Keynote Speakers

Keynote 1

From Augmented Reality to Personalized Reality

by Kiyoshi Kiyokawa, Nara Institute of Science and Technology, Japan


Humans have acquired new capabilities by inventing various tools long before computers came up and mastering them as if they were part of the body. We put sunglasses if the sun is dazzling, and turn on the hearing aids if the sound is difficult to hear. Including both low-tech and high-tech, and analog and digital, we use various tools to manipulate and adjust the way we see, hear, and feel the real world. We can create “tools of the future” to manipulate the reality with high flexibility, by making full use of various advanced technologies such as virtual reality (VR), augmented reality (AR), context awareness, computer vision, and machine learning. In particular, by manipulating various sensations such as vision, we aim to live more conveniently, more comfortably, or more securely by offering “personalized reality” which empathizes each person. Through such information systems, we can realize an inclusive society where each individual can maximize his or her abilities and help each other.

In this talk, I will introduce my research background particularly on head mounted displays for augmented reality, the concept of “personalized reality”, then recent research activities and future directions on vision augmentation using head mounted displays as one form of personalized reality.

Speaker’s bio:


Kiyoshi Kiyokawa is a full professor at the Nara Institute of Science and Technology, where he leads the Cybernetics and Reality Engineering Laboratory. Previously, he was a Research Fellow of the Japan Society for the Promotion of Science in 1998, a researcher at the Communications Research Laboratory (current National Institute of Information and Communications Technology (NICT)) from 1999 to 2002, a visiting researcher at the Human Interface Technology Laboratory at University of Washington from 2001 to 2002, and an Associate Professor at Cybermedia Center, Osaka University from 2002 to 2017.

He has been involved in organizing various IEEE and ACM conferences, such as the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), IEEE Virtual Reality, IEEE International Symposium on Wearable Computers (ISWC), IEEE Symposium on 3D User Interfaces (3DUI), and ACM Virtual Reality Software and Technology (VRST).



by Christophe Rosenberger, Normandy University, France


Behavioral biometrics is more and more used in order to recognize/profile users on Internet. It is possible to analyze the way you interact with a mouse, a keyboard, a touch screen and to get some unique signatures from your browser or computer. These data are collected every minute by top digital services in the cyberworlds like social networks. Many applications are concerned, such as security (authentication, fraud detection), marketing (targeted advertisement), and psychology (emotion detection). The need of privacy protection is important as these data could reveal surprisingly many personal information (gender, age).

In this talk, I will illustrate the research works in this field with demos and show that it is possible to provide useful and privacy compliant information to digital services.

Speaker’s bio:


Christophe Rosenberger obtained his PhD in Information Technology from the University of Rennes 1 in 1999. His PhD thesis work was undertaken at ENSSAT in Lannion between 1996 and 1999 in the field of hyperspectral image segmentation. He joined the ENSI de Bourges school of engineering in Bourges (known as INSA Centre Val de Loire) as assistant professor in 2000. In 2007, he joined the ENSICAEN school of engineering in Caen as full professor. He is actually vice-director of the GREYC research lab composed of 200 members. He belongs to the e-payment and biometrics research unit in the GREYC research lab.

His current work focuses in the domain of computer security, in particular research activities in biometrics (keystroke dynamics, soft biometrics, evaluation of biometric systems, fingerprint quality assessment…). He has authored or co-authored over 200 publications among 16 book chapters, 35 international journals and 2 international patents. Since 2015, he serves as Vice-president at Normandy University in charge of the coordination of digital services in Normandy.

Keynote 3

Internet-based Design Informatics in New Product Development

by Chen Chun-Hsien, Nanyang Technological University, Singapore


Information and Communications Technology (ICT) and the Internet of Things (IoT) are transforming the world towards a digital society and economy where smart services address our future challenges in all areas of life including smart manufacturing and productivity. The recent wide-spread usage of the Internet by consumers for information exchanges has provided a means for product developing companies to elicit real-time consumer intelligence. To tap on the massive amount of information on the Internet, computational toolsets that can extract and analyze customer-related data are necessary. In this regard, the future relevance of the research in design informatics has attracted academics with various backgrounds, mainly from the domains of computer science, artificial intelligence, cognitive science, product design and innovation, and consumer intelligence. With respect to a holistic view of design informatics in new product development, key challenges and future research directions are identified.

Speaker’s bio:


Chen Chun-Hsien is Associate Professor (tenured), Director of the Design Stream, and Deputy Director of MSc in Smart Product Design Program in the School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore. He received his BS degree in Industrial Design from National Cheng Kung University, Taiwan, MS and Ph.D. degrees in Industrial Engineering from the University of Missouri-Columbia, USA. He has several years of product design and development experience in the industry.

