• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE-CS_LogoTM-orange
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
IEEE-CS_LogoTM-orange

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2026 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • /Profiles
  • Home
  • /Profiles

Srinivas Aluru

Award Recipient

Featured Image

Srinivas Aluru

is a Regents' 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
LATEST NEWS
Designing Secure Registration-Free Digital Experiences with Cloud-Native Microservices
Designing Secure Registration-Free Digital Experiences with Cloud-Native Microservices
Scalable Cloud Architecture for Coordinated Criminal Justice Reentry Services
Scalable Cloud Architecture for Coordinated Criminal Justice Reentry Services
The New AI Engineer: Skills Beyond Prompting That Will Matter in 2030
The New AI Engineer: Skills Beyond Prompting That Will Matter in 2030
Squeezing Maximum AI into Minimal Hardware
Squeezing Maximum AI into Minimal Hardware
The Shaw Prize in Computer Science: Nominations Now Open
The Shaw Prize in Computer Science: Nominations Now Open
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter
Read Next

Designing Secure Registration-Free Digital Experiences with Cloud-Native Microservices

Scalable Cloud Architecture for Coordinated Criminal Justice Reentry Services

The New AI Engineer: Skills Beyond Prompting That Will Matter in 2030

Squeezing Maximum AI into Minimal Hardware

The Shaw Prize in Computer Science: Nominations Now Open

When the Defender Becomes the Attack Surface

IEEE Computer Society Announces 2027 Emerging Technology Grant Recipients and Addresses Pivotal Topics in Computer Science and Engineering

When AI Fails: Engineering Fault-Tolerant Mission-Critical Systems