-PhD- Advanced Technology Development Center, Indian Institute of Technology Kharagpur, 2014-2019
-M. Tech- Instrumentation & Control Engineering, University Of Calcutta, 2011-2013
-B. Tech- Electronics & Instrumentation Engineering, Academy Of Technology, 2007-2011
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence, Signal Processing, Computers in Earth Sciences
Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI Karabi Konar, Saptarshi Das, Samiran Das, Sanjay Misra SN Computer Science, 2025 Employee attrition refers to the phenomenon of employees leaving an organization. High attrition rates can have a profoundly adverse impact on organizations, resulting in the loss of talent, reduced productivity, increased recruitment costs, and a negative effect on employee morale and confidence. This paper presents a novel model for predicting employee attrition by leveraging the synergistic combination of the Stacked Classifier model and Explainable AI techniques. By combining diverse machine learning algorithms into an ensemble model and leveraging XAI methods, this study not only forecasts attrition with precision but also explains the underlying decision-making process, making the predictions interpretable and actionable. The proposed model yields an accuracy of 98.8%, a precision of 98.1%, and an F1-score of 98.5%. The outcomes indicate that job satisfaction, salary, and career development opportunities have a significant impact on attrition rates. The proposed model can help organizations develop targeted employee retention strategies.
On Sparsity Measures in Deep Subspace Clustering Samiran Das, Chirag Kyal, Sawon Pratiher Icpc2t 2022 2nd International Conference on Power Control and Computing Technologies Proceedings, 2022
On VLMs for Diverse Tasks in Multimodal Meme Classification D Gavit, D Mazumder, G Kumar, S Das, J Patro DHOW-MiLLA Workshop, The ACM Web Conference 2026 , 2026 2026 Citations: 1
Efficient deep learning approach for inferring the number of endmembers in a hyperspectral image B Chakrabarti Banik, AK Ray, S Das Journal of Applied Remote Sensing 20 (1), 016511 , 2026 2026
SF-MAMBACD: Spatial and Frequency aware VMAMBA for Accurate Mining Change Detection R Ghosh, S Jena, S Das 34th European Signal Processing Conference, EUSIPCO 34 , 2026 2026
GraDeCAR- Gradual Denoising by Contrastive Agreement-based Relabeling for Tackling Label Noise in Medical Imaging M Gayen, S Das, S Bhattacharya P2P-CV, The IEEE/CVF Winter Conference on Applications of Computer Vision 2026 , 2026 2026
Histogram Assisted Quality Aware Generative Model for Resolution Invariant NIR Image Colorization Abhinav, S Dwivedi, Rajeev, Das, V Kurmi The IEEE/CVF Winter Conference on Applications of Computer Vision 21 , 2026 2026
DAR2A-Net: Pixelwise Distance Aware Recurrent Residual Attention Net for Efficient Hyperspectral Change Detection R Ghosh, S Das IEEE Geoscience and Remote Sensing Letters (GRSL) 14 , 2025 2025 Citations: 1
3D CoAt U SegNet-enhanced deep learning framework for accurate segmentation of acute ischemic stroke lesions from non-contrast CT scans MK Nag, AK Sadhu, S Das, C Kumar, S Choudhary Physical and Engineering Sciences in Medicine 48 (4), 1853-1863 , 2025 2025 Citations: 1
Deep Self-Supervised Denoising of Scanning Electron Microscopic Images of Cement Microstructure for Quality Assessment of Concrete D Mitra, S Das, S Chakraborty, S Das 10th International Conference on Computer Vision and Image Processing 10 , 2025 2025
Unmixing Aware Semantic Feature Fused Network for Accurate Multi-class Hyperspectral Change Detection R Ghosh, S Das 15th Workshop on Hyperspectral Image and Signal Processing: Evolution in … , 2025 2025
On Visual Saliency Maps for Identifying the Fidelity of Deepfake Detection Dataset A Banerjee, S Das, A Agarwal BMVC, 2nd Workshop on Media authenticity in the age of artificial … , 2025 2025
Employee attrition prediction using Bayesian optimized stacked ensemble learning and explainable AI K Konar, S Das, S Das, S Misra SN Computer Science 6 (6), 672 , 2025 2025 Citations: 13
Employee Attrition Prediction Using Optimized Deep Auto-Encoder and 1D Convolution Neural Network K Konar, S Das, S Das, S Misra Deep Learning Applications in Operations Research, 25-51 , 2025 2025
MineNet-CD: Global mining change detection dataset W Yu, S Das, A Rizaldy, X Zhang, R Gloaguen, P Ghamisi IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium … , 2024 2024 Citations: 2
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification W Yu, X Zhang, S Das, XX Zhu, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 62 , 2024 2024 Citations: 40
Bayesian Neural Network for Robust Estimation of Signal Source Number in Acoustic Sensor Data S Das, S Ghosal 2024 IEEE Wireless Antenna and Microwave Symposium (WAMS), 1-5 , 2024 2024
