Resume
General Information
Full Name | Jong-Hyun Jeong |
Languages | English, Korean |
Education
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2016 - 2021
PhD, Civil Engineering & Engineering Mechanics
The University of Arizona, Tucson, AZ, USA
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2020 - 2021
MS, Electrical & Computer Engineering
The University of Arizona, Tucson, AZ, USA
Experience
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2021 - present
Structural & analytics engineer / Data scientist
Palo Alto Research Center (PARC, a Xerox company), Palo alto, CA, USA
- Development of fiber optics sensor and Internet of Things(IoT)-based structural health monitoring system
- Decentralized & scalable large-scale dynamic streaming data processing architecture & visualization code development
- Automated statistical analysis software development for large-scale time-series streaming data
- Sensor data processing algorithm development(i.e., sensor fusion algorithm, digital filter etc.,)
- Fiber optic based sensors(i.e., strain, temperature, acceleration etc.) performance validation.
- Finite element modeling & simulation for infrastructure assets
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2016 - 2021
Graduate student researcher (Detailed descriptions can be found in CV)
The University of Arizona, Tucson, AZ, USA
- High-sensitive wireless capacitive-strain sensing hardware system development for structural health monitoring(SHM) applications
- Fully automated wireless capacitive-strain sensing hardware & software system development
- Deep learning based smartphone crowdsourced road roughness measurement system development (Roadroid)
- Deep reinforcemeent learning based reinforced concrete structural design automation system development
- Deep reinforcement learning based wireless sensor network optimal control system for battery group replacement
- Computer vision based long-term sturctural dynamic displacement measurement system development using sieamese network
- Flood induced bridge scour monitoring IoT system development
- Smartphone vision based dynamic rotational angle measurement system(smartphone app) development
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2019 - 2020
Instructor
The University of Arizona, Tucson, AZ, USA
- CE 389: Material testing laboratory, Fall 2019, Spring 2020
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2018, 2021
Teaching assistant
The University of Arizona, Tucson, AZ, USA
- CE 214: Statics, Fall 2018
- CE 435/535: Prestressed concrete structures, Spring 2021
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2013 - 2015
Graduate student researcher
Konkuk University, Seoul, Korea
- Development of torsional rotation control technique for curved prestressed curved concrete girder bridge
Honors and Awards
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2021
- Outstanding graduate students for AY 2021-2022
- Graduate & professional student council travel grant
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2020
- UA Tech launch Innovation Challenge Winner ($20,000, PI, UA20-237)
- Lewis, Delbert R Graduate Fellowship
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2019
- Lewis, Delbert R Graduate Fellowship
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2018
- 1st place (poster), Dept. of Civil Eng. & Eng. Mech. poster contest
- 3rd place (poster), 15th Arizona Pavement/Materials Conference
- UA College of Engineering travel grant
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2017
- Whitenack & Dr. Russel D. scholarship
Technical Interests
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Crowdsourcing based infrastructural condition assessment
- Smartphone IMU sensors - Realtime ML infrerencing - cloud management - visualization
- State of art machine learning(ML) model development
- Decentralized processing data pipeline for efficient data flow management (mobile device to cloud)
- Large-scale noisy data refinement techniques
- Machine learning & digital signal processing techniques for simulation to realworld implementation
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Reinforcement learning(RL) based task automation
- Transformation of manual tasks to automated way via RL
- e.g.) RL based structural component design can achieve x100 computational efficiency
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High-sensitive wireless capacitance sensing system
- Low-noise, high sensitive AC-bridge based sensing systems (analog / digital mixed system)
- Fully automatic bridge balancing/amplificaiotn/calibration
Other Interests
- intuistic tennis player