A Serial Commutator Fast Fourier Architecture for Real-Valued Signals. - Mario Garrido; Nanda K. Unnikrishnan; Keshab K. Parhi (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

Effect of Finite Word-Length on SQNR, Area and Power for Real-Valued Serial FFT. - Nanda K. Unnikrishnan; Mario Garrido; Keshab K. Parhi (ISCAS, 2019)

A Gradient-Interleaved Scheduler for Energy-Efficient Backpropagation for Training Neural Networks. - Nanda K. Unnikrishnan; Keshab K. Parhi (ISCAS, 2020)

Brain-Inspired Computing: Models and Architectures. - Keshab K. Parhi; Nanda K. Unnikrishnan (IEEE Open J. Circuits Syst., 2020)

LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling. - Nanda K. Unnikrishnan; Keshab K. Parhi (ICCAD, 2021)

Correction to "Brain-Inspired Computing: Models and Architectures". - Keshab K. Parhi; Nanda K. Unnikrishnan (IEEE Open J. Circuits Syst., 2021)

Multi-Channel FFT Architectures Designed via Folding and Interleaving. - Nanda K. Unnikrishnan; Keshab K. Parhi (ISCAS, 2022)

InterGrad: Energy-Efficient Training of Convolutional Neural Networks via Interleaved Gradient Scheduling. - Nanda K. Unnikrishnan; Keshab K. Parhi (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

SCV-GNN: Sparse Compressed Vector-Based Graph Neural Network Aggregation. - Nanda K. Unnikrishnan; Joe Gould; Keshab K. Parhi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)