Rangababu Peesapati
Indian Institute of Information Technology Design and Manufacturing, Kurnool, National Institute of Technology Meghalaya, University of Hyderabad, National Institute of Technology Goa
0000-0003-2645-7634
About
He obtained his Ph.D. in Electronics from Hyderabad Central University, Hyderabad in 2014. He has a teaching experience of over 10 years and research experience of over 11 years. He is currently working as an Associate Professor in the Dept. of Electronics and Communication Engineering, Indian Institute of Information Technology Design and Manufacturing Kurnool, Andhra Pradesh, India, He served more than 9 years as an Assistant Professor in the Dept. of Electronics and Communication Engineering, NIT Meghalaya, Shillong, Meghalaya, India. Prior to that, he had worked as an Assistant Professor at the National Institute of Technology GOA, His areas of research interest are Video and Signal Processing Hardware Architectures, VLSI Design, and Embedded Systems. and Machine learning
Employment
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Indian Institute of Information Technology Design and Manufacturing, Kurnool Associate Professor2023 - Present
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National Institute of Technology Meghalaya Assistant professor2014 - 2023
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National Institute of Technology Goa Assistant Professor2013 - 2014
Education
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University of Hyderabad Ph.D in Electronics Science2006 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (88)
- DSFF-Net: Depthwise Separable U-Net with Feature Fusion for Polyp Segmentation Towards Hardware Deployment Save
- LDFGastro-Net: Lite-DenseFuse Network for gastrointestinal disorders classification towards hardware deployment Save
- GCAPSeg-Net: An efficient global context-aware network for colorectal polyp segmentation Save
- A conceptual study on novel current mirror integrated cantilever (CMIC) mass sensor for micro-gram (μ g) range sensing applications Save
- Accelerated Curve Fitting Approach for Denoised NQR Signal Parameter Estimation Save
- Comparative Analysis of Pure Convolution Narrow U-Net for Colorectal Polyp Segmentation on GPU, CPU and FPGA Save
- Correction to: A conceptual study on novel current mirror integrated cantilever (CMIC) mass sensor for micro-gram (μg) range sensing applications (Microsystem Technologies, (2024), 30, 3, (263-275), 10.1007/s00542-023-05594-8) Save
- IoT based solar power forecasting using SSA-ELM technique Save
- IoT based Solar Power Forecasting using AMA-ELM Technique Save
- U-Shaped Xception-Residual Network for Polyps Region Segmentation Save