Dr Thanh Thi Nguyen

STAFF PROFILE

Position

Senior Lecturer, Information Technology (AI)

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Biography

Dr Thanh Thi Nguyen is a leading researcher in Australia in the field of Artificial Intelligence, recognized by The Australian Newspaper in a report published in 2018:

https://specialreports.theaustralian.com.au/1163512/engineering-computer-science/

Dr Nguyen was a Visiting Scholar with the Computer Science Department at Stanford University, California, USA in 2015 and the Edge Computing Lab, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Massachusetts, USA in 2019. He received an Alfred Deakin Postdoctoral Research Fellowship in 2016 and a European-Pacific Partnership for ICT Expert Exchange Programme Award from European Commission in 2018. Dr Nguyen obtained a PhD in Mathematics and Statistics from Monash University, Australia and has expertise in artificial intelligence, deep learning, deep reinforcement learning, soft computing, data science, big data, econometrics, time series, signal processing, image processing, multi-agent systems, and operational research. He has domain knowledge in various areas, including robotics, autonomous vehicles, defence technologies, cyber security, IoT, neuroscience, bioinformatics, health informatics, geoinformatics, remote sensing, business statistics, and financial technologies.

Read more on Thanh Thi's profile

Career highlights

6/2019: Visiting Scholar at the Edge Computing Lab, Harvard University, Cambridge, Massachusetts, USA.

12/2018 - present: Senior Lecturer/Senior Research Fellow, School of Information Technology/Institute for Intelligent Systems Research and Innovation, Deakin University, Australia.

10/2018: Visiting Scholar at Centre for Engagement and Simulation Science, Department of Surgery and Cancer, Imperial College London, UK.

9/2018: Guest Scientist at Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI GmbH), Bremen, Germany.

7/2015 - 10/2015: Visiting Scholar at the Computer Science Department, Stanford University, California, USA.

12/2012 - 12/2018: Lecturer/Research Fellow, Institute for Intelligent Systems Research and Innovation, Deakin University, Australia.

1/2011 - 12/2012: Teaching Associate, Department of Econometrics & Business Statistics, and Clayton School of Information Technology, Monash University, Australia.

2010 - 2013: PhD Candidate, Department of Econometrics & Business Statistics, Monash University, Clayton, Victoria, Australia.

Research interests

  • Artificial Intelligence, Deep Learning, Deep Reinforcement Learning
  • Data Science, Big Data, Cyber Security, IoT, Image Processing, Robotics
  • Autonomous Vehicles, Multi-Agent Systems, Human-Machine Integration, Defence Technologies

Units taught

Master's Degree:

  • SIT717 - Enterprise Business Intelligence
  • SIT718 - Real World Analytics
  • SIT720 - Machine Learning

Professional activities

Awards

  • Australia–India Strategic Research Fund Early- and Mid-Career Fellowship Awarded by The Australian Academy of Science (2020)
  • European-Pacific Partnership for ICT (EPIC) Expert Exchange Program Award from European Commission (2018)
  • ON Prime Grant Awarded by Commonwealth Scientific and Industrial Research Organisation (CSIRO) (2017)
  • Alfred Deakin Postdoctoral Research Fellowship Awarded by Deakin University (2016 - 2017)
  • Deakin Central Research Grants Scheme (CRGS) Awarded by Deakin University (2015)
  • Monash Graduate Research (MGR) PhD Scholarship Awarded by Monash University (2010 - 2013)
  • Business and Economics Faculty Postgraduate Research Scholarship (FPRS) Awarded by Monash University (2010 - 2013)

Publications

Filter by

2020

Deep reinforcement learning for multiagent systems: a review of challenges, solutions, and applications

T Nguyen, N Nguyen, S Nahavandi

(2020), pp. 1-14, IEEE transactions on cybernetics, Piscataway, N.J., C1

journal article
2019

Seeded transfer learning for regression problems with deep learning

S Salaken, A Khosravi, T Nguyen, S Nahavandi

(2019), Vol. 115, pp. 565-577, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

Multi-agent behavioral control system using deep reinforcement learning

N Nguyen, T Nguyen, S Nahavandi

(2019), Neurocomputing, Amsterdam, The Netherlands, C1

journal article

A hybrid supervised approach to human population identification using genomics data

Sahar Araghi, Thanh Nguyen

(2019), pp. 1-12, IEEE/ACM transactions on computational biology and bioinformatics, Piscataway, N.J., C1

journal article

Multi-agent deep reinforcement learning with human strategies

Thanh Nguyen, Ngoc Nguyen, S Nahavandi

(2019), 2019 IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia, E1

conference

A new tensioning method using deep reinforcement learning for surgical pattern cutting

