Publications

• Generative and Explainable AI for High-Dimensional MIMO-OFDM Channel Estimation in Time-Frequency-Space Domain
  Nghia Thinh Nguyen and Tri Nhu Do
  IEEE Transactions on Green Communications and Networking (TGCN)
  May 2026

• Deep Reinforcement Learning-Enabled Anti-Reactive Jamming Strategies for Mobile Cell-Free Interference Networks
  Tri Nhu Do, Georges Kaddoum, and François Leduc-Primeau
  IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
  Canada, May 2026

• Probabilistic Denoising-Enhanced Parameter Estimation for Multi-Target Detection
  Nghia Thinh Nguyen and Tri Nhu Do
  IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
  Canada, May 2026

• AI-Open-RAN for Non-Terrestrial Networks
  Tri Nhu Do
  IEEE International Conference on Computing and Communication Technologies (RIVF)
  Vietnam, Dec. 2025

• Temporal Micro-Doppler Spectrogram-Based ViT Multiclass Target Classification
  Nghia Thinh Nguyen and Tri Nhu Do
  IEEE International Conference on Computing and Communication Technologies (RIVF)
  Vietnam, Dec. 2025

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2025

• Unsupervised Learning-based Joint Beamforming and Phase-Shift Optimization for RIS-Assisted DeepMIMO with Large-Scale Arrays
  Yosefine Triwidyastuti, Tri Nhu Do, Ridho Hendra Yoga Perdana, Kyusung Shim, and Beongku An
  IEEE Access
  August 2025

• Domain Adaptation-Enabled Realistic Map-Based Channel Estimation for MIMO-OFDM
  Thien Hieu Hoang, Georges Kaddoum, and Tri Nhu Do
  Invited Paper – IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
  Sep 2025

• Generative AI-empowered Resilient Adaptive ISAC Against Adversarial Machine Learning Attacks
  Hamda Bouzabia, Tri Nhu Do, and Georges Kaddoum
  IEEE Transactions on Vehicular Technology
  June 2025

• Neural Network-based Information-Theoretic Transceivers for High-Order Modulation Schemes
  Ngoc Long Pham and Tri Nhu Do

• Feature Fusion and Knowledge-Distilled Multi-Modal Multi-Target Detection
  Ngoc Tuyen Do and Tri Nhu Do

• Generative and Explainable AI for High-Dimensional Channel Estimation
  Nghia Thinh Nguyen and Tri Nhu Do
  2025 IEEE International Conference on Communications
  Montreal, Canada
  June 2025

• Ground-to-UAV and RIS-assisted UAV-to-Ground Communication Under Channel Aging: Statistical Characterization and Outage Performance
  Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do, and Zygmunt J. Haas
  IEEE Transactions on Communications
  February 2025

• DRL-Based Maximization of the Sum Cross-Layer Achievable Rate for Networks Under Jamming
  Abdul Basit, Muddasir Rahim, Tri Nhu Do, Nadir Adam, and Georges Kaddoum
  IEEE Transactions on Network and Service Management January 2025

• Transfer Learning-Empowered Physical Layer Security in Aerial Reconfigurable Intelligent Surfaces-Based Mobile Networks
  Yosefine Triwidyastuti, Tri Nhu Do, Ridho Hendra Yoga Perdana, Kyusung Shim, and Beongku An
  IEEE Access January 2025

2024

• Fast Beam Placement for Ultra-Dense LEO Networks
  Trinh Van Chien, Nguyen Minh Quan, Tri Nhu Do, Cuong Le, Tan N. Nguyen, and Symeon Chatzinotas
  IEEE Wireless Communications Letters
  December 2024

• Online Energy-Efficient Beam Bandwidth Partitioning in mmWave Mobile Networks
  Zoubeir Mlika, Tri Nhu Do, Adel Larabi, Jennie Diem Vo, François Leduc-Primeau, Jean-François Frigon
  IEEE 100th Vehicular Technology Conference (VTC2024-Fall)
  October 2024

• Federated Learning-Enabled Jamming Detection for Stochastic Terrestrial and Non-Terrestrial Networks
  Aida Meftah, Tri Nhu Do, Georges Kaddoum, and Chamseddine Talhi
  IEEE Transactions on Green Communications and Networking
  Jul. 2024

