Ghazaleh Mirakhori
Papers
1
Total Citations
1
H-Index
1
About
Ghazaleh Mirakhori is a researcher at the forefront of integrating artificial intelligence with industrial process engineering. Her work centers on developing AI-enhanced methodologies to accelerate and optimize complex industrial systems, particularly in the realm of radioactive particle tracking. Her most notable contribution, detailed in her 2025 paper "AI-enhanced radioactive particle tracking: A practical methodology for accelerating industrial process development," introduces a novel framework that leverages machine learning to dramatically speed up data analysis and process characterization in multiphase reactors. This approach promises to reduce the time and cost associated with traditional experimental campaigns, offering a powerful tool for industries ranging from chemical processing to nuclear engineering. While her work is still emerging, with early citations reflecting its novelty, the practical significance of her methodology positions her as a rising innovator in process intensification and digital twin development. Her research bridges the gap between advanced computational techniques and real-world industrial challenges, making her a key contributor to the next generation of smart manufacturing and process optimization.
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Top Papers
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