Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
RealVisor: AI-Powered Real Estate Analytics
An end-to-end AI analytics platform for property valuation and market trend analysis using XGBoost and Streamlit.
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
AHF-RBFNet: Attention-Guided Hierarchical Fusion U-Net with Learnable Fuzzy Membership Kernels for Medical Image Segmentation
Integrating a learnable Radial Basis Function (RBF) fuzzy membership kernel into a hierarchical U-Net to dynamically filter semantic uncertainty, achieving SOTA IoU on skin lesion datasets.
Recommended citation: L. Chhetri, et al. (2026). "AHF-RBFNet: Attention-Guided Hierarchical Fusion U-Net with Learnable Fuzzy Membership Kernels for Medical Image Segmentation." In Progress.
Degraded Ancient Ashokan Brahmi Script Recognition via Self-Supervised Pretraining and WGAN-GP Degradation Pipelines
An end-to-end OCR and visual inpainting framework for ancient Indic scripts, introducing a 150K sequence dataset generated via physically-motivated WGAN-GP degradation.
Recommended citation: L. Chhetri, et al. (2026). "Degraded Ancient Ashokan Brahmi Script Recognition via Self-Supervised Pretraining and WGAN-GP Degradation Pipelines." In Progress.
Geometric Residual Learning for 3D Medical Image Segmentation via DDL-Mamba
A novel Delta-Mamba framework integrating Deep Delta Learning blocks into a 3D U-Mamba backbone, featuring Softplus-constrained weights to stabilize representation drift in dense 3D State Space Models.
Recommended citation: L. Chhetri, et al. (2026). "Geometric Residual Learning for 3D Medical Image Segmentation via DDL-Mamba." In Progress.
Ionospheric TEC Forecasting via Deep Delta Learning and Conformal Prediction
A CNN-DDL architecture featuring a dynamic beta-gate and Marginal Split Conformal Prediction for real-time solar wind modeling, achieving zero-shot cross-solar-cycle generalization.
Recommended citation: A. Kumar, L. Chhetri, P. Ghosal. (2026). "Zero-Shot Cross-Solar Cycle Generalization of Ionospheric Total Electron Content Dynamics using a Deep Delta Learning Convolutional Neural Network." Advances in Space Research (Under Review).
Deep Delta Vision Mamba: A Lightweight State Space Architecture with Deep Delta Learning for Efficient Remote Sensing
A hierarchical State Space Model (SSM) architecture integrating 2D Deep Delta Learning, achieving 510 FPS and outperforming ResNet50 by 13.1x in deployment efficiency for satellite edge computing.
Recommended citation: L. Chhetri, A. Kumar, G. Sarma. (2026). "Deep Delta Vision Mamba: A Lightweight State Space Architecture with Deep Delta Learning for Efficient Remote Sensing." IEEE CONECCT.
Optimizing Deep Learning for Brain Tumor Classification: A Comparative Ablation Study of Preprocessing and Augmentation Strategies
A comprehensive ablation study isolating the impact of specific data preprocessing and augmentation pipelines, proposing a novel “destructive vs. constructive” taxonomy for medical image processing.
Recommended citation: L. Chhetri, A. Kumar. (2026). "Optimizing Deep Learning for Brain Tumor Classification: A Comparative Ablation Study of Preprocessing and Augmentation Strategies." IEEE GCON.
DDV-GNet: High-Throughput Defect Detection for Space Manufacturing via Deep Delta Gated Networks
A novel hierarchical gated convolutional architecture achieving real-time processing (853 FPS) and 95.9% accuracy for space manufacturing defect detection.
Recommended citation: L. Chhetri, A. Kumar. (2026). "DDV-GNet: High-Throughput Defect Detection for Space Manufacturing via Deep Delta Gated Networks." IEEE SPACE.
Beyond Limited Labels: Safe Semi-Supervised Learning for Malaria Diagnosis
An uncertainty-guided semi-supervised learning framework that integrates Monte Carlo dropout-based epistemic uncertainty estimation to reduce silent failure rates by 29.2% in resource-constrained environments.
Recommended citation: L. Chhetri, Aman Kumar. (2026). "Beyond Limited Labels: Safe Semi-Supervised Learning for Malaria Diagnosis." IEEE DSAA (Under Review).
Attention-Enhanced Swin Transformers for Robust Brain Tumor Classification Under Patient-Level Data Splitting
We propose an Attention-Enhanced Swin Transformer integrating hierarchical windowed attention with CBAM to mitigate data leakage, achieving 96.82% accuracy on strict patient-level splits.
Recommended citation: L. Chhetri, P. Ghosal, A. Datta. (2026). "Attention-Enhanced Swin Transformers for Robust Brain Tumor Classification Under Patient-Level Data Splitting." IEEE GCON.
Intrinsic Neural Firewalls for Cyber-Physical Systems: Robust Anomaly Rejection via Deep Delta Residual Overwrites
An intrinsic defense architecture (DDL-FW) for Cyber-Physical Systems that embeds anomaly detection directly into residual connections, achieving an F1 score of 0.7206 on the HAI 21.03 benchmark.
Recommended citation: R. Das, L. Chhetri, A. Kumar, P. Ghosal. (2026). "Intrinsic Neural Firewalls for Cyber-Physical Systems: Robust Anomaly Rejection via Deep Delta Residual Overwrites." WIN 6.0 (Under Review).
Risk-Controlled Urban Change Detection: Conformal Prediction Wrappers for Provable Reliability in High-Resolution Satellite Imagery
A rigorous statistical approach applying Marginal Split Conformal Prediction to transformer-based satellite change detection, achieving distribution-free coverage bounds and SOTA F1 scores.
Recommended citation: A. Kumar, A. Mukherjee, H. Das, L. Chhetri, P. Ghosal. (2026). "Risk-Controlled Urban Change Detection: Conformal Prediction Wrappers for Provable Reliability in High-Resolution Satellite Imagery." ICCI (Under Review).
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.