Advanced Design Concepts and Practice Workshop      

Beijing, China, November 19-21, 2017

keynote/invited Speakers


             Xie You-bai               John Gero              Imre Horváth        Karthik Ramani       Kristin Wood        Michel Van Tooren     

       Peihua Gu                    Hong Jun                Tan Runhua          

 Chen Liping          Giorgio Colombo       Ma Yongsheng        Stephen Daniels            Zoltán Rusák


Honored Speaker

Prof. Xie You-bai

Academician of Chinese Academy of Engineering 

Keynote Speakers & Invited speakers:

Prof. John Gero

Research Professor of Department of Computer Science and School of Architecture, University of North Carolina at Charlotte, USA 
Research Professor of Krasnow Institute for Advanced Study and Department of Computational Social Science George Mason University, USA

Prof. Imre Horváth

Professor and Head of Section of Cyber-Physical Systems Development of Faculty of Industrial Design Engineering, Delft University of Technology, the Netherlands

Prof. Karthik Ramani

Donald W. Feddersen Professor, School of Mechanical Engineering, Purdue University, USA

Prof. Kristin L. Wood

Professor & Pillar Head, Engineering & Product Development (EPD)

Co-Director of the SUTD-MIT International Design Centre (IDC)

SUTD - Singapore University of Technology and Design

Prof. Michel Van Tooren

Professor and Director Aerospace Studies, Mechanical Engineering Department, University of South Carolina, USA

Prof. Peihua Gu

Prof. Hong Jun

Prof. Tan Runhua 

Prof. Giorgio Colombo

Vice-Chancellor of Shantou University, China

Associate Dean of Mechanical Engineering School, Xi’an Jiaotong University, China

Vice-President of Hebei University of Technology, China

Professor of Mechanical Engineering Department, Politecnico di Milano, Italy

Prof. Ma Yongsheng

Professor of Department of Mechanical Engineering, Faculty of Engineering, University of Alberta, Canada

Prof. Chen Liping

Professor of Mechanical Engineering Department, Huazhong University of Science and Technology, China

Dr. Stephen Daniels

Research and Enterprise Hubs, School of Electronic Engineering, DCU, Ireland

Dr. Zoltán Rusák

Faculty of Industrial Design Engineering, Delft University of Technology, the Netherlands



                                                                   Professor Xie You-bai谢友柏院士
                                                        Academician of Chinese Academy of Engineering

Professor Xie You-bai graduated from Jiao Tong University (Shanghai) with a specialty of Internal Combustion Engine Manufacture, and then was engaged in the teaching and research work concerning Mechanism and Machine Theory. In 1957, he moved to Xi'an with the University and worked there. He was appointed as the first supervisor of Ph.D. students in the field of Machinery Science at Xi'an Jiao Tong University in 1984 and Professor in 1986. Two years later, he was appointed director of Theory of Lubrication and Bearing Institute. Besides, he was vice-chairman of the first, second and third Council of Tribology Institution of Chinese Mechanical Engineering Society (CMES), and was appointed chairman in 1992. He is also dean of the Academic Committee of National Tribology Laboratory, Tsinghua University and member of Academic Degree Committee of State Council. Xie is the deputy editor on Journal of Tribology, member of the editorial board of Chinese Journal of Mechanical Engineering, China Mechanical Engineering, Journal of Engineering Tribology (Proc IMechE Part J) etc., and a part time professor of Shanghai Jiao Tong University, Southwestern Jiao Tong University, Northwestern Polytechnical University, etc. He was in the first group to be elected academician of the Chinese Academy of Engineering in 1994.
Professor Xie has been occupied with research and education in Machinery Science and Tribology for about 40 years. He has undertaken dozens of national key projects. He has been awarded over ten different prizes, including a National Natural Science Award and several Ministry Awards and Province Awards. He has published more than 100 papers, books, and about 16 students have obtained their Doctoral degrees and 31 have obtained their Master's Degrees under his supervision.
Professor Xie has made theoretical and practical studies in many different fields of Tribology, including lubrication, control, reliability, knowledge acquisition, databank and expert systems, and has made many achievements in those fields. Based on the previous simple systems, he developed the approach and proposed a basic framework of the engineering systems —tribo-systems. Furthermore, he has achieved many important findings, both theoretical and practical, in the area of tribological and dynamical design of rotor-bearing systems for large turbine generator sets and high speed rotating machinery.

Lecture Topic: Four Basic Laws in Design Science
Design is a human activity different from scientific research. Design science is also different to design technology while the former dealing with the common and basic laws for all design activities and the latter dealing with the design principles and technique for a specialty area. The principles and technique for different specialty areas are different. Therefore the definition for design should be clarified in design science. It is understood as the start point of all human’s purposeful activity which consists of design and implementation. There are four basic laws in design science. They are the law of design based on existed knowledge,law of incompleteness of design knowledge,law of design centered on new knowledge acquirement and law of competitiveness of design knowledge. The four basic laws show the knowledge essence of design. To enrich the existed knowledge,to make it convenient to be used,to teach designers with high intuition and inspiration in picking useful elements of existed knowledge and shaping competitive ideas and to have strong new knowledge acquirement facility are basic conditions of good designs. Study of design science will promote the structure of traditional engineering education. An important conclusion is derived that there will be no successful innovation without good design.

