Mengyang Guo

Rutgers University

Publication & Certificates

Publication

1. (submitted) Guo, M., Gong, J., Ro, S., Nenad, G., Ali, Maher. The impact of Environmental Factors on the Validity of Infrared Thermography Evaluation of Concrete Bridge Decks, submitted to Automation in Construction.

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2. (submitted) Guo, M., Gong, J., Yu Y., Senick J., Andrews J. Spatially Resolved Infrared Imaging for Building Performance Evaluation, submitted to Building and Environment.

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3. Guo, M., Gong, J., & Whytlaw, J. L. (2022). Large-scale cloud-based building elevation data extraction and flood insurance estimation to support floodplain management. International Journal of Disaster Risk Reduction, 69, 102741.

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4. Guo, M. (2021). Hurricane Ready Cloud (HRC): an ecosystem of connected sensors, data, tools, and users for resilient coastal communities (Doctoral dissertation).

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5. Zhang, T. T., Guo, M., Jin, P. J., Ge, Y., & Gong, J. (2020). Longitudinal-Scanline-Based Arterial Traffic Video Analytics with Coordinate Transformation Assisted by 3D Infrastructure Data. Transportation Research Record, 0361198120971257.

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6. Thomas, N., Calderön, L., Senick, J., Sorensen-Allacci, M., Plotnik, D., Guo, M., ... & Mainelis, G. (2019). Investigation of indoor air quality determinants in a field study using three different data streams. Building and Environment.

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7. Wang, Z., Hu, H., Guo, M., & Gong, J. (2019). Optimization of Temporary Debris Management Site Selection and Site Service Regions for Enhancing Postdisaster Debris Removal Operations. Computer‐Aided Civil and Infrastructure Engineering, 34(3), 230-247.

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8. Guo, M. (2016). Spatially resolved infrared imaging for building performance evaluation.

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9. Zhou, Z., Gong, J., & Guo, M. (2015). Image-based 3D reconstruction for posthurricane residential building damage assessment. Journal of Computing in Civil Engineering, 30(2), 04015015.

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10. Working on:Building a Cloud-based Data Collaboratory for Hurricane Damage Assessment

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11. Working on:Cloud-based Virtual Hurricane Damage Assessment with Multi-Sourced Disaster Data

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Certificate and Awards

1. AWS Certified Machine Learning Specialty - 2022

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2. AWS Certified Solution Architect Associate - 2022

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3. 2019 fall -2020 spring: NSF Graduate Research Fellowship

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4. 2019 ASCE Computing Division: Best Presentation Reward

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5. FLIR Level I Infrared Thermographer

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Presentation and Seminar

1.9/15/2020 Bentley Applied Research Seminar 2020(2:00pm - 4:00pm, Tues)

Convergence of Sensing, Data and Analytics, Infrastructure Design/Engineeering, and Huamn Studies for Resilient, Health, and Equitable Communities. Dr Jie Gong and Mengyang Guo
Seminar Photo

2.3/30/2020 - 4/3/2020 ADCIRC Week in Baton Rouge, La

2020 ADCIRC Week in Baton Rouge, La

3. 1/25/2020 Rutgers Geology Museum 52nd Annual Open House

Immersive Exploration of Coastal Coummunities in a Changing Climate

4. 1/13/2020 TRB: CCTV Traffic Video Analytics with Fast Recalibration Assisted by 3D Infrastructure Data

TRB 2020: CCTV Traffic Video Analytics with Fast Recalibration Assisted by 3D Infrastructure Data
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5. 11/6/2019 Public Informatics Seminar, Rutgers Bloustein School, room 170 10:00 am

LiDAR and Computer Vision in Urban Planning

6. 10/15/2019 NJAFM 15th Annual Conference

FEMA Rebuilding with Greater Resiliency Project

7. 9/17/2019 Bentley Seminar: Digital Twins for City Infrastructure

Building Digital Twins for Future Communities

8. 6/17-19/2019 The 2019 ASCE International Conference on Computing in Civil Engineering: Future Cities and REsilient Infrastructures

Building a Cloud-based Data Collaboratory for Hurricane Damage Assessment
Meeting Info
Best Presentation Reward 2019

9. 10/17/2017 NJDOT Research Showcase

Web-based/ Immersive Visualization of Bridge Condition data from multiple sources to support transportationn asset management: Click to View
Event Photo

10. 2017 Annual Meeting of Command, Control & Interoperability Center for Advanced Data Analysis

Inundation Risk Information System (IRIS) Viewer: Click to View
Meeting Info

11. 10/20/2016 NJDOT Research Showcase

Web-based Visualization of Bridge Condition Data from Multiple Sources to Support Bridge Condition Evaluation: Click to View