Dr Thanh Thi Nguyen

STAFF PROFILE

Position

Visitor

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Biography

Dr Thanh Thi Nguyen has been a leading researcher in Australia in the field of Artificial Intelligence, recognized by The Australian's Research Magazine in a report published in 2018. He has been ranked among the world's top 2% scientists in the single year impact list of 20192020 and 2021 by Elsevier B.V. and Stanford University.

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, a European-Pacific Partnership for ICT Expert Exchange Program Award from the European Commission in 2018, and an Australia–India Strategic Research Fund Early- and Mid-Career Fellowship from the Australian Academy of Science in 2020. Dr Nguyen obtained a PhD in Mathematics and Statistics from Monash University, Australia and has expertise in artificial intelligence, deep learning, reinforcement learning, soft computing, data science, big data, econometrics, time series, signal processing, image processing, computer vision, multi-agent systems, and operational research. He has domain knowledge in various areas, including robotics, autonomous vehicles, defence technologies, cybersecurity, 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.

3/2011 - 11/2012: 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, Signal & Image Processing, Computer Vision, Big Data
  • Data Science, Natual Language Processing, Health Informatics, Cybersecurity, IoT, Human-Machine Interaction
  • Deep Reinforcement Learning, Robotics, Autonomous Machines, Multi-Agent Systems, Defence Technologies

Units taught

Master's Degree:

  • SIT706 - Cloud Computing
  • SIT717 - Enterprise Business Intelligence
  • SIT718 - Real World Analytics
  • SIT720 - Machine Learning
  • SIT723 - Research Training and Project
  • SIT724 - Research Project
  • SIT740 - Research and Development in Information Technology
  • SIT796 - Reinforcement Learning

Bachelor's Degree:

  • SIT113/233 - Cloud Computing

Professional activities

  • TPC of the 20th Pacific Rim Int. Conf. on AI (PRICAI), Nov 2023.
  • Program Chair of EAI Int. Conf. on AI for CyberSecurity (AICSEC), Oct 2023.
  • TPC of the 32nd Int. Joint Conf. on AI (IJCAI), Aug 2023.
  • Invited speaker, "AI for the Metaverse" at Deakin AI Festival, Jun 2023.
  • Editorial Board Member of Artificial Intelligence Advances, Feb 2023.
  • Publicity & Social Media Committee of 16th Int. Conf. on Advanced Computing and Analytics (ACOMPA), Nov 2022.
  • Guest Editor of Special Issue "Advances in AI for Cyber Security", Sensors Journal, Jun 2022.
  • Keynote speaker, "Applications of AI in the Battle against COVID-19" at 15th Int. Conf. on Advanced Computing and Applications (ACOMP), Nov 2021.
  • Keynote speaker, "Research Directions in AI for Fighting COVID-19" at Deakin School of IT HDR Annual Conf., Nov 2021.
  • Invited talk at Int. Webinar "AI: Opportunities and Challenges" at Center for AI and Technology, National University of Malaysia, Oct 2021.
  • Organising Committee Member of 2021 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC).
  • Invited talk at Monash Faculty of IT, "Human strategies to coordinate multiple deep RL agents", Mar 2021.
  • Guest Editor of Special Issue "Deep RL: Methods and Applications", Electronics Journal, Oct 2020.
  • Invited talk at Ericsson Company, Chennai, India, "Deep RL and Its Applications", Jul 2020.
  • Presenter of the Tutorial "Advances in Deep RL", 2020 IEEE World Congress on Computational Intelligence (WCCI).
  • Organizer of Special Session "Methods and Applications of Deep RL to Autonomous Systems", 2020 IEEE Int. Joint Conf. on Neural Networks (IJCNN).
  • Invited tutorial, IIT-Kanpur, "Implementing deep RL with OpenAI Gym", Mar 2020.
  • Invited talk, IIT-Roorkee, "Multi-objective deep RL", Mar 2020.
  • Invited talk, IIT-Madras, "Recent advances in deep RL", Feb 2020.
  • Co-Chair of AI & Big Data Analytics Track at the 9th and 10th Int. Symposium on Information and Communication Technology, Dec 2018 and 2019.
  • Invited talk at German Research Center for AI (DFKI GmbH), "Deep RL for Human-Level Agents", Sep 2018.
  • TPC Member of IEEE Int. Conf. on SMC, 2016, 2017, 2019.
  • Invited talk at IEEE Victorian Chapter Workshop on "Advanced ML for Big Data Analytics", Dec 2015.

