Call for Doctoral Consortium

We invite Ph.D. students conducting research within the expansive tracks covered by IntelliSys to partake in the Doctoral Consortium (DC) of IntelliSys 2024. The DC serves as an invaluable opportunity for participants to engage closely with fellow Ph.D. students in their respective fields, fostering meaningful interactions.

Accepted PhD students will have the opportunity to present their work to peers attending the conference, in the form of oral presentations. However, the accepted abstracts will NOT be published/ included in the IntelliSys 2024 proceedings.

Important Dates

  • Submission Deadline: 15 February 2024
  • Acceptance Notification: 15 March 2024
  • Registration Deadline: 25 March 2024
  • Conference Dates: 5-6 September 2024

Submission Guidelines

Applications to the DC should be submitted as a PDF file (maximum of 7 pages), encompassing the following components:

  • Extended abstract (maximum of 4 pages, plus 1 page of references) summarizing the research problem under investigation, specific contributions made to date, and directions for remaining work. Please craft your extended abstract with a general AI audience in mind, introducing research motivation and approach at a level comprehensible to all IntelliSys attendees. Ensure to include enough low-level details for experts to understand your unique contributions. Please adhere to the IntelliSys paper format.
  • Curriculum vitae (maximum of 2 pages), including a comprehensive list of publications and your anticipated graduation date.

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Conference Tracks

Artificial Intelligence

  • Deep Learning
  • Large language models (LLMs)
  • Neural Networks
  • Fuzzy Logic
  • Computational Intelligence
  • Natural Language Processing
  • Data Science
  • Machine Learning
  • Biometrics
  • Sentiment Analysis

Computer Vision

  • Human Computer Interaction
  • Pattern Recognition
  • Image Processing
  • Intrusion Detection
  • Brain-Machine Interface
  • Autonomous vehicles
  • Signal Processing
  • Medical Diagnosis
  • Segmentation Techniques
  • Virtual Reality


  • Humanoid Robots
  • Space and underwater robots
  • Assistive Robots
  • Mobile Robots
  • Autonomous Systems
  • Human-Robot Interaction
  • Telerobotics
  • Walking and Climbing Robots
  • Robotic Automation
  • Robot Localization and Map Building

Intelligent Systems

  • Agents and Multi-agent Systems
  • Context-aware pervasive systems
  • Intelligent Transportation Systems
  • Internet of Things
  • Smart Cities
  • Geographic Information Systems
  • Big Data
  • Neuromorphic systems
  • Sensing and Sensor Networks
  • Affective computing