Ankur Gupta: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 3: | Line 3: | ||
Ankur Gupta is an Assistant Professor of Computer Science and Software Engineering at Butler University. He finished his PhD from Duke University in 2007 under the guidance of Dean Jeffrey Scott Vitter. Prior to that, he finished a Bachelors in Mathematics, a Bachelors in Computer Science, and a Masters in Computer Science from the University of Texas at Dallas in 2000. His research interests are broadly in the area of design and analysis of algorithms and data structures, with recent application to such topics as data compression, text indexing, and dynamic and streaming data. | Ankur Gupta is an Assistant Professor of Computer Science and Software Engineering at Butler University. He finished his PhD from Duke University in 2007 under the guidance of Dean Jeffrey Scott Vitter. Prior to that, he finished a Bachelors in Mathematics, a Bachelors in Computer Science, and a Masters in Computer Science from the University of Texas at Dallas in 2000. His research interests are broadly in the area of design and analysis of algorithms and data structures, with recent application to such topics as data compression, text indexing, and dynamic and streaming data. | ||
Source: Center for Practical Wisdom, University of Chicago | |||
[[Category: Wisdom Scientists]] | [[Category: Wisdom Scientists]] | ||
Revision as of 01:36, 14 September 2020
Lecturer, Computer Science Butler University, United States
Ankur Gupta is an Assistant Professor of Computer Science and Software Engineering at Butler University. He finished his PhD from Duke University in 2007 under the guidance of Dean Jeffrey Scott Vitter. Prior to that, he finished a Bachelors in Mathematics, a Bachelors in Computer Science, and a Masters in Computer Science from the University of Texas at Dallas in 2000. His research interests are broadly in the area of design and analysis of algorithms and data structures, with recent application to such topics as data compression, text indexing, and dynamic and streaming data.
Source: Center for Practical Wisdom, University of Chicago