Frontiers of ICT in Healthcare

Jyotsna Kumar Mandal, M. Tech. (Computer Science, University of Calcutta), Ph.D. (Engg., Jadavpur University) in the field of Data Compression and Error Correction Techniques and Professor in Computer Science and Engineering, University of Kalyani, India. Former Dean Faculty of Engineering, Technology & Management 2008-2012(two consecutive terms), 32 years of teaching and research experiences. Served as Professor, Computer Applications, Kalyani Govt. Engineering College for two years. Served as Associate and Assistant Professor at University of North Bengal for sixteen years. Life Member of Computer Society of India since 1992 and Life Member of Cryptology Research Society of India. Member of AIRCC. Honorary Chairman of CSI Kolkata Chapter 2016-17. Working in the field of Network Security, Steganography, Remote Sensing and GIS Application, Image Processing, Wireless and Sensor Networks. Domain Expert of Uttarbanga Krishi Viswavidyalaya, Bidhan Chandra Krishi Viswavidyalaya for planning and integration of Public domain networks. Chief Editor, Advanced Computing: An International Journal, Associate Editor (Guest), Microsystem Technologies, Springer, Chief Editor, CSI Journal of Computing, Editor of Proceedings of ETCS 2012, NIDS-98 and ERC-95 of CSI. Twenty-four scholars awarded Ph.D., four submitted till January 2017, and 8 scholars are pursuing for their Ph.D. degree. Published five books from LAP- Lambert Academic Publishing, Germany, and one book from IGI Global publishers, Indexed by Thomson Reuters. Total number of publications is more than 400 including 180 publications in various International Journals. Edited fifteen volumes as volume editor from Science Direct, Springer, CSI, etc., Organizing various international Conferences of Springer and Science Direct. Director, IQAC, University of Kalyani, Chairman, Center for Information Resource Management (CIRM), Kalyani University. He has successfully executed five Research Projects funded by AICTE, Ministry of IT Government of West Bengal. Department of Higher Education, Government of West Bengal conferred him the “Siksha Ratna” award in 2018. Prof. Debashis De earned his M.Tech. from the University of Calcutta in 2002 and his Ph.D. (Engineering) from Jadavpur University in 2005. He is the Professor and Director in the Department of Computer Science and Engineering of the West Bengal University of Technology, India, and Adjunct Research Fellow at the University of Western Australia, Australia. He is a Senior Member of the IEEE. Life Member of CSI and Member of the International Union of Radio science. He worked as R&D Engineer for Telektronics and Programmer at Cognizant Technology Solutions. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Herriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award during 2008–2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award both in 2005 at New Delhi and in 2011 at Istanbul, Turkey, from the International Union of Radio Science, Head Quarter, Belgium. His research interests include mobile cloud computing, green mobile networks. He has published in more than 250 peer-reviewed international journals in IEEE, IET, Elsevier, Springer, World Scientific, Wiley, IETE, Taylor Francis and ASP, 100 International conference papers, six researches monographs in springer, CRC, NOVA and ten text books published by Person education. He is Associate Editor of journal IEEE ACCESS, Editor Hybrid computational intelligence, Journal Array, Elsevier.

A method of genome sequence comparison based on a new form of fuzzy polynucleotide space.- Similarity Study of Spike Protein of Corona Virus by PCA Using Physical Properties of Amino Acids.- Identification of Humans by using Machine LearningModels on Gait Features.- Analysis of spread of COVID-19 based on Socio Economic Factors: A Comparison of Prediction Models.- Efficient Heart Disease Prediction using Modified Hybrid Classifier.- Continuous Speech Recognition in Hindi for Healthcare using Deep Learning.- Improving Mental Health through Multimodal Emotion Detection from Speech and Text Data using Long-Short Term Memory.- An unstructured mammogram analysis for feasible classification and detection of breast cancer using a convolutional approach.- MediFi : An IoT Based Health Monitoring Device.- Emotion Recognition from EEG Data Using Hybrid DeepLearning Approach.