Post Job Free
Sign in

Java Developer Computer

Location:
Austin, TX
Posted:
October 16, 2012

Contact this candidate

Resume:

Byungkon Kang Advisor: Prof. Kyomin Jung

Ph.D. Candidate abo2rx@r.postjobfree.com, Daejon

Korea http://aa.kaist.ac.kr

Education

KAIST Daejon, Korea

Master-Ph.D. Integrated Program in Computer Sciences 2007 - P resent

The University of Texas at Austin Austin, TX

B.Sc. in Computer Sciences 2002 - 2006

Research Statement

The main theme of my research is applying and analyzing probabilistic methods for the

purpose of

scaling existing machine learning algorithms. In addition, I am also interested in

applying such scalable

algorithms to problems that deal with large data sets, such as social network analysis

and locality-

sensitive hashing.

Publications

Byungkon Kang and Kee-Eung Kim, Exploiting Symmetries for Single- and Multi-agent

Partially

Observable Stochastic Domains, Artificial Intelligence (2012).

Byung Kang, Woosang Lim, and Kyomin Jung, Scalable Kernel k-Means via Centroid

Approximation, NIPS Workshop on Big Learning (BigLearn) (2011).

Byung Kon Kang, Kee-Eung Kim, Wook Jung, and Jin-Soo Kim, Reinforcement Learning for

Optimizing Flash Memory Cache Management, USENIX Workshop on Tackling Computer Systems

Problems with Machine Learning Techniques (SysML) (2008). (Invited poster)

Collaborated Research Projects

Large-scale Locality-Sensitive Hashing (LSH); co-work with Samsung Advanced Institute

of

Technology (2011, Fall present).

Decentralized control of Unmanned Aerial Vehicles (UAV); co-work with the department of

Aerospace Engineering (2010, Fall).

Anomaly detection in network access via online learning algorithms (individual

project); co-work

with Dr. Ruo Ando of the National Institute of Information and Communications Technology

(2009, Spring present).

Stochastic modeling and control of cognitive radio for 4G wireless network; co-work

with Samsung

Electronics and the department of Electrical Engineering (2009, Summer).

Experiences

Reviewer for the Journal of Machine Learning Research (JMLR), 2012.

KAIST Department of Computer Sciences webmaster (2009 2010).

Teaching Assistants:

CS492 Intelligent Robotics (2009, Spring), KAIST.

CS101 Introduction to Programming (2008 and 2009, Fall), KAIST (Be st TA Awa rd).

CS570 Artificial Intelligence (2007, Fall), KAIST.

CS310 Computer Organization and Programming (2005, Spring 2006, Spring), The

University of Texas at Austin.

Independent undergraduate research on computational linguistics, The University of

Texas at

Austin (2006, Spring) - Advisor: Prof. Jason Baldridge.

Tree-based similarity measure for semantic role labeling of natural language sentences.

Computer Lab. Proctor (2004, Fall), The University of Texas at Austin.

Conferences/Workshops Attended

KAIST-HKUST Joint Workshop on Error-Free Computing, 2012, Hong Kong.

th

25 Annual Conference on Neural Information Systems Processing (NIPS), 2011, Spain

(Poster

presentation at BigLearn workshop).

USENIX Workshop on Tackling Computer Systems Problems with Machine Learning Techniques

(SysML), 2008, USA (Poster presentation).

rd

23 Association for the Advancement of Artificial Intelligence (AAAI), 2008, USA.

Skills

Progra mming: Java (Sun-Certified Java Developer), C/C++, Ruby, Matlab

A

C omput e r ( ge ne ra l) : Eclipse, Office softwares, R, GAWK, LT X, GNU Emacs, ILOG

CPLEX

E

L a ngua ge s: Korean, English (native), Japanese (conversational), Spanish

(elementary)

Extra-Curricular Activities

TED (http://www.ted.com) translator volunteer (2010 present).

Taekkyon instructor volunteer for the Austin Korean Association (2006).

The University of Texas ACM student volunteer for student tutoring (2003, Spring

2004, Spring).

The University of Texas ACM student volunteer for Bedichek Middle School tutoring

(2003, Spring

2003, Fall).



Contact this candidate