELSAYED HASSAN
  8. (2024) Performance Monitoring Framework for Big Data Processing, YUHAO SHEN
  9. (2024) LLM-based Chatbots for Mental Health Support Especially in Major Depression Order, YUWEI GUO
  10. (2024) Enhancing Health Care Knowledge Graphs: Advanced Link Prediction Algorithms, MA LI
  11. (2024) DEMAND FORECASTING TECHNIQUES USING FIVE SELECTED AI ALGORITHMS AND GRAPH DATABASE UNDER SCOR MODE, LIM, TEIK HAN
  12. (2024) Large Scale Processing Model for Energy Monitoring Systems, EZLAN ZULFIQREE BIN HASHIM

SOCIAL RESPONSIBILITY ACTIVITIES

  • Member of Technical Comittee, (26 Dec 2023 - 21 Apr 2024) (International)

COURSE ATTENDED

Internal / External Course
INTERNAL COURSE- ORGANIZED BY PTJ
  1. EMERALD RESEARCH AND SUPERVISION 2023, Cube Universiti Malaya (28 Feb 2023 - 02 Mar 2023)
  2. EMERALD TEACHING AND LEARNING 2023, Universiti Malaya (20 Feb 2023 - 24 Feb 2023)
  3. SPECTRUM GRADEBOOK: ASSESSMENTS AND MARKING ONLINE, Zoom (10 Aug 2023 - 10 Aug 2023)