Media appearances

Scipothesis: Uncover how discoveries in the lab could shape our lives in the future, "Episode 01: Deepfakes".

The Wired UK Magazine, "In the battle against deepfakes, AI is being pitted against AI".

The Australian Newspaper, "Engineering & Computer Science: Australia’s Research Field Leaders".

The Australian Academy of Science, "Australia–India Strategic Research Fund Early- and Mid-Career Fellowships 2020".

Deakin University, "Careers in AI: inspiring jobs in artificial intelligence".

Awards

  • Deakin University Vice-Chancellor's 10 Years Service Milestone Award, December 2022.
  • Best Paper Award at the 2022 International Conference on Artificial Intelligence, Security and Communication (AISC) (2022)
  • Australia–India Strategic Research Fund Early- and Mid-Career Fellowship Awarded by the Australian Academy of Science (2020)
  • One of the Most Popular Articles in the IEEE Transactions on Cybernetics since September 2020
  • One of the Best Deep Reinforcement Learning Research Papers of 2019 by the Open Data Science Conference (ODSC)
  • European-Pacific Partnership for ICT (EPIC) Expert Exchange Program Award by the European Commission (2018)
  • ON Prime Award by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) (2017)
  • Alfred Deakin Postdoctoral Research Fellowship Awarded by Deakin University (2016 - 2017)
  • 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

2023

Artificial intelligence for the metaverse: A survey

Thien Huynh-The, Quoc-Viet Pham, Xuan-Qui Pham, Thanh Nguyen, Zhu Han, Dong-Seong Kim

(2023), Vol. 117, pp. 1-22, Engineering Applications of Artificial Intelligence, Amsterdam, The Netherlands, C1

journal article

Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds

L Nguyen, N Pham, V Do, L Nguyen, T Nguyen, H Nguyen, Ngoc Nguyen, Thanh Nguyen, S Nguyen, Asim Bhatti, Chee Lim

(2023), Vol. 213, Part C, pp. 1-12, Expert Systems with Applications, Amsterdam, The Netherlands, C1

journal article

Example-based explanations for streaming fraud detection on graphs

T Nguyen, T Phan, H Pham, T Nguyen, J Jo, Q Nguyen

(2023), Vol. 621, pp. 319-340, Information Sciences, Amsterdam, The Netherlands, C1

journal article

Meta-transfer learning for emotion recognition

D Nguyen, D Nguyen, S Sridharan, S Denman, T Nguyen, D Dean, C Fookes

(2023), pp. 10535-10549, Neural Computing and Applications, Berlin, Germany, C1

journal article

Validating functional redundancy with mixed generative adversarial networks

T Nguyen, T Huynh, M Pham, T Hoang, T Nguyen, Q Nguyen

(2023), Vol. 264, pp. 110342-110342, Knowledge-Based Systems, C1

journal article

Training Spiking Neural Networks with Metaheuristic Algorithms

A Javanshir, T Nguyen, M Mahmud, A Kouzani

(2023), Vol. 13, pp. 1-22, Applied Sciences (Switzerland), Basel, Switzerland, C1

journal article

Modernized Crowd Counting Strategies for Mass Gatherings-A Review

M Fiandeiro, T Nguyen, H Wong, E Hsu

(2023), Vol. 13, pp. 4-11, Journal of Acute Medicine, Amsterdam, The Netherlands, C1

journal article

Emotion Recognition System via Facial Expressions and Speech Using Machine Learning and Deep Learning Techniques

A Chaudhari, C Bhatt, T Nguyen, N Patel, K Chavda, K Sarda

(2023), Vol. 4, pp. 1-10, SN Computer Science, Berlin, Germany, C1

journal article

Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition

Nhat Pham, Duc Dang, Ngoc Nguyen, Thanh Nguyen, Hai Nguyen, Balachandran Manavalan, Chee Lim, Sy Nguyen

(2023), Vol. 230, pp. 1-13, Expert Systems with Applications, Amsterdam, The Netherlands, C1

journal article

SAWIT: A small-sized animal wild image dataset with annotations

T Nguyen, A Eichholtzer, D Driscoll, N Semianiw, D Corva, A Kouzani, T Nguyen, D Nguyen

(2023), Multimedia Tools and Applications, C1

journal article

Liquidt: stock market analysis using liquid time-constant neural networks

P Gajjar, A Saxena, K Acharya, P Shah, C Bhatt, T Nguyen

(2023), pp. 1-12, International Journal of Information Technology, Berlin, Germany, C1

journal article

Comparative study of encoded and alignment-based methods for virus taxonomy classification

