Sima Sinaei - RankMe

31 papers B 3C 9Misc 1Journal 11Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	C	`conf`	Communication-Efficient Federated Learning Framework for Autonomous Vehicles. ICCE Sima Sinaei, Mohammadreza Mohammadi, Mina Alibeigi
2025	J	`jnl`	A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond. IEEE Open J. Commun. Soc. Ahmad Rahdari, Elham Keshavarz, Ehsan Nowroozi, Rahim Taheri, Mehrdad Hajizadeh, Mohammadreza Mohammadi, Sima Sinaei, Thomas Bauschert
2025	B	`conf`	Privacy Enhancing Federated Learning for Predicting Energy Consumption in Smart Buildings. IJCNN Sima Sinaei, Mohammadreza Mohammadi, David Eklund, Henrik Abrahamsson
2024	J	`jnl`	Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid. J. Parallel Distributed Comput. Rakesh Shrestha, Mohammadreza Mohammadi, Sima Sinaei, Alberto Salcines, David Pampliega, Raul Clemente, Ana Lourdes Sanz, Ehsan Nowroozi, Anders Lindgren
2024	J	`jnl`	Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics. J. Parallel Distributed Comput. Samaneh Mohammadi, Ali Balador, Sima Sinaei, Francesco Flammini
2024	—	`conf`	Integrating Federated Learning and Differential Privacy for Secure Anomaly Detection in Smart Grids. ICCBDC Mohammadreza Mohammadi, Rakesh Shrestha, Sima Sinaei
2024	C	`conf`	PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection. DSD Sima Sinaei, Mohammadreza Mohammadi, Rakesh Shrestha, Mina Alibeigi, David Eklund
2023	—	`conf`	Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach. ICCBDC Mohammadreza Mohammadi, Rakesh Shrestha, Sima Sinaei, Alberto Salcines, David Pampliega, Raul Clemente, Ana Lourdes Sanz
2023	C	`conf`	Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition. FedCSIS Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei, Ali Balador, Ehsan Nowroozi, Francesco Flammini, Mauro Conti
2023	—	`conf`	Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study. FMEC Kateryna Mishchenko, Samaneh Mohammadi, Mohammadreza Mohammadi, Sima Sinaei
2023	B	`conf`	Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition. COMPSAC Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini
2023	Misc	`conf`	Privacy-preserving Federated Learning System for Fatigue Detection. CSR Mohammadreza Mohammadi, Roberto Allocca, David Eklund, Rakesh Shrestha, Sima Sinaei
2023	C	`conf`	Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition. ISPEC Samaneh Mohammadi, Sima Sinaei, Ali Balador, Francesco Flammini
2022	J	`jnl`	Artificial Intelligence Enabled Distributed Edge Computing for Internet of Things. ERCIM News Ali Balador, Sima Sinaei, Mats Pettersson
2022	J	`jnl`	FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks. IEEE Des. Test Seyed Ahmad Mirsalari, Najmeh Nazari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
2021	J	`jnl`	DenDrift: A Drift-Aware Algorithm for Host Profiling. CoRR Ali Sedaghatbaf, Sima Sinaei, Perttu Ranta-aho, Marko Koskinen
2021	C	`conf`	ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture. ISCAS Seyed Ahmad Mirsalari, Najmeh Nazari, Seyed Ali Ansarmohammadi, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
2021	B	`conf`	RoCo-NAS: Robust and Compact Neural Architecture Search. IJCNN Vahid Geraeinejad, Sima Sinaei, Mehdi Modarressi, Masoud Daneshtalab
2020	J	`jnl`	DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems. Microprocess. Microsystems Mohammad Loni, Sima Sinaei, Ali Zoljodi, Masoud Daneshtalab, Mikael Sjödin
2020	C	`conf`	MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG Signal Classification. ISCAS Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
2020	J	`jnl`	MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification. CoRR Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
2020	C	`conf`	Multi-level Binarized LSTM in EEG Classification for Wearable Devices. PDP Najmeh Nazari, Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
2020	J	`jnl`	Multi-level Binarized LSTM in EEG Classification for Wearable Devices. CoRR Najmeh Nazari, Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
2019	J	`jnl`	Multi-objective algorithms for the application mapping problem in heterogeneous multiprocessor embedded system design. J. Supercomput. Sima Sinaei, Omid Fatemi
2019	—	`conf`	NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems. ICANN (1) Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin
2018	C	`conf`	Run-time Mapping Algorithm for Dynamic Workloads on Heterogeneous MPSoCs Platforms. DSD Sima Sinaei, Omid Fatemi
2018	J	`jnl`	Run-time mapping algorithm for dynamic workloads using association rule mining. J. Syst. Archit. Sima Sinaei, Omid Fatemi
2017	—	`conf`	Run-time mapping algorithm for dynamic workloads using process merging transformations. SAMOS Sima Sinaei, Omid Fatemi, Andy D. Pimentel
2017	—	`conf`	Run-time resource allocation for embedded Multiprocessor System-on-Chip using tree-based design space exploration. DTIS Sima Sinaei, Andy D. Pimentel, Omid Fatemi
2016	C	`conf`	Novel Heuristic Mapping Algorithms for Design Space Exploration of Multiprocessor Embedded Architectures. PDP Sima Sinaei, Omid Fatemi
2011	—	`conf`	An MOPSO method for mapping multimedia applications onto MP-SOC architectures. CCECE Sima Sinaei, Omid Fatemi