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Dr Md Zakir Hossain

Zakir
Honorary Lecturer
Visiting Fellow

RN Robertson Building, Biological Data Science Institute (BDSI), ANU College of Science

» read more about Dr Md Zakir Hossain

  • 01/2023 - Current l Senior Research Fellow  l Optus-Curtin Centre of Excellence in AI, School of Electrical Electrical Engineering, Computing and Mathematical Sciences (EECMS), Curtin University, Perth, Australia
  • 02/2023 - Current l Visiting Fellow  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
  • 01/2021 - 01/2023 l Visiting Scientist l Bioprediction activity, Agriculture and Food, Machine Learning & Artificial Intelligence Future Science Platforms, CSIRO, Canberra
  • 01/2021 - 01/2023 l Research Fellow  l Biological Data Science Institute (BDSI), ANU College of Science, 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
  • Bioinformatics 
  • Computer Vision
  • Machine Learning 
  • Human-Centred Computing
  • Biological Computing 

 Google Scholar l ORCID

Journal Articles:

  1. Y. Shen, MZ. Hossain, S. Rahman, KA. Ahmed, " An open set model for pest identification" (Submitted).

  2. HS. Mondal, KA. Ahmed, N. Birbilis, MZ. Hossain, “Machine Learning for Detecting DNA Attachment on SPR biosensor” (Submitted).

  3. MM. Hasan, S. Banerjee, MZ. Hossain, "Extraction of sinusoidal components of the vowel stimulated auditory evoked potential using the optimized SSA-ESPRIT method" (Submitted).

  4. X. Liu, MR. Hasan, KA. Ahmed, MZ. Hossain, "Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis", BMC Bioinformatics, 24(7), 2023.

  5. MAR. Khan, M. Rostov, JS. Rahman, KA. Ahmed, MZ. Hossain, "Assessing the Applicability of Machine Learning Models for Robotic Emotion Monitoring: A Survey", Applied Sciences 13(1):387, 2023. 

  6. MZ. Hossain, E. Daskalaki, A. Brustle, J. Desborough, CJ. Lueck, H. Suominen, "The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review", BMC Medical Informatics and Decision Making, 22(1):242, 2022. 

  7. MR. Hasan, MM. Hasan, MZ. Hossain, "Effect of Vocal-tract Dynamics on Deep Neural Network-based Speech Recognition: A Bengali Language-based Study", Expert Systems, e13045, 2022. 

  8. X. Wei,  MZ. Hossain, KA. Ahmed, "A ResNet Attention Model for Classifying Mosquitos from Wing-beating Sounds", Scientific Reports, 12(10334), 2022.

  9. E. Daskalaki, A. Parkinson, N. Brew-Sam, MZ. Hossain, D. O'Neal, CJ. Nolan, H. Suominen, "The potential of current non-invasive wearable technology for monitoring of physiological signals in the management of type 1 diabetes: a literature survey", Journal of Medical Internet Research, 24(4): e28901, 2022.

  10. MR. Hasan, MM. Hasan, MZ. Hossain, "How many mel-frequency cepstral coefficients to be utilized in speech recognition? A study with the Bengali language", The Journal of Engineering, 1-11, 2021. 

  11. 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.

  12. 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.

  13. 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.

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

  15. 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.

  16. 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.

  17. 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. Y. Yang, MZ. Hossain, EA. Stone, S. Rahman, "Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction". In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 5039-5048, 2023.

  2. M. Faroque, Y. Yang, MZ. Hossain, SM Naim, N. Mohammed, S. Rahman, "Less is More: Facial Landmarks can Recognize a Spontaneous Smile", The 33rd British Machine Vision Conference (BMVC), London, UK, 2022.

  3. JS. Lam, MR. Hasan, KA. Ahmed, MZ Hossain, "Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease", 14th Asian Conference on Intelligent Information and Database Systems, Ho Chi Minh City, Vietnam, 2022. 

  4. J. Deng, MR. Hasan, M. Mahmud, MM. Hasan, KA. Ahmed, MZ. Hossain, "Diagnosing Autism Spectrum Disorder using Ensemble 3D-CNN: A Preliminary Study", IEEE International Conference in Image Processing (ICIP), Bordeaux, France, 2022.

  5. A. Qin, MR. Hasan, KA. Ahmed, MZ. Hossain, "Machine Learning for Predicting Cancer Severity Levels", IEEE International Conference on Healthcare Informatics (ICHI), Rochester, Minnesota, USA June 11th-14th, 2022. 

  6. MAR. Khan, KA Ahmed, MZ. Hossain, "Machine Learning to Predict Rapeseed Traits from RNA-seq Data", Workshop on Edge AI for Smart Agriculture, pp. 136-145, Biarritz, France, 2022. 

  7. MR. Hasan, MM. Hasan, MZ. Hossain, "Outcomes of Deep Neural Network Hyperparameter Tuning on Bengali Speech Token Classification", International Conference on Innovations in Science, Engineering and Technology (ICISET), pp. 445-450, Cittagong, Bangladesh, 2022. 

