Hong Jiang

Title
Adjunct Assistant Professor
Email
Department
School of Engineering
College
College of Aviation

Office Hours

schedule by email

Areas of Expertise

 Aviation Risk analysis; Engineering-based Modeling; Big Data analysis; Machine learning, NLP

Hong Jiang
Dr. Hong has demonstrated her Aviation knowledge and experience in system engineering, data analysis and risk analysis, and aviation safety research areas. She has applied system engineering life cycle techniques in different aviation systems involving constructing human-centric, equipment-centric, and computer-based models and processes. Demonstrated skills, for example in: machine learning, data visualization, modeling and simulation, statistics, and model-based system engineering.  
  • Ph.D. - Doctor of Philosophy in Modeling and Simulation, University of Central Florida
  • M.S. - Master of Science in Modeling and Simulation, University of Central Florida
  • M.B.A. - Master of Business Administration in Business Administration in Aviation: Airport Management, Embry-Riddle Aeronautical University
  • SYSE 530: Sys Requirmt Anyls & Modeling
  • SYSE 625: System Quality Assurance
SYSE 625 – System Quality Assurance; RSCH 665- Statistical Analysis;   ASCI 662 Statistical Analysis for Aviation/Aerospace;  LGMT 680 Discrete Event Simulation Modeling;  MATH 211 Statistics With Aviation Applications;  MATH 222 Business Statistics ; 
 Adjunct Assistant Professor, Embry Riddle Aeronautical University, College of Aeronautics (2015 TILL NOW)
 Data Scientist/ Aviation Safety Analyst, Federal Aviation Administration (FAA) Orlando FL (2018 TILL NOW)
 Data Analyst/Industrial Engineer/System Engineer, NAVAIR Warfare Center Training System Division (NAWCTSD), Orlando (2014 till 2018)
 Graduate Research Analyst, University of Central Florida, Orlando FL
Women in Aviation; INCOSE
​a) Promising Professional Award: Recipient of National Society of Asian Science and Engineer 2017.
b) Outstanding Performance/Award: Recipient of National Women of Color (WOC) STEM Conference Technology Rising Star 2015.
c) Winning team of Data Challenge team in NAVAIR: Volunteered the data challenge project supported by the NAVAIR in 2016. Continue writing a paper for later recommendations for Navy decision makers.
Leading volunteered Data Challenge 2 project team at NAWCTSD and building a visualization tool using Qlik Sense taught by myself.
I spent a lot of weekends in tackling and learning new skills for both volunteered projects. Both projects help me spending up for my navy career. For example, I understand better how the Navy maintenance and supply chain management works.
d) Ph.D. Dissertation research focused on: manpower cost estimation using System Dynamic Modeling to identify the Total Ownership Cost (TOC) and the relationship between technology adoption and training cost for the United States Navy DDG51 ship class. The implementation will reduce training costs 4.5% overall by 2025. The model is applicable to other platforms where manpower and technology innovation interact.
e) Recipient of research fellowships from the Institute for Simulation and Training, and the Department of Industrial Engineering and Management Systems while in attendance at University of Central Florida.