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Professor John Gero
Research Professor of Department of Computer Science and School of Architecture
University of North Carolina at Charlotte
Research Professor of Krasnow Institute for Advanced Study and Department of Computational Social Science
George Mason University, USA

Dr. John Gero is a Research Professor at UNC Charlotte, the Krasnow Institute for Advanced Study and in the Department of Computational Social Science and in the Volgenau School of Engineering, George Mason University. He is also an Adjunct Professor in the Creativity and Cognition Studios, University of Technology – Sydney. Formerly he was Professor of Design Science and Co-Director of the Key Centre of Design Computing and Cognition, at the University of Sydney. He is the author or editor of 50 books and over 650 papers and book chapters in the fields of design science, design computing, artificial intelligence, computer-aided design, and design cognition. He holds a number of software licenses. He has been a Visiting Professor of Mechanical Engineering, Architecture, Civil Engineering, Cognitive Science, Computer Science, and Design and Computation at MIT, UC-Berkeley, UCLA, Columbia and CMU in the USA, at Strathclyde and Loughborough in the UK, at INSA-Lyon and Provence in France and at EPFL-Lausanne in Switzerland.
He has been the recipient of many excellence awards including the Harkness Fellowship, two Fulbright Fellowships, two SRC Fellowships and various named chairs. He is on the editorial boards of numerous journals related to design science, computer-aided design, artificial intelligence and knowledge engineering and was the chair of the international conference series Artificial Intelligence in Design. He is the chair of the conference series Design Computing and Cognition and the international conference series Computational and Cognitive Models of Creative Design.
Dr Gero’s research is based on the notion that designing is itself a meta-discipline practiced in multiple disciplines such as engineering, architecture, industrial design and software design. Dr Gero’s research in design as a metadiscipline started with the development of models informed by the formal languages of optimization, artificial intelligence and computational constructs. The validation and simulation of these models has been advanced by cognitive studies of designers across multiple disciplines and has led to an integrated approach of design computing and design cognition providing evidentiary support for the contention that designing is a meta-discipline.
More recently, with the advances in cognitive science and in neuroscience and the ability to collect data on brain activity while performing certain tasks, design research now has the opportunity to be more comprehensive in bringing together computation, cognition, and cognitive neuroscience. Research in this area will inform our understanding of design processes, design support, design interactions, design teams, and design education.
Current and recent research funding has come from the NSF (CMMI, CNS, EEC, IIS and SBE Programs), DARPA and NASA.
John Gero's major contributions include promulgating the scientific approach to studying designing, the development of the FBS ontology of design and designing, artificial intelligence in design, novel protocol methods to study design cognition, situated cognition as the basis of computational models of designing, and the introduction of designerly thinking into studies of innovation.
John Gero is an Honorary Fellow of the Design Society, a Life Fellow of the Royal Society for the Arts, a Fellow of the Association for the Advancement of Artificial Intelligence and a former Fellow of the Institution of Engineers, Australia, amongst others.

Lecture Topic: Modeling Cognitive and Social Behavior Through Agents in Product Design

Design research has focused on individuals and teams and on products. The notion that design is carried out individually or in teams fails to account for the social interactions that occur between design teams, between designers and products, between consumers and products, and between consumers themselves, as evidenced by the activity on Facebook, Twitter, Amazon reviews and Google searches. How can we include such interactions in design research? One approach based on computational social science (CSS) is to model large scale emergent social behavior through the aggregation of individual behaviors. CSS uses agent-based models as its computational substrate. This talk presents social, situated cognitive agents as the basis of individuals and uses concepts from situated cognition as the foundation for the agent’s behavior. Such systems have been used to study design, creativity and innovation, where creativity is the generation of intellectual property and innovation is the production of value from intellectual property.This talk introduces: 1) foundational concepts of social computing; 2) concepts of situated cognition as basis for designing agents; 3) study of emergent blind spots in organizations, and study of innovation through consumer social behavior.     

Professor Imre Horváth
Professor and Head of Section of Cyber-Physical Systems Development
Faculty of Industrial Design Engineering
Delft University of Technology, the Netherlands

Prof. Dr. Imre Horváth earned M.Sc. titles in mechanical engineering and engineering education at the Technical University of Budapest. I was working for the Hungarian Shipyards and Crane Factory for more than six years. With additional studies, Prof. Dr. Imre Horváth specialized in computer aided design and engineering. After the industry years, Prof. Dr. Imre Horváth has had various faculty positions at the Technical University of Budapest, and earned doctoral titles, including that from the Hungarian Academy of Sciences. Prof. Dr. Imre Horváth’s research has focused on issues concerning geometric and structural modeling, knowledge-intensive software tools, advanced design support of conceptual design, and virtual reality technologies and applications.
Prof. Dr. Imre Horváth has published more than 30 journal articles and more than 150 conference papers, has received 4 best paper awards (e.g., from ASME, ICED). He is serving 3 journals as permanent editor and many more in guest editor position. He initiated the International Symposia on Tools and Methods of Competitive Engineering (TMCE) and has been its general chairman for 12 years. He has served the Executive Committee of the CIE Division of the American Society of Mechanical Engineers for 7 years, also as Chair of Division. He presented several invited and keynote talks at international conferences.
As educator Prof. Dr. Imre Horváth is interested in advanced support of product design, in particular that of conceptual design, integrating research into design education, and teleconferencing-based active learning.