• Deep Transfer Learning-based Performance Prediction of URLLC in independent and not necessarily identically distributed Interference Networks
  Mujtaba Ghous, Thanh Luan Nguyen, Tri Nhu Do, and George Kaddoum
  IEEE Access
  Jul. 2024

• Joint Power and User Allocation in Coexistence of eMBB and URLLC Services
  Muddasir Rahim, Thanh Luan Nguyen, Tri Nhu Do, and Georges Kaddoum
  IEEE Communications Letters
  Jun. 2024

• Joint Computation Offloading and Target Tracking in Integrated Sensing and Communication Enabled UAV Networks
  Trinh Van Chien, Mai Dinh Cong, Nguyen Cong Luong, Tri Nhu Do, Dong In Kim, and Symeon Chatzinotas
  IEEE Communications Letters
  Apr. 2024

• Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems
  Thien Hieu Hoang, Chuyen T. Nguyen, Tri Nhu Do, and Georges Kaddoum
  IEEE Transactions on Communications
  Jan. 2024

• Multi-IRS-Aided Terahertz Networks: Channel Modelling and User Association With Imperfect CSI
  Muddasir Rahim, Thanh Luan Nguyen, Georges Kaddoum, and Tri Nhu Do
  IEEE Open Journal of the Communications Society
  Jan. 2024

• Online Energy-Efficient Beam Bandwidth Partitioning in mmWave Mobile Networks
  Zoubeir Mlika, Tri Nhu Do, Adel Larabi, Jennie Diem Vo, François Leduc-Primeau, Jean-François Frigon
  IEEE 100th Vehicular Technology Conference (VTC2024-Fall)
  Oct. 2024

• Integrated Sensing and Communications Using Generative AI: Countering Adversarial Machine Learning Attacks
  Hamda Bouzabia, Georges Kaddoum, and Tri Nhu Do
  IEEE International Conference on Communications (ICC)
  Jun. 2024

• Statistical Characterization of RIS-assisted UAV Communications in Terrestrial and Non-Terrestrial Networks Under Channel Aging
  Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do, and Zygmunt J. Haas
  IEEE International Conference on Communications (ICC)
  Jun. 2024

• DRL-Based Dynamic Channel Access and SCLAR Maximization for Networks Under Jamming
  Abdul Basit, Muddasir Rahim, Georges Kaddoum, Tri Nhu Do, and Nadir Adam
  IEEE Wireless Communications and Networking Conference (WCNC)
  Apr. 2024

• User Association Optimization for IRS-aided Terahertz Networks: A Matching Theory Approach
  Muddasir Rahim, Thanh Luan Nguyen, Georges Kaddoum, and Tri Nhu Do
  IEEE Wireless Communications and Networking Conference (WCNC)
  Apr. 2024

• Exploiting Secrecy Performance of RIS-Assisted Networks: Deep Learning-Based Evaluation
  Yosefine Triwidyastuti, Ridho Hendra Yoga Perdana, Kyusung Shim, Tri Nhu Do, and Beongku An
  The 12th International Conference on Green and Human Information Technology (ICGHIT)
  Feb. 2024

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2023

• Distributed Machine Learning for Terrestrial and Non-Terrestrial Internet of Things Networks
  Tri Nhu Do and Georges Kaddoum
  IEEE Internet of Things Magazine
  Dec. 2023

• Joint Devices and IRSs Association for Terahertz Communications in Industrial IoT Networks
  Muddasir Rahim, Georges Kaddoum, and Tri Nhu Do
  IEEE Transactions on Green Communications and Networking
  Nov. 2023

• Channel Characterization of UAV-RIS-aided Systems with Adaptive Phase-shift Configuration
  Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do, and Zygmunt J. Haas
  IEEE Wireless Communications Letters
  Aug. 2023

• Federated Learning-Enabled Jamming Detection and Waveform Classification for Distributed Tactical Wireless Networks,
  Aida Meftah, Tri Nhu Do, Georges Kaddoum, Chamseddine Talhi, and Satinder Singh
  IEEE Transactions on Network and Service Management
  Apr. 2023

• Adaptive Decoding Mechanisms for UAV-enabled Double-Uplink Coordinated NOMA
  Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do, Daniel Benevides da Costa, and Zygmunt J. Haas
  IEEE Transactions on Vehicular Technology
  Mar. 2023

• Federated Learning-based Jamming Detection for Tactical Terrestrial and Non-Terrestrial Networks
  Aida Meftah, Georges Kaddoum, Tri Nhu Do, and Chamseddine Talhi
  IEEE Global Communications Conference (GLOBECOM)
  Dec. 2023

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2023

• Thanh Luan Nguyen, Tri Nhu Do, and Georges Kaddoum, “Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach,” IEEE Transactions on Communications, Oct. 2022.

