231108_GDM_xArch_preprints

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SCIENTIFIC COMMITTEE
Giancarlo Di Marco (XJTLU), chair
Davide Lombardi (XJTLU)
Mia Tedjosaputro (XJTLU)
Asterios Agkathidis (UoL)
Theodoros Dounas (University of Antwerp)
Leyuan Jiang (XJTLU)
Likai Wang (XJTLU)
Claudia Westermann (XJTLU)
Deborah Middleton (XJTLU)
Francesco De Luca (TalTech)
Changying Xiang (HKUST)
ORGANISING COMMITTEE
STUDENT VOLUNTEERS
Mia Tedjosaputro (XJTLU), chair
Giancarlo Di Marco (XJTLU)
Davide Lombardi (XJTLU)
Lei Feng (XJTLU)
Jian Chen (XJTLU)
Liqiong Chen (XJTLU)
Deborah Middleton (XJTLU)
Daniela Pico Perez (XJTLU)
Yu Kong (XJTLU)
Lili Chen (XJTLU)
Yue Zou (XJTLU)
Farkhondeh Vahdati (XJTLU)
Lok Hang CHEUNG (XJTLU)
Jiashi Yu (XJTLU)
Siqin Fang
Ke Yan
Steven Alexander
David Chou
Patricia Tanadi
Rebecca Zheng

KEYNOTE SPEAKERS

KEYNOTE 1 - Arturo Tedeschi

The AI plot twist
AI has been advancing quietly for years in the progressive segment of the ar-
chitecture and design industry. Machine learninglibrarires have been integrated
into software like Revit, Rhino-Grasshopper, and standalone applications, offering
functionalities such as machine learning-based optimization and efficient layout
design. This led to heightened anticipation for the integration of powerful analyt-
ical methods and tools based on ML algorithms into traditional 3D environments.
However, AI had a surprising “plot twist” or an “ unexpected move” with the emer-
gence of text-to-image platforms like Midjourney or Stable Diffusion, based on
deep generataive models (diffusion models). Such a technology - capable of registering
the latent correlation in complex data and somehow closer to the imagina-
tive processes of the human mind - unleashed an unexpected but powerful wave
of creataivity, emphasizing the ideation phase of design. We can metaphorically
state that while we were anticipating the AI to fuel the left side of our brain, it
unexpectedly ignited the right side, the realm of creativity.
After this first revolution a new direction is emerging and is about giving design-
ers a deeper control of tools and relative output. Parametric AI, Sketch to Render,
Sketch to 3D and novel layout optimization tools are the next frontiers of the AI
Aided Design, poised to have an enormous impact on the profession and education
alike. These advancements will eanble designers to wield AI technology as a pow-
erful tool, providing them with enhanced control and facilitating the realization
of their creative vision.

KEYNOTE 2 - Florian Rochereau

Creativity in Design
Creativity in design, especially in this new AI era, is a central topic which is driving
the future of Architecture and Engineering.
Capabilities of Computational Design Tools have expanded exponentially in the
last few years and enable us to compute almost anything. Architects, Designers,
Engineers are not constrained anymore about project scale, computer resources
or design complexity.
Horizon and potential offered by computational design and AI tools seem to have
no border and enable us to explore spaces that were not accessible only few
years ago.
However, we still often see designs constrained by tools themselves, not by their
capacity, but by the way we are using them.
How to ensure not to get “Lost in Parameter Space” and not lose control of the
design? Who is driving the design?
How to keep control of the tools to produce desired results and outcomes?
Those are reflections that are driving our design processes and development of
tools on our daily practice.

KEYNOTE 3 - Charles Liu

AI in Architecture
The marriage of artificial intelligence (AI) and architecture is a topic that has
garnered significant attention in recent years, promising to reshape the way we
design, construct, and inhabit our built environments.
In summary, AI is increasingly becoming a valuable tool in architecture, assisting
architects and designers with classification, evaluation, reconstruction, and generation
tasks. These capabilities empower architects to create more sustainable,
functional, and aesthetically pleasing buildings.
One of the most prominent promises of AI in architecture is its ability to optimize
design processes. AI algorithms can generate design variations, taking into
account various parameters such as site conditions, environmental factors, and
user preferences. This rule based optimization can lead to more efficient and sustainable
designs.
Another aspect to consider is the role of AI in predicting and mitigating environmental
impacts. AI can analyze vast amounts of data to model how a building will
perform in different climatic conditions. This capability is invaluable in designing
structures that are environmentally responsible.
In conclusion, AI's integration into architecture offers undeniable potential for
innovation, efficiency, and sustainability. However, it also presents profound challenges
related to aesthetics, ethics, and the role of human architects. A critical
reflection on these matters is essential to ensure that the introduction of AI in architecture
serves the broader goals of enhancing human well-being and the built
environment, rather than reducing architecture to a set of automated processes
devoid of creativity, cultural richness, and ethical responsibility. Balancing the
promise of AI with these concerns is the key to harnessing its full potential while
preserving the essence of architecture as a deeply human endeavor.

KEYNOTE 4 - Neil Leach

Alien Intelligence: AI and Creativity
Artificial Intelligence is everywhere - from the apps on our phone to the algorithms
of search engines. Without us noticing, the AI revolution has arrived. But
what does it mean for the world of design?
The work examines the question of creativity. Generative AI has proved to be a
game changer in many fields, not least architecture. Chatbots, such as ChatGPT,
are changing the way that we write, and diffusion models, such as MidJourney,
are changing the way that we design. Clearly these tools can augment our human
capabilities. But are they actually creative in and of themselves?
This work argues that they are performing a straightforward mechanical task
involving vast amounts of data highly effectively, but that this does not necessarily
make them creative. It then goes on to question the notion of creativity
itself, and to challenge received views on the topic. It argues that if a machine can
generate outcomes that can be construed as being ‘creative’, then perhaps what
we call ‘creativity’ is more straightforward than we have thought to date. Indeed,
it argues that the mystique that surrounds ‘creativity’ might be obscuring the
fact that what we call ‘creativity’ is actually a mechanical ‘search and synthesize’
process, much like Generative AI itself.
The work concludes that AI can serve as a useful mirror in which to understand
human behaviour, and that AI can potentially help us debunk the myth of human
creativity.