M Shaukat, T Nguyen, E Hsu, S Yang, A Bhatti

(2023), Vol. 13, pp. 18662-, Scientific Reports, England, C1

journal article

An overview of Eulerian video motion magnification methods

A Ahmed, M Abdelrazek, S Aryal, T Nguyen

(2023), Vol. 117, pp. 145-163, Computers and Graphics (Pergamon), C1

journal article

Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules

T Nguyen, C Nguyen, T Huynh-The, Q Pham, Q Nguyen, I Razzak, V Reddi

(2023), Vol. 14074, pp. 298-305, ICCS 2003 : Proceedings of the 23rd International Conference on Computational Science, Prague, Czech Republic, E1

conference

Grammatical Evolution with Adaptive Building Blocks for Traffic Light Control

J Gaddam, J Barca, T Nguyen, M Angelova

(2023), pp. 1-10, CEC 2023 : Proceedings of the IEEE Congress on Evolutionary Computation, Chicago, Illinois, E1

conference
2022

Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition

D Nguyen, D Nguyen, R Zeng, T Nguyen, S Tran, T Nguyen, S Sridharan, C Fookes

(2022), pp. 1-10, IEEE transactions on multimedia, Piscataway, N.J., C1

journal article

Applications of Artificial Intelligence and Machine Learning in Disasters and Public Health Emergencies

S Lu, G Christie, T Nguyen, J Freeman, E Hsu

(2022), Vol. 16, Disaster Medicine and Public Health Preparedness, United States, C1

journal article

Epileptic seizure detection in EEG using mutual information-based best individual feature selection

Kazi Hassan, Md Islam, Thanh Nguyen, Md Molla

(2022), Vol. 193, pp. 1-11, Expert Systems with Applications, Amsterdam, The Netherlands, C1

journal article

Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions

S Ramu, P Boopalan, Q Pham, P Maddikunta, T Huynh-The, M Alazab, T Nguyen, T Gadekallu

(2022), Vol. 79, pp. 1-13, Sustainable Cities and Society, Amsterdam, The Netherlands, C1

journal article

RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification

Thien Huynh-The, Quoc-Viet Pham, Toan-Van Nguyen, Thanh Nguyen, Daniel da Costa, Dong-Seong Kim

(2022), Vol. 11, pp. 1-5, IEEE Wireless Communications Letters, Piscataway, N.J., C1

journal article

Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks

A Javanshir, T Nguyen, M Mahmud, A Kouzani

(2022), Vol. 34, pp. 1289-1328, Neural Computation, Cambridge, Mass., C1

journal article

Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence

Thanh Nguyen, Mohamed Abdelrazek, Dung Nguyen, Sunil Aryal, Duc Nguyen, Sandeep Reddy, Quoc Nguyen, Amin Khatami, Thanh Nguyen, Edbert Hsu, Samuel Yang

(2022), Vol. 8, pp. 1-12, Machine Learning with Applications, Amsterdam, The Netherlands, C1

journal article

Towards designing a generic and comprehensive deep reinforcement learning framework

N Nguyen, T Nguyen, N Pham, H Nguyen, D Nguyen, T Nguyen, C Lim, M Johnstone, A Bhatti, D Creighton, S Nahavandi

(2022), pp. 1-22, Applied Intelligence, Berlin, Germany, C1

journal article

Detecting rumours with latency guarantees using massive streaming data

T Nguyen, T Huynh, H Yin, M Weidlich, T Nguyen, T Mai, Q Nguyen

(2022), pp. 1-19, VLDB Journal, Berlin, Germany, C1

journal article

Deep learning for deepfakes creation and detection: A survey

T Nguyen, Q Nguyen, D Nguyen, D Nguyen, T Huynh-The, S Nahavandi, T Nguyen, Q Pham, C Nguyen

(2022), Vol. 223, pp. 103525-103525, Computer Vision and Image Understanding, C1

journal article

3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction

Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Nguyen, Domenec Puig, Fatemeh Vafaee

(2022), pp. 1-9, IEEE Journal of Biomedical and Health Informatics, C1

journal article
2021

A Hybrid Supervised Approach to Human Population Identification Using Genomics Data

S Araghi, T Nguyen

(2021), Vol. 18, pp. 443-454, IEEE/ACM Transactions on Computational Biology and Bioinformatics, United States, C1

journal article

Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus)