T Nguyen, N Nguyen, F Bello, S Nahavandi

(2019), Vol. 2019-February, pp. 1339-1344, ICIT 2019 : IEEE International Conference on Industrial Technology, Melbourne, Victoria, E1

conference

Manipulating soft tissues by deep reinforcement learning for autonomous robotic surgery

N Nguyen, T Nguyen, S Nahavandi, A Bhatti, G Guest

(2019), pp. 1-7, SysCon 2019 : Proceedings of the 2019 IEEE International Systems Conference, Orlando, Florida, E1

conference

A GA-based pruning fully connected network for tuned connections in deep networks

A Khatami, P Kebria, S Jalali, A Khosravi, A Nazari, M Shamszadeh, T Nguyen, S Nahavandi

(2019), pp. 3492-3497, IEEE SMC 2019 : Proceedings of the 2019 IEEE International Conference on Systems, Man, and Cybernetics, Bari, Italy, E1

conference
2018

A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval

A Khatami, M Babaie, H Tizhoosh, A Khosravi, T Nguyen, S Nahavandi

(2018), Vol. 100, pp. 224-233, Expert systems with applications, Amsterdam, The Netherlands, C1-1

journal article

A review on cluster estimation methods and their application to neural spike data.

J Zhang, T Nguyen, S Cogill, A Bhatti, L Luo, S Yang, S Nahavandi

(2018), Vol. 15, pp. 1-18, Journal of neural engineering, London, Eng., C1-1

journal article

A fresh look at functional link neural network for motor imagery-based brain-computer interface

I Hettiarachchi, T Babaei, T Nguyen, C Lim, S Nahavandi

(2018), Vol. 305, pp. 28-35, Journal of neuroscience methods, Amsterdam, The Netherlands, C1-1

journal article

Classification of multi-class BCI data by common spatial pattern and fuzzy system

T Nguyen, I Hettiarachchi, A Khatami, L Gordon-Brown, C Lim, S Nahavandi

(2018), Vol. 6, pp. 27873-27884, IEEE Access, Piscataway, N.J., C1-1

journal article

A soft computing fusion for river flow time series forecasting

T Nguyen, N Nguyen, S Nahavandi, S Salaken, A Khatami

(2018), pp. 1-7, FUZZ-IEEE 2018 : IEEE International Conference on Fuzzy Systems, Rio de Janeiro, Brazil, E1-1

conference

Semi-supervised transfer learning with genetic algorithm tuned transformation and novel label transfer mechanism

S Salaken, A Khosravi, T Nguyen, S Nahavandi

(2018), pp. 906-911, SMC 2018 : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1

conference

A human mixed strategy approach to deep reinforcement learning

N Nguyen, S Nahavandi, T Nguyen

(2018), pp. 4023-4028, SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1

conference
2017

Medical image analysis using wavelet transform and deep belief networks

S Khatami, A Khosravi, T Nguyen, C Lim, S Nahavandi

(2017), Vol. 86, pp. 190-198, Expert systems with applications, Amsterdam, The Netherlands, C1-1

journal article

Extreme learning machine based transfer learning algorithms: a survey

S Salaken, A Khosravi, T Nguyen, S Nahavandi

(2017), Vol. 267, pp. 516-524, Neurocomputing, Amsterdam, The Netherlands, C1-1

journal article

Output uncertainty score for decision making processes using interval type-2 fuzzy systems

S Salaken, A Khosravi, T Nguyen, S Nahavandi

(2017), Vol. 65, pp. 159-167, Engineering applications of artificial intelligence, Amsterdam, The Netherlands, C1-1

journal article

System design perspective for human-level agents using deep reinforcement learning: a survey

N Nguyen, T Nguyen, S Nahavandi

(2017), Vol. 5, pp. 27091-27102, IEEE Access, Piscataway, N.J., C1-1

journal article

Modelling RNA-seq read counts by grey relational analysis

T Nguyen, S Nahavandi

(2017), pp. 4293-4298, SMC 2016 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, E1-1

conference

Multiclass EEG data classification using fuzzy systems

T Nguyen, I Hettiarachchi, A Khosravi, S Salaken, A Bhatti, S Nahavandi

(2017), pp. 1-6, FUZZ-IEEE 2017 : Proceedings of the IEEE International Conference on Fuzzy Systems, Naples, Italy, E1-1

conference
2016

Portfolio selection under higher moments using fuzzy multi-objective linear programming

T Nguyen

(2016), Vol. 30, pp. 2139-2156, Journal of intelligent and fuzzy systems, Amsterdam, The Netherlands, C1

journal article

Modified AHP for gene selection and cancer classification using type-2 fuzzy logic

