Artificial Intelligence

Dr. Soaram Kim has developed a remote health and environmental monitoring system, integrated with machine learning, that can be used to detect various viruses, bacteria and cancers.

Dr. Guni Sharon will conduct research to improve the applicability of machine learning using a grant he received from the National Science Foundation.

Graduate student Ronald Gatchalian is using machine-learning techniques to predict the physics parameters of a source-driven reactor configuration in a subcritical domain, which can increase safety while reducing experimentation costs and time.

Dr. Suin Yi is working to develop a new computing system known as a memristor computer.

Texas A&M University researchers aim to create a future where data science and artificial intelligence predict, prepare for and respond to natural hazards — from hurricanes to earthquakes — reducing their impact on communities.

Dr. Robin Murphy will lead efforts to innovate and transfer advances in artificial intelligence for disaster management.

Dr. Dileep Kalathil is investigating the robustness, safety and adaptivity of these algorithms so that they can be successful in real-world settings.

Dr. Donggil Song aims to help students improve their writing skills by visualizing their knowledge structure in real time while writing.

A new chemical safety book has recently been published by associate professor of chemical engineering Dr. Qingsheng Wang to better prevent facility malfunctions.

Dr. Abdullah Muzahid is enhancing the field of computer learning by increasing the speed of computer training and reliability of computer decision-making through two research projects.