September 2nd - 5th, 2016, Robert Gordon University, Aberdeen
The proceedings will be published in the Springer series
Communications in Computer and Information Science
Workshop on Evolving Sensor Systems

The general availability of low cost sensors, short range radio technology and advances in wireless networking are enabling the wide spread use and deployment of sensors. Sensors are often deployed in so called smart systems where intelligent algorithms are employed to turn the data collected by the sensors into actionable insights, as well as to inform decision making. Sensors are deployed today in a wide variety of application areas for taking all sorts of measurements. Examples include environmental sensors that provide real-time measurements of weather, air quality and other environmental parameters; wearable sensors that provide measurements of body movement, posture and general well-being; as well as industrial sensors used in predictive maintenance to measure the condition of industrial machinery.

Traditional sensor-based systems are convenient for static world-models. However, the real-world is far from static and is often characterised by variety and dynamism. Evolving systems are inspired by the idea of system models that change and adapt in a dynamic environment. The aim of evolving systems is life-long learning and self-reorganisation in order to adapt to unknown and unpredictable environments through gradual change, system structure evolution and parameter adaptation.

Aims and Objectives

The main aim of this workshop is to bring together original research on evolving sensor systems. These are intelligent sensor systems that refine or evolve their knowledge in order to adapt to changing physical and environmental circumstances.


Topics will include but are not limited to:
  • Novel/Interdisciplinary Ideas
  • Applications of Sensor Systems (e.g. Medical, Environmental, Transport)
  • Wearable Sensors
  • IoT
  • Context Awareness, Situation Awareness, Ambient Intelligence
  • Evolutionary Systems
  • Bayesian Systems
  • Neural Networks and Deep Learners
  • Machine Learning
  • Knowledge Refinement
  • Transfer Learning
  • Prof Chrisina Jayne, Robert Gordon University
  • Dr Nirmalie Wiratunga, Robert Gordon University
  • Dr Sadiq Sani, Robert Gordon University
  • Dr Stewart Massie, Robert Gordon University
Contact Email:


Authors are invited to submit electronic copies (PDF or MS Word) of extended abstracts of original contributions in English language. Please send abstracts to and specify the name of this workshop in your submission. Papers should be no more than 2 pages in LNCS Springer format. Detailed instructions for preparing the manuscript in the required format can be found at the Springer author’s information page. Accepted papers will be invited to submit to a special issue of the Evolving Systems journal by the end of October 2016.

Important Dates

  • Workshop date: 3rd September, 2016
  • Submission deadline: 24th June, 2016
  • Notification: 30th June, 2016
  • Registration deadline for authors: 6th July, 2016

Program Committee
  • Dr Andrei Petrovski, Robert Gordon University, Aberdeen
  • Dr Niall Twomey, University of Bristol
  • Dr Emma Tonkin, University of Bristol
  • Dr Prapa Ratadilok, De Montfort University, Leicester
  • Dr Juan Ye, University of St Andrews
  • Dr Sebastian Stein, University of Dundee


Registration fee for the workshop is 250 GBP. Participants will be able to join EANN conference sessions and activities. Information on how to register can be found on the conference registration page Registration