Dr Saifullah is a highly accomplished lecturer at the School of Engineering and Technology of PSB Academy, one of Asia’s leading private education institutions, bringing a wealth of academic achievements and research contributions. Holding a Ph.D. in Intelligent Systems from the University of Wollongong, New South Wales, Australia, and a Ph.D. in Multimedia Computing from Universiti Putra Malaysia, Selangor, Malaysia, Dr Saifullah has demonstrated exceptional expertise in these fields.

As a first author, Dr Saifullah has published influential papers on ontology-based search engines, event detection, sentiment analysis, and more, in prestigious conferences and journals. His expertise also extends to serving as a Peer Reviewer for notable publications on sentiment analysis, personalized route recommendation, and oil temperature prediction.

Passionate about sharing knowledge, Dr Saifullah actively participates in workshops, events, and has conducted talks on various technology-related topics, especially in Artificial intelligence, where his expertise lies. Additionally, he actively contributes to the academic community by being a member of various IEEE communities, including Big Data, Special Interest Group on Humanitarian Technology, and the Technical Committee on Intelligent Informatics.

Dr Saifullah’s extensive career reflects a diverse range of roles and responsibilities, showcasing his expertise in both academia and industry. As a lecturer and programme leader at PSB Academy, Dr Saifullah demonstrated leadership by spearheading the Bachelor (hons) in Robotics and Artificial Intelligence program and MSc Data Science (SDL) programme from the University of Hertfordshire, United Kingdom.

Alongside teaching subjects like Big Data, Artificial Intelligence Principles, Machine Learning and Visualization, Maths for Robotics and AI, and Final Year Projects, he actively participated in continuous improvement initiatives, fostering a dynamic learning environment.

Educational Qualification

• Ph.D. Intelligent Systems (University of Wollongong, New South Wales, Australia)
• Ph.D. Multimedia Computing (Universiti Putra Malaysia, Selangor, Malaysia)
• Master of Science (Artificial Intelligence), Universiti Tun Abdul Razak (Malaysia), 2011
• Bachelor of Information Technology (Hons), Universiti Tun Abdul Razak (Malaysia), 2009

Professional Experiences

• Lecturer, PSB Academy, 2021-Present
• Project Advisor, Mussan Technologies Sdn. Bhd., 2020
• Lecturer, University of Wollongong, 2018-2019
• Research Assistant, Universiti Putra Malaysia, 2017
• Lecturer, University College of Technology Sarawak, 2014-2016
• Lecturer, Kuala Lumpur Metropolitan University College, 2012-2014
• System Developer, Bina Link Sdn. Bhd., 2011-2012

Publications

• S. Razali (2009). “News Interactive Search Engine Using Ontology”, Research Advances and Trends: Postgraduate Conference & Colloquium, Kuala Lumpur, Malaysia.
• S. Razali (2010). “Using Ontology to Build News Network”, Knowledge Management International Conference, Kuala Terengganu, Malaysia.
• S. Razali & A.Y. Yusufie (2010). “Automatic Event Detection on Reuters News”, Knowledge Management International Conference, Kuala Terengganu, Malaysia.
• S. Razali & S.M.F.D. Syed Mustafa (2010). “Multifaceted Approach in Building Interactive News Engine”, International Conference on Information and Multimedia Technology, Hong Kong.
• S. Razali, S.M.F.D. Syed Mustafa (2014). “Context-based News Network”, International Forum on Computers and Information Technology, Shenzhen, China.
• S. Razali (2015). “Ontological News Network”. International Conference on Information Technology and Computer Science, Kota Kinabalu, Malaysia.
• S. Razali (2016). “Sentiment Analysis Using Ontology”. Global Conference on Engineering and Technology, Kuala Lumpur, Malaysia.
• S. Razali (2017). “Multimodal Sentiment Analysis: A Review”. Seminar on Information Retrieval and Knowledge Management, Selangor, Malaysia.
• S. Razali, A.A. Halin, N. Norowi, S. Doraisamy (2017). “The Importance of Multimodality in Sarcasm Detection for Sentiment Analysis”. IEEE Student Conference on Research and Development, Putrajaya, Malaysia.
• S. Razali, A.A. Halin, L. Ye, N. Norowi, S. Doraisamy (2020). “Is sarcasm related to hyperbole? Using machine learning for hyperbole-assisted sarcasm detection”. 8th International Joint Symposium on Applied Engineering and Sciences, Kyushu, Japan.
• Razali, M.S., Halin, A.A., Ye, L., Doraisamy, S. and Norowi, N.M. (2021). Sarcasm Detection Using Deep Learning With Contextual Features. IEEE Access, 9, pp.68609-68618.
• Razali, M.S., Halin, A.A., Chow, Y.W., Norowi, N.M. and Doraisamy, S. (2022). Context-Driven Satire Detection With Deep Learning. IEEE Access, 10, pp.78780-78787.
• Razali, M.S., Halin, A.A., Chow, Y.W., Norowi, N.M. and Doraisamy, S. (2022). Deep and Contextually Engineered Features for Metaphor Detection.
• Razali, M.S., Halin, A.A., Chow, Y.W., Norowi, N.M. and Doraisamy, S. (2022). Sarcasm Relation to Time: Sarcasm Detection with Temporal Features and Deep Learning.
• Razali, M. S., Halin, A. A., Chow, Y. W., Norowi, N. M., & Doraisamy, S. (2022). Deep Learning Metaphor Detection with Emotion-Cognition Association. In International Conference on Digital Transformation and Intelligence (ICDI) (pp. 8-14). IEEE.
• Razali, M. S., Halin, A. A., Chow, Y. W., Norowi, N. M., & Doraisamy, S. (2023). Sarcasm Relation to Time: Sarcasm Detection with Temporal Features and Deep Learning. In The 20th Pacific Rim International Conference on Artificial Intelligence, Jakarta, Indonesia.