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Posts by Collection
portfolio
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publications
Autonomous Motorsports Purdue (AMP)
Published in West Lafayette, Indiana, 1900
Purdue IEEE Computer Society (CSociety)
Published in West Lafayette, Indiana, 1900
Undergraduate Research Society of Purdue (UGRSP)
Published in West Lafayette, Indiana, 1900
Fast Deep Learning for Automatic Modulation Classification
Published in IEEE Machine Learning for Communications Emerging Technologies Initiatives (MLCETI), 2019
Recommended citation: Sharan Ramjee, Shengtai Ju, Diyu Yang, Xiaoyu Liu, Aly El Gamal, Yonina C. Eldar. “Fast Deep Learning for Automatic Modulation Classification”. IEEE Machine Learning for Communications Emerging Technologies Initiatives (MLCETI), Jan. 2019
Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection
Published in IEEE Signal Processing Advances in Wireless Communications (SPAWC), 2019
[ArXiv] [PDF] [Presentation] [Code] [Cite]
Recommended citation: Xiwen Zhang, Tolunay Zeyfi, Shengtai Ju, Sharan Ramjee, Aly El Gamal, Yonina C. Eldar. “Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection”. IEEE Signal Processing Advances in Wireless Communications (SPAWC), Jul. 2019
Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates
Published in IEEE Wireless Communication Letters (WCL), 2020
Recommended citation: Xingchen Wang, Shengtai Ju, Xiwen Zhang, Sharan Ramjee, Aly El Gamal. “Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates”. IEEE Wireless Communication Letters (WCL), Apr. 2020
Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination
Published in IEEE Letters of the Computer Society (LOCS), 2020
Recommended citation: Sharan Ramjee, Aly El Gamal. “Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination”. Submitted to IEEE Letters of the Computer Society (LOCS), May. 2020
Ensemble Wrapper Subsampling for Deep Modulation Classification
Published in IEEE Transactions on Cognitive Communications and Networking (TCCN), 2021
Recommended citation: Sharan Ramjee, Shengtai Ju, Diyu Yang, Xiaoyu Liu, Aly El Gamal, Yonina C. Eldar. “Ensemble Wrapper Subsampling for Deep Modulation Classification”. IEEE Transactions on Cognitive Communications and Networking (TCCN), Aug. 2021
talks
USB AHB-Lite
- USB Full-Speed Bulk-Transfer Endpoint AHB-Lite SoC Module facilitates bulk transfers of data from a USB Endpoint to a Host
- Coded in SystemVerilog with an emphasis on the ASIC design aspects with regards to the AHB-Lite Slave Interface, Data Buffer, Protocol Controller, USB RX, and USB TX that consist of the submodules for the SoC top-level module
QUEVIHN
- QUEVIHN is a Biomedical Robot that utilizes several sensors (Interfaced using an STM32F0DISCOVERY board) and deep learning classification algorithms to accurately diagnose a disease ailing a patient
- Lead a team of IEEE members that enabled the data collected from the robot’s frontend and hardware to communicate with the backend servers
Deep Neural Network Architectures for Modulation Classification using Principal Component Analysis
Published:
QoS Optimization with ML
Published:
Model Distillation
Published:
Food Locker
Published:
Context-Aware Skeleton-based Action Recognition via Spatial and Temporal Transformer Networks
Published:
A Machine Learning Driven Analysis of Private Equity Funding in Seed-Stage Healthcare Startups
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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