Comparision Fuzzy Scheme in Sensor Network Localization among Heuristic-Based Techniques. - Sanaz Kianoush (BroadBandCom, 2009)

Location based routing protocol exploiting heterogeneous primary users in cognitive radio networks. - Anna Vizziello; Sanaz Kianoush; Lorenzo Favalli; Paolo Gamba (ICC, 2013)

A cooperative localization algorithm exploiting a mobile device in cognitive radio networks. - Sanaz Kianoush; Anna Vizziello; Paolo Gamba (EuCNC, 2014)

Leveraging RF signals for human sensing: Fall detection and localization in human-machine shared workspaces. - Sanaz Kianoush; Stefano Savazzi; Federico Vicentini; Vittorio Rampa; Matteo Giussani (INDIN, 2015)

A dynamic Bayesian network approach for device-free radio vision: Modeling, learning and inference for body motion recognition. - Stefano Savazzi; Sanaz Kianoush; Vittorio Rampa (ICASSP, 2016)

Pre-deployment performance assessment of device-free radio localization systems. - Sanaz Kianoush; Vittorio Rampa; Stefano Savazzi; Monica Nicoli (ICC Workshops, 2016)

Towards a factory-of-things: Channel modeling and deployment assessment in PetroEcuador Esmeraldas oil refinery. - Stefano Savazzi; Boris Ramos; Jean Michel Winter; Sanaz Kianoush; Vittorio Rampa; Edison Del Rosario; T. Chavez; Oscar Cevallos (LATINCOM, 2016)

Device-Free Radio Vision for Assisted Living: Leveraging wireless channel quality information for human sensing Wireless propagation is conventionally considered as the enabling tool for transporting information. - Stefano Savazzi; Stephan Sigg; Monica Nicoli; Vittorio Rampa; Sanaz Kianoush; Umberto Spagnolini (IEEE Signal Process. Mag., 2016)

Energy-Efficient and Mobile-Aided Cooperative Localization in Cognitive Radio Networks. - Sanaz Kianoush; Anna Vizziello; Paolo Gamba (IEEE Trans. Veh. Technol., 2016)

Tracking of frequency selectivity for device-free detection of multiple targets. - Sanaz Kianoush; Stefano Savazzi; Vittorio Rampa (ICC Workshops, 2017)

Is someone moving around my cell-phone? Tracing cellular signals for passive motion detection. - Stefano Savazzi; Sanaz Kianoush; Vittorio Rampa; Umberto Spagnolini (PerCom Workshops, 2017)

Device-Free RF Human Body Fall Detection and Localization in Industrial Workplaces. - Sanaz Kianoush; Stefano Savazzi; Federico Vicentini; Vittorio Rampa; Matteo Giussani (IEEE Internet Things J., 2017)

A cloud-IoT model for reconfigurable radio sensing: The Radio.Sense platform. - Stefano Savazzi; Stephan Sigg; Monica Nicoli; Sanaz Kianoush; Franck Le Gall; Hamza Baqa; David Remon (WF-IoT, 2018)

Device-free Crowd Sensing in Dense WiFi MIMO Networks: Channel Features and Machine Learning Tools. - Sanaz Kianoush; Stefano Savazzi; Monica Nicoli (WPNC, 2018)

Cellular Data Analytics for Detection and Discrimination of Body Movements. - Stefano Savazzi; Sanaz Kianoush; Vittorio Rampa; Umberto Spagnolini (IEEE Access, 2018)

Leveraging MIMO-OFDM radio signals for device-free occupancy inference: system design and experiments. - Sanaz Kianoush; Stefano Savazzi; Vittorio Rampa (EURASIP J. Adv. Signal Process., 2018)

A Cloud-IoT Platform for Passive Radio Sensing: Challenges and Application Case Studies. - Sanaz Kianoush; Muneeba Raja; Stefano Savazzi; Stephan Sigg (IEEE Internet Things J., 2018)

Capturing Human-Machine Interaction Events from Radio Sensors in Industry 4.0 Environments. - Stephan Sigg; Sameera Palipana; Stefano Savazzi; Sanaz Kianoush (Business Process Management Workshops, 2019)

Passive Detection and Discrimination of Body Movements in the sub-THz Band: A Case Study. - Sanaz Kianoush; Stefano Savazzi; Vittorio Rampa (ICASSP, 2019)

Occupancy Pattern Recognition with Infrared Array Sensors: A Bayesian Approach to Multi-body Tracking. - Stefano Savazzi; Vittorio Rampa; Sanaz Kianoush; Alberto Minora; Leonardo Costa (ICASSP, 2019)

Pattern reconfigurable antennas for passive motion detection: WiFi test-bed and first studies. - Stefano Savazzi; Vittorio Rampa; Sanaz Kianoush; Daniele Piazza (PIMRC, 2019)

Distributed signal processing for dense 5G IoT platforms: Networking, synchronization, interference detection and radio sensing. - Gloria Soatti; Stefano Savazzi; Monica Nicoli; Maria Antonieta Alvarez; Sanaz Kianoush; Vittorio Rampa; Umberto Spagnolini (Ad Hoc Networks, 2019)

On the Use of Stray Wireless Signals for Sensing: A Look Beyond 5G for the Next Generation of Industry. - Stefano Savazzi; Stephan Sigg; Federico Vicentini; Sanaz Kianoush; Rainhard D. Findling (Computer, 2019)

