| Performance evaluation of COVID-19 proximity detection using bluetooth LE signal Z Su, K Pahlavan, E Agu IEEE access 9, 38891-38906, 2021 | 43 | 2021 |
| IndexPen: Two-finger text input with millimeter-wave radar H Wei, Z Li, AD Galvan, Z Su, X Zhang, K Pahlavan, ET Solovey Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 13 | 2022 |
| Complex motion detection based on channel state information and lstm-rnn P Zhang, Z Su, Z Dong, K Pahlavan 2020 10th Annual Computing and Communication Workshop and Conference (CCWC …, 2020 | 11 | 2020 |
| Covid-19 social distance proximity estimation using machine learning analyses of smartphone sensor data O Semenov, E Agu, K Pahlavan, Z Su IEEE Sensors Journal 22 (10), 9568-9579, 2022 | 8 | 2022 |
| Proximity detection during epidemics: Direct UWB TOA versus machine learning based RSSI Z Su, K Pahlavan, E Agu, H Wei International journal of wireless information networks 29 (4), 480-490, 2022 | 4 | 2022 |
| An Empirical Study of Interference Features in Licensed and Unlicensed Bands for Intelligent Spectrum Management Z Su, K Pahlavan, B Islam 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and …, 2023 | 3 | 2023 |
| A Study of Interference Analysis Between mmWave Radars and IEEE 802.11 AD at 60 GHz Bands S Cheng, K Pahlavan, H Wei, Z Su, SR Zekavat, A Abedi International Journal of Wireless Information Networks 29 (3), 222-231, 2022 | 3 | 2022 |
| Characteristics of Mid-Bands Interference in Wireless Spectrum Sharing for Mobility Support in 6G, Wi-Fi 7, and Beyond K Pahlavan, B Islam, Z Su, E Morgan International Journal of Wireless Information Networks 30 (4), 283-286, 2023 | 1 | 2023 |
| Machine Learning for RF Cloud in Proximity Detection and Intelligent Spectrum Management: An Empirical Study Z Su WORCESTER POLYTECHNIC INSTITUTE, 2024 | | 2024 |