Lecture Topic: Foundational research in complex technical systems: An initial categorization

In the last half century, there is a clearly observable move towards complex systems that are deeply embedded in the physical and social environment, and often manifest as sociotechnical systems. This paper investigates only those complex engineered systems (CESs), which are referred to as technical systems, rather than as socio-technical systems. These systems are exemplified by advanced mechatronics systems, embedded systems, real-time systems, agent-based smart systems, internet of things systems, and cyber-physical systems. The paper focuses on the past and current research in these systems, which the goal of (i) identifying the major research concerns, (ii) proposing a taxonomy of the research areas, (iii) casting light on some seminal research work in the research ideas, and (iv) forecasting emergent research areas and topics. First, the recent surveys of the related research activities are briefly summarized. Having addressed some important definitional issues, the paper presents a comprehensive sorting of the research interests in complex technical systems, and proposes an open taxonomy that can be extended to other families of complex engineered systems. The proposed main research categories are: (1) philosophies of CESs, (2) ontologies of CESs, (3) theories of CESs, (4) epistemologies of CESs, (5) methodologies of CESs, (6) technologies of CESs, (7) functionality of CESs, (8) architectures of CESs, (9) implementations of CESs, (10) controls of CESs, (11) applications of CESs, (12) stakeholders of CESs, and (13) interactions with CESs. In each category multiple subcategories are identified based on the papers published in the related literature. In addition to providing a landscape of the research in complex engineered systems, the results of this research can also be used for classification of this kind of systems. The follow up research focuses on extension of the proposed taxonomy to complex socio-technical systems.

  Professor Karthik Ramani
Donald W. Feddersen Professor, School of Mechanical Engineering
Purdue University, USA

Karthik Ramani is a Professor in the School of Mechanical Engineering at Purdue University. He earned his B.Tech from the Indian Institute of Technology, Madras, in 1985, an MS from Ohio State University, in 1987, and a Ph.D. from Stanford University in 1991, all in Mechanical Engineering. Among his many awards he received the National Science Foundation (NSF) Research Initiation and Career Award, the Ralph Teetor Educational Award from the SAE, and the Outstanding Young Manufacturing Engineer Award from SME. In 2006 he won the innovation of the year award from the State of Indiana. He serves in the editorial board of Elsevier Journal of Computer-Aided Design and ASME Journal of Mechanical Design. In 2008 he was a visiting Professor at Stanford University (computer sciences) as well as a research fellow at PARC (formerly Xerox PARC). He also serves on the Engineering Advisory sub-committee for the NSF IIP (Industrial Innovation and Partnerships). In 2006 and 2007, he won the Most Cited Journal Paper award from Computer-Aided Design and the Research Excellence award in the College of Engineering at Purdue University. He was the co-founder of the world’s first commercial shape-based search engine (VizSeek/Imaginestics). In 2009, he won the Outstanding Commercialization award from Purdue University. He has won several best paper awards from ASME and in 2014 the Outstanding Research Excellence Award from ASME Computers and Information Sciences in Engineering Division. NSF recently invited him for a distinguished lecture in cyber-learning. His recent papers have been published in ACM UIST, IEEE CVPR, ACM SIGCHI, ACM IDC, ASME JMD and ACM SPM.  

Lecture Topic: The Computer as a Partner

The recent success of tablets and depth cameras is a direct example of the importance of using natural interactions to create simple and more interesting virtual experiences. On the other hand current interactive sketching media, shape modeling paradigms and tools remain non-intuitive and require significant training. They are often built on WIMP-based (windows-icons-menus-pointers) metaphors and interactions, thus binding the user to stringent procedural steps making interactions cumbersome. The first part of this talk presents skWiki and Juxtapoze. SkWiki is a web application framework for collaborative creativity in multi-media projects, including hand-drawn sketches. Built on the browser, skWiki uses the concept of paths as trajectories of persistent state over time. This model has intrinsic support for collaborative editing, including cloning, branching, and merging paths edited by multiple contributors. Juxtapoze is a clipart composition workflow that supports creative expression and serendipitous discoveries in the shape domain. Allowing multiple exploration channels, such as doodles, shape filtering, and relaxed search facilitates serendipitous discovery of shapes. The second part of the talk presents zPots and ChiRobot. Using a depth camera we present new interaction paradigms for creation, interaction and manipulation of 2.5D shapes through natural integration of human gestures with shape modeling schemes. Finally the talk concludes by developing a new “cyber-physical” toy platform (ChiRobot) that combines construction and craft to enable children to build toys from their imagination and animate it in a short time. User studies support all the research presented.