T Nguyen, S Nahavandi

(2016), Vol. 24, pp. 273-287, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

journal article

Unified selective sorting approach to analyse multi-electrode extracellular data

R Veerabhadrappa, C Lim, T Nguyen, M Berk, S Tye, P Monaghan, S Nahavandi, A Bhatti

(2016), Vol. 6, pp. 1-16, Scientific reports, London, Eng., C1

journal article

RNA-seq count data modelling by grey relational analysis and nonparametric Gaussian process

T Nguyen, A Bhatti, S Yang, S Nahavandi

(2016), Vol. 11, PLoS ONE, E1-1

conference

RNA-seq data analysis using nonparametric Gaussian process models

T Nguyen, S Nahavandi, D Creighton, A Khosravi

(2016), pp. 5087-5093, IJCNN 2016 : Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, E1-1

conference
2015

Classification of healthcare data using genetic fuzzy logic system and wavelets

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 42, pp. 2184-2197, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

EEG data classification using wavelet features selected by Wilcoxon statistics

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 26, pp. 1193-1202, Neural computing and applications, Berlin, Germany, C1

journal article

EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 42, pp. 4370-4380, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

Fuzzy portfolio allocation models through a new risk measure and fuzzy sharpe ratio

T Nguyen, L Gordon-Brown, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 23, pp. 656-676, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

journal article

Medical data classification using interval type-2 fuzzy logic system and wavelets

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 30, pp. 812-822, Applied soft computing, Amsterdam, The Netherlands, C1

journal article

Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 10, pp. 1-23, PLoS one, San Francisco, Calif., C1

journal article

Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes

T Nguyen, A Bhatti, A Khosravi, S Haggag, D Creighton, S Nahavandi

(2015), Vol. 153, pp. 199-210, Neurocomputing, Amsterdam, The Netherlands, C1

journal article

A novel aggregate gene selection method for microarray data classification

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 60-61, pp. 16-23, Pattern recognition letters, Amsterdam, The Netherlands, C1

journal article

Fuzzy system with tabu search learning for classification of motor imagery data

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 20, pp. 61-70, Biomedical signal processing and control, C1

journal article

Hidden Markov models for cancer classification using gene expression profiles

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 316, pp. 293-307, Information sciences, Amsterdam, The Netherlands, C1

journal article

Multi-output interval type-2 fuzzy logic system for protein secondary structure prediction

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 23, pp. 735-760, International journal of uncertainty, fuzziness and knowlege-based systems, Singapore, C1

journal article

Mass spectrometry cancer data classification using wavelets and genetic algorithm

T Nguyen, S Nahavandi, D Creighton, A Khosravi

(2015), Vol. 589, pp. 3879-3886, FEBS letters, Amsterdam, The Netherlands, C1

journal article

EEG signal analysis for BCI application using fuzzy system

T Nguyen, S Nahavandi, A Khosravi, D Creighton, I Hettiarachchi

(2015), Vol. 2015-September, pp. 1-8, IJCNN 2015: Proceedings of the 2015 International Joint Conference on Neural Networks, Killarney, Ireland, E1

conference

Statistical modelling of artificial neural network for sorting temporally synchronous spikes

R Veerabhadrappa, A Bhatti, C Lim, T Nguyen, S Tye, P Monaghan, S Nahavandi

(2015), Vol. 9491, pp. 261-272, 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III, Istanbul, Turkey, E1

conference

Multivariate adaptive autoregressive modeling and kalman filtering for motor imagery BCI

I Hettiarachchi, T Nguyen, S Nahavandi

(2015), pp. 3164-3168, SMC 2015 : Big Data Analytics for Human-Centric Systems. Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, China, E1

conference

Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system

T Nguyen, S Nahavandi, A Khosravi, D Creighton

(2015), pp. 1-8, UZZ-IEEE 2015: Proceedings of the IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, E1

conference
2014

Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction

I Hettiarachchi, T Nguyen, S Nahavandi

(2014), Vol. 8836, pp. 519-526, Lecture Notes in Computer Science, Kuching, Malaysia, B1

book chapter

Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2014), Vol. 238, pp. 43-53, Journal of neuroscience methods, Amsterdam, Netherlands, C1

journal article

From ranking fuzzy numbers to solving fuzzy linear programming: a comprehensive review

T Nguyen

(2014), Vol. 5, pp. 219-235, International journal of computing science and mathematics, Olney, Eng., C1

journal article

Selection of the right risk measures for portfolio allocation

Thanh Nguyen

(2014), Vol. 7, pp. 135-156, International journal of monetary economics and finance, Olney, England, C1

journal article

Neural signal analysis by landmark-based spectral clustering with estimated number of clusters

