D. Richard Kuhn is affiliated with the National Institute of Standards and Technology in the United States. Their work primarily spans the field of Computer Science, with a focus on software and artificial intelligence subfields. The main research areas include software testing and debugging techniques, software reliability and analysis research, and software engineering research. Additional topics of interest cover explainable artificial intelligence (XAI), software system performance and reliability, IoT and edge/fog computing, and blockchain technology applications and security.
Their research outputs have appeared in several frequent publication venues such as:
Recent notable papers include:
Frequent collaborators in their research include:
The work by D. Richard Kuhn is characterized by a strong emphasis on combinatorial testing and reliability in software systems. This is reflected in the recurring themes of software performance, fault localization in AI systems, and path selection strategies for IoT testing within their recent publications.
The blend of studies in software systems and artificial intelligence demonstrates an interdisciplinary approach, addressing challenges in assurance, explainability, and dependable computing across emerging technology domains.
David F. Ferraiolo;Ravi Sandhu;Serban Gavrila;D. Richard Kuhn
David F. Ferraiolo;D. Richard Kuhn;Ramaswamy Chandramouli
Ravi Sandhu;David Ferraiolo;Richard Kuhn
David F. Ferraiolo;D. Richard Kuhn
Vincent Hu;David Ferraiolo;Richard Kuhn;Adam Schnitzer
David F. Ferraiolo;John F. Barkley;D. Richard Kuhn
Vincent C. Hu;D. Richard Kuhn;David F. Ferraiolo
D Richard Kuhn;Edward J Coyne;Timothy R Weil
David R. Kuhn;Thomas J. Walsh;S G. Fries
Yu Lei;Raghu Kacker;D. Richard Kuhn;Vadim Okun
D. Richard Kuhn;Raghu N. Kacker;Yu Lei
Dolores R. Wallace;D. Richard Kuhn
D. Richard Kuhn
David R. Kuhn;Raghu N. Kacker;Yu Lei
D. Richard Kuhn
Unknown
Linbin Yu;Yu Lei;Raghu N. Kacker;D. Richard Kuhn
Michael A Forbes;Michael A Forbes;Jim Lawrence;Jim Lawrence;Yu Lei;Raghu N. Kacker
John Barkley;Anthony Cincotta;David Ferraiolo;Serban Gavrila
David Ferraiolo;Richard Kuhn;Ramaswamy Chandramouli
Constantinos Kolias;Angelos Stavrou;Jeffrey Voas;Irena Bojanova
D. Richard Kuhn;Raghu N. Kacker;Yu Lei
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science doesn't stop at traditional on-campus degrees. Today, students have access to an array of affordable online degree programs that bring flexibility and cost savings. These online options make it easier for students to fit learning around work, family, or other commitments.
Admission standards vary, and some online schools that accept low gpa give more students a chance to pursue a career in tech. Many institutions offer accelerated formats, including 1 year computer science degree online programs that fast-track your entry into the tech workforce.
Computer Science also opens doors to diverse career paths. For example, tech expertise can be applied to fields like environmental science. Want more options? Find out what can you do with an environmental science degree and how technology intersects with other disciplines.
Online learning is expanding opportunities for anyone passionate about tech, offering various pathways to success, regardless of background or previous academic performance.
Chinese Academy of Sciences
Fred Hutchinson Cancer Research Center
Stanford University
Vanderbilt University
University of Milan
University of Granada
Baker IDI Heart and Diabetes Institute
Technion – Israel Institute of Technology
Chinese University of Hong Kong
National Oceanic and Atmospheric Administration
Ruhr University Bochum
Imperial College London
University of Pittsburgh
Torcuato di Tella University
University of Konstanz
University of Birmingham
