Dr Dalia Abdulkareem Shafiq Al-Obaidi

Dr Dalia Abdulkareem Shafiq Al-Obaidi

  • Lecturer
Department of Business Analytics
  • 红杏视频 Business School
SDGs Focus

Biography

Dr Dalia is a lecturer and researcher at the Department of Business Analytics, 红杏视频 Business School, 红杏视频 University, Malaysia. She obtained her Ph.D. in Computer Science in 2025 from Taylor's University, Malaysia, where she also served as a tutor for undergraduate students and a research assistant under the Faculty of Innovation. She has received her MSc. and BSc. degrees from Taylor鈥檚 University, Malaysia, in 2019 and 2021, respectively. 

Beyond research, she actively contributes to academic and professional communities through research collaborations, grant-funded projects, peer review activities, and the supervision of students. She has published research in high-impact international journals and conference proceedings, with interests spanning machine learning, deep learning, computer vision, big data analytics, and AI-driven educational systems. Her work also extends to interdisciplinary initiatives that promote diversity, inclusion, and student engagement in education. She also explores broader areas such as distributed computing, cloud computing, and simulation.

Academic & Professional Qualifications

  • Doctor of Philosophy (Ph.D.) in Computer Science 鈥 Data Science & Machine Learning, Taylor's University, Malaysia (2024)
  • Master of Computer Science (Research) 鈥 Cloud Computing & Machine Learning, Taylor's University, Malaysia (2021)
  • Bachelor of Computer Science (Honours) 鈥 Taylor's University & University of the West of England (UWE), Malaysia, UK (2019)

Research Interests

  • Big data Analytics
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • AI-driven Education
  • Student Engagement and Performance
  • Distributed Computing
  • Cloud Computing and Simulation.

Teaching Areas

  • Business Analytics
  • Data Science
  • Web Design & Development
  • Advanced Programming

Notable Publications

  1. Hasan, A., Nasser, A., Al-Araji, A., Shafiq, D., Al-Obaidi, A., Al-Khazraji, H., & Humaidi, A. (2025). Enhanced Product Defect Detection in Smart Manufacturing Using ConvNeXt-Stacked Autoencoder Architecture. Indonesian Journal of Science and Technology, 10(2), 297-316.   

  1. Abdulkareem Shafiq, D., Marjani, M., Ahamed Ariyaluran Habeeb, R., & Asirvatham, D. (2025). Digital Footprints of Academic Success: An Empirical Analysis of Moodle Logs and Traditional Factors for Student Performance. Education Sciences, 15(3), 304. (SDG 4) 

  1. D. A. Shafiq, M. Marjani, R. A. A. Habeeb and D. Asirvatham, "Enhancing Student Performance LMS Data with Feature Engineering for Improved Cluster Quality,"鈥2024 International Conference on Informatics Engineering, Science & Technology (INCITEST), Bandung, Indonesia, 2024, pp. 1-8, (SDG 4) 

  1. A. Z. Bin Ahmed Sharizan, M. Marjani, D. A. Shafiq, N. Jhanjhi, D. A. Asirvatham and K. Sharma, "Towards Enhanced Breast Cancer Prediction: A Comparative Evaluation Study,"鈥2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), Windhoek, Namibia, 2024, pp. 1-8, (SDGs 3, 9) 

  1. J. A. I. S. Masood, N. S. Kalyan Chakravarthy, D. Asirvatham, M. Marjani, D. Abdulkareem Shafiq and S. Nidamanuri, "A Hybrid Deep Learning Model to Predict High-Risk Students in Virtual Learning Environments," in IEEE Access, vol. 12, pp. 103687-103703, 2024, (SDG 4) 

  1. Youneszade, N., Marjani, M., Shafiq, D.A. (2024). 鈥淓xploring the Impact of Increasing the Number of Classes on the Performance of Cervical Cancer Detection Models Using Deep Learning and Colposcopy,鈥 Journal of Engineering Science and Technology, 19( 2), 629 鈥 647. (SDGs 3, 9) 

  1. Dalia Abdulkareem Shafiq, Abdulkareem Sh. Mahdi Al-Obaidi, Sujatavani Gunasagaran, Tamil Salvi Mari. (2024). 鈥淓mpowering Engineering Female Students to Improve Retention and Progression: A Program Evaluation Study Completed with Bibliometric Analysis,鈥 Indonesian Journal of Science & Technology, 9(2), 373-394,  (SDGs 4, 5, 10) 

