HybridSeqNet: A Multimodal Approach Incorporating Convolutional and Long Short-Term Memory Networks for Comprehensive Structural Protein Classification. - Soumen Sinha; Pranav Sunil; Neha Bharill; Om Prakash Patel (BCD, 2023)

Sentiment Analysis of Russia-Ukraine Conflict: A Hybrid Approach Using VADER, GloVe-embedding and LSTM. - Soumen Sinha; Saketh Innani; Pawan Chinnari; Mehek Khan (CSAI, 2023)

Multiplicative Gaussian Noise Removal using Partial Differential Equations and Activation Functions: A Robust and Stable Approach. - Soumen Sinha; Anish Nethi; Mahipal Jetta (ICACS, 2023)

A Novel Robust Kernelized FCM Based Multi-Objective Simultaneous Learning Framework for Clustering and Classification. - Saketh Innani; Pawan Chinnari; Soumen Sinha; Mehek Khan; Neha Bharill; Om Prakash Patel (SSCI, 2023)

Semantic Segmentation in Aerial Imagery: A Novel Approach for Urban Planning and Development. - Pawan Chinnari; Soumen Sinha; Budonkayala Ishaa; Neha Bharill; Om Prakash Patel (COMPSAC, 2024)

A Novel Cascade Classifier Framework for Open-World Medicinal Plant Classification. - Tanisha Rana; Soumen Sinha; Rahul Roy (COMPSAC, 2024)

ALRA: Adaptive Low-Rank Approximations for Neural Network Pruning. - Soumen Sinha; Rajen Kumar Sinha (COMPSAC, 2024)

Hierarchical Ensemble of AutoEncoder for Restoration of Images Corrupted by Cumulative Combination of Noise. - Sayarnil Ganguly; Sanjana Reddy Katham; Sanyam Agrawal; Soumen Sinha; Rahul Roy (ICPR (24), 2024)

SegNet-ATT: Cross-Channel and Spatial Attention-Enhanced U-Net for Semantic Segmentation of Flood Affected Areas. - Pranav Sunil; Soumen Sinha; Rahul Roy (ICPR (5), 2024)

Optimal Barcode Representation for NLP Embeddings. - Soumen Sinha; Azam Asilian Bidgoli; Shahryar Rahnamayan (SMC, 2024)

Active learning with Gaussian Process Regression for solving non-linear time-dependent partial differential equations. - Soumen Sinha; Neha Bharill; Om Prakash Patel; Mahipal Jetta (Eng. Appl. Artif. Intell., 2025)

Evolutionary Feature-wise Thresholding for Binary Representation of NLP Embeddings. - Soumen Sinha; Shahryar Rahnamayan; Azam Asilian Bidgoli (CoRR, 2025)