Noor Farizah Ibrahim, Dr.

  • drfarizah 


  • Senior Lecturer

    Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

    Tel : +604 653 5050
    Fax : +604 653 3335
    Room : 718

    School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang

    Research Cluster

    Service Computing



  • Research Interest

    My research interests revolve around text analytics and machine learning: sentiment analysis, topic modelling and time-series analysis, social media research and e-commerce

    Specialization

    Data analytics, machine learning and social media research


Qualifications

PhD, University of Bristol, UK

 

Interests

Data analytics, predictive modelling using machine learning approach and topic modelling in any domain 

Read: The Stanford Data Science Initiative https://datascience.stanford.edu/research/research-areas

Projects

FRGS 2020/2021 - PI: Formulating Dynamic Brand-Customer Behavioural Interactions using a combined Machine Learning approach

TRGS 2020/2021 - Co-Researcher: A Two-Pronged Approach in Drawing the Connection between Cyberbullying and Suicide among Adolescents in Malaysia

Member - USM's AI Governance Group

Leader - USM's Data Analytics Group (completed)

Member - AMM's COVID Immunisation Task Force (CITF) Communication

 

Publications

2019

Ibrahim, N.F., Wang, X. Decoding the sentiment dynamics of online retailing customers: Time series analysis of social media (2019) Computers in Human Behavior, 96, pp. 32-45. DOI: 10.1016/j.chb.2019.02.004

Ibrahim, N.F., Wang, X. A text analytics approach for online retailing service improvement: Evidence from Twitter (2019) Decision Support Systems, 121, pp. 37-50. DOI: 10.1016/j.dss.2019.03.002

2017

Ibrahim, N.F., Wang, X., Bourne, H. Exploring the effect of user engagement in online brand communities: Evidence from Twitter (2017) Computers in Human Behavior, 72, pp. 321-338. DOI: 10.1016/j.chb.2017.03.005

Ibrahim, N.F., Durugbo, C. Historical hashtags: An investigation of the '#CometLanding' tweets (2017) Proceedings of the International Conference on Industrial Engineering and Operations Management, 2017 (JUL), pp. 559-568. DOI:

Ibrahim, N.F., Wang, X. Mining social network content of online retail brands: An exploration of engagement, sentiment analysis and topic modelling (2017) Proceedings of the International Conference on Industrial Engineering and Operations Management, 2017 (JUL), pp. 582-582. DOI:

Ibrahim, N.F., Wang, X. Mining social network content of online retail brands: A machine learning approach (2017) Proceedings of the 11th European Conference on Information Systems Management, ECISM 2017, , pp. 129-138. DOI:

2016

Ibrahim, N.F., Durugbo, C. Designing online service: From state-of-the-art to a unified framework (2016) WEBIST 2016 - Proceedings of the 12th International Conference on Web Information Systems and Technologies, 1, pp. 255-262. DOI:

Supervision

PhD - (1) An Efficient Clustering Algorithm using BaselineBehavior based on Game Theory

MSc: 

  • Speed Path Process Improvement using Data Science and Analytics; 
  • An Exploration of Factors for Mothers having Multiple Children with Thalassemia Major using Topic Modelling;
  • Time-series Analysis and Prediction of S-parameter performance of Radio Frequency Devices; 
  • Sentiment Analysis on Amway's brand; 
  • Sentiment Analysis of Malaysian Public Perceptions to control Covid-19 Pandemic via Twitter; 
  • Machine Learning Approach on Equities Technical Analysis and Trading Strategy; 
  •  Forensic Analytics in Illegal Drug Trading On Darknet

UG:

  • Cashless and Cardless: An e-Wallet Integrated Platform;
  • An Interactive Key to the species of Spathoglottis Blume (Orchidaceae) from Peninsular Malaysia
  • University Program Monitoring System
  • WHATSFAKE: Fake News Detection on Social Media Networks
  • WHATSON: Time-series Analysis of Social Media Content

Teaching

(1) Principle of Data Science and Analytics; (2) Decision Support Systems & Business Intelligence (3) Consumer Behavioral and Social Media Analytics and; (4) System Analysis and Design

Recognition & Leadership

  • A certified International Software Testing Qualification Board (ISTQB) Software Tester (CTFL)
  • Huawei Certified ICT Associate-Artificial Intelligence (HCIA-AI)
  • Huawei Certified Academy Instructor (HCAI)
  • Professional membership: Member of British Computer Society, Data Science Foundation, IEEE Big Data Community
  • WOS/Scopus Journal reviewer

Consultancy

Trainer (Internal/External):

  • Pengurusan Sains Data dan Analitik - Research Officers, Universiti Sains Malaysia
  • Kursus Pengatucaraan Python - PPKT, Universiti Sains Malaysia
  • ML Regression Module - Universiti Sains Malaysia (Kampus Perubatan)
  • Professional Certification in Data Science  - Kulim Advanced Technologies Sdn. Bhd. (KTechno)