Professor Kristin L. Wood
Professor & Pillar Head
Engineering & Product Development (EPD)
Co-Director of the SUTD-MIT International Design Centre (IDC)
SUTD - Singapore University of Technology and Design

After completing his doctoral work, Dr Wood joined the faculty at the University of Texas in September 1989 and established a computational and experimental laboratory for research in engineering design and manufacturing, in addition to a teaching laboratory for prototyping, reverse engineering measurements, and testing. During the 1997-98 academic year, Dr Wood was a Distinguished Visiting Professor at the United States Air Force Academy where he worked with USAFA faculty to create design curricula and research within the Engineering Mechanics / Mechanical Engineering Department. Through 2011, Dr Wood was a Professor of Mechanical Engineering, Design & Manufacturing Division at The University of Texas at Austin. He was a National Science Foundation Young Investigator, the “Cullen Trust for Higher Education Endowed Professor in Engineering”, “University Distinguished Teaching Professor”, and the Director of the Manufacturing and Design Laboratory (MaDLab) and MORPH Laboratory. Dr Wood has published more than 300 commentaries, refereed articles and books, and has received three ASME Best Research Paper Awards, two ASEE Best Paper Awards, an ICED Best Research Paper Award, the Keck Foundation Award for Excellence in Engineering Education, the ASEE Fred Merryfield Design Award, the NSPE AT&T Award for Excellence in Engineering Education, the ASME Curriculum Innovation Award, the Engineering Foundation Faculty Excellence Award, the Lockheed Martin Teaching Excellence Award, the Maxine and Jack Zarrow Teaching Innovation Award, the Academy of University Distinguished Teaching Professors’ Award, and the Regents’ Outstanding Teacher Award. Of particular note are Dr Wood’s published books in design, including “Product Design: Techniques in Reverse Engineering and New Product Development” with Dr K. Otto and “Tools for Innovation” with Dr A. Markman.

 Lecture Topic: Styles and Innovations in Design Research, Education, and Practice 

In last two to three decades, several pedagogical themes and approaches have been explored in design education. These pedagogies seek to address a number of fundamental educational questions. They also seek to develop a mindset and skillset in students to prepare them for an innovation economy of the future. In this presentation, we gaze through the lens of a number of initiatives in Design Education, in recent history, across nations, and from the perspective of new, frontier programs. As an example of these initiatives, we describe and discuss the opportunities and bold initiatives currently being carried out by Singapore’s fourth national university: The Singapore University of Technology and Design (SUTD). SUTD is developed in collaboration with MIT and Zheiiang University to nurture technically-grounded leaders and innovators to serve societal needs, and includes a focus in research and education on Big-D Design. The concept of Big-D Design permeates this vision for SUTD. Big-D includes architectural design, product design, software design, systems design, service design and basically all technically grounded design. It is design through conception, development, prototyping, manufacturing, operation, maintenance, and sustainability – the full value chain. It includes an understanding of the liberal arts, humanities, and social sciences. In short, Big-D encompasses the art and science of design. This presentation explores Big-D design and related research Grand Challenges and Design Research Thrusts, from a perspective of the SUTD-MIT International Design Center (IDC,


Professor Michel Van Tooren
Professor and Director Aerospace Studies, Mechanical Engineering Department
University of South Carolina, USA

Prof. Michel van Tooren obtained his PhD at Delft University on Composite Fuselage Design in 1998. After positions as researcher and assistant professor at the Faculty of Aerospace Engineering, he became full professor Systems Integration Aircraft in 2002. In 2010 he accepted a job in industry as manager New Concept Development at Fokker Aerostructures BV. He combined this with a part-time appointment as professor Systems Integration Aircraft at the section Flight Performance and Propulsion of the Delft University of Technology. In addition he is member of the scientific board of the NLR (Netherlands Aerospace Laboratories), member of the Technical Committee Multi-disciplinary Design and Optimization, American Institute of Aeronautics and Astronautics. Prof. Michel van Tooren currently holds the position of professor of Department of Mechanical Engineering, College of Engineering and Computing of University of South Carolina, USA.
Dr. Van Tooren's research interest include Design Automation, Knowledge Based Engineering, Alternative aircraft concepts, Composite aircraft fuselages, Aircraft Certification, Systems Engineering and Road vehicle aerodynamics.

Lecture Topic: Design of variable stiffness composite plates with
cut-outs using a dual mesh approach

The performance of composite structures can be enhanced by tuning of load paths and material strength using fiber steering to create variable stiffness and strength laminates. This paper presents a framework for the design of variable stiffness fiber composite panels subject to multiple load cases, each case a combination of tension and shear. The framework consists of a finite element (FE) solver, an optimizer, a module that controls the link between design variables and the stiffness matrix in the FE module, and a post-processor that translates the theoretical optimal result from the optimizer into discrete tow paths for each ply and allows the partial removal of overlaps between tow paths. The latter allows the designers and manufacturing engineers to implement a strategy for dealing with overlaps and gaps, a characteristic of fiber steered parts. The framework is based on a dual mesh formulation. For the design variables a manufacturing mesh separate from the FE mesh is used that limits the number of design variables while preserving smoothness and allows easy specification of manufacturing constraints enforced by the envisioned fiber steering process, for example the minimum course radius to prevent tow buckling. Results obtained with the framework show the structural benefit of using variable stiffness also in case of multiple load cases. The design variable formulation leads to acceptable calculation time while preserving accuracy and smoothness of the solution. Separation of optimizer and tow path planner allows multiple practical interpretations of the theoretical optimization result. This preserves the influence of the manufacturing engineer on the practical panel lay-up.

