PV-based off-board electric vehicle battery charger using BIDC. - Ankita Paul; Krithiga Subramanian; Sujitha Nachinarkiniyan (Turkish J. Electr. Eng. Comput. Sci., 2019)

Design Technology Co-Optimization for Neuromorphic Computing. - Ankita Paul; Shihao Song; Anup Das 001 (IGSC (Workshops), 2021)

A design methodology for fault-tolerant computing using astrocyte neural networks. - Murat Isik; Ankita Paul; M. Lakshmi Varshika; Anup Das 001 (CF, 2022)

Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training. - Ankita Paul; Stefan Wagner 021; Anup Das 001 (IJCNN, 2022)

Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review. - Phu Khanh Huynh; M. Lakshmi Varshika; Ankita Paul; Murat Isik; Adarsha Balaji; Anup Das 001 (CoRR, 2022)

Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants. - Ankita Paul; Md Abu Saleh Tajin; Anup Das 001; William M. Mongan; Kapil R. Dandekar (CoRR, 2022)

On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware. - Ankita Paul; Shihao Song; Twisha Titirsha; Anup Das 001 (IEEE Des. Test, 2023)

Sparsity Aware Learning in Feedback-Driven Differential Recurrent Neural Networks. - Ankita Paul; Anup Das 001 (ICANN (4), 2024)

Learning in Recurrent Spiking Neural Networks with Sparse Full-FORCE Training. - Ankita Paul; Anup Das 001 (ICANN (10), 2024)

Data Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike Based Reservoirs-in-Reservoir. - Ankita Paul; Nagarajan Kandasamy; Kapil R. Dandekar; Anup Das 001 (IJCNN, 2024)