Electrical Engineering and Computer Science

Artificial Intelligence

Artificial intelligence aims to infuse machines with human-like intelligence, such as the ability to perceive and learn from their environments and make decisions based on this knowledge. The AI faculty conduct research in a variety of areas in AI including machine learning, data mining, fuzzy logic and reasoning, heuristic search, optimization, adaptation and automation, and probabilistic modeling and inference.

Application areas

Artificial intelligence has many application areas such as:

  • Automation and Robotics
  • Autonomous Machines and Vehicles
  • Biomedical informatics
  • Computational Biology
  • Image Interpretation
  • Computer Security
  • Social and Information Networks
  • Cognitive Wireless Sensor Networks
  • Wearable Data Analytics
  • Many other applications to healthcare and education


students specializing in AI take classes such as

core Courses

Artificial Intelligence

Machine Learning

Biologically-Inspired Computing

Recommended Courses

Fuzzy Systems and Applications

Image Analysis and Computer Vision

Wireless and Mobile Networks

Social and Information Networks

Random Signals and Optimal Filters

Wireless Sensor Networks

Probabilistic Methods in Data Science

Pattern Recognition and Neural Networks



Faculty Members

Dr. Gursel Serpen (AI Leader)

Dr. Gursel Serpen’s research is in the areas of artificial intelligence and machine learning, and their applications in adaptation and automation, optimization, cyber security, bio-medical informatics, sensor networks and legal reasoning.

Dr. Devinder Kaur

Dr. Devinder Kaur’s research is in the areas of intelligent systems based on fuzzy logic, neural networks, bio-inspired algorithms, computer architecture, and parallel and distributed processing.

Last Updated: 2/15/23