Technical Committee on Artificial Intelligence and Data (TCAID)

ARMA’s Technical Committee on Artificial Intelligence and Data (TCAID) focuses on connecting professionals who are interested in the applications of artificial intelligence (AI) and big data in rock mechanics and geomechanics in support of civil, petroleum, subsurface storage, mining, and geothermal energy. The goals of TCAID include sharing technical achievements and research in AI and data science, promoting the investigation and use of AI and data science tools to solve problems in rock mechanics, and providing opportunities for scientists, engineers, and students to learn and apply AI and big data tools.

Members

Wencheng Jin, Chair

Texas A & M University
 

Kami Mohammadi, Co-Chair

University of Utah

Maximilian Haas, Co-Chair

SLB
 

Christopher Sherman

Lawrence Livermore National Laboratory

Stas Glubokovskikh

Lawrence Livermore National Laboratory
 

Hewei Tang

University of Texas, Austin

Yasser Elshayeb

American University in Cairo
 

Botao Lin

China University of Petroleum, Beijing

Romain Prioul

SLB
 

Bicheng Yan

King Abdullah University of Science and Technology

Joseph Morris

Lawrence Livermore National Laboratory
 

Adrian Rodriguez-Herrera

SLB

Upcoming Events

Upcoming webinars scheduled by this committee will be announced by email to the ARMA mailing list, as the information becomes available.

For other webinars and events from ARMA, please see full schedule under Events.

Past events

23 March 2023

Rock mechanics applications for the stability of cultural heritage: A focus on Egyptian cases

Yasser Elshayeb, American University in Cairo

9 December 2022

Machine learning applications in the oil and gas Industry

Yuxing Ben, Occidental Petroleum

24 August 2022

Inaugural TCAID Meeting