Professor 

• Computer Sciences

LWSN 3154G 

(765) 494-6964 

ayg@purdue.edu 

http://www.cs.purdue.edu/people/ayg 

B.E., Computer Science and Technology, University of Roorkee (India); M.S., Computer Engineering, Wayne State University; Ph.D., Computer Science, University of Minnesota 

Parallel and Distributed Computing Architectures, Algorithms, and Applications, Particle Dynamics Methods and Dense Linear System Solvers, Fast Algorithms for Data Compression and Analysis 

Assurable Software and Architecture 

Work focuses on distributed infrastructure deals with development of software support for dynamic clustered and multi-clustered environments. More recent work has been done on resource location and allocation mechanisms in peer-to-peer networks. 

AAAS, Sigma Xi. 

Compression of Particle Data for Hierarchical Approximation Techniques (with D.-Y. Yang, N. Ramakrishnan, and V. Sarin), ACM Transactions on Mathematical Software, Vol. 27, No. 3 (2001). 2D-Pattern Matching Image and Video Compression: Theory, Algorithms, and Experiments, IEEE Transactions on Image Processing (December 2001). Co-authored a textbook "Introduction to Parallel Computing: Design and Analysis of Algorithms" (2003) 

Professor Grama's research interests span the areas of parallel and distributed computing architectures, algorithms, and applications. His work on distributed infrastructure deals with development of software support for dynamic clustered and multiclustered environments. More recent work has focused on resource location and allocation mechanisms in peer-to-peer networks. His research on applications has focused on particle dynamics methods, their applications to dense linear system solvers, fast algorithms for data compression and analysis. Professor Grama has authored several papers and co-authored a text book "Introduction to Parallel Computing: Design and Analysis of Algorithms" with Vipin Kumar, Anshul Gupta, and George Karypis. He is a member of American Association for Advancement of Sciences and Sigma Xi.