Research Update 2013 Auto-ID Labs Alexander Ilic, Florian Michahelles (ETH Zurich / Univ. of St. Gallen) Rahul Bhattacharyya (MIT) Shigeya Suzuki (Keio.

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Presentation transcript:

Research Update 2013 Auto-ID Labs Alexander Ilic, Florian Michahelles (ETH Zurich / Univ. of St. Gallen) Rahul Bhattacharyya (MIT) Shigeya Suzuki (Keio University) Mark Harrison (University of Cambridge) Daeyong Kim, Seong Hoon Kim (KAIST) Junyu Wang (Fudan University)

Slide 2 2 From tunnel to funnel vision: The strategic role of the Auto-ID Labs 1.Research on key opportunities Cross industry, strategic focus, relevant to stated user needs & challenges Long-term (2-3years) Demos, proof of concepts, managerial implications, publications / patents 2.Technology watch Analysis and recommendations from Labs (BOG, ARC, Discovery, B2C,..) Strategic consulting e.g. NFC, B2B2C,... 3.Annual strategic session Global Forum / Technology Day 4.IOT thought leadership Co-hosted events / conferences as publication outlets Outreach to broad audience, academia, and cross industry community

Slide 3 3 Technology Watch Funnel: What are the new big things 3-5 years out that GS1 needs to prepare for? Tech Watch Funnel: Anticipating the future

Slide 4 Research Opportunity Funnel: What are the new big things 3-5 years out that GS1 can use to shape the future? Research Funnel: Shaping the future

Slide 5 Round-table Presentations, Auto-ID Labs Research Tuesday, March 18, :30 AM - 8:45 AM #PresenterTopic 1Alexander Ilic Mobile and connected consumers: The opportunity of digital receipts 2Rahul Bhattacharyya Development of low-cost pervasive sensors for monitoring infrastructure and soil moisture 3Daeyong Kim EPC Network Architecture and the Internet of Things 4Mark Harrison Intelligent Products and Intelligent Warehouses 5Shigeya Suzuki An EPC based relief supply visibility system in disaster area 6Florian Michahelles How FMCG companies should run their facebook brandpages effectively 7Junyu Wang Internet of Things for food safety in China Open Discussion with Auto-ID Labs researchers