Book Chapter

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Ming Tang wrote a section titled “Design and Development for Virtual Reality-based Driving Simulation” for Chapter 1 of the book Disruptive Emerging Transportation Technologies. Edited by Heng Wei, Yinhai Wang, and Jianming Ma. Published by American Society of Civil Engineers (ASCE).  2022

Disruptive Emerging Transportation Technologies provides forward-looking overview of the relevant 4IR technologies and their potential impacts on the future disruptive emerging transportation. It is a valuable reference for relevant educators to re-imagine their roles, redesign their curricula, and adopt very different pedagogical strategies to address this inevitability, particularly when they are introducing emerging technologies into transportation planning and development, infrastructure design, and traffic management.

Topics include

• 4IR technologies impacting the future of transportation such as artificial intelligence, machine learning, edge computing, fog computing, cloud computing, fifth generation innovative communications technology, virtual reality, and the Internet of Things (IoT);
• Surface transportation automation including connected vehicle (CV) and autonomous vehicle (AV) technologies, as well as other automation-based vehicles;
• Testing methods and technologies for autonomous vehicles;
• Emerging mobility services such as automated delivery and logistics, mobility as a service (MaaS), and mobility on demand (MOD);
• Shared sustainable mobility such as shared bicycle services, shared vehicle services, and first mile/last mile solutions;
• Cooperative and automated traffic control including self-organized intelligent adaptive control, eco-control and eco-ramp metering, and integrated ramp and corridor control; and
• Major unmanned aerial vehicle (UAV) technologies and their possible impacts on the future of transportation.

NSF: Future of Work

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Ming Tang worked as a co-investigator on the project funded by the NSF Grant. 

Future of Work: Understanding the interrelationships between humans and technology to improve the quality of work-life in smart buildings.

Grant: #SES-2026594 PI:  David W. Wendell. co-PIs: Harfmann, Anton; Fry, Michael; Rebola, Claudia; co-Is: Pravin Bhiwapurkar, Ann Black, Annulla Linders, Tamara Lorenz, Nabil Nassif, John Seibert, Ming Tang, Nicholas Williams, and Danny T.Y. Wu.  01-01-2021 -12-31-2021 National Science Foundation $149,720. Awarded Level: Federal 

 

The primary goal of this proposed planning project is to assemble a diverse, multidisciplinary team of experts dedicated to devising a robust methodology for the collection, analysis, and correlation of existing discipline-specific studies and data. This endeavor focuses on buildings and their occupants, aiming to unearth previously undiscovered interactions. Our research will specifically delve into the intricate interrelationships between four key areas: 1) the overall performance of buildings, 2) the indoor and outdoor environmental conditions, 3) the physical health of the occupants, and 4) their satisfaction with the work environment. This comprehensive approach is designed to provide a holistic understanding of the dynamic between buildings and the well-being of the individuals within them.

 

Prof. Anton Harfmann developed the sensor towers.

 

Ming Tang spearheaded the development of a Digital Twin model, an innovative project integrating multiple historical sensor data sets into a comprehensive, interactive 3D model. This model encompasses several vital features: the capture, analysis, and visualization of historical data; cloud-based data distribution; seamless integration with Building Information Models (BIM); and an intuitive Web User Experience (UX). Building elements are extracted as metadata from the BIM model and then overlaid in screen-based and Virtual Reality (VR) interfaces, offering a multi-dimensional data view. Further details are available at the Cloud-based Digital Twin project for a more in-depth exploration of this work.

 

See more details on the Digital Twin workflow.

 

Augmented Craftmanship @CAADRIA

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Tang, M. Augmented Craftmanship: assessing augmented reality for design-build education. 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA). Sydney, Australia. April. 2022

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Tilted Deck. Design Build in China

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Ming Tang, Yingdong Hu advised a group of BJTU students to participate in the “Xinzhaiping” Rural Design-Build Competition in China in 2021.

Project name: Titled Deck. 

BJTU Students: Bingxu Gao, Zhu Chen, Xiangyu Zhou, Haolong Guo.

Advisors: Yingdong Hu (BJTU), Ming Tang (UC)

Location: Hunan Province, China.

More info on the competition “2021乡见新寨坪·乡村建造大赛”

Award:

The build project won second place in the Rural Design Build competition 2021.

The build project also won the excellent award of the 19th 2021 Asian Design Awad.

   

Exhibition @ Reed Gallery

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Reed Gallery featuring work by DAAP faculty and staff. 02.28.2022

Human and Machine Symbiosis. Portrait drawing with A.I and Robot. by Ming Tang.

Check out the  3D tour of the virtual gallery.

This work explores how Artificial Intelligence and Robots interact with humans and form a unique symbiotic relationship in painting. The co-creation follows steps:  1. Used Machine Learning and Deep Neural Network algorithm to translate a picture of a human face into a styled image. 2. Translate the face’s representation into a parametrically controlled toolpath for the KUKA robot 3. A KUKA robot executed the art-making by holding a paintbrush.

Please check out the full paper on the art-making process here, published at the 2022  HCI conference.

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