Aditya Akella
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IIT Madras (B.Tech 2000)
Aditya Akella | |
|---|---|
 | |
| Born | |
| Alma mater | Carnegie Mellon University (PhD 2005) IIT Madras (B.Tech 2000) |
| Spouse | Shuchi Chawla |
| Scientific career | |
| Fields | Computer Science, Computer Networking, Distributed Systems, Machine Learning |
| Institutions | University of Texas at Austin
University of Wisconsin–Madison Stanford University |
| Doctoral advisor | Srinivasan Seshan |
| Website | www |
Srinivasa Aditya Akella is a computer scientist, professor and Regents Chair Professor at the University of Texas at Austin. He is notable for research in software-defined networking,[1] big data systems,[2] low latency networking, content distribution[3] and network function virtualization.
Akella completed his undergraduate studies at the Indian Institute of Technology, Madras in 2000, then received his PhD in 2005 from Carnegie Mellon University with a thesis titled End Point-based Routing Strategies for Improving Internet Performance and Resilience. His doctoral advisor was Srinivasan Seshan.[4][5] He completed a post-doc at Stanford University working with Nick McKeown where he worked on early efforts in SDN.[6] In 2006 Akella joined the University of Wisconsin-Madison as an assistant professor, then later became an associate professor in 2012 and a full professor in 2017. In 2021, he joined the UT Austin Computer Science Department.
He leads the UT Networked Systems (UTNS) Research Group[7] and is one of the Principal Investigators leading CloudLab.[8] In 2014, SIGCOMM gave him their Rising Star Award for contributions to network management and content delivery.[9] Akella holds over 15 patents related to computer networking and distributed systems.[10] He has published 225 research papers in refereed international conferences and journals with his coworkers and his publications have been cited over 10,000 times (H-index=53).[4][11]
Akella was chosen as a finalist in Physical Sciences and Engineering for both the 2021 and 2020 Blavatnik National Award for his contributions to improving the speed, efficiency and reliability of data center infrastructure.[12][13] His ongoing research focuses on systems for machine learning, low latency networking, big data systems and intent-driven networking.[14]
Awards
- 2023: ACM Fellow[15]
- 2021: Blavatnik Awards for Young Scientists, Finalist[12][16]
- 2020: Blavatnik Awards for Young Scientists, Finalist[13][17]
- 2018: H.I. Romnes Faculty Associate[18]
- 2017: Vilas Associate[19]
- 2015: Internet Research Task Force Applied Networking Research Prize[19]
- 2014: SIGCOMM Rising Star Award[9]
