Call for Papers: Architecture Journal Special Issue

Call for Papers: Architecture Journal Special Issue

Next-Generation Building Performance and Optimization

Dear Colleagues,

The Architecture, Engineering, and Construction (AEC) industry is undergoing rapid transformation driven by artificial intelligence (AI), computational design, and digital twin technologies. As the demand for high-performance, low-carbon buildings grows, research focus has shifted from isolated efficiency measures to integrated frameworks linking early-stage design with long-term operation. This Special Issue invites contributions that advance the discourse on next-generation building performance and optimization, exploring how computational intelligence, sustainable strategies, and smart systems can reshape the building lifecycle. By combining theoretical inquiry with applied research, this Special Issue seeks to illuminate how emerging technologies are redefining design workflows and operational performance, effectively bridging pre-construction simulations with post-construction realities.

The aim of this Special Issue is to advance both theoretical and practical knowledge on the ways in which emerging technologies can be embedded into the design and operation of buildings. Submissions may highlight methodological innovations, case studies of energy-efficient and low-carbon strategies, and cross-disciplinary collaborations connecting architecture, engineering, computer science, and environmental studies. By positioning building performance within the wider discourse of sustainability and cyber–physical systems, this Special Issue will provide a platform for envisioning next-generation approaches in which design intelligence and operational feedback converge to foster a more resilient and sustainable built environment. We welcome submissions that investigate, but are not limited to, the following thematic areas:

  • Integration of AI-driven generative designs for massing, orientation, and layout to improve daylighting, ventilation, thermal comfort, and carbon reduction;
  • Predictive modeling and energy simulation in early-stage design;
  • Use of AI and computer vision for occupancy analysis and behavioral insights;
  • Adaptive building automation for HVAC, lighting, and environmental control;
  • Machine learning applications for predictive maintenance and resource efficiency;
  • Digital twins and IoT sensor networks for real-time monitoring, feedback, and optimization;
  • Development of intelligent, data-driven, and responsive building systems;
  • Sustainable strategies at the urban scale;
  • Performance-based design approaches;
  • Building Information Modeling (BIM) for integrated workflows;
  • Building energy modeling for efficiency and carbon reduction.

Prof. Ming Tang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Architecture is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.

Keywords

  • building performance
  • energy simulation
  • digital twins
  • IoT data integration
  • green building
  • smart buildings
  • sustainable design
  • performance-based design
  • post-occupancy evaluation
  • artificial intelligence
  • data-driven prediction
  • generative design
  • computational design
  • parametric modeling
  • machine learning for built environments
  • predictive maintenance
  • real-time monitoring and control
  • human-centered design
  • climate-responsive architecture
  • net-zero energy buildings
  • resilient and adaptive design
  • lifecycle assessment (LCA)

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Further information on MDPI’s Special Issue policies can be found here.

Published Papers

This special issue is now open for submission.

SENSE + AI

ARCH 4001 studio. Fall 2025. DAAP. University of Cincinnati

SENSE: Spatial Experiences for Narrative and Sensory Emotions with AI-Assisted Design

Museum concept by UC student Dwayne CarterEmma CekCourtney Reese. Fall. 2025

Read more

Therapeutic Crisis Intervention Simulation, Phase 3

We are excited to announce the launch of Phase 3 of the VR-Based Employee Safety Training: Therapeutic Crisis Intervention Simulation project, building on the success of the previous two phases. This interdisciplinary collaboration brings together the Immersive Learning Lab and the Employee Safety Learning Lab at Cincinnati Children’s Hospital Medical Center (CCHMC), in partnership with the Extended Reality Lab (XR-Lab) at the University of Cincinnati. 

This phase will focus on developing an advanced virtual hospital environment populated with digital patients to simulate a variety of real-world Therapeutic Crisis Intervention (TCI) scenarios. The digital twins encompass both the hospital setting and patient avatars. The project aims to design immersive training modules, capture user performance data, and conduct a rigorous evaluation of the effectiveness of VR-based training in enhancing employee safety and crisis response capabilities

Principal Investigator: Ming Tang. Funding Amount: $38,422. Project Period: April 1, 2025 – December 1, 2026

CCHMC Collaborators: Dr. Nancy Daraiseh, Dr. Maurizio Macaluso, Dr. Aaron Vaughn.

