A Fuzzy Realistic Mobility Model For Ad hoc Networks - Alireza Amirshahi; Mahmood Fathy; Morteza Romoozi; Mohammad Assarian (CoRR, 2011)

Ultra Low-Power and Real-time ECG Classification Based on STDP and R-STDP Neural Networks for Wearable Devices. - Alireza Amirshahi; Matin Hashemi (CoRR, 2019)

ECG Classification Algorithm Based on STDP and R-STDP Neural Networks for Real-Time Monitoring on Ultra Low-Power Personal Wearable Devices. - Alireza Amirshahi; Matin Hashemi (IEEE Trans. Biomed. Circuits Syst., 2019)

Anycast routing in time-expanded vehicular networks. - Alireza Amirshahi; Morteza Romoozi; Mohammad Ali Raayatpanah; Seyyed Amir Asghari (Comput. Electr. Eng., 2020)

Modeling Geographical Anycasting Routing in Vehicular Networks. - Alireza Amirshahi; Morteza Romoozi; Mohammad Ali Raayatpanah; Seyyed Amir Asghari (KSII Trans. Internet Inf. Syst., 2020)

EpilepsyGAN: Synthetic Epileptic Brain Activities With Privacy Preservation. - Damián Pascual; Alireza Amirshahi; Amir Aminifar; David Atienza; Philippe Ryvlin; Roger Wattenhofer (IEEE Trans. Biomed. Eng., 2021)

Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems. - Saleh Baghersalimi; Alireza Amirshahi; Farnaz Forooghifar; Tomás Teijeiro; Amir Aminifar; David Atienza (CoRR, 2022)

TiC-SAT: Tightly-Coupled Systolic Accelerator for Transformers. - Alireza Amirshahi; Joshua Alexander Harrison Klein; Giovanni Ansaloni; David Atienza (ASP-DAC, 2023)

Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States. - Alireza Amirshahi; Nicolas Kirsch; Jonathan Reymond; Saleh Baghersalimi (SDS, 2023)

Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. - Jingwei Sun 002; Zhixu Du; Anna Dai; Saleh Baghersalimi; Alireza Amirshahi; David Atienza; Yiran Chen 001 (CoRR, 2023)

M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities. - Alireza Amirshahi; Anthony Hitchcock Thomas; Amir Aminifar; Tajana Rosing; David Atienza (IEEE J. Biomed. Health Informatics, 2023)

PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. - Jingwei Sun 002; Zhixu Du; Anna Dai; Saleh Baghersalimi; Alireza Amirshahi; David Atienza; Yiran Chen 001 (IEEE Big Data, 2024)

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems. - Alireza Amirshahi; Jonathan Dan; Jose Angel Miranda; Amir Aminifar; David Atienza (CHIL, 2024)

FVLLMONTI: The 3D Neural Network Compute Cube $(N^{2}C^{2})$ Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation. - Ian O'Connor; Sara Mannaa; Alberto Bosio; Bastien Deveautour; Damien Deleruyelle; Tetiana Obukhova; Cédric Marchand 002; Jens Trommer; Çigdem Çakirlar; Bruno Neckel Wesling; Thomas Mikolajick; Oskar Baumgartner; et al. (DATE, 2024)

Accelerator-Driven Data Arrangement to Minimize Transformers Run-Time on Multi-Core Architectures. - Alireza Amirshahi; Giovanni Ansaloni; David Atienza (PARMA-DITAM, 2024)

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms. - Jonathan Dan; Una Pale; Alireza Amirshahi; William Cappelletti; Thorir Mar Ingolfsson; Xiaying Wang; Andrea Cossettini; Adriano Bernini; Luca Benini; Sándor Beniczky; David Atienza; Philippe Ryvlin (CoRR, 2024)

MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots. - Alireza Amirshahi; Maedeh H. Toosi; Siamak Mohammadi; Stefano Albini; Pasquale Davide Schiavone; Giovanni Ansaloni; Amir Aminifar; David Atienza (CoRR, 2024)

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems. - Saleh Baghersalimi; Alireza Amirshahi; Farnaz Forooghifar; Tomás Teijeiro; Amir Aminifar; David Atienza (ACM Trans. Intell. Syst. Technol., 2024)

Enabling Deep Learning Models for Seizure Monitoring within Wearables Lifecycle. - Alireza Amirshahi (2025)