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2022

  1. Salami, D., Hasibi, R., Palipana, S., Popovski, P., Michoel, T., & Sigg, S. (2022). Tesla-rapture: A lightweight gesture recognition system from mmwave radar sparse point clouds. IEEE Transactions on Mobile Computing.Details
  2. Deshpande, A. A., Vaca-Rubio, C. J., Mohebi, S., Salami, D., de Carvalho, E., Popovski, P., Sigg, S., Zorzi, M., & Zanella, A. (2022). Energy-Efficient Design for RIS-assisted UAV communications in beyond-5G Networks. 2022 20th Mediterranean Communication and Computer Networking Conference (MedComNet), 158–165.Details
  3. Vaca-Rubio, C. J., Salami, D., Popovski, P., de Carvalho, E., Tan, Z.-H., & Sigg, S. (2022). User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars. ArXiv Preprint ArXiv:2205.10321.Details

2021

  1. Salami, D., Hasibi, R., Savazzi, S., Michoel, T., & Sigg, S. (2021). Integrating Sensing and Communication in Cellular Networks via NR Sidelink. ArXiv Preprint ArXiv:2109.07253.Details
  2. Salami, D., & Sigg, S. (2021). Zero-Shot Motion Pattern Recognition From 4D Point-Clouds. 2021 IEEE 31th International Workshop on Machine Learning for Signal Processing (MLSP).Details
  3. Palipana, S., Salami, D., Leiva, L. A., & Sigg, S. (2021). Pantomime: Mid-Air Gesture Recognition with Sparse Millimeter-Wave Radar Point Clouds. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5(1), 1–27. https://doi.org/10.1145/3448110Details

2020

  1. Salami, D., Palipana, S., Kodali, M., & Sigg, S. (2020). Motion Pattern Recognition in 4D Point Clouds. 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 1–6. https://doi.org/10.1109/MLSP49062.2020.9231569Details
  2. Salami, D., & Momtazi, S. (2020). Recurrent convolutional neural networks for poet identification. Digital Scholarship in the Humanities. https://doi.org/10.1093/llc/fqz096Details
  3. Salami, D., Streibel, O., Rhenius, M., & Sigg, S. (2020). A FAIR Extension for the MQTT Protocol. 2020 16th International Conference on Mobility, Sensing and Networking (MSN), 10–16. https://doi.org/10.1109/MSN50589.2020.00019Details

2019

  1. Momtazi, S., Rahbar, A., Salami, D., & Khanijazani, I. (2019). A Joint Semantic Vector Representation Model for Text Clustering and Classification. Journal of AI and Data Mining, 7(3), 443–450. https://doi.org/10.22044/JADM.2019.7400.1876Details
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