FTC 2023 Call for Posters

Call for Posters

FTC 2023 is currently inviting poster papers for the conference. The posters track present an opportunity to publish late-breaking results, technical descriptions, smaller research contributions, works-in-progress and student projects in a concise and visible format. Accepted posters will be displayed in the conference venue, including a designated poster session, providing presenters with an opportunity to engage in discussion with other attendees around their research and indexing in the conference proceedings.

Authors are kindly invited to submit their poster papers as per the schedule below,

Important Dates

  • Submission Due : 01 May 2023
  • Acceptance Notification : 15 May 2023
  • Camera Ready Submission : 15 June 2023
  • Conference Dates : 2-3 November 2023
FTC 2023


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Poster Submission Guidelines

Authors are required to submit a poster paper. Poster papers should be minimum six pages, clearly describing the research questions addressed and their contribution to the research community.

The format for the poster paper should be as follows:

  • Statement of Topic: A short title.
  • Abstract (Description): The abstract is a short description of your poster.
  • Purpose — What was the intent or goal of the study? What did you want to learn?
  • Background/Significance — What was the problem and why was it important? What knowledge are you building on?
  • Method — What was the design? What was the sample? What instruments were used? How was data collected and analyzed?
  • Results — What were the findings?
  • Conclusions — What do the findings mean?

Draft posters will be requested after the acceptance of poster paper. All submissions should be anonymised and will be reviewed by an international panel of experts.

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Conference Tracks

Technology Trends

  • Internet of Things
  • Blockchain
  • 5G/6G Network Evolution
  • Edge Computing
  • Machine to Machine
  • Neuromorphic Systems
  • Robotics
  • Mobile Applications
  • Digital Transformation
  • Software Engineering and Quality

Artificial Intelligence

  • Deep Learning
  • Agents and Multi-agent Systems
  • Decision Making
  • Machine Learning
  • Large language models (LLMs)
  • Explainable AI
  • Digital Twins
  • Neural Networks
  • Pattern Recognition
  • Expert Systems

Computer Vision

  • Human Computer Interaction
  • Computer graphics
  • Image Processing
  • Geographic Information Systems
  • Video Analysis
  • Medical Diagnosis
  • Segmentation Techniques
  • Augmented Reality
  • Virtual Reality
  • Autonomous vehicles

Data Science

  • Data Mining
  • Big Data
  • Data Analytics
  • Support Vector Machines
  • Sentiment Analysis
  • Natural Language Processing
  • Fuzzy Logic
  • Data Warehousing
  • Data Fusion
  • Information Retrieval

Computing

  • Quantum Computing
  • Cognitive Computing
  • High Performance Computing
  • Distributed and parallel systems
  • Social Computing
  • Cloud Computing
  • Grid Computing
  • Human-centred Computing
  • Neuromorphic Computing
  • Complex Systems

Ambient Intelligence

  • Smart Cities
  • Smart Grids and Energy Networks
  • Sensing and Sensor Networks
  • Ambient Assisted Living
  • Smart Healthcare
  • Intelligent Transportation
  • Smart Services
  • Affective computing
  • Wearable Computing
  • Context-aware pervasive systems

Security

  • Privacy
  • Surveillance
  • Biometrics
  • Internet Security
  • Electronic Data Interchange (EDI)
  • Web Services and Performance
  • Cryptocurrencies
  • Cryptography
  • Secure Protocols
  • Cyber Security

e-Learning

  • e-Learning Tools
  • Mobile Learning
  • e-Learning Organisational Issues
  • Gamification
  • Collaborative Learning
  • Curriculum Content Design
  • Educational Systems Design
  • Virtual Learning Environments
  • Web-based Learning
  • Delivery Systems and Environments