English

Ming Tang is a Full Professor at the University of Cincinnati’s School of Architecture and Interior Design and the Director of UC’s eXtended Reality (XR) Lab. As a tenured professor within the College of Design, Architecture, Art, and Planning, he merges his architecture and digital technology expertise to push the boundaries of Architecture, engineering, construction (AEC), and spatial computing. Tang’s professional qualifications include being a registered architect, NCARB, and LEED AP. His leadership roles extend to HCII VRMR program board, UC’s AI in Research committee,  Institute for Research in Sensing (IRiS) leadership committee, and the editor of Architecture Journal.

His research centers on integrating extended reality technologies within the AEC sector, including extended reality, digital twins, artificial intelligence, large language models, and machine learning. He is recognized for his expertise in the metaverse, game-based learning, computational design, digital fabrication, and generative, performance-driven design. His work also spans digital human modeling and behavior simulation, contributing to immersive environments and human-computer interaction. Tang’s academic excellence is evident in securing $2.5 million in external funding, authorship of three books, publication of 70 peer-reviewed papers, and receipt of 41 prestigious awards.

  • Application of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in higher education, healthcare, public safety, and workforce training.
  • Integration of digital twin technology, reality capture, and Internet of Things (IoT) in AEC and industrial manufacturing.
  • Exploration of human-computer interaction in the metaverse focuses on learning through serious games.
  • Development of digital humans and utilization of Large Language Models (LLMs) for immersive and interactive experiences.
  • Application of Artificial Intelligence (AI), Machine Learning (ML), and Reinforcement Learning (RL) for creative design, automation, and predictive analysis.
  • Incorporation of Building Information Modeling (BIM), computational design, digital fabrication, and generative design within the design field.

Before his tenure at the University of Cincinnati, Tang held several positions, including the Director of the Electronic Design program and a professorship in the Architecture Department at Savannah College of Art and Design. His diverse working experience includes the MIND Lab at Michigan State University, the Institute for Creative Technologies at the University of Southern California, and the China Architecture Design & Research Group.

Tang’s educational background is as varied as his professional experience. He holds a Master of Architecture Degree from Tsinghua University, a Master of Arts in Digital Media and Technology from Michigan State University, and a Master of Fine Arts in Interactive and Game Design from Savannah College of Art and Design. Additionally, he is a founding partner of TYA Design.

中文

唐明
美国注册建筑师 | LEED 绿色建筑专业认证
个人网站:ming3d.com

唐明现任美国辛辛那提大学,设计,建筑,艺术和规划学院,建筑与室内设计系终身教授,并担任该校现实实验室(XR-Lab)主任。他同时是国际人机交互+扩展现实大会委员会、UC感知技术研究所人工智能委员会、信息技术委员会、工业5.0委员会成员。唐明亦为TYA Design 建筑设计公司创始人。

作为美国注册建筑师(NCARB)与美国建筑师协会(AIA)会员,唐明拥有扎实的行业背景,并获LEED 绿色能源与环境设计先锋认证。他曾任计算机辅助建筑设计协会(ACADIA)主席(2015),并在多个国际学术组织, 学术期刊担任重要职务。

他融合建筑学与数字技术专长,不断推动建筑、工程与施工(AEC)领域及空间计算、虚拟模拟环境的发展边界。他的研究重点是将扩展现实技术融入 AEC 行业,包括扩展现实(XR)、数字孪生、人工智能、大语言模型以及机器学习。他在元宇宙、游戏化学习、计算设计、数字制造以及生成式和性能驱动设计方面具有深厚的专业能力。同时,他的研究还涵盖数字人体建模与行为模拟,为沉浸式环境和人机交互做出重要贡献。

唐明发表了70 余篇期刊与会议论文,著有多部作品,包括《参数化建筑设计》(Routledge,2014)。其学术与设计成果获得41 项国际及国内专业奖项,主持与参与的外部科研项目经费累计超过250 万美元,涵盖美国联邦、州政府及产业界合作项目。他的资助研究涵盖交通运输、公共安全、健康与福祉,以及工业制造等领域。

在加入辛辛那提大学之前,他曾在萨凡纳艺术与设计学院(SCAD)任建筑系教授及数字设计专业主任,并在南加州大学、密歇根州立大学等高校担任教学与研究工作。他分别在清华大学、密歇根州立大学、萨凡纳艺术与设计学院获得硕士学位,具备跨学科的深厚背景。


研究方向

扩展现实:虚拟现实、增强现实与混合现实
探索 VR/AR/MR 沉浸式技术在空间设计方法、数字人类、情境模拟与用户体验中的创新应用。

数字孪生与建筑信息模型
研究数字孪生(Digital Twin)、现实捕捉、GIS 城市模型、大数据可视化及参数化建模在建筑与城市尺度的应用。

人工智能与大语言模型
聚焦 AI、机器学习与生成式模型在设计创新、人机交互、行为模拟和环境评估中的潜力与方法。

人机协同与训练模拟
开发面向教育、医疗、安保与专业培训的沉浸式模拟环境,研究人因指标、用户行为与交互机制。

数字制作与智能建造
利用智能化建模、机器人加工、数控技术、激光切割与 3D 打印等手段,构建先进的参数化设计与制造工作流。

建筑性能驱动设计
结合 AI 与建筑模拟工具,研究空气品质、采光、能源等环境性能,以实现数据驱动的设计优化。