Arumugam Suresh Kumar

Arumugam Suresh Kumar 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 has been awarded Ph.D in Computer Science and Engineering from Anna University, Chennai in 2017. He is having 18+ Teaching and Research experience in various institutions, and presently working as Professor in the department of Computer Science and Engineering at Jain (Deemed to be) University, Bangalore. He has published 20 SCI articles and more than 30 Scopus articles in peer reviewed journals. He has published 7 Indian Patent and received 1 Innovation Grand patent from Germany Patent. He has actively participated as reviewers in some of the international journals and member of IEEE, IAENG and CSI societies. His main research interest is in the area of Wireless Sensor Network, Internet of Things, Artificial Intelligence and Machine Learning.

Publications

Ubiquitous Computing and Technological Innovation for Universal Healthcare
Ubiquitous Computing and Technological Innovation for Universal Healthcare
Arumugam Suresh Kumar, Geetha Ganesan, Ramesh Sekaran, Batri Krishnan, N. V. Kousik. © 2024. 320 pages.
The current healthcare system faces complications including data acquisition, interpretation, and delivery challenges, particularly in out-of-hospital scenarios. The shortage of...
Dynamics of Swarm Intelligence Health Analysis for the Next Generation
Dynamics of Swarm Intelligence Health Analysis for the Next Generation
Arumugam Suresh Kumar, Utku Kose, Sachin Sharma, S. Jerald Nirmal Kumar. © 2023. 273 pages.
In today’s world, smart healthcare supports the out-of-hospital concept, which transforms and offers higher care standards. This is accomplished with individual requirements with...
An IoMT and Machine Learning Model Aimed at the Development of a Personalized Lifestyle Recommendation System Facilitating Improved Health
An IoMT and Machine Learning Model Aimed at the Development of a Personalized Lifestyle Recommendation System Facilitating Improved Health
Guru Prasad, A. Suresh Kumar, Sakshi Srivastava, Ananya Srivastava, Aditi Srivastava. © 2023. 24 pages.
The machine learning-based internet of medical things (IoMT) has recently gained traction in the healthcare industry because of its ability to reduce costs while simultaneously...