Defect-Tolerant and Energy-Efficient Training of Multi-Valued and Binary Memristor Crossbars for Near-Sensor Cognitive Computing. - Khoa Van Pham; Tien Van Nguyen; Kyeong-Sik Min (ASICON, 2019)

Defect-Tolerant Crossbar Training of Memristor Ternary Neural Networks. - Khoa Van Pham; Tien Van Nguyen; Kyeong-Sik Min (ICECS, 2019)

Hybrid deniable and short-key encryption protocols based on the authentication procedure. - Sy Tan Ho; Alexander Andreevich Moldovyan; Nikolay Andreevich Moldovyan; Canh Hoang Ngoc; Minh Nguyen Hieu 001; Lich Van Luu; Tien Van Nguyen; Manh Cong Tran (ACOMP, 2020)

Defect-Resilient Memristor Crossbar of Hierarchical Temporal Memory (HTM) Spatial Pooling for Near-IoT-Sensor Cognitive Computing. - Tien Van Nguyen; Ngoc-Thanh Le; Jiyong An; Kyeong-Sik Min (ICECS, 2020)

Training, Programming, and Correction Techniques of Memristor-Crossbar Neural Networks with Non-Ideal Effects such as Defects, Variation, and Parasitic Resistance. - Tien Van Nguyen; Jiyong An; Seokjin Oh (ASICON, 2021)

Comparative Study on Quantization-Aware Training of Memristor Crossbars for Reducing Inference Power of Neural Networks at The Edge. - Tien Van Nguyen; Jiyong An; Kyeong-Sik Min (IJCNN, 2021)

Quantization, training, parasitic resistance correction, and programming techniques of memristor-crossbar neural networks for edge intelligence. - Tien Van Nguyen; Jiyong An; Seokjin Oh; Son Ngoc Truong; Kyeong-Sik Min (Neuromorph. Comput. Eng., 2022)

Implementing VIETGAP Standard Based Shrimp Management System using Waterfall Model. - Lam Thanh Tong; Loan Thi Kim Nguyen; Long Thanh Nguyen; Danh Van Huynh; Tien Van Nguyen; Hoang Ngoc Tran; Luyl-Da Quach (ICIIT, 2023)

A real-time and ultra-low power implementation of an AI-assisted sonification algorithm for neonatal EEG. - Tien Van Nguyen; Aengus Daly; Feargal O'Sullivan; Sergi Gómez-Quintana 001; Andriy Temko; Emanuel M. Popovici (IWASI, 2023)