Area of research
Electrical and Electronic Engineering · Computer Networks and Communications
Research interest
Research focused on Deep learning and Artificial intelligence, with related work in Estimation, Perovskite (structure), Algorithm. Notable publications include 'Single crystal hybrid perovskite field-effect transistors', 'Radio Frequency Fingerprint Identification for LoRa Using Deep Learning', and 'Machine Learning for Intelligent Authentication in 5G and Beyond Wireless Networks'.
Retrieval-Augmented Generation for GenAI-Enabled Semantic Communications
A Novel Physical Spoofing Technique Using Radio Frequency Fingerprint Emulation and Model Fitting
SpectrumLLM: Large Language Models for Next-Generation Spectrum Prediction
SDOA-Net: An Efficient Deep-Learning-Based DOA Estimation Network for Imperfect Array
Multi-Channel CNN-Based Open-Set RF Fingerprint Identification for LTE Devices
Ambient IoT Toward 6G: Standardization, Potentials, and Challenges
A RIS-Based Vehicle DOA Estimation Method With Integrated Sensing and Communication System
Joint Sampling and Reconstruction of Time-Varying Signals Over Directed Graphs
Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm
Vulnerability Analysis of Smart Contract for Blockchain-Based IoT Applications: A Machine Learning Approach
Radio Frequency Fingerprint Identification for LoRa Using Deep Learning
AI-Enabled Sub-6-GHz and mm-Wave Hybrid Communications: Considerations for Use With Future HSR Wireless Systems
Machine Learning for Intelligent Authentication in 5G and Beyond Wireless Networks
Multiuser Resource Control With Deep Reinforcement Learning in IoT Edge Computing
Single crystal hybrid perovskite field-effect transistors
A Survey of Collaborative Filtering-Based Recommender Systems for Mobile Internet Applications