Speakers

Subhabrata Banerjee,

Professor, Department of Electronics and Communication Engineering, Institute of Engineering and Management, India

Biography: 

Dr. Subhabrata Banerjee is a Professor in the department of Electronics and Communication Engineering and Head in Innovation Entrepreneurship Development Cell (IEDC), Institute of Engineering & Management, Kolkata India. He was awarded National Scholarship by WBED, West Bengal Government. He received his M.Tech. and PhD degrees in Electronics and Telecommunication Engineering from renowned Jadavpur University, Kolkata, India. He initially worked as Programmer Analysist in Cognizant Technology Solution and then was working as Assistant Professor in the Department of Electronics and Communication Engineering at Future Institute of Engineering and Management, Kolkata, India and as Associate Professor in the same institution thereafter. He is now working as Professor in Institute of Engineering and Management since 2021. He was authored numerous articles published in prestigious journals including Wireless Personal Communication (Springer), Personal and Ubiquitous Computing (Springer), International Journal of Communication Systems (Wiley) and Institution of Engineering and Technology (IET, UK). He has published more than 30 papers in International Conferences and Journals of repute. He also published book chapter under IET, UK publication. He has published a book named Genetic Algorithms and Machine Learning for Python Programmers and Hands on Data Visualization Using Python. His current research interests include Communication and Coding Theory, Machine Learning, Robotics, IOT, Control System, and Evolutionary Algorithms, Soft Computation.

Speech Title: 

Convergence Behavior Analysis of Evolutionary-Computing Approach

Abstract:

A comprehensive research has been carried out in the arena of Soft-Computation since early nineteenth century. Numerous algorithms have successfully implemented to enhance the performance of the contemporary communication systems. Numerous traditional linear programming approaches neither can minimize the inherent intricacies in real world engineering difficulties nor can provide stable optimum values for multi-optima based rough surfaces. 
In nature, each and every phenomenon always tries to attain a stable state. Whether it is an ice cube in a glass of water or the flow of current through a circuit, a steady equilibrium is the desired end result for almost all events. To achieve this convergence, there are different criteria, one of them being Bounded Input Bounded Output (BIBO) technique, according to which a finite number of inputs gives a finite number of outputs within restricted time. In this context, all computer algorithms are given a finite number of inputs to give the outputs in finite time. 
Now, design of robust soft-computing algorithm along with its convergence behavior analysis and its application in modern communication system has been emerged as important area of research. Its ensemble analysis has drawn a significant attention due to its astonishing BER performances over the entire SNR region which is the most essential factor for modern communication systems.