QIP 2019


This course will provide an essential background as well as recent developments in the field of Artificial Intelligence and Fuzzy Systems. Illustration of several challenges related to these fields will be discussed in this course along with their applications into various real-life problems like computer vision, condition-based monitoring, bioinformatics, transportation, industrial automation, flight parameter estimation, security, healthcare, etc. The main thing about traditional and computing methods is that as complex as they may seem, they’re still machine-like. They need a lot of domain expertise as human intervention is only capable of what they’re designed for; nothing more, nothing less, whereas for such applications, fuzzy logic shows a lot more promise. Artificial intelligence aims to create intelligent machines having certain traits such as reasoning, decision making, analytics, learning, planning, problem-solving, etc. Artificial Intelligence and Fuzzy Systems can deal with real-world applications more efficiently by embedding the learning models and facilitating uncertainties.

Course Coordinator

Nishchal K. Verma, PhD
Dept. of Electrical Engineering
Indian Institute of Technology Kanpur, India
For any query:
Email: 2019qip@gmail.com
Phone: 0512-2597007
Web: http://www.iitk.ac.in/idea/