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AI symposium, Bearcat AI Award

AI & Emerging Technology Symposium, UC Bearcat AI Award,  

Presentation at the UC 2026 AI & Emerging Technology Symposium on 02/18/2026 at UC TUC Center.

AI-Based Spatial Computing with BIM: Performance, Sustainability, and Wayfinding on the UC Campus

This project introduces an AI-enhanced spatial computing framework that integrates building-scale digital twins with intelligent autonomous navigation. Using BIM-derived geometry and utility metadata, the system combines LLM-assisted building-performance analytics with predictive modeling to support sustainable operations across an interactive, campus-scale digital twin environment. In parallel, we present INARA, a ROS 2–based indoor navigation platform that merges BIM-accurate simulation environments with a hybrid deep-reinforcement-learning and classical-control architecture, enabling safe, adaptive mobile-robot navigation within UC facilities.

Together, these systems advance AI-driven spatial computing by unifying building analytics, embodied intelligence, and digital–physical interoperability—laying the foundation for next-generation smart-building management and autonomous robotic applications.

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THRED

Technology for Health, Resilience, Equity , and Decision-Making 

Team: A&S: Kelly Merrill, Lauren Forbes, Briana Simms, Paris Wheeler, Diego Cuadros, DAAP: Ming Tang

Funding: Center for Clinical & Translational Science & Training. CCTST. Pilot Grant. $50,000. PI. Merrill, Forbes,  Co-I. Tang, Cuadros, Simms, Wheeler. 2026. University of Cincinnati.

Project Aims: 

Aim 1: Co-design a set of digital data governance policies that reflect Black community preferences, concerns, and expectations around the use of their digital health data.  

Aim 2: Assess the utility of digital twin technology (3D city modeling with VR) for community advocacy and population health-related objectives. 

Aim 3: Co-design and develop a community-driven, population health intervention and participatory planning tool. 

Ming Tang’s involvement in the human-centered digital twin can be traced back to his work at the MSU MIND Lab roughly two decades ago, and the THRED project builds directly on that foundation. There is also a clear conceptual link to HomeNetToo project then, where multiple interfaces—a standard web interface, a spatial interface, and an interpersonal interface—were developed to examine how different modes of interaction influence knowledge acquisition across varying cognitive styles. That early work established an important premise: the design of an interface fundamentally shapes how users interpret, understand, and engage with information.

THRED extends this line of inquiry beyond controlled experimental settings into a real-world, system-scale platform by integrating digital twins, and data-driven decision environments. Rather than comparing interfaces in isolation, it synthesizes them—bringing together spatial (3D environments), informational (data visualization and dashboards), and social (community and stakeholder engagement) interfaces into a unified ecosystem. In this sense, THRED represents a shift from experimental interaction design toward an applied, human-centered digital twin framework. It maintains continuity with earlier immersive technology research while significantly expanding its scope, enabling new forms of collective understanding, decision-making, and behavioral insight at urban and societal scales.

Adondale Digtal Twin (ADT) Prototypes

1. DATA VIZ ADT

mobile phone must be put in horizonal orientation in order to see buttons

Embeded example of  “DATA VIZ DT“. Full screen version click here. 

2. Social ADT

Social DT“. Embeded Version below. You can also check out the full screen version Here. 

 

Expalnination

screen shot of earlier versions. 

 

Therapeutic Crisis Intervention Simulation, Phase 3

We are excited to announce the launch of Phase 3 of the VR-Based Employee Safety Training: Therapeutic Crisis Intervention Simulation project, building on the success of the previous two phases. This interdisciplinary collaboration brings together the Immersive Learning Lab and the Employee Safety Learning Lab at Cincinnati Children’s Hospital Medical Center (CCHMC), in partnership with the Extended Reality Lab (XR-Lab) at the University of Cincinnati. 

This phase will focus on developing an advanced virtual hospital environment populated with digital patients to simulate a variety of real-world Therapeutic Crisis Intervention (TCI) scenarios. The digital twins encompass both the hospital setting and patient avatars. The project aims to design immersive training modules, capture user performance data, and conduct a rigorous evaluation of the effectiveness of VR-based training in enhancing employee safety and crisis response capabilities

Principal Investigator: Ming Tang. Funding Amount: $38,422. Project Period: April 1, 2025 – December 1, 2026

CCHMC Collaborators: Dr. Nancy Daraiseh, Dr. Maurizio Macaluso, Dr. Aaron Vaughn.

Research Domains: Virtual Reality, Safety Training, Therapeutic Crisis Intervention, Mental Health, Digital Twins, Digital Humans, Human Behavior Simulation.

We look forward to continuing this impactful work and advancing the role of immersive technologies in healthcare education and safety training

Concept of Digital Twin: Digital Patient + Digital Hospital.

publicaiton
Daraiseh, N. M., Tang, M., Macaluso, M., Aeschbury, M., Bachtel, A., Nikolaenko, M., … Vaughn, A. (2025). Virtual Reality Training to De-escalate Patient Aggressive Behavior: A Pilot StudyInternational Journal of Human–Computer Interaction, 1–16. https://doi.org/10.1080/10447318.2025.2576635

SMAT: Scalable Multi-Agent AI for DT

SMAT: Scalable Multi-Agent Machine Learning and Collaborative AI for Digital Twin Platform of Infrastructure and Facility Operations.

Principal Investigators:

  • Prof. Sam Anand, Department of Mechanical Engineering, CEAS
  • Prof. Ming Tang, Extended Reality Lab, Digital Futures, DAAP

Students: Anuj Gautam, Manish Aryal, Aayush Kumar, Ahmad Alrefai, Rohit Ramesh, Mikhail Nikolaenko, Bozhi Peng

Grant: $40,000. UC Industry 4.0/5.0 Institute Consortium Research Project: 03.2025-01.2026

Partner: Cincinnati Incorporated

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P&G VISM

Project VISM (Virtual Interactive Simulation for Material customization)
Interactive Visualization with User-Controlled, Procedural-Based, and Physical-Based Material Customization.

PI. Ming Tang.

P&G Team: Kim Jackson, Andrew Fite, Fei Wang, Allison Roman

UC Team: Ming Tang, Aayush Kumar, Yuki Hirota

Sponsor: P&G. 12/01/2024 – 5/31/2025

Amount: $28,350


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