Gnanou Florence Sudha
Puducherry Technological University, Pondicherry Engineering College
About
Dr. Gnanou Florence Sudha holds a BTech and MTech degree in Electronics and Communication engineering and a PhD degree from Pondicherry Engineering College, Pondicherry University. Presently, she is working as a Professor in the Department of Electronics and Communication Engineering, Puducherry Technological University. She has 30 years of teaching and research experience and has published more than 75 research papers in the area of biomedical engineering and signal processing. She is a life member of ISTE, Biomedical Society of India and Optical Society of India and member of IEEE. Her areas of interest include development of AI models for medical diagnosis. She can be contacted at email: [email protected].
Employment
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Puducherry Technological University Professor1995 - Present
Education
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Pondicherry Engineering College Ph.D? - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (66)
- Design and Analysis of 30 GHz CMOS Low-Noise Amplifier for 5G Communication Applications Save
- Bayesian optimized GoogLeNet based respiratory signal prediction model from empirically decomposed gammatone visualization Save
- Novel optimized low power design of single-precision floating-point adder using Quantum-dot Cellular Automata Save
- Design and Analysis of CMOS Dynamic Comparator for High-Speed Low-Power Applications Using Charge Sharing Technique Save
- Hybrid Sparrow Search Optimization technique for quality of service cooperative routing in underwater acoustic sensor networks Save
- STQCA-FFT: A fast fourier transform architecture using stack-type QCA approach with power and delay reduction Save
- Single-Precision Floating-Point Multiplier Design Using Quantum-Dot Cellular Automata with Power Dissipation Analysis Save
- Instantaneous channel characteristics and progression factor based collaborative routing Save
- Novel approach to remove Electrical Shift and Linear Trend artifact from single channel EEG Save
- Hybrid algorithm for multi artifact removal from single channel EEG Save