Researchers have analyzed common causes of fires in data centers and identified ways to mitigate the growing risk.
More details on Texas A&M Stories.
Multiscale Process Safety Laboratory
Qingsheng Wang Group
Posted on by Qingsheng Wang
Researchers have analyzed common causes of fires in data centers and identified ways to mitigate the growing risk.
More details on Texas A&M Stories.
Posted on by Qingsheng Wang
Researchers from Texas A&M University are using artificial intelligence to track pollution caused by accidental chemical emissions following natural hazards. An increased understanding of the relationship between natural hazards and unplanned chemical emissions may help researchers and policymakers predict, and hopefully prevent, future pollution. The research findings are outlined in a recently published paper.
See more from Texas A&M Engineering News.

Posted on by Qingsheng Wang
Chemical engineering professor Dr. Qingsheng Wang has been named the newest editor for the Journal of Loss Prevention in the Process Industries.
See full story here from Texas A&M Engineering News.

Posted on by Qingsheng Wang
Enhanced safety measures are being made for structures that are exposed to liquefied natural gas (LNG) fire.
Dr. Filippo Gavelli from Blue Engineering and Consulting Company (BLUE) and Dr. Qingsheng Wang, a professor with the Department of Chemical Engineering, have led a large-scale experiment testing different coatings on steel beams and examining how they hold up in a fire. The project is a collaboration between BLUE, the Texas A&M Engineering Experiment Station (TEES), and Texas A&M Engineering Extension Service (TEEX). It’s sponsored by the U.S. Department of Transportation (DOT).
Posted on by Qingsheng Wang
We proudly congratulate Mohamed Abdalla for winning 1st Place in the poster competition at the 2025 SPE-GCS Data Science Convention, held at the ExxonMobil Campus in Spring, Texas. His award-winning presentation, “Modeling CO₂ Dispersion From Injection Wells and Surface Facilities: Integrating PHAST Simulations and Deep Learning for Enhanced Emergency Response,” highlighted an innovative approach that combines over 6,700 PHAST simulations with machine learning to develop a computer application capable of instantly predicting the Potential Impact Radius (PIR) in the event of a CO₂ leak. This work marks a significant step toward enhancing safety and emergency preparedness in large-scale CCS operations.
Posted on by Qingsheng Wang
Dr. Wang was recently interviewed by The New York Times, about the E.P.A.’s new rules to limit damage from disasters at chemical facilities. The rules require facilities to explicitly address threats such as wildfires or flooding, including those linked to climate change. See the story.
Posted on by Qingsheng Wang
João B. P. Soares, The Canadian Journal of Chemical Engineering (CJCE) Editor-in-Chief, selected “A comparative bibliometric study of the transport risk considerations of liquefied natural gas and liquefied petroleum gas” to appear as one of the featured articles in the Issue Highlights in the June issue.
The article has been selected to be featured in the most recent issue of CIC News, a leading source of information in Canada’s chemical sciences and engineering community. See the story here.
Posted on by Qingsheng Wang
Stanford University has just published an updated list showcasing the world’s top 2% of scientists. Professor Wang has been ranked among the world’s top 2% most-cited scientists in chemical engineering.
Details see October 2023 data-update for “Updated science-wide author databases of standardized citation indicators“
Posted on by Qingsheng Wang
Our paper titled “Thermal Stability of Metal−Organic Frameworks (MOFs): Concept, Determination, and Model Prediction Using Computational Chemistry and Machine Learning” by Harold U. Escobar-Hernandez, Lisa M. Pérez, Pingfan Hu, Fernando A. Soto, Maria I. Papadaki, Hong-Cai Zhou, and Qingsheng Wang which was published in Industrial Engineering & Chemistry Research, April 21, 2022, Vol. 61, pp. 5853−5862 was selected as the South Texas Section — AIChE’s 2022 Best Fundamental Paper Award.
You can access the paper on ACS Publications by following this link: https://pubs.acs.org/doi/abs/10.1021/acs.iecr.2c00561.
Posted on by Qingsheng Wang
Congratulations to Yufeng Quan, who has been selected for the AICHE 8A’s Excellence in Graduate Student Research. He will present his research, Efficient and Sustainable Manufacture of Polymeric Composites and Their Applications in Flame Retardancy, at this November’s AICHE national meeting in Orlando!
https://aiche.confex.com/aiche/2023/meetingapp.cgi/Session/52237