Sharaj Panwar
Research Assistant at Texas A&M Engineering Experiment Station (TEES)
College Station, Texas, United States
Summary
👤
Senior🎓
Top SchoolSharaj Panwar is a dedicated research-focused ML and data science professional blending electrical engineering with cutting-edge artificial intelligence. Over nine years, he has driven advances in deep learning, GANs, CNNs, and RNNs, applying Python, TensorFlow, Keras, PyTorch, and MATLAB to EEG/ECG signals, speech, and audio-visual data. As a Research Assistant at TEES and a Research Fellow at UTSA's Brain Computer Interface Lab, he has delivered spatial variational autoencoders for efficient temporal data encoding and developed uncertainty quantification methods for Scientific ML, as well as semi-supervised and conditional GAN architectures for EEG generation and fatigue prediction, achieving notable AUC scores. He holds an MS in Electrical Engineering from UTSA and is pursuing a PhD in Interdisciplinary Engineering at Texas A&M, reflecting a strong trajectory at the intersection of theory and applied experimentation. Based in College Station, Texas, he bridges academic research with practical engineering challenges, translating complex data-driven insights into scalable, real-world solutions. A less obvious detail: he has contributed to music emotion modeling and audio segmentation projects during his earlier UTSA work, illustrating a breadth across biosignals, audio, and multimedia data.
9 years of coding experience
7 years of employment as a software developer
University of Texas at San AntonioDoctor of Philosophy - PhD, Interdisciplinary Engineering, Doctor of Philosophy - PhD, Interdisciplinary Engineering at Texas A&M UniversityBachelor of Technology - BTech, Electrical and Electronics Engineering, Bachelor of Technology - BTech, Electrical and Electronics Engineering at Dr APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh (India)
Stackoverflow
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Github Skills (10)
predict9
ieee9
generative9
generative-adversarial-networks8
modeling8
generative-adversarial-network8
keras7
tensorflow5
deep-learning5
neural-networks3
Programming languages (1)
Github contributions (5)
sharajpanwar/HRNN
Mar 2018 - Apr 2019
Contributions:32 commits, 4 pushes in 1 year 1 month
sharajpanwar/CC-WGAN-GP
Feb 2019 - Mar 2021
Repo: IEEE TNSRE Article "Modeling EEG data distribution with a Wasserstein Generative Adversarial Network (WGAN) to predict RSVP Events" - Keras implementation
Contributions:126 commits, 17 pushes, 1 comment in 2 years 1 month
adversarialpredicttensorflowrsvpieee
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