Emerging Technology in Modelling and Graphics

Jyotsna Kumar Mandal, M.Sc.(Ph.), JU, M.Tech.(CS), CU, Ph.D.(Eng.), JU, Professor CSE, is former Dean of the FETM, and was KU for two consecutive terms. He has nearly 30 years of teaching and research experience, and has completed four AICTE and one state government project. He is a life member of the CSI, CRSI, a member of the ACM, and fellow of the IETE. He was also honorary vice chairman and chairman of the CSI. He has delivered over 100 lectures and organized more than 25 national and international conferences. He currently serves as an editorial board member and corresponding editor for the Proceedings of Science Direct, IEEE and other conferences, as well as guest editor of the MST Journal. He has published more than 400 research articles and six books. Dr. Debika Bhattacharya obtained her B.Tech. and M.Tech. in Radiophysics and Electronics from Calcutta University, and her Ph.D. in Electronics and Telecommunication from Jadavpur University. She is currently Dean (of Academics) at the Institute of Engineering and Management. She has more than 22 years of teaching and research experience, has published many papers in prominent journals and conference proceedings, and has completed 2 AICTE and 1 DST project. In 2018 she received the Venus International Foundation’s “Distinguished Leader” award in engineering.

Identification of Noise pollution prone regions in Mumbai using Expectation-Maximization Clustering Technique.- An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction.- Epileptic Seizure Recognition Using Deep Neural Network.- Graph-based supervised feature selection using correlation exponential.- A Sentiment Based Hotel Review Summarization.- Heuristic Approach for Finding Thresholding Value in Image Segmentation.- An Educational Chatbot for Answering Queries.- A Supervised Approach to Analyse and Simplify Micro-texts.- A short review on different clustering techniques and their applications.- An Efficient Descriptor for Gait Recognition using Spatio-Temporal Cues.