Special session 2:

Predictive Analytics using Artificial Intelligence (PAAI 2018)


Special Session Chair: Ali Bou Nassif

Department of Electrical and Computer Engineering, University of Sharjah (anassif@sharjah.ac.ae)


This special session is organised and supported by the University of Sharjah, UAE

Session Committee:

Mohammad Azzeh, Department of Software Engineering, Applied Science Private University, Jordan (m.y.azzeh@asu.edu.jo)

Qassim Nasir, Department of Electrical and Computer Engineering, University of Sharjah (nasir@sharjah.ac.ae)

Manar Abu Talib, Department of Computer Science, University of Sharjah (mtalib@sharjah.ac.ae)


The PAAI 2018 special session provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence for developing predictive models for different engineering applications. Artificial Intelligence models are efficient for handing complex prediction models due to their outstanding performance in handling large scale datasets with uniform characteristics and noisy data. Examples of PAAI 2018 topics of interest include building predictive models using Machine Learning to solve specific engineering problems such as regression and classification problems.

The aim of this work is to obtain a good perspective into the current state of practice of Artificial Intelligence to address various predictive problems. Some topics relevant to this session include, but are not limited to:

  • Biomedical image analysis/processing
  • Clustering
  • Decision Support
  • Support Vector Machine
  • Time Series
  • Decision Trees
  • Fuzzy Logic & Systems
  • Probabilistic Reasoning
  • Lazy Learning
  • Classification
  • Recommender Systems
  • Expert Systems
  • Artificial Neural Networks
  • Evolutionary Algorithms
  • Ranking Algorithms
  • Cognitive Processes
  • Evolutionary Computing
  • Swarm Intelligence
  • Artificial Immune Systems
  • Markov Model
  • Chaos Theory
  • Multi-Valued Logic
  • Ensemble Techniques
  • Hybrid Intelligent Models
  • Reasoning Models

Applied to:

  • Health Care Applications
  • Education
  • Cyber Security
  • Software Process and Performance
  • Software Cost Estimation
  • Software Reliability
  • Software Risk Management
  • Software Quality and Testing
  • Cloud Computing
  • Social Media
  • Business Applications
  • Sale Forecasting
  • Stock Market Forecasting
  • Weather Predictions
  • Bio-Medical Applications
  • Big data Applications
  • Intelligent Traffic Management
  • Image Processing
  • E-Government
  • Nuclear Engineering
  • Sustainable and Renewable Energy
  • Software Engineering
  • Biomedical Engineering
  • Mechanical Engineering
  • Civil Engineering
  • Electrical Engineering
  • Computer Engineering
  • Chemical Engineering
  • Industrial Engineering
  • Environmental Engineering