About Me

Academic Qualifications

1. Master of Science in Information Technology and Quantitative Sciences, Universiti Teknologi MARA, 2015
2. Bachelor of Computer Science (Hons) First Class, Universiti Teknologi MARA, 2010

Working Experiences

Courses Taught

1. CGEB4313 - Project 1
2. CGEB4323 - Project II
3. CGNB293 - Statistics for Computing
4. CGNB413 - Project 1
5. CGNB424 - Project 2
6. CISB214 - Database I
7. CISB3112 - Ethics and IT Professional Practices
8. CISB314 - Database 2
9. CISB323 - Business Programming
10. CISB423 - PROJECT 1
11. CISB434 - Decision Support Systems
12. CISB463 - Business Intelligence
13. CISB464 - PROJECT 2
14. CISB484 - Internet of Things: Foundation and Applications
15. CISB5113 - Introduction to Data Engineering
16. CISB5123 - Text Analytics
17. CISB594 - Business Intelligence
18. CMPD103 - Statistic for Computer Science
19. CMPD373 - User Experience (UX) Design
20. CSNB143 - Discrete Structures

Professional Bodies

1. Association for Computing Machinery: Normal Member- 2023
2. Association of Human-Computer Interaction Malaysia: Normal Member- 2023
3. Malaysia Board of Technologists: Normal Member- 2024
4. Malaysia Board of Technologists: Normal Member- 2018

Research Projects

1. Formulating a Measles Outbreak Prediction Model through the Integration of Structured and Unstructured Big Data

Publications

1. Nur Laila Bte Ab Ghani; Urban Sprawl Shape Description; Malaysian Journal Of Computing; Malaysian Journal of ComputingVol. 2, Issue 1, 2014ISSN 2231-7473; 01 Sep 2014; Journal; None
2. Nur Laila Bte Ab Ghani; Accuracy Assessment Of Urban Growth Pattern Classification Methods Using Confusion Matrix And Roc Analysis ; Book Title: Soft Computing In Data Science Book Subtitle: First International Conference, Scds 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings ; Series Title: Communications in Computer and Information Science Series Volume: 545 DOI: 10.1007/978-981-287-936-3_24 Pp. : 255 -264 Publisher: Springer-Verlag Singapore ; 02 Sep 2015; Conference Proceeding; SCOPUS
3. Nur Laila Bte Ab Ghani; Experimental Study Of Urban Growth Pattern Classification Using Moving Window Algorithm; Journal Of Engineering And Applied Sciences; Volume :11, Issue No :7, Article ID :10.3923/jeasci.2016.1639.1643, Page Start :1639, Page End :1643, ISSN :1816-949X; 20 Dec 2016; Journal; SCOPUS
4. Nur Laila Bte Ab Ghani, SULFEEZA BTE MOHD DRUS, Noor Hafizah Binti Hassan, ALIZA BTE ABDUL LATIF; Factors Of Emerging Infectious Disease Outbreak Prediction Using Big Data Analytics: A Systematic Literature Review ; Proceedings Of The 6Th International Conference Of Computing & Informatics; Volume :-, Issue No :-, Article ID :115, Page Start :37, Page End :42, ISSN :2289-7402; 27 Apr 2017; Conference Proceeding; ISI
5. Nur Laila Bte Ab Ghani; The Classification Of Urban Growth PatternUsing Topological Relation Border LengthAlgorithm: An Experimental Study; Recent Trends In Information And Communication TechnologyProceedings Of The 2Nd Internationalconference Of Reliable Information And Communication Technology (Irict 2017); Volume :5, Issue No :-, Article ID :-, Page Start :545, Page End :553, ISSN :2367-4512; 02 Jun 2017; Conference Proceeding; ISI
6. Nur Laila Bte Ab Ghani; A Modified Landscape Expansion Index Algorithm For Urban Growth Classification Using Satellite Remote Sensing Image; Advanced Science Letters; ; 01 Mar 2018; Conference Proceeding; ISI
7. Nur Laila Bte Ab Ghani, SULFEEZA BTE MOHD DRUS; Data Mining Techniques For Disease Risk Prediction Model:A Systematic Literature Review; Recent Trends In Data Science And Soft Computing. Irict 2018. Advances In Intelligent Systems And Computing. Springer; ; 09 Sep 2018; Conference Proceeding; ISI
8. Nur Laila Bte Ab Ghani, Zaihisma Binti Che Cob, SULFEEZA BTE MOHD DRUS, HIDAYAH BTE SULAIMAN; Student Enrolment Prediction Model In Higher Education Institution: A Data Mining Approach; Lecture Notes In Electrical Engineering (Lnee) ; Volume :565, Issue No :-, Article ID :https://doi.org/10.1007/978-3-030-20717-5_6, Page Start :43, Page End :52, ISSN :1876-1100; 16 May 2019; Conference Proceeding; SCOPUS
9. Zaihisma Binti Che Cob, Nur Laila Bte Ab Ghani, SULFEEZA BTE MOHD DRUS; Big Data Analytics Framework For Smart Universities Implementations; Lecture Notes In Electrical Engineering (Lnee); Volume :565, Issue No :-, Article ID :https://doi.org/10.1007/978-3-030-20717-5_7, Page Start :53, Page End :62, ISSN :1876-1100; 16 May 2019; Conference Proceeding; SCOPUS
10. PRAJINDRA SANKAR A/L KRISHNAN, SULFEEZA BTE MOHD DRUS, Nur Laila Bte Ab Ghani; Substation Transformer Failure Analysis Through Text Mining; 2019 Ieee 9Th Symposium On Computer Applications & Industrial Electronics (Iscaie); ; 24 Jun 2019; Conference Proceeding; SCOPUS
11. Zaihisma Binti Che Cob, Nur Laila Bte Ab Ghani, SULFEEZA BTE MOHD DRUS; Examination Of Significant Factors Influencing Response Time Of Customer Complaint Based On Analytics Method; International Journal Of Engineering & Advanced Technology (Ijeat); Volume :9, Issue No :1, Article ID :10.35940/ijeat.A2642.109119, Page Start :3415, Page End :3418, ISSN :2249 – 8958; 01 Oct 2019; Journal; SCOPUS
12. Nur Laila Bte Ab Ghani, SULFEEZA BTE MOHD DRUS; Handling Imbalanced Class Problem Of Measles Infection Risk Prediction Model; International Journal Of Engineering And Advanced Technologu (Ijeat); Volume :9, Issue No :1, Article ID :n/a, Page Start :3431, Page End :3435, ISSN :2249-8958; 31 Oct 2019; Journal; SCOPUS
13. Nur Laila Bte Ab Ghani, SULFEEZA BTE MOHD DRUS; Minimizing False Negatives Of Measles Prediction Model: An Experimentation Of Feature Selection Based On Domain Knowledge And Random ForestClassifier; International Journal Of Engineering And Advanced Technology (Ijeat); Volume :9, Issue No :1, Article ID :10.35940/ijeat.A2640.109119, Page Start :3411, Page End :3414, ISSN :2249 – 8958; 31 Oct 2019; Journal; Indexing In Progress