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Research

9 papers, NeurIPS/MICCAI/IEEE. Full record on Google Scholar.

FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules
NeurIPS 2025 Workshop, poster · code · video

X-Node: Self-Explanation Is All We Need
MICCAI 2025 (GRAIL), oral · code · video

A Feature Extraction and Time Warping Based Neural Expansion Architecture for Cloud Resource Usage Forecasting
Cluster Computing, Springer (IF 4.4)

Benchmarking the Effectiveness of Classification Algorithms & SVM Kernels for Dry Beans
AIDA, IEEE BigData 2023 (with Tel Aviv University)

Enhancing Performance of Deep Learning Models with a Novel Data Augmentation Approach
14th ICCCNT, IEEE Xplore, IIT Delhi

A Multi-Layered Approach to Brain Tumor Classification Using VDC-12
ICCST, Springer CCIS

Predictive Maintenance of Armoured Vehicles Using Machine Learning Approaches
ICCSMLAI International Conference 2023

Two more are listed on Scholar / DBLP but I haven't written them up here yet.