Harisu Abdullahi Shehu

Harisu Abdullahi Shehu profile picture

PhD Student
School of Engineering and Computer Science

Thesis Info

Research Interests: Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning, Natural Language Processing
Thesis Title: Emotion Detection and its Effect on Decision-making
Supervisor: Prof Will Browne, A/Prof Hedwig Eisenbarth (Psychology)

 

My main research is on Emotion Detection from patterns of facial movement and physiological changes.

Publications
  • Shehu, H. A., Browne, W.N., & Eisenbarth, H., (2022) "A Comparison of Humans and Machine Learning Classifiers Detecting Emotion from Faces of People with Different Coverings," Applied Soft Computing journal, 130, doi: 10.1016/j.asoc.2022.109701
  • Shehu, H. A., Browne, W.N., & Eisenbarth, H., (2022) "An Anti-Attack Method for Emotion Categorization from Images," Applied Soft Computing journal, 128, 109456, doi: 10.1016/j.asoc.2022.109456
  • Shehu, H. A., Browne, W. N., & Eisenbarth, H., (2021) "An Out-of-distribution Attack Resistance Approach to Emotion Categorization," IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2021.3105371
  • Shehu, H. A., Browne, W. N., & Eisenbarth, H., (2021) "Particle Swarm Optimization for Feature Selection in Emotion Categorization," IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 752-759, doi: 10.1109/CEC45853.2021.9504986.
  • Shehu H.A., Siddique A., Browne W. N., Eisenbarth H. (2021) Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images. In: Castillo P.A., Jiménez Laredo J.L. (eds) Applications of Evolutionary Computation. EvoApplications 2021. Lecture Notes in Computer Science, vol 12694. Springer, Cham. https://doi.org/10.1007/978-3-030-72699-7_30
  • Shehu, H. A. , Browne, W. N., & Eisenbarth, H. An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1307-1314). IEEE. https://doi.org/10.1109/RO-MAN47096.2020.9223510
  • Shehu H.A., Browne W. N., & Eisenbarth H. (2020) Emotion Categorization from Video-Frame Images Using a Novel Sequential Voting Technique. In: Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2020. Lecture Notes in Computer Science, vol 12510. Springer, Cham. https://doi.org/10.1007/978-3-030-64559-5_49
Published Abstracts
  • Shehu, H. A., Oxner, M., Browne, W. N., & Eisenbarth, H., "Moment-by-moment Prediction of Physiological Responses to Emotional Stimuli", 2022 Australasian Brain & Psychological Sciences Meeting.
  • Shehu, H. A., Oxner, M., Gastrell, T., Walsh, A., Browne, W. N., Xue, B., & Eisenbarth, H., "Moment-by-moment Prediction of Emotional Arousal and Physiological Responses", 2021 Australasian Neuroscience Conference.
Media
  • When faces are partially covered, neither people nor algorithms are good at reading emotions, The Conversation [link]
  • Face masks and recognising emotions, RNZ [link]
More of my publications can be found on Google Scholar

Links You can read more about me on my homepage