Video and Audio Data Extraction for Retrieval, Ranking and Recapitulation (VADER ^3 ). - Volkmar Frinken; Satish Ravindran; Shriphani Palakodety; Guha Jayachandran; Nilesh Powar (ANNPR, 2018)

ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals. - Shihong Fang; Haoran Zhu; Devansh Bisla; Anna Choromanska; Satish Ravindran; Dongyin Ren; Ryan Wu (ICRA, 2023)

Track-Cued Radar Point Cloud Target Classification. - Lihui Chen; Mujtaba Hassan; Satish Ravindran; Ryan Wu (IEEECONF, 2024)

Multi-View Radar Autoencoder for Self-Supervised Automotive Radar Representation Learning. - Haoran Zhu; Haoze He; Anna Choromanska; Satish Ravindran; Binbin Shi; Lihui Chen (IV, 2024)

Deep Unfolding Using Score-based Generative Networks for Automotive Radar Interference Mitigation. - Xinyi Wei; Jihwan Youn; Jeroen Overdevest; Jun Li 091; Satish Ravindran; Ruud J. G. van Sloun (ICASSP, 2025)

DynHD: Hyperdimensional Computing Approach for Efficient Radar Spectrum Classification. - Zhuowen Zou; Yang Ni 001; SungHeon Jeong 001; Satish Ravindran; Binbin Shi; Phil Chen; Mohsen Imani (IEEE Embed. Syst. Lett., 2025)