The Global College of Engineering and Technology (GCET) has a key role in the Data Science research and education in the Sultanate of Oman.
Data Science Research Group is a team of academics at GCET with passion for data science. Various areas where the group is actively functioning are Artificial Intelligence, Machine learning, Statistics, and Predictive Analytics. The Data Science Research Group cooperates closely with the Data Science study programme offered by GCET.
Data Science Research Group is active in teaching, research, industrial engagement, and outreach. Key members of the group are involved in the delivery of MSc Data Science. Our research is cross-disciplinary which involves Engineering, Computing, Environmental Science and Education fields.

Research Focus

  • Artificial Intelligence
  • Machine Learning
  • Predictive Analytics
  • Natural language processing
  • Intelligent data retrieval
  • Data Mining

Selected Publications

  • Ahmed, Amjed Sid Ahmed Mohamed Sid, and Mazhar Hussain Malik. “Machine learning for strategic decision making during covid-19 at higher education institutes.” In 2020 International Conference on Decision Aid Sciences and Application (DASA), pp. 663-668. IEEE, 2020.
  • Abuhmaidan, Khaled, and Benedek Nagy. “Bijective, non-bijective and semi-bijective translations on the triangular plane.” Mathematics8, no. 1 (2019): 29.
  • Souri, Alireza, Amin Salih Mohammed, Moayad Yousif Potrus, Mazhar Hussain Malik, Fatemeh Safara, and Mehdi Hosseinzadeh. “Formal verification of a hybrid machine learning-based fault prediction model in Internet of Things applications.” IEEE Access8 (2020): 23863-23874.
  • Hussain, Mazhar, Sid Ahmed Malik, and Sulaiman Al Amjed. “COVID-19 and Learning Styles: GCET as Case Study.” Computers, Materials, & Continua(2021): 103-115.
  • Shahidinejad, Ali, Fariba Farahbakhsh, Mostafa Ghobaei-Arani, Mazhar Hussain Malik, and Toni Anwar. “Context-aware multi-user offloading in mobile edge computing: a federated learning-based approach.” Journal of Grid Computing19 (2021): 1-23.
  • Alanazi, Muhannad Faleh, Muhammad Umair Ali, Shaik Javeed Hussain, Amad Zafar, Mohammed Mohatram, Muhammad Irfan, Raed AlRuwaili, Mubarak Alruwaili, Naif H. Ali, and Anas Mohammad Albarrak. “Brain tumor/mass classification framework using magnetic-resonance-imaging-based isolated and developed transfer deep-learning model.” Sensors22, no. 1 (2022): 372.
  • Asam, Muhammad, Shaik Javeed Hussain, Mohammed Mohatram, Saddam Hussain Khan, Tauseef Jamal, Amad Zafar, Asifullah Khan, Muhammad Umair Ali, and Umme Zahoora. “Detection of exceptional malware variants using deep boosted feature spaces and machine learning.” Applied Sciences11, no. 21 (2021): 10464.