Hydrophobicity-based Grading of Industrial Composite Insulators Images using Cross Attention Vision Transformer with Knowledge Distillation S Das, S Chatterjee, S Pratiher, S Chattoraj, M Basu, H Konik IEEE Transactions on Dielectrics and Electrical Insulation 31 (1), 523-532 , 2024 2024 Citations: 3
Hyperspectral Unmixing by Convolutional Auto-encoder with Deep Subspace Clustering and Candidate Pixel Selection S Das International Conference on Computing Communication and Networking … , 2023 2023 Citations: 1
Open Geology Database (OGD): An Integrated Platform for Geological, Mining, and Seismic Datasets for Open Research S Das, P Ghamisi, R Gloaguen 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution … , 2023 2023
Acritical Comparison of Linear and Nonlinear Unmixing for Intimate Mixtures B Koirala, S Das, B Rasti, P Ghamisi, R Gloaguen, P Scheunders 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution … , 2023 2023 Citations: 2
Unmixing aware compression of hyperspectral image by rank aware orthogonal parallel factorization decomposition S Das, S Ghosal Journal of Applied Remote Sensing 17 (4), 046509-046509 , 2023 2023 Citations: 7
MOST CITED SCHOLAR PUBLICATIONS
Hyperspectral image, video compression using sparse tucker tensor decomposition S Das IET Image Processing 15 (4), 964-973 , 2021 2021 Citations: 43
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification W Yu, X Zhang, S Das, XX Zhu, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 62 , 2024 2024 Citations: 40
Fast semi-supervised unmixing of hyperspectral image by mutual coherence reduction and recursive PCA S Das, A Routray, AK Deb Remote Sensing 10 (7), 1106 , 2018 2018 Citations: 25
Covariance similarity approach for semiblind unmixing of hyperspectral image S Das, A Routray IEEE Geoscience and Remote Sensing Letters 16 (6), 937-941 , 2019 2019 Citations: 24
Sparsity measure based library aided unmixing of hyperspectral image S Das, A Routray, AK Deb IET Image Processing 13 (12), 2077-2085 , 2019 2019 Citations: 22
Efficient multichannel EEG compression by optimal tensor truncation S Das, C Kyal Biomedical Signal Processing and Control 68, 102749 , 2021 2021 Citations: 20
Sparsity regularized deep subspace clustering for multicriterion-based hyperspectral band selection S Das, S Pratiher, C Kyal, P Ghamisi IEEE Journal of Selected Topics in Applied Earth Observations and Remote … , 2022 2022 Citations: 19
Noise robust estimation of number of endmembers in a hyperspectral image by eigenvalue based gap index S Das, A Routray, AK Deb 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in … , 2016 2016 Citations: 18
Fast linear unmixing of hyperspectral image by slow feature analysis and simplex volume ratio approach S Das, S Chakraborty, A Routray, AK Deb IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium … , 2019 2019 Citations: 14
Employee attrition prediction using Bayesian optimized stacked ensemble learning and explainable AI K Konar, S Das, S Das, S Misra SN Computer Science 6 (6), 672 , 2025 2025 Citations: 13
Efficient tensor decomposition approach for estimation of the number of endmembers in a hyperspectral image S Das, A Routray, AK Deb Journal of Applied Remote Sensing 14 (1), 016519-016519 , 2020 2020 Citations: 12
Graph manifold clustering based band selection for hyperspectral face recognition S Bhattacharya, S Das, A Routray 2018 26th European Signal Processing Conference (EUSIPCO), 1990-1994 , 2018 2018 Citations: 12
Band selection of hyperspectral image by sparse manifold clustering S Das, S Bhattacharya, A Routray, A Kani Deb IET Image Processing 13 (10), 1625-1635 , 2019 2019 Citations: 11
Estimation of number of endmembers in a hyperspectral image using Eigen thresholding S Das, JN Kundu, A Routray India Conference (INDICON), 2015 Annual IEEE , 2015 2015 Citations: 11
Employee attrition prediction for imbalanced data using genetic algorithm-based parameter optimization of XGB Classifier K Konar, S Das, S Das 2023 International Conference on Computer, Electrical & Communication … , 2023 2023 Citations: 10
Hyperspectral unmixing by nuclear norm difference maximization based dictionary pruning S Das, A Routray, AK Deb 2017 14th IEEE India Council International Conference (INDICON), 1-5 , 2017 2017 Citations: 10
Feature extraction approach for quality assessment of remotely sensed hyperspectral images S Das, S Bhattacharya, PK Khatri Journal of Applied Remote Sensing 14 (2), 026514-026514 , 2020 2020 Citations: 9
Convex set based abundance constrained unmixing of hyperspectral image S Das, A Routray, AK Deb 2017 14th IEEE India Council International Conference (INDICON), 1-5 , 2017 2017 Citations: 9
Unmixing aware compression of hyperspectral image by rank aware orthogonal parallel factorization decomposition S Das, S Ghosal Journal of Applied Remote Sensing 17 (4), 046509-046509 , 2023 2023 Citations: 7
Explainable machine learning for crop recommendation from agriculture sensor data-a new paradigm S Das, S Chatterjee 2023 14th International Conference on Computing Communication and Networking … , 2023 2023 Citations: 7