Leo Hong

Assistant Professor of Mechanical Engineering Loyola Marymount University

  • Los Angeles CA

Seaver College of Science and Engineering

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Loyola Marymount University

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Biography

Dr. Leo Hong earned his Ph.D. in Mechanical Engineering from Penn State University and both his M.S. and B.S. in Mechanical Engineering from Kyung Hee University in South Korea. Before joining Loyola Marymount University, he served as an Assistant Professor in the Department of Physics and Engineering at California State University, Bakersfield (CSUB).
Dr. Hong's research spans a wide range of scientific areas, particularly focusing on the use of computer modeling and simulations (CMS) for chemical and materials process modeling. His work has garnered significant recognition, securing approximately $1.2 million in funding from various sources, including state-level programs (e.g., California State Chancellor's Office), federal agencies (e.g., NSF, USDA), and global industry-academic collaborations (e.g., Samsung and Chevron).
Currently, Dr. Hong is dedicated to transforming STEM education for underrepresented groups, with a particular emphasis on supporting female, Hispanic, and Black students. He integrates CMS techniques into educational practices to enhance learning outcomes. Dr. Hong has extensive experience in conducting workshops and providing hands-on CMS training to diverse audiences, including graduate students, postdoctoral fellows, and early-career faculty during his time as a postdoctoral scholar at the University of Southern California, as well as to undergraduate students as a faculty advisor for the CSUB Summer Undergraduate Research Experience program.

Education

The Pennsylvania State University

Ph.D.

Mechanical Engineering

2016

Kyung Hee University, South Korea

M.S.

Mechanical Engineering

2011

KyungHee University, South Korea

B.S.

Mechanical Engineering

2009

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Areas of Expertise

STEM Education
Molecular Dynamics Simulations
Artificial Intelligence & Machine Learning
Virtual Reality (VR)
High Performance Computing
Computational Materials Science