Dr. Md Zakir Hossain

  • 11/2019 - Present l Research Fellow (Academic Level B) l Research School of Computer Science, The Australian National University, Australia

  • 11/2018 - 11/2019 l Postdoctoral Fellow (Academic Level A) l Research School of Computer Science, The Australian National University, Australia 

  • 03/2015 - 09/2018 l PhD in Computer Science l Research School of Computer Science, The Australian National University, Australia 

  • 07/2014 - 03/2015 l Assistant Professor l Department of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh 

  • 06/2012 - 07/2014 l Lecturer l Department of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh

  • 07/2012 - 04/2014 l Master of Science in Electrical & Electronic Engineering (Part Time) l Department of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh

  • 01/2012 - 06/2012 l Lecturer l  Department of Electrical & Electronic Engineering, University of Information Technology & Sciences, Bangladesh

  • 01/2007 - 05/2011 l Bachelor of Science in Electrical & Electronic Engineering, Department of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh

 

  • Machine Learning 
  • Human-Robot Interaction 
  • Affective Computing 
  • Predicting Disease Outbreaks 
  • Diabetes, Multiple Sclerosis, and Mental Health 
  • Signal Processing 
  • Cyber Security 
  • Emotion Recognition 

Google Scholar Link: https://bit.ly/2CREur0

Journal Articles:

  1. M. Spiller, YH. Liu, MZ. Hossain, T. Gedeon, J. Geissler, A. Nürnberger, “Predicting Graph Comprehension from Eye Gaze Data as a Basis for User-Adaptive Information Visualization Systems”. (Submitted).

  2. MZ. Hossain, T. Gedeon, R. Sankaranarayana, “Using temporal features of observer’s physiological measures to distinguish between genuine and fake smiles”, IEEE Transaction on Affective Computing, 11(1), 163-173, 2020.

  3. MZ. Hossain and T. Gedeon, “Observers’ physiological measures in response to videos can be used to discriminate genuine from fake Smiles”, International Journal of Human-Computer Studies, 122, 232-241, 2019.

  4. MZ. Hossain, MM. Kabir, M. Shahjahan, “A Robust Feature Selection System with Colin’s CCA Network”, Neurocomputing, Elsevier Science, 173(3), 855-863, 2016.

  5. MB. Uddin, MZ. Hossain, M. Ahmad, N. Ahmed, MA. Rashid, “Effects of Caffeinated Beverage Consumption on Electrocardiographic Parameters among Healthy Adults”, Modern Applied Science, 8(2), 69-77, 2014.

  6. ANME. Kabir, MZ. Hossain, MA. Rashid, WOA. Saifuddin, M. Shahjahan, “Extraction of Inherent Frequency Components of Multiway EEG Data Using Two-Stage Neural Canonical Correlation Analysis”, Modern applied Science, 8(1), 164-175, 2014.

  7. ANME. Kabir, HMI. Hasan, MA. Rashid, A. Azralmukmin, MZ. Hossain, M. Shahjahan, ‘Resemblance of Rain Fall in Bangladesh with Correlation Dimension and Neural Network Learning’, American Journal of Applied Sciences, 10(10), 1172-1180, 2013.

Conference Proceedings:

  1. R. Chen, A. Islam, T. Gedeon, MZ. Hossain, “Observers’ Pupillary Responses in Recognising Real and Posed Smiles: A Preliminary Study”. (Submitted)

  2. JS. Rahman, MZ. Hossain, T. Gedeon. “Are paired or single stimuli better to recognize genuine and posed smiles from observers’ GSR?” (Submitted)

  3. Y. Yang, MZ. Hossain, T. Gedeon, S. Rahman, “RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition”, Asian Conference on Computer Vision (ACCV), Miyakomesse, Kyoto, Japan, 2020 (Accepted). 

  4. S. Seneviratne, E. Daskalaki, A. Lenskiy, MZ. Hossain, “SandiDoc at CLEF 2020 - Consumer Health Search : AdHoc IR Task", Conference and Labs of the Evaluation Forum (CLEF), Thessaloniki, Greece, 2020 (Accepted). 

  5. R. Gao, A. Islam, T. Gedeon, MZ. Hossain, “Identifying Real and Posed Smiles from Observers’ Galvanic Skin Response and Blood Volume Pulse", The 27th International Conference on Neural Information Processing, Bangkok, Thailand, 2020 (Accepted).

  6. YH. Liu, M. Spiller, J. Ma, T. Gedeon, MZ. Hossain, A. Islam, R. Bierig, “User Engagement with Driving Simulators: An Analysis of Physiological Signals”, International Conference on Human-Computer Interaction, Copenhagen, Denmark, 2020 (Presented). 

  7. R. Cui, E. Daskalaki, MZ. Hossain, A. Lenskiy, C. Nolan, H. Suominen, “A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning”, International Congress on Nursing Informatics, Brisbane, Australia, 2020 (Accepted).

  8. JS. Rahman, MZ. Hossain, T. Gedeon. “Measuring Observers’ EDA Responses to Emotional Videos”, Australian Conference on Human-Computer Interaction, Perth, Australia, 2019.

