Many congratulations Aayush Gautam!
We are truly happy for the successful defense of your Master’s Thesis, “Applications of Natural Language Processing (NLP) in Supply Chain Risk Assessment,” co-advised by Dr. Ruihong Huang and by our lab’s Director Dr. Zenon Medina-Cetina, along with the support of Dr. Ricardo Gutierrez-Osuna, a member of your graduate committee.
Your research developments of new NLP’s algorithms running in our lab’s GPU’s NVIDIA technology, is a major milestone to assimilate massive real-time media information into our supply chain risk models, based on Probabilistic Artificial Intelligence (PAI), for risk assessment and management of spatio-temporal processes.
The addition of non-structured information into our models, places our lab at the forefront of innovation in the simulation of risk scenarios for critical supply chains in North America. This research as part of our lab’s projects sponsored by the U.S. Department of Homeland Security, the DHS Science and Technology Directorate, through the Cross-Border Threat Screening and Supply Chain Defense, a DHS’ Center of Excellence at Texas A&M University.
Your contributions in our lab will soon show global social, economic, and environmental impacts, when we release our Bayesian Risk Platform for Supply Chains this summer, and when we publish the corresponding reports and papers. For which we couldn’t be happier and proud for having you as a member of our team!
Many congratulations Aayush!
