Track 1

Track 1: Artificial Intelligence and Machine Learning

Track Chair:
Safa Otoum, University of Ottawa, Canada

Co-chairs:
●  Amjad Gawanmeh, Khalifa University, UAE
● Qassim Nasir, Sharjah University, UAE• Manar Abu Taleb, Sharjah University, UAE

Scope

Artificial Intelligence research has produced impressive results in the last years. Both academia and industry are actively working to advance in the long goal of creating sophisticated machines that can perform tasks usually better executed by humans. The methods to produce intelligent systems have been emerged from several sub areas, including search methods, intelligent agents, machine learning, knowledge representation, reasoning, among others. Successful applications areas include computer vision, social media, medicine, finances, linguistics, robotics, etc. We hope that this edition of the track Advances in AI can be a forum where researchers from academia and industry may exchange experience, new techniques, and theoretical advances to contribute in the realization of Artificial Intelligence.

The Track welcomes submissions related to the practical, applied, and theoretical issues related to developing and deploying Artificial Intelligent Systems. Authors are solicited to submit significant, original, complete, and unpublished papers in the following, but not limited to, topics:

Topics

• Machine Learning
• Deep Learning
• Cognitive Computing
• Knowledge Representation and Reasoning
• Search
• Planning
• Multi agent Systems
• Constraint Satisfaction
• Robotics and perception
• Distributed Problem Solving
• Economic paradigms and game theory
• Agent based simulation
• Communication, coordination and Argumentation
• Humans and Agents
• Mobile Agents
• Engineering Multi Agent Systems
• Verification and validation of agent based systems
• Self organized systems
• Multi agent in cloud computing
• Mobile computing
• Ubiquitous computing
• Security and multi agent systems
• Ambient systems
• Social and crowd computing
• Social network analysis and mining
• Social cognition and social intelligence
• Social media analytics.
• Social system design and architectures
• Mobile social computing.
• Social network and emotion/opinion recognition
• Artificial Intelligence Applications in security, sustainability, healthcare, smart cities, medicine, games, among others.

PC members
• TBA