CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Fast Deep Learning for Automatic Modulation Classification
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
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
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
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
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
at West Lafayette, Indiana,
Cov2GenX
at Stanford AIMI-HIAE COVID-19 Researchathon 2020,
Aspect-Target Sentiment Classification for Cyberbullying Detection
at Stanford, CA,
Histogram-Based Gradient Boosting Trees for Efficient Graph Learning with Wasserstein Embeddings
at Stanford, CA,
Image Data Augmentation for Plant Leaf Disease Classification Using Neural Style Transfer
at Stanford, CA,
Single-Image Stereo Depth Estimation using GANs
at Stanford, CA,
QUEVIHN
at West Lafayette, Indiana,
StrataGem
at MadHacks 2018 - University of Wisconsin-Madison,
Vitamin.AI
at Boilermake VI - Purdue University,
An introduction to Deep Learning for Style Transfer
Research Symposium Talk at Purdue IEEE Computer Society (CSOCIETY) Symposium 2018, West Lafayette, Indiana
A PyTorch Framework for Automatic Modulation Classification
Research Symposium Talk at The Summer Undergraduate Research Fellowship (SURF) Symposium, West Lafayette, Indiana
Deep Neural Network Architectures for Modulation Classification using Principal Component Analysis
Research Symposium Talk at The Summer Undergraduate Research Fellowship (SURF) Symposium, West Lafayette, Indiana
Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection
Conference Proceedings Talk at IEEE Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France
QoS Optimization with ML
Research Symposium Talk at Qualcomm Applied Machine Learning (QAML) Symposium 2019, West Lafayette, Indiana
Model Distillation
Research Symposium Talk at Google Cloud AI, Seattle, Washington
Food Locker
Research Symposium Talk at Purdue University Electrical and Computer Engineering Senior Design, West Lafayette, Indiana
Super-Resolution of Low-Quality Images for Realtime Pothole Detection
Research Symposium Talk at Stanford University CS 230: Deep Learning, 2020, Stanford, California
Unsupervised Neural Network Models of the Ventral Visual Stream
Research Symposium Talk at Stanford University CS 431: High-level Vision: From Neurons to Deep Neural Networks, 2021, Stanford, California
Single-Image Stereo Depth Estimation using GANs
Research Symposium Talk at Stanford University CS 231A: Computer Vision, From 3D Reconstruction to Recognition, 2021, Stanford, California
Teaching
Service and leadership
- Currently signed in to 43 different slack teams