PROGRAM

NOVEMBER 11, 2023
COMPUTATIONAL DESIGN SESSION I

NOVEMBER 11, 2023
COMPUTATIONAL DESIGN SESSION II

NOVEMBER 11, 2023
DIGITAL EXPERIENCE SESSION I

NOVEMBER 11, 2023
DIGITAL EXPERIENCE SESSION II

NOVEMBER 12, 2023
AI AND ENVIRONMENTAL SESSION I

NOVEMBER 12, 2023
AI AND ENVIRONMENTAL SESSION II

ABSTRACTS
(IN NUMERIC ORDER)

[3] Computing Analogue Interactive Installations
Michail Georgiou 1 , Odysseas Georgiou 2 and Eva Korae 3
1
ARC University of Nicosia, 31 Michael Giorgalla Str., Nicosia Cyprus
2
SEAMLEXITY LLC, Ifigeneias 10A-12, Limassol, Cyprus
3
Cyprus University of Technology, 30 Arch. Kyprianos Str. 3036, Limassol Cyprus
This paper documents the development and application of a set of computational
tools and fabrication methods to support and facilitate the design, simulation and
realization of 3D Moiré Animation installations. Setting-out from the technique of
traditional 2D Moiré Animations, the authors developed tools to examine a novel
approach which combines the depth of field and motion of the spectator to
achieve large-scale, analogue animations in three dimensions. Furthermore, the
authors suggest that large scale outcomes can enhance the way people interact
with outdoor spaces. For that hypothesis the particular paper illustrates the application
of the tools for the realization of two large-scale interactive analogue
motion graphic installations; a memorial and a temporary centrepiece for a dance
festival in Cyprus. The tools operate as a free plugin for Grasshopper 3D and can
be downloaded.
Keywords: 3D Moiré Animation, 2D Moiré Animation, Computational Design, Digital
Fabrication.

[7] Cellular Automata as Design Tools for Artificial Ecologies
Yiming Liu 1 and Christiane M. Herr 1
1
Southern University of Science and Technology, Shenzhen 518000, China
The built environment functions as a facilitator of a healthy relationship between
humans and the natural environment. The ability of cellular automata (CA) to
model naturally occurring phenomena that express in spatio-temporal patterns
offers opportunities to both simulate and generate complex spatial arrangements
based on local morphological rules. This local relationship-driven property resonates
with the local generative dynamics found in natural systems. To address the
intricacies associated with cellular automata rule definitions within the context
of ecological urban form, we construct a “multi-layered” CA as a theoretical model
for exploring ecological performance-oriented architectural form design. The resulting
model accommodates both conventional top-down design strategies and
the locally driven relational networks of ecological considerations. An analysis of
two case studies not only examines the possibilities of both simulating and generating
ecologically oriented, integrated architectural and urban form using CAbased
strategies at different stages of the design process, and offers designers a
new way to model and evaluate ecologically sensitive constructed environments.
Keywords: Cellular Automata, Cellular Automata Rules, Ecological Design, Algorithmic
Design.

[8] Data-Responsive Architecture in Urban Open Space: Sensing
Social and Environmental Data and Regulating Spatial Configuration
in Real-Time
Hyunjae Nam 1
1
Architectural Association, London WC1B 3ES, United Kingdom
The design experiment aimed to examine the application of data-processing techniques
to regulate a responsive architectural space. The experiment involved
simulating an active system of adaptive space that comprised kinetic structures
capable of responding to real-time changes in social events and environmental
conditions situated in an open space in New York City. The study tested the application
of rule-based algorithms that utilise predefined rules to determine the
behaviours of kinetic structures by manipulating data. The rule-based algorithm
processed the input of urban open data that captured the phenomenon in the
open space, resulting in controlling the spatial configurations of kinetic structures.
This involved the act of categorisation, classifying the location, schedule,
and type of social event data, as well as calculating numeric values of weather parameters
such as temperature, cloud cover, humidity, and wind speed to optimise
spatial qualities with respect to light/shading, weather conditions, and access.
The challenge of the experiment was to create an algorithm that was not only
reactive to the input data in real time but also intelligently responsive, providing
optimised conditions of an architectural space that adapts to the contexts of both
social and environmental changes. The results of the experiment demonstrate the
potential for the development of computational techniques to create intelligently
responsive spaces in the built environment.
Keywords: Responsive Architecture, Real-Time Optimisation, Rule-Based Algorithm,
Data Manipulation, Context-Aware System.

[10] A Language Prompt Model for Architectural Aesthetics
Graham McKay 1
1
Wenzhou-Kean University, 88 Daxue Road, Wenzhou, Zhejiang, China
Our main concern with AI and architecture is that AI will ultimately mimic what
we call creativity even though it remains a black box of the type Banham described.
[1] We claim to recognize it when we see it but can’t agree what it is, how
it works, how to foster it, or how to teach it. If we believe creativity is the generation
of novel shapes, then it won’t make any difference if it’s performed wholly or
in part by computation, intern farm or some other means of generating quasi-random
permutations. Meanings will still need to be assigned to those shapes and it’s
the black box that does that. Any design process produces better results when the
instructions are clear. Quickly searching a large image dataset is a computational
problem but organizing it and instructing AI to retrieve and synthesize relevant
information is an aesthetic one. The author reverse-engineers Charles Jencks’
model of an iconic building into one that also describes (and hence classifies) other
aesthetic effects. The names of these effects become language prompts linking
the aesthetic problem to the computational one, allowing large image datasets
to be consistently indexed and searched, enabling more relevant training, and
reducing the need for meanings to be externally assigned.
Keywords: aesthetics, language, model

[16] Deployable Origami Wall with Patterned Knit Panels
Virginia Melnyk 1,2
1
Tongji University, Shanghai, CN
2
Virginia Polytechnical University, Blacksburg, VA, USA
This paper explores the process of creating a unique triangulated origami folding
wall, highlighting its relevance to design as research and research through
design. By integrating hand-making techniques with digital methodologies, the
project challenges traditional design methods in architecture.The design process
involved a process of hand to digital and digital-to-hand for the different elements
of the project. Using Rhino3D and Grasshopper to simulate various pattern
designs, which were then ultimately fabricated by hand. Meanwhile, paper origami
hand models inspired the overall frame structure, which was later modeled,
in Rhino3D and Grasshopper to simulate the folding process. While designs were
simulated both digitally, the use of digital tools is used during different phases
of the design, emphasizing the potential of parametric thinking alongside manual
creation.Hand-making techniques, including domestic knitting machines and
hand-manipulated stitches, were used to craft detailed and customized panels.
Varying pattern densities created a dynamic interplay of light and shadow. The
design for the pattern is based on a binary pattern of stitches and floats, harkening
back to early coding and jacquard looms and punch cards. These knitted
panels are attached to the folding frame design to create a wall system that is
spatially dividing but also plays with porosity. The design allows some light and
shadow play as well as varying density and depth between the layers. The project
demonstrates the potential of blending computational design with manual development
in architectural design. While working through this research on the relationships
between physical and digital production as a means for design artifacts.
Keywords: Digital Design, Physical Craft, Textiles, Knitting, Parametric Design,
Lightweight Structures.

