Dr. Cho is an Assistant Professor of the UTEP AME Department, specialized in reaction kinetics, combustion, propulsion, and renewable energy.

• Outstanding Doctoral Dissertation Award - Seoul National University (01/01/2020-12/31/2020)
• Scholarship from Brain Korea 21 - Seoul National Univeristy (01/01/2020-12/31/2020)
• Outstanding Researcher Scholarship - Seoul National University (01/01/2016-12/31/2016)
• Scholarship from Hoban Scholarship Foundation - Hoban Scholarship Foundation (01/01/2014-12/31/2014)
• National Science & Technology Scholarship - Korea Student Aid Foundation (01/01/2010-12/31/2010)

• Ph D in Doctor of Philosophy in Mechanical Engineering, Seoul National University (2020)

• Modeling–Experiment–Theory Analysis of Reactions Initiated from Cl+Methyl Formate The Journal of Physical Chemistry A 127 46 (2023), Jaeyoung Cho, Daniel Rösch, Yujie T. , David L. Osborn, Stephen J. Klippenstein, Leonid Sheps, Raghu Sivaramakrishnan.
• Automated identification and calculation of prompt effects in kinetic mechanisms using statistical models Combustion and Flame 257 (2023), Luna Pratali Maffei, Kevin B. Moore III, Yuri Georgievskii, Clayton R. Mulvihill, Sarah N. Elliott, Jaeyoung Cho, Raghu Sivaramakrishnan, Tiziano Faravelli, Stephen J. Klippenstein.
• The role of energy transfer and competing bimolecular reactions in characterizing the unimolecular dissociations of allylic radicals Combustion and Flame 257 (2023), Jaeyoung Cho, Ahren W. Jasper, Yuri Georgievskii, Stephen J. Klippenstein, Raghu Sivaramakrishnan.
• Designing High-Performance Fuels through Graph Neural Networks for Predicting Cetane Number of Multicomponent Surrogate Mixtures SAE Technical Papers (2023), Yeonjoon Kim, Sabari Kumar, Jaeyoung Cho, Nimal Naser, Wonjong Ko, Peter C. St. John, Robert L. McCormick, Seonah Kim.
• Enhancing ϕ-sensitivity of ignition delay times through dilution of fuel-air mixture Proceedings of the Combustion Institute 39 4 (2023), Jaeyoung Cho, Jon Luecke, Mohammad J. Rahimi, Yeonjoon Kim, Bradley T. Zigler, Seonah Kim.
• Physics-informed graph neural networks for predicting cetane number with systematic data quality analysis Proceedings of the Combustion Institute 39 4 (2023), Yeonjoon Kim, Jaeyoung Cho, Nimal Naser, Sabari Kumar, Keunhong Jeong, Robert L. McCormick, Peter C. St. John, Seonah Kim.
• The role of collisional energy transfer in the thermal and prompt dissociation of 1-methyl allyl Proceedings of the Combustion Institute (2023), Jaeyoung Cho, Yujie Tao, Yuri Georgievskii, Stephen J. Klippenstein, Ahren W. Jasper, Raghu Sivaramakrishnan.
• Bimolecular Peroxy Radical (RO2) Reactions and Their Relevance in Radical Initiated Oxidation of Hydrocarbons The Journal of Physical Chemistry A (2022), Jaeyoung Cho, Clayton R. Mulvihill, Stephen J. Klippenstein, Raghu Sivaramakrishnan.
• Bioderived ether design for low soot emission and high reactivity transport fuels Sustainable Energy & Fuels (2022), Jaeyoung Cho, Yeonjoon Kim, Brian D. Etz, Gina M. Fioroni, Nimal Naser, Junqing Zhu, Zhanhong Xiang, Cameron Hays, Juan V. Alegre-Requena, Peter C. St. John, Bradley T. Zigler, Charles S. McEnally, Lisa D. Pfefferle, Robert L. McCormick, Seonah Kim.
• Dimensionless parameters determining the effect of dilution on ignition delay of syngas and hydrocarbon fuels Combustion and Flame (2020), Jaeyoung Cho, Han Ho Song.
• Development of a Predictive Model for Knock Intensity in a Spark-Ignition Engine with Gasoline-Ethanol-nButanol Blend Fuel by Using Rapid Compression Machine SAE Technical Papers (2019), Jaeyoung Cho, Han Ho Song.
• Understanding the effect of inhomogeneous fuel–air mixing on knocking characteristics of various ethanol reference fuels with RON 100 using rapid compression machine Proceedings of the Combustion Institute (2019), Jaeyoung Cho, Han Ho Song.