T Nguyen, P Pathirana, T Nguyen, Q Nguyen, A Bhatti, D Nguyen, D Nguyen, N Nguyen, D Creighton, M Abdelrazek

(2021), Vol. 11, pp. 3487-, Scientific reports, England, C1

journal article

A Prioritized objective actor-critic method for deep reinforcement learning

N Nguyen, T Nguyen, P Vamplew, R Dazeley, S Nahavandi

(2021), Vol. 33, pp. 10335-10349, Neural Computing and Applications, C1

journal article

A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm

O Tarkhaneh, T Nguyen, S Mazaheri

(2021), Vol. 565, pp. 278-305, Information Sciences, C1

journal article

JUDO: Just-in-time rumour detection in streaming social platforms

T Nguyen, T Nguyen, T Nguyen, B Vo, J Jo, Q Nguyen

(2021), Vol. 570, pp. 70-93, Information sciences, Amsterdam, The Netherlands, C1

journal article

Automatic Modulation Classification: A Deep Architecture Survey

T Huynh-The, Q Pham, T Nguyen, T Nguyen, R Ruby, M Zeng, D Kim

(2021), Vol. 9, pp. 142950-142971, IEEE Access, C1

journal article

Deep Reinforcement Learning for Cyber Security

T Nguyen, V Reddi

(2021), Vol. PP, IEEE Transactions on Neural Networks and Learning Systems, United States, C1

journal article
2020

A multi-objective deep reinforcement learning framework

Thanh Nguyen, Ngoc Nguyen, Peter Vamplew, Saeid Nahavandi, Richard Dazeley, Chee Lim

(2020), Vol. 96, pp. 1-12, Engineering Applications of Artificial Intelligence, Amsterdam, The Netherlands, C1

journal article

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

T Nguyen, N Nguyen, S Nahavandi

(2020), Vol. 50, pp. 3826-3839, IEEE transactions on cybernetics, Piscataway, N.J., C1

journal article

Evaluation of classification techniques for identifying cognitive load levels using EEG signals

Syed Salaken, Imali Hettiarachchi, Luke Crameri, Samer Hanoun, Saeid Nahavandi, Thanh Nguyen

(2020), SYSCON2020 : Proceedings of the 14th Annual IEEE International Systems Conference, Virtual Conference, E1

conference

Convolutional neural network for medical image classification using wavelet features

Amin Khatami, Asef Nazari, Amin Beheshti, Thanh Nguyen, Saeid Nahavandi, Jerzy Zieba

(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

conference
2019

A Review of Situation Awareness Assessment Approaches in Aviation Environments

T Nguyen, C Lim, N Nguyen, L Gordon-Brown, S Nahavandi

(2019), Vol. 13, pp. 3590-3603, IEEE Systems Journal, C1

journal article

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, C1

journal article

Multi-agent behavioral control system using deep reinforcement learning

N Nguyen, T Nguyen, S Nahavandi

(2019), Vol. 359, pp. 58-68, Neurocomputing, C1

journal article

Multi-agent Deep Reinforcement Learning with Human Strategies

T Nguyen, N Nguyen, S Nahavandi

(2019), pp. 1357-1362, ICIT 2019 : Proceedings of the IEEE Industrial Technology 2019 Conference, Melbourne, Vic., 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, 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, Journal of Neural Engineering, England, 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, 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, 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

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

(2017), Vol. 86, pp. 190-198, Expert Systems with Applications, 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, 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, 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, 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, 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, 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, Scientific Reports, England, 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, United States, C1

journal article

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

Optimal ground control points for geometric correction using genetic algorithm with global accuracy

T Nguyen

(2015), Vol. 48, pp. 101-120, European Journal of Remote Sensing, [Cagiari, Italy], 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

Multivariate Adaptive Autoregressive Modeling and Kalman Filtering for Motor Imagery BCI

