cv

NeuroAI

Basics

Name Ninad Aithal
Label Researcher
Email reachninadaithal@gmail.com
Phone +91-7795880966
Url https://blackpearl006.github.io/
Summary Machine learning researcher focused on neuroimaging, explainable AI, and topological data analysis, with publications in ISBI, ICPR, and MICCAI.

Work

  • 2024.08 - Present
    Project Associate, Vision and AI Lab
    Indian Institute of Science
    Working on explainable AI for brain age prediction in collaboration with Stanford Medicine and Centre for Brain Research.
    • Deep learning-based biomarkers for brain aging
    • Cross-population neuroimaging analysis
    • Collaboration with Vinod Menon and Srikanth Ryali (Stanford Medicine)

Volunteer

  • 2024.12 - 2024.12

    India

    Volunteer
    Indian Conference on Computer Vision, Graphics and Image Processing
    Assisted with organizing logistics and sessions during the national-level vision and AI conference.
    • Volunteer at ICVGIP 2024

Education

  • 2020.08 - 2024.05

    Mangalore, India

    B.Tech
    Srinivas University Institute of Engineering and Technology
    Robotics, AI and Machine Learning
    • Thesis: MCI Detection using fMRI time series embeddings of Recurrence plots
  • 2020.01 - 2024.09

    Chennai, India

    B.Sc
    Indian Institute of Technology Madras
    Data Science and Applications
    • Deep Learning for Computer Vision
    • Machine Learning
    • Big Data & Biological Networks

Awards

  • 2024.04.01
    Dean’s Best Undergraduate Project Award
    Srinivas University
    Best project among 50+ submissions on Alzheimer’s detection using recurrence plots of fMRI data.
  • 2020.08.01
    Chairman’s Scholarship
    Srinivas University
    100% tuition waiver awarded to one student per department for academic excellence.
  • 2023.11.01
    Travel Grant
    IEEE DHSR
    Received funding to present research at IEEE Digital Health Symposium and Roundtable.

Certificates

Understanding and Modeling EEG Data
Chennai Mathematical Institute 2023-07-01
Large Scale Brain Data Computing
IIT Madras 2023-05-01

Publications

Skills

Machine Learning & Neuroimaging
Python
PyTorch
Scikit-learn
Topological Data Analysis
FSL
Nilearn
Captum
SHAP
Git
Google Cloud Platform

Languages

English
Fluent
Kannada
Native speaker
Hindi
Professional working proficiency

Interests

Computational Neuroscience
Neurodegeneration
Alzheimer’s Disease
Brain Age Prediction
Functional MRI
DWI & Connectomics

References

Prof. Neelam Sinha
Principal Investigator, Centre for Brain Research, IISc – Mentored multiple publications and conference abstracts with Ninad.
Prof. Venkatesh Babu
Head, Vision and AI Lab, IISc – Currently supervising Ninad on explainable AI in brain aging research.

Projects

  • 2023.06 - 2023.10
    NeuroLight
    Efficient MR image preprocessing pipeline built with PyTorch Lightning for reproducible neuroimaging research.
    • fMRI pipeline design
    • Integrated with deep learning models