Profile
Misbah Farooq is a Doctoral Researcher at the Institute for Digital Technologies. Misbah’s research areas focus on Natural language processing (NLP), Affective computing, Machine learning, Artificial intelligence, Cross modal interaction.
PhD research
Explainable Affective Computing focuses on enhancing the interpretability and transparency of systems designed to detect and analyse human emotions. It merges affective computing, which uses Artificial intelligence (AI) to understand emotions from various modalities such as text, speech, and facial expressions, with explainability to provide clear reasoning behind emotional predictions.
Misbah’s research focuses on creating models that not only detect emotions but also explain the reasoning behind these emotional assessments. By analysing factors such as tone, context, and linguistic features, the research provides valuable insights into why specific emotional states are identified.
This work is essential for enhancing trust and reliability in human-AI interactions, particularly in sensitive areas like mental health, education, and human-computer communication, where understanding emotional nuances and intent is vital. This research is funded by Higher Education Commission of Pakistan (HEC).
PhD supervisors
- Dr Varuna de Silva, Dr Xiyu Shi
Papers, publications and articles
Farooq, M., De Silva, V. and Shi, X., 2024, July. An Attention-based Ensemble Model for Emotion Recognition in Conversation. In 2024 14th International Conference on Pattern Recognition Systems (ICPRS) (pp. 1-7). IEEE.
Farooq, M., De Silva, V., Tibebu, H. and Shi, X., 2023, May. Conversational Emotion Detection and Elicitation: A Preliminary Study. In 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET) (pp. 1-5). IEEE.
Farooq, M., Hussain, F., Baloch, N.K., Raja, F.R., Yu, H. and Zikria, Y.B., 2020. Impact of feature selection algorithm on speech emotion recognition using deep convolutional neural network. Sensors, 20(21), p.6008.