Office: Computer Science Building 468
Phone: (970) 491-4608
Curriculum Vitae: http://www.cs.colostate.edu/~ghosh/CV/vita.pdf
Google Scholar: https://scholar.google.com/citations?user=I5zd7t0AAAAJ&hl=en
- Ph.D. Computer Science, Purdue University, 2000
- MS, Computer Science, Iowa State University, 1995
- BTech, Computer Science and Engineering, Indian Institute of Technology, Kanpur, 1993
My research interests are in the areas of modeling and testing software in the object-oriented, aspect-oriented, and component-based paradigms. I serve on the editorial boards of prominent technical publications, co-chair major conferences in the field, and am a member of the ACM and Senior Member of the IEEE.
Anomaly Detection in COVID-19 Time-Series Data Springer Nature Computer Science Special Issue on AI for Healthcare.
An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data IEEE International Conference on Big Data Special Session on Machine Learning on Big Data, 2020.
ADQuaTe3: A Data Quality Test Approach for Fault Detection and Explanation in Big Data WWW Journal.
An Empirical Comparison of Four Java-based Regression Test Selection Techniques Journal of Systems and Software.
Bridging the Model-to-Code Abstraction Gap with Fuzzy Logic in Model-Based Regression Test Selection Software and System Modeling.
ADQuaTe2: A Data Quality Test Approach for Automated Constraint Discovery and Fault Detection Information System Frontier Special Issue on Heuristics acquisition for Data Science.
An Interactive Data Quality Test Approach for Constraint Discovery and Fault Detection IEEE International Conference on Big Data, 2019.
Supporting Inheritance Hierarchy Changes in Model-based Regression Test Selection Software and System Modeling, Springer, 2019.
Special issue on trustworthy systems and software Software Quality Journal, 2019.
ADQuaTe: An Automated Data Quality Test Approach for Constraint Discovery and Fault Detection 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019.