Dr. Satish Bukkapatnam has been awarded the George L. Smith International Award for excellence in the promotion of industrial engineering, an award presented to an individual who has made significant contributions in industrial engineering and exemplifies a “goodwill ambassador” for the profession.
Dr. Thomas Ferris is working with The Crew Optimization and Augmentation Technologies program, a project under the U.S. Army Futures Command, to integrate automation that will support human crew members in future combat ground vehicle systems.
Dr. R. Stanley Williams is ranked in the top tier of scientists in the world in the field of computer science and electronics scientists from the Guide2Research 2021 Top Scientists Ranking.
New research by Texas A&M University chemical engineers paves the way to the future design of metal-free aqueous batteries, which reduces the strain on using metal elements and the flammable nature of standard batteries.
A multidisciplinary team of researchers from Texas A&M University has developed a new metal-free battery platform that could lead to more sustainable, recyclable batteries that minimize dependence on strategic metals.
Dr. Jeyavijayan “JV” Rajendran is partnering with Intel Corporation for the Defense Advanced Research Projects Agency Structured Array Hardware for Automatically Realized Applications project, which enables the design of custom chips that include advanced security countermeasure technologies for widespread applications.
The Texas A&M University System Board of Regents appropriated $13.1 million for infrastructure improvements on the west side of the RELLIS Campus. The improvements will undergird two testing ranges for next-generation technology.
Dr. John Hurtado has been named interim vice chancellor and dean of the College of Engineering at Texas A&M University and interim agency director of the Texas A&M Engineering Experiment Station.
Researchers in the computer science and engineering department at Texas A&M University have developed a novel approach that generalizes the process to synthesize novel views of a scene based on a single 2D image.
A team of researchers at Texas A&M University is analyzing how a network of localized nodes can implement machine-learning applications, such as object recognition, in a distributed fashion.
Dr. Peter Rentzepis developed an extension to an ordinary cellphone that turns it into an instrument capable of detecting chemicals, drugs, biological molecules and pathogens.
In a new study, researchers at Texas A&M University show that factors like age, body mass index and time of day play a role in developing neck pain that might be caused due to improper head/neck postures.
A new computational framework can predict the behavior of materials known as MAX phases at high temperatures in a fraction of the time compared to other algorithms. These virtually designed materials can then be used to construct heat and corrosion-resistant turbines for jet engines.
Researchers at Texas A&M University and Los Alamos National Laboratory are modeling the breakdown of nuclear fuel to improve reactor safety efficiency as part of The Texas A&M University System National Laboratories Office Collaborative Research Program with Los Alamos National Laboratory.
