Bio Notes
Kim-Hung Le is a lecturer at the University of Information Technology (VNUHCM-UIT), Vietnam National University Ho Chi Minh City, specializing in the AI in Internet of Things (AIoT). He earned his Ph.D. in IoT from Sorbonne University (France), and also holds Master’s degrees from Telecom ParisTech (France) and the University of Science (VNUHCM-US), following his Bachelor’s from UIT. His research focuses on key areas within AIoT, including edgeAI, smart applications, cybersecurity, and anomaly detection. In recognition of his significant contributions to science and technology, he was awarded the prestigious Vietnam Golden Globe for Science and Technology and named one of the Outstanding Young Vietnamese in the field of research in 2024.
News
- 2025-04 - Breakthrough: Our nNFST model enhances security with advanced multiclass novelty detection for network intrusion systems is published at Journal of Network and Computer Applications
- 2025-04 - Just published: TinyResViT - Our innovative hybrid model revolutionizes on-device corn leaf disease detection is published at Internet of Things
- 2025-04 - Our paper EF-CenterNet: An efficient anchor-free model for UAV-based banana leaf disease detection is published at Computers and Electronics in Agriculture Journal (7.7 IF, ISI-Q1)
- 2024-10 - Innovation in infrastructure: Our YOLO-based deep learning models transform UAV-assisted bridge inspection is presented at International Conference on Advanced Technologies for Communications (ATC)
- 2024-09 - Securing IoT networks: Our DeepNIDS framework leverages neural networks for superior intrusion detection is presented at IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)
- 2024-08 - Combating cyber threats: Our BERT-enhanced approach outperforms traditional methods in DGA botnet detection is presented at 13th International Conference on Control, Automation and Information Sciences (ICCAIS)
- 2024-07 - Defending web applications: Our XSShield solution combines novel datasets with lightweight AI to detect XSS attacks is published at Results in Engineering
- 2024-05 - Protecting web applications: Our unsupervised Gaussian Mixture Model effectively detects cyber attacks without human intervention is presented at The 13th Conference on Information Technology and Its Applications
- 2024-05 - Fighting cybercrime: Our novel dataset and deep learning solution takes phishing attack detection to the next level is presented at The 13th Conference on Information Technology and Its Applications
- 2024-05 - Revolutionizing smart agriculture: Our MobileH-Transformer enables real-time leaf disease detection for improved crop protection is published at Crop Protection
Recent Activities
- Associate Editor:
- PC Member: CITA (2025), ICCAIS (2024),
Selected Publications
Internet of Things
- (2025) TinyResViT: A lightweight hybrid deep learning model for on-device corn leaf disease detection
VL Truong-Dang, HT Thai, KH Le
In Internet of Things, 101495 - (2025) EF-CenterNet: An efficient anchor-free model for UAV-based banana leaf disease detection
HT Thai, KH Le, NLT Nguyen
In Computers and Electronics in Agriculture 231, 109927 - (2025) MobileH-Transformer: Enabling real-time leaf disease detection using hybrid deep learning approach for smart agriculture
HT Thai, KH Le
In Crop Protection 189, 107002 - (2023) Towards sustainable agriculture: A lightweight hybrid model and cloud-based collection of datasets for efficient leaf disease detection
HT Thai, KH Le, NLT Nguyen
In Future Generation Computer Systems 148, 488-500 - (2023) Brainyedge: An ai-enabled framework for iot edge computing
KH Le, KH Le-Minh, HT Thai
In ICT Express 9 (2), 211-221 - (2023) FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection
HT Thai, KH Le, NLT Nguyen
In Computers and Electronics in Agriculture 204, 107518 - (2021) AirGen: GAN-based synthetic data generator for air monitoring in Smart City
KH Le Minh, KH Le
In 2021 IEEE 6th International Forum on Research and Technology for Society and … - (2021) Towards AI‐based traffic counting system with edge computing
DL Dinh, HN Nguyen, HT Thai, KH Le
In Journal of Advanced Transportation 2021 (1), 5551976 - (2020) User-driven adaptive sampling for massive internet of things
L Kim-Hung, Q Le-Trung
In IEEE Access 8, 135798-135810 - (2017) An industrial iot framework to simplify connection process using system-generated connector
L Kim-Hung, SK Datta, C Bonnet, F Hamon, A Boudonne
In 2017 IEEE 3rd International Forum on Research and Technologies for Society …
Security
- (2025) nNFST: A single-model approach for multiclass novelty detection in network intrusion detection systems
XH Nguyen, KH Le
In Journal of Network and Computer Applications, 104128 - (2025) DetectVul: A statement-level code vulnerability detection for Python
HC Tran, AD Tran, KH Le
In Future Generation Computer Systems 163, 107504 - (2024) XSShield: A novel dataset and lightweight hybrid deep learning model for XSS attack detection
GH Luu, MK Duong, TP Pham-Ngo, TS Ngo, DT Nguyen, XH Nguyen, ...
In Results in Engineering 24, 103363 - (2023) The robust scheme for intrusion detection system in internet of things
DT Nguyen, KH Le
In Internet of Things 24, 100999 - (2023) Robust detection of unknown DoS/DDoS attacks in IoT networks using a hybrid learning model
XH Nguyen, KH Le
In Internet of Things 23, 100851 - (2022) Towards Remote Deployment for Intrusion Detection System to IoT Edge Devices
XT Do, KH Le
In Recent Advances in Internet of Things and Machine Learning: Real-World … - (2022) MidSiot: A multistage intrusion detection system for internet of things
N Dat-Thinh, H Xuan-Ninh, L Kim-Hung
In Wireless Communications and Mobile Computing 2022 (1), 9173291 - (2022) IMIDS: An intelligent intrusion detection system against cyber threats in IoT
KH Le, MH Nguyen, TD Tran, ND Tran
In Electronics 11 (4), 524 - (2022) Realguard: A lightweight network intrusion detection system for IoT gateways
XH Nguyen, XD Nguyen, HH Huynh, KH Le
In Sensors 22 (2), 432