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Design and Analysis of Artificial Intelligent Systems using Machine Learning, IoT and Nature-inspired Computing Systems Special Issue

Editorial Board
Special Issue Editors:
  • Manik Sharma (DAV University, India)+ BioDr Manik Sharma is MCA and UGC-NET qualified, and received his PhD degree in Distributed Query Optimization. He has more than 12 years of teaching experience, having previously worked as head of the Department of Computer Science and Application and officiating principal at Sewa Devi S.D. College, India. Currently, he is working as an Assistant Professor in the Department of Computer Science and Applications at DAV University, Jalandhar, India. His main research work focuses on query optimization, data mining, soft computing and machine learning. Currently, he is working in the area of data mining, machine learning and soft computing, with a specialization in the diagnosis of diseases and modeling of DSS query optimizers. The thrust area of his research is to improve predictive accuracy in early diagnosis of several fatal human disorders. He has published four books related to computer networks, internet applications, management information systems and database theory. In addition, he has published 25 research papers in various journals of international repute including some indexed by Scopus and Thomson Reuters. He also presented more than 10 research articles in various national and international UGC and IEEE conferences, and has given several talks on query optimization, data mining and health informatics. He is an active member of the international program committees, technical program committees, and advisory committees of several academic conferences.
Recent development in machine learning, Internet of Things (IoT) and nature-inspired computing techniques has lead to advancement in a range of smart and intelligent systems. These emergingtechnologies such as machine learning, cloud computing, Internet of Things and pervasive computing areassisting in designing better smart and artificial intelligent system for variety of domain such as healthcare, agriculture, banking, finance, test processing, optimization problems etc. This special issue is aiming to invite original and novel contributions and the state-of-the-art research along with exhaustive review on the challenges related to the need and design of smart and intelligentsystems designed using these three technologies.
  • Role of emerging nature-inspired computing techniques in Healthcare, Agriculture, Banking, Mechanical and Electronics Industry.
  • Design and role of IoT in designing innovative frameworks in different domains areas.
  • Fuzzy Logic and Rough Set Theory.
  • Applications of nature-inspired computing techniques, IoT and Machine Learning.
  • Need and applications of energy optimization.
  • Applications of emerging nature-inspired computing techniques in Bioinformatics and Bio-Engineering.
  • Sentiment analyzer using machine learning and natures inspired computing techniques.
  • Convergence of machine learning, IoT and nature inspired computing techniques in for designing Artificial Intelligence applications
Manuscript submission deadline:
August 30, 2019
Notification of acceptance:
October 30, 2019
Submission of final revised paper:
November 20, 2019
Publication of special issue (tentative):
January, 2020

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