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 field of Artificial Intelligence & Image Processing by Elsevier B.V. and Stanford University.

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• Program Committee Member of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, South Korea, Aug 2024.

• Invited talk "Detection of online harmful content using Llama 2 large language models" at Data61, CSIRO, Clayton, Melbourne, Australia, Mar 2024. 

• Invited talk "Recent Developments of Deep Reinforcement Learning and Its Applications" at Department of Mathematics and Statistics and Department of Information Technology, Quy Nhon University, Vietnam, Jan 2024.

• My former PhD student under my main supervision Ngoc Duy Nguyen has been awarded the Alfred Deakin Medal for Doctoral Thesis, "A Deep Reinforcement Learning Framework for Human-Level Agents", Dec 2023.

• Program Committee Member of the 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI), Jakarta, Indonesia, Nov 2023.

• Pleased to be among the world's top 2% scientists in the field of Artificial Intelligence & Image Processing by Elsevier B.V. and Stanford University, Oct 2023.

• Program Co-Chair of the 2023 EAI International Conference on Artificial Intelligence for CyberSecurity (AICSEC), Bratislava, Slovakia, Oct 2023.

• Program Committee Member of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, Aug 2023.

• I have left Deakin University and joined the Department of Data Science & AI, Faculty of IT, Monash University at Clayton campus as an associate professor, July 2023.

• Invited speaker, “AI for the Metaverse” at Deakin AI Festival, Jun 2023.

• Editorial Board Member of the Artificial Intelligence Advances journal, Feb 2023 - Present.

• Deakin University Vice-Chancellor's 10 Years Service Milestone Award, December 2022.

• One of the Most Popular Articles in the IEEE Transactions on Cybernetics since September 2020.

• Best Paper Award (2022) at the International Conference on Artificial Intelligence, Security and Communications (AISC - http://aisc2022.iaasse.org/): “Emotion Recognition System via Facial Expressions and Speech using Machine Learning and Deep Learning Techniques”.

• Publicity & Social Media Committee and Technical Program Committee of the 16th International Conference on Advanced Computing and Analytics (ACOMPA), Vietnam, November 2022.

• Pleased to be in the lists of top 2% scientists internationally in 2020, 2021 and 2022 (single year impact lists) by Elsevier B.V. and Stanford University, based on standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator.

• Guest Editor of the Special Issue "Advances in Artificial Intelligence for Cyber Security", Sensors Journal (ISSN 1424-8220).

• Keynote speaker on "Applications of AI in the Battle against COVID-19" at the 15th International Conference on Advanced Computing and Applications (ACOMP), Vietnam, November 2021.

• Invited talk at the International Webinar "AI: Opportunities and Challenges" at the Center for Artificial Intelligence and Technology, The National University of Malaysia, October 2021.

• I was invited to give a talk on “Human strategies to coordinate multiple deep reinforcement learning agents” at Monash Faculty of IT in March 2021. 

• I was interviewed by Dr Renee Beale, host of the Scipothesis podcast, about the creation and detection of deepfakes, which can be found at the following link: https://www.scipothesis.org/episodes/episode-01-deepfakes

• I have accepted an invite to be a member of the Organising Committee of the IEEE SMC 2021 Conference, to be held in Melbourne, Victoria, Australia in October 2021.

• We have landed the project "Utilise Human Expertise to Extend the Capabilities of Reinforcement Learning" funded by DST Group under the AI for Decision Making Initiative.

• I was invited to give an online talk on "Deep Reinforcement Learning and Its Applications" to a group of around 60 engineers at the Ericsson company, Chennai, India in July 2020.

• We have landed the project "Analysis of factors influencing electrical network-related incidents", which aims to improve safety of electrical networks.

• Our paper "Deep Reinforcement Learning for Cyber Security" has been listed in Best Deep Reinforcement Learning Research of 2019 by the Medium.

• Our tutorial "Advances in Deep Reinforcement Learning" has been accepted at the IEEE WCCI 2020 to be held in Glasgow, UK in July 2020.

• Our Special Session "Methods and Applications of Deep Reinforcement Learning to Autonomous Systems" has been accepted at the 2020 International Joint Conference on Neural Networks (IJCNN), part of IEEE WCCI 2020 (Glasgow, UK).

• I was invited to be Guest Editor of Special Issue "Deep Reinforcement Learning: Methods and Applications", Electronics Journal (ISSN 2079-9292).

• I have been awarded the Australia–India Strategic Research Fund (AISRF) Early- and Mid-Career Fellowship (2020)  by the Australian Academy of Science on the topic of deep reinforcement learning, working with IIT Madras and IIT Roorkee in India.

• We have recently released the universal deep reinforcement learning framework Fruit API to facilitate the development and applications of deep reinforcement learning methods, reported in a paper at https://bit.ly/2Pj0dyC 

• We have landed the project "Improving decision making in self-adaptive systems using reinforcement learning" with Fujitsu Laboratories Ltd. (2020).

• We have landed the project "Geospatial data analysis for infrastructure planning and prioritization in Indonesia" with the Australia Indonesia Partnership for Economic Development (2019-2020).

• We have landed the project in partnership with IIT Kanpur "Deployment of low-cost multi-rotor mini-UAVs (Unmanned Aerial Vehicles) for early detection of crop diseases and development of an optimal system for management of farming activities" from the Scheme for Promotion of Academic and Research Collaboration (SPARC): A Government of India Initiative (2019-2020).

• We have landed the project "Intelligent data fusion and analytics framework for decision support in predictive maintenance services" funded by the Rail Manufacturing CRC and Downer Group (2019).