Dr Cihat Emre Ustun

Research

Machine Learning, Artifical Intelligence, Combustion, Computational Fluid Dynamics, Ammonia, Zero/low Carbon Fuels

Publications

Publications of specific relevance to the Centre for Intelligent Transport

2026

Machine learning-enabled uncertainty quantification for thermo-catalytic reactors: A study on fugitive methane oxidation in monolith reactors
Soyler I Üstün CE Paykani A Jiang X Karimi N
Fuel, Elsevier vol. 407 

DOI 10.1016/j.fuel.2025.137466

QMRO

01-03-2026

2025

Machine Learning Applications for Predicting Fuel Ignition and Flame Properties: Current Status and Future Perspectives
Üstün CE De Freitas RDSM Okafor EC Shahbakhti M Jiang X Paykani A
Energy & Fuels, American Chemical Society (Acs) vol. 39 (28), 13281-13314.  

DOI 10.1021/acs.energyfuels.5c02343

QMRO

07-07-2025

Multi-objective aerodynamic design optimization of a new engine intake electromagnetic wave blocker
Üstün CE Ünal İ Özbey N Kılıç NB Erdoğan N Altay Ö Tutar M
Physics of Fluids, Aip Publishing vol. 37 (7) 

DOI 10.1063/5.0274407

QMRO

01-07-2025

On-the-fly uncertainty-aware deep ensembles for stiff chemical kinetics
Üstün CE Paykani A
Proceedings of The Combustion Institute, Elsevier vol. 41 

DOI 10.1016/j.proci.2025.105896

QMRO

01-01-2025

2024

Perspectives on NO X Emissions and Impacts from Ammonia Combustion Processes
Mashruk S Shi H Mazzotta L Ustun CE Aravind B Meloni R Alnasif A Boulet E et al.
Energy & Fuels, American Chemical Society (Acs) vol. 38 (20), 19253-19292.  

DOI 10.1021/acs.energyfuels.4c03381

QMRO

02-10-2024

Probabilistic machine learning framework for chemical source term integration with Gaussian Processes: H 2 /air auto-ignition case
Üstün CE Paykani A
International Journal of Hydrogen Energy, Elsevier vol. 81, 47-55.  

DOI 10.1016/j.ijhydene.2024.07.220

QMRO

01-09-2024

A thermodynamic computational model analysis of a newly designed Tri-Rotor (T-R) volume air compressor
Tutar M Üstün CE Mutlu H
Thermal Science and Engineering Progress, Elsevier vol. 53 

DOI 10.1016/j.tsep.2024.102708

QMRO

01-08-2024

Data-driven prediction of laminar burning velocity for ternary ammonia/hydrogen/methane/air premixed flames
Üstün CE Eckart S Valera-Medina A Paykani A
Fuel, Elsevier vol. 368 

DOI 10.1016/j.fuel.2024.131581

QMRO

01-07-2024

2023

Applying machine learning techniques to predict laminar burning velocity for ammonia/hydrogen/air mixtures
Üstün CE Herfatmanesh MR Valera-Medina A Paykani A
Energy and AI, Elsevier vol. 13 

DOI 10.1016/j.egyai.2023.100270

QMRO

01-07-2023

2021

Optimized CFD modelling and validation of radiation section of an industrial top-fired steam methane reforming furnace
Tutar M Üstün CE Campillo-Robles JM Fuente R Cibrián S Arzua I Fernández A López GA
Computers & Chemical Engineering, Elsevier vol. 155 

DOI 10.1016/j.compchemeng.2021.107504

QMRO

01-12-2021

Research Group

Research Staff

• Dr Amin Paykani

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