leads the Boa project along with Tien Nguyen.
He is currently an Associate Professor of
Department of Computer Science at Iowa State University.
Hridesh's research aims to improve software quality and programmer
productivity by development and refinement of means of abstraction
in computer programming languages.
He has been recognized by the US National Science Foundation (NSF)
with a CAREER award in 2009 and by the college of LAS with an
Early Achievement in Research Award in 2010, and a Big-12 Fellowship in 2012.
Hridesh has extensive experience in developing new programming languages.
Prior to Boa, he developed the
Panini language, a language for easing
the Ptolemy language, an event-based
language for advanced separation of concerns.
He also developed the aspect-oriented language Eos.
Hridesh can be reached at .Tien N. Nguyen
is an Associate Professor in the Department of Electrical and Computer Engineering at Iowa State University. His research interests are
in Software Engineering, Program Analysis and Understanding, Mining Software
Repositories, Software Maintenance and Evolution, Version Control and
Configuration Management, Data Mining and Information Retrieval, and Web
Tien can be reached at .Robert Dyer
is an Assistant Professor in the Department
of Computer Science at Bowling Green State
University. His research interests are in Software Engineering, Programming
Language design and implementation, Mining Software Repositories, and Big Data
Robert can be reached at .Hoan Anh Nguyen
is a postdoctoral fellow in the Department of
Computer Science at Iowa State
University, where he works with Prof. Hridesh Rajan and Prof. Tien Nguyen. His research interests
are in program analysis, software evolution and maintenance, and mining software repository.
Hoan earned his Ph.D. degree from Iowa State University in Summer 2015, where his advisor was
Prof. Tien Nguyen.
Hoan can be reached at .
This material is based upon work supported by the US National Science Foundation (NSF)
under grants CNS-15-13263, CNS-15-12947, CCF-14-23370, CCF-13-49153, CCF-11-17937,
CCF-10-17334, and CCF-10-18600.
Any opinions, findings, and conclusions or recommendations expressed in this
material are those of the author(s) and do not necessarily reflect the views of
the National Science Foundation.