[20] Exploring an evolving architectural pedagogy in the age
of digital creativity and artificial intelligence: Examininig the
challenges to critical thinking
John Latto 1
1
Xi’an Jiaotong-Liverpool University
The advent of digital creativity and artificial intelligence (AI) is rapidly changing
the way we think, design and construct architecture. This transformative methodology,
must also inevitably lead to a continued evolution in architectural pedagogy.
Whilst these new technologies, computational tools and data-driven processes
suggest new possibilities for creativity and innovation, there is an inherent perception
they may also pose a threat to the development of the traditional design
skills within architectural education. This paper seeks to explore the impacts of
new ways of design and the importance of retaining creative critical thinking
processes in design education.
Keywords: Architectural pedagogy, design thinking, design methodology, digital
tools

[22] Employing AI-based Tools to Support Exhibition Design: A
Science and Technology Museum Case Study
Lulu Pei 1 , Chenxiao Li 2 , Jun Xiao 3 , Yu Zhang 3 and Christiane M. Herr 1
1
School of Design, Southern University of Science and Technology. 518055, China
2
Faculty of Architecture, the University of Hong Kong, 999077, Hong Kong SAR
3
Star Group. 101199, China
This paper investigates the potential role of AI (Artificial Intelligence) technology
in the design of future-oriented interdisciplinary exhibitions for science and
technology museums. With AI leading technological advancements in the field,
this paper explores how AI can not only be the subject of exhibitions but also
support the design of exhibits. Drawing on applied design experience from an
ongoing science museum project in China, central questions for designers and researchers
working with AI-based techniques is whether and how such tools can
support original design outcomes: Are ideas developed by designers before using
AI tools or in the process of AI generation? Can skilled use of AI allow designers
to set aside more time for creative ideas, thus enhancing their productivity? We
describe in detail the process of exhibition design from the perspective of the
exhibit designer, and focus on the dynamics of AI-supported design processes,
where schemes are quickly iterated until suitable results are produced for final
selection. Finally, we discuss how we have employed the potentials and addressed
challenges introduced by creative AI use in our work.
Keywords: AI tools, creativity, exhibition design, science and technology museums.

[25] Digital hybridities: Theorising the ‘social’ and the ‘local’ of
fabrication technologies in craft practice
Matthew Holmes 1 Alejandro Veliz Reyes 1
1
University of Plymouth, Plymouth PL4 8AA, United Kingdom
The digital design research community keeps moving towards increasingly techno-centric
spaces. Largely development-focused, the evolution of technology
adoption in our sector is often reported from performance and efficiency perspectives,
instead of its efficacy – its implementation and adoption in real-world design
practices and cultures. In that context, this paper presents a theory framework
to investigate the adoption of digital fabrication technology among craft practitioners
- emphasising the challenges among craftsperson’s activities protected
by both heritage and cultural traditions developed outside authored and institutionalised
contexts of digital design research. Through the coupling of theoretical
strands originated in management studies (socio-materiality), media obsolescence,
heritage, and crafts theory, our approach is demonstrated through the infusion
of digital fabrication tools into the analogue world of letterpress printmaking.
Through methods such as community engagement, codesign and prototyping,
and graphic outputs, we reflect on issues emanating from uniting a technology
that has already faced industrial obsolescence with newly developed digital tools,
including the influence of heritage and cultural traditions, tensions around irreplaceability,
the need for preservation, spatial and community manifestations, and
knowledge transfer and translation across seemingly diverging ways of engaging
with technology. The resulting approach challenges the standard hegemonic analogue/digital
dichotomy and allows for the interrogation of a more ‘complexified’,
nuanced field of hybrid practices encouraging a balance between preservation,
tradition, and experimentation.
Keywords: Socio-materiality, Digital Fabrication, Digital Craft, Letterpress.

[27] Critical Social Computing for Digital Design
Muhammad Talha Muftee 1,2
1
Ghent University, Ghent 9000, Belgium
2
COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan
Advancements in computational technology have ushered in a new era of architectural
design, characterized by the integration of digital tools. However, this
rapid pace of technological innovation has also widened the digital divide, making
advanced design solutions less accessible, particularly in underprivileged regions
and marginalized communities. Meanwhile, data and algorithmic processes
profoundly impact the post-digital built environment. With increasingly complex
problems of the built environment, such communities are at risk unless this gap
is addressed. This paper underscores the significance of regional computing systems,
referred to as social computers, and their emergence in addressing these
disparities. To allow architects and experts to act as facilitators of resilience and
transformation, critical social computing for design is proposed as a strategy to
develop meaningful collaborative practices through digital tools.
Keywords: Digital Design, Social Computing, Participatory Design

[28] Explorations of Conceptual Design Generation based on
the Deep Learning Model - Discussing the Application of AI
Generator to the Preliminary Architectural Design process
Yuxin Bao1 1 and Changying Xiang 1
1
The Hong Kong University of Science and Technology, Hong Kong
The rapid advancement and heightened awareness of Artificial Intelligence (AI)
have stimulated a substantial surge in the growth of deep learning models. This
has led to an increasingly prevalent debate surrounding the possibility of AI
replacing human architects. Nevertheless, it is foreseeable that architects will
explore an AI-aided design process at this stage. Several deep learning models,
including NovelAi, DELL-E·2, Midjourney, and Stable Diffusion, have emerged,
making it easier to generate images efficiently without the need for multidisciplinary
knowledge related to algorithms and programming.During the conceptual
design phase of an architectural project, it is crucial for architects to present
several massing proposals in various styles within a limited timeframe. It means
a huge amount of modelling and drawing works. This paper focuses on Stable
Diffusion, Midjourney, and DALL-E 2, as primary examples to discuss the approaches
used in the preliminary design process as a smart assistant. These AI
platforms are expected to optimize the conceptual design work by reducing the
time of transforming hand-drawn sketches into rendering photos and enhancing
the visualization of massing diagrams. This article analyzes the impact of AI
work-related activities carried out by architects and architectural students based
on a designed survey containing various images generated by AI programs. The
survey aims to investigate the performance of several popular AI programs and
architects' perspectives towards AI. The findings indicate that AI has the potential
to assist human architects to some extent with satisfactory performance. The effective
application of AI generators can significantly optimize the design process,
allowing architects to explore more creative and aesthetic aspects.
Keywords: Machine learning, AI-aided, Architecture, Efficiency, work flow.

