What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Nadeem Javaid focuses on Computer network, Routing protocol, Wireless sensor network, Smart grid and Energy consumption.
His Computer network research incorporates elements of Wireless, Throughput and Key distribution in wireless sensor networks.
Nadeem Javaid interconnects Energy conservation, Transmission loss and Path loss in the investigation of issues within Routing protocol.
His Wireless sensor network research is multidisciplinary, relying on both Cluster analysis, Energy, Protocol, Base station and Efficient energy use.
The study incorporates disciplines such as Electricity, Energy management, Genetic algorithm, Mathematical optimization and Scheduling in addition to Smart grid.
In his work, Transmission and Quality of service is strongly intertwined with Network packet, which is a subfield of Energy consumption.
His most cited work include:
- A review of wireless communications for smart grid (179 citations)
- Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources (164 citations)
- iAMCTD: improved adaptive mobility of courier nodes in threshold-optimized DBR protocol for underwater wireless sensor networks (148 citations)
What are the main themes of his work throughout his whole career to date?
Nadeem Javaid mainly investigates Computer network, Smart grid, Energy consumption, Routing protocol and Wireless sensor network.
His study in Computer network is interdisciplinary in nature, drawing from both Efficient energy use and Throughput.
His Smart grid research is multidisciplinary, incorporating elements of Electricity, Energy management system, Energy management, Mathematical optimization and Scheduling.
As part of his studies on Energy consumption, he often connects relevant subjects like Real-time computing.
In Routing protocol, Nadeem Javaid works on issues like Distributed computing, which are connected to Cloud computing.
The Wireless sensor network study combines topics in areas such as Wireless, Cluster analysis, Key distribution in wireless sensor networks, Energy and Node.
He most often published in these fields:
- Computer network (40.42%)
- Smart grid (31.39%)
- Energy consumption (26.65%)
What were the highlights of his more recent work (between 2018-2021)?
- Smart grid (31.39%)
- Electricity (15.97%)
- Computer network (40.42%)
In recent papers he was focusing on the following fields of study:
Nadeem Javaid mostly deals with Smart grid, Electricity, Computer network, Energy management and Energy consumption.
His research in Smart grid intersects with topics in Data mining, Artificial neural network, Mathematical optimization, Scheduling and Feature selection.
His biological study spans a wide range of topics, including Electricity generation, Reliability engineering, Energy management system and Mean absolute percentage error.
The various areas that he examines in his Computer network study include Efficient energy use and Blockchain.
His studies in Energy management integrate themes in fields like Electric power system, Real-time computing, Cloud computing and Microgrid, Renewable energy.
As a part of the same scientific study, Nadeem Javaid usually deals with the Network packet, concentrating on Throughput and frequently concerns with Communication channel.
Between 2018 and 2021, his most popular works were:
- Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids (49 citations)
- A Blockchain Model for Fair Data Sharing in Deregulated Smart Grids (35 citations)
- Fuzzy energy management controller and scheduler for smart homes (35 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
His primary areas of investigation include Smart grid, Electricity, Energy consumption, Mathematical optimization and Computer network.
His work deals with themes such as Energy management system, Energy management, Electricity generation, Scheduling and Feature selection, which intersect with Smart grid.
His Energy management study combines topics from a wide range of disciplines, such as Distributed computing and Microgrid.
His biological study spans a wide range of topics, including Deep learning, Artificial intelligence and Renewable energy.
His work is dedicated to discovering how Energy consumption, Knapsack problem are connected with Genetic algorithm and other disciplines.
His Computer network research includes elements of Blockchain and Smart contract.
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