David Gordon

Assistant Professor

University of Alberta

Canada

Research Interests

Explore related searches

Professors in Canada

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. David Gordon is an Assistant Professor at the University of Alberta, Canada. His research focuses on advanced predictive modeling and control systems in engine emissions and performance, with recent publications exploring deep learning applications in hydrogen/diesel dual-fuel engines, neural network integration in thermal systems, and emission analysis methodologies. His work contributes significantly to the fields of combustion engineering and machine learning for improved energy efficiency and environmental impact.

Positions (1)

David Gordon

University Name

University of Alberta

NaN years ago

Mechanical Engineering

No summary provided for this position.

NaN years ago

Articles (11)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2020

Year:

2020

Collaborators (5)

Mahdi Shahbakhti

University of Alberta

CANADA

View details

Jakob Andert

Professor

RWTH Aachen University

GERMANY

View details

Julian Bedei

RWTH Aachen University

GERMANY

View details

Patrick Schaber

RWTH Aachen University

GERMANY

View details

Charles Koch

Professor

University of Alberta

CANADA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

David Gordon

Research Interests

Explore related searches

Contact this professor

About

Positions (1)

Mechanical Engineering

Articles (11)

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine

Systematic framework for deep learning-based predictive injection control with Bayesian hyperparameter optimization for a hydrogen/diesel dual-fuel engine

Dynamic emission analysis of a hydrogen/diesel dual-fuel engine using clustering method

Transient NOx emission modeling of a hydrogen-diesel engine using hybrid machine learning methods

Hybrid emission and combustion modeling of hydrogen fueled engines

Support vector machine based emissions modeling using particle swarm optimization for homogeneous charge compression ignition engine

Dynamic measurement with in-cycle process excitation of HCCI combustion: The key to handle complexity of data-driven control?

End-to-End Deep Neural Network Based Nonlinear Model Predictive Control: Experimental Implementation on Diesel Engine Emission Control

Evaluation of ASTM D6424 standard for knock analysis using unleaded fuel candidates on a six cylinder aircraft engine

Homogeneous charge compression ignition combustion stability improvement using a rapid ignition system

Development and experimental validation of a real-time capable field programmable gate array–based gas exchange model for negative valve overlap

Collaborators (5)

Mahdi Shahbakhti

Jakob Andert

Julian Bedei

Patrick Schaber

Charles Koch

Make your next move.