Khalid Alhazmi

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1 Similar Profiles

3 Article
2 Conference contribution

Adaptive phase shift control of thermoacoustic combustion instabilities using model-free reinforcement learning
Alhazmi, K. & Sarathy, M., Sep 8 2023, In: Combustion and Flame. 257, p. 113040
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Nonintrusive parameter adaptation of chemical process models with reinforcement learning
Alhazmi, K. & Sarathy, M., Feb 7 2023, In: Journal of Process Control. 123, p. 87-95 9 p.
Research output: Contribution to journal › Article › peer-review
5 Scopus citations
Online reinforcement learning of controller parameters adaptation law
Alhazmi, K. & Sarathy, M., Jul 3 2023, 2023 American Control Conference (ACC). IEEE
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
A reinforcement learning-based economic model predictive control framework for autonomous operation of chemical reactors
Alhazmi, K., Albalawi, F. & Sarathy, M., Jul 3 2021, In: Chemical Engineering Journal. 428, p. 130993
Research output: Contribution to journal › Article › peer-review
27 Scopus citations
Continuous Control of Complex Chemical Reaction Network with Reinforcement Learning
Alhazmi, K. & Sarathy, M., 2020, 2020 European Control Conference (ECC). IEEE
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations

Reports from King Abdullah University of Science and Technology (KAUST) Highlight Recent Findings in Technology (Controlling Thermoacoustic Instability of a Laminar Premixed Flame With Deep Reinforcement Learning and Neural Autoregressive Models)
Lacoste, D., Alhazmi, K. & Gorbatenko, I.
08/6/24
1 item of Media coverage
Press/Media: Press / Media
Findings on Technology Detailed by Investigators at King Abdullah University of Science and Technology (KAUST) (Adaptive Phase Shift Control of Thermoacoustic Combustion Instabilities Using Model-free Reinforcement Learning)
Alhazmi, K.
11/2/23
1 item of Media coverage
Press/Media: Press / Media
Researchers from King Abdullah University of Science and Technology (KAUST) Detail New Studies and Findings in the Area of Technology (Nonintrusive Parameter Adaptation of Chemical Process Models With Reinforcement Learning)
Alhazmi, K.
05/9/23
1 item of Media coverage
Press/Media: Press / Media

Khalid Alhazmi

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Collaborations and top research areas from the last five years

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Adaptive phase shift control of thermoacoustic combustion instabilities using model-free reinforcement learning

Nonintrusive parameter adaptation of chemical process models with reinforcement learning

Online reinforcement learning of controller parameters adaptation law

A reinforcement learning-based economic model predictive control framework for autonomous operation of chemical reactors

Continuous Control of Complex Chemical Reaction Network with Reinforcement Learning

Reports from King Abdullah University of Science and Technology (KAUST) Highlight Recent Findings in Technology (Controlling Thermoacoustic Instability of a Laminar Premixed Flame With Deep Reinforcement Learning and Neural Autoregressive Models)

Findings on Technology Detailed by Investigators at King Abdullah University of Science and Technology (KAUST) (Adaptive Phase Shift Control of Thermoacoustic Combustion Instabilities Using Model-free Reinforcement Learning)

Researchers from King Abdullah University of Science and Technology (KAUST) Detail New Studies and Findings in the Area of Technology (Nonintrusive Parameter Adaptation of Chemical Process Models With Reinforcement Learning)

Khalid Alhazmi

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media