Here is a list of my papers:
Working Papers
[I] Deepayan Chakraborty, Raj Kishore, Rupapriya Naskar, Saurabh Jaiswal, Adway Mitra. A Comparative Study Of Generative Models as Surrogates of Earth System Models to Simulate Global Sea Surface Temperature
[I] Deepayan Chakraborty, Devabrat Sharma, Adway Mitra, Bhupendra Nath Goswami. CV-GAN - A Generative Model to Simulate Global Climate Variability
[I] Adway Mitra (2022), Agent-based Simulation of District-based Elections
[I] Adway Mitra (2022), Exploring Fairness in District-based Multi-party Elections under different Voting Rules using Stochastic Simulations
Peer-reviewed Journal Papers
[J] Devabrat Sharma, Santu Das, Deepayan Chakraborty, Adway Mitra, B. N. Goswami (2025), Improving Indian summer monsoon rainfall prediction using deep learning up to two years in advance, Quarterly Journal of the Royal Meteorological Society (e700023)
[J] Deepayan Chakraborty and Adway Mitra (2025), Simulation of global sea surface temperature maps using Pix2Pix GAN, Environmental Data Science, Vol 4.
[J] Sumanta Chandra Mishra Sharma and Adway Mitra (2025), Deep learning based bias correction of TRMM precipitation estimates using IMD-gridded precipitation as ground observation, Environmental Data Science, Vol 3.
[J] Sumanta Chandra Mishra Sharma, Bipin Kumar, Adway Mitra, Subodh Kumar Saha (2024), Deep learning-based bias correction of ISMR simulated by GCM, Atmospheric Research, Vol 309, 107589
[J] Sumanta Chandra Mishra Sharma, Adway Mitra (2024), MAUNet: A max-average neural network architecture for precipitation downscaling, Neural Computing and Applications, Volume 36, pages 16465–16484
[J] Sumanta Chandra Mishra Sharma, Adway Mitra (2022), Environmental Data Science, ResDeepD: A Residual Super-Resolution Network for Deep Downscaling of Daily Precipitation over India
[J] B. N. Goswami, Deepayan Chakraborty , P. V. Rajesh and Adway Mitra (2022), NPJ Climate and Atmospheric Science. Predictability of South-Asian monsoon rainfall beyond the legacy of Tropical Ocean Global Atmosphere program (TOGA)
[J] Adway Mitra (2021), Frontiers in Climate (Predictions and Projections). A Comparative Study on the Skill of CMIP6 Models to Preserve Daily Spatial Patterns of Monsoon Rainfall Over India
[J] Alok Kumar Samantaray, Adway Mitra, Meenu Ramadas, R. K. Panda (2021), Journal of Hydrology [Impact Factor: 4.5]. Regionalization of Hydroclimatic Variables using Markov Random Field Model for Climate Change Impact Assessment
[J] Arjun Sharma, Adway Mitra, Vishal Vasan, Rama Govindarajan (2020), International Journal of Climatology [Impact Factor: 3.6]. Spatio‐temporal relationships between rainfall and convective clouds during Indian monsoon through a discrete lens
[J] Madhumita Chakraborty, Soumyajit Sarkar, Abhijit Mukherjee, Mohammad Shamsudduha, Kazi Matin Ahmed, Animesh Bhattacharya , Adway Mitra (2020), Science of the Total Environment [Impact Factor: 6.6]. Modeling regional-scale groundwater arsenic hazard in the trans-boundary Ganges River Delta, India and Bangladesh: infusing physically-based model with supervised machine learning
[J] Adway Mitra, Ashwin Seshadri (2019), Computers and Geosciences [Impact Factor: 3.0]. Detection of Spatio-temporally Coherent Rainfall Anomalies using Markov Random Fields
[J] Adway Mitra, Amit Apte, Rama Govindarajan, Vishal Vasan, and Sreekar Vadlamani (2018), Dynamics and Statistics of the Climate System: An Interdisciplinary Journal, Vol 3 (1). Spatio-temporal Patterns of Indian Monsoon Rainfall,
[J] Adway Mitra, Amit Apte, Rama Govindarajan, Vishal Vasan, and Sreekar Vadlamani (2018), Dynamics and Statistics of the Climate System: An Interdisciplinary Journal, Vol 3 (1). A Discrete View of the Indian Monsoon to Identify SpatialPatterns of Rainfall
[J] Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya (2016), IEEE Transactions on Pattern Analysis and Machine Intelligence [Impact Factor: 9.5]. Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization
Peer-reviewed Conference Papers
[C] Priyanka, Adway Mitra, Manjira Sinha (2024). ACM International Conference on Data Science and Management of Data (CODS-COMAD). SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution
[C] Priyanka Goyal, Adway Mitra, Manjira Sinha (2024), IEEE International Geoscience and Remote Sensing Symposium (IGARSS), ASYMM-UNET: A CONCISE MODEL FOR SEGMENTATION OF SATELLITE IMAGERY FOR CROP MAPPING (short paper)
[C] Adway Mitra, Palash Dey (2024), International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Evaluating District-based Election Surveys with Synthetic Dirichlet Likelihood (Supplementary Material)
[C] Anjali Raj, Shubham Agarwal, Adway Mitra, Manjira Sinha (2023), IEEE International Geoscience and Remote Sensing Symposium (IGARSS), MAPPING SLUMS FROM SATELLITE IMAGERY USING DEEP LEARNING (short paper)
[C] Adway Mitra (2023), International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Agent-based Simulation of District-based Elections with Heterogeneous Populations (Extended Abstract)
[C] Varun Madhavan, Adway Mitra, Partha Pratim Chakraborti (2023), International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City (Extended Abstract)
[C] Sumanta Chandra Mishra Sharma, Adway Mitra (2022), International Conference on Climate Informatics, ResDeepD: A Residual Super-Resolution Network for Deep Downscaling of Daily Precipitation over India
[C] Gaurav Suryawanshi, Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti (2021), Winter Simulation Conference, Phoenix, USA. City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling
[C] Adway Mitra (2021), Winter Simulation Conference, Phoenix, USA. Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections?
