Computer Science and Engineering
News and updates featuring research, faculty achievements, student projects, and industry impact from the Department of Computer Science and Engineering.
Texas A&M researchers have implemented 3D visualization technology to predict and prevent hurricane damage.
With an NSF grant, researchers will investigate the historical effects of shape memory alloys and divert a portion of the grant to STEM outreach.
Doctoral candidate Limei Wang participated in the Rising Stars workshop for up-and-coming experts in electrical engineering and computer science.
Researchers at Texas A&M University and Carnegie Mellon University are promoting a safer future with AI by strengthening algorithms against attack.
Dr. Nitesh Saxena is teaming up with the Texas A&M Engineering Experiment Station and Rutgers University to create software that could stop voice-control mischief in manufacturing settings.
Dr. Wenping Wang and Dr. Scott Schaefer, faculty members in the Department of Computer Science and Engineering, were recognized by the Association for Computing Machinery as authors of influential computer graphics papers.
Instructional assistant professor Dr. Shawna Thomas was awarded the Provost Academic Professional Track Faculty Teaching Excellence Award in recognition of her commitment to creating active and collaborative learning experiences.
Building with a purpose: Senior recognized for outstanding achievements in academics and service
Feb. 8, 2024 • 5 min. readJessica Williams received the Outstanding Senior Engineer Award in recognition of her achievements in both academics and service. She is dedicated not only to building but to building with a purpose.
Da Silva assumes key role overseeing computer science research funding at NSF
Dec. 11, 2023 • 4 min. readDr. Dilma Da Silva begins a new role overseeing most of the country’s computer science research funding as an acting assistant director at the National Science Foundation.
Developing novel deep learning technologies for medical image classification
Oct. 17, 2023 • 4 min. readFunded by the National Science Foundation, Dr. Tianbao Yang is developing deep learning technologies for medical image classification, making deep models interpretable and the training more efficient by sampling multiple CT scans of a patient for computation.









