SN
Sudha Natarajan
Tata Elxsi, Indian Institute of Technology Madras Research Park, Indian Institute of Technology Guwahati, Indian Institute of Technology Madras, SASTRA University, Thiagarajar College of Engineering
Employment
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Tata Elxsi2024 - Present
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Indian Institute of Technology Madras Research Park2023 - 2024
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SASTRA University Professor2018 - 2023
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Tata Elxsi Senior Technical Lead2015 - 2017
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XMOS Semiconductors Senior Embedded Engineer2012 - 2015
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Nanyang Technological University Assistant Professor2006 - 2011
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Indian Institute of Technology Madras Assistant Professor2003 - 2006
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VLSI lab, IIT Madras Project Officer2002 - 2003
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Center for High Performance Embedded Systems, NTU Post Doctoral Fellow2000 - 2001
Education
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Indian Institute of Technology Guwahati PhD1996 - 2000
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Indian Institute of Technology Madras MS1994 - 1996
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Thiagarajar College of Engineering BE1988 - 1992
Projects & Funding
Projects & funding information is unavailable.
Publications (30)
- MangoYieldNet: Fruit yield estimation for mango orchards using DeepLabv3+ with ResNet18 Architecture Save
- A regression network for bend angle prediction of a soft gripper via ultrasonic and bend sensor data Save
- SAR2NDVI: A pix2pix GAN for reconstructing field-level NDVI time series using Sentinel-1 SAR data Save
- TransCropNet: A multi-channel transformer with feature-level fusion for crop classification in agricultural smallholdings using Sentinel images Save
- AgriFloodNet: A dual patch CNN architecture for mapping flooded agricultural lands via bi-temporal multi-sensor images Save
- DeepFlood: A deep learning based flood detection framework using feature-level fusion of multi-sensor remote sensing images Save
- CocoNet: A Hybrid Machine Learning Framework for Coconut Farm Identification and Its Cyclonic Damage Assessment on Bi-Temporal SAR Images Save
- DeepRange: Deep-learning-based object detection and ranging in autonomous driving Save
- Fast and accurate on-road vehicle detection based on color intensity segregation Save
- Traffic sign recognition using weighted multi-convolutional neural network Save