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Dr. Rutab Marriam

School of Artificial Intelligence and Robotics

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Biography

Dr. Ruttab Maryam is a researcher and academic specializing in Software Engineering and Computer Science. She holds a PhD in Software Engineering (Computer Science),  MS in Computer Science, and MSc in Telecommunications, with a strong foundation in Science at the undergraduate level. Her research expertise encompasses Deep Learning, Machine Learning, Semantic Web Technologies, Ontology Engineering, and Intelligent Adaptive Systems.
Dr. Maryam’s recent work focuses on designing a self-adaptive ontology and sentiment analysis-based CNN framework for real-time rumor detection over social media, with enhance adaptiveness and performance. Her research contributes to advancing knowledge representation, reasoning, and intelligent data classification models within dynamic and complex information environments.
She is proficient in using advanced research and analytical tools, including Protégé, SPSS, Weka, and Google Colab, and is passionate about bridging semantic technologies with deep learning for intelligent decision-making systems. Dr. Maryam has also received recognition for her academic achievements, including a Silver Medal in the GREX Poster Competition.

Research Interest

Fake News Detection, Ontology Design, Self-Adaptive Ontologies, Adaptive Frameworks, Social Media Data Analysis, Rumour & Misinformation Detection, Text Pre-processing and Sentiment Analysis.

Educational Background

  • PhD in Computer Science_ Software Engineering (2025), Universiti Teknologi Malaysia (UTM), Johar Bahru, Malaysia  

  • MS in Computer Science (2021), The University of Lahore (UOL), LHR, Pakistan  

  • MSc in Telecommunications (2010), The Government Collage University (GCU), LHR, Pakistan  

  • Bachelors in Science (2007), The Punjab University (PU), LHR, Pakistan  
     

Working Experience

  • Lecturer, Department of Artificial Intelligence (AIT), School of Artifical Intelligence and Robotics, Xiamen University Malaysia, Malaysia (2025 – Present)

  • Teaching Assistant _ UTM-SEM I SESSION 2024/2025 (Present) 

  • Research Assistant _ Elite Global-Malaysia_(Present) 

  • Teaching Assistant _ UTM-SEM II SESSION 2022/2023 

  • Research Assistant _COMSATS university Lahore Pakistan 2018-2021 

  • Teaching (SBJECT SPECIALIST) _ St.Stephen’s Cambridge School 2010-2017

Publications

Journal Publications 

  • Rutab Marriam, Radziah Mohamad, Sim Hiew Moi (2025).  Real-Time Analytics on Rumors:  Evolution, Methods and Challenges.  International  Journal  of  Advances  in Applied Science (Indexed by SCOPUS)

  • Rutab Marriam, Radziah Mohamad, Sim Hiew Moi (2025).  Self-Adaptive Ontology Based Framework for Dynamic Rumour Detection. International Journal of Advances in Applied Science (Indexed by SCOPUS)

  • Ahmad,    A.,    Zeshan,    F.,    Hamid,   M.,   Marriam,    R.,   &    Samreen,    A.    (2022).“Application    of    Gamification in Modern Education”. In Handbook of Research  on Promoting Economic and Social Development Through Serious Games (pp. 60-75).  IGI Global.

  • Ahmad,  A.,  Zeeshan,  F.,  Marriam,  R.  Samreen  A.,  and  Ahmed,  S.  (2020). Does one size fit all?  Investigating  the  effect of  group  size  and  gamification  on  learners’ behaviours  in  higher  education. Journal of Computing in Higher  Education. https://doi.org/10.1007/s12528-020-09266-8 (Impact Factor, 2.63).

  • Ahmad, A., Zeeshan, F., Khan, M. S., Marriam, R., Ali, A.,   and Samreen, A.    (2020). “The  Impact of Gamification  on  Learning  Outcomes  of  Computer  Science  Majors”, ACM  Transaction    on    Computing  Education.  VOL  20,  Issue  2,  pp.  1-25.  DOI: https://doi.org/10.1145/3383456 (Impact Factor, 1.721).

 Conference Publications 

  • Rutab Marriam,  Radziah Mohamad,  Sim Hiew Moi  (2024).  Sentiment-Driven Dual-Input Convolutional Neural Network  for  Multi-Class  Rumor  Detection.  4th International Conference of Advanced Computing and Informatics (ICACIn'24) (Indexed by SCOPUS). 

  • Identification of salient features for rumor detection-PARS 2023.

  • Comprehensive rumor management strategies for social media news_ a systematic literature review-PARS 2024.