  8. F. Wu, MR. Hasan, MZ. Hossain, “An Evolutionary-Based Neural Network for Distinguishing between Genuine and Posed Anger from Observers' Pupillary Responses", 14th International Conference on Agents and Artificial Intelligence (ICAART), pp. 653-661, Online, 2022.

  9. Y. Yang, MZ. Hossain, T. Gedeon, S. Rahman, “S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation", Winter Conference on Applications of Computer Vision, pp. 1269-1278, Waikoloa, Hawaii, USA, 2022. 

  10. Y. Liu, Y. Yang, MZ. Hossain, "FSE: A powerful feature augmentation technique for classification task", The 28th International Conference on Neural Information Processing, LNCS, volume 13109, pp 645-653, Bali, Indonesia, 2021.

  11. Y. Zhang, Y. Yao, MZ. Hossain, S. Rahman, T. Gedeon, "EEG Feature Significance Analysis", The 28th International Conference on Neural Information Processing, CCIS, volume 1517, pp 212-220, Bali, Indonesia, 2021.

  12. MZ. Hossain, MB. Uddin, Y. Yang, KA. Ahmed, “CovidEnvelope: An Automated Fast Approach to Diagnose COVID-19 from Cough Signals”, 8th IEEE Conference on Computer Science and Data Engineering (CSDE), Brisbane, Australia, 2021.

  13. X. Li, MZ. Hossain, JS. Rahman, "Distinguishing Between Real and Posed Smiles from Observers' Accelerometer Signals", 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 2021. 

  14. A. Islam, MR. Hasan, MZ. Hossain, MM. Hasan, "The Eigenvalue Distribution of Hankel Matrix: A Tool for Spectral Estimation from Noisy Data", 24th International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2021. 

  15. J. Yoo,  MZ. Hossain, KA. Ahmed, "A Machine Learning based approach to study morphological features of bees", International Electronic Conference on Entomology, MDPI, 2021. Available: https://sciforum.net/paper/view/10607 

  16. Y. Shen, MZ. Hossain, S. Rahman, KA. Ahmed, "Systematics of Tephritid Fruit Flies: A machine learning based pest identification system", International Electronic Conference on Entomology, MDPI, 2021. Available: https://sciforum.net/paper/view/10400 

  17. M. Rostov, MZ. Hossain, JS. Rahman, “Robotic Emotion Monitoring for Mental Health Applications: Preliminary Outcome of a Survey” IFIC TC13 International Conference on Human-Computer Interaction, Lecture Notes in Computer Science, vol 12936. Springer, Cham. pp 481-485, 2021.

  18. Y. Zhang, MZ. Hossain, S. Rahman, “DeepVANet: A Deep End-to-End Network for Multi-modal Emotion Recognition", IFIC TC13 International Conference on Human-Computer Interaction,  Lecture Notes in Computer Science, vol 12936. Springer, Cham. pp 227-237, 2021.

  19. 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.

  20. 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.

  21. 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. 

  22. 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. 

  23. 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.

  24. 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.virtual.anu.edu.au/10.1007/978-3-0...

  25. 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.

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

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

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

  36. 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.

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. 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.

  42. 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.

  43. 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. MZ. Hossain, J. Hyles, J. A. Broadbent, K. Ramm, A. Gock, T. Coram and S. Dillon, "Machine Learning to Predict Wheat Yield Component Traits from the field", Wheat Breeding in Australia (WBA), Narrabri, Australia 2022 (Accepted). Link: Wheat Breeding Assembly (eventsair.com)

  2. MZ. Hossain, J. Hyles, J. A. Broadbent, and S. Dillon, "CNN for Prediction of Yield Component Traits in Wheat from Transcriptome Data", Symposium on Integrated Systems Biology, Dutton Park QLD, Australia, 2022. Link: Posters – Symposium on Integrated Systems Biology (csiro.au)

  3. X. Wei,  MZ. Hossain, KA. Ahmed, "How unique is wing-beating sound? Classifying mosquitoes from wing-beating sounds", International Electronic Conference on Entomology, MDPI, 2021. Available: https://sciforum.net/paper/view/10504.

  4. X. Li, MZ. Hossain, JS. Rahman, "Recognising Real Smiles Can Improve Pervasive Healthcare", ePoster track, Digital Health Week 2021, Sydney, Australia. 

  5. 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.  

  6. 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. 

  7. 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.

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



 


  


  
  



  
      
  
  

    

        
  
  
  
      

          

      
  
    
      

 

   
Mr Jinshuai Ma »

  
Honours Student



  
    

      

  
  
  
  
      

      

        
  
  
  
  
  
  
  
  
  

    

  
  

  


  
  



  
      
  
  

    
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


CSIRO’s Machine Learning and Artificial Intelligence Future Science Platform annual conference 2022: MARS 2022


 


  


  
  



    

  



  





  





	

		

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