His teaching and research interests are in collaborative/human-centric/consumer-oriented product design and development, knowledge engineering, design sciences, engineering informatics and artificial intelligence in product/engineering design. He has more than 170 publications in these areas.

Prof. Chen has served as a Technical Reviewer for National Science and Technology Awards (Singapore), National Research Foundation of Korea, and a Judge for Pin Up Design Awards (Korea), an Advisory Board member (Singapore representative) for ISPE (International Society for Productivity Enhancement), an Advisory Committee member for the Design Disciplines of Shanghai Jiao Tong University and various international conferences held in USA, Europe, Brazil, China, Korea, Malaysia, Hong Kong and Taiwan. Prof. Chen has been appointed as Editor-in-Chief of Advanced Engineering Informatics (ADVEI), a SCI journal published by Elsevier, since January 2013. Besides ADVEI, he is an editorial board member of Recent Patents on Engineering, Heliyon, etc. He is/was a Shanghai Eastern Scholar (appointed by Shanghai Maritime University as an Eastern Chair Professor, 2011 – 2014), a Guest Professor of Tianjin University (since 2013), a Visiting Professor of National Cheng Kung University (2011), a Guest Professor of Shanghai Maritime University (since 2006), and Chaoyang University of Technology (2008 – 2010).

Keynote 4

Digital Technologies for Production and Training

by Prof. Dr.-Ing. Bodo Urban, Fraunhofer Institute für Datenverarbeitung IGD


Industry 4.0 is the European keyword for the digitization of the economic system. It addresses the current trend in automation and data exchange in manufacturing technologies based on cyber-physical systems and the vertical linking of production controlling systems as well as the horizontal linking of production units and enterprises.

Visual Computing is next to Internet of things, cloud computing and cognitive computing one of the enabling technologies for Industry 4.0.

The talk gives a short overview of Industry 4.0 and presents examples of visual computing technologies for digital assistance in production, maintenance and training.

Plant@Hand3D provides a technology for the design of interactive control stations for the supervision of production sites. It enables an intuitive access to operating figures.

Machine@Hand supports visual assistance for production and maintenance as well as training in 3D, AR and VR.

Speaker’s bio:


Bodo Urban is Professor of Multimedia Communication at the Computer Science Department of the University of Rostock and Site Manager at Rostock of the Fraunhofer Institute for Computer Graphics Research IGD.

He received a MSc (Dipl.-Math.) in Mathematics and a PhD (Dr.-Ing.) in Computer Science from the University of Rostock, Germany in 1978 and 1983, respectively. Until 1990, he was research associate at the Computer Science Department of the University of Rostock, 1991 he moved to the new founded Rostock Division of the Computer Graphics Center, and 1992 he became responsible for the new founded Rostock Division of the Fraunhofer IGD.

1998 he was appointed to Professor of Multimedia Communication at the Computer Science Department of the University of Rostock.

Bodo Urban is member of GI, ACM, IEEE and Eurographics. He is reviewer and member of many program committees of international conferences and workshops.

Bodo Urban is also member of several executive committees and advisory boards.

His teaching and research interests are in collaborative/human-centric/consumer-oriented product design and development, knowledge engineering, design sciences, engineering informatics and artificial intelligence in product/engineering design. He has more than 170 publications in these areas.

Industrial Talk 

AI Security and AI for Cybersecurity

by Terry Yin, Nanyang Technological University, Singapore


Deep Learning has achieved significant advancement in addressing a wide range of pattern recognition problems, e.g., NLP, computer vision, IoT signal filtering, therefore it has become the workhorse for applications ranging from self-driving cars to surveillance and cybersecurity defense of various types. However recent studies show that DL model based AI are vulnerable to adversarial attacks in the form of subtle perturbations to inputs that lead a model to predict incorrect outputs. Such perturbations are often too small to be perceptible, but can completely fool the DL networks. In this talk, the speaker will first present how DL can be applied to enhance cybersecurity in the first part, and then he will present a series of the adversarial attack methods in the second part, and then in the third part, he will introduce two categories of technologies that can prevent such attacks in deep learning training phase or detect such attacking surface using software testing phase.

Speaker’s bio:


Jianxiong Yin is a Deep Learning Solutions Architect with NVIDIA AI Technology Center. He obtained his bachelor and master degree from South China University of Technology (SCUT), China and Yonsei University, South Korea, in 2009 and 2012, respectively. While he was with Nanyang Technological University (NTU), he was awarded ACM SIGCOMM Travel Grant in 2013. Also in NTU he was a lead member of the Cloud3DView projects, and this project won ASEAN ICT Awards Gold Award and Datacenter Dynamics Award. His research interests include cloud computing, deep learning system, blockchain, mobile computing and wireless sensing.


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