Call for Paper

SIRS invites submissions containing original ideas that are relevant to the scope of the Symposium. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.

Special sessions dedicated to the topics related to SIRS are also envisaged: researchers interested in organizing a special session are invited to contact Symposium organizers.

All papers that conform to submission guidelines will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. Acceptance of papers will be communicated to authors by email.

The papers under regular and work-in-progress categories will be scheduled for oral presentation. Posters will be presented during sessions reserved for posters (Each poster session has two parts - a short oral presentation followed by display of poster).

Independently of the presentation type, all papers are included in the proceedings. All accepted papers will be published by Springer as a special volume in the prestigious Advances in Intelligent Systems and Computing Series . The proceedings will be available via SpringerLink digital library. To be published in the Conference Proceedings, an author of an accepted paper is required to register for the conference at the full rate.

All accepted papers MUST be presented at the conference by one of the authors, or, if none of the authors are able to attend, by a qualified surrogate.

We welcome submissions for SIRS-2017's Technical Program in the following areas and not limited to:

Track 1: Signal Processing

  • Acoustic and Vibration Signal Processing
  • Biomedical Signal and Image Processing
  • Cognitive Radio Signal Processing
  • Compressed Sensing, and Sparse Signal Processing
  • Digital Signal Processing for Space Applications
  • Distributed and Adaptive Signal Processing
  • Graph-Theoretic Signal Processing
  • Image, Video, and Multidimensional Signal Processing
  • Knowledge-based Signal Processing
  • Machine Learning for Signal Processing
  • Multirate and Wavelet Signal Processing
  • Musical Signal Analysis and Synthesis
  • Neural Signal Processing
  • Secure Signal Processing in the Cloud
  • Seismic Signal Processing
  • Statistical Signal Processing
  • Tensor Signal Processing
  • Signal Processing for Ad-hoc, Multi-hop, and Sensor Networks
  • Signal Processing for Big Data
  • Real-Time Signal Processing for Smart Devices
  • Signal Processing for MIMO Communications
  • Signal Processing for Nano- and Molecular Communications
  • Signal Processing for Optical Communications
  • Signal Processing for Security and Cryptography
  • Signal Processing for Smart Grid Communications
  • Signal Processing for Social Media Networks
  • Signal Processing for the Internet of Things
  • Signal Processing in Energy and Power Systems
  • Signal Processing In Genomics and Bioengineering
  • Signal Processing in Security Applications
  • Signal Processing Theory and Methods
  • Signal Processing on Image Quality Assessment
  • Signal Processing for Image Enhancement and Multimedia Processing

Track 2: Intelligent Recognition Techniques and Applications

  • Automatic Face and Gesture Recognition
  • Cloud-Based Object Recognition Systems
  • Defect Identification
  • Features Extraction and Selection
  • Fingerprint Identification
  • Intelligent Assistive Technologies
  • Intelligent Biometric Techniques
  • Intelligent Character Recognition
  • Intelligent Data Interpretation
  • Intelligent Document Recognition
  • Intelligent Emotion Recognition Systems
  • Intelligent Human-Machine Interaction
  • Intelligent Robots and Systems
  • Intelligent Transportation Systems
  • Intelligent Voice Recognition Systems
  • Speech Recognition and Speaker Verification
  • Intelligent Tutoring Systems
  • Digital Forensics and Intelligent Digital Watermarking
  • Computer Vision and Pattern Recognition
  • Data Analytics
  • Data Fusion Applications
  • Deep Learning
  • Image/Video Quality Assessment
  • Knowledge-Based Decision Support Systems
  • Mobile Computing and Applications
  • Multi-classifier Systems
  • Multimedia Language Processing
  • Nature Inspired Techniques
  • Social Media and Collective Intelligence
  • Source Localization, Classification and Tracking