Saeedeh Parsaeefard

About Saeedeh Parsaeefard

Saeedeh Parsaeefard, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Generative AI in Wireless Networks, AI/ML in connectivity among heterogeneous devices.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-objective Energy Efficient Resource Allocation in massive multiple input multiple output-aided heterogeneous cloud radio access networks

Entropy-Aware Time-Varying Graph Neural Networks with Generalized Temporal Hawkes Process: Dynamic Link Prediction in the Presence of Node Addition and Deletion

A deep learning-based approach for cell outage compensation in NOMA networks

Spectrum sensing and resource allocation for 5G heterogeneous cloud radio access networks

Efficient Transfer Learning in 6G

Towards Interaction and Conflict Management in AI-assisted Operational Control Loops in 6G

Resource allocation in an open RAN system using network slicing

Missing data estimation in temporal multilayer position-aware graph neural network (TMP-GNN)

Saeedeh Parsaeefard Information

University

Position

___

Citations(all)

1712

Citations(since 2020)

1103

Cited By

1104

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

39

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Saeedeh Parsaeefard Skills & Research Interests

Generative AI in Wireless Networks

AI/ML in connectivity among heterogeneous devices

Top articles of Saeedeh Parsaeefard

Title

Journal

Author(s)

Publication Date

Multi-objective Energy Efficient Resource Allocation in massive multiple input multiple output-aided heterogeneous cloud radio access networks

IEEE Access

Nahid Amani

Saeedeh Parsaeefard

Halim Yanikomeroglu

2023/4/3

Entropy-Aware Time-Varying Graph Neural Networks with Generalized Temporal Hawkes Process: Dynamic Link Prediction in the Presence of Node Addition and Deletion

Machine Learning and Knowledge Extraction

Bahareh Najafi

Saeedeh Parsaeefard

Alberto Leon-Garcia

2023/10/4

A deep learning-based approach for cell outage compensation in NOMA networks

IEEE Open Journal of Vehicular Technology

Elaheh Vaezpour

Layla Majzoobi

Mohammad Akbari

Saeedeh Parsaeefard

Halim Yanikomeroglu

2022/4/5

Spectrum sensing and resource allocation for 5G heterogeneous cloud radio access networks

iet communications

Hossein Safi

Ali Mohammad Montazeri

Javane Rostampoor

Saeedeh Parsaeefard

2022/3

Efficient Transfer Learning in 6G

Saeedeh Parsaeefard

Alberto Leon-Garcia

2022/10/10

Towards Interaction and Conflict Management in AI-assisted Operational Control Loops in 6G

Saeedeh Parsaeefard

Pooyan Habibi

Alberto Leon Garcia

2022/10/10

Resource allocation in an open RAN system using network slicing

IEEE Transactions on Network and Service Management

Mojdeh Karbalaee Motalleb

Vahid Shah-Mansouri

Saeedeh Parsaeefard

Onel Luis Alcaraz López

2022/9/13

Missing data estimation in temporal multilayer position-aware graph neural network (TMP-GNN)

Machine Learning and Knowledge Extraction

Bahareh Najafi

Saeedeh Parsaeefard

Alberto Leon-Garcia

2022/4/30

Near-optimal robust virtual controller placement in 5G software defined networks

IEEE Transactions on Network Science and Engineering

Ehsan Tohidi

Saeedeh Parsaeefard

Mohammad Ali Maddah-Ali

Babak Hossein Khalaj

Alberto Leon-Garcia

2021/3/25

Toward efficient transfer learning in 6G

arXiv preprint arXiv:2107.05728

Saeedeh Parsaeefard

Alberto Leon-Garcia

2021/7/12

Generalized ADMM in Distributed Learning via Variational Inequality

arXiv preprint arXiv:2104.12608

Saeedeh Parsaeefard

Alberto Leon Garcia

2021/4/26

Robust federated learning by mixture of experts

arXiv preprint arXiv:2104.11700

Saeedeh Parsaeefard

Sayed Ehsan Etesami

Alberto Leon Garcia

2021/4/23

Energy efficiency through joint routing and function placement in different modes of SDN/NFV networks

Computer Networks

Reza Moosavi

Saeedeh Parsaeefard

Mohammad Ali Maddah-Ali

Vahid Shah-Mansouri

Babak Hossein Khalaj

...

2021/12/9

B-DNS: A Secure and Efficient DNS Based on the Blockchain Technology

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING

Ehsan Tohidi

Saeedeh Parsaeefard

Mohammad Ali Maddah-Ali

Babak Hossein Khalaj

Alberto Leon-Garcia

2021/4/1

Autoencoder-bank based design for adaptive channel-blind robust transmission

EURASIP Journal on Wireless Communications and Networking

Hossein Safi

Mohammad Akbari

Elaheh Vaezpour

Saeedeh Parsaeefard

Raed M Shubair

2021/3/6

Distributed controller-switch assignment in 5G networks

IEEE Transactions on Network and Service Management

Ehsan Tohidi

Saeedeh Parsaeefard

Ali Akbar Hemmati

Mohammad Ali Maddah-Ali

Babak Hossein Khalaj

...

2021/3/26

Interaction and Conflict Management in AI-assisted Operational Control Loops in 6G

arXiv preprint arXiv:2110.12025

Saeedeh Parsaeefard

Pooyan Habibi

Alberto Leon Garcia

2021/10/22

Cloud-based queuing model for tactile internet in next generation of RAN

Narges Gholipoor

Saeedeh Parsaeefard

Mohammad Reza Javan

Nader Mokari

Hamid Saeedi

...

2020/5/25

Completion-time-driven scheduling for uplink NOMA-enabled wireless networks

IEEE Communications Letters

Maryam Mohsenivatani

Ye Liu

Mahsa Derakhshani

Saeedeh Parsaeefard

Sangarapillai Lambotharan

2020/4/13

Queue based Resource Allocation for Tactile Services

Sanaz Moazzami Goudarzi

Behrad Mahboobi

Saeedeh Parsaeefard

2020/12/15

See List of Professors in Saeedeh Parsaeefard University(University of Toronto)

Co-Authors

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