Ming-Chang (Leo) Lee
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| First Name | Ming-Chang (Leo) |
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| Last Name | Lee |
| Home Page | |
| LinkedIN: | |
| Company | SIMULA |
| about: | Researcher at ... |
| involved in Projects | |
| Keywords | Parallel and Distributed Computing, Big Data, Sentiment Analysis |
| Major Keywords from activities |
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_Lee.jpg)
- IoTSec (dealing with Security in IoT for Smart Grids, supported by: NFR, finished: 30 September 2020)
For a list of all projects, see Projects
- IoTSec Consortium f2f meeting summer (onThis property is a special property in this wiki. 6 June 2018)
- IoTSec Consortium f2f meeting (onThis property is a special property in this wiki. 29 March 2017)
- IoTSec Y1 Review Meeting (onThis property is a special property in this wiki. 23 November 2016)
- "Big Data for Energy" Workshop (onThis property is a special property in this wiki. 10 October 2016)
- Consortium F2F meeting September 2016 (onThis property is a special property in this wiki. 27 September 2016)
- Consortium meeting Jun2016 (onThis property is a special property in this wiki. 9 June 2016)
- WP2 f2f 6May2016 (onThis property is a special property in this wiki. 6 May 2016)
- Consortium Meeting Mar2016 (onThis property is a special property in this wiki. 8 March 2016)
- WP1 WP2 face2face meeting (onThis property is a special property in this wiki. 20 January 2016)
- Consortium meeting Dec2015 (onThis property is a special property in this wiki. 2 December 2015)
About
I am working on IoTSec project now and my research area is focusing on Cloud Computing and Big Data.
I have at least 13 years of programming experiences in Java and obtain a Sun Certified Java Programmer certificate (SCJP for short). In addition, I have approximately four years of experience working on an Apache open-source project called Hadoop and its various versions. What I did includes tracing the source codes of Hadoop MRv1 and Hadoop YARN (Both of them are open-source software framework and key technology in Cloud Computing), implementing job scheduling algorithms on Hadoop MRv1, deploying different versions of Hadoop in both a LAN cluster and a virtual private cluster, and conducting extensive experiments. I also have some experiences on Spark (which is an open source cluster computing framework), Storm on YARN (which is a system for processing streaming data in real time), and HBase (which is an open source, non-relational, distributed database for Cloud Computing).
