Posts

NSF: Work Well

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 historic sensor data sets into an interactive 3D model.

See more details on the Digital Twin workflow.

 

Building Analysis with ML

Geospatial Imagery Analytics Research. Phase II. Sponsored research by the Cincinnati Insurance Companies. PI. Ming Tang. $79,980. Period: 10.2021- 08.2022. Grant: G402236.

The goal is to use A. I, ML, DL to understand building typology and evaluate building safety. 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. 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).

 

Protected: EVRTalk

This content is password protected. To view it please enter your password below:

Virtual Reality for caregiver training

Assess the effectiveness of using Virtual Reality for caregiver training

Urban Health Pathway Seed Grant. PI: Ming Tang. Partner. Council of Ageing, LiveWell Collaborative. $19,844. 03. 2021-3.2022

 

This project aims to investigate the effectiveness of using Virtual Reality to build empathy for the care recipient by allowing the caregiver to experience day-to-day life from the care recipient’s perspective. Ming Tang leads a research team to work with COA and LiveWell Collaborative to develop and evaluate an expandable set of VR training modules designed to help train family and friends who are thrust into the caregiving role. Ming Tang lead the LWC team and design the simulated decision trees, scenarios, and hand-tracking technologies in an immersive VR environment.

COA is awarded $25,000 from the CTA Foundation Grant in 2021.

In the UC News. share point.