Area of research
Computer Networks and Communications · Electrical and Electronic Engineering
Research interest
Research interests include IoT and Edge/Fog Computing, Privacy-Preserving Technologies in Data, Vehicular Ad Hoc Networks (VANETs), and Energy Harvesting in Wireless Networks.
Load Forecasting-Based Learning System for Energy Management With Battery Degradation Estimation: A Deep Reinforcement Learning Approach
Integration of PbS Quantum Dots with 3D-Graphene for Self-powered Broadband Photodetectors in Image Sensors
Enhancing SERS Sensitivity in N‐Graphene Hydrangea by Synergistic Charge‐Transfer and Excitation Light Absorption
Nitrogen-Doped 3D-Graphene Advances Near-Infrared Photodetector for Logic Circuits and Image Sensors Overcoming 2D Limitations
Nano-Oxide-Assisted Si/PbS CQD Heterojunction Photodetectors for Broadband Sensing
Deep-Reinforcement-Learning-Based Joint Caching and Resources Allocation for Cooperative MEC
Tracing the Flu Symptom Progression via a Smart Face Mask
High-Performance Near-Infrared Photodetector by Integration of PbS Quantum Dots With 3D-Graphene
Localized Surface Plasmon Resonance Enables Si-Based Near-Infrared Photodetector
Learning-based joint service caching and load balancing for MEC blockchain networks
Joint Parallel Offloading and Load Balancing for Cooperative-MEC Systems With Delay Constraints
Si-Based NIR Tunneling Heterojunction Photodetector With Interfacial Engineering and 3D-Graphene Integration
High‐Efficiency Photo‐Induced Charge Transfer for <scp>SERS</scp> Sensing in N‐Doped <scp>3D‐Graphene</scp> on Si Heterojunction
Investigation of a Highly Sensitive Surface-Enhanced Raman Scattering Substrate Formed by a Three-Dimensional/Two-Dimensional Graphene/Germanium Heterostructure
Dual-Enhanced Photodetectors Combining Graphene Plasmonic Nanoresonators With Germanium-on-Insulator Optical Cavities