John Regehr is affiliated with the University of Utah in the United States and conducts research primarily in the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Hardware and Architecture, Software, Information Systems, and Signal Processing.
Their research focuses on topics such as Software Testing and Debugging Techniques, Parallel Computing and Optimization Techniques, Software Engineering Research, Advanced Malware Detection Techniques, Embedded Systems Design Techniques, Logic, Programming, and Type Systems, as well as Reservoir Engineering and Simulation Methods.
John Regehr has published extensively, with a notable number of publications appearing in the Proceedings of the ACM on Programming Languages. Other publication venues include arXiv (Cornell University) and the Artifact Digital Object Group.
Recent papers authored by or involving John Regehr include:
Frequent coauthors who have collaborated on multiple publications with John Regehr include:
Xuejun Yang;Yang Chen;Eric Eide;John Regehr
John Regehr;Yang Chen;Pascal Cuoq;Eric Eide
John Regehr;Alastair Reid;Kirk Webb
Will Dietz;Peng Li;John Regehr;Vikram Adve
J. Regehr;J.A. Stankovic
Yang Chen;Alex Groce;Chaoqiang Zhang;Weng-Keen Wong
Michael B. Jones;John Regehr
Nathan Cooprider;Will Archer;Eric Eide
Raimondas Sasnauskas;John Regehr
Nuno P. Lopes;David Menendez;Santosh Nagarakatte;John Regehr
J. Regehr
Alex Groce;Chaoqiang Zhang;Eric Eide;Yang Chen
John Regehr
Peng Li;John Regehr
Eric Eide;John Regehr
Vsevolod Livinskii;Dmitry Babokin;John Regehr
Pascal Cuoq;Benjamin Monate;Anne Pacalet;Virgile Prevosto
J. Regehr;A. Reid;K. Webb;M. Parker
Lu Zhao;Guodong Li;Bjorn De Sutter;John Regehr
Yang Chen;Omprakash Gnawali;Maria Kazandjieva;Philip Levis
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