Dr. Sweta Dey
Indian Institute of Technology Madras, IIT Ropar, Indian Institute of Technology Dhanbad
0000-0002-5498-5920
About
Dr. Sweta Dey is currently working as an Assistant Professor of Indian Institute of Technology Madras, Zanzibar Campus. She earned her PhD degree from Indian Institute of Technology Ropar under the supervision of Prof. Sudeepta Mishra and Prof. Abhinandan S. Prasad in the Department of Computer Science and Engineering at both the Indian Institute of Technology Ropar and the Indian Institute of Technology Palakkad, India. She completed her M.Tech degree in Computer Science and Engineering from the Indian Institute of Technology Dhanbad, India, in 2018. Prior to starting her Ph.D., she gained nearly two years of research experience at the Indian Institute of Technology Kharagpur, India, as well as four months of teaching experience at Lovely Professional University in Punjab, India. Her current research interests include Environmental Science, Machine Learning (ML), and Deep Learning (DL).
Employment
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Indian Institute of Technology Madras Assistant Professor2026 - Present
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IIT Ropar PhD2021 - Present
Education
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IIT Ropar PhD2021 - 2025
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Indian Institute of Technology Dhanbad M.Tech2016 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- On-Chain Heuristic Dynamic Swarm-based Bi-directional Stacked MLP Framework for Smart Industrial Pollution Mitigation Save
- Optimal Neural Architecture Search for Kolmogorov-Arnold Network-Based Image Classification Save
- Temperature-Wave Analysis: A Work with Ensemble Regression Prediction Method Save
- GreenEdge AI: Sustainable federated learning for smart city air quality prediction Save
- Bidirectional long short-term memory for enhanced air quality index Save
- Smart Cities' Clean Air: Federated Bidirectional Long Short-Term Memory for Enhanced Air Quality Index Forecasting Save
- Urban Resilience: Using Autoencoder-Decoder LSTM Model with Green Roofs and Vertical Gardens to Combat Air Pollution Save
- EdgeMatch: A Smart Approach for Scheduling IoT-Edge Tasks With Multiple Criteria Using Game Theory Save
- Urban air quality index forecasting using multivariate convolutional neural network based customized stacked long short-term memory model Save
- Apict:Air Pollution Epidemiology Using Green AQI Prediction During Winter Seasons in India Save