Mohammad Hossein Rezvani (0000-0002-0292-7008)

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Mohammad Hossein Rezvani was born in 1975 in Tehran, Iran. He is currently a faculty member of Computer and Information Technology Engineering at Qazvin Branch of Islamic Azad University (IAU), Qazvin, Iran. He received a B.Sc. in hardware engineering from Amirkabir University of Technology (Tehran Polytechnics) in 1999, and M.Sc. degree in computer engineering from Iran University of Science and Technology (IUST) in 2002. He received his Ph.D. degree in computer engineering from IUST in 2011. In February 2012, Dr. Rezvani joined Iran Computer and Video Games Foundation (ICVGF) as an R&D consultant. He cooperated with an academic work-group in ICVGF to develop a new academic major, named “Computer Game Design”. After approval of the new major in 2012, Dr. Rezvani was the dean of department of "Computer Game Development" in ICVGF, a branch of the “University of Applied Science and Technology (UAST)” in Tehran, Iran, until 2016. His major research interest is high performance computing (HPC) with the topics such as performance analysis, analytical modeling, optimization of computer networks, economic network modeling, convex optimization, and metaheuristic approaches. He also is interested in E-marketing behavioral measurement and assessment, and quantitative E-marketing researches.

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Qazvin Islamic Azad University: Qazvin, Qazvin, IR

2015 to present | Assistant Professor (Computer Engineering and Information Technology)

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Mohammad Hossein Rezvani

https://orcid.org/0000-0002-0292-7008

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Employment (2)

Qazvin Islamic Azad University: Qazvin, Qazvin, IR

University of Applied Science and Technology: Tehran, Tehran, IR

Education and qualifications (3)

Iran University of Science and Technology: Tehran, Tehran, IR

Iran University of Science and Technology: Tehran, Tehran, IR

Amirkabir University of Technology: Tehran, Tehran, IR

Works (50 of 52)

An optimal context-aware content-based movie recommender system using genetic algorithm: a case study on MovieLens dataset

A robust beamforming with antenna selection approach for dense antenna arrays under limited CSI

Entropy‐aware energy‐efficient virtual machine placement in cloud environments using type information

Machine learning methods for service placement: a systematic review

Multiobjective Offloading Optimization in Fog Computing Using Deep Reinforcement Learning

Reinforcement Learning Methods for Computation Offloading: A Systematic Review

Machine learning-based computation offloading in edge and fog: a systematic review

Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry

Joint optimization of energy consumption and time delay in IoT-fog-cloud computing environments using NSGA-II metaheuristic algorithm

An Auction-Based Bid Prediction Mechanism for Fog-Cloud Offloading Using Q-Learning

Energy-aware and carbon-efficient VM placement optimization in cloud datacenters using evolutionary computing methods

A bartering double auction resource allocation model in cloud environments

Partial offloading with stable equilibrium in fog-cloud environments using replicator dynamics of evolutionary game theory

An Optimized Message Routing Approach Inspired by the Landlord-Peasants Game in Disruption-tolerant Networks

Energy-aware and Carbon-efficient VM Placement Optimization in Cloud Datacenters Using Evolutionary Computing Methods

An Incentive-Compatible Routing Protocol for Delay-Tolerant Networks Using Second-Price Sealed-Bid Auction Mechanism

An Incentive-Compatible Offloading Mechanism in Fog-Cloud Environments Using Second-Price Sealed-Bid Auction

Delay-aware optimization of energy consumption for task offloading in fog environments using metaheuristic algorithms

An optimized content delivery approach based on demand–supply theory in disruption-tolerant networks

Utilization-aware energy-efficient virtual machine placement in cloud networks using NSGA-III meta-heuristic approach

A novel optimized approach for resource reservation in cloud computing using producer–consumer theory of microeconomics

Multi-objective virtual network function placement using NSGA-II meta-heuristic approach

RBCRP: A Routing Approach Based on Crowded Rendezvous Points in Delay Tolerant Networks

Optimization of virtual machines placement based on microeconomics theory in cloud network

Gamers' Behaviour and Communication Analysis in Massively Multiplayer Online Games: A Survey

Cloud Computing Security Solution Based on GRC Method and Fully Homomorphic Encryption Algorithm in a Private Cloud

A framework for resource allocation in multi-service multi-rate overlay networks based on microeconomic theory

An economic auction-based mechanism for multi-service overlay multicast networks

Microeconomics-based resource allocation in overlay networks by using non-strategic behavior modeling

Strategic behavior modeling of multi-service overlay multicast networks based on auction mechanism design

Toward microeconomic allocation of resources in multi-service overlay networks

Towards strategic bandwidth sharing in overlay multicast networks based on mechanism design theory

Towards strategic resource allocation in overlay networks based on monopoly auction mechanism

A case for content distribution in peer-to-peer networks

A case for multi-service overlay multicast networks based on auction mechanism

A non-strategic microeconomic model for single-service multi-rate application layer multicast

An economic case for end system multicast

An economic model for multi-service overlay multicast networks based on walrasian general equilibrium

An information economy for single-service application layer multicast networks

Probabilistic proximity-aware resource location in peer-to-peer networks using resource replication

Rate allocation in overlay networks based on theory of firm consumer

Towards microeconomic resource sharing in end system multicast networks based on Walrasian general equilibrium

Towards microeconomic resources allocation in overlay networks

A simulation-based study on memory design issues for embedded systems

Performance evaluation of decision tree for intrusion detection using reduced feature spaces

A simulation-based study of 2-level TLB and cache performance of the SPEC CPU2000 benchmarks

Hierarchical classifier combination and its application in networks intrusion detection

Hierarchical two-tier ensemble learning: A new paradigm for network intrusion detection

Performance analysis of decision tree for intrusion detection with reduced DARPA offline feature sets

Performance evaluation of cache memory organizations in embedded systems

Peer review (99 reviews for 19 publications/grants)