Soumen Sinha

MS Data Science and AI at TU Delft.

Publications

You can also view my complete publication list on Google Scholar.

Journals

2025

Sinha, S., Bharill, N., Patel, O. P., & Jetta, M. (2025). “Active learning with Gaussian Process Regression for solving non-linear time-dependent partial differential equations.” Engineering Applications of Artificial Intelligence, 160(Part B), 111879. [DOI] ScienceDirect

Preprints

Sinha, S., Rahnamayan, S., & Bidgoli, A. A. (2025). “Evolutionary Feature-wise Thresholding for Binary Representation of NLP Embeddings.” arXiv preprint. arXiv (Under review)

Sinha, S., Rana, T., Ghosh, S., & Roy, R. (2025). “A Novel Approach to Navigate the Taxonomic Hierarchy to Address Open-World Scenarios in Medicinal Plant Classification.” Submitted to Computers and Electronics in Agriculture, Elsevier. arXiv (Under review)

Conference Proceedings

2025

Sinha, S., Santos, L. B., & Sinha, R. K. (2025). “Active Learning guided Gaussian Process Regressor for Non-Linear PDE Modeling for Environmental Simulations.” In IEEE Symposium Series on Computational Intelligence (SSCI 2025), Norway. [IEEE Xplore]

2024

Ganguly, S., Katham, S. R., Agarwal, S., Sinha, S., & Roy, R. (2024). “Denoising Arbitrary Combination of Noise using a Hierarchical Ensemble of AutoEncoder.” In 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, India. [Link]

Sunil, P., Sinha, S., & Roy, R. (2024). “SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Flood Area Predictions.” In 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, India. [Link]

Sinha, S., Rahnamayan, S., & Bidgoli, A. A. (2024). “Optimal Barcode Representation for NLP Embeddings.” In IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2024), Malaysia. IEEE Xplore. [IEEE Xplore]

Sinha, S., Rana, T., & Roy, R. (2024). “A Novel Cascade Classifier Framework for Open-World Medicinal Plant Classification.” In 48th IEEE Computers, Software, and Applications Conference (IEEE COMPSAC 2024), Osaka, Japan. [IEEE Xplore]

Sinha, S. (2024). “ALRA: Adaptive Low-Rank Approximations for Neural Network Pruning.” In 48th IEEE Computers, Software, and Applications Conference (IEEE COMPSAC 2024), Osaka, Japan. [IEEE Xplore]

Chinnari, P., Sinha, S., Ishaa, B., Bharill, N., & Patel, O. P. (2024). “Semantic Segmentation in Aerial Imagery: A Novel Approach for Urban Planning and Development.” In 48th IEEE Computers, Software, and Applications Conference (IEEE COMPSAC 2024), Osaka, Japan. [IEEE Xplore]

Sinha, S., Sunil, P., Bharill, N., & Patel, O. P. (2024). “HybridSeqNet: A Multimodal Approach Incorporating Convolutional and Long Short-Term Memory Networks for Comprehensive Structural Protein Classification.” In 26th IEEE/ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Taiwan. [IEEE Xplore]

2023

Innani, S., Chinnari, P., Sinha, S., Khan, M., Bharill, N., & Patel, O. P. (2023). “A Novel Robust Kernelized FCM based Multi-Objective Simultaneous Learning Framework for Clustering and Classification.” In IEEE Symposium Series on Computational Intelligence (SSCI 2023), Mexico City. [IEEE Xplore]

Sinha, S., Nethi, A., & Jetta, M. (2023). “Multiplicative Gaussian Noise Denoising using Partial Differential Equations and Activation Functions: A Robust and Stable Approach.” In 7th International Conference on Algorithms, Computing and Systems (ICACS 2023), Greece. [ACM Proceedings]

Sinha, S. & Surve, M. I. (2023). “CAPTCHA Recognition and Analysis Using Custom Based CNN Model - Capsecure.” In ICETCI 2023. [IEEE Xplore]

Sinha, S., Innani, S., Chinnari, P., & Khan, M. (2023). “Sentiment Analysis of Russia-Ukraine Conflict: A Hybrid Approach Using VADER, GloVe-embedding and LSTM.” In 7th International Conference on Computer Science and Artificial Intelligence (CSAI 2023), Beijing, China. [ACM Proceedings]

Last updated: August 2025