[C] Adway Mitra (2020), International Conference on Climate Informatics. A Hybrid Deep Generative Approach to Simulate Spatial Patterns of Daily Temperature and Rainfall
[C] Adway Mitra (2017), IEEE Big Data, Boston, USA. Identifying Coherent Anomalies in Multi-Scale Spatio-Temporal Data using Markov Random Fields
[C] Adway Mitra (2017), ACM SIGSPATIAL CONFERENCE, Los Angeles, USA. Bayesian approach to Spatio-temporally Consistent Simulation of Daily Monsoon Rainfall over India
[C] Adway Mitra, Chiranjib Bhattacharyya, Soma Biswas (2015), International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina. EntScene: Nonparametric Bayesian Temporal Segmentation of videos aimed at Entity-driven Scene Discovery
[C] Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya (2015), SIAM International Conference on Data Mining (SDM), Vancouver, Canada. Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos
[C] Adway Mitra, Srujana Merugu (2013), International Conference on Information and Knowledge Management (CIKM), San Francisco, USA. Reconciliation of Categorical Opinions from Multiple Sources
[C] Adway Mitra, Ranganath B.N., Indrajit Bhattacharya (2013), European Conference on Machine Learning (ECML-PKDD), Prague, Czech Republic. A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data
[C] Dhruv Mahajan, Rajeev Rastogi, Charu Tiwari, Adway Mitra (2012), International Conference on Information and Knowledge Management (CIKM), Hawaii. LogUCB: An Explore-Exploit Algorithm For Comments Recommendation
[C] Anoop Rajagopal, Adway Mitra, Ujwal Bonde, Chiranjib Bhattacharyya, K.R. Ramakrishnan (2012), International Conference on Pattern Recognition (ICPR), Tsukuba, Japan. Covariance Profiles: A Signature Representation For Object Sets
[C] Adway Mitra, Anoop Rajagopal, Ujwal Bonde, Chiranjib Bhattacharyya, K.R. Ramakrishnan (2012), International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan. EIGEN-PROFILES OF SPATIO-TEMPORAL FRAGMENTS FOR ADAPTIVE REGION-BASED TRACKING
Peer-reviewed Workshop Papers
[W] Adway Mitra (2021), NEURIPS Workshop on AI for Credible Elections. Exploring Fairness in District-based Electoral Systems through Calibrated Simulations
[W] Alok Kumar Samantaray, Adway Mitra, Meenu Ramadas (2020), AI for Earth Science Workshop (held with International Conference on Learning Representation),.A PROBABILISTIC GRAPHICAL MODEL APPROACH TO IDENTIFY SPATIAL CHANGES IN MONTHLY PRECIPITATION UNDER CLIMATE CHANGE
[W] Imme Ebert-Uphoff, Whitney Huang, Adway Mitra, Dan Cooley, Snigdhansu Chaterjee, Chen Chen, Zhonglei Wang (2018), 8th International Workshop on Climate Informatics (CI 2018), Boulder, USA. Studying Extremal dependence in Climate using Complex Networks
[W] Adway Mitra (2017), Climate Informatics Workshop, National Center for Atmospheric Research (NCAR), Boulder, USA. SPATIO-TEMPORALLY CONSISTENT SIMULATION OF DAILY RAINFALL OVER INDIA
[W] Adway Mitra, Amit Apte, Rama Govindarajan, Vishal Vasan, Sreekar Vadlamani (2017), Climate Informatics Workshop, National Center for Atmospheric Research (NCAR), Boulder, USA. TRACKING THE PROPAGATION OF PLANETARY SCALE CLOUD ZONES OVER INDIAN OCEAN AND SOUTH ASIA WITH MARKOV RANDOM FIELDS
[W] Adway Mitra, Amit Apte, Rama Govindarajan, Vishal Vasan, Sreekar Vadlamani (2017), Climate Informatics Workshop, National Center for Atmospheric Research (NCAR), Boulder, USA. FINDING ACTIVE AND BREAK SPELLS OF INDIAN MONSOON BY MARKOV RANDOM FIELDS
[W] Adway Mitra, Ashwin Seshadri (2017), Climate Informatics Workshop, National Center for Atmospheric Research (NCAR), Boulder, USA. PREDICTABILITY OF ATTRIBUTES OF ANNUAL AND MONTHLY RAINFALL OVER INDIA
[W] Adway Mitra (2017), Workshop on Mining Big Data for Climate and Environment, Houston (with SIAM International Conference on Data Mining - SDM), Texas USA. Coherent Spatial Clusters for Indian Rainfall Anomalies across Time Scales
[W] Adway Mitra (2016), Climate Informatics Workshop, National Center for Atmospheric Research (NCAR), Boulder, USA. SPATIO-TEMPORAL GENERATIVE MODELS FOR RAINFALL OVER INDIA