Kurzfassung:

Erfolgsfaktoren und Tipps für eine Karriere in der Industrie mit anschließender Diskussion.

Vortragende(r)

Ernst-J. Feicht (Jahrgang 1942) studierte Physik an den Technischen Universitäten München und Berlin, Promotion 1970. 1971 trat er in die Siemens AG ein. Bis 1979 entwickelte er dort Software für verschiedene Anwendungsbereiche.Von 1975 bis 97 hielt er öffentliche Seminare über Software Engineering und Projekt Management. 1996 lud ihn die Bundeswehr-Universität dazu ein, Vorlesungen über diese Themen zu halten. Wenig später folgte die TUM, dort seit 2002 Honorarprofessor. Beim MSCE arbeitet er von Beginn an mit. Von 2000 bis 2002 war im Programm der Bayerischen Eliteakademie vertreten. Seit 2005 ist er für die Carl-von-Linde Akademie aktiv.

Abstract

Innovation is one of the key enablers for European enterprises to compete in global markets. The term ‘innovation’ is constantly used in speeches of managers, politicians, public administrators. However, in the large majority of cases, the term is used as a generic ‚place holder‘, a sort of container whose actual content is left to the intuition. For this reason it is important to deeply elaborate, specifically on the notion of Enterprise Innovation, to better understand the essence and meaning of innovation.

Innovation stems from a virtuous mix of intuition, creativity, and a solid background knowledge. Each innovation endeavour has its own characteristics, largely different from previous experiences. It falls in the category of ‘wicked problems’, i.e., problems difficult to solve because of incomplete, fuzzy, changing requirements. Nevertheless, there are recurring patterns and it is possible to conceive systematic methods, and supporting information systems, to promote and manage innovation avoiding the risk to close it in a ‘cage’, risking depressing the fundamental creativity and fantasy. This talk will present an innovative framework for enterprise innovation that includes a methodology and an innovation management platform which is based on an generic behavioural pattern (i.e., independent of the industrial sector), a strong knowledge orientation, and an innovation monitoring system funded on a number of Key Performance Indicators, to constantly keep the progress of the innovation project under control.

Michele Missikoff – Founder and Scientific Advisor of the Laboratory of Enterprise and Knowledge Systems, and past Director of Research, at IASI (Institute for Systems Analysis and Informatics) of the CNR, Italian National Research Council; past director of the Center for Enterprise Knowledge at Free University of International Studies of Rome (UNINT) where he teaches Enterprise Information Systems. He is currently the Scientific Coordinator of the European Project BIVEE. Recently, he coordinated the European Task Force for the FInES (Future Internet Enterprise Systems) Research Roadmap 2025, in the DG INFSO of the European Commission. He managed and participated in more than 20 European and national projects. He has a long-time research experience in databases, knowledge representation, and semantic technologies. He served in resp. chaired Program Committees of primary international conferences such as CoopIS, VLDB, CAiSE, and EDBT and in the editorial boards of international journals,. He is co-founder and past president of the international EDBT Foundation. He authored more than 150 scientific papers.

More Details see at http://conferences.computer.org/cseet/2014/

More details see at  http://conferences.computer.org/cseet/2014/

Abstract: Highly local parallel computing and efficient memory management are emerging as key architectural concepts to continue increasing the performance of CMOS technologies despite physical limiting factors [1]. When it comes to vision systems, these concepts gain even greater relevance due to the nature of the information to be processed and the processing itself. Images contain a massive amount of data that must usually be analyzed under strict timing and power specifications. They require, at early processing stages, local interactions between pixels that can mostly take place in parallel. A distributed memory arrangement keeping topographical image information adapts seamlessly to such interactions. These particular features of low-level image processing demand to explore, for the sake of boosting performance, architectural solutions other than those based on conventional serial schemes. The industry is also pushing in this direction with the development of standards like OpenVX [2] calling for specialized vision hardware.

In this talk, the approach for smart imaging followed by the vision research group of the Institute of Microelectronics of Seville will be described. This approach focuses on the exploitation of the inherent characteristics of early vision as well as on an intensive use of distributed memory. Some of the latest vision chips designed by the group will be presented while highlighting the challenges to be addressed in the future. Finally, the need for a tight integration between hardware and software providing specifications at different levels will be proposed as the next step to boost the performance of vision systems.

BIOGRAPHY: Jorge Fernández-Berni was born in Córdoba (Andalusia, Spain) in 1981. He received the B.Eng. degree in Electronics and Telecommunication in September 2004 from the University of Seville, Spain. He then spent three and a half months at the Department of Instrumentation and Space Exploration of the Center for Astrobiology (CAB) in Madrid, Spain, granted by the Spanish National Research Council (CSIC). From January 2005 to September 2006, he was working in the telecommunication industry, first as a junior programmer developing remote database access software and later as head of department. In October 2006, he joined the Institute of Microelectronics of Seville (IMSE-CNM-CSIC) as a doctoral student, receiving the M.Sc. degree in Microelectronics in December 2008 and his Ph.D. in June 2011 with honors. He was visiting the Computer and Automation Research Institute (SZTAKI) of the Hungarian Academy of Science in Budapest for a term in 2010. There he worked in vision system integration with Professor Ákos Zarándy, current Head of  the Cellular Sensory and Optical Wave Computing Laboratory. Since February 2011, he holds a part-time Assistant Professorship at the Department of Electronics and Electromagnetism (University of Seville), where he also works as a full-time post-doctoral researcher.

Dr. Fernández-Berni is the leading author of over 25 papers in refereed journals, conferences and workshops. He is also the first author of a book and a book chapter. He received the Best Paper Award from the scientific commitee of „Image Sensors and Imaging Systems, SPIE Electronic Imaging 2014, San Francisco CA, USA“ and the Third Prize of the Student Paper Award from the scientific committee of „IEEE CNNA 2010: 12th Int. Workshop on Cellular Nanoscale Networks and their Applications, Berkeley CA, USA“. He also presented an invited paper at „SPIE Defense, Security and Sensing 2011, Orlando FL, USA“. He has served as a reviewer for different international journals and conferences. He has also served as an external consultant for the IEEE concerning on-line tools for scientific material management. He is member of the IEEE CASS Technical Committee on Cellular Nanoscale Networks and Array Computing.