Stanley Black & Decker
Dr. Amir Kashani has over 12 years of experience in applied machine learning in the areas of data-driven modeling for condition monitoring, predictive maintenance, risk-based decision making, and automation across various industries. He has 32+ peer-review publications, 3 US patents pending on AI systems, he has been awarded by multiple federal grants in Applied Machine Learning and IoT (NSF, DOE, DOD) and is also an AWS certified practitioner.
At SBD, he is leading the technical development of Stanley Industrial Services for Remote Monitoring and Intelligent Diagnostics and Systems Health Management for the Industrial segment including Automotive, Advanced Tools, Infrastructure and Inventory Management. He has built and led cross-functional teams that have delivered and commercialized breakthrough multidisciplinary AI-driven B2B and B2C products.