Knowledge Sharing Session on Technical Paper presentation & latest trends in Electronics & Telecommunications Engineering

The Department of Electronics and Telecommunication had its first Knowledge Sharing Session, under the R&D cell on November 24, 2020 from 3:30 to 4:30 pm in Seminar Hall 2 (first floor). The Knowledge Sharing Session initiative involves two activities namely a Technical Paper presentation and some recent trends whose main motive is to update Faculty members with the latest trends in Technology and Research.

Prof. Flavia Leitao briefed the audience about the importance and purpose of this activity under the R&D cell. The first session was taken up by Prof. Yeshudas Muttu and the second session by Prof. Mohini Naik.

Prof. Yeshudas Muttu presented an IEEE paper titled “Effective Face Detection, Feature extraction & Neural Network-based approaches for facial expression recognition”, under the Image Processing & Artificial Neural Network Domains. He began with the importance of facial expression recognition system & its scope in the future. Face detection and its feature parts using the Viola-Jones algorithm and some feature extraction algorithms were explained in detail. The presentation focused on comparative analysis of pixel-wise and modified Local binary patterns. Neural network-based approaches like Back Propagation Algorithm & Radial Basis Function Network for classification of facial expressions were explained.

Prof. Mohini Naik delivered a talk on recent trends in Millimeter wave applications. In her session, she explained the basics of electromagnetics, its spectrum and its applications. She also explained about recent 5G requirement and its impact on mankind. Further, in her presentation, she explained about the millimeter wave frequencies that can be used to design 5G antenna and other components, current research areas in mm wave band.

The event was encouraged by R&D Chair Dr. Varsha Turkar and coordinated by Prof. Flavia Leitao. Both the sessions were received with good feedback from the audience.