Imtiaz Ali

Saudi Arabia

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Articles (11)

Year:

2023

Modeling strategies via Aspen Plus® for biomass gasification were assessed. Dynamic modeling can be essential in aiding control studies of biomass gasification process using Aspen Dynamics. Model predictive control is a widely recognized optimal controller for biomass gasification.

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (1)

Muhammad Awais

Senior Lecturer

Edge Hill University

UNITED KINGDOM

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Imtiaz Ali

Research Interests

Contact this professor

Articles (11)

A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques

Recent advances in dynamic modeling and control studies of biomass gasification for production of hydrogen rich syngas

Biochar production from valorization of agricultural Wastes: Data-Driven modelling using Machine learning algorithms

Bayesian optimized multilayer perceptron neural network modelling of biochar and syngas production from pyrolysis of biomass-derived wastes

Pyrolytic conversion of waste hemp: Kinetics, product characterization, and boosted regression tree modeling

Thermal conversion of waste furniture board under pyrolytic conditions: Kinetic analysis and product characterization

Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks

Bioenergy potential of Saccharum bengalense through pyrolysis, reaction kinetics, TG-FTIR-GCMS analysis of pyrolysis products, and validation of the pyrolysis data through machine learning

A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques

Recent progress in catalytic deoxygenation of biomass pyrolysis oil using microporous zeolites for green fuels production

Algal-derived biochar as an efficient adsorbent for removal of Cr (VI) in textile industry wastewater: Non-linear isotherm, kinetics and ANN studies

Collaborators (1)

Muhammad Awais

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