Keynote Speakers/主讲嘉宾

Keynote Speakers/主讲嘉宾

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Prof. Philippe Fournier-Viger, Young Professionals of "Thousand Talents Plan"

School of Computer Science, Harbin Institute of Technology, China


Title: Data Mining and Machine Learning for Innovative Industrial Design

Abstract: Product development is an important and complicated process, which must consider numerous constraints. It consists of several steps such as analyzing potential customers wants and needs, planning, prototype design, and user evaluation. During each of these steps, data can be collected as documents such as product specifications and feedback forms, or by other means such as using body sensors or collecting usage data. To reduce costs in terms of time and investments, and produce better designs, an emerging solution is to analyze data generated or used during product design using data mining and machine learning techniques. Using such techniques can provide major insights for the improvement of products and the process of industrial design.

In this talk, we will first give an overview of recent research studies on applying data mining and machine learning to industrial design and highlight opportunities in this area. Then, as example, we will discuss some of our recent work on applying algorithms to discover patterns in transaction databases to better understand customers. We will explain how data mining techniques can be utilized for finding easily interpretable patterns such as the most profitable sets of products purchased by customers, identifying periodic behaviors of customers (e.g. some persons buy some products every week), and trending or peak purchasing patterns. We will also explain how product usage data can be analyzed to find frequent usage patterns. Lastly, the SPMF open-source software will be mentioned as an example of tool providing such capabilities for pattern analysis.


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Prof.Jianning Su

Department of Industrial Design, School of Design Art, Lanzhou University of Technology, China


Title: Research on Advanced Design Method of Product Image Styling in the Era of Artificial Intelligence 

         面向人工智能时代的产品意象造型先进设计方法研究

Abstract: Artificial Intelligence (AI) is a technology that enables machines to imitate human behavior. In a sense, the current era of AI has begun, especially in the field of big data, cloud computing, internet of things and other technologies. In the development of industrial internet, a large number of smart bodies will gradually begin to land in the industrial field, and thus promote the process of the whole society's wisdom.

In the field of design, AI has shown great vitality. Like Deer Class of Alibaba, the intelligent design system developed through AI technology has the characteristics of intelligent, efficient and convenient, which effectively promoting the design and development of artificial intelligence.

In the current consumer market, users are paying more and more attention to the emotional image of the product. Based on the theory of Kansei engineering, this study uses AI-related technology to explore advanced design methods for product image modeling, including the following five aspects:

(1) Kansei image mining of product based on AI technology;

(2) Form description of product for the intelligent design;

(3) Main design elements identification of product based on AI technology;

(4) Mapping of Kansei image and product design elements based on AI technology;

(5) Innovative design of product form based on AI technology. 


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Prof. Richard (Chunhui) Yang, Acting Deputy Dean, Associate Dean, Research and HDR


School of Engineering, Western Sydney University, Australia


Title: Principles of Design for Industry 4.0 and Advanced Manufacturing and their Applicaitons 

Abstract: Additive manufacturing is a category of fabrication techniques and a core technology of Industry 4.0, which synthesise products with complex geometric shapes by using CAD models as three-dimensional blueprints. As a new advanced manufacturing technology, further researches are urgently needed to explore the printing process to get expected mechanical properties of 3D printed materials. Meanwhile, there is an urgent need to explore how to update the design philosophy with new contents and principles of Design for Industry 4.0 and Advanced Manufacturing. The product development and design process needs to be revised to accommodate the new design philosophy for Industry 4.0 and Advanced Manufacturing.   

In this study, as a research case, the design, fabrication, and characterisation of selective laser melted 17-4PH stainless steel is experimentally conducted and tensile tests of the specimens are carried out to determine its material properties and mechanical behaviours. These experimental data are used as a base for comparing the mechanical properties of material samples by using various additive manufacturing processes. The tensile testing of the heat-treated specimens yielded mechanical properties that are found between those expected of as-built and heat-treated samples of 17-4PH stainless steel. Additionally, mechanical properties collected from the experimental data are used to numerically analyse the structural integrity of a component for high-pressure fluid applications. Then the component is redesigned based on the principles of design for 3D printing. While the 17-4PH material from this study has average valued material properties compared to those of other studies, the numerical analyses still show reasonable results within safety limits designed for the component in industrial settings.


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Assoc. Prof. Agnes Xue Lishan, Design and Specialised Businesses, Singapore Institute of Technology, Singapore


Title: Innovation, Uncertainty of Industrial Design Education, and Aligning Education and Workforce for this New Era

Abstract: 

It is a commonplace that the world is changing and, moreover, that the rate of change is increasing. This is not a matter just for the workplace. Patterns of communication, the construction and distribution of information, political culture and governance, civic engagement, all face major turbulence. Addressing the “skills gap” at university education requires being able to specify what the gap is; building a bridge without having secure foundations at each end is a footless enterprise. Who can say which of the many skills currently deemed essential will still be so in twenty years' time? Today, knowledge of design thinking and innovation has become a pre-requisite across industries, as all businesses will eventually need to use the core design principles and innovations to develop strategies that better connect them with their end users.

Traditional Industrial Design education has evolved and industrial designers are either applying their knowledge and skills into specific domains, or else in Singapore, as in other countries, new paths for industrial design professionals have come forth as 'service designers', 'user experience designers' and 'user researchers' (to name but a few). Job roles have emerged within businesses, consulting firms and governments to research, plan and design complex 'multi-touchpoint' product and service offerings that place user experience at the heart of the design process. Against this backdrop, there is an opportunity for new forms of degree education in Experience Design in Singapore. A story of curriculum development will be shared – it is a perpetual loop of applying design thinking method into discovering and implementing what design innovation is necessary for designers of the future in Singapore and how to deliver that experience and alignment with industry in a proactive way.