As a member of the Big Data department, my role in this position was to provide big data solution for industry 4.0 challenges. During my stay at Fraunhofer IOSB-INA I designed and developed the functional prototype of what it will later might become an universal plataform for big data technologies at the industrial automation area.
During my time as a Research assistant I could focus full-time to finish and realize my projects done during my undergraduate research assistant experience. During this years I attended or published in the following conferences:
I have been working as an undergraduate lab intern in DICL lab since few month after my arrival at Korea. My stay of four years in this lab has gave me an unique experience in the computer sciences research challenging me to design and implement distributed frameworks which aim to compete current ones. Also, as a lab member I was enabled to attend several seminars from many great scientist from all the world.
FactoryStreaming is big data solution to analize, store and visualize real time data from Smart factories. It uses technologies such as stream processing, data pipelining, time series databases and industrial protocols
In this work I present a novel MapReduce framework prototype that efficiently utilizes a large distributed memory in cluster environments.
SunnySideUp provides a big data processing and storage framework called Velox. It has three main components: VeloxMR (fast MapReduce engine), VeloxDFS (Fair and balanced Distributed file system) and VeloxSQL (Distributed SQL engine). VeloxDFS was released on April’16 while VeloxMR is expected to be release in December’16.
Only foreigner in the South Korean team of 5 members in ASC’14. During this competition, our team moved to Guangzhou in China where inside the Tianhe-2 building and within a power budget of 3000 kwh, we builded and optimized our HPC cluster to perform the given software as most efficiently as possible. 16 countries participated in this competition. Most of our work relied in the kernel level settings/hacks of our CentOS, building optimization and tuning the MPI framework.
Three months after China, our team participated this new challenge. The competition was just another event inside the International Supercomputing Congress. Again the constraint of 3000 kwh was required, however this time our team brought the HPC cluster previously assembled in our university at Korea. (http://www.isc-events.com/isc14/student-cluster-competition.html)
The highest undergraduate student honor award at UNIST. Awarded for the outstanding contribution to UNIST during the previous two academic events.
As a cabinet member, our mission in the direction of UISO was leading and implementing improvements for the stay of the foreigners student at UNIST (at that time more than 150 students). This experience strongly helped me to build my leadership and initiative.