Hoang Dinh (Đinh Thái Hoàng)

I am currently an Associate Professor at the University of Technology Sydney and an ARC DECRA Fellow. My current research interests include applications of machine learning to address emerging problems in communications, networking, and cybersecurity.  

Research Interests

• Communications and Networks: Mobile edge computing, wireless networks, IoT and Metaverse

• Applications of Machine Learning: Reinforcement learning, deep reinforcement learning, federated learning, and generative AI

• Security: Physical layer security, cyberattack detection, blockchain and adversarial machine learning

• Optimization: Operations research, control theory, game theory, and queuing theory

Professional Activities (Present)

• Editor, IEEE Transactions on Mobile Computing (Apr. 2023 - Present)

• Editor, IEEE Transactions on Vehicular Technology (Mar. 2022 - Present)

• Editor, IEEE Transactions on Wireless Communications (Apr. 2021 - Present)

• Editor, IEEE Communications Surveys & Tutorials (Mar. 2021 - Present)

• Editor, IEEE Transactions on Cognitive Communications and Networking (Jan. 2019 - Present)

Awards & Honors (Selected)

• 2023 TCI Rising Star Award

• IEEE Communications Society Best Survey Paper Award 2023

• IEEE Asia-Pacific Board (APB) Outstanding Paper Award 2022

• UTS Vice Chancellor's Awards for Research Excellence 2022

• IEEE TCSC Award for Excellence in Scalable Computing (Early Career Researcher) 2021

• ARC DECRA 2021, Australian Research Council Discovery Early Career Researcher Award 2021

• 2020-2022 World’s Top 2% Scientists, Global List Released by Stanford University.

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[PhD Scholarship] I am currently looking for a PhD student with excellent theoretical backgrounds on wireless networks and machine learning, for research in Applications of Machine Learning in Wireless Networks, at the University of Technology Sydney (UTS), Australia.

Scholarship: ~AUD $28,000/year (plus tuition fee waiver) for 3 years (up to 3.5 years).

Qualifications: Candidates are expected to have experiences with network modeling and scientific programming (Matlab/Python), as well as a strong background in either wireless networks or machine learning. Background on machine learning or optimization is desired. English IELTS (Academic) >=6.5 overall, writing >=6.0.Hard-working and passion for research.

Application: Please, send your CV, a copy of the transcripts and any publications to me (Hoang.Dinh@uts.edu.au).

Deadline: 31-Oct-2021. The selected candidate is expected to start working at UTS early next year 2022.

Additional Information:

• I will try to reply to all emails to confirm your applications. However, I will only contact the selected candidate for an interview.

• My research: https://lnkd.in/gGyn4B7K

• University of Technology Sydney: https://lnkd.in/gQkFdFPf

• UTS International Research Scholarship (How to apply): https://lnkd.in/gu8ndcJv

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