Imali Hettiarachchi, Thi Thanh, Saeid Nahavandi

(2014), pp. 3164-3168, 2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014), Austin, TX, E1-1

conference
2013

Epidemiological dynamics modeling by fusion of soft computing techniques

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2013), IJCNN 2013 : Proceedings of the IEEE Neural Networks 2013 International Joint Conference, Dallas, Texas, E1

conference

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

T Nguyen, A Khosravi, S Nahavandi, D Creighton

(2013), pp. 1-8, FUZZ-IEEE 2013 : Proceedings of the IEEE International Conference on Fuzzy Systems, Hyderabad, India, 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, Piscataway, N.J., 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), pp. 406-417, MICAI 2010 : Proceedings of the Artificial Intelligence 2010 Mexican International Conference, Pachuca, Mexico, E1-1

conference

Standard additive fuzzy system for stock price forecasting

D Sang, D Woo, D Park, T Nguyen

(2010), pp. 279-288, ACIIDS 2010 : Proceedings of Intelligent Information and Database Systems 2010 Asian Conference, Hue City, Vietnam, E1-1

conference

Smoothing supervised learning of neural networks for function approximation

T Nguyen

(2010), pp. 104-109, KSE 2010 : Proceedings of the Knowledge and Systems Engineering 2010 international conference, Hanoi, Vietnam, 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, Pathumthani, Thailand, C1-1

journal article

GA-SVM based framework for time series forecasting

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

(2009), pp. 493-498, ICNC 2009 : Proceedings of the Natural Computation 2009 International Conference, Tianjin, China, E1-1

conference
2008

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, CIMCA 2008 : Proceedings of the Computational Intelligence for Modelling, Control and Automation 2008 international conference, Vienna, Austria, E1-1

conference

Enhancing the performance of the fuzzy system approach to prediction

T Nguyen, J Peterson

(2008), pp. 259-265, FSKD 2008 : Proceedings of the Fuzzy Systems and Knowledge Discovery 2008 international conference, Jinan, China, 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

DSTO Grant - Research - Defence Science & Technology Organisation

  • 2016: $131,159

Analysis of factors influencing electrical network-related incidents.

Dr Thanh Thi Nguyen

Energy Safe Victoria

  • 2021: $10,328
  • 2020: $10,000

Utilise Human Expertise to Extend the Capabilities of Reinforcement Learning.

Dr Thanh Thi Nguyen, A/Prof Mohamed Abdelrazek

DSTO contract

  • 2021: $5,000
  • 2020: $15,000

Holonic-based deep reinforcement learning for multi-agent systems.

Dr Thanh Thi Nguyen, A/Prof Mohamed Abdelrazek

Department of Defence

  • 2022: $30,000

Sim to Real Transfer in Deep Reinforcement Learning for Real-World Robots.

Dr Thanh Thi Nguyen, A/Prof Mohamed Abdelrazek, Mr David Azimi

Department of Jobs, Precincts & Regions

  • 2022: $15,000

Predicting ground fire incidents using AI and statistical methods.

Dr Thanh Thi Nguyen, Dr Jonathan Kua, Dr Anuroop Gaddam

Energy Safe Victoria

  • 2022: $10,425

Industry and Other Funding

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

A/Prof Mohamed Abdelrazek, Dr Thanh Thi Nguyen

Fujitsu Laboratories Ltd

  • 2020: $122,886

Other Funding Sources

R3.1.4 Intelligent data fusion and analytics framework for decision support in predictive maintenace services.

Prof Douglas Creighton, Prof Chee Peng Lim, Dr Vu Le, Dr James Zhang, A/Prof Michael Johnstone, Dr Thanh Thi Nguyen

Rail Manufacturing CRC Ltd

  • 2020: $558,480
  • 2019: $595,318

Augmenting Cyber Defence Capability (ACDC).

Prof Gang Li, Dr Luxing Yang, Dr Nayyar Zaidi, Dr Ye Zhu, Prof Rajesh Vasa, Prof Kon Mouzakis, Prof Robin Ram Mohan Doss, Dr Thanh Thi Nguyen

Cyber Security Research Centre Limited

  • 2023: $156,000
  • 2022: $32,199

Supervisions

Principal Supervisor
2020

Ngoc Duy Nguyen

Thesis entitled: A Deep Reinforcement Learning Framework for Human-Level Agents.

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

Co-supervisor
2021

Roohallah Alizadehsani

Thesis entitled: Uncertainty-Aware Model Training and Decision Making

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

Associate Supervisor
2023

Jyotheesh Gaddam

Thesis entitled: Development of Self-Adaptive Hybrid Algorithms: A Hyper-Heuristic Approach to Dynamic Optimisation

Doctor of Philosophy (Information Technology), School of Information Technology

AmirHossein Javanshir

Thesis entitled: A Multi-Objective Spiking Neural Network

Doctor of Philosophy (Engineering), School of Engineering

2021

Afsaneh Koohestani

Thesis entitled: Towards Identifying Driver Performance Degradation using Physiological Signals

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

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