On going projects

XAI-based Vessel Activity Monitoring

This project aims to provide explainable AI-based vessel activity monitoring service for Korea Coast Guard Satellite Application Project. The project includes runtime framework for maritime surveillance services that learn, deploy, and manage AI-based analysis models. It also performs service-specific analysis processing of real-time collected data and automates AI-based data management for new data that processes collected data by service.
#Key words: eXplainable AI, Time-Series Analysis, Satellite, Maritime
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Multi-agent RL for Cooperative UAV Mission

Our project focuses on developing advanced multi-agent reinforcement learning (RL) algorithms to enable unmanned aerial vehicles (UAVs) to perform cooperative missions with enhanced autonomy and efficiency.
#Key words: Multi-Agent RL, Drone Swarm, Cooperative RL
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Datacenter DL Acceleration Framework

Our research project aims to create an advanced DL acceleration framework tailored for datacenters, focusing on optimizing AI workload management and computational resource efficiency. We seek to develop various scheduling algorithms for enhancing the processing performance, scalability, and cost-effectiveness of AI applications.
#Key words: Mixed reality, Augmented reality, Virtual reality, Edge-Cloud computing
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Reinforcement Learning based Priority Scheduling

Our research project aims to develop a priority scheduling algorithm that, when given tasks outnumber the available resources, allows the scheduling agent to decide which task should be handled first to best meet the users' requirements. Reinforcement Learning and various other methods, such as MILP, are considered in this project.
#Key words: Priority Scheduling, Reinforcement Learning
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