Professor Giorgio Colombo
Professor of Mechanical Engineering Department
Politecnico di Milano, Italy
Prof. Giorgio Colombo is  professor at Politecnico di Milano. In 1989, he started his research activities at ITIA-CNR in Milan. From 1992 to 2000, he has been assistant professor at Faculty of Engineering of Parma. Since 2001 he has been associate professor. His research activities focus on: shape modelling, Knowledge Based Engineering, Computer Aided Design, Simulation techniques, Computer Graphics, Virtual Reality, robotics. He has been coordinator and responsible for the research unit activities in national and European research projects

Lecture Topic: Knowledge Acquisition in KBE Applications and in Knowledge Engineering

Knowledge acquisition is commonly referred as the preliminary phase necessary to develop expert systems, KBE applications, all IT tools where knowledge is needed. Today Knowledge Acquisition can be seen as a crucial aspect of Knowledge Engineering; best practices definition, process management and design automation require an intensive activity of knowledge acquisition. Knowledge can be acquired directly by domain experts and/or different sources such as handbooks, technical and scientific publications, standards, database, patents. This activity is arguably the most important of the entire development process because it deeply affects the following phases. During the Knowledge Acquisition activities, very large number of documents, of different types and formats, are usually collected and analyzed. Thus, it is necessary to organize them and extract relevant information and knowledge. In order to do that, a Knowledge Acquisition technique that helps with turning information to preferably pre-formalized format is desirable. As a consequence, following formalization and development phases are simplified.
This paper presents the methodology and the tools that the authors have been using to systematically acquire domain and experts’ knowledge and translate it into KBE applications. The proposed method is the result of hand-on experience gained in the implementation of several industrial product configurators and design automation applications. After a brief introduction with problem definition and existing knowledge acquisition practices, the proposed methodology and the supporting software tools are presented in details. In the discussion section, this paper provides a qualitative comparison with existing methodologies, highlighting what has been learned from on-field practice. Finally, future work directions are presented.
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Professor Ma Yongsheng
Professor of Department of Mechanical Engineering, Faculty of Engineering
University of Alberta, Canada

Prof. Yongsheng Ma is a full professor with the faculty of engineering, University of Alberta. Dr. Ma joined U of A since 2007, and has been teaching capstone design projects, engineering informatics, engineering economics and manufacturing processes. Dr. Ma is a member of ASEE, SME, and an Alberta registered Professional Engineer. His main research area is product and process design engineering informatics, including feature-based design and manufacturing modeling, CADCAM, and product lifecycle management. Dr. Ma received his B.Eng. from Tsinghua University, Beijing (1986), both M.Sc. (1990) and Ph.D. (1994) from UMIST, UK. Dr. Ma had been an associate editor of IEEE Transaction of Automation Science and Engineering (2009-2013). Since 2012, he has served as an editor of Advanced Engineering Informatics.
Dr. Yongsheng Ma was a faculty with Nanyang Technological University, Singapore from 2000 to 2007. Dr. Ma publishes actively in top international journals, books, and conference proceedings. In 2013, with Springer, he has published a new book, Semantic Modeling for Product and Process Engineering. He believes strongly in industrial collaboration and engagement for teaching engineering students. Due to his fruitful collaboration, jointly with a local plastic manufacturer, he won the prestigious ASTech award sponsored by Alberta Science and Technology Leadership Foundation in 2012. Dr. Ma started his career as a polytechnic lecturer in Singapore (1993); and then a senior research fellow and group manager (1996-2000) at Singapore Institute of Manufacturing Technology. Dr. Ma also served in department selection committee (2012), faculty nominating (2009-2011) and evaluation committees (2011). From 2013 to present, Dr. Ma has been serving as a member of General Faculty Council (GFC) and a university senator.
Prof. Yongsheng Ma’s Fundamental Research - Unified and Associative Feature Theory
Dr. Ma’s research strength falls in the areas of collaborative and concurrent engineering, product life cycle management, and CAD/CAM. His specialty is in feature-based intelligent product and engineering process informatics. He has proposed a fundamental framework of ‘associative feature’ theory. This pioneering work suggests an advanced feature modeling method that supports engineering feature objects consistently across the iterative engineering phases of a mechanical system from cradle to grave. With the support of that advanced informatics theory, a generic feature definition scheme has been developed which accommodates the complexity of engineering semantic entities by mapping their properties into a generic data structure in a flexible manner as well as incorporating intelligent evaluation methods to maintain the associated constraints. Such a conceptual breakthrough was further enhanced with the development of a feature-based, fine-grain, and neutral-format database repository. As a natural evolution of this research, an ambitious research direction to discover a unified and web-based collaborative engineering system to support collaborative engineering has been established. This effort has been recognized by the research community and Dr. Ma has been invited to organize special issues for several international journals relevant to this rapidly expanding research field. He had been invited as a visiting professor by Chung Nam University, Nanjing Aerospace and Astronautic University and Zhejiang University in the recent years. Since 2009, Chinese Scholarship Council has sent 6 PhD candidates and 3 visiting scholars to the applicant’s lab for research training.
Prof. Yongsheng Ma’s - Practical Application Research
Dr. Ma’s application research has led to the advancement of computer aided plastic mould design. It is still worth mentioning that under his leadership in Singapore (1996-2000), with a S$4 million grant and the continued investment, his team had developed a plastic mould design software tool, named ‘QuickMould’. This tool had been successful commercialized, and soon was purchased by UGS Inc. (now UGS has been reorganized under SIEMENS, and the product is known as “Moldwizard”) in 1999 with S$10 million estimated direct technology transfering benefits to Singapore government. The technical merits of this tool have warranted its market position worldwide which can significantly improve the productivity of complex mould design processes and quality. Significant improvements are demonstrated at the layer of intelligent and extended feature modeling as well as component and assembly pattern modelling. Dr. Ma’s new research effort has been dedicated to build a solid lifecycle informatics management foundation for oil production engineering in Alberta, including oil well drilling and refinery production that is expected to enable enterprises to capture and reuse their existing engineering expertise in the form of a computer knowledge and repository system and to implement smart and reliable engineering lifecycle management. Such a technology can add value to many large scale engineering projects that are critical to the industry economy, such as automobile, aerospace, oil sands, medical, construction and agriculture industries, for engineering system management, process simulation and analysis, equipment design, manufacturing and maintenance, and supply chain information integration. Prof. Ma’s graduated students have been employed by higher-learning institutions, government, and Alberta companies. So far, industrial collaboration projects granted to Dr. Ma under MITACS and NSERC schemes support his 20 research students. Recently, Dr. Ma has successfully secured CDN$2.4 million industrial investment on oil extraction tooling design and engineering technology under NSERC Industrial Rsearch Chair scheme and more than CDN$5.0 million matching fund is under review by funding agencies.

