Duc Ngoc Minh Dang, Ph.D.
AiTA Lab
Department of Computing Fundamental
FPT University, Ho Chi Minh Campus 71216
I received the B.Eng and M.Eng degrees in Telecommunications Engineering from Ho Chi Minh City University of Technology, Vietnam, in 2005 and 2007, respectively and the Ph.D. degree in Computer Engineering from Kyung Hee University, Korea , in 2014. My research interests include the MAC protocols in Wireless Ad hoc Networks, Vehicular Ad hoc Networks, Deep Learning and Internet of Things.
From 2005 to 2008, I was a Senior Telecom Engineer with TMA Solutions company, Vietnam. I joined Ton Duc Thang University, Vietnam, where I worked as Head of Electronics and Telecommunications Engineering Department and Laboratory Head from 2008 to 2011. From 2011 to 2014, I worked as a Ph.D. assistant and a post-doc researcher at Kyung Hee University, Korea. From 2015 to 2022, I worked as Vice Dean, School of Graduate Studies, Ton Duc Thang University, Vietnam. Currently, I work at AiTA Lab, FPT University, Ho Chi Minh City, Vietnam.
news
Nov 8, 2024 | Our paper has been accepted for publication in IEEE Transactions on Emerging Topics in Computational Intelligence: Vo Phuc Tinh, Tran Anh Khoa, Pham Duc Lam, Nguyen Hoang Nam, Duc Ngoc Minh Dang, Duy-Dong Le, Thai-Thinh Dang, Van-Luong Nguyen, Thanh-Qui Pham and Thai-Binh Nguyen, “SMixSL: The Smashed-Mixture Technique for Split Learning with Localizable Features” |
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Oct 1, 2024 | Our paper has been accepted for publication in IEEE Access: Vo Phuc Tinh, Hoang Hai Son, Duc Ngoc Minh Dang, Nguyen Hoang Nam, Duy-Dong Le, Thai-Binh Nguyen, Thanh-Qui Pham, Van-Luong Nguyen, Duy-Thanh Huynh, Tran Anh Khoa, “CroSSHeteroFL: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients”, IEEE Access, 2025 |
Sep 23, 2024 | Our paper of AiTA Lab has been accepted: Duong Thanh Tran, Nguyen Doan Hieu Nguyen, Trung Thanh Pham, Phuong-Nam Tran, Thuy-Duong Thi Vu, Cuong Tuan Nguyen, Hanh Dang-Ngoc, Duc Ngoc Minh Dang, SwinTExCo: Exemplar-based Video Colorization using Swin Transformer, Expert Systems with Applications, 2024 |
selected publications
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Waste Management System Using IoT-Based Machine Learning in UniversityWireless Communications and Mobile Computing, Feb 2020
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An Efficient and Reliable MAC in VANETsIEEE Communications Letters, Apr 2014
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HER-MAC: A Hybrid Efficient and Reliable MAC for Vehicular Ad hoc NetworksApr 2014