Srinivas Aluru is a professor in the School of Computational Science and Engineering within the College of Computing at Georgia Institute of Technology. He conducts research in high performance computing, bioinformatics and systems biology, combinatorial scientific computing, and applied algorithms. He pioneered the development of parallel methods in computational biology, and contributed to the assembly and analysis of complex plant genomes. His group is currently focused on developing bioinformatics methods for high-throughput DNA sequencing, particularly error correction and genome assembly. In systems biology, his group is working on network inference methods using mutual information and Bayesian approaches, and network analysis techniques to further the knowledge of partially characterized pathways. His contributions in scientific computing lie in parallel Fast Multipole Method, domain decomposition methods, spatial data structures, and applications in computational electromagnetics and materials informatics. Aluru is a Fellow of the American Association for the Advancement of Science (AAAS) and the Institute for Electrical and Electronic Engineers (IEEE). He is a recipient of the NSF Career award (1997), IBM faculty award (2002), and Swarnajayanti fellowship from the Government of India (2007). He serves on the editorial boards of the IEEE Transactions on Parallel and Distributed Systems, the Journal of Parallel and Distributed Computing, and the International Journal of Data Mining and Bioinformatics

Previously, Aluru held faculty positions at Iowa State University, Indian Institute of Technology Bombay, New Mexico State University, and Syracuse University. Immediately prior to joining Georgia Tech, Aluru spent 14 years working as a faculty in the Department of Electrical and Computer Engineering at Iowa State University. At Iowa State, he held the Ross Martin Mehl and Marylyne Munas Mehl endowed professorship (2009-2013) and the Richard Stanley Chair in Interdisciplinary Engineering in the College of Engineering (2006-2009). He chaired the interdepartmental Bioinformatics and Computational Biology graduate program (2005-2007), served as associate chair for research in the department (2003-2006), and led the Dean's Research Initiative in high-throughput computational biology, a multi-disciplinary and multi-investigator initiative at the interface of high performance computing and computational biology. He was a recipient of university level awards for Outstanding Achievement in Research (2011) and Mid-career Achievement in Research (2006), Young Engineering Faculty Research Award (2002) within the College of Engineering, and the Warren B. Boast Undergraduate Teaching Award (2005).

Recent Keynotes/Invited/Distinguished talks

  • Large-scale metagenomic clustering via quasi-clique enumeration and read assignment ambiguity resolution, First International Workshop on Big Data in Life Sciences (BigLS), New Orleans, Louisiana, June 13, 2013.
  • Parallel methods for Bayesian network structure learning, Keynote at the Workshop on Parallel and Distributed Computing for Machine Learning and Inference Problems (ParLearning), Boston, Massachusetts, May 24, 2013.
  • Genomes galore: Bigdata challenges in the biosciences, Keynote at the 41st International Conference on Parallel Processing (ICPP), Pittsburgh, Pennsylvania, September 13, 2012.
  • Improving NGS data quality through error correction algorithms, Genome Sequencing and Annotation Symposium, University of Florida, April 12, 2012.
  • The new era in genomics: Opportunities and challenges for high performance computing, Computational Science and Engineering Distinguished Lecture, Georgia Institute of Technology, Atlanta, Georgia, March 9, 2012.
  • Reverse engineering whole-genome networks, 2nd IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), Las Vegas, February 24, 2012.
  • Parallel graph algorithmic challenges in high-throughput sequence assembly, Workshop on parallel algorithms and software for analysis of massive graphs (ParGraph), Bengaluru, India, December 17, 2011.
  • Reverse engineering whole-genome networks using high performance parallel computers, 2nd Conference on Systems Biology and New Sequencing Techniques, International Center for Theoretical Physics, Trieste, Italy, November 3, 2011.
  • Error correction algorithms for next-generation sequencing, NSF Workshop on Next-generation Sequencing Technology and Algorithms for Primary Data Analysis, Institute for Physical and Applied Mathematics, University of California Los Angeles, Los Angeles, California, October 4, 2011.
  • Reverse engineering whole-genome networks, 26th International Supercomputing Conference (ISC), Hamburg, Germany, June 23, 2011.
  • Next-gen sequencing: Data intensive computing in the biosciences, Dept. of Computer Science, Rice University, May 11, 2011.
  • The new era in genomics: Opportunities and challenges for high performance computing, IBM T.J. Watson Research Center, Yorktown Heights, New York, May 19, 2010.
  • The new era in genomics: Opportunities and challenges for high performance computing, keynote talk at the 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Atlanta, Georgia, April 21, 2010.
  • The new era in computational genomics: Opportunities and challenges for high performance computing, distinguished lecture, Dept. of Computer Science, Texas A\&M University, College Station, Texas, February 16, 2010.

Current Funded Projects

  • S. Aluru, W. Feng, K. Olukotun, P. Schnable, C. Sing and J. Zola, NSF/NIH Bigdata Initiative, BIGDATA: Mid-Scale: DA: Collaborative Research: Genomes Galore - Core Techniques, Libraries, and Domain Specific Languages for High-Throughput DNA Sequencing, Jan 2013 -- Dec 2015.
  • S. Aluru, K. Dorman and P.S. Schnable, National Science Foundation, AF:Medium: Parallel Algorithms and Software for High-throughput Sequence Assembly, May 2012 -- Apr 2015.
  • S. Aluru, S. Dwarakadas, and M. L. Scott, National Science Foundation, Collaborative Research:XPS:CLCCA: Performance Portable Abstractions for Large-Scale Irregular Computations, Sep 2013 -- Aug 2016.
  • A. Somani, S. Aluru, R. Fox, E. Takle and M. Gordon, National Science Foundation, MRI: Acquisition of a HPC system for Data-Driven Discovery in Science and Engineering, Aug 2012 -- July 2015.
  • K. Dorman, S. Aluru, B. Blitvich, and A. Ramamoorthy, National Science Foundation, ATD: Models for (Meta)Genome Identification from Next Generation Sequence Data with Errors, Sep 2011 -- July 2014.
  • Y. Yin, M. Aluru and S. Aluru, National Science Foundation, Signaling Network for Brassinosteroid-Regulated Gene Expression in Arabidopsis, Feb 2013 -- Jan 2016.

Conference Leadership

  • Co-Chair, IEEE International Workshop on High Performance Computational biology (HiCOMB), held in conjunction with IPDPS each year.
  • Program Vice Chair for Applications, 43rd International Conference on Parallel Processing (ICPP), Minneapolis, Minnesota, September 2014.
  • Program Co-Chair, ACM Bioinformatics, Computational Biology and Biomedicine (BCB) Conference, Washington D.C., October 2013.
  • Co-General Chair, IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), New Orleans, Louisiana, August 2013.
  • Program Chair, Workshop on Parallel Algorithms and Software for Analysis of Massive Graphs (ParGraph), International Conference on High Performance Computing, Pune, India, December 18, 2012.
  • Panel Chair, ACM Bioinformatics, Computational Biology and Biomedicine(BCB) Conference, Orlando, Florida, October 2012.
  • Program Vice-Chair for Algorithms Design and Parallelism, 41st International Conference on Parallel Processing (ICPP), Pittsburgh, Pennsylvania, September 2012.
  • Steering committee member, IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2011 - present..
  • Steering committee member, IEEE International Conference on High Performance computing (HiPC), 2006-2008, 2010 - present

Handbook of Computational Molecular Biology

Aluru's book cover