 Lecture Topic: Utilization of Mobile Phone to Track Project Progress Using Photo Recognition Techniques and BIM

Success of energy development projects require close collaboration among engineers from different disciplines. However, till now, there is still lack of systematic information sharing support for such multi-disciplinary collaboration, such as between geo-mechanical and chemical process engineering and mechanical engineering. In this paper, a unified interdisciplinary methodology is proposed based on associative feature to have a generic data representation and multi-physics modelling schema. With the systematically organized and indexed constraints embedded in the feature models, and a supporting change propagation method, this proposed methodology is a good fit for collaborative engineering of sizable projects. An example is studied related to the construction industry in Canada. Typically, construction project performance, therefore, has to be monitored and tracked to determine deficiencies. Due to the importance on this task, effectiveness and accuracy are crucial constrains that should be considered. Construction progress monitoring requires to reduce manual work and to automate whatever work possible. As advanced engineering informatics technology becomes more affordable, automation solutions become more and more realistic. Meanwhile various research works in this domain depend on fancy equipment; this research suggests using mobile devices as the tool to collect progress information. Therefore, with utilization of Building Information Modeling (BIM) technology and mobile devices, a framework of technology is proposed which recognizes the site photos and transforms it into information features to update the schedule and cash flow of a construction project automatically..

Professor Chen Liping 陈立平教授
Professor of Mechanical Engineering Department
Huazhong University of Science and Technology, China

陈立平教授是华中科技大学国家CAD支撑软件工程技术研究中心主任、浙江大学CAD&CG国家重点实验室学术委员、获2004教育部新世纪优秀人才计划资助,创建了苏州同元软控信息技术有限公司,致力于多领域物理统一建模技术产品化产业化。二十多年来,在几何约束求解、多体系统动力学、多领域建模分析等数字化设计支撑技术方面进行研究,承担了国家自然基金、863及企业合作等多层次项目。近年来,密切关注复杂机电系统建模分析与优化技术发展,在多领域物理建模理论方面进行了深入研究,在国内率先研究了多领域物理建模规范语言modelica,承担2006年863目标导向项目《基于多领域物理建模的复杂产品协同仿真平台》并组织研发多领域物理建模与仿真系统Mworks。作为亚太地区第一个基于modelica的仿真分析平台,Mworks在维也纳MODELICA 2006大会上受到国际同行关注和肯定。十年来,在计算机学报、软件学报、Computer& Struct.等国内外重要学刊上发表论文90余篇。2008年获苏州工业园区青年领军人才孵化项目、2009姑苏领军人才计划、苏州市科技成果转化等项目支持,2009年以苏州同元软控信息技术有限公司承担了国家863计划先进制造技术领域重点项目《机械系统动力学CAE平台》软件专项,目前已开发出亚洲唯一的多领域物理统一建模平台Modelica/MWorks3.0,实现产品化、产业化在国内航空、航天、汽车、工程机械行业得到应用。
Introduction in English to come

Lecture Topic: to come

Abstract: to come
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Dr. Stephen Daniels
National Centre for Plasma Science and Technology, School of Electronic Engineering, DCU, Ireland

Dr. Stephen Daniels is a Senior Lecturer in the School of Electronic Engineering at Dublin City University. He is the Executive Director of the National Centre for Plasma Science and Technology and the Academic Director for the Sustainable Economies and Societies Research and Enterprise Hubs as DCU. He leads a large multidisciplinary research group in the areas of plasma technology, surface engineering, nanomanufacturing, systems design, and sensors. He has published over 200 papers in his field and holds 10 patents. He has successfully founded 6 technology companies.

