SURESH KUMAR ARUMUGAM

About

Dr. Suresh Kumar Arumugam Graduated in Computer Science and Engineering (B.E) from Periyar University, India in 2003. Master’s (M.E) in Computer Science and Engineering from Anna University, India in 2010. He was awarded a Ph.D in Computer Science and Engineering from Anna University, Chennai in 2017. He has 18+ Teaching and Research experience in various institutions, and presently working as a Professor in the School of Computer Science and Engineering at Jain (Deemed to be University), Bengaluru. He has published 20 SCI articles and more than 30 Scopus articles in peer-reviewed journals. He has published 7 Indian patents and received 1 Innovation Grand patent from Germany Patent. He has actively participated as a reviewer in some of the international journals and senior member of IEEE, IAENG, and CSI societies. His main research interest is in the area of Wireless Sensor Networks, Internet of Things, Artificial Intelligence, and Machine Learning

Employment

• Jain University Professor
  2023 - Present
• Graphic Era Deemed to be University Professor
  2022 - Present

Education

• Anna University Ph.D
• Anna University ME
• Periyar University BE
• TNDTE DIPLOMA

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• An IoMT and Machine Learning Model Aimed at the Development of a Personalized Lifestyle Recommendation System Facilitating Improved Health
  2023 DOI: 10.4018/978-1-6684-6894-4.ch009
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• Automatic facial expression recognition combining texture and shape features from prominent facial regions
  IET Image Processing 2023 DOI: 10.1049/ipr2.12700
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• A Novel Energy Efficient Threshold Based Algorithm for Wireless Body Sensor Network
  Energies 2022 DOI: 10.3390/en15166095
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• Secure blockchain enabled Cyber- Physical health systems using ensemble convolution neural network classification
  Computers and Electrical Engineering 2022 DOI: 10.1016/j.compeleceng.2022.108058
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• Artificial intelligence-based electronic health records for healthcare
  Applications of Artificial Intelligence in E-Healthcare Systems 2022 DOI: 10.1049/pbhe040e_ch12
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• IoT Communication for Grid-Tie Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method
  Scientific Programming 2022 DOI: 10.1155/2022/5649363
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• Analysis And Implementation of a Novel AI-Based Hybrid Model for Detecting, Predicting and Identification Of COVID-19 Spread
  2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) 2021 DOI: 10.1109/icac3n53548.2021.9725778
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• Impact of the learning rate and batch size on NOMA system using LSTM-based deep neural network
  The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 2021 DOI: 10.1177/15485129211049782
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• Smartphone-Based mHealth and Internet of Things for Diabetes Control and Self-Management
  Journal of Healthcare Engineering 2021 DOI: 10.1155/2021/2116647
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• FPGA implementation of polar codes for low complexity decoder for high speed applications
  International Journal of Innovative Technology and Exploring Engineering 2019 DOI: 10.35940/ijitee.K2535.0981119
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