• Thanh Luan Nguyen, Tri Nhu Do, Georges Kaddoum, Daniel B. da Costa, and Zygmunt J. Haas, “Channel Characterization for RIS-aided Terahertz Communications: A Stochastic Approach,” IEEE Wireless Communications Letters, Jun. 2022.

• Hamda Bouzabia, Tri Nhu Do, and Georges Kaddoum, “Deep Learning-enabled Deceptive Jammer Detection for Low Probability of Intercept Communications,” IEEE Systems Journal, May 2022.

• Tri Nhu Do, Georges Kaddoum, Thanh Luan Nguyen, Daniel B. da Costa, and Zygmunt J. Haas, “Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis,” IEEE Transactions on Communications, Sep. 2021. (MATLAB code)

• Kyusung Shim, Tri Nhu Do, Toan Van Nguyen, Daniel B. da Costa, and Beongku An, “Enhancing PHY-Security of FD-Enabled NOMA Systems Using Jamming and User Selection: Performance Analysis and DNN Evaluation,” IEEE Internet of Things Journal, May 2021. (MATLAB and Python code)

• Tri Nhu Do and Zygmunt J. Haas, “On the Design of RD-MIMO: Spatial Multiplexing versus Opportunistic Transmission Schemes,” IEEE Access, vol. 8, pp. 22733-22747, Jan. 2020.

• Tri Nhu Do, Van-Dinh Nguyen, Oh-Soon Shin and Beongku An, “Simultaneous Uplink and Downlink Transmissions for Wireless Powered Communication Networks ,” IEEE Communications Letters, vol. 23, no. 2, pp. 374-377, Feb. 2019. (MATLAB code)

• Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An, “Improving the Performance of Cell-Edge Users in NOMA Systems Using Cooperative Relaying,” IEEE Transactions on Communications, vol. 66, no. 5, pp. 1883-1901, May 2018. (MATLAB code)

• Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An, “Improving the performance of cell-edge users in MISO-NOMA systems using TAS and SWIPT-based cooperative transmissions,” IEEE Transactions on Green Communications and Networking, vol. 2, no. 1, pp. 49-62, Mar. 2018. (MATLAB code)

• Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, Vo Nguyen Quoc Bao, and Beongku An, “Exploiting direct links in multiuser multirelay SWIPT cooperative networks with opportunistic scheduling,” IEEE Transactions on Wireless Communications, vol. 16, no. 8, pp. 5410-5427, Aug. 2017. (MATLAB code)

• Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An, “A BNBF user selection scheme for NOMA-based cooperative relaying systems with SWIPT,” IEEE Communications Letters, vol. 21, no. 3, pp. 664-667, Mar. 2017. (MATLAB code)

• Tri Nhu Do, Daniel B. da Costa, and Beongku An, “Performance analysis of multirelay RF energy harvesting cooperative networks with hardware impairments,” IET Communications, vol. 10, no. 18, pp. 2551-2558, Jun. 2016.

• Tri Nhu Do, Vo Nguyen Quoc Bao, and Beongku An, “Outage Performance Analysis of Relay Selection Schemes in Wireless Energy Harvesting Cooperative Networks over Non-Identical Rayleigh Fading Channels,” Sensors, vol. 16, no.3, pp. 295, Feb. 2016.

• Tri Nhu Do and Beongku An, “A soft-hard combination-based cooperative spectrum sensing scheme for cognitive radio networks,” Sensors, vol. 15, no. 2, pp. 4388-4407, Feb. 2015.

• Tri Nhu Do and Beongku An, “Cooperative spectrum sensing schemes with the interference constraint in cognitive radio networks,” Sensors, vol. 14, no. 5, pp. 8037-8056, May 2014.