 Lecture Topic: Design of Systems for Contamination Detection and Control

Control of environmental contamination is of critical importance in several sectors including healthcare, food production, pharmaceuticals, and nano-manufacturing amongst others. In each case the impacts of contamination events can vary in impact and the nature of the contamination itself is also important. Microbiological contamination is a particularly serious problem in healthcare settings as is can lead to increased infection rates amongst patients. Healthcare-associated infections (HCAI) affect approximately 5 -10% of patients admitted to an acute hospital. These infections include bloodstream infection (BSI), respiratory infection, surgical site infection and urinary infections. In a recent European survey of over 230,000 patients in nearly 1,000 acute hospitals, 5.7% of patients had a HCAI, of which Escherichia coli and Staphylococcus aureus were the commonest causes. In the USA, a survey of 11,282 patients in 183 hospitals found that 452 (4%) had one or more infections and when extrapolating to all acute hospitals in the USA for 2011, it was estimated that there were 648,000 patients with 721,800 HCAI. These infections contribute to patient mortality, result in prolonged hospital stay and are expensive for healthcare systems worldwide. However, as the patient population becomes older, sicker and patients are infected with multi-drug resistant bacteria, the importance of effective prevention strategies increase, especially measures that are generic and that prevent many, irrespective of the microbe. Strategies to prevent the control of HCAI include:
• Minimising the impact of pre-disposing conditions, (e.g. control of diabetes mellitus)
• Early diagnosis and identification to prevent spread
• Effective treatment with antimicrobial agents
• Optimum professional practice, (e.g. optimal hand hygiene compliance
• Surveillance and the effective decontamination of the healthcare environment
In this talk I will discuss the design and implementation of devices, systems, and strategies based on emerging technologies for the control of HCAIs in clinical environments. In addition to discussing some important emerging technologies in detection and decontamination processes, I will examine technology adoption issues from an economic and product design perspective.

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Dr. Zoltán Rusák
Faculty of Industrial Design Engineering, Delft University of Technology, the Netherlands

Dr. Zoltán Rusák is an assistant professor at the Section of Computer Aided Design Engineering at the Faculty of Industrial Design Engineering, Delft University of Technology, The Netherlands. He obtained his master degree in the field of mechanical engineering from the Budapest University of Technology and Economics in 1998. He earned his PhD in Computer Aided Design Engineering from the Delft University of Technology in 2003. His research interest includes computer support of geometric modeling, use process simulation in virtual reality environments, and mobile, portable and ubiquitous computing for design applications. He is the general secretary of the Tools and Methods of Competitive Engineering biannual symposia.

Lecture topic Enhancing context and user awareness of cyber physical systems for personalized human system interaction

Personalization of services has been in the focus of research on human computer interaction in the last decade. It was shown that e-learning and e-commerce solutions that are capable to adapt to specific needs of their user and to their context of application can provide more efficient and reliable services. Yet, challenges and opportunities of personalization are not fully understood in wider contexts of application other than e-learning and e-commerce. Our paper aims to explore these challenges in order to understand how user and context awareness can improve the personalization of interaction with complex systems. In this paper, we offer a concise review of the current trends, methods and techniques of personalization, we provide a general framework for personalizing human system interaction, and we present two case studies. The paper concludes on opportunities and challenges of personalization of human system interaction.

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Professor Peihua Gu

Vice-Chancellor of Shantou University

Peihua Gu is currently Vice-Chancellor of Shantou University, China. Prior to joining Shantou University, Dr. Gu was Head of the Department of Mechanical and Manufacturing Engineering (1999-2005), Associate Dean, Faculty of Engineering (1997-1999), the University of Calgary. He is an elected Fellow of Canadian Academy of Engineering (June 2004) and elected Fellow of International Academy of Production Engineering-CIRP (August 2004).Dr. Gu was Chang Jiang Scholar Chair Professorship. He was twice awarded Industrial Research and Design Chair Professorships by the Natural Science and Engineering Research Council of Canada (NSERC) in 1995 and 2000 respectively. He was recipient of the 2011 Leading Talent of Guangdong Province, China.

As Head of Department of Mechanical and Manufacturing, the University of Calgary, Dr. Gu led the Manufacturing Engineering program to win the 2003 Society of Manufacturing Engineers (SME) University LEAD Award. 

Dr. Gufirst introduced international CDIO (Conceive-Design-Implement-Operate) engineering education initiative to Shantou University, China in 2005. Currently, he is Chairman of Chinese Pilot Implementation Committee and Research and Application Committee of CDIO, Ministry of Education. CDIO engineering education initiative has been adopted in many universities in China.

