Biography
Dr. S. Sathees Kumaran received PhD degree in Information and Communication Engineering . Currently he serves as a professor of ECE & Dean – R&D of Anurag University, Hyderabad. He served as guest editor for Inderscience and Emerald journals and volume editor for Springer conference proceedings. He has a research and teaching experience of 22 years in various designations. He received research five grants from Government and Private funding agencies. He received a DST funding of 1.16 Crores in the year 2022. He has published more than 50 research papers in WoS/SCI & Scopus journals and reputed conferences. He is a reviewer for IEEE, Elsevier, Springer, and reviewed more than 200 research papers. He also served as keynote speaker, advisory committee member and Session chair for IEEE/Springer international conferences.
Research Interests
- Signal Processing
- Digital Healthcare
- Machine Learning
Teaching Interests
Dr.S.Sathees kumaran, has a teaching experience of nearly 20 years in various academic positions. He delivered many guest lectures and conducted several hands on sessions in Digital Signal Processing, VLSI system design, Matlab for research, Simulink and NI LabVIEW. He taught under graduate and post graduate students in Digital Signal Processing, VLSI Design, Cloud computing, Signals and Systems, Communication systems, Machine Learning, Analog and Digital Communication, Advanced Digital Signal Processing, VLSI signal processing and Image processing. He has the design and tool expertise in Matlab, Simulink, Python, Verilog HDL programming, Xilinx Vivado, LabVIEW and NI biomedical toolkit. He prepared few course materials and laboratory manuals for the courses Digital Signal Processing, Matlab and its applications, Verilog HDL programming.
Selected Publications
- Rajakumar C, Satheeskumaran S. QRCP decomposition-based hybrid approach for fusion of visible and infrared images. Circuits, Systems, and Signal Processing. 2021 Dec;40(12):6146-72.
- Satheeskumaran, S., Venkatesan, C., & Saravanan, S. (2021). Real-time ECG signal pre-processing and neuro fuzzy-based CHD risk prediction. Int. J. Comput. Sci. Eng., 24(4), 323-330.
- Venkatesan, C., Karthigaikumar, P, Satheeskumaran, S Mobile cloud computing for ECG telemonitoring and real-timecoronary heart disease risk detection. Elsevier Biomedical signal Processing and Control, Vol. 44, pp. 138-145, 2018.
Selected Awards and Honors
- Received DST-STI funding of Rs. 1.16 Crores for the project “Programmable wood processing tools”
- Received seed money grant of Rs. 2 Crores from Anurag University
- Recognized as guest editor for Emerald & Inderscience journals
- Served as Conference chair for IEEE & Springer International conferences
- Established research laboratories in VLSI chip design and signal processing
External Profile Links
- Ph.D., Biomedical signal Processing (Information and Communication Engineering) Anna University 2016 First class
- M.E., VLSI Design Govt. College of Technology, Anna University 2009 First class
- B.E., Electronics and Communication Engineering University of Madras 2000 First class