T Nguyen, A Khosravi, A Bhatti, D Creighton, S Nahavandi

(2014), pp. 4042-4049, IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China, E1

conference

Medical diagnosis by fuzzy standard additive model with wavelets

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2014), pp. 1937-1944, FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, Beijing, China, E1

conference

Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2014), pp. 1123-1130, Proceedings of the 2014 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE 2014, Beijing, China, E1

conference

Classification of neural action potentials using mean shift clustering

T Nguyen, A Khosravi, I Hettiarachchi, D Creighton, S Nahavandi

(2014), pp. 1247-1252, SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, E1

conference

Solving fuzzy programming with a consistent fuzzy number ranking

T Nguyen, V Lee, A Khosravi, D Creighton, S Nahavandi

(2014), pp. 551-556, SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, E1

conference
2013

Epidemiological dynamics modeling by fusion of soft computing techniques

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2013), Proceedings of the International Joint Conference on Neural Networks, E1

conference

Neural network and interval type-2 fuzzy system for stock price forecasting

T Nguyen, A Khosravi, S Nahavandi, D Creighton

(2013), IEEE International Conference on Fuzzy Systems, E1

conference
2012

Constrained fuzzy hierarchical analysis for portfolio selection under higher moments

T Nguyen, L Gordon-Brown

(2012), Vol. 20, pp. 666-682, IEEE Transactions on Fuzzy Systems, C1-1

journal article

Combining cohort analysis and monitoring of HIV early-warning indicators of drug resistance to assess antiretroviral therapy services in Vietnam

T Do, T Nguyen, M Do, K Masaya, T Dang, T Pham, K Yoshikawa, T Cao, T Nguyen, D Bui, V Nguyen, T Nguyen, M Fujita

(2012), Vol. 54, pp. S306-S312, Clinical Infectious Diseases, Oxford, Eng., C1-1

journal article
2010

Financial time series prediction in cooperating with event knowledge: A fuzzy approach

D Sang, D Woo, D Park, T Nguyen

(2010), Vol. 6438 LNAI, pp. 406-417, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

Standard additive fuzzy system for stock price forecasting

S Do, T Nguyen, D Woo, D Park

(2010), Vol. 5991 LNAI, pp. 279-288, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

Smoothing supervised learning of neural networks for function approximation

T Nguyen

(2010), pp. 104-109, Proceedings - 2nd International Conference on Knowledge and Systems Engineering, KSE 2010, E1-1

conference
2009

Morphological change at the Snowy River ocean entrance, Victoria, Australia (1851-2008)

P Wheeler, T Nguyen, J Peterson, L Gordon-Brown

(2009), Vol. 40, pp. 1-28, Australian geographer, Abingdon, England, C1-1

journal article

Indexing PostGIS databases and spatial Query performance evaluations

T Nguyen

(2009), Vol. 5, pp. 1-9, International Journal of Geoinformatics, C1-1

journal article

GA-SVM based framework for time series forecasting

N Thi, G Lee, P Wheeler, J Peterson

(2009), Vol. 1, pp. 493-498, 5th International Conference on Natural Computation, ICNC 2009, E1-1

conference
2008

Factors associated with inconsistent condom use among female sex workers in Nha Trang, Vietnam

T Mai, C Le, T Nguyen

(2008), Vol. 20, pp. 370-378, Asia-Pacific Journal of Public Health, C1-1

journal article

The optimal rule structure for Fuzzy systems in function approximation by hybrid approach in learning process

T Nguyen, L Gordon-Brown, J Peterson

(2008), pp. 1211-1216, 2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008, E1-1

conference

Enhancing the performance of the fuzzy system approach to prediction

T Thi, J Peterson

(2008), Vol. 1, pp. 259-265, Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, E1-1

conference

Funded Projects at Deakin

Other Public Sector Funding

Critical Review and Forecast - Modelling and Simulation of Dynamic Military Environments Using Machine Learning with Autonomy, Trust and Uncertainty

Prof Saeid Nahavandi, Prof Chee Peng Lim, Dr Lei Wei, Dr Thanh Thi Nguyen, Dr Hailing Zhou

  • 2016: $131,159

Analysis of factors influencing electrical network-related incidents.

Dr Thanh Thi Nguyen

  • 2020: $10,000

Industry and Other Funding

Improving Decision Making In Self-adaptive Systems Using Reinforcement Learning.

A/Prof Mohamed Abdelrazek, Dr Thanh Thi Nguyen

  • 2020: $122,886

Supervisions

Associate Supervisor
2018

Syed Moshfeq Salaken

Thesis entitled: Solving Computational Bottleneck of Interval Type-2 Fuzzy Systems

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation