Prof. Tzung-Pei Hong
Tzung-Pei Hong received his Ph.D. degree in computer science and information engineering from National Chiao-Tung University in 1992. He served at the Department of Computer Science in Chung-Hua Polytechnic Institute from 1992 to 1994, and at the Department of Information Management in I-Shou University from 1994 to 2001. He was in charge of the whole computerization and library planning for National University of Kaohsiung in Preparation from 1997 to 2000 and served as the first director of the library and computer center in National University of Kaohsiung from 2000 to 2001, as the Dean of Academic Affairs from 2003 to 2006, as the Administrative Vice President from 2007 to 2008, and as the Academic Vice President in 2010. He is currently a distinguished professor at the Department of Computer Science and Information Engineering and at the Department of Electrical Engineering, National University of Kaohsiung, and a joint professor at the Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan. He got the first national flexible wage award from Ministry of Education in Taiwan. He has published more than 500 research papers in international/national journals and conferences and has planned more than fifty information systems. He is also the board member of more than forty journals and the program committee member of more than six hundred conferences. His current research interests include knowledge engineering, data mining, soft computing, management information systems, and www applications.
Title: Data Mining and Computational Intelligence
Data mining discovers useful rules or patterns from a set of data. Its role is more and more important in the era of big data because it can provide compact and relevant knowledge instead of detailed data to users. Meanwhile, the research of computational intelligence has been very popular because it combines some intelligent approaches such as fuzzy logic, evolutionary computation and neural networks to make programs or systems effective and efficient, although the solutions may not be optimal. In this speech, I would like to link the techniques of computational intelligence and data mining together for different kinds of mining problems. Some extended topics are described and discussed as well.
Prof. Ho Tu Bao
Tu Bao Ho received his PhD degree from Pierre and Marie Curie University in Paris, France, in 1987. He is currently a Professor at School of Knowledge Science, Japan Advanced Institute of Science and Technology. His interests include machine learning, data mining, and computational biomedicine.
Title: Implementation and Exploitation of Electronic Medical Records in Vietnam: Opportunities and Challenges
Electronic medical records (EMRs) are digital versions of medical records traditionally written on papers. It is widely believed that EMRs are leading to an evolutional shift in healthcare and medical research, and is the core of e-health. However, implementation and exploitation of EMRs are still in its infancy with many challenges. This talk addresses current issues on EMRs, especially EMRs in Vietnam. A number of examples on using speech recognition for EMRs, EMR-based medical diagnosis or drug post-market study will be illustrated.
Prof. George K. Karagiannidis
George K. Karagiannidis is currently Professor in the Electrical & Computer Engineering Dept. and Director of Digital Telecommunications Systems and Networks Laboratory. He is also Honorary Professor at South West Jiaotong University, Chengdu, China.
His research interests are in the broad area of Digital Communications Systems and Signal processing, with emphasis on Wireless Communications, Optical Wireless Communications, Wireless Power Transfer and Applications, Molecular and Nanoscale Communications, Stochastic Processes in Biology and Wireless Security.
He is author or co-author of more than 450 technical papers published in scientific journals and presented at international conferences. He is also co-author of the book “Advanced Optical Wireless Communications Systems”, Cambridge Publications, 2012.
He was Editor in IEEE Transactions on Communications, Senior Editor of IEEE Communications Letters, and several times Guest Editor in IEEE Selected Areas in Communications. From 2012 to 2015 he was the Editor-in Chief of IEEE Communications Letters.
Dr. Karagiannidis is one of the highly-cited researchers across all areas of Electrical Engineering, recognized as 2015 and 2016 Thomson Reuters highly-cited researcher.
Title: Simultaneous Lightwave Information and Power Transfer (SLIPT) for Indoor IoT Applications
The era of Internet-of-Things (IoT) opens up the opportunity for a number of promising applications in smart buildings, health monitoring, and predictive maintenance. It is remarkable that most of the data consumption/ generation, which are related to IoT applications, occurs in indoor environments. Motivated by this, optical wireless communication (OWC), such as visible light communications (VLC) or infrared (IR), have been recognized as promising alternative/complimentary technologies to RF, in order to give access to IoT devices in indoor applications. However, due to the strong dependence of the IoT on wireless access, their applications are constrained by the finite battery capacity of the involved devices.
In this talk, for first time will be presented a framework for simultaneous optical wireless information and power transfer, which we call Simultaneous Lightwave Information and Power Transfer (SLIPT), and can be used for indoor IoT applications through VLC or IR systems.