Intelligent Technologies: Concepts, Applications, and Future Directions / Studies in Computational Intelligence Bd.1028 (PDF)

Satya Ranjan Dash is currently working as an associate professor at KIIT University, India. His current research includes epileptic seizure detection based on EEG signal through spiking neural network (SNN), classification of schizophrenia patients from EEG and fMRI using SNN and SSN, fetal heart rate signals classification through extreme learning machine (ELM), mammogram analysis with local binary pattern (LBP), and generative adversarial network (GAN) model.

Manas Ranjan Lenka is working as an assistant professor in KIIT University and has around 17 years of experience, out of which 9 years of industry experience in telecom software developments and 8 years of teaching experience. His current research topic is wireless sensor networks.
Kuan-Ching Li is currently a professor in the Department of Computer Science and Information Engineering at the Providence University, Taiwan. Dr. Li is the editor-in-chief of technical publications in International Journal of Computational Science and Engineering (IJCSE), International Journal of Embedded Systems (IJES), and International Journal of High Performance Computing and Networking (IJHPCN), all published by Interscience, also serving a number of journal's editorial boards and guest editorship. His topics of interest include networked computing, GPU computing, parallel software design, and performance evaluation and benchmarking. Dr. Li is a fellow of the IET and a senior member of the IEEE.
Esaú Villatoro Tello is currently a full-time professor-researcher at the Universidad Autónoma Metropolitana Unidad Cuajimalpa (UAM-C) in Mexico City. From September 2019 to date, he is a visiting professor at Idiap Research Institute, in Martigny, Switzerland. His main research interests are associated with natural language processing (NLP) and computational linguistics topics, specifically he has done research on the topics of authorship analysis and authorship attribution, thematic and non-thematic text classification,