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Tae-Hyuk (Ted) Ahn, Ph.D.

Associate Professor
Department of Computer Science

Courses Taught

CSCI 4610 Concurrent and Parallel Programming, CSCI 5610 Concurrent and Parallel Programming, BCB 5250 Introduction Bioinformatics II, CSCI 4850 High-Performance Computing, CSCI 5850 High-Performance Computing, BCB 5250 Introduction Bioinformatics II

Education

  • Ph.D. in Computer Science, Virginia Tech
  • M.S. in Electrical and Computer Engineering, Northwestern University
  • B.S. in Electrical Engineering, Yonsei University

Dr. Tae-Hyuk (Ted) Ahn received a B.S. degree in electrical engineering from Yonsei University in 2000 and worked for Samsung for four years in South Korea. He received an M.S. degree in electrical and computer engineering from Northwestern University in 2007 and a Ph.D. degree in computer science from Virginia Tech in 2012.

After he worked at Oak Ridge National Laboratory, he joined 91女神 in 2015 where he is currently an assistant professor.

His research interests include bioinformatics, high-performance computing, big data analytics, and computational science.

Research Interests

Bioinformatics and High-Performance Computing

Publications and Media Placements

  • Matthew J. McCoy, Alexander J. Paul, Matheus B. Victor, Michelle Richner, Harrison W. Gabel, Haijun Gong, Andrew S. Yoo, and Tae-Hyuk Ahn. 鈥淟ONGO: an R package for interactive gene length dependent analysis for neuronal identity鈥�. In: Bioinformatics 34.13 (2018), pp. i422鈥搃428. doi: 10.1093/bioinformatics/bty243. url: .
  • Alexander J. Paul, Dylan Lawrence, and Tae-Hyuk Ahn. 鈥淥verlap Graph Reduction for Genome Assembly using Apache Spark鈥�. In: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2017, Boston, MA, USA, August 20-23, 2017. 2017, p. 613. doi: 10.1145/3107411.3108222. url: .
  • Tae-Hyuk Ahn, Adrian Sandu, Layne T. Watson, Clifford A. Shaffer, Yang Cao, and William T. Baumann. 鈥淎 Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations鈥�. In: International Journal of Parallel Programming 43.4 (2015), pp. 597鈥�630. doi: 10.1007/s10766-014-0309-6. url: .
  • Tae-Hyuk Ahn, Juanjuan Chai, and Chongle Pan. 鈥淪igma: Strain-level inference of genomes from metagenomic analysis for biosurveillance鈥�. In: Bioinformatics 31.2 (2015), pp. 170鈥�177. doi: 10.1093/bioinformatics/btu641. url: .
  • Bahlul Haider, Tae-Hyuk Ahn, Brian Bushnell, Juanjuan Chai, Alex Copeland, and Chongle Pan. 鈥淥mega: an Overlap-graph de novo Assembler for Metagenomics鈥�. In: Bioinformatics 30.19 (2014), pp. 2717鈥�2722. doi: 10.1093/bioinformatics/btu395. url: .
  • Tae-Hyuk Ahn, Adrian Sandu, and Xiaoying Han. 鈥淚mplicit Simulation Methods for Stochastic Chemical Kinetics鈥�. In: CoRR abs/1303.3614 (2013). arXiv: 1303.3614. url: .
  • Yingfeng Wang, Tae-Hyuk Ahn, Zhou Li, and Chongle Pan. 鈥淪ipros/ProRata: a versatile informatics system for quantitative community proteomics鈥�. In: Bioinformatics 29.16 (2013), pp. 2064鈥�2065. doi: 10.1093/bioinformatics/btt329. url: .
  • Damian Dechev and Tae-Hyuk Ahn. 鈥淯sing SST/Macro for Effective Analysis of MPI-Based Applications: Evaluating Large-Scale Genomic Sequence Search鈥�. In: IEEE Access 1 (2013), pp. 428鈥�435. doi: 10.1109/ACCESS.2013.2272434. url: .
  • Tae-Hyuk Ahn and Adrian Sandu. 鈥淔ully implicit tau-leaping methods for the stochastic simulation of chemical kinetics鈥�. In: 2011 Spring Simulation Multi-conference, SpringSim 鈥�11, Boston, MA, USA, April 03-07, 2011. Volume 6: Proceedings of the 19th High Performance Computing Symposia (HPC). 2011, pp. 118鈥�125. url: .
  • Tae-Hyuk Ahn, Damian Dechev, Heshan Lin, Helgi Adalsteinsson, and Curtis L. Janssen. 鈥淓valuating Performance Optimizations of Large-scale Genomic Sequence Search Applications using SST/macro鈥�. In: SIMULTECH 2011 - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Noordwijkerhout, The Netherlands, 29 - 31 July, 2011. 2011, pp. 65鈥�73.
  • Tae-Hyuk Ahn and Adrian Sandu. 鈥淧arallel stochastic simulations of budding yeast cell cycle: load balancing strategies and theoretical analysis鈥�. In: Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, BCB 2010, Niagara Falls, NY, USA, August 2-4, 2010. 2010, pp. 237鈥�246. doi: 10.1145/1854776.1854811. url: .
  • Tae-Hyuk Ahn, Pengyuan Wang, Layne T. Watson, Yang Cao, Clifford A. Shaffer, and William T. Baumann. 鈥淪tochastic cell cycle modeling for budding yeast鈥�. In: Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, San Diego, California, USA, March 22-27, 2009. 2009. url: .
  • Tae-Hyuk Ahn, Yang Cao, and Layne T. Watson. 鈥淪tochastic Simulation Algorithms for Chemical Reactions鈥�. In: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes. 2008, pp. 431鈥�436.