Research & Projects

Where the model meets the world.

A selection of projects spanning medical imaging, transportation AI, and applied machine learning. Most pair a deep-learning core with explainability tooling.

P/01case study

Brain Tumour Classification & Detection

Interpretable CNN with Grad-CAM for radiologist-friendly diagnosis.

TensorFlow · Keras · Explainable AI

P/02case study

Automated Number Plate Detection

Real-time ANPR pipeline with detection + OCR.

TensorFlow · Keras · OpenCV

P/03case study

Crop Yield Prediction

Tabular regression model on agronomic features.

Random Forest · Scikit-Learn

P/04case study

Weather Application

Lightweight web app consuming live forecast data.

Flask · REST APIs

P/05case study

E-commerce Customer Behavior Analysis

Segmentation and propensity modelling on transaction logs.

Pandas · ML · Clustering

Specialised Training

Certifications.

Neural Research · Feb 1, 2026

Advanced Research Career in Machine Learning & XAI

Interpretable, transparent ML models — Grad-CAM, LIME, SHAP — applied to medical imaging and digital healthcare.

Neural Research · Jan 1, 2026

Conducting Research with Image Processing, Deep Learning & XAI

Research foundations in image processing, deep learning and explainable AI for medical imaging.

Attended

Conferences & Seminars.

  • Oct 9 — 11, 2025CCF 18th International ConferenceHohai University, Jiangning Campus, Nanjing, China