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portfolio

publications

Fast Deep Learning for Automatic Modulation Classification

Published in IEEE Machine Learning for Communications Emerging Technologies Initiatives (MLCETI), 2019

[ArXiv] [PDF] [Code] [Cite]

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

Ensemble Wrapper Subsampling for Deep Modulation Classification

Published in IEEE Transactions on Cognitive Communications and Networking (TCCN), 2020

[ArXiv] [PDF] [Code]

Recommended citation: Sharan Ramjee, Shengtai Ju, Diyu Yang, Xiaoyu Liu, Aly El Gamal, Yonina C. Eldar. “Ensemble Wrapper Subsampling for Deep Modulation Classification”. Submitted to IEEE Transactions on Cognitive Communications and Networking (TCCN), May. 2020

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

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.