• Christian Thomsen

    Associate Professor, Aalborg University

    Bio: Christian Thomsen is an associate professor at the Center for Data-Intensive Systems (Daisy) at the Department of Computer Science, Aalborg University, Denmark. His research interests include big data management, data lakes, business intelligence, data warehousing, and extract-transform-load processes. Title of presentation: Model-Based Storage and Management of Massive Sensor Timeseries Abstract of presentation: This talk will illustrate how IoT sensors can generate huge amounts of time series data, which cannot be handled with traditional data management technology. Therefore, much of the available data is not stored today. As a remedy, we will present how models can be used to represent the time series data efficiently within a guaranteed error bound.  

    Speaker for following sessions
    • Sankt Hans Torv & Nørrebros Runddel A
      01-12-2 -
      Organized by AAU

      Massive amounts of data is collected, for example from different types of sensors devices connected using Internet-of-things (IoT) technology or from monitoring of large-scale Internet services. Due to the massive amounts of data, much of it is unfortunately thrown away and not exploited today. The data needs to be collected, stored, queried, and analyzed on both edge and cloud platforms to solve important problems in many industrial domains, e.g., management of solar parks and wind parks to detect small variations or problems early.

      Program:
      Introduction and Scientific Talk: “Model-Based Storage and Management of Massive Sensor Time Series”, Christian Thomsen, Associate Professor, Dept. of Computer Science, Aalborg University
      Business Talk: “Communication and computation challenges from RES data”, George Konstantoulakis, CTO, INACCESS
      Business Talk: “What ModelarDB can do for your sensor data”, Christian Nygaard, CEO, ModelarData
      Scientific Talk: “Freshness on Demand in Real-Time IoT Systems”, Professor Petar Popovski, Dept. of Electronic Systems, Aalborg University
      Scientific Talk: “ByteSeries: an in-memory time series database for large-scale monitoring systems”, Professor Yongluan Zhou, Dept. of Computer Science, University of Copenhagen
      Scientific Talk: “Advanced data mining on big time series: correlation discovery and temporal pattern mining”, Assistant Professor Nguyen Thi Thao Ho, Dept. of Computer Science, Aalborg University

      Session coordinator: Christian Thomsen, Associate Professor, Dept. of Computer Science, Aalborg University
      Facilitator: Christian Thomsen, Associate Professor, Dept. of Computer Science, Aalborg University
      Managing and analyzing very large time series from IoT and sensors.
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