Research Domains: Virtual Reality, Safety Training, Therapeutic Crisis Intervention, Mental Health, Digital Twins, Digital Humans, Human Behavior Simulation.

We look forward to continuing this impactful work and advancing the role of immersive technologies in healthcare education and safety training

Concept of Digital Twin: Digital Patient + Digital Hospital.

publicaiton
Daraiseh, N. M., Tang, M., Macaluso, M., Aeschbury, M., Bachtel, A., Nikolaenko, M., … Vaughn, A. (2025). Virtual Reality Training to De-escalate Patient Aggressive Behavior: A Pilot Study. International Journal of Human–Computer Interaction, 1–16. https://doi.org/10.1080/10447318.2025.2576635

2025 Faculty Excellence Award

I’m honored to share that I’ve received the 2025 Faculty Excellence Award as part of UC’s Research + Innovation Week, co-sponsored by the Office of Research and the Office of the Provost.

This recognition is truly meaningful to me, as it highlights the value of collaboration, mentorship, and innovation across our academic community. I’m deeply grateful to the colleagues and leadership who nominated me, and to all the students, collaborators, and partners who make this work possible.

Thank you for the continued support—it’s a privilege to be part of such a vibrant and inspiring research environment at UC.

photo source: UC Digital Futures.  Ming Tang with Dr. Keisha Love, Vice Provost for Academic Affairs, and Dr. Patrick Limbach. Vice President for Research.

paper on AI, XR, Metaverse, Digital Twins

 

Metaverse and Digital Twins in the Age of AI and Extended Reality

Tang, Ming, Mikhail Nikolaenko, Ahmad Alrefai, and Aayush Kumar. 2025. “Metaverse and Digital Twins in the Age of AI and Extended Reality” Architecture 5, no. 2: 36. https://doi.org/10.3390/architecture5020036

 

This paper explores the evolving relationship between Digital Twins (DT) and the Metaverse, two foundational yet often conflated digital paradigms in digital architecture. While DTs function as mirrored models of real-world systems—integrating IoT, BIM, and real-time analytics to support decision-making—Metaverses are typically fictional, immersive, multi-user environments shaped by social, cultural, and speculative narratives. Through several research projects, the team investigate the divergence between DTs and Metaverses through the lens of their purpose, data structure, immersion, and interactivity, while highlighting areas of convergence driven by emerging technologies in Artificial Intelligence (AI) and Extended Reality (XR).This study aims to investigate the convergence of DTs and the Metaverse in digital architecture, examining how emerging technologies—such as AI, XR, and Large Language Models (LLMs)—are blurring their traditional boundaries. By analyzing their divergent purposes, data structures, and interactivity modes, as well as hybrid applications (e.g., data-integrated virtual environments and AI-driven collaboration), this study seeks to define the opportunities and challenges of this integration for architectural design, decision-making, and immersive user experiences. Our research spans multiple projects utilizing XR and AI to develop DT and the Metaverse. The team assess the capabilities of AI in DT environments, such as reality capture and smart building management. Concurrently, the team evaluates metaverse platforms for online collaboration and architectural education, focusing on features facilitating multi-user engagement. The paper presents evaluations of various virtual environment development pipelines, comparing traditional BIM+IoT workflows with novel approaches such as Gaussian Splatting and generative AI for content creation. The team further explores the integration of Large Language Models (LLMs) in both domains, such as virtual agents or LLM-powered Non-Player-Controlled Characters (NPC), enabling autonomous interaction and enhancing user engagement within spatial environments. Finally, the paper argues that DTs and Metaverse’s once-distinct boundaries are becoming increasingly porous. Hybrid digital spaces—such as virtual buildings with data-integrated twins and immersive, social metaverses—demonstrate this convergence. As digital environments mature, architects are uniquely positioned to shape these dual-purpose ecosystems, leveraging AI, XR, and spatial computing to fuse data-driven models with immersive and user-centered experiences.
 
Keywords:  metaverse; digital twin; extended reality; AI

The paper is features in the Architecture journal cover page.