Information Management

Lehtonen, Mikko, Dr.

Mikko Lehtonen

Dr. Mikko Lehtonen
Information Management
Scheuchzerstrasse 7
8092 Zürich

Phone: +41 44 632 8624
Fax: +41 44 632 1045

Mikko Lehtonen is a PhD candidate at the Swiss Federal Institute of Technology Zürich (ETH Zürich) since January 2006, and a senior researcher in Auto-ID Lab University of St. Gallen / ETH Zürich. He received his MSc (Tech) in 2006 from Helsinki University of Technology, Finland, with major in communications engineering and minor in telecommunications management. He also has a diploma from the multimedia communications department of the Eurecom Institute, Sophia-Antipolis, France, and reserve officer's rank from the Finnish Naval Academy. He has previously worked as a research assistant in the signal processing laboratory of the Helsinki University of Technology, and in the IDIAP research institute, Switzerland. Mikko's previous research topics include beamforming with antenna arrays and artificial intelligence and machine-learning techniques in speech recognition. His current research interests include technical and business aspects in the use of RFID in anti-counterfeiting and product-centric information management.

Research Interests


Refereed Journal Papers

Refereed Conference Papers

Book contributions

Other Publications

Research Projects

Auto-ID Labs ETH Zurich/St. Gallen

The Auto-ID Labs are the leading global network of academic research laboratories in the field of networked RFID. The labs comprise seven of the world's most renowned research universities located on four different continents.

Building Radio Frequency Solutions for the Global Environment (BRIDGE)

BRIDGE is a three year RFID application research and development project funded by the European Commission. The project consists of 31 global organizations including Sony, Nestle, Carrefour, BT and EPCglobal that collaborate on a series of business oriented clusters, technical developments and horizontal activities.

Stop Tampering of Products (SToP)

The SToP project aims at developing ambient intelligence-based and network-oriented systems for the efficient and secure authentication of products. It thereby helps to reduce the problems imposed by counterfeiting and product privacy.

Old Publications


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