Introduction to DMS Research Group

The DMS research group is currently concentrating on research and development related to Smart Mobility Systems and Bio-Medical/Healthcare intelligent Services based on distributed system technology and deep learning-based artificial intelligence technology. (DMS 연구그룹은 현재 분산시스템 기술과 딥러닝 기반 인공지능 기술을 기반으로 스마트 모빌리티 시스템 및 바이오 메디컬/헬스케어 지능 서비스 관련 연구개발에 집중하고 있다).

Dstributed System Technology

By utilizing Cloud Platform Technology, which has been researched and developed for over 10 years, we are currently focusing on the development of “Intelligent Fog Computing (IFC)” technology, which is the core of the 4th Industrial Revolution and 5G technology. In particular, we are researching intelligent IoT gateway development suitable for “Intelligent Assistant for Silver” and “Digital Twin System for Urban Air Mobility” application fields, automatic construction of a safe, stable and scalable fog computing server system, and intelligent operation management technology. (10년 이상 연구 개발한 클라우드 플랫폼 기술을 활용하여 현재 4차 산업혁명과 5G 기술의 핵심인 ‘지능형 포그 컴퓨팅(IFC)’ 기술 개발에 주력하고 있습니다. 특히, “Intelligent Assistant for Silver” 및 “Digital Twin System for Urban Air Mobility” 응용 분야에 적합한 지능형 IoT 게이트웨이 개발, 안전하고 안정적이며 확장 가능한 포그 컴퓨팅 서버 시스템의 자동 구축 및 지능형 운영 관리 기술을 연구하고 있습니다).

Artificial Intelligence Technology

AlphaGo’s core technologies, Deep Learning and Deep Reinforcement Learning, are being developed in the form of Distributed Multi-Agent System. In particular, we focus on distributed intelligent fields such as Distributed Multi-Agent Cooperative and Competitive Systems, Real-time Multi-Object Tracking Systems, as well as natural language processing fields such as Question Answering, Question Generation, Auto Knowledge Construction, etc.

Core Research Focus

  • Automatic construction and intelligent operation management technology of intelligent fog computing platforms (IaaS, PaaS, SaaS, FaaS)
  • Hierarchical Distributed Intelligent Fog and Cloud Cooperative Service Platform technology based on Offloading/Caching technolog
  • Multi-Agent Deep Reinforcement Learning Technology based on Multiple Attentions
  • Cooperative Natural Language Conversation Technology based on Distributed Knowledge / Deep Learning
  • Distributed system quality evaluation technology based on stochastic reward net and discrete event simulation
  • Efficient and reusable SW Architecture design technology suitable for domain function and quality requirements

Contact

Office: Konkuk University New Engineering Building 1207
Email: dkmin at konkuk (Prof.Dugki Min, Ph.D) or ndrw5580 at konkuk (Sangwoo Jeon in Master Course)