Dr. Gu’s main research contributions include establishment of Adaptable Design Method and multi-process deposition method. He is an author and co-author of over 200 technical publications with a large number of citations. Dr. Gu has been an invited keynote or plenary speaker for a number of national and international conferences. He is a recipient of several awards and recognitions. including Joseph Whitworth Prize by Institution of Mechanical Engineers, UKthe Best Technical Paper Award of 11th CIRP Design Conference in Korea and several other research awards.

Dr. Gu is currently a member of the 6th Advisory Council for Engineering and Materials, and 1st Advisory Council for International Cooperation, the National Natural Science Foundation of China, He is Vice Chair of Mechanical Engineering of Educational Supervisory Committee of Ministry of Education, Chairman of Accreditation Decision Review Committee of China Engineering Education Accreditation Association (CEEAA) , and serves on a member of international and national professional organizations.

Lecture Topic: Open Adaptable Design for Facilitating Mass Innovation


In discrete product manufacturing, the capability and capacity of innovation is critically important for manufacturing competiveness in the global marketplace. Mass innovation calls for individuals and companies, whoever capable, to take initiatives and/or engage in innovation practices in any way possible in order to create innovation-driven new industries and economy. For product manufacturing industries, mass innovation encouragesany individuals and/or companies with innovation capability to participate in product design and manufacturing processes. As the design is the most innovative/creative stage in product lifecycle, public access and participate in the product design process are the key to mass innovation in product development. This presentation will describe an open adaptable design method which enables and facilitates the public and third party companies involve in the design process, leading to mass innovation in product design and manufacturing by incorporating new developments in modules/components design and integrations of technologies from different sources. Examples will be used to illustrate this new design method.

Keywords: product design, open adaptable design, mass innovation

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Professor Hong Jun 洪军教授
Associate Dean of Mechanical Engineering School, Xi’an Jiaotong University

Professor Jun Hong was born in Mudanjiang, Heilongjiang Province in 1968. He received B.E. in Mechanical Engineering from Taiyuan Mechanical Institute (i.e. North University of China) in 1989. He received M.E. and PhD in Mechanical Engineering from Xi’an Jiaotong University in 1994 and 2001 respectively. From 1989 to 1991, he worded in The First Machine Factory in Harbin. From 1994 to the present he has worked as an academic in the School of Mechanical Engineering at Xi’an Jiaotong University. He was promoted to Professor in 2004. Now he is the Executive Dean of the Scholl of Mechanical Engineering and a Yangtze River Scholar. His research interests focus on Digital Design and Manufacturing Technology for High-End equipment. He has published articles in international journals, such as International Journal of Machine Tools & Manufacturer, ASME Journal of Heat Transfer, etc.

Lecture topic: A biologically inspired topology optimization method in engineering design

This report describes new opportunities in the application of natural growth principles in engineering optimization and some potential avenues to overcome challenges associated with the realization of these opportunities. In this report, research focus lies on a new topology optimization solution providing designers with choices for feasible stiffener layouts inside large-scale box structures widely used in different branches of technology. A growth-based layout optimization framework is built, taking inspiration from the clever morphology of plant ramifications. The principles of the highly effective but individual design rules of existent leaf venation layout problems are explored and transferred into analytical laws. A new evolutionary algorithm is developed to simulate the load-adapted growth of stiffener layouts, yielding an approximately homogeneous stress distribution along the surface of self-optimizing structures. The unique features of the suggested method include its capability of releasing more flexibility in representing geometry and topology change without mathematical sophistication. Unlike the conventional topology optimization design methods, connectivity of the candidate stiffener plates is extremely arbitrary in the suggested method and each of them is allowed to move freely within the design domain so as to form a real optimal layout solution. It can act as a catalyst for innovative ideas in engineering optimization design.
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Professor Tan Runhua 檀润华

Vice-President of Hebei University of Technology 河北工业大学副校长

Tan Runhua is a professor and director of National Engineering Centre for Technological Innovation Method and Tool, School of Mechanical Engineering, Hebei University of Technology, PR China. He received his BSc and MSc in Department of Mechanical Engineering, Hebei University of Technology, in 1982 and 1984, and PhD in Department of Mechanical Engineering, Zhejiang University in 1998. He got a visiting scholarship from China government and Brunel University from 1994 to 1995 in UK. He is the author or co-author of 150 journal papers. He has been a member of the editorial board for both Chinese Journal of Mechanical Engineering and Computer Integrated Manufacturing Systems. Currently, his main research interests include design theory and methodology, TRIZ, innovation management, and design for mass customization.

Lecture topicThe challenge of research and application of TRIZ in China

In the past years TRIZ has been applied more and more in industries in China under attention of the government. The main method for the diffusion of TRIZ from universities to industries is the training innovative engineers. From the training program in nation wide many engineers from different region and companies study and apply TRIZ in the product design and manufacturing processes. The outcomes are not only innovative engineers but also many patents and new processes. But as a national wide activity some problems in the diffusion are faced now. The main challenge is how to integrate the TRIZ into the traditional R & D processes of different companies and industries. This study has developed a process model to integrate the TRIZ into a general process for new product developments.

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