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M.A. Jabbar

M.A. JabbarDr. Jabbar is Professor and Head of the Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India. He obtained his PhD from JNTUH, Hyderabad, and Telangana, India. He has been teaching for more than20 years. His research interests include Artificial Intelligence, Big Data Analytics, Bioinformatics, Cyber Security, Machine Learning, Attack Graphs, and Intrusion Detection Systems. He has published more than 57 papers in various journals and conferences. He published 5 patents in machine learning and allied areas and one book, Heart Disease Data Classification using Data Mining Techniques (LAP LAMBERT Academic, 2019). He served as a technical committee member for more than 70 international conferences. He is Guest Editor for The Fusion of Internet of Things, AI, and Cloud Computing In Health Care: Opportunities and Challenges (Springer) Series, and Deep Learning in Biomedical and Health Informatics: Current Applications and Possibilities (CRC Press); Guest Editor for Emerging Technologies and Applications for a Smart and Sustainable World (Bentham Science); Guest editor for Machine Learning Methods for Signal, Image and Speech Processing (River Publishing). He is a senior member of IEEE, and Lifetime member of the Computer Society of India (CSI) and the Indian Science Congress Association (ISCA). He is chair of the IEEE CS chapter Hyderabad Section. He has also served as a member of the Machine Intelligence Laboratory, USA (MIRLABS) and USERN, Iran, and Asia Pacific Institute of Science and Engineering (APISE) Hong Kong. Read More Read Less

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Machine Learning Methods for Signal, Image and Speech Processing48 %
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The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care37 %
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The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care37 %
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The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity31 %
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Applied Machine Learning and Data Analytics37 %
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Machine Learning Methods for Signal, Image and Speech Processing48 %
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Applied Machine Learning and Data Analytics37 %
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Deep Learning in Biomedical and Health Informatics38 %
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Smart Urban Computing Applications48 %
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Proceeding of 2022 International Conference on Wireless Communications, Networking and Applications (WCNA 2022)36 %
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Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications36 %
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Semantic Models in IoT and eHealth Applications45 %
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Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications36 %
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Deep Learning in Biomedical and Health Informatics48 %
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Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019)37 %
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Tools, Languages, Methodologies for Representing Semantics on the Web of Things14 % NR
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Applied Machine Learning and Data Analytics
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Proceedings of the 2024 International Conference on Wireless Communications, Networking and Applications
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Proceedings of the 2023 International Conference on Wireless Communications, Networking and Applications36 %
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