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25.3 AI-Enabled Design Space Discovery and End-to-End Synthesis for RFICs with Reinforcement Learning and Inverse Methods Demonstrating mm-Wave/sub-THz PAs Between 30 and 120GHz

https://doi.org/10.1109/ISSCC49661.2025.10904600

Zhou, Jonathan; Karahan, Emir Ali; Ghozzy, Sherif; Liu, Zheng; Jalili, Hossein; Sengupta, Kaushik (February 2025, IEEE)

Free, publicly-accessible full text available February 16, 2026
Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits

https://doi.org/10.1038/s41467-024-54178-1

Karahan, Emir_Ali; Liu, Zheng; Gupta, Aggraj; Shao, Zijian; Zhou, Jonathan; Khankhoje, Uday; Sengupta, Kaushik (December 2024, Nature Communications)
Curving Around Obstacles via NN-Enabled Wavefront Shaping in Sub-THz Wireless Networks

https://doi.org/10.1109/GLOBECOM52923.2024.10901766

Chen, Haoze; Kludze, Atsutse; Ghasempour, Yasaman (December 2024, IEEE)

Free, publicly-accessible full text available December 8, 2025
Zero-Shot Accurate mmWave Antenna Array Calibration in the Wild

https://doi.org/10.1145/3636534.3697323

Delafrooz_Noroozi, Oveys; Guo, Heyu; Shen, Ruiyi; Shao, Zijian; Chen, Haoze; Sengupta, Kaushik; Ghasempour, Yasaman; Madhow, Upamanyu (December 2024, ACM)

Free, publicly-accessible full text available December 4, 2025
A frequency-agile retrodirective tag for large-scale sub-terahertz data backscattering

https://doi.org/10.1038/s41467-024-53035-5

Kludze, Atsutse; Kono, Junichiro; Mittleman, Daniel_M; Ghasempour, Yasaman (October 2024, Nature Communications)
Deep Learning Aided Modelling and Inverse Design for Multi-Port Antennas

https://doi.org/10.1109/AP-S/INC-USNC-URSI52054.2024.10686871

Karahan, Emir Ali; Shao, Zijian; Sengupta, Kaushik (July 2024, IEEE)

Full Text Available
IMS Deep Learning Enabled Generalized Synthesis of Multi-Port Electromagnetic Structures and Circuits for mmWave Power Amplifiers

https://doi.org/10.1109/IMS40175.2024.10600352

Karahan, Emir Ali; Liu, Zheng; Sengupta, Kaushik (June 2024, IEEE)

Full Text Available
A 36–91 GHz Broadband Beamforming Transmitter Architecture With Phase Error Between 1.2°–2.8° for Joint Communication and Sensing

https://doi.org/10.1109/TMTT.2023.3324428

Liu, Zheng; Karahan, Emir Ali; Sengupta, Kaushik (January 2024, IEEE Transactions on Microwave Theory and Techniques)

Full Text Available
Physical Layer Security Through Directional Modulation With Spatio-Temporal Millimeter-Wave Transmitter Arrays

https://doi.org/10.1109/JSSC.2024.3384373

Lu, Xuyang; Venkatesh, Suresh; Tang, Bingjun; Sengupta, Kaushik (January 2024, IEEE Journal of Solid-State Circuits)

Full Text Available
A Low-Power OAM Metasurface for Rank-Deficient Wireless Environments

https://doi.org/10.1109/GLOBECOM54140.2023.10436974

Cho, Kun Woo; Kasi, Srikar; Jamieson, Kyle (December 2023, IEEE Global Communications Conference)

This paper presents Monolith, a high bitrate, low-power, metamaterials surface-based Orbital Angular Momentum (OAM) MIMO multiplexing design for rank deficient, free space wireless environments. Leveraging ambient signals as the source of power, Monolith backscatters these ambient signals by modulating them into several orthogonal beams, where each beam carries a unique OAM. We provide insights along the design aspects of a low-power and programmable metamaterials-based surface. Our results show that Monolith achieves an order of magnitude higher channel capacity than traditional spatial MIMO backscattering networks.
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