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Career

· Research Scientist, UC San Diego (ADALab)2022–

Publications (20)

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
Incremental and Approximate Computations for Accelerating Deep CNN Inference
ACM Transactions on Database Systems · 2020
25
cited
PM2.5 Air Pollution Prediction through Deep Learning Using Multisource Meteorological, Wildfire, and Heat Data
Atmosphere · 2022
24
cited
As-Encountered Prediction of Tunnel Boring Machine Performance Parameters using Recurrent Neural Networks
Transportation Research Record · 2020
23
cited
Gradient-based Algorithms for Machine Teaching
Computer Vision and Pattern Recognition · 2021
23
cited
Model-Parallel Model Selection for Deep Learning Systems
SIGMOD Conference · 2021
19
cited
Sensor-Based Air Pollution Prediction Using Deep CNN-LSTM
2020 International Conference on Computational Science and Computational Intelligence (CSCI) · 2020
17
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
Systems for Parallel and Distributed Large-Model Deep Learning Training
arXiv.org · 2023
9
cited
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
ACM Conference on Recommender Systems · 2023
8
cited
Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads
Proceedings of the VLDB Endowment · 2023
8
cited
Hydra: A System for Large Multi-Model Deep Learning
arXiv.org · 2021
5
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
Prediction of geological composition using recurrent neural networks and shield tunnel boring machine data
Civil engineering and environmental systems (Print) · 2023
1
cited
Hydra: An Optimized Data System for Large Multi-Model Deep Learning [Information System Architectures]
2022
Model-Parallel Task Parallelism for Efficient Multi-Large-Model Deep Learning
2022
Orchestration Systems to Support Deep Learning at Scale
2024
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
Reinforcement Learning for Intra- & Inter-Node Recommender Data Pipeline Optimization
Trans. Recomm. Syst. · 2024
Saturn: Efficient Multi-Large-Model Deep Learning
arXiv.org · 2023
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Kabir Nagrecha | Researcher Profile | Sotabase | Sotabase