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Abstract
Smart item technologies, like RFID and sensor networks, are considered to be the next big step in business process automation. Through automatic and real-time data acquisition, these technologies can benefit a great variety of industries by improving the efficiency of their operations. SAP's Auto-ID infrastructure enables the integration of RFID and sensor technologies with existing business processes. In this paper we give an overview of the existing infrastructure, discuss lessons learned from successful customer pilots, and point out some of the open research issues. This talk will give an overview on the approach that was taken to implement a scalable and reliable Auto-ID Infrastructure. It will also elaborate on pilots in US and Europe and outline future research needs in the area of distributed systems to prepare for the next wave which is sensor network.
Biography
As part of SAP's Research team, Joachim is responsible for all strategic research programs in North America. Beginning in August of 2003, his primary areas of expertise include E-learning, Smart Items, Mobile Computing, Technology for Application Integration, and Advanced Customer Interfaces. Joachim began his career at SAP in 1999 as the head of the Campus-based Engineering Center (CEC) in Karlsruhe. As director for the EMEA region of the SAP Research team, he executed the transitioning of this group to SAP AG, then further expanded the team to locations in France and South Africa.
Prior to joining SAP, Joachim worked at the European Applied Research Centre (EARC) of Digital Equipment GmbH. From 1989 to 1997 he was responsible for user interfaces and object-orientated modeling and programming for teaching and learning systems. During that time, Joachim was a project manager of a four-year research program with Deutsche Telekom AG. In this role he developed broadband multimedia teleservices in association with other research associates and system manufactures including IBM, HP, Siemens, GMD, FhG, and TU Berlin.
Currently, Joachim is a member of the DFKI advisory board center for Artificial Intelligence, as well as a member of the advisory boards of various SMEs. He also represents SAP on the IST Advisory Board for the European Commission.
Joachim received his diploma in computer science in 1988 from the Technical University of Karlsruhe, and went on to receive his doctoral degree (Doctor of Natural Science) in 1995 as well. Joachim contributes to numerous academic events such as hosting seminars, practical training courses and lectures for the EU. He has written several publications for academic journal and congresses.