[30] Augmented LEGO® An experiment utilising augmented
reality (AR) for algorithm-oriented generatiave design and
conceptual model assembly guidance
Yang Song 1 and Wei Zhao 2
1
School of Architecture, University of Liverpool, UK
2
School of Architecture, Zhengzhou University, China
Henan International Joint Laboratory of Eco-community and Innovative Technology, Zhengzhou,
China
Using discrete elements, LEGO® bricks, as the design unit, this paper presents
experimental research utilising augmented reality (AR) technology for algorithm-oriented
generative design and conceptual model assembly guidance. The
research aims to develop a unique pipeline and workflow that allows users to
modify, set constraints, preview, generate discrete architectural design outcomes
immersively, and assemble the physical conceptual model manually through AR
guidance for the initial architectural design draft stages. A sample workflow has
been tested as a series of generated conceptual complex discrete structures in
the Augmented LEGO® workshop. We transformed the current design method to
an algorithm-oriented way with discrete element generate design plug-in Wasp,
and enriched the current generative design, scheme preview, and the handicraft
model-making methods holographicly with AR immersion plug-in Fologram. As
for the physical outcomes, all participants designed and assembled generated discrete
LEGO® structures successfully with the assistance of AR. To conclude, this
paper describes the workshop research questions, methods and process in detail,
reflects and summarises the findings and limitations of the Augmented LEGO®
experiment at the end.
Keywords: Augmented Reality (AR), algorithm-oriented generative design, discrete
element, assembly guidance, conceptual model.

[33] The Taste of Textures Artificial Intelligence Driven Gastronomic
Design and Crossmodal Correspondences in Living
Art
José Antonio Carrillo Andrada 1 , José de la Rosa Morón 2 and José Luis Oliver
Ramírez 3
1
American University in Dubai, 28282 Dubai, UAE
2
Fermented Freelance®, 21500 Huelva, Spain
3
University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain
This research delves into the application of artificial intelligence (AI) in bio-art
and gastronomy. It comprises a chapter within a broader interdisci-plinary
project that aims to create a dynamic, interactive, and multisensory artwork that
seamlessly integrates biology, art, computational design, and gastronomy. The
project investigates the interaction of microorganisms with various substrates
and eco-friendly materials, the role of AI-assisted computational design, and the
potential of flavour engineering to enhance the artistic experience. This paper
explicitly examines the use of AI-assisted conceptualisation and computational
design in generating unique flavour-related textures. Relying on gastrophysics
studies, this research in-corporates flavours' objective and subjective properties
into the design process. The findings underscore the effectiveness of interdisciplinary
col-laboration in producing artistic research and fostering innovation.
Future research phases will focus on 3D modelling using parametric design and
3D printing the textures on Petri dishes, conducting experiments with microbi-al
populations to form complex patterns and textures based on the initial AI-generated
designs, contributing to the evolving nature of the artwork. Furthermore,
the study will explore the audience's engagement in interac-tive experiences.
This study adds to the body of work on AI-driven design for practical and theoretical
applications in developing innovative bio-art and gastronomic experiences.
Keywords: Artificial intelligence, texture-taste correspondences, computational
design, gastrophysics, bio-art

[42] SAUCE- SpAcevehicle-bUilding Connectivity Evaluation
An Adjacent Matrix based digital tool for internal connectivity
evaluation and improvement in Spacevehehicle-Buildings
Zhelun Zhu 1
1
Xi’an Jiaotong-Liverpool University
Spacevehicle-building represents a peculiar design problem with many stringent
requirements, including unusual surrounding conditions and severe cargo limitations.
The latter is caused by the launch system capabilities and impacts on the internal
room’s dimensional and mass characteristics. Therefore, one of the Spaceship’s
design challenges consists of its internal room organisation considering the
needs under holistic perspectives. In particular, it is crucial “how” internal rooms
are related since their optimal use depends on well-defined connections. SAUCE
proposes an automatised tool that evaluates internal connections’ performance
in Spacevehicle-Buildings by digitalising the Adjacency Matrix. This method is
used in architectural design to represent the relationship between rooms while
its digitalisation will bring the readability and execution by a machine. The proposed
tool provides a computable and objective assessment of “how” the internal
functions are related to each other, describing a Spacevehicle-Building internal
organisation from spatial layout perspective. Implementation of this workflow
include feeding the scoring system to a metaheuristic algorithm-based generative
process to investigate optimal combinations between the functions, providing
support to the design process.
Keywords: Space Architecture, Generative Design, Digital Design, Adjacent Matrix,
Spatial Layout Design.

[44] Optimization and Design of Building-Integrated Photovoltaic
Systems for a High-Rise Building in Shenzhen
Yuqi Zhang 1 , Christiane M. Herr 1 and Yongcong Guo 2
1
School of Design, Southern University of Science and Technology. 518055, China
2
Shenzhen Institute of Building Research Co., Ltd. (IBR) 518049, China
Cities with large populations and limited space, such as Shenzhen, China, require
innovative approaches to distributed photovoltaic (PV) power generation on building
surfaces to meet renewable energy production goals. Despite the city's subtropical
climate and abundant solar energy resources, along with numerous buildings
with potential for PV power generation, architects remain cautious about
adopting extensive PV panels on the facades of high-rise buildings. This paper
addresses this challenge by integrating engineering and design considerations
to facilitate future sustainable design transitions. To achieve optimized Building-integrated
Photovoltaics (BIPV) in Shenzhen, a case study building is utilized
to identify the most suitable PV materials with optimized power generation efficiency,
considering solar energy availability and geographical location. The Grasshopper
platform, a graphical algorithm editor integrated with the Rhinoceros 3D
modeling software package, and PVSyst are employed to determine the angle of
solar panels and the physical arrangement of PV modules through building shape
modeling and optimization techniques. Four different angles (18°, 45°, 60°, and
90°) of PV module layouts are designed, and simulation results demonstrate their
impact on electricity generation efficiency. Notably, a vertical arrangement (90°)
of photovoltaic components on the building facade significantly reduces electricity
generation efficiency. The proposed simulation method optimizes building PV
systems while considering power generation efficiency and supports the future
design of energy-efficient residential and office buildings in Shenzhen, supporting
long-term reductions in carbon emissions.
Keywords: building-integrated photovoltaics (BIPV), Ladybug, PVSyst, low carbon
design, energy generation

