Srijan Das
Assistant Professor at University of North Carolina at Charlotte
Charlotte, North Carolina, United States
Summary
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Senior🎓
Top SchoolSrijan Das is an Assistant Professor at UNC Charlotte with nine years of research experience in video understanding, specializing in human action recognition and weakly supervised detection. He earned his PhD from Université Côte d'Azur / Inria and completed a postdoc at Stony Brook, where he developed pose-driven spatio-temporal attention mechanisms that have been published in top vision venues like ECCV, ICCV, WACV, and PRL. His work focuses on video representations for daily living activities and often leverages pose cues to improve temporal localization under weak supervision. Beyond publishing, he contributes to the community through reviewing and organizing scientific events, bridging rigorous research with practical datasets and evaluation. Notably, his trajectory blends European lab-style research training with US academic mentorship, positioning him to translate cutting-edge methods into classroom and applied-project settings.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Nice Sophia AntipolisMaster’s Degree, Computer Science, Master’s Degree, Computer Science at National Institute of Technology Rourkela
Github Skills (43)
pytorch10
python10
data-science10
machine-learning10
deep-learning10
tensorflow10
recurrent-neural-networks9
activity-recognition9
jax9
six8
smartphone8
neural-network8
lstm-neural-networks8
lstm7
human-activity-recognition6
Programming languages (3)
Github contributions (5)
srijandas07/srijandas07.github.io
Jan 2022 - Mar 2025
Contributions:160 pushes in 3 years 3 months
srijandas07/LSTM_action_recognition
Jan 2019 - Mar 2020
Contributions:10 commits, 9 pushes, 1 branch in 1 year 2 months
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