Advisors

Advisors

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Jon Sorenson

Jon Sorenson is a Professor and Head of the Computer Science and Software Engineering department at Butler University. He completed his PhD at the University of Winsconsin in 1991 and has been at Butler since then. Before that, he completed a Bachelors in Computer Science and Mathematics with a minor in Physics at Valparaiso University. His primary interest is in algorithmic number theory, which is the design and analysis of algorithms (including parallel algorithms) for problems that arise in number theory. The problems in number theory that interest him include factoring large integers, testing for primality and listing primes, computing greatest common divisors (such as Euclid’s algorithm), computing Jacobi symbols, and other related problems. For more information, click here

Panos Linos
Panos Linos

Panos Linos is a Professor of Computer Science and Software Engineering at Butler University. He has a Bachelor of Science degree in Mathematics from the University of Athens, Greece. He received an M.Sc. and a Ph.D. in Computer Science specializing in Software Engineering from Wayne State University, Detroit, Michigan. He is interested in crafting innovative Software Engineering curricula based on serious industrial participation and community service-learning. Professor Linos believes that the value of Software Engineering education comes from relating it to real life. He initiated and now coordinates the EPICS community service-learning program at Butler. For more information, click here

Ankur Gupta

Ankur Gupta is an Associate 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. For more information, click here.

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Zhi-Hong Chen

Zhi-Hong Chen is a Professor of Computer Science at Butler University. He studied at Wayne State University in Detroit Michigan where he graduated with a Masters Degree in Computer Science and a PhD in Mathematics . Professor Chen specializes in image processing and pattern recognition. For more information, click here.

 

 

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