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.


Christopher Sherman, Chair

Lawrence Livermore National Laboratory

Hewei Tang, Co-Chair

Lawrence Livermore National Laboratory

Sun Zhuang, Co-Chair

Dassault Systèmes

Stas Glubokovskikh, Communications Chair

Lawrence Berkeley National Laboratory

Stephan Arndt

Dassault Systèmes

Houman Bedayat

Amazon Alexa

Yuxing Ben

Occidental Petroleum

Yasser Elshayeb

American University in Cairo

Yanhui Han

Aramco Research Center

Botao Lin

China University of Petroleum Beijing

Silviu Livescu

The University of Texas at Austin

Josephine Morgenroth

York University

Joseph Morris

Lawrence Livermore National Laboratory

Romain Prioul

Schlumberger Doll Research

Adrian Rodriguez-Herrera


Bicheng Yan

King Abdullah University of Science and Technology

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