Kuldeep S. Meel

47 papers and 323 indexed citations i.

Kuldeep S. Meel has authored 47 papers that have received a total of 323 indexed citations. This includes 38 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 9 papers in Software. The topics of these papers are Machine Learning and Algorithms (19 papers), Bayesian Modeling and Causal Inference (18 papers) and Formal Methods in Verification (8 papers). Kuldeep S. Meel is often cited by papers focused on Machine Learning and Algorithms (19 papers), Bayesian Modeling and Causal Inference (18 papers) and Formal Methods in Verification (8 papers) and collaborates with scholars based in Singapore, United States and India. Kuldeep S. Meel's co-authors include Moshe Y. Vardi, Supratik Chakraborty, Sanjit A. Seshia, Daniel J. Fremont and Leonardo Dueñas‐Osorio and has published in prestigious journals such as Communications of the ACM, Reliability Engineering & System Safety and Journal of Artificial Intelligence Research