|September 2020 - Present||Associate Professor, University of Texas at Tyler ‐ College of Engineering|
|May 2017 - June 2021||JSC Faculty Research Associate Engineer, NASA ‐ Energy Conversion System Branch|
|January 2014 - August 2020||Assistant Professor, University of Texas at Tyler ‐ College of Engineering|
|July 2015 - May 2017||JSC Faculty Research Associate/Software Developer, NASA ‐ Rapid Prototyping Lab|
|2019 - 2020||Model and Control Development of Components in Solid Oxide based Regenerative system for Oxygen Production and Power Generation|
|UT Tyler Office of Research|
|2018 - 2020||Analysis of a 2-D Thermal-Fluid Model of a Solid Oxide Electrolyzer Cell for Oxygen Production on Mars|
|Texas Space Grant Consortium|
|2019 - 2019||Open Educational Resources Grant Program for Mechanical Engineering Laboratory courses|
|Texas Higher Education Coordinating Board|
|2018 - 2019||Integrated Theory, Simulation and Experimentation of a NASA-inspired Shell & Tube Heat Exchanger to teach the sequence of thermal fluid sciences|
|University of Texas at Tyler Office of CETI|
Professional Service and Affiliations
|2014 - Present||Member, American Society for Engineering Education||2014 - 2020||Member, American Society of Mechanical Engineers|
Honors and Awards
- Engineer in Training Certification - 2008
- Best Session Oral Presentation Award, Graduate Association of Chemical Engineers - 2013
- Faculty/Staff Publications and Presentations Recognition Award, UT Tyler - 2015-2018
- Order of the Engineer
- Top 8 Best Paper Award, Best Paper Nomination, IEEE-2017
- Nomination for ASEE GSW Young Faculty Award, ASEE 2019
- MENG 4345/5345: Energy Conversion
- EENG 5399: Independent Study
- MENG 4395: Undergraduate Research
- MENG 4399: Independent Study
- MENG 4115 & 4315/4215&4216: Senior Design I&II (F14/S15/S20/F20/S21))
- MENG 3210: ME Lab I (F13)
- MENG 3310: Fluid Mechanics (F13/F14)
- MENG 3301: Thermodynamics (F13)
- MENG 3211: Thermal Fluids Lab
- MENG 4312: System Dynamics and Control
- ENGR 4009: Fundamentals of Engineering Examination Preparation
- MENG 4313: Thermal/Fluid Systems Design
- MENG 4330/5330: Process Control (& Automation)
|2013||Ph.D., University of Florida ‐ Chemical Engineering|
|2008||B.S., Auburn University ‐ Chemical Engineering|
Research Works (11)
Journal Articles and Conference Proceedings
Power and Voltage Modelling of a Proton-Exchange Membrane Fuel Cell Using Artificial Neural Networks Energies (2022)
A proton exchange membrane fuel cell (PEMFC) is a more environmentally friendly alternative to deliver electric power in various applications, including in the transportation industry. As PEMFC performance characteristics are inherently nonlinear and involved, the ...
Thermal Model Development and Control Design Interface of A Pem Fuel Cell For Simulation Based Learning In A Mechanical Engineering Course 2021 ASEE Southeastern Section Conference (2021)
Although there is growing interest in electrochemical systems such as battery and fuel cell powered vehicles, thermal fluid modeling and control design of such systems is not commonly taught. To incorporate such content, an educational ...
Thermal Fluid Model Development of Steam Methane Reformer using Artificial Neural Network 2018 Thermal Fluids Analysis Workshop (2018)
NASA’s Johnson Space Center has recently begun efforts to eventually integrate air-independent Solid Oxide Fuel Cell systems, with landers that can be propelled by LOX-CH4, for long duration missions. Using landers that utilize such propellants, ...
Prediction of Solid Oxide Fuel Cell Performance using Artificial Neural Network DUAL CONFERENCE IN INNOVATION AND AUTOMATION (2017)
NASA’s Johnson Space Center has recently begun efforts to eventually integrate air-independent Solid Oxide Fuel Cell (SOFC) systems, with landers that can be propelled by LOX-CH4, for long duration missions. Using landers that utilize such ...
Prediction of Direct Methanol Fuel Cell Stack Performance Using Artificial Neural Network Electrochem. En. Conv. Stor. (2017)
A direct methanol fuel cell (DMFC) converts liquid fuel into electricity to power devices, while operating at relatively low temperatures and producing virtually no greenhouse gases. Since DMFC performance characteristics are inherently complex, it can ...
Prediction of residential building energy consumption: A neural network approach Energy (2016)
Some of the challenges to predict energy utilization has gained recognition in the residential sector due to the significant energy consumption in recent decades. However, the modeling of residential building energy consumption is still underdeveloped ...
Performance Estimation of Direct Methanol Fuel Cell Using Artificial Neural Network ASME International Mechanical Engineering Congress and Exposition (2015)
A direct methanol fuel cell can convert chemical energy in the form of a liquid fuel into electrical energy to power devices, while simultaneously operating at low temperatures and producing virtually no greenhouse gases. Since ...
Comprehensive mass transport modeling technique for the cathode side of an open-cathode direct methanol fuel cell International Journal of Hydrogen Energy (2015)
A systematic method for the steady-state modeling of mass transport phenomena and electrochemical behavior focusing on the cathode side of a direct methanol fuel cell (DMFC) with an open-cathode design is presented and demonstrated using ...
Regression analysis for prediction of residential energy consumption Renewable and Sustainable Energy Reviews (2015)
The considerable amount of energy consumption associated to the residential sector justifies and supports energy consumption modeling efforts. Among the three approaches to develop energy models, statistical approaches are a good option to avoid the ...
Systematic approach for modeling methanol mass transport on the anode side of direct methanol fuel cells International Journal of Hydrogen Energy (2014)
A systematic method for modeling direct methanol fuel cells, with a focus on the anode side of the system, is advanced for the purpose of quantifying the methanol crossover phenomenon and predicting the concentration of ...
Proof of Concept Design and Analysis of heat Reutilization of a Solid Oxide Electrolyzer Cell for Oxygen Supply on Mars 2018 Thermal Fluids Analysis Workshop (2018)
Samuel Ogletree, Shan Mohammed, and M. A. Rafe Biswas, University of Texas at Tyler As NASA seeks to lay the groundwork required for human exploration of Mars, new and innovative life support systems need to ...