Nima Mohammadi

Employment

• Virginia Tech Graduate Research Assistant

Education

• Virginia Tech Ph.D. Student
• University of Tehran Master's Degree in Computer Science

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Mobile Distributed MIMO (MD-MIMO) for NextG: Mobility Meets Cooperation in Distributed Arrays
  IEEE Wireless Communications 2026 DOI: 10.1109/MWC.2026.3663529
  +Save
• Energy-Efficient Dynamic and Spatiotemporal Spectrum Access via Spiking Reservoir Computing
  IEEE Transactions on Wireless Communications 2026 DOI: 10.1109/TWC.2025.3591117
  +Save
• GraphSpecRC: A Graph-based Recurrent Learning Approach for Real-Time Spectrum Prediction
  IEEE Transactions on Wireless Communications 2026 DOI: 10.1109/TWC.2026.3716605
  +Save
• Dyna-ESN: Efficient Deep Reinforcement Learning for Partially Observable Dynamic Spectrum Access
  IEEE Transactions on Wireless Communications 2025 DOI: 10.1109/TWC.2024.3504255
  +Save
• Quantization-Aware Training of Spiking Neural Networks for Energy-Efficient Spectrum Sensing on Loihi Chip
  IEEE Transactions on Green Communications and Networking 2024 DOI: 10.1109/TGCN.2023.3337748
  +Save
• Differential Privacy Meets Federated Learning under Communication Constraints
  IEEE Internet of Things Journal 2021 DOI: 10.1109/jiot.2021.3101991
  +Save
• Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing
  2021 22nd International Symposium on Quality Electronic Design (ISQED) 2021 DOI: 10.1109/isqed51717.2021.9424267
  +Save
• Protein-protein interaction prediction by combined analysis of genomic and conservation information
  Genes Genet. Syst. 2014 DOI: 10.1266/ggs.89.259
  +Save
• Boost-wise pre-loaded mixture of experts for classification tasks
  2013 DOI: 10.1007/s00521-012-0909-2
  +Save
• Electrocardiogram beat classification via coupled boosting by filtering and preloaded mixture of experts
  2012 DOI: 10.1007/s00521-012-1063-6
  +Save
• Multiple classifier system for EEG signal classification with application to brain–computer interfaces
  2012 DOI: 10.1007/s00521-012-1074-3
  +Save