AI symposium, Bearcat AI Award

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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

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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. 

 

Example of Adondale DT: Avondale_Birdseye – PLAYCANVAS

Playable version in Viverse: Avondale in Metaverse

 

Metaverse: Gen-AI + WebXR

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Two UC teams won the second and third place and cash awards of Viverse Spark Global University Challenge social experience category!

Metaverse through Web XR 

Soical Expereince CategorAwards:

2nd  Place, $2,500.  – Restaurant world, University of Cincinnati. Camryn Lansdell, Liv Adkins, Bekah Selent, Morgan Pascarella. 

3rd Place, $1,500 – OTR 12th and Vine, University of Cincinnati. Eian Bennett, David David, Corban McIntosh, Dharma Patel, Erik Mathys

Read more at HTC VIVERSE Hits 1 Million Users, Announces Winners of First Global “Spark” Hackathon: Games, Immersive Storytelling, Social Experiences

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ARCH Seminar. Memory of the World

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Digital Heritage through VR and Generative AI

ARCH 7036-04/ARCH5051-04.Elective Theory Seminar, SAID, DAAP, Spring 2025

Class time: Monday. 10 am -12:50 pm.  Classroom: 4425-E, CGC Lab, DAAP building. 

Faculty: Ming Tang, Professor in Architecture and Interior Design, DAAP. Director of  Extended Reality Lab. XR-Lab

Seminar Description

This seminar invites students to explore the intersection of architecture, history, artificial intelligence, and immersive technologies by reimagining the past through digital heritage. Drawing on historic documents and archival materials from Cincinnati, students will work closely with historians to reconstruct a Cincinnati neighborhood as it existed in the 1950s, allowing users to step back in time and experience its spaces and stories through immersive visualization and virtual reality (VR).

Throughout the semester, students will investigate how generative AI, virtual reality (VR), and interactive visualization can preserve and reinterpret cultural memory. Using Unreal Engine as the primary platform, participants will design interactive VR environments for mobile headsets, creating spaces where history, atmosphere, and narrative merge into immersive experiences. The seminar aligns with UNESCO’s  Memory of the World initiative, emphasizing the preservation of documentary and architectural heritage for future generations.

In addition to a large collaborative group project, each student will conduct a samll individual research-based design investigation focused on a “lost” historic artifact—such as a forgotten art work or street furniture. Through AI-assisted modeling, reality capture, and digital prototyping, students will gain hands-on experience reconstructing the intangible layers of history while developing advanced technical and conceptual skills in digital heritage creation.

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Paper: VR Training to De-escalate Patient Aggressive Behavior

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Journal Paper: Virtual Reality Training to De-escalate Patient Aggressive Behavior: A Pilot Study

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 Study. International Journal of Human–Computer Interaction, 1–16. https://doi.org/10.1080/10447318.2025.2576635

Abstract
Despite intensive crisis de-escalation training, psychiatric staff continue to face high injury rates from aggressive patient interactions (APIs). New approaches are needed to enhance the application of effective strategies in managing APIs. This study explored the efficacy and feasibility of VR training for psychiatric staff in recognizing and selecting appropriate de-escalation interventions. A quasi-experimental design with psychiatric staff (N = 33) tested the effectiveness and feasibility of VR training depicting a common API interaction. Effectiveness was assessed through pre-post comparisons of the Confidence in Coping with Patient Aggression (CCPA) survey, correct answer percentages, response times, and attempt success rates. Feasibility was indicated by mean scores above ‘neutral’ on usability, presence, and learner satisfaction surveys. Results showed significant improvements in response times and confidence (p<.0001), with over 75% of participants rating the training positively. VR training is effective and feasible for enhancing de-escalation skills, offering a promising approach for psychiatric facilities.

More information on the project Therapeutic Crisis Intervention Simulation. P1,P2