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CIC-VISTA

  

Following six successful phases of the Building Safety Analysis with AI / Geospatial Imagery Analytics Research project (2020–2025), funded by the Cincinnati Insurance Companies (CIC), we are pleased to announce the launch of a new research initiative: VISTA – Virtual Immersive Systems for Training AI.

VISTA – Phase 2 ($74,368) 

Project Title: Virtual Immersive Systems for Training AI, Phase 2. PI: Tang. Award Amount: $74,368. Project Period: 06/01/2026 – 11/01/2027

VISTA – Phase 1 ($81,413) marks the continuation of XR-Lab’s collaborative research efforts at UC with CIC. This new track will explore advanced AI-related topics, including computer vision, synthetic imaging, procedural modeling, machine learning, and reinforcement learning.

Project Title: Virtual Immersive Systems for Training AI, Phase 1. PI: Tang. Award Amount: $81,413. Project Period: 07/01/2025 – 11/01/2026

 

Gensler’s AI Award

SENSE-AI – Developing Spatial Experiences for Narrative and Sensory Emotions with AI. 
Gensler
. AI Excellence in the Design Process Award.
PI: Tang. Amount: $100,000. Period: 06, 2026- 06.2027.

I’m very grateful to share that UC’s proposal “SENSE-AI: Developing Spatial Experiences for Narrative and Sensory Emotions with AI” has received Gensler’s AI Excellence in the Design Process Award. It is truly an honor, and we deeply appreciate Gensler’s support. 

We will explore how emerging technologies can support human-centered spatial prototyping in academic settings through iterative cycles of ideation, AI-assisted synthesis, immersive testing, and narrative refinement, informed by environmental psychology methods such as the Pleasure–Arousal–Dominance (PAD) framework. We will also explore how AI can function as a design collaborator throughout the full design process—from site analysis and early concepts to 3D modeling, animation, performance evaluation, and immersive representation—using AI and XR to experiment with new forms of architectural experience.

We are excited about the opportunity to share our research and teaching of AI with Gensler architects and to learn together about how emerging AI tools are shaping the future of professional design practice.

Motivation

Spatial design can be understood as a procedural system structured around differentiated knowledge layers, where core knowledge emerges from previous design iterations, reference material draws from precedent projects, critique incorporates user and community feedback, experience is captured through VR interaction logs, and judgment evolves through design decisions over time. This process is grounded in experiential cognition data, where design intelligence is not only derived from static information but from the dynamic interplay of precedent, narrative, user feedback, and simulation. Within this framework, digital twins act as integrative platforms that combine spatial data, behavioral simulation, historical layering, user perception, emotional response, and embodied interaction to create a more holistic representation of environments. While AI as a design agent has made significant progress through an automation layer that includes generative AI for images and design, simulation pipelines, and digital twin workflows, it still lacks critical human-centered capacities such as spatial reasoning, embodied experience, human perception, and emotional response. Future directions point toward bridging this gap through XR-enabled systems, where XR functions as a judgment engine by training AI with real-time human data such as VR user feedback, eye tracking, and emotional signals. In parallel, a human–AI co-design loop can be established in which AI generates ideas, humans critique them within immersive XR environments, and the system continuously updates its knowledge layers, enabling more informed, adaptive, and context-aware design intelligence over time

Reference

Gensler is a global architecture, design, and planning firm. Founded in 1965, Gensler has built a team of 6,000 professionals who partner with clients in over 100 countries each year on projects that act as catalysts for growth.

Design as Storytelling: How AI Is Transforming the Way We Imagine, Create, and Connect. Jordan Goldstein. Gensler blog.

 

Featured @ UC News

 

Honored to be featured in University of Cincinnati News discussing how AI is shaping architecture and research innovation. Thanks Claudia Rebola for the interview.

AI as a creative partner

Exploring AI’s role in architecture and research innovation

By Claudia Rebola. 03. 2026

In architecture and design, artificial intelligence is increasingly becoming more than a tool; it’s a collaborator. University of Cincinnati architecture professor Ming Tang is exploring how AI can enhance research, teaching, and design creativity in his XRLab (Extended Reality Lab).Tang’s lab is focused on more than visualization and immersive experiences; it investigates how digital technologies and computational methods intersect with human-centered design. A significant area of research is computer vision. “AI has become powerful enough to recognize not just objects but the meaning of images,” Tang said. One long-term project, conducted with Cincinnati Insurance Companies, uses AI to assess building risk in the event of hurricanes. By annotating images and training AI models, his team can classify building components and predict vulnerabilities as a practical application that integrates architecture, computation, and real-world problem solving.Another research area involves large language models. Tang’s lab uses AI to enhance VR-based training, simulating interactions of users with the built environment. “Feeding large datasets into AI lets us communicate complex information to people who are not experts,” he said. These tools support a new level of simulation research from smart building management, digital twins, and Internet of Things applications, allowing humans to interact meaningfully with massive, previously opaque data sets.

