Dr. Ryuichi Oka, President of the University of Aizu, Japan

Field Computation Architecture of Algorithms for Intelligent and Smart Pattern Processing
Abstract: In my talk, we propose a scope called field computation architecture as a scheme of hardware implementation. In the real world, there are two types of information. One is pattern information such as time signal, two-dimensional image, video composed of time and the two-dimensional image. Pattern information has its own intrinsic neighborhood relation between elements. Another one is symbol information such as natural language, the network of words, list of symbols, etc. Each element of symbol information has its own intelligent meaning rather than an element of pattern information. We consider in this talk only the processing of pattern information. In the field of pattern processing, field computation is frequently used for extracting features of pattern like edge, line, corner, filtering using a mask, etc. However, the conventional field computation provides microscopic or low intelligent entity in most of the cases. These field computations are regarded as a kind of pre-processing of the pattern. Then main algorithms including symbol processing are devised for final intelligent results by using the results of pre-processing. We focus on field computation algorithms realizing intelligent and smart pattern processing. In this talk, we show five algorithms and their smart functions and experimental results as references for considering new hardware architecture.
Biography: Dr. Ryuichi Oka graduated from a master course in mathematical engineering. University of Tokyo, Japan, March 1970 and worked for Electrotechnical Laboratory of Ministry and Industry and Trade from April 1970 as a researcher and received Dr. degree of engineering (1984) from The University of Tokyo. He stayed at National Research Council of Canada as a visiting scientist (July 1984 — June 1985). He worked for a ten-year national project of Japan called Real World Computing (March 1993 – March 2002) as a director of the division and a chief of the laboratory. His research areas include character recognition, speech recognition and retrieval, image retrieval, image processing, image understanding, computer vision (3D scene reconstruction from a video), data mining, data visualization, and mobile robot, drone network connected by cables, etc. He proposed a family of so-called Continuous Dynamic Programming for segmentation-free optimal matching between two sequence patterns, two two-dimensional patterns, two three dimensional patterns and two time-space patterns. These matching methods are widely used for researchers and making industrial products.

Dr. Chong-Min Kyung, Professor, Korea Advanced Institute of Science and Technology (KAIST), South Korea

Rolling up Asia vision through intertwining research and business development (R&BD) around smart sensor systems technology
Abstract: In this talk, I like to discuss the future prospect and vision of Asian business and research ecosystem rolled up through the role of smart sensors and systems, i.e., smart sensor systems. The journey of information as one crucial axis of human society, from the moment of sensing to targeted service, is served by a large variety of storage, processing, communication/networking and energy saving/harvesting technology. The mode of interaction of the involved techniques is so complex and dynamic, that the necessity of sharing a holistic view and handling of all research and business-related activities together seems now unquestionable. This talk proposes to start forming an environment for intertwined R&BD in this region of the globe, Asia where both problems and solutions exist dormant but in abundance.
Biography: Chong-Min Kyung received B.S. in EE from Seoul National University in 1975, M.S. and Ph.D. in EE from KAIST in 1977 and 1981, respectively. He joined KAIST in 1983 and has been working on CAD algorithms, 3-D graphics, and System-on-a-Chip design including  RISC/CISC microprocessors, VLIW and reconfigurable DSP cores. His current research includes system-level low-power design, electrical/thermal co-design in 3D IC, and especially cost-energy-rate-distortion optimization. He is founding Director of the IDEC (Integrated Circuit Design Education Center), and currently leads Center for Integrated Smart Sensors, funded as Global Frontier Project by Korean Government as a national initiative for developing various smart sensors covering bio/health, vehicular, and environmental applications. He received numerous awards in international conferences including ASP-DAC 1997 and 1998, Best Paper Awards in DAC in 2000, ICSPAT in 1999, ICCD in 1999, and ISQED in 2014. In 2000, he received National Medal from Korean government for his contribution to research and education in IC design. He is a member of National Academy of Engineering Korea and Korean Academy of Science and Technology. He is IEEE fellow.

Keynote III: TBC