[45] Design of the Intelligent Bridge Drainage Monitoring and
Control System
Danni Zheng 1 , Yiheng Feng 1 and Li Li 1
1 Southeast University, Nanjing 210096, China
When a bridge spans over water, traffic accidents or hazardous chemical spills
may result in pollutants entering the waterway through the runoff on the bridge
surface, causing water pollution. This study aims to address the shortcomings
of existing bridge drainage systems, such as environmental unfriendliness, low
efficiency, and difficult maintenance, and to achieve intelligent and informational
control of bridge drainage valves. To achieve this, we developed a bridge drainage
intelligent control system based on the existing drainage system of the bridge, using
Internet of Things(IoT) technology, machine learning technology and information
visualization technology. The system consists hardware modules for detecting
bridge surface conditions, long-distance wireless communication modules,
intelligent drainage valves, and a server monitoring terminal. When a special situation
occurs on the bridge surface, the server monitoring terminal will present
real-time information on the bridge and send timely instructions to control the
intelligent drainage valves to prevent pollutants from being discharged into the
water. This study explores a safe, efficient, and environmentally friendly bridge
drainage mode, contributing to the construction of a digital-era urban bridge information
management system.
Keywords: Emergency drainage of bridges, Bridge drainage control, IoT technology,
Machine learning, Data visualization.

[47] Digital Creativity in urban interventions: using technology
as an engagement and idea inducing tool
Daria Belkouri 1 and Theodoros Douna 2
1
Robert Gordon University, Aberdeen AB10 7QB, Scotland
2
University of Antwerp, Prinstraat 13, Antwerpen 2000, Belgium
The urban planning discipline is increasingly turning to specialized technologies
to better understand the multiple and complex processes within cities. Automation
is already reshaping infrastructure and urban ecosystems. This study seeks
to reconciliate technological agency and creative research methods by utilising
laser scanning technology to increase community participation in planning and
speculate about urban possibilities of using walking and pedestrian viewpoints
as drivers for urban design. This research employs hybrid methods, on the one
hand the simple act of walking and on the other hand visualising the urban space
using a 3D laser scanner. This mixed technique makes it possible to increase the
perception of individuals with respect to urban space, becoming more aware of
it and coming into greater contact with it generating ideas about spaces encountered
on the route.
Keywords: Laser Scanning, Urban Walking, Participation, Urban Design

[49] Architectural Design under Pandemic of Today’s AI:From
Human-computer Interaction (HCI) to Human-machine Conversation
(HMC)
Lok Hang Cheung 1 , Juan Carlos Dall’Asta 1 , Giancarlo Di Marco 1 and Asterios Agkathidis
2
1
Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
2
University of Liverpool, Liverpool. United Kingdom
Human-computer interaction (HCI) has been explored in the architecture discipline
since the 1960s. It stated that humans and architecture (as machines) are
both designers. However, with the rapid growth of AI in recent years, misusing AI
has resulted in social problems, as named the “pandemics of today’s AI” by Paul
Pangaro. This paper aims to find insights into the causes and potential ways of
taming the situation, followed by proposing a paradigm for developing HCI-based
architecture in the future. Key HCI-based projects and recent developments will
be analysed through major academia and research bodies. This research identifies
three findings, including blurred definitions of interactivity, loss of physicality and
lack of real-world application. Hence, we propose focusing on Human-Machine
Conversation (HMC) as a more directed approach to developing HCI in architecture.
This focus emphasises the “machine” as a focus on the physical built environment
and “conversation” as the most critical interaction for future architecture.
Keywords: Human-computer Interaction, Artificial Intelligence, Architectural Design,
Human-machine Conversation

[50] UAV-based geometry data acquisition for building energy
modelling
Mengfan Jin 1 and Marco Cimillo 1
1
Xi’an Jiaotong-Liverpool University
Building Energy Modelling (BEM) is a critical tool for various building energy-related
applications, such as energy efficiency diagnosis, certification, and retrofit
design. Accurate building geometric, non-geometric, and weather data are crucial
for effective BEM. Conventional onsite measurement methods can be laborious
and time-consuming. Furthermore, after the onsite work, creating the
energy simulation model has disproportionately outweighed the attention given
to high-value engineering and energy analysis within the retrofit workflow. Unmanned
Aerial Vehicles (UAVs) enable swift data collection, bypassing lengthy
manual processes and offering potential solutions. This study used aerial imagery
captured by a UAV to create a geometry model of a residential building in Suzhou,
China, aiding energy assessment. Specialised software can convert photos into
a detailed 3D model while lacking semantic information limits its utility beyond
visualisation. Therefore, post-processing was conducted to generate a complete
geometric model. The outcomes were compared to conventional measurement
methods against accuracy and processing time. The study demonstrates that the
application of UAV-based photogrammetry can semi-automatically reconstruct
the building envelope with high precision, providing valuable geometry input for
building energy assessment.
Keywords: UAV, Building energy modelling, Data acquisition

[56] An Assessment of Thermal Comfort in Urban Quality of
Life in Architecture using Fuzzy Logic in Decision Makinig: A
Case Study of Iran
Alireza Gogani 1 , Faezeh Choobkar 2 and Asli Cekmis 1
1
Department of Informatics, Faculty of Architecture, Istanbul Technical University, Maslak, Istanbul,
Turkey
2
Faculty of Architecture and Environmental Design, Iran University of Science and Tech-nology,
Resalat, Tehran, Iran
Thermal comfort is a notion that has been discussed recently in various studies,
in particular architecture and urban planning as a response to many problems
facing new cities all over the world and it is one of the factors that plays a very
important role in the quality of life in architectural and urban design process.
Evaluating thermal comfort based on climatic conditions assist architects and designers
in choosing suitable regions to shape cities and buildings. In this context,
Iran as a country with different climatic con-ditions is proposed to be analyzed
and visualized as a case study. Fuzzy logic approach is used in this study as the
methodology in conjunction with its inputs that are defined as air temperature,
air quality, and humidity which are known as indispensable principles in architectural
and urban de-sign, and the output is determined as thermal comfort in
each province, ranges between 0 to 1 (from not preferable to the most preferable
provinces). This paper aims to throw light on the importance of fuzzy logic approach
in architecture and urban planning and the process of analyzing thermal
com-fort of each region for users by means of MATLAB (a fuzzy logic-based software).
For this, after an introduction and overview on fuzzy logic meth-od and its
application in this study, the results of analysis obtained are col-lected in tables
and visualized as figures.
Keywords: Climatic Analysis, Fuzzy Logic, Thermal Comfort, Decision Making

