About Me
Courses Taught
Professional Bodies
Research Projects
Publications
About Me
Full Name:
NUR LAILA BTE AB GHANI, TS.
Email:
Laila@uniten.edu.my
Contact Number:
03-89212020 Ext: 3256
Department:
Department of Informatics
Academic Qualifications
- Master of Science in Information Technology and Quantitative Sciences, Universiti Teknologi MARA, 2015
- Bachelor of Computer Science (Hons) First Class, Universiti Teknologi MARA, 2010
Working Experiences
Position | Place of Work | Start | End |
---|---|---|---|
Lecturer | Universiti Tenaga Nasional | 2015 | 2024 |
Assistant Lecturer (Contract) | Universiti Teknologi MARA | 2010 | 2013 |
Courses Taught
- CGEB4313 - Project 1
- CGEB4323 - Project II
- CGNB293 - Statistics for Computing
- CGNB413 - Project 1
- CGNB424 - Project 2
- CISB214 - Database I
- CISB3112 - Ethics and IT Professional Practices
- CISB314 - Database 2
- CISB323 - Business Programming
- CISB423 - PROJECT 1
- CISB434 - Decision Support Systems
- CISB463 - Business Intelligence
- CISB464 - PROJECT 2
- CISB484 - Internet of Things: Foundation and Applications
- CISB5113 - Introduction to Data Engineering
- CISB5123 - Text Analytics
- CISB5143 - Data Engineering
- CISB594 - Business Intelligence
- CMPD103 - Statistic for Computer Science
- CMPD373 - User Experience (UX) Design
- CSNB143 - Discrete Structures
Professional Bodies
- Association for Computing Machinery: Normal Member- 2023
- Association of Human-Computer Interaction Malaysia: Normal Member- 2023
- Malaysia Board of Technologists: Normal Member- 2024
- Malaysia Board of Technologists: Normal Member- 2018
Research Projects
- Formulating a Measles Outbreak Prediction Model through the Integration of Structured and Unstructured Big Data
Publications
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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