Design of emotion recognition system using neuromorphic computing technique. - B. S. Ajay; Madhav Rao (ISOCC, 2021)

Binary neural network based real time emotion detection on an edge computing device to detect passenger anomaly. - B. S. Ajay; Madhav Rao (VLSID, 2021)

NC-Emotions: Neuromorphic hardware accelerator design for facial emotion recognition. - B. S. Ajay; Sumedh R. Risbud; Madhav Rao (ICECS 2022, 2022)

Energy Efficient Multi-Modal Stress Detection System with Dynamic Adaptive Spiking Neurons. - Phani Pavan Kambhampati; Ajay B. S; Madhav Rao (ACM Great Lakes Symposium on VLSI, 2024)

Neuromorphic Energy Efficient Stress Detection System using Spiking Neural Network. - Ajay B. S; Madhav Rao; Phani Pavan K (ISCAS, 2024)

High Quality Power-Aware Verification of Mixed Signal designs using UPF checkers. - Gokul T; Ajay B. S; Raveendranathreddy P (ISOCC, 2024)

DESPINE: NAS generated Deep Evolutionary Adaptive Spiking Network for Low Power Edge Computing Applications. - B. S. Ajay; Phani Pavan K; Madhav Rao (ISQED, 2024)

MC-QDSNN: Quantized Deep evolutionary SNN with Multi-Dendritic Compartment Neurons for Stress Detection using Physiological Signals. - Ajay B. S; Phani Pavan K; Madhav Rao (CoRR, 2024)

MC-QDSNN: Quantized Deep Evolutionary SNN With Multidendritic Compartment Neurons for Stress Detection Using Physiological Signals. - Ajay B. S; Phani Pavan K; Madhav Rao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)