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Application Developer

New Taipei City, Taiwan


Hsin-Kai Chen received the B.S. degree and the M.S. degree in Computer Science and Information Engineering from Chung Hua University, Taiwan, in 2012 and 2014.
I am interested in development software , application and trying new things and challenging myself.
Recently, I research the Scala and Spark to replace Java and touch the big data.

Work Experience

Application Developer

Panton Inc., Houston

May 2016Jun 2016

To develop Apps on  NativeScript between iOS and Android for cutomers.

Software Engineer

Tizsoft Digital Technology, Yonghe District

Dec 2015May 2016

To develop the Automation of Posting AD that could publish the AD on FB, Google and Twitter, etc. It's will let bid and rank adjustable automatic.

Application Developer

AMIC, Hsinchu

Jan 2009Sep 2013

To develop software for customers and maintain the company's server, database and some systems.


Master's degree

Chung Hua University, Hsinchu City



Computer and Information Sciences


i-Office with Wireless Sensor Network (2009-2012)
Masters Dissertation
A Multi-Objective Genetic Approach for Planning Electric Vehicle Charging Station Location Problems with Dynamic Demands

Bachelor's degree

Chung-Hua University, Hsinchu City


Computer and Information Sciences


A Multi-objective Evolutionary Approach for Cloud Service Provider Selection Problems with Dynamic Demands

17th European Conference, EvoApplications 2014, Granada, Spain, April 23-25, 2014, Proceedings


Hsin-Kai Chen, Jian-Hung Chen


This paper describes a multi-objective evolutionary approach for solving cloud computing service provider selection problems with dynamic demands. In this investigated problem, not only the service purchase costs and transmission costs of service providers are different, but the demands of service requests also change over the given periods. The objective of this problem is to select a number of cloud service provider while optimizing the total service distance, the total number of serviced demand points, the total service purchase costs, and total transmission costs simultaneously in the given continuous time periods. A multi-objective genetic approach with a seeding mechanism is proposed to solve the investigated problems. Four trail benchmark problems are designed and solved using the proposed multi-objective evolutionary algorithm. The results indicate that the proposed approach is capable of obtaining a number of non-dominated solutions for decision makers.


Professional Working proficiency
Native proficiency
Limited working proficiency


Java, Scala, Git, C#, UNIX Shell script, Delphi, Android Development, AI, Strategic Planning.
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