Multimedia Network LAB
at Inha University
Multimedia Network LAB is looking for passionate students to research with! Our research topics include AI-based wired and wireless networking technologies and applications.
인하대학교 멀티미디어네트워크 연구실에서는 학부생 인턴, 석사, 박사, 석박사통합과정 학생들을 모집하고 있습니다. 인공지능을 활용한 네트워크 시스템 구현 및 응용기술에 관심있는 학생들은 sjyoo@inha.ac.kr 로 연락바랍니다.
AI-based IoT and UAV Networking Architecture
Internet of Things (IoT) Platform Implementation
IoT-based Edge Computing Protocol Design and Implementation
AI-based Edge Computing Algorithms
Low Power MAC and Routing Protocol Design
In Network Processing
Task Offloading in 3-D Environments
UAV Flying Ad-hoc Network (FANET)
UAV Group Communication and Autonomous Networking
UAV-based Sensing Architecture and Path Planning
AI Technologies for IoT Platforms
Clustering, DNN/CNN/RNN Applications,
Reinforcement Learning
Bio-Inspired Algorithms (Particle Swarm Optimization, GA)
Machine Learning-based Networking Applications
Indoor Localization and Evacuation Management System Development
BLE Signal Strength-based Deep Neural Network for Positioning
Disaster Prediction Using Regression Techniques
Evacuation Path Optimization Using Reinforcement Learning
AR-based Evacuation Route Guidance
Vehicular Ad-hoc Network Management System
Vehicular Network Digital Twin Implementation
VANET MAC and Routing Protocol Design
Internet of Vehicle Network Architecture
Intelligent Military Tactical Wireless Network System
AI-based Cognitive Radio Policy Management System Implementation
Intelligent Vehicle Systems
Deep Reinforcement Learning-based Autonomous Driving
Autonomous Driving Virtual Simulation Environment Development: ML-Unity, SUMO
DQN-based Vehicle Autonomous Driving System
Vehicle Target Detection and Tracking Using UAV (Drones) in Urban Environments
UAV Path Planning
Dynamic Traffic Signal Control Using Deep Reinforcement Learning
Vehicle and Crosswalk Signal Control Using DQN and PPO DRL Architecture
Emergency Vehicle and Pedestrian Safety Aware Dynamic Traffic Signal Control Mechanisms
Wireless Network Core Technologies
IEEE 802.11 (WLAN), Zigbee, IEEE 802.15 (WPAN)
Wireless Sensor Network (WSN)
MAC and Ad-hoc Routing Protocols
Edge and Cloud Computing for WSN
Cognitive Radio Networking
Dynamic Resource Allocation and Automatic Device Reconfiguration
Cognitive Radio Ad-hoc Networking Using Machine Learning Technologies
INHA UNIVERSITY
HiTec Bldg. # 431 (LAB) #510(Professor) 100 Inha-ro, Michuhol-gu, Incheon 22212, KOREA