| OfficeUltra-Intelligent
                                          Computing/Communication Laboratory
 School of Computer Science and
                                          Engineering
 College of Software
 Chung-Ang University
 221 Heukseok, Dongjak, Seoul, 156-756 South Korea
 
 E-mail: vdtuong at uclab.re.kr Fax: +822 820-5301 Webpage:  http://uc.cse.cau.ac.kr/vdtuong.html Research Interests : 
                                        
                                           Wireless CommunicationUbiquitous ComputingMachine LearningGame Theory 
 Education : 
                                        List of Publications :B.S.: Hanoi University of Science and Technology, Hanoi, Vietnam, Aug. 2012M.S.: Chung-Ang University, Seoul, Republic of Korea, Feb. 2021 
																				
																					International Journals
																				
																					V. D. Tuong and S. Cho,
																					
																					"Deep-Learning-Based Resource Allocation for 6G NOMA-Assisted Backscatter Communications,"
																					 to appear in IEEE Internet of Things Journal, 2024.
																					(IF: 10.6, Top 2.2%)
																					
																						 [PDF]
																					
																				
																					V. D. Tuong, W. Noh, and S. Cho,
																					
																					"Spatial Deep Learning-Based Dynamic TDD Control for UAV-Assisted 6G Hotspot Networks,"
																					 to appear in IEEE Transactions on Industrial Informatics, 2024.
																					(IF: 12.3, Top 2.3%)
																					
																						 [PDF]
																					
																				
																					V. D. Tuong, W. Noh, and S. Cho,
																					
																					"Sparse CNN and Deep Reinforcement Learning-Based D2D Scheduling in UAV- Assisted Industrial IoT Networks,"
																					 IEEE Transactions on Industrial Informatics, vol. 20, no. 1, pp. 213-223, Jan. 2024.
																					(IF: 12.3, Top 2.3%)
																					
																						 [PDF]
																					
																				
																					T. P. Truong, V. D. Tuong, N.-N. Dao, and S. Cho,
																					
																					"FlyReflect: Joint Flying IRS Trajectory and Phase Shift Design using Deep Reinforcement Learning,"
																					 IEEE Internet of Things Journal, vol. 10, no. 5, pp. 4605-4620, Mar. 2023.
																					(IF: 10.238, Top 5.49%)
																					
																						 [PDF]
																					
																				
																					V. D. Tuong, W. Noh, and S. Cho,
																					
																					"Delay Minimization for NOMA-enabled Mobile Edge Computing in Industrial Internet of Things,"
																					 IEEE Transactions on Industrial Informatics, vol. 18, no. 10, pp. 7321-7331, Oct. 2022.
																					(IF: 11.648, Top 3.54%)
																					
																						 [PDF]
																					
																				
																					D. S. Lakew, V. D. Tuong, N.-N. Dao, and S. Cho,
																					
																					"Adaptive Partial Offloading and Resource Harmonization in Wireless Edge Computing-Assisted IoE Networks,"
																					 IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp. 3028-3044, Sept.-Oct. 2022.
																					(IF: 5.033, Top 8.33%)
																					
																						 [PDF]
																					
																				
																					T.-V. Nguyen, N.-N. Dao, V. D. Tuong, W. Noh, and S. Cho,
																					
																					"User-Aware and Flexible Proactive Caching using LSTM and Ensemble Learning in IoT-MEC Networks,"
																					 IEEE Internet of Things Journal, vol. 9, no. 5, pp. 3251-3269, Mar. 2022.
																					(IF: 10.238, Top 5.49%)
																					
																						 [PDF]
																					
																				
																					V. D. Tuong, N.-N. Dao, W. Noh, and S. Cho,
																					
																					"Deep Reinforcement Learning-Based Hierarchical Time Division Duplexing Control for Dense Wireless and Mobile Networks,"
																					 IEEE Transactions on Wireless Communications, vol. 20, no. 11, pp. 7135-7150, Nov. 2021.
																					(IF: 8.346, Top 9.57%)
																					
																						 [PDF]
																					
