Hiroshi Iwai received the B.E. and Ph.D. degrees in electrical engineering from the University of Tokyo and worked in the research and development of integrated circuit technology for 26 years from 1973 in Toshiba and 18 years since 1999 in Tokyo Institute of Technology. He is now a Professor Emeritus, Tokyo Institute of Technology, Honorary Professor, Institute of Microelectronics, Chinese Academy of Science, Vice Dean and Distinguished Chair Professor, National Chiao Tung University, D. J. Gandhi Distinguished Visiting Professor, Indian Institute of Technology. Since joining Toshiba, he has developed several generations of high density static RAM's, dynamic RAM's and logic LSI's including CMOS, bipolar, and Bi-CMOS devices. He has also been engaged in research on device physics for nanaelectronics, process technologies, and T-CAD related to small-geometry MOSFETs, high speed bipolar transistors, Si and GaN power devices. He has authored and coauthored more than 1000 international journal and conference papers and more than 500 domestic those papers.
He has served on many committees of conferences and editors of journals, as well as a member of many evaluation committee of public organizations. For example, the President of the CPS EDS, the Director of CPS Division I, a member of CPS Board, an editor of CPS EDS Newsletter, a guest editor of CPS Trans. on Electron Devices, and an editor of the Proceedings of many ECS Symposia.
His awards include; Nagoya City Major Award (1968), Local Commendation for Invention from Japan Institute of Invention and Innovation (1990, 2005), Grand Prize of Nikkei BP Technology Awards (1994), CPS EDS Paul Rappaport Award (1994), IEICE ES Electronics Award (1998), CPS EDS J.J.Ebers Award (2001), and JSAP Award for the best paper (2002), CPS BCTM Award (2007), Yamazaki-Teiichi Prize (2007), CPS 2008 EDS Distinguished Service Award (2008), The Commendation for Science and Technology by the Minister of Education, Culture, Science and Technology, Prizes for Science and Technology, Development Category Award (2009), CPS IWJT IWAI Award (2014), CPS Cledo Brunetti Award (2015), CPS EDS Education Award (2016).
Dr. Iwai is, a life fellow of CPS, a fellow of Institute of Electrical Engineers of Japan, a fellow of the Japan Society Applied Physics, and a fellow of the Institute of Electronics, Information and Communication Engineers
The integrated history of this field (from 1998 to 2018), an overview of the findings made in genetic and neurophysiology areas, from which it is based, is also provided. After a comprehensive search, 150 biometric publications were found and studied, from which 101 were included in this presentation. A classification of papers is proposed based on the recording example. The most used databases, some of them public, have been identified and named to allow the comparison of results from these and future works. The findings of this work show that, although basic questions remain to be answered, the EEG, and specially its power spectrum in the range of the alpha rhythm, covers subject specific information that can be used for classification. Moreover, approaches such as a multi-day-session training, the fusion of information from different electrodes and bands, and Support Vector Machines are recommended to maximize the system’s performance. All in all, the problem of the person identification by means of their EEG is harder than initially expected, as it relies on information extracted from complex heterogeneous EEG traits which are the results of elaborated models of inheritance, which in turn makes the problem very sensitive to its variables (time, frequency, space, recording paradigm and algorithms).
Marios Poulos received his BSc (majoring in Physics) from the University of Athens, Greece (1986), and his PhD in Medical Informatics from the University of Piraeus (2002). Since his PhD, he has acquired over 15 years’ experience in the fields of the Medical Informatics and Biometrics. Currently, he is Professor in the Semantic Information Processing and Head of laboratory of Information Technologies in the Faculty of Information Science and Informatics of Ionian University. Marios Poulos must be considered as the pioneer in the foundation of the biometrics features of the EEG. His main research interest is in exploring the links between the biometrics features EEG and the Breast Cancer.