Mahdi Nazemi - Concepedia

Author

Mahdi Nazemi

University of Southern California ORCID

Also Known As

Fayyazi, Arash, Mahdi Nazemi, Massoud Pedram, Nazemi, Mahdi, Pedram, Massoud

Publications

255

Citations

H-Index

Concepts

All Affiliations

University of Southern California Southern California University for Professional Studies

About

Mahdi Nazemi is an author at University of Southern California specializing in computer engineering, engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	212
2	Computer Engineering	10	10	212
3	Computer Science	9	9	199
4	Data Science	3	3	37
5	Social Sciences	2	2	27

Mahdi Nazemi

Publications

212

Citations

H-Index

Page 1

	Year	Citations
FFT-based deep learning deployment in embedded systems Sheng Lin, Ning Liu, Mahdi Nazemi, Convolutional Neural NetworkDeep Neural NetworksEngineeringMachine LearningHardware Acceleration	2018	60
Energy-efficient, low-latency realization of neural networks through boolean logic minimization Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningBoolean Function	2019	37
DNR Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Convolutional Neural NetworkImage AnalysisMachine LearningEngineeringSparse Neural Network	2021	25
ThermTap: An online power analyzer and thermal simulator for Android devices Mohammad Javad Dousti, Majid Ghasemi-Gol, Mahdi Nazemi, Android DevicesEngineeringOnline Power AnalyzerEnergy EfficiencySoftware Engineering	2015	17
SynergicLearning Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, EngineeringMachine LearningNeural Networks (Machine Learning)Machine Learning ToolComputer Architecture	2020	14
Therminator 2: A Fast Thermal Simulator for Portable Devices Mohammad Javad Dousti, Qing Xie, Mahdi Nazemi, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems EngineeringEnergy EfficiencySimulationHardware SystemsRefrigeration	2021	13
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, EngineeringMachine LearningNeural Networks (Machine Learning)Hardware AlgorithmComputer Architecture	2021	13
NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2018	12
NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference. Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2018	11
Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram EngineeringEnergy EfficiencyPower Optimization (Eda)Real-time System DesignComputer Architecture	2019	10

Page 1