Andrew W. Appel is affiliated with Princeton University in the United States. Their research primarily focuses on computer science with extensive work across subfields including artificial intelligence, computational theory and mathematics, hardware and architecture, computer networks and communications, and sociology and political science. The main topics addressed in their work include logic, programming, and type systems; formal methods in verification; parallel computing and optimization techniques; security and verification in computing; numerical methods and algorithms; embedded systems design techniques; and internet traffic analysis and secure e-voting.
Among the recent papers by Andrew W. Appel are:
The venues where Appel has frequently published include:
Andrew W. Appel frequently collaborates with several co-authors, including Qinshi Wang, Philip B. Stark, John M. Li, Ariel Kellison, and Yves Bertot.
In recognition of their work, Appel was awarded the ACM Fellow in 1998 for significant research contributions in programming languages and compilers, as well as contributions to the ACM Transactions on Programming Languages and Systems.
Andrew W. Appel
Xinming Ou;Sudhakar Govindavajhala;Andrew W. Appel
Andrew W. Appel;Jens Palsberg
Unknown
Andrew W. Appel;Maia Ginsburg
A. W. Appel
A.W. Appel
A. W. Appel;J. R. Ellis;K. Li
Lal George;Andrew W. Appel
Andrew W. Appel;David McAllester
Andrew W. Appel;David B. MacQueen
Andrew W. Appel;Kai Li
Andrew W. Appel;Edward W. Felten
John R. Ellis;Kai Li;Andrew Appel
S. Govindavajhala;A.W. Appel
Andrew W. Appel
Andrew W. Appel
A. W. Appel;T. Jim
Andrew W. Appel
Andrew W. Appel;Robert Dockins;Aquinas Hobor;Lennart Beringer
Andrew W. Appel;David B. MacQueen
Andrew W. Appel
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens up a wide range of online degree options and flexible career pathways. For students interested in branching into science or engineering fields, a bachelor of science in physics online can provide a strong analytical foundation, complementing tech skills developed in computer science.
Those aiming for roles in analytics or artificial intelligence may benefit from pursuing the cheapest data science degree programs available. This path offers advanced training in big data, statistics, and machine learning—essential for today’s data-driven careers.
If your interests extend to hardware and circuit design, consider enrolling in online electrical engineering courses USA. These courses often closely align with computer engineering roles and broaden your technical expertise.
For a faster entry into the tech workforce, there are also easy certifications to get online that can quickly boost your resume with in-demand skills. Each pathway offers flexibility, affordability, and strong career prospects for the modern student.
Oak Ridge National Laboratory
University of South Carolina
Princeton University
Instituto Ramón y Cajal de Investigación Sanitaria
Centre national de la recherche scientifique, CNRS
University of Tasmania
Ghent University
Quaid-i-Azam University
KU Leuven
China University of Mining and Technology
Western Sydney University
Technion – Israel Institute of Technology
Sogang University
Mayo Clinic
University of Extremadura
University of Trento
