Rahul Shah
Roy Paul Daniels Distinguished Professor
Division of Computer Science and Engineering
School of Electrical Engineering and Computer Science
Louisiana State University 

3272J Patrick F Taylor Hall
Baton Rouge, LA 70810

Email: rahul AT lsu DOT edu

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Description automatically generated with medium confidence

 

BRIEF BIO

Rahul Shah is a Professor of Computer Science and Engineering at Louisiana State University. He did PhD in Computer Science from Rutgers University (2002) under the supervision of Dr. Martin Farach-Colton, and B. Tech from Indian Institute of Technology Mumbai (1997). Prior to joining LSU, he was a postdoc at Purdue University under the supervision of Dr. Jeffrey Scott Vitter. He also spent a year as a Research Staff Member at IBM India Research Lab. He served as a Program Director for NSF Algorithmic Foundations from 2015-2019. He is a senior member of ACM.

RESEARCH INTERESTS

Broadly: Theoretical Computer Science, Algorithms, Data Structures
Specifically: Compressed Data Structures, String Matching, I/O-efficient Algorithms
Other areas of interests: Computational Biology, Uncertain and Ranked Databases

PUBLICATIONS

Google Scholar Profile  | CV

Selected Recent Publications

Note: Copyrights for each of these are with the respective publishers. This is for easy academic dissemination only.

·       Arnab Ganguly, Rahul Shah, Sharma V. Thankachan:
Fully Functional Parameterized Suffix Trees in Compact Space. In international colloquium on Automata, Languages, and programming (ICALP) 2022: 65:1-65:18 [Download]

·       Arnab Ganguly, Dhrumil Patel, Rahul Shah, Sharma V. Thankachan:
LF Successor: Compact Space Indexing for Order-Isomorphic Pattern Matching. . In international colloquium on Automata, Languages, and programming (ICALP) 2021: 71:1-71:19 [Download]        

·       Arnab Ganguly, Rahul Shah, Sharma V. Thankachan:
pBWT: Achieving Succinct Data Structures for Parameterized Pattern Matching and Related Problems, In ACM-SIAM Symposium on Discrete Algorithms (SODA), 2017  [Download]

·       Wing-Kai Hon, Rahul Shah, Sharma V. Thankachan, Jeffrey Scott Vitter, Space-Efficient Frameworks for Top-k String Retrieval, Journal of ACM, 2015 [Download]

COURSES

CSC 7300: Algorithms Design and Analysis
CSC 3102: Advance Data Structures and Algorithms Analysis
CSC 2262: Numerical Methods
CSC 2259: Discrete Structures

GRANTS

NSF Hecura (2006)
NSF Algorithms (2010)  
NSF Algorithms (2012)  
NSF Algorithms (2015)
NSF Algorithms (2021)

SERVICE

Editorial Boards: PeerJ Computer Science, MDPI Algorithms
Selected Conference Committees: SODA, DCC, ISAAC, IWOCA, CPM, SPIRE

PHD STUDENTS

Past

Sharma Thankachan (Phd 2014, Associate Professor at NCSU)
Arnab Ganguly (Phd 2017, Associate Professor at Univ. Wisconsin White-Water)
Manish Patil (Phd 2014, Research Scientist at Meta)
Sudip Biswas (Phd 2016, CTO @CYBERA)

Current

Lalita Sthapit

  

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