Area of research
Computer Networks and Communications · Artificial Intelligence
Research interest
Research focused on Artificial intelligence and Cloud computing, with related work in Intrusion detection system, Drug, Niclosamide. Notable publications include 'Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets', 'System modelling and performance evaluation of a three-tier Cloud of Things', and 'Computational Discovery of Niclosamide Ethanolamine, a Repurposed Drug Candidate That Reduces Growth of Hepatocellular Carcinoma Cells In Vitro and in Mice by Inhibiting Cell...'.
Ill-Conditioned Power Flow Calculation in Urban Rail Traction Power Supply System
Hybrid machine learning and optimization method for solar irradiance forecasting
An online train-grid integration energy optimization method for urban rail system
A Blockchain-Based Multi-Users Oblivious Data Sharing Scheme for Digital Twin System in Industrial Internet of Things
Deep-Learning-Based Weak Electromagnetic Intrusion Detection Method for Zero Touch Networks on Industrial IoT
Feasibility Analysis of Data Transmission in Partially Damaged IoT Networks of Vehicles
Adapting New Learners and New Resources to Micro Open Learning via Online Computation
U-net based analysis of MRI for Alzheimer’s disease diagnosis
Temporal Pyramid Network With Spatial-Temporal Attention for Pedestrian Trajectory Prediction
Exploiting 5G and Blockchain for Medical Applications of Drones
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays
A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series
Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium
Ensemble machine learning approaches for webshell detection in Internet of things environments
On the Robustness of Self-Attentive Models
Deep Multi-Level Semantic Hashing for Cross-Modal Retrieval
Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets
Computational Discovery of Niclosamide Ethanolamine, a Repurposed Drug Candidate That Reduces Growth of Hepatocellular Carcinoma Cells In Vitro and in Mice by Inhibiting Cell Division Cycle 37 Signaling
Efficient vulnerability detection based on an optimized rule-checking static analysis technique
System modelling and performance evaluation of a three-tier Cloud of Things