																				
																					V. D. Tuong, T. P. Truong, T.-V. Nguyen, W. Noh, and S. Cho,
																					
																					"Partial Computation Offloading in NOMA-Assisted Mobile Edge Computing Systems Using Deep Reinforcement Learning,"
																					 IEEE Internet of Things Journal, vol. 8, no. 17, pp. 13196-13208, Sept. 2021.
																					(IF: 10.238, Top 5.49%)
																					
																						 [PDF]
																					
																				 
																				International Conferences
																					T. P. Truong, A.-T. Tran, V. D. Tuong, N.-N. Dao, and S. Cho, 
																						 NOMA-Enhanced Quantized Uplink Multi-user MIMO Communications," in Proc. of IEEE INFOCOM, Vancouver, Canada, May 2024.
																					V. D. Tuong, D. Kim, E.-J. Kim, J. Paek, and S. Cho, 
																						 Optimal Resource Allocation for NOMA-Assisted Backscatter Communication in 6G Internet of Vehicles Networks," in Proc. of ICOIN, Ho Chi Minh, Vietnam, January 2024.
																						(Best Paper Award)
																					T. P. Truong, T.-H. Nguyen, A.-T. Tran, S. V.-T. Tran, V. D. Tuong, L. V. Nguyen, W. Na, L. Park, and S. Cho, 
																						Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-user SIMO-RSMA Systems," in Intelligence of Things: Technologies and Applications, Springer Nature Switzerland, 2023, pp. 36-45, doi: https://doi.org/10.1007/978-3-031-46573-4_4.
																					(Best Paper Award)
																					V. D. Tuong, N. C. Luong, and S. Cho, 
																						Machine Learning-Based Energy-Efficient Task Offloading for Mobile Edge Computing in UAV-Assisted Maritime Networks," in Proc. of ICMIC, Jeju, South Korea, August 2023.
																					V. D. Tuong, N.-N. Dao, W. Noh, and S. Cho, 
																						 Dynamic Time Division Duplexing for Green Internet of Things, in Proc. of ICOIN, Jeju, Korea,
                                            January 2022.
																					 [PDF] 
																					 [IEEE Xplore] 
																				A.-T. Tran, D. S. Lakew,  T.-V. Nguyen, V. D. Tuong, T.P. Truong, N.-N. Dao, and S. Cho, 
																						 Hit Ratio and Latency Optimization for Caching Systems: 
																					A Survey, in Proc. of ICOIN, Jeju, Korea, January 2021.
																					 [PDF] 
																					 [IEEE Xplore] 
																				T.-V. Nguyen, V. D. Tuong, A.-T. Tran, T.P. Truong, D. S. Lakew, C. Lee, Y.S. Lee, and S. Cho, 
																						 User-Preference-based Proactive Caching in Edge Networks, in Proc. of ICOIN, Jeju, Korea,
                                            January 2021.
																					 [PDF] 
																					 [IEEE Xplore] 
																				V. D. Tuong, T. P. Truong, A.-T. Tran, A. Masood, D. S. Lakew, C. Lee, Y. Lee, and S. Cho, 
																						 Delay-Sensitive Task Offloading for Internet of Things in Nonorthogonal Multiple Access MEC Networks, in Proc. of ICTC, Jeju, Korea,  
                                            October 2020.
																					 [PDF] 
																					[IEEE Xplore]
																				N. Kim, Y. Lee, C. Lee, T. V. Nguyen, V. D. Tuong, and S. Cho, 
																						 GPU-specific Task Offloading in the Mobile Edge Computing Network, in Proc. of ICTC, Jeju, Korea,  
                                            October 2020.
																					 [PDF] 
																					[IEEE Xplore]
																				A.-T. Tran, T.-V. Nguyen, V. D. Tuong,  N.-N. Dao, and S. Cho, 
																						 On Stalling  Minimization  of  Adaptive  Bitrate  Video  Services  in  Edge  Caching Systems, in Proc. of ICOIN, Barcelona, January 2020.
																					 [PDF] 
																					[IEEE Xplore]
																				 
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