UTP Scholars: Ts. Dr Nurul Aida binti Osman


Office Address
01-03-029
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:
Email: nurulaida.osman@utp.edu.my
Scopus
Author ID
Document Count
12
Total Citations
89
h-Index
5
Co-authors
19
Google Scholar Citations
Author Profile URL
Citations
194
h-Index
6

As at November 2023

Title:
Lecturer

Qualifications:
  • 2008, Degree in Computer Science by Universiti Kebangsaan Malaysia
  • 2012, Master in Information Science by Universiti Kebangsaan Malaysia
  • 2021, PhD in Information Science by Universiti Kebangsaan Malaysia

Other Information:

Short Biography:

Dr. Nurul Aida Osman received her PhD in Information Science from Universiti Kebangsaan Malaysia in 2021. She completed her Master by research in Information Science from the same university in year 2012. Her research interests are in predictive analytics, sentiment analysis and recommender systems. Currently, she is affiliated with the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, serving as the Lecturer and researcher of Centre of Research in Data Science (CeRDas). She has more than 5 years experiences in ICT research and development industry. She is one of the member of Persatuan Capaian Maklumat dan Pengurusan Pengetahuan Malaysia (PECAMP). Besides, she also has joined the Editorial Board Members of Institute of Electrical and Electronics Engineers (IEEE).


Number of items: 4.

Maheshwari, V.C. and Osman, N.A. and Aziz, N. (2023) A Hybrid Approach Adopted for Credit Card Fraud Detection Based on Deep Neural Networks and Attention Mechanism. Journal of Advanced Research in Applied Sciences and Engineering Technology, 32 (1). pp. 315-331.

Osman, N.A. and Pham, D.N. (2023) IMPROVING ACCURACY IN SENTIMENT ANALYSIS FOR FORMAL AND INFORMAL MALAY LANGUAGE USING SEMANTIC INFORMATION. Journal of Theoretical and Applied Information Technology, 101 (8). pp. 3009-3016. ISSN 19928645

Aziz, N. and Abdullah, M.H.A. and Osman, N.A. and Musa, M.N. and Akhir, E.A.P. (2023) Predictive Analytics for Oil and Gas Asset Maintenance Using XGBoost Algorithm. Lecture Notes in Networks and Systems, 573 LN. pp. 108-117.

Khairuddin, A.A. and Akhir, E.A.P. and Osman, N.A. and Aziz, N. (2023) A Study of the Perceptions of Last-Mile Delivery Towards the Adoption of IoT. Lecture Notes in Networks and Systems, 584 LN. pp. 343-351. ISSN 23673370

This list was generated on Fri Dec 20 08:41:28 2024 +08.