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His current research interests include:

• Digital Twin and Internet of Things: Optimal digital twin design for complex networked systems, AI-driven decision-making in digital twin, joint communication–computing–control design, and intelligent IoT systems.

• Cloud and Edge Computing: Intelligent task offloading, distributed intelligence, adaptive service orchestration, edge AI, and sustainability-aware computing.

• Next-Generation Mobile Networks: 6G networks, Space–Air–Ground Integrated Networks (SAGIN), low-altitude UAV networks, O-RAN, and Integrated Sensing and Communications (ISAC).

• Quantum Computing and Cybersecurity: Quantum optimization, quantum reinforcement learning, network resource allocation, network optimization, and AI-driven intrusion detection and prevention.

His recent publications: Google Scholar | ORCID | Scopus

Contact details:

Dr. Dang Van Huynh | Department of Computer Networks | Faculty of Computer Networks and Communications; 

University of Information Technology, Vietnam National University Ho Chi Minh City, Vietnam;

Quarter 34, Linh Xuan Ward, Ho Chi Minh City, Vietnam | Building E, Room E8.8;

Email: danghv@uit.edu.vn; vdanghuynh@gmail.com.

Featured works:

[1] D. V. Huynh, S. R. Khosravirad,  Simon L. Cotton, Hyundong Shin, and T. Q. Duong, "Multi-Agent Reinforcement Learning for Optimal Resource Allocation in Space-Air-Ground Integrated Networks", in IEEE Internet of Things Journal, vol. 13, no. 3, pp. 3618-3629, Feb. 2026 [SCIE Q1, IF: 8.9]

[2] D. V. Huynh, A. Dobre, and T. Q. Duong "Optimal Service Placement for 6G Edge Computing with Quantum-Centric Optimisation in Real Quantum Hardware", IEEE Communications Letters, vol. 29, no. 3, pp. 448-452, Mar. 2025 [SCIE Q1, IF: 4.4]

[3] D. V. Huynh, S. R. Khosravirad, S. Cotton, Thang X. Vu, O. A. Dobre, H. Shin, and T. Q. Duong, "Joint Sensing, Communications, and Computing Design for 6G URLLC Service-Oriented MEC Networks", in IEEE Internet of Things Journal, vol. 11, no. 20, pp. 32429-32439, Oct. 2024 [SCIE Q1, IF: 8.9]

[4] D. V. Huynh, V.-D. Nguyen, S. R. Khosravirad, G. K. Karagiannidis, and Trung Q. Duong, "Distributed Communication and Computation Resource Management for Digital Twin-aided Edge Computing with Short-Packet Communications",  in IEEE Journal on Selected Areas in Communications, vol. 41, no. 10, pp. 3008 - 3021, Oct. 2023 [SCIE Q1, IF: 17.2]

[5] D. V. Huynh, V.-D. Nguyen, S. R. Khosravirad, V. Sharma, O. A. Dobre, H. Shin and T. Q. Duong, "URLLC Edge Networks with Joint Optimal User Association, Task Offloading, and Resource Allocation: A Digital Twin Approach", in IEEE Transactions on Communications, vol. 70, no. 11, pp. 7669-7682, Nov. 2022 [SCIE Q1, IF: 8.3]

*News:

2026:

• Apr. 21: Released a webpage for our British Council-funded TNE Exploratory Grant!

• Apr.16: Released an updated syllabus and new course webpage for the graduate-level course "NT2204 - Advanced Distributed Computing Systems" at VNUHCM-UIT.

• Jan. 26: I'm launching a new course titled "NT549-Reinforcement Learning for Networked Systems" for final-year undergraduate students at VNUHCM-UIT.

• Jan. 02: Our British Council-funded TNE Exploratory Grant application has been recommended for funding. Working with Middlesex University, UK, this project focuses on UK–Vietnam TNE to Accelerate Research‑Informed Teaching in Digital Twins, Next‑Generation Wireless, and Quantum Technologies.

2025:

• Dec. 17: I was awarded the "2025 Exemplary Reviewers", IEEE Communication Letters from IEEE ComSoc.

• Aug. 25: My paper on multi-agent reinforcement learning for resource allocation in SAGIN has been accepted for publication on the IEEE Internet of Things Journal.

• July. 25: Our paper on Quantum Optimization for Green Supply Chain has been accepted for publication on the IEEE Internet of Things Journal.

• Apr. 11: My paper has been accepted for publication on the IEEE Internet of Things Journal. This paper proposes optimisation and reinforcement learning approaches to solve a problem in carbon-aware edge computing systems.

• Mar. 27: I have completed the Teaching Skills Enhancement Program (TSEP) for Educators at Memorial University.

• Mar. 07: Our paper on quantum-enhanced reinforcement learning has been accepted at IEEE ICC Workshop 2025.

• Jan. 17: My paper has been accepted for presentation in IEEE ICC 2025. This paper proposes a DRL-based solution for reliable task offloading in space-air-ground integrated networks.

2024:

• Dec. 21: My first paper on quantum optimisation has been accepted for publication on IEEE Communications Letters. This paper explores the possibility of quantum-centric optimisation in service placement problem for 6G edge computing.

• Oct. 22: I was awarded the first prize in the EEECS-QUB Best Thesis Award 2024.

• Jul. 30: My paper has been accepted for presentation in the IEEE GLOBECOM 2024. This paper addresses the trade-off between environmental sustainability and technological efficiency with a CO2 emission-aware edge computing model.

• Jun. 18: My paper has been accepted for publication on the IEEE Internet of Things Journal. This paper proposes an optimal design of joint sensing, communications, and computing in wireless-aware, service-oriented edge computing.

• Jan. 10: Got a Postdoctoral Fellowship offer from Memorial University, Canada under the CERC-NGCT program.