[57] Structuring Gamified participatory Public Space Design
Developing a Design Quality Evaluation System to Support
Digital Co-Creation Processes
Shutong ZHU 1 , Provides NG 1 and Jeroen VAN AMEIJDE 1
1
The Chinese University of Hong Kong, Hong Kong, China
Participation and co-creation are increasingly used to incorporate end-users’
demands and mitigate conflicts of interest. Digitalised games are introduced to
better visualise design scenarios and invite multiplayer collaboration. A recurring
problem is how much input and guidance are needed to achieve creative and
feasible outcomes. This paper explores how guided forms of gameplay can lead to
more informed negotiation and better game outcomes. The study focuses on public
space design in a high-density housing estate, where widely varied resident
demands put pressure on limited space. The methodology employed in this study
involved the development of a design quality evaluation system to support participatory
processes. To recruit study participants, design students were selected
from the same course and randomly assigned into teams. These participants were
then engaged in co-creation using a digital sandbox game that was designed to
facilitate the process. Participants’ co-creation outcomes were analysed through
a combination of qualitative and quantitative methods. The original contribution
of this study lies in the development of a user-activity-based toolkit for spatial
configuration analysis. Preliminary results demonstrate how structuring collective
design explorations around principles of activity complexity, sociability, environment
comfort, adaptability, surveillance, and wayfinding can offer a more
objective basis for collaboration. The implications of this approach can activate
collective creativity in the age of digital production and contribute to the creation
of more inclusive and user-centric public spaces.
Keywords: Digital Commons, Gamified Co-design, Quality of Public Space, Spatial
Design Guideline, User-Activity Toolkit

[59] Virtual Reality and EEG in Creative Research: Investigating
the impact of designed environments on creative performance.
Fatemeh Taherysayah 1,2 and Claudia Westermann 1
1
Xi’an Jiaotong-Liverpool University, Suzhou 215400, China
2
University of Liverpool, Liverpool L69 7ZN, UK
Creativity is a distinctive feature of human nature that involves various cognitive
processes and drives innovation, progress, and personal growth. Recent research
in cognitive neuroscience challenges the traditional belief that creativity is a fixed
trait. Through investigations of the temporal neural correlations of a person’s creative
action, neuroscientists have revealed that creativity is dynamic and based
on both explicit and implicit processing to generate and evaluate ideas. In other
words, there are distinct steps that lead to a creative action or proposal, such as
the analysis of a task, the generation of ideas and their verification, which require
different modes of thinking. These different modes of thinking, which correspond
to different patterns of brain waves, can be further categorised into divergent,
convergent, abstract, and concrete thinking. This paper presents an overview of
an ongoing research project that aims to investigate the effect of designed environments
on the different stages of a human’s creativity. Tracking the creative
performance of individuals in the VR space by using both electroencephalography
(EEG) and questionnaires allowed us to gain insights about the ability of spaces
with high aesthetic quality to foster creativity. The experimental set-up permitted
us also to draw conclusions about the suitability of neuroscience tools in architectural
design contexts. This paper provides an overview of the theoretical basis,
and a critical review of the employed tools and methods, with a focus on the use
of VR technology and EEG in evaluating creativity. Furthermore, the paper outlines
potential applications of VR, specifically through VR drawing, in empirical
studies of creativity.
Keywords: Creativity, designed environments, Virtual reality (VR), VR drawing,
Electroencephalography (EEG)

[65] Analysis of Differences in Street Visual Walkability Between
Human and Machine Perception: A Case Study of an
Anonymous University Campus
Yuchen Xie 1,2 , Yunqin Li 1,2 , Lingshan Huang 1 and Jiaxin Zhang 1,2
1
Architecture and design college, Nanchang University, No. 999, Xuefu Avenue, Honggu-tan New
District, Nanchang 330031, China
2
Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering,
Osaka University, Osaka 5620031, Japan
Recent studies of street visual perception have shown that street visual walk perception
can be predicted using deep learning models, but machine-human perceptual
differences limit the direct application of deep learning models to decision
aids. In previous research, we developed a visual walk perception classification
deep multitask learning (VWPCL) model for measuring visual walk perception
(VWP). Also, the activation maps generated by the interpretable machine learning
method Grad-CAM (Gradient-weighted Class Activation Mapping) were used to
generate visual interpretations for the prediction results of the VWPCL model.
However, its visualised machine perception results are not validated with real
human visual perception data, and therefore designers have difficulty trusting the
model's perceptual prediction results. Based on this issue, this study conducted an
experiment based on a desktop eye-tracker on a university campus to analyse the
differences between human and deep learning models in street visual perception.
The results of the study show that there are some differences between humans
and deep learning models in street vision walkability perception. In future work,
more quantitative analysis methods based on image comparisons and other sensory
data will be incorporated for further in-depth research.
Keywords: Visual walkability perception (VWP), Eye tracking, Deep learning, Gradient-weighted
Class Activation Mapping

[68] Space Narrative: Generating Images and 3D Scenes of
Chinese Garden from Text using Deep Learning
Jiaxi Shi 1 and Hao Hua 1
1
School of Architecture, Southeast University, Nanjing, China
The consistent mapping from poems to paintings is essential for the research and
restoration of traditional Chinese gardens. But the lack of firsthand material is
a great challenge to the reconstruction work. In this paper, we propose a method
to generate garden paintings based on text descriptions using deep learning
method. Our image-text pair dataset consists of more than one thousand Ming
Dynasty Garden paintings and their inscriptions and postscripts. A latent text-toimage
diffusion model learns the mapping from descriptive texts to garden paintings
of the Ming Dynasty, and then the text description of Jichang Garden guides
the model to generate new garden paintings. The cosine similarity between the
guide text and the generated image is the evaluation criterion for the generated
images. Our dataset is used to fine-tune the pre-trained diffusion model using
Low-Rank Adaptation of Large Language Models (LoRA). We also transformed
the generated images into a panorama and created a free-roam scene in Unity
3D. Our post-trained model is capable of generating garden images in the style of
Ming Dynasty landscape paintings based on textual descriptions. The generated
images are compatible with three-dimensional presentation in Unity 3D.
Keywords: Traditional Chinese Garden, Landscape Painting, Deep learning, Diffusion
Model Virtual Reality.

[72] Meta-morphing architectural domains: The Role of Humans
and AI in Post-Human Architecture
Asif Hasan Zeshan 1 and Susannah Dickinson 1
1
School of Architecture, CAPLA, University of Arizona, Tucson AZ, USA
Throughout history, the practice of architecture has been centered on fulfilling
human needs and aspirations. The emergence of post-humanism challenges these
conventional boundaries and foci, expanding design thinking by recognizing humans
as one element amongst a multiplicity in the design environment, offering
opportunities, relationships, and inclusion for others, including emerging technologies
like artificial intelligence (AI). This paper explores the transformative potential
of AI in architecture within the context of post-humanism. This research
aimed to determine the roles of human and artificial intelligence in the architectural
design paradigm, particularly within a context of coexisting parallel intelligences.
Our focus has been on spatial floor layout generation within a fixed design
scope.
Keywords: Artificial Intelligence, Posthumanism, Architectural Design.

