Dr Md Zakir Hossain
PhD in Computer Science, RSCS, ANU.
Research Fellow (CSIRO), BDSI, ANU.
ANU College of Science
Areas of expertise
- Artificial Intelligence And Image Processing 0801
- Biomedical Engineering 0903
Research interests
- Bioinformatics
- Computer Vision
- Machine Learning
- Human-Centred Computing
- Biological Computing
Google Scholar Link: https://bit.ly/2CREur0
Available Student Projects: https://bit.ly/3aVk3do
Research activities and scholarships: http://users.cecs.anu.edu.au/~u5710140/research_opportunity.html
Biography
Dr Zakir received the BSc degree in 2011 and the MSc degree in 2014 in Electrical and Electronic Engineering from Khulna University of Engineering & Technology (KUET) in Bangladesh. He served as a Lecturer in the University of Information Technology and Science, Bangladesh for six months in 2012. Later on, he joined as a Lecturer at KUET in 2012 and upgraded his position into Assistant Professor in 2014. He started PhD in the Research School of Computer Science (RSCS) at the Australian National University (ANU) in 2015 and was conferred the degree on 19 July 2019. He has been working as a tutor with ANU College of Engineering and Computer Science (CECS) and as a Research Assistant with RSCS and ANU College of Business and Economics. He was also a casual tutor for the Faculty of Science and Technology at University of Canberra. He completed his first postdoc with RSCS and Our Health in Our Hands (OHIOH) project at ANU. He also worked for short-term Postdoc with the Cetre for Health Informatics at Macquarie University, North Ryde, Sydney. Currently, Dr Zakir is a Research Fellow at Biological Data Science Institute (BDSI), ANU and CSIRO, Canberra. He is also a honorary leturer for RSCS, ANU.
Publications
- HOSSAIN, M & Gedeon, T 2018, 'An Independent Approach to Training Classifiers on Physiological Data: An Example Using Smiles', 25th International Conference on Neural Information Processing, ICONIP 2018, ed. Cheng L., Leung A., Ozawa S., Springer, Cham, pp. 603-613.
- HOSSAIN, M, Gedeon, T & Sankaranarayana, R 2018, 'Using temporal features of observers' physiological measures to distinguish between genuine and fake smiles [IN PRESS]', IEEE Transactions on Affective Computing, vol. online.
- HOSSAIN, M, Gedeon, T & Islam, A 2018, 'Understanding two graphical visualizations from observer's pupillary responses and neural network', 30th Australian Conference on Computer-Human Interaction, OzCHI 2018, ed. A Morrison, G Buchanan, J Waycott et al, Association for Computing Machinery (ACM), New York, USA, pp. 215-218pp.
- Qin, Z, Gedeon, T, Chen, L et al. 2018, 'Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants', 25th International Conference on Neural Information Processing, ICONIP 2018, ed. Cheng L., Leung A., Ozawa S., Springer, Cham, pp. 299-310.
- Hossain, M & Gedeon, T 2018, 'Observers' physiological measures in response to videos can be used to detect genuine smiles', International Journal of Human-Computer Studies, vol. 122, pp. 232-241.
- Hossain, M, Gedeon, T, Caldwell, S et al 2018, 'Investigating differences in two visualisations from observer's fixations and saccades', 2018 Australasian Computer Science Week Multiconference, ACSW 2018, ACM, New York, NY, USA, pp. 1-4.
- Zhu, X, Qin, Z, Gedeon, T et al 2018, 'Detecting the Doubt Effect and Subjective Beliefs Using Neural Networks and Observers' Pupillary Responses', 25th International Conference on Neural Information Processing, ICONIP 2018, ed. Cheng L., Leung A., Ozawa S., Springer, Cham, pp. 610-621.
- HOSSAIN, M & Gedeon, T 2017, 'Discriminating real and posed smiles: Human and avatar smiles', 29th Australian Computer-Human Interaction Conference, OzCHI 2017, ed. Brereton M.Vyas D.So, ACM, New York, pp. 581-586.
- HOSSAIN, M & Gedeon, T 2017, 'Classifying posed and real smiles from observers' peripheral physiology', 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2017, ed. N Oliver and M Czerwinski, Association for Computing Machinery (ACM), New York, pp. 460-463pp.
- Chen, L, Gedeon, T, Hossain, M et al 2017, 'Are you really angry? detecting emotion veracity as a proposed tool for interaction', 29th Australian Computer-Human Interaction Conference, OzCHI 2017, ed. Brereton M.Vyas D.So, ACM, New York, pp. 412-416pp.
- Hossain, M & Gedeon, T 2017, 'Effect of Parameter Tuning at Distinguishing Between Real and Posed Smiles from Observers' Physiological Features', 24th International Conference on Neural Information Processing, ICONIP 2017, ed. Liu D., Xie S., Li Y., Zhao D., El-Alfy ES., Springer, TBC, pp. 839-850.
- HOSSAIN, M, Gedeon, T & Sankaranarayana, R 2016, 'Observer's Galvanic Skin Response for Discriminating Real from Fake Smiles', Australasian Conference on Information Systems (ACIS 2016), Australasian Conference on Information Systems, Darlinghurst, pp. 8pp.
- HOSSAIN, M, Kabir, M & Shahjahan, M 2016, 'A robust feature selection system with Colin's CCA network', Neurocomputing, vol. 173, no. 3, pp. 855-863.
- Hossain, M, Gedeon, T, Sankaranarayana, R et al. 2016, 'Pupillary Responses of Asian Observers in Discriminating Real from Fake Smiles: A Preliminary Study', Measuring Behaviour 10th International Conference on Methods and Techniques in Behavioural Research, ed. A. Spink, G. Riedel, L. Zhou, L. Teekens, R. Albatal, C. Gurrin, Dublin City University, Dublin Ireland, pp. 170 - 176pp.
- Uddin, M, HOSSAIN, M, Ahmad, M et al. 2014, 'Effects of Caffeinated Beverage Consumption on Electrocardiographic Parameters among Healthy Adults', Modern Applied Science, vol. 8, no. 2, pp. 1913-1852.
- HOSSAIN, M, Kabir, M & Shahjahan, M 2014, 'Feature selection of EEG data with neuro-statistical method', International Conference on Electrical Information and Communication Technology (EICT), IEEE, online, pp. 1-6.
- Rahman, A, Alam, M, HOSSAIN, M et al. 2014, 'Localization of FACTS devices for optimal power flow using Genetic Algorithm', International Conference on Electrical Information and Communication Technology (EICT), IEEE, online, pp. 1-6.
- Enamul Kabir, A, HOSSAIN, M, Rashid, M et al. 2014, 'Extraction of Inherent Frequency Components of Multiway EEG Data Using Two-Stage Neural Canonical Correlation Analysis', Modern Applied Science, vol. 8, no. 1, pp. 164-175.
- Kabir, A, Hasan, H, Rashid, M et al. 2013, 'Resemblance of Rain Fall in Bangladesh with Correlation Dimension and Neural Network Learning', American Journal of Applied Sciences, vol. 10, no. 10, pp. 1172-1180.
- Saleh, A, HOSSAIN, M, Rabin, M et al. 2013, 'A learning system for detecting transformer internal faults', 2013 International Conference on Informatics, Electronics and Vision (ICIEV) , IEEE, online, pp. 1-6.
- HOSSAIN, M, Rabin, M, Uddin, A et al. 2013, 'Canonical correlation analysis with neural network for inter subject variability realization of EEG data', 2013 International Conference on Informatics, Electronics and Vision (ICIEV) , IEEE, online, pp. 1-5.