Check out the full interview at UC News : AI as a creative partner

Credit: Rendering by Meghan Powell, Emma Cek for the “Museum of Emotions” course. Photo provided.

DT & AI for AEC showcase

Digital Twins,  AI Design Showcase-Higher Education explored emerging digital technologies and their impact on the AEC industry. The event was organized by the Cincinnati BIM User Group and held on April 16, at College of Design Arcgutectyre, Art, and Planning (DAAP), University of Cincinnati.

Hosted by Prof. Ming Tang at the DAAP, the showcase featured student work from the University of Cincinnati, Northern Kentucky University, and Cincinnati State. Attendees experienced digital twin, AI, and BIM technologies firsthand, highlighting how these student teams are helping shape the future of the AEC workforce.

The UC team presented several projects, including digital twins integrated with IoT, AI-based spatial computing with BIM (focusing on performance, sustainability, and wayfinding on the UC campus), and the SENSE + AI studio.

 

Photo by Nicholas Namyar. 04.16.2026

Special thanks to IMAGINiT Technologies for sponsoring this event.

Historic Avondale in VR

Virtual Reality Development for Historic Avondale and Digital Heritage 

Principal Investigator (PI):  Anne Delano Steinert, Co-PI: Ming Tang. ($14,000 allocation to DAAP)
Society and Culture Grant, UC Research Office.  2026. University of Cincinnati. 
Timeline: 1/13/2026-07/01/2026 


Project Overview

The Historic Avondale Digital Heritage Project aims to create an immersive Virtual Reality (VR) reconstruction of Cincinnati’s historic Avondale neighborhood, focusing on cultural heritage preservation and community engagement. Through a collaborative effort between A&S and DAAP’s XR-Lab, the project will visualize approximately six urban blocks of Avondale as they appeared in a historically significant period in 1950s, enabling users to explore the environment through VR headsets and interact with its digital elements. 

This initiative supports experiential learning, public history dissemination, and digital preservation. The final VR experience will be designed for accessibility on standalone VR headsets (Meta Quest) and optimized for community outreach, classroom education, and museum-style exhibition. 

 

 Scope of Work

The Extended Reality Lab (XR-Lab) will lead the technical development, 3D modeling, and immersive environment creation. 
Specific responsibilities include: 

  • Environment Modeling: Develop a high-fidelity 3D digital model of approximately six blocks of historic Avondale, including building facades, streetscapes, and key landscape features based on historical references. 
  • Visual Assets: Integrate architectural elements, materials, vegetation, street furniture, and atmospheric lighting to accurately represent the period context. 
  • Immersive Interactivity: Configure the scene for full VR immersion, allowing users to navigate and interact using Meta Quest headsets. 
  • Narrative Integration: Collaborate with the A&S team to embed audio narratives, historical commentary, and interpretive storytelling within the VR experience. 
  • Optimization & Testing: Optimize performance for standalone VR headsets, conduct iterative testing, and ensure accessibility and stability for public demonstration. 
  • Deployment: Package and deliver a functional VR build ready for viewing via Meta Quest Browser or as an installable application. 

 Deliverables

  • VR Model of Historic Avondale – A completed, interactive VR environment covering approximately six city blocks. 
  • High-Fidelity Visual Assets – Accurately modeled architecture, landscape, and environmental elements. 
  • Integrated Audio Narratives – Recorded and embedded voiceovers provided by A&S collaborators. 
  • VR-Ready Application – Optimized and deployable version compatible with Meta Quest 3 headsets. 
  • Documentation Package – Summary of technical workflow, file structure, and recommendations for future updates or expansion. 

Figure 1. Coloraization of a historic photo with AI. Reality Capture. By student Edwina Adu Bimpong, Mario Bermejo.

Figure 2. video clips based on historic photo, using AI. 

Figure 3. AI-augmented reconstruction.

Student team: Braxton Xavier Bush, Nicholas R. Lysaght, Logan Aleczander Saylor, Lucas Frank Tereck, Lillian Denise Wick, Mario Bermejo, Edwina Adu Bimpong, Collin Andrew Bradley, Raamprakash Kalaiyarasan, Prize Mathew, and Bozhi Peng. Aayush Kumar as TA.