117 citations · 120 across the 4 of their papers we have counts for
5 papers
Neural Network-enabled Domain-consistent Robust Optimisation for Global CO Reduction Potential of Gas Power Plants
Waqar Muhammad Ashraf, Talha Ansar, Abdulelah S. Alshehri +3
We introduce a neural network-driven robust optimisation framework that integrates data-driven domain as a constraint into the nonlinear programming technique, addressing the overl…
Domain-Informed Operation Excellence of Gas Turbine System with Machine Learning
Waqar Muhammad Ashraf, Amir H. Keshavarzzadeh, Abdulelah S. Alshehri +3
The domain-consistent adoption of artificial intelligence (AI) remains low in thermal power plants due to the black-box nature of AI algorithms and low representation of domain kno…
Generative AI and Process Systems Engineering: The Next Frontier
Benjamin Decardi-Nelson, Abdulelah S. Alshehri, Akshay Ajagekar +1
This article explores how emerging generative artificial intelligence (GenAI) models, such as large language models (LLMs), can enhance solution methodologies within process system…
Multimodal Deep Learning for Scientific Imaging Interpretation
Abdulelah S. Alshehri, Franklin L. Lee, Shihu Wang
In the domain of scientific imaging, interpreting visual data often demands an intricate combination of human expertise and deep comprehension of the subject materials. This study…
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions
Abdulelah S. Alshehri, Rafiqul Gani, Fengqi You
The optimal design of compounds through manipulating properties at the molecular level is often the key to considerable scientific advances and improved process systems performance…