Entries by Ming Tang

Celebrating 2026 Graduates

Big congratulations to my amazing students on their Spring 2026 graduation! 🎉 Michail Nikolaenko—who has been an XR-Lab fellow for years during his undergraduate study and contributed to numerous projects—and three outstanding graduate students I’ve had the pleasure of advising on their thesis: (Johnny) Bozhi Peng, Mario Bermejo, and Aleksm Yermakov! A huge shout-out to […]

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; […]

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 […]

Historic Avondale in VR

Virtual Reality Development for Historic Avondale and Digital Heritage  Principal Investigator (PI):  Anne Delano Steinert, Co-PI: Ming Tang. 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. […]

ASTRO Award

Congratulations to XR-Lab Fellow Aayush Kumar on being awarded the 2026 Armstrong ASTRO Fellowship for the Discovery Program by the University of Cincinnati Office of Research.   This fellowship provides $6,000 in support for Aayush’s project, INARA (Intelligent Navigation and Autonomous Response Agent). The project explores innovative approaches to autonomous navigation through a hybrid framework […]