People Counting by Dense WiFi MIMO Networks: Channel Features and Machine Learning Algorithms. - Sanaz Kianoush; Stefano Savazzi; Vittorio Rampa; Monica Nicoli (Sensors, 2019)

A Joint Decentralized Federated Learning and Communications Framework for Industrial Networks. - Stefano Savazzi; Sanaz Kianoush; Vittorio Rampa; Mehdi Bennis (CAMAD, 2020)

Federated Learning with Mutually Cooperating Devices: A Consensus Approach Towards Server-Less Model Optimization. - Stefano Savazzi; Monica Nicoli; Vittorio Rampa; Sanaz Kianoush (ICASSP, 2020)

Processing of body-induced thermal signatures for physical distancing and temperature screening. - Stefano Savazzi; Vittorio Rampa; Leonardo Costa; Sanaz Kianoush; Denis Tolochenko (CoRR, 2020)

Calibration-free target detection based on thermal and distance sensor fusion. - Sanaz Kianoush; Stefano Savazzi; Vittorio Rampa; Leonardo Costa; Denis Tolochenko (IEEE SENSORS, 2021)

A framework for energy and carbon footprint analysis of distributed and federated edge learning. - Stefano Savazzi; Sanaz Kianoush; Vittorio Rampa; Mehdi Bennis (PIMRC, 2021)

Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems. - Stefano Savazzi; Monica Nicoli; Mehdi Bennis; Sanaz Kianoush; Luca Barbieri (IEEE Commun. Mag., 2021)

A Multisensory Edge-Cloud Platform for Opportunistic Radio Sensing in Cobot Environments. - Sanaz Kianoush; Stefano Savazzi; Manuel Beschi; Stephan Sigg; Vittorio Rampa (IEEE Internet Things J., 2021)

On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning. - Stefano Savazzi; Vittorio Rampa; Sanaz Kianoush; Mehdi Bennis (PIMRC, 2022)

A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification. - Luca Barbieri; Stefano Savazzi; Sanaz Kianoush; Monica Nicoli; Luigi Serio (CAMAD, 2023)

Radar and Infra-Red array Sensor Fusion in a Robotized Environment: An Experimental Study. - Alberto Minora; Leonardo Costa; Denys Tolochenko; Sanaz Kianoush; Vittorio Rampa; Stefano Savazzi (ICIT, 2023)

Cooperation and Federation in Distributed Radar Point Cloud Processing. - Stefano Savazzi; Vittorio Rampa; Sanaz Kianoush; Alberto Minora; Leonardo Costa (PIMRC, 2023)

User Location Uncertainty in RIS-Aided Channel Optimization. - Sanaz Kianoush; Laura Dossi; Roberto Nebuloni; Alessandro Nordio; Stefano Savazzi (WPMC, 2023)

An Energy and Carbon Footprint Analysis of Distributed and Federated Learning. - Stefano Savazzi; Vittorio Rampa; Sanaz Kianoush; Mehdi Bennis (IEEE Trans. Green Commun. Netw., 2023)

Federated learning based on asynchronous and adjusted client training. - Mingjun Dai; Yinglin Zhao; Jialong Yuan; Sanaz Kianoush; Stefano Savazzi; Bingchun Li (Phys. Commun., 2023)

A Federated Learning Approach For Operator Monitoring in Heterogeneous Cobot Environments. - Sanaz Kianoush; Alberto Minora; Stefano Savazzi; Mingjun Dai (ETFA, 2024)

A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers. - Diogo Reis Santos; Albert Sund Aillet; Antonio Boiano; Usevalad Milasheuski; Lorenzo Giusti; Marco Di Gennaro; Sanaz Kianoush; Luca Barbieri; Monica Nicoli; Michele Carminati; Alessandro E. C. Redondi; Stefano Savazzi; et al. (HealthCom, 2024)

A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications. - Antonio Boiano; Marco Di Gennaro; Luca Barbieri; Michele Carminati; Monica Nicoli; Alessandro Redondi; Usevalad Milasheuski; Sanaz Kianoush; Stefano Savazzi; Albert Sund Aillet; Diogo Reis Santos; Luigi Serio (WiMob, 2024)

An Initial Study of Human-Scale Blockage in sub-THz Radio Propagation with Application to Indoor Passive Localization. - Fabio Paonessa; Giuseppe Virone; Sanaz Kianoush; Alessandro Nordio; Stefano Savazzi (CoRR, 2024)

Advancing Passive Localization via beamsteering in Near-Field ISAC Systems. - Sanaz Kianoush; Davide Scazzoli; Stefano Savazzi; Roberto Nebuloni; P. Pirinoli; Maurizio Magarini (SSP, 2025)

Bayesian Federated Learning for Continual Training. - Usevalad Milasheuski; Luca Barbieri; Sanaz Kianoush; Monica Nicoli; Stefano Savazzi (SSP, 2025)

A Close Look at the Communication Efficiency and the Energy Footprints of Robust Federated Learning in Industrial IoT. - Luca Barbieri; Sanaz Kianoush; Monica Nicoli; Luigi Serio; Stefano Savazzi (IEEE Internet Things J., 2025)