Arun Kumar Sangaiah
Also known as: A.K.Sangaiah
National Yunlin University of Science and Technology, Vellore Institute of Technology University, Anna University, Chennai
Research areas: Computer Science · Computer Networks and Communications · IoT and Edge/Fog Computing · Multi-Criteria Decision Making · Advanced Neural Network Applications
0000-0002-0229-2460
About
Prof. Arun Kumar Sangaiah received his Ph.D. from School of Computer Science and Engineering, VIT University, Vellore, India. He is currently a Full Professor with National Yunlin University of Science and Technology, Taiwan. He has published more than 300 research articles in refereed journals (IEEE TII, IEEE TITS, IEEE TNSE, IEEE TETCI, IEEE SysJ, IEEE SensJ, IEEE IOTJ, ACM TOSN) 11 edited books, as well as 1 patents (held and filed) and 3 projects, among one funded by Ministry of IT of India and few international projects (CAS, Guangdong Research fund, Australian Research Council) cost worth of 50000 USD. Dr. Sangaiah has received many awards, Clarivate Highly Cited Researcher, Yushan Young Scholar fellowship, PIFI-CAS fellowship, Top-10 outstanding researcher, CSI significant Contributor etc. Also, he is responsible for Editor-in-Chief, and Associate Editor of various reputed ISI journals. Dr. Sangaiah is a visiting scientist (2018-2019) with Chinese Academy of Sciences (CAS), China and visiting researcher of Université Paris-Est (UPEC), France (2019-2020).
Employment
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National Yunlin University of Science and Technology Professor - Yushan Young Scholar2022 - Present
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Vellore Institute of Technology Associate Professor2007 - 2024
Education
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VIT University Doctor of Philosophy (Ph.D)2009 - 2014
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Anna University Chennai Master of Engineering (M.E)2005 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (501)
- A rotating black hole in a Hernquist dark matter halo: horizon geometry, thermodynamics, and quantum emission Save
- Engineering the Quantum Era: From the Discovery of the Nobel Prize to a Technology Platform Save
- HydroFedNet: An Intent-Based Unified Federated Framework for Multisource Water Quality Monitoring Save
- A Neural Computing-Based Access Control Protocol for AI-Driven Intelligent Flying Vehicles in Industry 5.0-Assisted Consumer Electronics Save
- A Novel Deep Multi-Instance Convolutional Neural Network for Disaster Classification From High-Resolution Remote Sensing Images Save
- A robust incomplete large-scale group decision-making model for metaverse metro operations and maintenance Save
- A solution for resource allocation through complex systems in fog computing for the internet of things Save
- Dark-Side Avoidance of Mobile Applications With Data Biases Elimination in Socio-Cyber World Save
- Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things Save
- Decisioning-Based Approach for Optimising Control Engineering Tools Using Digital Twin Capabilities and Other Cyber-Physical Metaverse Manufacturing System Components Save
- Efficient Mobile Robot Navigation Based on Federated Learning and Three-Way Decisions Save
- Efficient task scheduling in cloud networks using ANN for green computing Save
- Enhanced Efficiency in Fog Computing: A Fuzzy Data-Driven Machine Selection Strategy Save
- Evaluating edge artificial intelligence-driven supply chain management platforms using collaborative large-scale fuzzy information fusion Save
- Forecasting Bitcoin Prices Using Deep Learning for Consumer-Centric Industrial Applications Save
- GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis Save
- HCNNet: hybrid convolution neural network for automatic identification of ischaemia in diabetic foot ulcer wounds Save
- Hyperautomation on fuzzy data dredging on four advanced industrial forecasting models to support sustainable business management Save
- Intelligent evaluation system for new energy vehicles based on sentiment analysis: An MG-PL-3WD method Save
- IoT-Enabled Deep Learning Algorithm for Estimation of State-of-Charge of Lithium-ion Batteries Save