An MOPSO method for mapping multimedia applications onto MP-SOC architectures. - Sima Sinaei; Omid Fatemi (CCECE, 2011)

Novel Heuristic Mapping Algorithms for Design Space Exploration of Multiprocessor Embedded Architectures. - Sima Sinaei; Omid Fatemi (PDP, 2016)

Run-time resource allocation for embedded Multiprocessor System-on-Chip using tree-based design space exploration. - Sima Sinaei; Andy D. Pimentel; Omid Fatemi (DTIS, 2017)

Run-time mapping algorithm for dynamic workloads using process merging transformations. - Sima Sinaei; Omid Fatemi; Andy D. Pimentel (SAMOS, 2017)

Run-time Mapping Algorithm for Dynamic Workloads on Heterogeneous MPSoCs Platforms. - Sima Sinaei; Omid Fatemi (DSD, 2018)

Run-time mapping algorithm for dynamic workloads using association rule mining. - Sima Sinaei; Omid Fatemi (J. Syst. Archit., 2018)

NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems. - Mohammad Loni; Ali Zoljodi; Sima Sinaei; Masoud Daneshtalab; Mikael Sjödin (ICANN (1), 2019)

Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design. - Sima Sinaei; Omid Fatemi (J. Supercomput., 2019)

MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG Signal Classification. - Seyed Ahmad Mirsalari; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (ISCAS, 2020)

Multi-level Binarized LSTM in EEG Classification for Wearable Devices. - Najmeh Nazari; Seyed Ahmad Mirsalari; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (PDP, 2020)

DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems. - Mohammad Loni; Sima Sinaei; Ali Zoljodi; Masoud Daneshtalab; Mikael Sjödin (Microprocess. Microsystems, 2020)

RoCo-NAS: Robust and Compact Neural Architecture Search. - Vahid Geraeinejad; Sima Sinaei; Mehdi Modarressi; Masoud Daneshtalab (IJCNN, 2021)

ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture. - Seyed Ahmad Mirsalari; Najmeh Nazari; Seyed Ali Ansarmohammadi; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (ISCAS, 2021)

DenDrift: A Drift-Aware Algorithm for Host Profiling. - Ali Sedaghatbaf; Sima Sinaei; Perttu Ranta-aho; Marko Koskinen (CoRR, 2021)

FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks. - Seyed Ahmad Mirsalari; Najmeh Nazari; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (IEEE Des. Test, 2022)

Artificial Intelligence Enabled Distributed Edge Computing for Internet of Things. - Ali Balador; Sima Sinaei; Mats Pettersson (ERCIM News, 2022)

Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition. - Samaneh Mohammadi; Sima Sinaei; Ali Balador; Francesco Flammini (COMPSAC, 2023)

Privacy-preserving Federated Learning System for Fatigue Detection. - Mohammadreza Mohammadi; Roberto Allocca; David Eklund; Rakesh Shrestha; Sima Sinaei (CSR, 2023)

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition. - Samaneh Mohammadi; Mohammadreza Mohammadi; Sima Sinaei; Ali Balador; Ehsan Nowroozi; Francesco Flammini; Mauro Conti (FedCSIS, 2023)

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study. - Kateryna Mishchenko; Samaneh Mohammadi; Mohammadreza Mohammadi; Sima Sinaei (FMEC, 2023)

Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach. - Mohammadreza Mohammadi; Rakesh Shrestha; Sima Sinaei; Alberto Salcines; David Pampliega; Raul Clemente; Ana Lourdes Sanz (ICCBDC, 2023)

Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition. - Samaneh Mohammadi; Sima Sinaei; Ali Balador; Francesco Flammini (ISPEC, 2023)

PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection. - Sima Sinaei; Mohammadreza Mohammadi; Rakesh Shrestha; Mina Alibeigi; David Eklund (DSD, 2024)

Integrating Federated Learning and Differential Privacy for Secure Anomaly Detection in Smart Grids. - Mohammadreza Mohammadi; Rakesh Shrestha; Sima Sinaei (ICCBDC, 2024)

Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics. - Samaneh Mohammadi; Ali Balador; Sima Sinaei; Francesco Flammini (J. Parallel Distributed Comput., 2024)

Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid. - Rakesh Shrestha; Mohammadreza Mohammadi; Sima Sinaei; Alberto Salcines; David Pampliega; Raul Clemente; Ana Lourdes Sanz; Ehsan Nowroozi; Anders Lindgren (J. Parallel Distributed Comput., 2024)

A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond. - Ahmad Rahdari; Elham Keshavarz; Ehsan Nowroozi; Rahim Taheri; Mehrdad Hajizadeh; Mohammadreza Mohammadi; Sima Sinaei; Thomas Bauschert (IEEE Open J. Commun. Soc., 2025)