FPGA demonstration of spiking support vector networks based on growth transform neurons. - John MacKay; Ahana Gangopadhyay; Shantanu Chakrabartty (ISCAS, 2017)

Continuous-time Optimization using Sub-threshold Current-mode Growth Transform Circuits. - Ahana Gangopadhyay; Oindrila Chatterjee; Shantanu Chakrabartty (MWSCAS, 2018)

Spiking, Bursting, and Population Dynamics in a Network of Growth Transform Neurons. - Ahana Gangopadhyay; Shantanu Chakrabartty (IEEE Trans. Neural Networks Learn. Syst., 2018)

Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines. - Ahana Gangopadhyay; Oindrila Chatterjee; Shantanu Chakrabartty (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multi-attention Networks for Temporal Localization of Video-level Labels. - Lijun Zhang; Srinath Nizampatnam; Ahana Gangopadhyay; Marcos V. Conde (CoRR, 2019)

Democratizing Language Learning using Machine Learning. - Ahana Gangopadhyay; Indrajit Bardhan; Anirban Das; Nitish Subhash Soman; Santanu Das (CISS, 2022)

Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data. - Xiaohui Zhang 012; Ahana Gangopadhyay; Hsi-Ming Chang; Ravi Soni (ML4H@NeurIPS, 2023)

Proactive and reactive engagement of artificial intelligence methods for education: a review. - Sruti Mallik; Ahana Gangopadhyay (Frontiers Artif. Intell., 2023)

SAS: Segment Anything Small for Ultrasound - A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging. - Danielle Lopes Ferreira; Ahana Gangopadhyay; Hsi-Ming Chang; Ravi Soni; Gopal Avinash (CoRR, 2025)