An object recognition algorithm using Maximum Margin Correlation Filter and Support Vector Machine. - Samya Bagchi; P. G. Poonacha (NCC, 2014)

O(1) time sorting algorithms using spiking neurons. - Samya Bagchi; Srikrishna S. Bhat; Atul Kumar (IJCNN, 2016)

A model of neurobiologically plausible least-squares learning in visual cortex. - Samya Bagchi; Mark D. McDonnell (IJCNN, 2018)

Star Tracking Using an Event Camera. - Tat-Jun Chin; Samya Bagchi; Anders P. Eriksson; André van Schaik (CVPR Workshops, 2019)

Event-based Star Tracking via Multiresolution Progressive Hough Transforms. - Samya Bagchi; Tat-Jun Chin (WACV, 2020)

Maximum Margin Correlation Filter Based on Data Spatial Distribution Information. - Qi Jiang; Jia Luo; Gang Zhou; Samya Bagchi (IEEE Access, 2022)

L-DIT: A dApp for Live Detectability, Identifiability and Trackability for ASOs on the Behavioral Dynamics Blockchain. - Anirban Chowdhury; Yasir Latif; Ivan Aksenov; Moriba K. Jah; Samya Bagchi (CoRR, 2024)

On-chain Validation of Tracking Data Messages (TDM) Using Distributed Deep Learning on a Proof of Stake (PoS) Blockchain. - Yasir Latif; Anirban Chowdhury; Samya Bagchi (CoRR, 2024)

Data and Decision Traceability for SDA TAP Lab's Prototype Battle Management System. - Latha Pratti; Samya Bagchi; Yasir Latif (CoRR, 2025)

Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset. - Samya Bagchi; Peter Anastasiou; Matthew Tetlow; Tat-Jun Chin; Yasir Latif (CoRR, 2025)