[74] An AI-mediated VR sound installation
Giovanni Santini 1 and Zhonghao Chen 1
1
Xi’an Jiaotong-Liverpool University, Suzhou, China
Artificial Intelligence (AI) and Extended Realities (XR) have the potential to create
new worlds, new narrative spaces. From our standpoint, to be be-lievable, those
worlds need not only to convince our senses, but also our experience reality: a
complex, non-linear net of relationships among ob-jects, beings, actions and concepts.
In other words, we wanted to create a narrative space rich and complex, in
terms of content and behaviour. At times, non-linear and unpredictable.
In Oracle, we explored some boundaries of this idea. Oracle is an installa-tion
based on a variable chain of spatialized sound processing algorithms directly
controlled by a multilayer perceptron neural network (the “oracle”). The sound
input of the system is the voice of any participant who wants to play as a “visitor”
(the one who poses a question to the oracle). The output will be a processed version
of that input, a slight modification, a complete-ly different sound texture or
anything in between these extremes. By wear-ing a VR headset, the visitor can
interact with the oracle and influence the output of the neural network, therefore
the sound output. However, it is not possible for any of the users to exactly predict
the outcome of such interac-tion. The oracle’s answer is then a net of sound
relationships the user needs to decipher, not to get the answer, but to better understand
the question.
Keywords: Virtual Reality, Arts technology, Sound processing, Machine Learning,
Multimedia art

[77] Challenges and opportunities in using digital pedagogy for
game-based architecture education: a case in China
Silvia Albano 1 , Wan Meng 1 , Wenruo Xu 1 and Na Li 1
1
Xi’an Jiaotong-Liverpool University
Digital pedagogy (DP) has received increasing attention from different disciplines
to study the dedicated use of contemporary digital technologies (e.g., virtual
learning environments and digital media platforms) for inclusive and personalized
learning and teaching. Applying DP appropriately can help teachers to shift
from traditional instruction methods towards more interactive and engaging approaches
for high-quality education. Under the umbrella of DP, digital game-based
learning (DGBL) represents a pedagogical approach that utilizes interactive and
immersive digital games to nourish the development of critical thinking and problem-solving
skills for student-centred active learning. However, how teachers can
apply DGBL effectively in architecture education is still being determined. We
conducted a qualitative case study to explore student engagement after implementing
the DGBL pedagogy supported by H5P escape room learning activities
in an architecture course with 121 university students. Our study found that the
game elements and the characteristics of Architecture education influenced students’
learning engagement in four aspects (behavioural, emotional, cognitive and
social). The main research findings contribute to digital pedagogy by extending
people’s understanding of the DGBL’s impact on learner engagement with rich
empirical data. Limitations and practical implications were discussed for future
development.
Keywords: Architectural Education, Digital game-based learning, H5P, Escape
room, Engagement

[78] Geometric Variability and Viability in Designing and Fabricating
Concrete Facade Components- A Systematic Review
Deyan Quan 1 , Christiane Herr 2 and Davide Lombardi 1
1
ARC Xi’an Jiaotong-Liverpool University, Suzhou, China
2
School of Design, Southern University of Science and Technology, Xueyuan Dadao 1088, Nanshan
District, Shenzhen Guangdong Province, China
This paper explores the integration challenges of advanced parametric modelling
techniques and architectural-scale concrete façade fabrication technologies. Despite
concrete's versatility and durability, which make it a preferred material for
parametric façade designs, a nuanced comprehensive understanding of balancing
its geometric variability and viability is absent. This review investigates the
interplay among digital geometric design and fabrication techniques, shedding
light on design strategies regarding fabrication constraints and the limitations
of current design approaches. By categorising design methods in concrete façade
design and production, it underscores the importance of fabrication-informed
parametric design strategies. The paper reviews recent research on geometry
types and related design approaches. It concludes by highlighting the strength
and potentials of balancing geometric variability and viability in the parametric
context, which has implications for the future design and construction of concrete
architectural elements.
Key words: Geometric Variability, Concrete Façade Element, Parametric Design,
Digital Fabrication.

[79] Strategies of Interconnecting Deep Learning Models in
AI-Driven Design Systems
Shermeen Yousif 1 and Daniel Bolojan 1
1
Florida Atlantic University, Fort Lauderdale FL 33301, USA
Artificial Intelligence (AI) and Extended Realities (XR) have the potential to create
new worlds, new narrative spaces. From our standpoint, to be believable, those
worlds need not only to convince our senses, but also our experience reality: a
complex, non-linear net of relationships among objects, beings, actions and concepts.
In other words, we wanted to create a narrative space rich and complex, in
terms of content and behaviour. At times, non-linear and unpredictable. In Oracle,
we explored some boundaries of this idea. Oracle is an installation based on a
variable chain of spatialized sound processing algorithms directly controlled by
a multilayer perceptron neural network (the “oracle”). The sound input of the system
is the voice of any participant who wants to play as a “visitor” (the one who
poses a question to the oracle). The output will be a processed version of that input,
a slight modification, a completely different sound texture or anything in between
these extremes. By wearing a VR headset, the visitor can interact with the
oracle and influence the output of the neural network, therefore the sound output.
However, it is not possible for any of the users to exactly predict the outcome of
such interaction. The oracle’s answer is then a net of sound relationships the user
needs to decipher, not to get the answer, but to better understand the question.
Keywords: Virtual Reality, Arts technology, Sound processing, Machine Learning,
Multimedia art

[80] Creativity in the Edge of Digital Reproduction - From Coop
Himmelb(l)au to Deep Himmelb(l)au
Lei Feng 1
1
Xi’an Jiaotong-Liverpool University
New architectural technologies have been developed, and established throughout
history, and this continues to be the case today. Looking at the Austrian-based architecture
studio Coop Himmelb(l)au’s complex set of avant-garde design processes,
this paper reflects upon the implications of recent and continuing advances in
technologies within the fields of digital design, robotic fabrication, and artificial
intelligence (AI) in the Age of Digital Reproduction, and within that purview, asks
how such creativity can remain at the Edge of Digital Reproduction. Accordingly,
I look back at such pivotal projects as Rooftop Remodelling Falkestrasse, Groninger
Museum – the East Pavilion, BMW Welt, and Pavilion 21 Mini Opera Space;
and forward at robotic fabrication processes applied in the Shenzhen Museum of
Contemporary Art & Urban Planning Exhibition and the Musée des Confluences,
as well as virtual and augmented reality applications and machine learning (ML)
tools that are a part of the ongoing Deep Himmelb(l)au research, which we expect
to transform certain techniques of the architecture industry, affect aesthetic invention
itself and perhaps even bring about an extraordinary change in our very
definition of architecture.
Keywords: Deep Himmelb(l)au, Artificial Intelligence, Architectural Intelligence,
Mind the Machine, Mind as Machine

