Badr is a PhD candidate and currently (hopefully) at his final months of completing his doctorate research. His research interest lies in biometrics: particularly his study focuses on unconstrained facial recognition – occluded images with additional challenges such as expression, variations and single sample per subject. He recently attempted to study occluded images coupled with expression, a new challenge few research in this area considers.
Bisan Alsalibi received her first degree from the Islamic University of Gaza, Computer Engineering Department, Palestine in 2009 and her master degree from the Computer Science School in USM, Malaysia, 2013. She worked as a research assistant in USM in 2013. She is currently a PhD candidate at USM funded by MIS scholarship. Her general research interest is bio-inspired computing, membrane computing, graph theory and computer vision. In short, she is interested in recognizing objects under uncertainty which is being a challenge to even humans by means of modeling biologically motivated approaches.
Preeta is currently a PhD candidate whose interest is in culture-specific emotion modelling, in which she attempts to investigate the markers of gene or culture-specific personalities and emotions through the verbal and non-verbal factors among people of different races in Malaysia. This inter-disciplinary area that combines genetic, psychology, cognitive and new aspect of computing has captured her attention and she pursues this study with hopes to contribute to the society.
Amal Aziz’s research interests lay in the field of computer vision, image processing and pattern recognition. Particularly, she is passionate about human emotion recognition towards enhancing human-computer interaction. Her Master’s research is on automatic facial expression recognition in 3D faces. Her intentions are to work in analyzing the verbal and non-verbal human emotion cues to build a multi-model emotion recognition system. Applying such a system in a particular application, such as: gaming, tutoring, etc, to improve the human emotional experience with machines is her ultimate goal. Amal successfully completed her Masters (by research) and is currently embarking PhD. She investigates facial expression recognition impairments in drug users. She would move on to investigate the contribution of gaze in this study.
Najlaa Sadiq Mokhtar
Najlaa Sadiq Mokhtar is a MSc. candidate who embarks on an interesting research in the field of Human Computer Interactions, focusing in Affective Computing (personality, behaviour and emotion analysis) in learning, which. In short, she attempts to investigate the effects of emotions in learning. She hopes to build an affect-sensitive synthetic tutor that could detect and respond appropriately to learner’s state. The emotions involved would be those that accompany learning.
Zaaba is a Masters candidate who is working on a research in-line with the trending of Social Media era where he attempts to predict personality traits through the usage behaviour of social media. His study is to demonstrate how people’s behaviour in social media can be used to predict user personality traits. He has been inspired to work in this area as social media has become universal and important platform for networking and content sharing.
Laura Ren’s interests lie within the area of Social Informatics, which is the study of social phenomena, behaviours and structure
through the use of technology. Her work focuses in interaction in the Chinese cultural context, using social media features. Currently she is a MSc. Informatics candidate at PPSKOMP, USM. The idea of making machines understand people’s language and emotion has attracted her attention. She is eager to explore the new world, as Tagore said, she believes this would be the new power of her growth.