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Dr. ZhiQiang Chen

Associate Professor,  School of Computing and Engineering

University of Missouri, Kansas City

350F Flarsheim Hall

5100 Rockhill Rd.

Kansas City, MO 64110-2499

Email: chenzhiq@umkc.edu
Office: 816-235-1279; Fax: 816-235-1260


Short Bio

Dr. ZhiQiang Chen joined the Civil and Mechanical Engineering Department at University of Missouri-Kansas City in 2010. Dr. Chen received his Ph.D. in Structural Engineering from University of California, San Diego in 2009, where he completed his cross-disciplinary dissertation titled “Identifying Structural Damage from Images”. Prior to joining UMKC, he conducted research in nonlinear soil-structure system modeling, geotechnical centrifuge modeling, and system identification as a postdoctoral researcher at UCSD.

Dr. Chen currently teaches undergraduate courses in Structural Engineering, and direct graduate and doctoral research in both Civil  Engineering and Electric and Computing Engineering .

Besides directing the research lab (DIGIT), Dr. Chen directs the UMKC Lab for Big Imaging and Smart Technologies under the 2016 Provost’s Strategic Funds.

I am also affiliated with NSF-funded NSF Big Learning Center.

I also consult as a co-founder and CSO at  Untitled.

For my courses, please see this page.

My CV can be found here ZQC_CV_2015-2016

My ORCID: http://orcid.org/0000-0002-0793-0089.

Academic InterestsMulti-hazard and Disaster Resilience Science and Engineering.
Particularly I focus on exploring methodologies in the following thrust areas:
  1. Physical and computational modeling of soil-structure systems; multi-hazard structural performance assessment with uncertainties; computational hydrogeological (soil-water system) hazard modeling; probabilistic and analytic resilience modeling for communities and crop systems
  2. Remote sensing-based disaster assessment; remote sensing and image-based understanding; remote sensing for building resilience into infrastructure systems and urban communities; vision assisted structural health monitoring; and hyperspectral imaging, deep learning, and applications

Awards and Funded Projects
Active Externally Funded Projects
  • DOT SBIR (prime: Aware Vehicles), “High-Spatial- and Hyperspectral-Resolution Imaging for Bridge Inspection
  • NSF SBIR (prime: Aware Vehicles), “Situational Awareness in Autonomous Agriculture”.
  • UMKC Strategic Funds, “UMKC Center for Big Imaging and Smart City Technologies” ($200k)
Completed Externally Funded Research/Education Projects
  • Missouri Extension, “Empowering communities with smart drone networks for resilient disaster response” ($20k)
  • NSF through Missouri Transect Seed Grant, “Development of Aerial-Ground Sensing and Data-enabled Vulnerability-Resilience Modeling for Crop Systems subject to Drought” ($75k).
  • USDA “NIFA-BARD Collaborative: Rapid Hydrophobicity Sensing and Computing through MAV-based Hyperspectral Imaging”, PI, $148,995, 08/01/2015~03/31/2018
    • Role in the project: PI; collaborate with Professors Eyal Ben-Dor and Rony Wallach at Israel in development of rapid drone-based hyperspectral imaging and computing methods for monitoring and analyzing soil hydrophobicity
    • To develop the next-phase USDA CAP grant in response to local, national and global water crisis and other disasters in agriculture (e.g. wildfire and mudflow) due to climate changes.
  • NCHRP 14-29Assessing, Coding, and Marking of Highway Structures in Emergency Situations”, $31,000, 10/2013-10/2015.
    • Role in the project: Disaster Informatics Expert, co-PI; collaborate with Oregon State, Merrimack and industry partners in developing the first national transportation structures assessing, coding and marking technologies and guidelines.
    • Principally in charge of smart app development and guidelines for transportation structures assessing, coding and marking.
  • NASA Enhancing E-DECIDER with Loss and Damage Estimation Capability”, $30,000 (http://e-decider.org/), 10/2013-10/2015.
    • Role in the project: Co-PI; collaborate with NASA/JPL, UC Davis, Indiana University, ImageCat, Inc and national/local (mainly California) stakeholders in emergency responses in developing remote sensing-based damage detection, damage mapping, mobile cloud computing, and crowdsourcing innovations.
    • Ultimately the research team aims to develop the next-generation disaster forecasting, preparedness and response decision-making gateways based on geophysics, remote sensing, and crowdsourcing-based technologies.
  • University of Missouri System’s Interdisciplinary Inter-Campus AwardDevelopment and Application of a Hybrid Material Point and Immersed Finite Element Method (MPM-IFE) to Soil-Water Flow Modeling Considering Hydrophobicity”, $59,400, 08/2015 ~ 07/2016
    • Role in the project: PI; collaborate with Dr. Xiaoming He at Missouri University of Science and Technology
    • The objective of this IDIC proposal is to develop a novel finite element-based approach by a hybrid framework of using the promising material point method (MPM) and the emerging immersed finite element (IFE) method. The resulting MPM-IFE framework will be applied to simulate a complex hydro-mechanics problem, namely soil-water flow considering hydrophobicity.
  • NASA, “High-level Understanding and Real-time Computing of Remotely-Sensed Very-High-Resolution Images for Built Environment Monitoring and Disaster Assessment”; $50,000, 10/2012-08/2014.
    • Role in the project: so-PI; explore and develop new disaster scene understanding algorithms (‘disaster object bank’)
  • IBM Smarter Planet Faculty Innovation Award, “Smart Sensing and Computing for Smarter Energy”, 2011, co-PI: $5,000, 12/2011-12/2012.
    • Role in the project: so-PI; explore mobile and cloud computing methodologies for smarter energy analytics for residences and public spaces
  • University of Missouri Research Board, “Design-oriented Scoured Foundation Modeling”, 2011, sole-PI: $25,900, 1/2011-8/2012.
    • Role in the project: so-PI; explore and develop multi-hazard probabilistic soil-structure bridge system assessment considering flood/tsunami induced scour; develop flume-based soil-structure system monitoring and identification
  • Toyota Research Initiation Award, “Social Justice in Smart Energy”, co-PI: $5,000, 08/2011-08/2012.
    • Role in the project: co-PI; development of mobile and cloud smart apps for smarter energy analytics for residences and public spaces
Media Coverage

A Disaster, Infrastructure, and Geointelligence Technology Lab