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Career

· MS in Computer Science, Stanford University2024–
· Generative AI Data Scientist, NVIDIA2023–
· Research Assistant, Stanford Artificial Intelligence Lab2023–2024
· Data Engineer Intern, Tesla2023–2023
· B.S. in Computer Science, University of California, Irvine2022–
· Research Intern, Lawrence Berkeley National Laboratory2021–2023
· Research Assistant, City of Los Angeles + NASA2019–2024
· Summer Undergraduate Researcher, USC Viterbi Engineering ISI2019–2019

Publications (13)

Predicting PM2.5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data
Air quality, atmosphere and health · 2021
69
cited
PM2.5 Air Pollution Prediction through Deep Learning Using Multisource Meteorological, Wildfire, and Heat Data
Atmosphere · 2022
24
cited
Sensor-Based Air Pollution Prediction Using Deep CNN-LSTM
2020 International Conference on Computational Science and Computational Intelligence (CSCI) · 2020
17
cited
A Stochastic Time Series Model for Predicting Financial Trends using NLP
arXiv.org · 2021
13
cited
Real-Time Spatiotemporal Air Pollution Prediction with Deep Convolutional LSTM Through Satellite Image Analysis
Advances in Data Science and Information Engineering · 2021
11
cited
Satellite Image Atmospheric Air Pollution Prediction through Meteorological Graph Convolutional Network with Deep Convolutional LSTM
2020 International Conference on Computational Science and Computational Intelligence (CSCI) · 2020
11
cited
Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM
2022 International Conference on Computational Science and Computational Intelligence (CSCI) · 2022
4
cited
Generative Adversarial Imitation Learning for Empathy-based AI
arXiv.org · 2021
2
cited
Multimodal Social Media Sentiment Analysis
Predicting Atmospheric Air Pollution: A Convolutional- Transformer Approach for Spatial and Temporal Analysis of PM2.5
2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) · 2023
Semi Supervised Meta Learning for Spatiotemporal Learning
arXiv.org · 2023
The United States Legal System: The Jurisprudence of Partisanship With Supreme Court Rulings
Revista Juris Poiesis · 2020
Using Deep Learning for Spatial and Temporal Analysis of Wildfire Start and Progression
2023 International Conference on Computational Science and Computational Intelligence (CSCI) · 2023
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Pratyush Muthukumar | Researcher Profile | Sotabase | Sotabase