Real-time Visualization & Virtual Reality & Augmented Reality
Explores the interactive virtual reality (VR) and Augmented Reality (AR) system, and real time rendering for architectural visualization, Human Computer Interaction, spatial behavioral and way-finding studies.

project featured in Data ,Matter, Design

Bubbles: Optical Illusions of Volume.  Project by Ming Tang, Mara Marcu, and Adam Schueler is featured in the book Data, Matter, Design: Strategies in Computational Design.

Edited By Frank Melendez, Nancy Diniz, Marcella Del Signore.

ISBN 9780367369095
Published September 30, 2020 by Routledge
308 Pages 224 Color Illustrations

VR for Police Training

Develop several fully immersive 3D VR active shooter scenarios that can run on cost-effective commercially available VR hardware.

Develop and Assess Active Shooter Virtual Reality Training for Ohio Law Enforcement.  PI: J.C Barnes. Co-PI: Tang Office of Criminal Justice Services. $50,000. 09. 2020-09.2021 ( $29,608)

Using Checklists and Virtual Reality to Improve Police Investigations. Collaborative Research Advancement Grants. UC. $25,000. PI: Haberman. Co-PI: Tang, Barnes. Period: 07.2020-01.2022.

Development of a Virtual Reality Augmented Violence Reduction Training System for Active and Mass Shooting incidents. PI: Ed Latessa. Co-PIs: J.C. Barnes, Ming Tang, Cory Haberman, Dan Gerard, Tim Sabransky. $10,000. Start-up fund. UC Digital Futures anchor tenant cohort.

 

Safety Vests

Grant: Assess the effectiveness of Type 2 and Type 3 safety vests for day and night use-Phase. Ohio Department of Transportation. PI: Rich Miller. Co-PI: Ming Tang. Julian Wang. John Ash, Jiaqi Ma. $337,366.31. ($191,458.16 in FY2020  and  $145,908.15  in  FY2021) Period: 02.2020-02.2022. 

Training Simulation for snowplow

“Evaluate Opportunities to Provide Training Simulation for ODOT Snow and Ice Drivers”. Phase 2. Ohio Department of Transportation. PI: Jiaqi Ma. Co-PI: Ming Tang. $952,938. Grant #: 1014440. ODOT 32391 / FHWA Period: 01.2019-03.2022.

“Evaluate Opportunities to Provide Training Simulation for ODOT Snow and Ice Drivers”. Phase-1. Ohio Department of Transportation. PI: Jiaqi Ma. Co-PI: Ming Tang, Julian Wang. $39,249. ODOT 32391 / FHWA. Period: 01.2018- 01.2019.

Paper at Artificial Realities Conference

 

Cyber-Physical Experiences: Architecture as Interface

Turan Akman and Ming Tang’s Paper Cyber-Physical Experiences: Architecture as Interface was presented at the Artificial Realities: Virtual as an Aesthetic Medium for Architectural Ideation Symposium in Lisbon, Portugal. 2019.

Abstract:

Conventionally, architects have relied on qualities of elements such as materiality, light, solids and voids, etc. to break out of the static nature of space, and enhance the way users experience and perceive architecture. Even though some of these elements and methods helped create more dynamic spaces, architecture is still bound by conventional constraints of the discipline. With the introduction of technologies such as augmented reality(AR), it is becoming easier to blend digital, and physical realities, and create new types of spatial qualities and experiences, especially when it is combined with virtual reality(VR) early in the design process. Even though these emerging technologies cannot replace the primary and conventional qualitative elements in architecture, they can be used to supplement and enhance the experience and qualities architecture provides.

To explore how AR can enhance the way architecture is experienced and perceived, and how VR can be used to enhance the effects of these AR additions, the authors proposed a hybrid museum which integrated AR with conventional analog methods(e.g., materiality, light, etc.) to mediate spatial experiences. To evaluate the proposed space, the authors also created a VR walkthrough and collected quantifiable data on the spatial effects of these AR additions.

Akman,T.Tang,M. Cyber-Physical Experiences: Architecture as Interface at Artificial Realities: Virtual as an Aesthetic Medium for Architectural Ideation Symposium, Lisbon Portugal. 2019