Staff Portal

Department

Electrical and Electronics Engineering

Designation

Assistant Professor

Qualification

M.E., (Ph.D)

Area of Expertise

Embedded Systems, Internet of Things

Short Bio

Mr. R. Sathish obtained his Master of Engineering degree in Applied Electronics from Kongu Engineering College, Perundurai, under Anna University of Technology, Coimbatore in 2010 and his Bachelor of Engineering degree in Electrical and Electronics Engineering from Vellalar College of Engineering and Technology, Erode, under Anna University, Chennai in 2007. He has over 14 years of teaching experience in various reputed institutions. At present, he is pursuing a Ph.D. at Anna University, Chennai. He has guided more than 20 undergraduate and 10 postgraduate projects and has received two project funding’s from Texas Instruments Limited. He has published eight research papers in various national and international journals and presented ten papers at various national and international conferences, receiving a Best Paper Award for one of his research articles.

Departmental Roles

Test Co-Ordinator, IIPC In-Charge,Mentor-II EEE,NACC Criteria-3 In-Charge

Journal Publications

1.R. Sathish and V. Kumar, “Comparative study of non-linear system modelling using artificial intelligent techniques” CIIT-International journal of artificial intelligence and machine learning- January-2011.

2.R. Sathish and E. Sam Edwin, “Microcontroller based soft switching for boost converter with improved THD” International journal of modern electronics and communication engineering- November-2013.

3.R. Sathish and C. Sangaralingam, “Design of surveillance robot with obstacle sensing and movement control using ARM controller” International journal of engineering research –online peer reviewed international journal- March-2014

4. R. Sathish and S. Dinesh Kumar, “Speed referencing for continuous hot rolling mill using FPGA controllers”, International Journal of innovative trends in Engineering-March 2016

 5. R. Sathish and V. Deepak Krishna, “FPGA based optimal position control for flying shear in hot rolling mills”, International Journal of innovative trends in Engineering-March-2016

6. R. Sathish and Dr.R. Muthukumar, “Energy Utilization and Prediction using Machine Learning for Improving EMS system: A Study Approach”, Turkish Online Journal of Qualitative Inquiry (TOJQI), July-2021

7.R. Sathish and Dr.R. Muthukumar, “Diagnosis of Alzheimer’s Disease Classification with EEG Signals in a Differential Computational Framework”, International Journal of Innovation Research in Computer and Communication, April-2024

8.R. Sathish and N. Sudha, “HEMS using Machine Learning and IoT in Energy Management”, International Research Journal on Advanced Engineering Hub (IRJAEH), June-2024

9.R.Sathish and Dr.R.Muthukumar, 2024, ‘Intelligent decision-making systems (IDMS) for detection and recognition of Alzheimer disease and persistence monitoring of patients’, in Journal of Mechanics in Medicine and Biology. https://doi.org/10.1142/S0219519424500428.

10. R.Sathish, R.Muthukumar,  K Dhivya, and  S.Karthikkumar,  “Deep Learning and IoT-Enabled Framework for Accurate Classification and Monitoring of Alzheimer’s Disease Based on EEG Signal Analysis”, 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) | 979-8-3503-5623-6/25/$31.00 ©2025 IEEE |  DOI: 10.1109/ICAECT63952.2025.10958882

National / International Conferences

12

Patent

Ultrasonic Nebulizer with Integrated Oxygen Feeder

Design No:429848-001         Date: 25/10/2024