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.