Posts

Therapeutic Crisis Intervention Simulation

VR-based Employee Safety Training. Therapeutic Crisis Intervention Simulation 

Grant: Virtual Reality for Employee Safety Training. Sponsored research by the Cincinnati Children’s Hospital Medical Center. PI. Ming Tang. $16,631. Period: 6.2022- 09.2022.

Led by Ming Tang, the XR-Lab is working with Cincinnati Children’s Hospital Medical Center (CCHMC) to investigate a VR-based simulation for employee safety training. A virtual hospital with A.I-controlled characters will be created to research various scenarios during the therapeutic crisis intervention.

Team:

  • Ming Tang, Nancy Daraiseh, Maurizio Macaluso, Krista Keehn, Harley Davis, Aaron Vaughn, Katheryn Haller,  Joseph Staneck, Emily Oehler
  • Employee Safety Learning Lab, CCHMC
  • Extended Reality (XR) Lab, UC

Field of research: Virtual Reality, Safety Training, Therapeutic Crisis Intervention, Mental Health,  Human Behavior Simulation

Links: CCHMC College Hill Mental Health Campaign

NSF: Future of Work

Ming Tang worked as co-Investigator on the project funded by the NSF Grant. 

Future of Work: Understanding the interrelationships between humans and technology to improve the quality of work-life in smart buildings.

Grant: #SES-2026594 PI:  David W. Wendell. co-PIs: Harfmann, Anton; Fry, Michael; Rebola, Claudia; co-Is: Pravin Bhiwapurkar, Ann Black, Annulla Linders, Tamara Lorenz, Nabil Nassif, John Seibert, Ming Tang, Nicholas Williams, and Danny T.Y. Wu.  01-01-2021 -12-31-2021 National Science Foundation $149,720. Awarded Level: Federal 

The objective of this proposed planning project is to mobilize a multidisciplinary team of researchers to develop the methodology for collecting, analyzing, and correlating existing discipline-specific research and data about buildings and the workers in them in search of interactions that have not yet been uncovered. Specifically, we will explore the interrelationships among 1) overall building performance, 2) indoor and outdoor environmental conditions, 3) physical health, and 4) satisfaction with the work environment.

Ming Tang worked on the Digital Twin model to assemble multiple historical sensor data sets into an interactive 3D model.

See more details on the Digital Twin workflow.

 

Building Safety Analysis with Machine Learning

Grant received:

  1. Geospatial Imagery Analytics Research-Phase I. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. Co-PI: Jiaqi Ma. $59,000. Period: 02.2020- 12.2021. Completed.
  2. Geospatial Imagery Analytics Research. Phase II. Sponsored research by the Cincinnati Insurance Companies. P.I. Tang. $79,980. Period: 10.2021- 08.2022. Grant: G402236. 2021. Ongoing.
  3. Geospatial Imagery Analytics Research. Phase III. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $15,709. Period: 6.2022- 06.2023.

Grant under contract signning:

      4. Geospatial Imagery Analytics Research. Phase-4. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $48,646. Period: 1.2023- 10.2023.

The goal is to use A. I, Machine Learning, Deep Learning algorithm to understand the correlations between building safety to its typology and context. Please contact Professor Ming Tang if you are a UC student and interested in participating in the project.

Login to the project resource page. ( password needed)

 

Eye-Tracking for Drivers’ Visual Behavior

Impacts of Work Zone Traffic Signage Devices and Environment Complexity on Drivers’ Visual Behavior and Workers Safety.

Ph.D student: Adebisi, Adekunle. CEAS – Civil & Arch Eng & Const Mgmt

Undergraduate student: Nathan Deininger, 

Faculty. Ming Tang

The objective of this study is to investigate the safety of roadway workers under varying environmental and work zone conditions. To achieve the objectives, a driving simulator-based experiment is proposed to evaluate drivers’ visual attention under various work zone scenarios using eye-tracking technologies.

Grant.

  • Using Eye- Tracking to Study the Effectiveness of Visual Communication. UHP Discovery funding. University Honor Program. UC. $5,000. Faculty advisor. 2021.
  • Adekunle Adebisi  (Ph.D student at the College of Engineering and Applied Science) applied and received a $3,200 Emerging Fellowship Award By Academic Advisory Council for Signage Research and Education (AACSRE).

 

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