Prasanjit Dey

Prasanjit Dey

Postdoctoral Researcher (ESA Biomass Project) at Chalmers University of Technologyn

Summary: 25 peer-reviewed outputs, comprising 14 journal articles (10 published, 4 under review) and 11 refereed conference papers, plus 2 granted patents and open-source code releases. The full record is on ORCiD and Google Scholar.

Patents

1. Digital Mine Using Internet of Things, Inventors: S. K. Chaulya, …, Prasanjit Dey, et al., CSIR India, Patent No: 580680, Application No: 202011029344, Filed: Jul 2020, Granted: Feb 2026

2. Location Tracking System for Indoor Environment (LTIE), Inventors: Prasanjit Dey, Debashis De, Sourav Hati, Patent No: 465850, Application No: 201831030620, Filed: Aug 2018, Granted: Nov 2023

Journals (Published)

1. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO2 and SO2 Using Satellite-Ground Data Fusion.” Theoretical and Applied Climatology 157, 509 (2026). (Paper Link)

2. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “Predicting Multivariate Air Pollution: A Gaussian-Mixture Nested Factorial Variational Autoencoder Approach.” IEEE Geoscience and Remote Sensing Letters 21 (2024): 1-5. (SCIE) (Q1) (Paper Link)

3. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “CombineDeepNet: A Deep Network for Multistep Prediction of Near-Surface PM2.5 Concentration.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17 (2024): 788-807. (SCIE) (Q1) (Paper Link)

4. Prasanjit Dey, Bibhash Pran Das, Yee Hui Lee, Soumyabrata Dev. “NeSNet: A Deep Network for Estimating Near-Surface Pollutant Concentrations.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16 (2023): 3797-3804. (SCIE) (Q1) (Paper Link)

5. Prasanjit Dey, K. Saurabh, Chandan Kumar, D. Pandit, Swades Kumar Chaulya, S. K. Ray, Girendra Mohan Prasad, S. K. Mandal. “t-SNE and variational auto-encoder with a bi-LSTM neural network-based model for prediction of gas concentration in a sealed-off area of underground coal mines.” Soft Computing 25, no. 22 (2021): 14183-14207. (SCIE) (Paper Link)

6. Prasanjit Dey, Swades Kumar Chaulya, Sanjay Kumar. “Hybrid CNN-LSTM and IoT-based coal mine hazards monitoring and prediction system.” Process Safety and Environmental Protection 152 (2021): 249-263. (SCIE) (Q1) (Paper Link)

7. Prasanjit Dey, Swades Kumar Chaulya, Sanjay Kumar. “Secure decision tree twin support vector machine training and classification process for encrypted IoT data via blockchain platform.” Concurrency and Computation: Practice and Experience 33, no. 16 (2021): e6264. (SCIE) (Paper Link)

8. K. Kumari, Prasanjit Dey, Chandan Kumar, Dewangshu Pandit, S. S. Mishra, Vikash Kisku, S. K. Chaulya, S. K. Ray, G. M. Prasad. “UMAP and LSTM based fire status and explosibility prediction for sealed-off area in underground coal mine.” Process Safety and Environmental Protection 146 (2021): 837-852. (SCIE) (Q1) (Paper Link)

9. Prasanjit Dey, Chandan Kumar, Mitrabarun Mitra, Richa Mishra, Swades Kumar Chaulya, Girendra Mohan Prasad, S. K. Mandal, Gautam Banerjee. “Deep convolutional neural network based secure wireless voice communication for underground mines.” Journal of Ambient Intelligence and Humanized Computing 12, no. 10 (2021): 9591-9610. (Paper Link)

10. Sourav Hati, Prasanjit Dey, Debashis De. “WLAN based energy efficient smart city design.” Microsystem Technologies 25, no. 5 (2019): 1599-1612. (SCI) (Paper Link)

Journals (Under Review)

1. Prasanjit Dey, Soumyabrata Dev, Angela Meyer, Bianca Schoen-Phelan. “NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting.” arXiv:2604.01175 (2026). Under review. (Preprint) (Code)

2. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings.” arXiv:2603.29974 (2026). Under review. (Preprint)

3. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “One-for-All: A Lightweight Stabilized and Parameter-Efficient Pre-trained LLM for Time Series Forecasting.” arXiv:2603.29756 (2026). Under review. (Preprint) (Code)

4. Prasanjit Dey, Z. Yahn, Soumyabrata Dev, Bianca Schoen-Phelan. “TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution.” arXiv:2604.04445 (2026). Under review. (Preprint)

Conferences

1. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “AirGRU: A Physics-Informed Model for PM2.5 Prediction.” In Proceedings of the 13th International Congress on Environmental Modelling and Software (iEMSs 2026), Dublin, Ireland, 2026.

2. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “Efficient Vision Transformer Framework: Near-Surface O3 Prediction with Missing Satellite Data.” In IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2025. (Paper Link)

3. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “FewShot-Airnet: Temporal 2D-Variation Modeling for Air Pollution Forecasting.” In IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2025. (Paper Link)

4. S. Kumari, Prasanjit Dey, David Ayala-Cabrera, Soumyabrata Dev. “Attention-Based ResNet for Accurate Water Body Classification Using Spectral Indices.” In 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2024. (Paper Link)

5. Prasanjit Dey, S. Dhang, Soumyabrata Dev, Bianca Schoen-Phelan. “NES-VIT-NET: A Nested Vision Transformer-Based Network for Near-Surface NO2 Estimation.” In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. (Paper Link)

6. S. Dhang, Prasanjit Dey, M. Zhang, Soumyabrata Dev. “Use-Net: Satellite Data-Based Framework for Optimizing Billboard Placement in Urban Areas.” In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. (Paper Link)

7. Neda Akrami, Yue Li, Prasanjit Dey, Soumyabrata Dev. “Spatial-Temporal-TES: Reanalysis Dataset based Short-Term Temperature Forecasting System.” In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2), pp. 1763-1768. IEEE, 2023. (Paper Link)

8. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “BiLSTM-BiGRU: A Fusion Deep Neural Network For Predicting Air Pollutant Concentration.” In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 5166-5169. IEEE, 2023. (Paper Link)

9. Menatallah Abdel Azeem, Prasanjit Dey, Soumyabrata Dev. “A Multidimensionality Reduction Approach to Rainfall Prediction.” In 2023 Photonics & Electromagnetics Research Symposium (PIERS), pp. 499-508. IEEE, 2023. (Paper Link)

10. Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan. “NeSDeepNet: A Fusion Framework for Multi-step Forecasting of Near-surface Air Pollutants.” In 2023 Photonics & Electromagnetics Research Symposium (PIERS), pp. 1826-1834. IEEE, 2023. (Paper Link)

11. Aditya Agarwal, Prasanjit Dey, Sanjay Kumar. “Sentiment Analysis using Modified GRU.” In Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing (IC3), pp. 356-361. ACM, 2022. (Paper Link)

Open-Source Code

1. NeuroDDAF: a physics-informed framework with evidential uncertainty fusion for air quality forecasting. (GitHub)

2. One-for-All: parameter-efficient adaptation of pretrained LLMs for time series forecasting. (GitHub)

All releases include pinned dependencies, configuration files, seeded random states and container images, so published results can be reproduced end to end.

Update: 2026/09/23