Intelligent robotic systems are becoming essential for increasing Quality of Life (QoL) and keeping health for growing population of elderly people. In our research, in order to solve human health problems and support elderly people, we consider the design and implementation of omnidirectional robots. In this talk, I will introduce our results to show how omnidirectional wheelchair robots can support people with disabilities at home and at workplace. In our work, we also consider the use of the omnidirectional wheelchair robots for playing tennis and badminton. I also will present the application of omnidirectional robot as a mesh router in Wireless Mesh Networks (WMNs) in order to provide a good communication environment.

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Biography of Prof. Keita Matsuo

 

Almost every digital device either generates or consumes data in some form. The result is that the volumes of data collected grow exponentially each day. Data analytics proponents have mooted that it is now possible in some cases to actually predict future human behaviors based on data collected through tracking and various other means. On the other parallel, the question of privacy has become ever more important as users increasingly seek ways of guarding their personal data from exposure. This as such raises the question of what the distinction between privacy and security (data protection) is, and what the boundary between the two should be. For instance, the 2014 incident of a hacker faking the German minister of defense’s fingerprints was considered to be a security breach. However, a closer look at this issue highlights the fact that distinguishing between whether or not this was a privacy breach that enabled a security breach, or vice versa, does not have a straight forward answer. In this talk, I aim to explain why in my view privacy is different from security and, while though both privacy and security are mutually interdependent, why it is important to make the distinction. The talk will be supported by various examples to characterize privacy and distinguish it from security. At the same time, I will also explain why the two concepts are in fact two sides of the same coin.

Dr. Anne Kayem is a Senior Researcher/Lecturer at the Hasso-Plattner-Institute (HPI) for Digital Engineering, at the University of Potsdam, Germany. She completed her PhD in Computer Science at Queen’s University in Canada in 2009. Following her PhD, she held a Post-Doctoral position at the German Research Center for Artificial Intelligence in Bremen, Germany, from 2009 - 2010. She then moved to the University of Cape Town (South Africa) to take up a Senior Lecturer (Assistant Professor) position at the Department of Computer Science, which she held from 2010 – 2016. In conjunction, from 2013 – 2015, she also held the position of Coordinator of the HPI Doctoral Research School at the University of Cape Town (South Africa). Her research interests lie in the field of Data Security and Privacy with a focus on Data Privacy, Privacy Preserving Machine Learning, and Usable Security and Privacy. She has published several conference and journal papers, as well as books on the topics of Privacy and Information Security. In addition, she has served on the program committee for the AINA, DEXA, and ICISSP conferences, as well as the reviewer board for several well reputed journals in the field of data privacy. She is an associate editor for Parallel Processing Letters, and Elsevier Internet of Things - Engineering Cyber Physical Human Systems, and is a Senior ACM Member as well as a Senior IEEE Member.