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Welcome to Byung-Jun Yoon's homepage!

Short Bio

Current Position Associate Professor
Department of Electrical & Computer Engineering,
Texas A&M University, College Station, TX.
Education Ph.D., California Institute of Technology, Electrical Engineering, 2007.
M.S., California Institute of Technology, Electrical Engineering, 2002.
B.S.E. (summa cum laude), Seoul National University, Electrical Engineering, 1998.
Work Experience Assistant Professor, Texas A&M University, Department of Electrical & Computer Engineering, Jan.2008-Aug.2014
Post-Doc, California Institute of Technology, Electrical Engineering, Dec.2006-Oct.2007
Microsoft Research, Intern, Summer 2004, 2005, 2006.
SecureSoft Inc./Junghwa Systems Inc., Software Developer, 1998-2001.

Research Interests

Genomic Signal Processing (GSP), Bioinformatics, and Quantitative Systems Biology
Probabilistic Graphical Models & heir Application in Computational Biology
Noncoding RNA (ncRNA) Prediction, RNA Sequence Analysis
Network Biology & Comparative Analysis of Biological Networks

Honors & Awards

2015 Best Paper Award, 12th Annual MCBIOS Conference
2012 Faculty Early Career Development (CAREER) Award. National Science Foundation (NSF), USA
2011 Best Paper Award, 9th Asia Pacific Bioinformatics Conference (APBC)
2009 Student Led Award for Teaching Excellence (SLATE), Texas A&M University System, TX, USA
2004 Microsoft Research Ph.D. Fellowship, Microsoft Research, Redmond, WA, USA
2003 Best Paper Award (2nd place), 37th Asilomar Conference on Signals, Systems, and Computers
2001 Killgore Fellowship, California Institute of Technology, Pasadena, CA, USA
2001 Doctoral Scholarship, Korea Foundation for Advanced Studies (KFAS), Seoul, Korea

Selected Publications

Accurate multiple network alignment through context-sensitive random walk
Hyundoo Jeong and Byung-Jun Yoon, BMC Systems Biology, 9(Suppl 1):S7, 2015.
[BMC Systems Biology]
SMETANA: accurate and scalable algorithm for probabilistic alignment of large-scale biological networks Sayed Mohammad Ebrahim Sahraeian and Byung-Jun Yoon, PLoS One, 8(7): e67995, 2013. doi:10.1371/journal.pone.0067995
[preprint] [supplementary data] [PLoS One]
Quantifying the objective cost of uncertainty in complex dynamical systems
Byung-Jun Yoon, Xiaoning Qian, and Edward R. Dougherty, IEEE Transactions on Signal Processing, vol. 61, no. 9, pp. 2256-2266, May 2013.
[preprint] [IEEExplore]
RESQUE: Network reduction using semi-Markov random walk scores for efficient queryin g of biological networks
Sayed Mohammad Ebrahim Sahraeian and Byung-Jun Yoon, Bioinformatics, 28 (16): 2129-2136, 2012. doi:10.1093/bioinformatics/bts341
[preprint] [supplementary data] [Bioinformatics] [RECOMB extended abstract]
Comparative analysis of biological networks: hidden Markov model and Markov chain-based approach
Byung-Jun Yoon, Xiaoning Qian, and Sayed Mohammad Ebrahim Sahraeian, IEEE Signal Processing Magazine, 29(1):22-34, 2012.
[preprint] [IEEExplore]
PicXAA-R: efficient structural alignment of multiple RNA sequences using a greedy approach
Sayed Mohammad Ebrahim Sahraeian and Byung-Jun Yoon, BMC Bioinformatics, 12(Suppl 1):S38, 2011.
[preprint] [BMC Bioinformatics]
Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network
Junjie Su, Byung-Jun Yoon, and Edward R. Dougherty, BMC Bioinformatics, 11(Suppl 6):S8, 2010.
[BMC Bioinformatics]
PicXAA: greedy probabilistic construction of maximum expected accuracy alignment of multiple sequences
Sayed Mohammad Ebrahim Sahraeian and Byung-Jun Yoon, Nucleic Acids Research, 38(15): 4917-4928, 2010.
[Nucleic Acids Research]
Hidden Markov models and their applications in biological sequence analysis
Byung-Jun Yoon, Current Genomics, vol. 10, no. 6, pp. 402-415, Sep. 2009.
[preprint] [PubMed Central]
Computational identification and analysis of noncoding RNAs
Byung-Jun Yoon and P. P. Vaidyanathan, IEEE Signal Processing Magazine, Special Issue on Signal Processing Methods in Genomics and Proteomics, vol. 24, no. 1, pp. 64-74, Jan. 2007.
[preprint] [IEEExplore]


Mailing Address Dept. of Electrical & Computer Engineering
Texas A&M University
College Station, TX 77843-3128, USA
Email byung jun (only bold characters)

Last update: Nov. 3, 2015