  9. A. Islam, J. Ma, T. Gedeon, MZ. Hossain, YH. Liu, “Measuring User Responses to Driving Simulators: A Galvanic Skin Response Based Study”, IEEE International Conference on Artificial Intelligence and Virtual Reality, San Diego, California, USA, 2019.

  10. JS. Rahman, T. Gedeon, S. Caldwell, R. Jones, MZ. Hossain, X. Zhu, “Melodious Micro-frissons: Detecting Music Genres from Skin Response”, International Joint Conference on Neural Networks, 2019.

  11. MZ. Hossain and T. Gedeon, “An Independent Approach to Training Classifiers on Physiological Data: An Example Using Smiles”, 25th International Conference on Neural Information Processing, LNCS, 11302, 603-613, 2018.

  12. MZ. Hossain, T. Gedeon, A. Islam, “Understanding Two Graphical Visualisations from Observer’s Pupillary Responses and Neural Network”, Australian Conference on Human-Computer Interaction, Melbourne, Australia, 2018.

  13. MZ. Hossain, T. Gedeon, S. Caldwell, L. Copeland, R. Jones, C. Chow, “Investigating Differences in Two Visualisations from Observer’s Fixations and Saccades”, Australasian Computer Science Week conference, Brisbane, Australia, 2018.

  14. X. Zhu, Z. Qin, T. Gedeon, R. Jones, MZ. Hossain, S. Caldwell, “Detecting the Doubt Effect and Subjective Beliefs using Neural Networks and Observers’ Pupillary Responses”, 25th International Conference on Neural Information Processing, LNCS, 11304, 610 – 621, 2018.

  15. Z. Qin, T. Gedeon, L. Chen, X. Zhu, MZ. Hossain, “Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants”, 25th International Conference on Neural Information Processing, 11304, 299 – 310, 2018.

  16. L. Chen, T. Gedeon, MZ. Hossain, S. Caldwell, “Are you really angry? Detecting emotion veracity as a proposed tool for interaction”, 29th Australian Conference on Human-Computer Interaction, Brisbane, Australia, 2017.

  17. MZ. Hossain and T. Gedeon, “Discriminating Real and Posed Smiles: Human and Avatar Smiles”, Australian Conference on Human-Computer Interaction, Brisbane, Australia, 2017.

  18. MZ. Hossain and T. Gedeon, “Effect of Parameter Tuning at Distinguishing between Real and Posed Smiles from Observers’ Physiological Features”, International Conference on Neural Information Processing, LNCS, 10637, 839-850, 2017.

  19. MZ. Hossain and T. Gedeon, “Classifying Posed and Real Smiles from Observers’ Peripheral Physiology”, International Conference on Pervasive Computing Technologies for Healthcare, Barcelona, Spain, 2017.

  20. MZ. Hossain, T. Gedeon, R. Sankaranarayana, D. Apthorp, A. Dawel, “Pupillary Responses of Asian Observers in Discriminating Real from Fake Smiles: a Preliminary Study”, 10th International Conference on Methods and Techniques in Behavioral Research, Dublin, Ireland, 2016.

  21. MZ. Hossain, T. Gedeon, R. Sankaranarayana, “Observer’s Galvanic Skin Response for Discriminating Real from Fake Smiles”, 27th Australasian Conference on Information Systems, Wollongong, Australia, 2016.

  22. MZ. Hossain, MM. Kabir, M. Shahjahan, “Feature Selection of EEG data with Neuro-Statistical Method”, International Conference on Electrical Information and Communication Technology, Khulna, Bangladesh, 2014.

  23. AKMR. Rahman, MS. Alam, MZ. Hossain, M. Shahjahan, “Localization of FACTS Devices for Optimal Power Flow Using Genetic Algorithm”, International Conference on Electrical Information and Communication Technology, Khulna, Bangladesh, 2014.

  24. AM. Saleh, MZ. Hossain, MJA. Rabin, ANME. Kabir, MFE. Khan, M. Shahjahan, “A Learning System for Detecting Transformer Internal Faults”, International Conference on Informatics, Electronics & Vision, Dhaka, Bangladesh, 2013.

  25. MZ. Hossain, MJA. Rabin, AFMN. Uddin, M. Shahjahan, “Canonical correlation analysis with neural network for inter subject variability realization of EEG data”, International Conference on Informatics, Electronics & Vision, Dhaka, Bangladesh, 2013.

Additional Research Outputs

  1. H. Suominen, D. Apthorp, A. Brüstle, M. Cook, J. Desborough, MZ. Hossain, C. Lueck, K. Murugappan, C. Nolan, C. Pugmire, A. Tricoli, N. Yang, “Innovative machine Intelligence and cybersecurity solutions to safeguard the patient information associated with a new generation of medical devices”. 8th Annual NHMRC Symposium on Research Translation, Melbourne, VIC, Australia, 2019.

  2. MZ. Hossain and T. Gedeon, “Is that avatar really smiling or faking it?” Lightening Talk, Australasian Computer Science Week conference, Brisbane, Australia, 2018.


 

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