摘要：Technology for managing the light spectrum in everyday life and in special applications is developing rapidly. This is happening as well in the color measurement and management as in the control of lighting. A third trend interesting here is the use of mobile devices and applications.
In the presentation, an overview will be given to the spectral imaging technology and current trends, use of spectral shaping in the LED based lighting technology and some examples of mobile applications in these areas.
报告人简介：Jussi Parkkinen is a Professor of Computer Science at the University of Eastern Finland, Finland. He specializes in spectral color science, lighting research and pattern recognition. He received his M.Sc. in medical physics in 1982 and his Ph.D. in mathematics in 1989, from the University of Kuopio, Finland. In 1989-1990 he was a visiting researcher at The University of Iowa, IA, USA, in 1990 a Visiting Professor at the University of Saskatchewan, Canada, in 1991-1992 Professor and the Head of Department of Computer Science at the University of Kuopio, Finland, in 1992-1998 Professor of Information Processing and in 1995-1998 Dean of the Department of Information Technology at the Lappeenranta University of Technology, Finland. Since 1999 he has been a Professor of Computer Science, in 1999-2005 the Head of Department of Computer Science, in 2006-2007 the Dean of Faculty of Science and in 2007-2009 the Vice Rector (research) at the University of Joensuu, Finland. He was in 2011-2014 the Head of Electrical and Computer Systems Engineering Discipline and in 2013 - 2014 the Deputy Head of School of Information Technology, Monash University Malaysia. He has been since 2011 a Guest Professor at the Tongji University, China and since 2014 an Adjunct Professor at the Monash University Malaysia. In 1995-1999 he was the chairman of the Finnish Pattern Recognition Society and he is a fellow of the International Association of Pattern Recognition (IAPR). He was the chairman of the CIE TC8-07 technical committee on Multispectral Imaging in 2004-2008. He is a recipient of the Raymond C. Bowman award by IS&T in 2013.