In recent years, Computing emerges as an integral part of almost all the modern industries like Software Engineering, Computer Engineering, and Information technology. It is evident from the recent computing applications that it can easily encompass the design and development of various hardware and software architectures to be capable of structuring, managing and processing a different kind of information available in the emerging intelligent system architectures. With its ability to transform information, there exists a various number of smart computing applications like cloud computing, edge computing, ubiquitous computing, quantum computing, and social computing. Despite the hype, some areas of computing still need some research exploration. Electrical and Electronics Engineering is a field of engineering that generally deals with the study and application of electricity, electronics, and electromagnetism. The charge of EEE Department is to facilitate young Engineers with an associate degree with the space of professional skills necessary to accumulate technical exposure within the areas of Electrical and Electronics Engineering, to face the challenges of the longer term and modify them to search out innovative applications of Technology and nurture career improvement and develop human, social and intellectual qualities necessary for the success of the profession and also to reach the goal of Electrical Power for the development of our Country.

Computing Models and Applications

• Network Virtualization and Visualization
• Social Computing
• Soft Computing Algorithms and Models
• Smart Computing Architectures
• Ubiquitous / Pervasive Computing
• Cognitive Computing models
• High Performance Computing
• Evolutionary Computing
• Distributed and Parallel Computing
• Green Cloud Computing
• Smart Cloud Computing Architectures

Machine Learning and Optimization

• Artificial Intelligence
• Big Data Analysis, Security Issues in Big Data
• Cloud / Grid / Distributed Computing
• Cognitive Science
• Component Analysis
• Data & Knowledge Engineering
• Digital Image Processing
• Evolutionary Optimization
• Information Theoretic Learning
• Intrusion Detection/Prevention Techniques
• Multi Agent Systems
• Multimedia Technologies
• Optimization Technique
• Recent Trends in Machine Learning
• Robotics and Automation

Smart Network Science

• Artificial Neural Networks
• Sentiment Analysis
• Natural Language Processing
• Social Network Mining
• Computing in Mobile Ad hoc Networks
• Network Service-based Grid Computing
• Computing in Internet of Things
• Smart Vehicular Communication Models
• Computational Intelligence and Bioinformatics
• Computing Networks Ethics
• Mobile Information Systems
• Web Intelligence and Applications