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Jongsik LEE

Date:2025-05-26

 

 

【Biography】

Graduated from Inha University, Incheon, South Korea BS. Department of Electronics Engineering in 1993, Inha University, Incheon, South Korea MS. Department of Electronics Engineering in 1995 and University of Arizona. Tucson, AZ Ph.D. Department of Electrical & Computer Engineering in 2001. He became a professor at Inha Univ., Dept. of Computer Engineering, Incheon, South Korea in 2012. He is a journal reviewer of Society of Computer Simulation Transaction, Modeling Technology Society of Computer Simulation Transaction, Simulation Society of Computer Simulation Transaction, Special Issue (DEVS Application). He was a Program Committee Member of The 3rd Asian Symposium on Geographic Information Systems from Computer Science & Engineering View.

【Research interests】

  • Software Modeling and Simulation:Software System Design /Analysis /Development /Reliability, Component-based Software Engineering,Object-Oriented System Design;

  • Digital Twin and Learning:Software Knowledge,Modeling and Simulation,Data Science,Improved Product and Service;

  • Computer Networking - Middleware (Transport Layer):Middleware for Ubiquitous Computing(RFID Middleware), Grid Middleware,HLA(High Level Architecture)

  • High Performance Parallel and Distribution Computing:Data Management in Distributed Computing,Space-based Communication Data Management in Parallel & Distributed Computing,High Performance Scientific Computing

    【Research related Awards】

    【Selected Publications】

    Improved Prediction of the Pathologic Stage of Patient With Prostate Cancer Using the CART-PSO Optimization Analysis in the Korean Population , TECHNOLOGY IN CANCER RESEARCH & TREATMENT , 16권6호, pp. 740~748 , 2017

    사물인터넷환경에서센서데이터의처리를위한적응형우선순위큐기반의작업스케줄링,멀티미디어학회논문지, 20권9호, pp. 1559~1566 , 2017

    PARTICLE SWARM OPTIMIZATION BASED INVENTORY POLICY FOR WHOLESALE BUSINESS IN DEVS-BASED MEDICINE SUPPLY CHAIN , INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE , 24 , pp. 146~161 , 2017

    Particle swarm optimization-deep belief network-based rare class prediction model for highly class imbalance problem, CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE , 29 , 2017

    【Email】

    jslee@inha.ac.kr


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