4. (PerInt) Pervasive Intelligence in Engineering

Submission Guidelines & Important Dates

  • Paper Submission: March 17th, 2017 [Extended]
  • Paper Notification: March 24th, 2017 [Extended]
  • Camera-Ready Paper: March 31st, 2017
  • Registration Deadline: March 31st, 2017 See Registration Page

Paper submissions should follow PETRA'17 general guidelines found at www.petrae.org/submissions.html

Organizers

  • Prof. Nikolaos Doulamis

    National Technical University of Athens
    E-mail: ndoulam@cs.ntua.gr

  • Prof. Anastasios Doulamis

    National Technical University of Athens
    E-mail: adoulamc@cs.ntua.gr

  • Dr. Athanasios Voulodimos

    National Technical University of Athens
    E-mail: thanosv@mail.ntua.gr

  • Dr. George Athanasiou

    Institute of Communication and Computer Systems
    National Technical University of Athens
    E-mail: george.athanasiou@iccs.gr

Abstract

The recent advances in machine learning and artificial intelligence have brought about tremendous development to many areas of interest to the engineering community. Data-driven or domain-oriented engineering applications can benefit significantly from the latest developments in machine learning theories and methods, but may also promote the development of learning algorithms, optimization approaches, fusion techniques, novel hardware and network architectures. This progress, combined with an abundance of sensors and smart devices in today’s Internet of Things age, will enable pervasive intelligence, thus creating great possibilities in a vast array of application domains.

List of Topics

Topics of interest include, but are not limited to:

  • Machine learning (including deep learning) methods for engineering applications
  • Intelligent techniques for pervasive devices, wearable computers, RFIDs, sensor technology
  • Intelligent transportation systems
  • Smart urban spaces and smart homes
  • Situation awareness and intelligent context-aware computing
  • Intelligent social networking
  • Pervasive intelligence in critical applications (evacuation, urban search and rescue)
  • Pervasive intelligence in computer vision, robotics and automation
  • Cultural heritage preservation
  • Remote sensing, civil and geospatial engineering (hyperspectral imaging, mining, construction, seismic data processing, urban planning)
  • Environmental engineering (land management, sea/water monitoring)
  • Biomedical engineering (medical imaging, bio- and sensor informatics)

Goals

The workshop aims to bring together researchers, industry practitioners, and the community interested in intelligent pervasive technologies seen from an engineering point of view, thus providing them with a forum for presenting their latest research findings, ideas, developments and applications. Papers from research projects in the above areas are also welcome.

Authors of selected papers focusing on deep learning techniques for engineering applications will be invited to submit extended and improved versions to be considered for publication, subject to additional review, in a Special Issue of the Computational Intelligence and Neuroscience journal (Impact Factor: 0.430).