The ASME Journal of Computing and Information Science in Engineering (JCISE) presented a 30-minute spotlight talk by Tejas Puranik (Georgia Tech) on September 24, 2021, on his recent paper: Lee, H., Puranik, T. G., and Mavris, D. N. (February 25, 2021). “Deep Spatio-Temporal Neural Networks for Risk Prediction and Decision Support in Aviation Operations.” ASME. J. Comput. Inf. Sci. Eng. August 2021; 21(4): 041013. https://doi.org/10.1115/1.4049992
Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems
Guest Editorial Computational modeling, simulation, and optimization of manufacturing processes and materials systems have been a persistent endeavor of the engineering research community at large.
February 12, 2025
