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amankumar12S/README.md
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Hi there, I'm Aman Kumar


About Me


Co-Founder & Lead AI Researcher @ Halo Mind Research Group

I engineer highly robust, hardware-efficient predictive pipelines with a focus on Deep Learning, advanced sequence modeling, and mathematically sound uncertainty quantification. My primary objective is bridging the gap between theoretical deep learning and scalable, real-world deployment for high-stakes environments.

Currently holding AI Research Internships at the ISI Kolkata and the Uni. of Salford, I oversee the end-to-end architecture of complex models.

Whether I am building frameworks for space AI, medical vision or optimizing spatial-temporal architectures for real-time forecasting, I design systems built for absolute resilience and computational efficiency.

All of my active research and production codebases are hosted under the Halo Mind Research Group.



(See my pinned repositories below for a small view of my works).

 AI Graphic

Publications & Research Focus


  • Research implementation projects in:
    • Medical Vision & Image Segmentation: Engineering geometric residual learning frameworks (DDL-Mamba) and Attention-Enhanced Swin Transformers for robust anomaly classification.

    • NLP & Clinical Summarization: Leading neural extraction pipelines using BERTopic/SBERT, actively developing solutions for complex clinical case report summarization.

    • Cyber-Physical Resilience: Designing intrinsic neural firewalls and anomaly rejection frameworks for high-dimensional, real-time spatial-temporal forecasting.

    • Recent Acceptances: IEEE SPACE 2026, IEEE GCON 2026, IEEE CONECCT 2026.

Tech Stack & Tools

Skill Icons



Reach me at: [email protected]

Personal Portfolio: amankumar12s.github.io

Research Group Page: halomind-research.github.io

Pinned Loading

  1. HaloMind-Research/DDV-GNet-Space HaloMind-Research/DDV-GNet-Space Public

    Official PyTorch implementation of DDV-GNet: A real-time (853 FPS) gated convolutional neural network for real-time aerospace defect detection.

    Jupyter Notebook 2

  2. HaloMind-Research/Optimizing-Deep-Learning-for-Brain-Tumor-Classification HaloMind-Research/Optimizing-Deep-Learning-for-Brain-Tumor-Classification Public

    Official implementation of the paper Optimizing Deep Learning for Brain Tumor Classification: A Comparative Ablation Study of Preprocessing and Augmentation Strategies. Includes patient-level data …

    Jupyter Notebook 2

  3. HaloMind-Research/Conformal-Satellite-Change-Detection HaloMind-Research/Conformal-Satellite-Change-Detection Public

    Official implementation of "Risk-Controlled Urban Change Detection: Conformal Prediction Wrappers for Provable Reliability in High-Resolution Satellite Imagery" using PyTorch.

    Jupyter Notebook 3

  4. HaloMind-Research/SafeMed-SSL HaloMind-Research/SafeMed-SSL Public

    Official implementation of "Uncertainty-Guided Semi-Supervised Learning for Safe Medical Image Classification".

    Jupyter Notebook 2

  5. HaloMind-Research/DDV-Mamba_for_Efficient_Remote_Sensing HaloMind-Research/DDV-Mamba_for_Efficient_Remote_Sensing Public

    DDV-Mamba: A highly efficient hierarchical vision model utilizing 2D Deep Delta Learning and SSM-Gated Aggregation for real-time satellite land-cover classification.

    Jupyter Notebook 3

  6. HaloMind-Research/Interpretable-Solar-Defect-Detection HaloMind-Research/Interpretable-Solar-Defect-Detection Public

    Official code implementation for "Interpretable Solar Panel Defect Detection" . Uses Swin Transformers and Fuzzy Logic for Explainable AI (XAI).

    Jupyter Notebook 2