Meir Kalech completed his Ph.D. at the Computer Science Department of Bar-Ilan University in 2006. In 2008 he became a faculty member of the Department of Software and Information System Engineering at Ben-Gurion University of the Negev. Kalech’s research interests lie in artificial intelligence and specifically in anomaly detection and diagnosis. Kalech established the Anomaly Detection and Diagnosis Lab (AiDnD) which integrates two main AI approaches: model-based and data-driven. He is a recognized expert in model-based diagnosis (MBD) and has published dozens of papers in leading journals and refereed conferences. Kalech has been promoting research that uses these methodologies for software engineering tasks like debugging and testing. Kalech’s lab is collaborating with the government and leading corporations such as General Motors, Mekorot and IBM. Among the research of Kalech exist anomaly detection of Supervisory Control and Data Acquisition (SCADA) systems, Automated debugging, survival analysis and troubleshooting. Kalech was honored as the AAAI Senior Member in 2022, and has served as an area chair and senior program committee in leading AI conferences such as AAAI, IJCAI, AAMAS and the International Workshop on Principles of Diagnosis.