ABOUT

My name is Justin Hodges and I am the senior AI/ML specialist at Siemens Digital Industries. I sit in a product management role for our portfolio of simulation software. I earned my bachelors, masters, and Ph.D in mechancial engineering at the University of Central Florida in thermofluids. I grew up in a Siemens Energy turbomachinery lab characterizing heat transfer, fluid mechanics, and turbulence in gas turbine secondary flow systems. My masters and doctoral research was on film cooling flow-fields, predicting turbulence and thermal fields with advanced turbulence modeling and machine learning approaches.

During an internship in Princeton NJ in 2017, I fell in love with AI and have been building my technical proficiency with such since. In that time, we patented work which incorporated CFD flow-field results, based on CT scans, into machine learning models. Incorporating information from clinical surveys, (physical) breathing measurements, and CFD results into a machine learning framework provides improved diagnosis of COPD.

From then until now, I have made constant professional efforts to augment the capabilities of engineering simulation by virtue of machine learning. I help real customers solve relevant problems which add value to their business and delievered products. Whether it be more convenient/faster workflows, more accurate simulations, or better connectedness of multi-disciplinary teams and data, it is my passion to expand the usage of machine learning for the benefits of those in industry.

I made this web page because I have an insatiable passion for digital innovation. I wanted to document some of my select projects which apply machine learning approaches to simulation problems and datasets.

Patents Granted

US10918309B2 - Artificial intelligence-based COPD assessment (LINK)

(Several pending)

Publications

[22] Framework for using Artificial Intelligence in the Vehicle Design ProcessFramework for using Artificial Intelligence in the Vehicle Design Process 31st Aachen Colloquium Sustainable Mobility 2022 · Sep 13, 2022

[21] Artificial Intelligence and Machine Learning for Ship Design. Proceedings ICASS, September 2022.

[20] Numerical Investigation of the Effects of Tip Clearance and Rotor Cavities on the Performance of a 1.5-Stage High-Work Turbine. ASME TurboExpo, June 2022

[19] Application of Machine Learning and CFD to Model the Flow in an Internal Combustion Engine. International CAE Conference. 2021.

[18] Application of Machine Learning and CFD to Model the Flow in an Internal Combustion Engine. NAFEMS World Congress. 2021.

[17] Conjugate Heat Transfer Simulation of an Industrial Gas Turbine Blade With Harmonic Balance Method. ASME TurboExpo, June 2021

[16] Co-Optimization of Turbine Blade Aero and Thermal Designs Based on Computational Fluid Dynamics (CFD) Models. THERMAL AND FLUIDS ENGINEERING CONFERENCE, May 2021

[15] Investigation of Turbulence Modeling and Harmonic Balance Methods Towards Accurately Predicting Compressor Flow Fields. ASME TurboExpo, April 2020

[14] Lag Elliptic-Blending Model for Gas Turbine Heat Transfer. Symposium of Innovative Simulations in Turbomachinery, November 2019

[13] Topology and Physical Interpretation of Turbulence Model Behavior on an Array of Film Cooling Jets. ASME TurboExpo, June 2019

[12] Vortical Structures in Pin Fin Arrays for Turbine Cooling Applications. ASME TurboExpo, June 2019

[11] Impact of sweeping jet on area-averaged impingement heat transfer. ASME TurboExpo, June 2019

[10] Flow Statistics and Visualization of Multirow Film Cooling Boundary Layers Emanating From Cylindrical and Diffuser Shaped Holes. Journal of Turbomachinery, May 2019

[9] FLOW STATISTICS AND VISUALISATION OF MULTI-ROW FILM COOLING BOUNDARY LAYERS. ASME TurboExpo, June 2018

[8] An Experimental Investigation of an Array of Inline Impinging Jets on a Surface With Varying Rib Orientations and Blockages. ASME TurboExpo, June 2017

[7] An Experimental Investigation of Heat Transfer for Arrays of Impingement Jets onto the Featured Surfaces with Cylindrical and Elliptical Raised Surfaces. 53rd AIAA/SAE/ASEE Joint Propulsion Conference, May 2017

[6] An Experimental and Numerical Investigation of the Flow Field and Heat Transfer from a Single Impinging Jet with Varying Confinement Conditions. 52nd AIAA/SAE/ASEE Joint Propulsion Conference, May 2016

[5] A Full Coverage Film Cooling Study: The Effect of an Alternating Compound Angle. University of Central Florida, December 2015

[4] Combination of Ribs and Pins for Internal Cooling. 51st AIAA/SAE/ASEE Joint Propulsion Conference, May 2015

[3] The Effect of Inclination Angle on Turbulent Quantities of a Single Row of Cylindrical Jets in Crossflow. publication description51st AIAA/SAE/ASEE Joint Propulsion Conference, May 2015

[2] Experimental Study of Annular Coaxial Jet with Hot Wire Anemometry. 49th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, July 2013

[1] Influence of Exhaust Collector Box Flow Conditioning on Diffuser Pressure Recovery and System Performance. 49th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, July 2013