• Competing Radical and Molecular Channels in the Unimolecular Dissociation of Methylformate (2024), Volume Milan, Italy, Jaeyoung Cho, Nicole J. Labbe, Lawrence B. Harding, Stephen J. Klippenstein, Raghu Sivaramakrishnan.
• Sooting Tendency of Substituted Aromatic Oxygenates: The Role of Functional Groups and Positional Isomerism in Vanillin Isomers (2024), Volume Milan, Italy, Hojin Jung, Jaeyoung Cho, Yeonjoon Kim, Zhanhong Xiang, Sabari Kumar, Piper Banard, Charles S. McEnally, Lisa D. Pfefferle, Seonah Kim.
• “From Molecule to Thrust” : Multifaceted Approaches to Realize Sustainable Propulsion (2023), Volume The University of Texas at El Paso, Jaeyoung Cho.
• Designing high-performance fuels through graph neural networks for predicting cetane number of multicomponent surrogate mixtures (2023), Volume Kyoto, Japan, Yeonjoon Kim, Nimal Naser, Jaeyoung Cho, Wonjong Ko, Peter C. St. John, Seonah Kim.
• Theory-informed Stoichiometry Constrained Kinetics Database for Combustion Applications (2023), Jaeyoung Cho, Sarah N. Elliott, Raghu Sivaramakrishnan.
• Compositional effect of multi-component gasoline on the ϕ-sensitivity of ignition delay time (2023), Volume College Station, TX, USA, Jaeyoung Cho, Song Cheng, Scott S. Goldsborough, Seonah Kim.
• Nonthermal Effects in the Dissociation of HOCO and Other Carbonyl-Centered Free Radicals (2023), Volume College Station, TX, USA, Jaeyoung Cho, Ahren W. Jasper, Stephen J. Klippenstein, Raghu Sivaramakrishnan.
• A-priori theory-informed training of artificial neural networks for predictions of chemical reactivity (2022), Volume Phoenix, AZ, USA, Jaeyoung Cho.
• Automated identification and calculation of prompt effects in kinetic mechanisms using statistical model (2022), Volume Virtual, Luna Pratali Maffei, Kevin B. Moore III, Yuri Georgievskii, Clayton R. Mulvihill, Sarah N. Elliott, Jaeyoung Cho, Raghu Sivaramakrishnan, Tiziano Faravelli, Stephen J. Klippenstein.
• Competition between unimolecular/bimolecular reactions of allylic radicals and their relevance in flames (2022), Jaeyoung Cho, Ahren W. Jasper, Yuri Georgievskii, Stephen Klippenstein, Raghu Sivaramakrishnan.
• Enhancing ϕ-sensitivity of ignition delay times through dilution of fuel-air mixture (2022), Volume Vancouver, Canada, Jaeyoung Cho, Jon Luecke, Mohammad J. Rahimi, Yeonjoon Kim, Bradley T. Zigler, Seonah Kim.
• Physics-informed graph neural networks for predicting cetane number with systematic data quality analysis (2022), Volume Vancouver, Canada, Yeonjoon Kim, Jaeyoung Cho, Nimal Naser, Sabari Kumar, Keunhong Jeong, Robert L. McCormick, Peter C. St. John, Seonah Kim.
• The role of collisional energy transfer on the thermal and prompt dissociation of 1-methyl allyl. (2022), Jaeyoung Cho, Yujie T. , Yuri Georgievskii, Stephen J. Klippenstein, Ahren W. Jasper, Raghu Sivaramakrishnan.

• Fundamental Kinetics Study on the Fire-Safety of Biodegradable and Bio-based Polymers