Emerging Application of Machine Learning in Wireless Networks
Cognitive Radio Networks
Spiking Neural Networks and Neuromorphic Computing
Distributed/Federated Learning
Differential Privacy
Explainable AI
Education:
M.Sc. in Computer Science, University of Tehran, Tehran, Iran, 2017
B.Sc. in Computer Engineering, SRTTU, Tehran, Iran, 2013
Publications:
Mohammadi N, Bai J, Fan Q, Song Y, Yi Y, Liu L. Differential Privacy Meets Federated Learn-ing under Communication Constraints. IEEE Internet of Things Journal. 2021 Aug.
Mohammadi N, Liu L, Yi Y, Policy-based Fully Spiking Reservoir Computing for Multi-AgentDistributed Dynamic Spectrum Access. In 2022 IEEE International Conference on Commu-nications (ICC): Green Communication Systems and Networks Symposium (IEEE ICC’22 -GCSN Symposium)
Zheng H,Mohammadi N, Bai K, Yi Y. Low-power Analog and Mixed-signal IC Design of Mul-tiplexing Neural Encoder in Neuromorphic Computing. In 2021 22nd IEEE InternationalSymposium on Quality Electronic Design (ISQED) 2021 Apr 7.
Emamjomeh A, Goliaei B, Torkamani A, Ebrahimpour R,Mohammadi N, Parsian A. Protein-protein interaction prediction by combined analysis of genomic and conservation informa-tion. Genes & genetic systems. 2014;89(6):259-72.
Ahangi A, Karamnejad M,Mohammadi N, Ebrahimpour R, Bagheri N. Multiple classifier sys-tem for EEG signal classification with application to brain-computer interfaces. Neural Computing and Applications. 2013 Oct 1;23(5):1319-27.
Ebrahimpour R, Sadeghnejad N, Arani SA,Mohammadi N. Boost-wise pre-loaded mixture ofexperts for classification tasks. Neural Computing and Applications. 2013 May 1;22(1):365-77.