• Tri Nhu Do, Georges Kaddoum, Thanh Luan Nguyen, Daniel B. da Costa, and Zygmunt J. Haas, “Aerial Reconfigurable Intelligent Surface-Aided Wireless Communication Systems,” in Proc. 2021 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sep. 2021. (MATLAB and Python code)

• Tri Nhu Do, and Beongku An, “Optimal sum-throughput analysis for downlink cooperative SWIPT NOMA systems,” in Proc. 2018 IEEE International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), Ho Chi Minh city, Vietnam, Jan. 2018, pp. 85-90. (MATLAB code)

• Kyusung Shim, Tri Nhu Do, Beongku An, “Improving Physical Layer Security of NOMA Networks by Using Opportunistic Scheduling,” in Proc. 2018 IEEE International Conference on Ubiquitous and Future Networks (ICUFN), Prague, Czech Republic, Jul. 2018, pp. 262-267. Best Paper Award

• Kyusung Shim, Hyukchun Oh, Tri Nhu Do, Beongku An, “A Physical Layer Security-Based Transmit Antenna Selection Scheme for NOMA Systems,” in Proc. 2018 IEEE International Conference on Ubiquitous and Future Networks (ICUFN), Prague, Czech Republic, Jul. 2018, pp. 597-602.

• Kyusung Shim, Tri Nhu Do, and Beongku An, “A physical layer security-based routing protocol in mobile ad-hoc wireless networks,” in Proc. 20th IEEE International Conference on Advanced Communications Technology (ICACT), Gangwon-do, South Korea, Feb. 2018, pp. 417-422. Outstanding Paper Award

• Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An, “A full-duplex cooperative scheme with distributed switch-and-stay combining for NOMA networks,” in Proc. 2017 IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 2017, pp. 1-6.

• Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, and Beongku An, “Transmit antenna selection schemes for MISO-NOMA cooperative downlink transmissions with hybrid SWIPT protocol,” in Proc. 2017 IEEE International Conference on Communications (ICC), Paris, France, May 2017, pp. 1-6.

• Tri Nhu Do, Daniel B. da Costa, Trung Q. Duong, Vo Nguyen Quoc Bao, and Beongku An, “Opportunistic scheduling for fixed-gain amplify-and-forward-based multiuser multirelay SWIPT cooperative networks,” in Proc. 2017 IEEE International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), Da Nang, Jan. 2017, pp. 49-54.

• Tri Nhu Do, Le The Dung, Beongku An, and Sang-Yep Nam, “Connectivity of hybrid overlay/underlay cognitive radio ad hoc networks,” in Proc. 2016 IEEE International Conference on Electronics, Information, and Communication (ICEIC), Da Nang, Vietnam, Jan. 2016, pp. 1-4.

• Tri Nhu Do, Vo Nguyen Quoc Bao, and Beongku An, “A relay selection protocol for wireless energy harvesting relay networks,” in Proc. 2015 IEEE International Conference on Advanced Technologies for Communications, Vietnam, Oct. 2015, pp. 243-247.

• Tri Nhu Do and Beongku An, “Secure transmission using decode-and-forward protocol for underlay cognitive radio networks,” in Proc. 2015 IEEE International Conference on Ubiquitous and Future Networks (ICUFN), Sapporo, Japan, Jul. 2015, pp. 914-918.

• Tri Nhu Do and Beongku An, “Cooperative spectrum sensing schemes with the interference constraint in cognitive radio networks,” in Proc. 2014 IEEE International Symposium on Computer, Consumer and Control (IS3C), Taichung, Taiwan, Jun. 2014, pp. 1010-1013.

• Tri Nhu Do and Beongku An, “A discussion of cooperative spectrum sensing using Alamouti code in cognitive radio networks,” in Proc. 2013 The Institute of Electronics Engineers of Korea (IEEK) Summer Conference, Jeju Island, South Korea, Jun. 2013, pp. 1437-1438.

Book Chapter

• Tri Nhu Do, Georges Kaddoum, and Thanh Luan Nguyen, “Distributed Multi-IRS-aided 6G Wireless Networks: Channel Characterization and Performance Analysis,” (a book chapter in the book entitled “Intelligent Reconfigurable Surfaces (IRS) for Prospective 6G Wireless Networks,” Wiley, 2022.)

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