Dariush Salami

@ARTICLE{10684085,
  author={Salami, Dariush and Hasibi, Ramin and Savazzi, Stefano and Michoel, Tom and Sigg, Stephan},
  journal={IEEE Sensors Journal}, 
  title={Angle-Agnostic Radio Frequency Sensing Integrated Into 5G-NR}, 
  year={2024},
  volume={24},
  number={21},
  pages={36099-36114},
  keywords={Sensors;Sidelink;Radar;Radio frequency;Point cloud compression;Millimeter wave communication;Device-to-device communication;Gesture recognition;new radio (NR) sidelink;point cloud;radio frequency (RF) communication and sensing convergence},
  doi={10.1109/JSEN.2024.3459428},
  group = {ambience}}



%%% 2023 %%%

@ARTICLE{10129041,
  author={Salami, Dariush and Ning, Wanru and Ruttik, Kalle and Jäntti, Riku and Sigg, Stephan},
  journal={IEEE Communications Magazine}, 
  title={A Joint Radar and Communication Approach for 5G NR using Reinforcement Learning}, 
  year={2023},
  volume={61},
  number={5},
  pages={106-112},
  keywords={Communication systems;5G mobile communication;Estimation;Radar;Interference;Reinforcement learning;Air traffic control},
  doi={10.1109/MCOM.001.2200474},
  group = {ambience}}

@INPROCEEDINGS{10150256,
  author={Salami, Dariush and Juvakoski, Anni and Vahala, Riku and Beigl, Michael and Sigg, Stephan},
  booktitle={2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)}, 
  title={Water quality analysis using mmWave radars}, 
  year={2023},
  volume={},
  number={},
  pages={412-415},
  keywords={Meteorological radar;Liquids;Radar detection;Radar;Water quality;Water pollution;Millimeter wave communication;mmWave radar;AI;ML;water quality analysis},
  doi={10.1109/PerComWorkshops56833.2023.10150256},
  group = {ambience}}

@inproceedings{Rubio22,
  title={User Localization Using RF Sensing. A Performance Comparison between LIS and mmWave Radars},
  author={Cristian Jesus Vaca Rubio and Dariush Salami and Petar Popovski and Elisabeth De Carvalho and Zheng-Hua Tan and Stephan Sigg},
  booktitle={EUSIPCO},
  year={2022},
  group = {ambience},
  project = {windmill},
  group = {ambience}}

@article{salami2022tesla,
  title={Tesla-rapture: A lightweight gesture recognition system from mmwave radar sparse point clouds},
  author={Salami, Dariush and Hasibi, Ramin and Palipana, Sameera and Popovski, Petar and Michoel, Tom and Sigg, Stephan},
  journal={IEEE Transactions on Mobile Computing},
  year={2022},
  publisher={IEEE},
  group = {ambience},
  project = {radiosense},
  group = {ambience}}

@inproceedings{Anay2022RIS,
  title={Energy-Efficient Design for RIS-Assisted UAV Communications in Beyond-5G Networks},
  author={Anay Ajit Deshpande and Cristian Jesus Vaca Rubio and Salman Mohebi and Dariush Salami and Elisabeth De Carvalho and Stephan Sigg and Michele Zorzi and Andrea Zanella},
  booktitle={IEEE MedComNet},
  year={2022},
  group = {ambience},
  project = {windmill},
  group = {ambience}}

@InProceedings{Salami_2021_MLSP, 
author = {Dariush Salami and Stephan Sigg}, 
booktitle = {IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)}, 
title = {Zero-shot Motion Pattern Recognition from 4D Point Clouds},
year = {2021},
project ={radiosense,windmill},
group={ambience}
}

@article{Sameera_2021_IMWUT,
author={Sameera Palipana and Dariush Salami and Luis Leiva and Stephan Sigg},
journal={Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)},
title={Pantomime: Mid-Air Gesture Recognition with Sparse Millimeter-Wave Radar Point Clouds},
year={2021},
abstract={We introduce Pantomime, a novel mid-air gesture recognition system exploiting spatio-temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is positioned in a unique region of the RF landscape: mid-resolution mid-range high-frequency sensing, which makes it ideal for motion gesture interaction. We configure a commercial frequency-modulated continuous-wave radar device to promote spatial information over temporal resolution by means of sparse 3D point clouds, and contribute a deep learning architecture that directly consumes the point cloud, enabling real-time performance with low computational demands. Pantomime achieves 95\% accuracy and 99\% AUC in a challenging set of 21 gestures articulated by 45 participants in two indoor environments, outperforming four state-of-the-art 3D point cloud recognizers. We also analyze the effect of environment, articulation speed, angle, and distance to the sensor. We conclude that Pantomime is resilient to various input conditions and that it may enable novel applications in industrial, vehicular, and smart home scenarios.
},
issue_date = {March 2021},
publisher = {ACM New York, NY, USA},
volume = {5},
number = {1},
pages = {1-27},
group = {ambience},
project = {radiosense,windmill}
}

We introduce Pantomime, a novel mid-air gesture recognition system exploiting spatio-temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is positioned in a unique region of the RF landscape: mid-resolution mid-range high-frequency sensing, which makes it ideal for motion gesture interaction. We configure a commercial frequency-modulated continuous-wave radar device to promote spatial information over temporal resolution by means of sparse 3D point clouds, and contribute a deep learning architecture that directly consumes the point cloud, enabling real-time performance with low computational demands. Pantomime achieves 95% accuracy and 99% AUC in a challenging set of 21 gestures articulated by 45 participants in two indoor environments, outperforming four state-of-the-art 3D point cloud recognizers. We also analyze the effect of environment, articulation speed, angle, and distance to the sensor. We conclude that Pantomime is resilient to various input conditions and that it may enable novel applications in industrial, vehicular, and smart home scenarios.

@inproceedings{salami2020MQTT,
  title={A FAIR Extension for the MQTT Protocol},
  author={Dariush Salami and Olga Streibel and Stephan Sigg},
  booktitle={16th International Conference on Mobility, Sensing and Networking (MSN 2020) },
  year={2020},
  group = {ambience},
  project={abacus}
  
}

@InProceedings{Salami_2020_MLSP, 
author = {Dariush Salami and Sameera Palipana and Manila Kodali and Stephan Sigg}, 
booktitle = {IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)}, 
title = {Motion Pattern Recognition in 4D Point Clouds},
year = {2020},
project ={radiosense,windmill},
group={ambience}
}

@article{salami2020recurrent,
  title={Recurrent convolutional neural networks for poet identification},
  author={Salami, Dariush and Momtazi, Saeedeh},
  journal={Digital Scholarship in the Humanities},
  year={2020}
}


%%% 2019 %%%

@article{momtazi2019joint,
  title={A Joint Semantic Vector Representation Model for Text Clustering and Classification},
  author={Momtazi, S and Rahbar, A and Salami, D and Khanijazani, I},
  journal={Journal of AI and Data Mining},
  volume={7},
  number={3},
  pages={443--450},
  year={2019},
  publisher={Shahrood University of Technology}
}