Plenary I:Dec. 3, 20199:00 -- 10:00ROOM: Junior Manhattan
Abstract:Recently, various simulation techniques have been developed. In addition, efficiency of analysis and model-based design have been also developed. On the other hand, the use of artificial intelligence technology is also remarkable. This paper is based on high-speed simulation technology. Furthermore, we will refer to the application to neural-based analog circuit synthesis technology.
Profile: Hideki Asai received the B.E., M.E., and Ph.D. degrees in electrical engineering from Keio University, Yokohama, Japan, in 1980, 1982, and 1985, respectively. In 1985, he was with the Department of Electrical and Electronics Engineering, Sophia University, Tokyo, Japan. He was an oversea researcher at Carleton University, Ottawa, ON, Canada, and Santa Clara University, Santa Clara, CA (1999–2000). Since 1986, he has been with Shizuoka University (Faculty of Engineering), Hamamatsu, Japan, where he is currently a Professor of the Research Institute of Electronics, involved with VLSI-CAD/CAE including signal/power integrity design & simulation technologies, electrical design automation (EDA), analog circuit design, and neural networks, and has published about 100 articles in peer-reviewed journals and more than 250 conference proceedings, and had a variety of collaborations with major companies, was selected as one of the leading researchers in Shizuoka University (2011-2013, 2014-2016). He is an author of the books, "Exercise Notes of Digital Circuits, CORONA PUBLISHING. CO., LTD., 2001" and "Electronic Circuit Simulation Techniques, SCI TECHS PRESS, 2003." Dr. Asai is a member of the IEEE Nonlinear Circuits and Systems Technical Committee. He was secretary for the IEEE Circuits and Systems Society Tokyo Chapter (1994–1995), and secretary of the Technical Committee on Nonlinear Problems of the Institute of Electronics, Information and Communication Engineers (IEICE) (1997–1999). He was a chairman of the Technical Committee on Nonlinear Problems of the IEICE (2007–2008) and a chairman of the Technical Committee on System Packaging CAE of JIEP (2007–2009), and was an executive board member of JIEP. He was a general chair of the EDAPS2013 (Electrical Design of Advanced Packaging Systems Symposium 2013, Nara, Japan) and a guest editor of Special Section on Analog Circuit Techniques and Related Topics in the IEICE Trans. on Fundamentals issued in March, 2014, Special issue of the Analog Integrated Circuits and Signal Processing (ALOG) issued in Nov., 2015, and Special Section on Nonlinear Circuits and Systems and Their Applications in the NOLTA Journal, IEICE issued in Oct. 2017. Furthermore, he received the Prize for Science and Technology (Research Category) awarded by MEXT (Minister of Education, Culture, Sports, Science and Technology), and Takayanagi anniversary, in 2009, and outstanding paper award of ITC-CSCC2009, in 2010, and the best paper award at the APEMC2017, in 2017, respectively.
Plenary II:Dec. 4, 20199:00 -- 10:00ROOM: Junior Manhattan
Abstract: Haze is one of the major environmental issues that have continuously vexed countries worldwide, including Malaysia, for the last three decades. During haze episodes, particulate matter ( PM10 ) is found as the major pollutant. Commonly, the severity of haze is determined by analysing quantitatively the concentration. Persistent homology is a tool used in topological data analysis to extract essential topological features from the data set. It is robust under perturbations of input data, independent of coordinates and dimensions alike, and offers a solid representation of qualitative features of the input data. This technique has been applied in various fields such as neuroscience, finance, medical, material science and many more. This talk aims to provide evidence of the efficacy of persistence homology on environmental data. In particular, we present our findings on the differences between the topological features of months with and those without haze episodes observed at air quality monitoring stations in Malaysia located in the areas of Jerantut, Klang, Petaling Jaya and Shah Alam. The haze episodes were characterized by summary statistics which reveal drastic changes in the lifetimes of the topological features from every station during haze episodes. We shall also talk about the cluster analysis of haze episodes and specifically focussing on the effectiveness of adding topological features in clustering techniques.
- Ergodic Theory: Counting Closed Orbits, Higher Dimensional Subshift of Finite Type, Skew-Products
- Applied Dynamical Systems: Low-dimensional Modeling, Chaos Theory, Semi- numerical methods
- Analysis: Probabilistic metric spaces, Functional Analysis, Topology Administrative Duties:
- Head, Mathematics Department, UKM (1994 – 1998)
- Coordinator of distance learning program, UKM (2000 – 2002)
- Head, Mathematics Program, UKM (2002 – 2004)
- Chair, School of Mathematical Sciences, UKM (2007 – 2010)
- Deputy Dean, Faculty of Science & Technology, UKM (2010 – 2017) Editorial Work:
- Jurnal Sains Malaysiana – Editor
- Malaysian Journal of Mathematical Sciences – Editor
- The Scientific World Journal – Editor
- The Journal of Nonlinear Science & its applications – Editor