Dr. Md Zakir Hossain

-
01/2021 - Current l Research Fellow (Bioprediction) l Agriculture and Food, Machine Learning & Artificial Intelligence Future Science Platforms (MLAI FSP), CSIRO, Canberra, Australia
-
01/2021 - Current l Research Fellow (Bioprediction) l Biological Data Science Institute (BDSI), ANU College of Science, The Australian National University, Canberra, Australia
-
11/2020 - Current l Honorary Lecturer l School of Computing, The Australian National University, Canberra, Australia
-
11/2020 - 01/2021l Postdoctoral Research Fellow l Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia
-
11/2019 - 11/2020 l Research Fellow l Research School of Computer Science, The Australian National University, Canberra, Australia
-
11/2018 - 11/2019 l Postdoctoral Fellow l Research School of Computer Science, The Australian National University, Canberra, Australia
-
03/2015 - 09/2018 l PhD in Computer Science l Research School of Computer Science, The Australian National University, Canberra, Australia
-
07/2014 - 03/2015 l Assistant Professor l Department of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh
-
06/2012 - 07/2014 l Lecturer l Department of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Khulna, 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, Khulna, Bangladesh
-
01/2012 - 06/2012 l Lecturer l Department of Electrical & Electronic Engineering, University of Information Technology & Sciences, Dhaka, Bangladesh
-
01/2007 - 05/2011 l Bachelor of Science in Electrical & Electronic Engineering, Department of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh
Guest Lecturer, 2021:
Co-Convener and Lecturer, 2020:
Lecturer, 2019:
- Networked Information Systems
- Neural Networks, Deep Learning and Bio-inspired Computing
- Human Computer Interface Design and Evaluation
Tutor, since 2015:
- Bioinformatics
- Computer Vision
- Machine Learning
- Human-Centred Computing
- Biological Computing
Complete student projects
Principal investigator
Supervisor
Current student projects
Supervisor
Journal Articles:
-
MM. Hasan, S. Banerjee, MZ. Hossain, "Extraction of sinusoidal components of the vowel stimulated auditory evoked potential using the optimized SSA-ESPRIT method". (Submitted).
-
M. Spiller, YH. Liu, MZ. Hossain, T. Gedeon, J. Geissler, A. Nürnberger, “Predicting Visual Search Task Success from Eye Gaze Data as a Basis for User-Adaptive Information Visualization Systems”, ACM Transactions on Interactive Intelligent Systems, 2021 (Accepted), Link: https://bit.ly/35up8Yu.
-
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.
-
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.
-
MZ. Hossain, MM. Kabir, M. Shahjahan, “A Robust Feature Selection System with Colin’s CCA Network”, Neurocomputing, Elsevier Science, 173(3), 855-863, 2016.
-
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.
-
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.
-
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:
-
Y. Yang, MZ. Hossain, T. Gedeon, S. Rahman, “S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation" (Submitted), arXiv link: https://arxiv.org/abs/2011.14785
-
X. Li, MZ. Hossain, JS. Rahman, T. Gedeon, "Recognising Real and Posed Smiles from Observers' Accelerometer Signals" (Submitted)
-
A. Islam, MZ. Hossain, T. Gedeon, “Measuring Physiological Synchrony of Computerised Cognitive Training and Driving” (Submitted).
-
R. Chen, A. Islam, T. Gedeon, MZ. Hossain, “Observers’ Pupillary Responses in Recognising Real and Posed Smiles: A Preliminary Study”. Australasian Conference on Information Systems (ACIS), Wellington, New Zealand, 2020 (Presented).
-
JS. Rahman, MZ. Hossain, T. Gedeon. “Are paired or single stimuli better to recognize genuine and posed smiles from observers’ GSR?” Australian Conference on Human-Computer Interaction (OzCHI), Online, Australia, 2020.
-
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.
-
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.
-
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.
-
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, LNCS, vol. 12429, pp. 130-149, Copenhagen, Denmark, 2020. DOI: https://doi.org/10.1007/978-3-030-59987-4_10
-
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).
-
JS. Rahman, MZ. Hossain, T. Gedeon. “Measuring Observers’ EDA Responses to Emotional Videos”, Australian Conference on Human-Computer Interaction, Perth, Australia, 2019.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
MZ. Hossain and T. Gedeon, “Discriminating Real and Posed Smiles: Human and Avatar Smiles”, Australian Conference on Human-Computer Interaction, Brisbane, Australia, 2017.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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
-
X. Li, MZ. Hossain, JS. Rahman, "Recognising Real Smiles Can Improve Pervasive Healthcare", ePoster track, Digital Health Week 2021, Sydney, Australia (Accepted).
-
S. Zhao, G. Ferraro, MZ. Hossain, BL. Gee, LS. Carulla, "Multi-task learning using Natural Language Processing to classify online content produced by young people with mental health problems", ePoster track, Digital Health Week 2021, Sydney, Australia (Accepted).
-
R. Cui, E. Daskalaki, MZ. Hossain, C. Nolan, H. Suominen, "Deep Sequence Modelling Algorithms on Type 1 Diabetes Management Data", OHIOH (Our Health in Our Hands) Symposium: PhD Poster Presentations, Canberra, Australia, 2020.
-
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.
-
MZ. Hossain and T. Gedeon, “Is that avatar really smiling or faking it?” Lightening Talk, Australasian Computer Science Week conference, Brisbane, Australia, 2018.
VIRTUAL HLF 2020: Heidelberg Laureate Forum
Research Update: Our Health in Our Hands
Research Page: Research Fellows
Teaching Recognition: CECS Fellows, ANU College of Engineering & Computer Science
Early Career Researcher Showcase 2020: I Can Feel You Are Smiling Happily
Global Young Scientists Summit 2020: GYSS Highlights