[81] AI Machine Learning in Creative Architectural Design Processes
Juan Carlos Dall’Asta 1 and Giancarlo Di Marco 1
1
Xi’an Jiaotong-Liverpool University
Participation and co-creation are increasingly used to incorporate end-users’
demands and mitigate conflicts of interest. Digitalised games are introduced to
better visualise design scenarios and invite multiplayer collaboration. A recurring
problem is how much input and guidance are needed to achieve creative and
feasible outcomes. This paper explores how guided forms of gameplay can lead to
more informed negotiation and better game outcomes. The study focuses on public
space design in a high-density housing estate, where widely varied resident
demands put pressure on limited space. The methodology employed in this study
involved the development of a design quality evaluation system to support participatory
processes. To recruit study participants, design students were selected
from the same course and randomly assigned into teams. These participants were
then engaged in co-creation using a digital sandbox game that was designed to
facilitate the process. Participants’ co-creation outcomes were analysed through
a combination of qualitative and quantitative methods. The original contribution
of this study lies in the development of a user-activity-based toolkit for spatial
configuration analysis. Preliminary results demonstrate how structuring collective
design explorations around principles of activity complexity, sociability, environment
comfort, adaptability, surveillance, and wayfinding can offer a more
objective basis for collaboration. The implications of this approach can activate
collective creativity in the age of digital production and contribute to the creation
of more inclusive and user-centric public spaces.
Keywords: AI Machine Learning, Creativity, Architectural design, Architectural
education, Style transfer.

[93] Exploring 3D Concrete Printing of Lattice Structures on
Robotically-Shaped Sand Formwork for Circular Futures
Cristina Nan 1 and Alessio Vigorito 1
1
Eindhoven University of Technology, Groene Loper 3, 5612AE Eindhoven, Netherlands
This research bypasses the use of wasteful scaffolding and moulds, by exploring
3D concrete printing (3DCP) on reusable sand-based substructures. Non-standard,
complex geometries generally require the use of formwork to be produced,
leading to wasteful, material-intense manufacturing processes. The research explores
optimised material depositing strategies for 3DCP on robotically shaped
sand formwork. The need for timber scaffolding, plastic or foam-based moulding
for casting concrete is avoided. The fabricated structures are lattice-based lenses
with varying curve densities, envisioned as screens part of facade systems
and spatial dividers. The research addresses the need for circular construction,
reduction of raw-material usage for concrete formwork and the development
of optimised material depositing strategies to undercut concrete usage. The deployed
method falls under the category of sub-additive concrete printing. Firstly,
the sand-based formwork for printing is shaped robotically through the use of
different customised end-effectors. The robotic sand-forming of the substructure
can be repeated multiple times, as almost no material loss is encountered. Subsequently,
the robot arm is used for 3DCP along a three-dimensional tool path on the
robotically shaped sand formwork. Parameters such as extrusion flow, printing
speed and angle were tested and optimised to guarantee high-precision printing
and resolution. Different material depositing strategies for the multi-layered
printing were tested aiming to improve the layer definition, structural performance
of the lattice-based lenses and to reduce material use.
Keywords: circularity, sub-additive manufacturing, 3D concrete printing, sand
forming, robotic fabrication

WORKSHOPS

WORKSHOP 1
Spanning the Future: Designing Efficient Structures within a
Carbon-Constrained World
Facilitators: Matthew Tam and Clemens Preisinger (Karamba3D)
About the workshop
Acknowledging that the Architecture, Engineering, and Construction (AEC) industry accounts
for up to 50% of all global carbon emissions places a significant spotlight on its
role in the carbon crisis. However, given the pressing need to house a growing global
population, halting construction isn't an option. Instead, we must pioneer innovative design
procedures and reexamine building methods. By integrating structural optimization
with Life Cycle Assessment (LCA), we can holistically balance structural performance and
environmental concerns. Implementing a project carbon budget within the design process,
alternative materials need to be explored to design expansive structures whilst minimizing
environmental impact. The ultimate aim of the workshop is to challenge participants
to design an efficient structure with the largest possible span using Karamba3D, all while
adhering to a defined maximum carbon limit.
Key highlights
- Integration of Structural Optimization and LCA
- Holistic Design Approach
- Understand LCA Databases
Prerequisites
Basic command of Grasshopper is essential. For XJTLU students, successful completion
of Rhino Essentials, Rhino Designer from ArchiStar Academy is advisable.
Up to 20 participants
Dates: November 11th- 12th (9am-5pm, with lunch break)

WORKSHOP 2
Crafting Large-Scale Installations: The Art of Robotic Hot-
Wire Cutting
Facilitator: Leyuan Jiang (Xi’an Jiaotong-Liverpool University, ARC)
About the workshop
Explore the forefront of large-scale installation design and construction in this hands-on
workshop focusing on robotic hot-wire cutting (RHWC) techniques. Aimed at unveiling
the potential of cost-effective and rapid fabrication, participants will be immersed in an
end-to-end journey from digital ideation to tangible assembly.
Key highlights
- Dive deep into a fabrication-aware design process that optimally harnesses the capabilities
of robotic hot-wire cutting.
- Acquaint yourself with the complete workflow, starting from digital design and simulation,
transitioning through robotic tool path generation, and culminating in the actual
robotic operation and installation assembly.
- Gain insights into the technological advancements, potentials, and limitations of robotic
hot-wire cutting through engaging activities.
- Participate in dynamic discussions centered on future innovations, applications, and
broader implementations of these techniques.
Join us for an enlightening session that bridges the gap between digital design aspirations
and physical construction realities, leveraging the power and precision of robotics.
Prerequisites
Basic knowledge of the digital tools (Such as Rhino, Grasshopper, SubD modelling, etc.).
For XJTLU students, successful completion of Rhino Essentials and Rhino Designer from
ArchiStar Academy is advisable.
Up to 10 participants
Dates: November 11th- 12th (9am-5pm, with lunch break)

Supported by
DigitalFUTURES