Rate My Professor Masood Khan

Dr. Masood Khan serves as a Senior Lecturer in Mechatronics and Mechanical Engineering in the School of Civil and Mechanical Engineering, Faculty of Science and Engineering at Curtin University in Perth, Australia. He joined Curtin University in 2008 and has progressed in his academic career there, contributing to teaching and research in engineering disciplines. His educational background includes a BSc and BE from NED University of Engineering and Technology, an MS in Mechanical Engineering from Colorado State University obtained between 1989 and 1991, and a PhD from the University of Huddersfield completed between 2003 and 2006. Khan holds professional designations as a Fellow of the Higher Education Academy (FHEA) and Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He teaches undergraduate and postgraduate units in mechatronics and mechanical engineering and supervises capstone projects, MPhil, and PhD students in areas related to artificial intelligence and robotics.

Khan's research specializations encompass Artificial Intelligence, Machine Vision, Robotics, Affective Computing, and Computer Vision, with a particular emphasis on infrared thermal imaging for facial expression recognition and emotion detection. His scholarly impact is evidenced by over 649 citations on Google Scholar. Key publications include 'Classifying pretended and evoked facial expressions of positive and negative affective states using infrared measurement of skin temperature' (2009, ACM Transactions on Applied Perception, 123 citations); 'Automated facial expression classification and affect interpretation using infrared measurement of facial skin temperature variations' (2006, ACM Transactions on Autonomous and Adaptive Systems, 104 citations); 'Multi-modal Visual Features Based Video Shot Boundary Detection' (2017, IEEE Access, 76 citations); 'Infrared thermal sensing of positive and negative affective states' (2006, IEEE Conference on Robotics, Automation and Mechatronics, 41 citations); 'Toward Use of Facial Thermal Features in Dynamic Assessment of Affect and Arousal Level' (2017, IEEE Transactions on Affective Computing, 37 citations); 'Automated classification and recognition of facial expressions using infrared thermal imaging' (2004, IEEE Conference on Cybernetics and Intelligent Systems, 27 citations); 'Toward Accountable and Explainable Artificial Intelligence Part one: Theory and Examples' (2022, IEEE Access, 23 citations); and 'Video shot boundary detection based on candidate segment selection and transition pattern analysis' (2015, IEEE International Conference on Digital Signal Processing, 21 citations). His contributions extend to collaborative projects on AI applications in corrosion prediction and biomedical devices.