Energy-Based Maximum Likelihood Detector for GSSK in MIMO-ABC Systems. - Ashwini H. Raghavendra; Anagha K. Kowshik; Sanjeev Gurugopinath; Sami Muhaidat; Chintha Tellambura (SPCOM, 2022)

Generalized Space Shift Keying for Ambient Backscatter Communication. - Ashwini H. Raghavendra; Anagha K. Kowshik; Sanjeev Gurugopinath; Sami Muhaidat; Chintha Tellambura (IEEE Trans. Commun., 2022)

A Two-Tier Deep Neural Network Detector for Two-User Rate-Splitting Multiple Access Systems. - K. R. Spoorthy; Soumya B. Hudalimath; Sriveda Medatati; V. Sinchana; Anagha K. Kowshik; Sanjeev Gurugopinath (NCC, 2023)

Interactive Multiple Model-Based High-Resolution Tracking in Polar Form for Millimeter-Wave Radars. - Anagha K. Kowshik; Deepan Vetrivel; Ganesan Thiagarajan; Sanjeev Gurugopinath (NCC, 2024)

ViRSMALNet: A Twin-Tier LSTM-Based Deep Learning Network for Indoor MIMO RSMA VLC Systems. - Anagha K. Kowshik; Sanjeev Gurugopinath; Sami Muhaidat (IEEE Open J. Commun. Soc., 2024)

Angle-Only Target Tracking for Millimeter-Wave Radars: Performance and Experimental Validation. - Anagha K. Kowshik; Hazel S. S. Joseph; Sanjeev Gurugopinath; Ganesan Thiagarajan (NCC, 2025)

Analysis and Strategies of Wireless Caching-Assisted Rate-Splitting Multiple Access. - Anagha K. Kowshik; Sanjeev Gurugopinath; Sami Muhaidat (IEEE Commun. Lett., 2025)

Deep Learning-Based Detection for RSMA With Orthogonal Time Frequency Space Modulation. - Anagha K. Kowshik; Sanjeev Gurugopinath; Sami Muhaidat (IEEE Commun. Lett., 2025)