  1. Shafiq, D.A., Marjani, M., Habeeb, R.A.A., Asirvatham, D. (2023). A Narrative Review of Students鈥 Performance Factors for Learning Analytics Models. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore, (SDG 4) 

  1. Eshrak Alaros, Mohsen Marjani, Dalia Abdulkareem Shafiq, David Asirvatham. (2023). 鈥淧redicting Consumption Intention of Consumer Relationship Management Users Using Deep Learning Techniques: A Review,鈥 Indonesian Journal of Science & Technology, 8(2) (2023) 307-328, (SDG 9) 

  1. D. A. Shafiq, M. Marjani, R. A. A. Habeeb and D. Asirvatham, "A Conceptual Predictive Analytics Model for the Identification of at-risk students in VLE using Machine Learning Techniques," 2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), Karachi, Pakistan, 2022, pp. 1-8, (SDG 4) 

  1. D. A. Shafiq, M. Marjani, R. A. A. Habeeb and D. Asirvatham, "Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review," in IEEE Access, vol. 10, pp. 72480-72503, 2022,   (SDG 4) 

  1. D. A. Shafiq, N. Jhanjhi and A. Abdullah, "Machine Learning Approaches for Load Balancing in Cloud Computing Services," 2021 National Computing Colleges Conference (NCCC), Taif, Saudi Arabia, 2021, pp. 1-8,   

  1. D. A. Shafiq, N. Z. Jhanjhi, A. Abdullah and M. A. Alzain, "A Load Balancing Algorithm for the Data Centres to Optimize Cloud Computing Applications," in IEEE Access, vol. 9, pp. 41731-41744, 2021, (SDG 9) 

  1. Dalia Abdulkareem Shafiq, N.Z. Jhanjhi, Azween Abdullah, 鈥淐loudSim 3.0.3 Simulator Step by Step鈥, ResearchGate, 2021,   

  1. Dalia Abdulkareem Shafiq, N.Z. Jhanjhi, Azween Abdullah, 鈥淟oad balancing techniques in cloud computing environment: A review,鈥 Journal of King Saud University - Computer and Information Sciences, 34(7), 2022, 3910-3933, (SDG 9) 

  1. D. A. Shafiq, N. Jhanjhi and A. Abdullah, "Proposing A Load Balancing Algorithm For The Optimization Of Cloud Computing Applications," 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), Karachi, Pakistan, 2019, pp. 1-6, (SDG 9) 

  1. V. R. P. Rao et al., "Design and Development of Facial Recognition-based Library Management System (FRLMS)," 2018 International Conference on Computing, Engineering, and Design (ICCED), Bangkok, Thailand, 2018, pp. 119-124, (SDGs 4, 9) 

Achievements & Accolades

Part-Time Research Assistant - A Smart Animal Detection and Deterrence System for Agricultural Farms in Malaysia 2025 | Amount : RM 21,200.00
鈥 Funding agency: Taylor鈥檚 University
鈥 Awarded May 2025 鈥 December 2025 / Research institution: Taylor's University
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Co-researcher - Harvesting the Value of Water: Opportunities for Realizing Gravity Water and Rainwater Harvesting For Low-Income Group (B40) Of Kampung Tinata Ulu, Kota Belud, Sabah  2022 | Amount : RM 754,216.00 
鈥 Funding agency: Yayasan Petronas 
鈥 Awarded January 2024 鈥 August 2025 / Research institution: Taylor's University
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Co-researcher / Lead Data Collection - Women in Engineering 2022 | Amount : USD 17,960 
鈥 Funding agency: Engineering Information Foundation (EIF) - EiF22.11
鈥 Awarded March 2023 鈥 June 2024 / Research institution: Taylor's University
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HONORS & AWARDS:
鈥 Certificate of Achievement: QS ImpACT Best Student SDG Project Award 2025
鈥 Top four global finalists in the IET Engineers in Society Awards (Teams) 2025 for 鈥淗arvesting the Value of Water鈥 project.
鈥 Shortlisted for the Sustainability Education Literacy Award at the QS Reimagine Education Awards 2025 for 鈥淗arvesting the Value of Water鈥 project.
鈥 Taylor's Research Excellence Scholarship 2021 and 2019, Scheme B award 75% 鈥 Taylor鈥檚 University.
鈥 Dean's List Letter of Commendation (TU\UWE 2017-2019) 鈥 Taylor鈥檚 University.
鈥 NASA International Space App Challenge - Galactic Problem Solver (2017).
鈥 Certificate of Achievement: Google Online Professional by Google Web Academy (2016).
 

Professional Associations

Graduate Technologist by the Malaysia Board of Technologists (MBOT) 2024