What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
Computer network, Distributed computing, Network packet, Energy consumption and Artificial intelligence are his primary areas of study.
His Computer network research includes themes of Wireless network, Cloud computing and The Internet.
In Distributed computing, he works on issues like Network topology, which are connected to Topology control.
His studies in Energy consumption integrate themes in fields like Energy conservation, Cellular network, Relay, Base station and Renewable energy.
His Artificial intelligence research includes elements of Algorithm, Computer vision and Pattern recognition.
His work in Information hiding tackles topics such as Digital watermarking which are related to areas like Pixel and Distortion.
His most cited work include:
- Reversible data hiding (1888 citations)
- A genetic algorithm for multiprocessor scheduling (628 citations)
- EdgeIoT: Mobile Edge Computing for the Internet of Things (340 citations)
What are the main themes of his work throughout his whole career to date?
Nirwan Ansari mainly focuses on Computer network, Distributed computing, Quality of service, Base station and Network packet.
His Computer network research incorporates elements of Wireless, Wireless network and Energy consumption.
Nirwan Ansari focuses mostly in the field of Energy consumption, narrowing it down to topics relating to Renewable energy and, in certain cases, Energy.
Nirwan Ansari has researched Distributed computing in several fields, including Wireless ad hoc network, Scheduling, Cloud computing and Network topology.
His Quality of service research focuses on subjects like The Internet, which are linked to Computer security.
His research integrates issues of Heterogeneous network, Cellular network, Spectral efficiency and Throughput in his study of Base station.
He most often published in these fields:
- Computer network (56.58%)
- Distributed computing (18.05%)
- Quality of service (17.50%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer network (56.58%)
- Base station (11.53%)
- Energy consumption (10.18%)
In recent papers he was focusing on the following fields of study:
Nirwan Ansari mainly investigates Computer network, Base station, Energy consumption, Distributed computing and Cloud computing.
His work carried out in the field of Computer network brings together such families of science as Wireless, Wireless network and Cloudlet.
His biological study spans a wide range of topics, including Spectral efficiency, Cellular network, Throughput and Heterogeneous network.
In his study, which falls under the umbrella issue of Energy consumption, Energy, Energy harvesting and Smart grid is strongly linked to Renewable energy.
His work deals with themes such as Optimization problem, Scheduling and Mobile computing, which intersect with Distributed computing.
His Cloud computing research integrates issues from Enhanced Data Rates for GSM Evolution, Radio access network, Provisioning and Server.
Between 2015 and 2021, his most popular works were:
- EdgeIoT: Mobile Edge Computing for the Internet of Things (340 citations)
- Edge Computing Aware NOMA for 5G Networks (149 citations)
- Application Aware Workload Allocation for Edge Computing-Based IoT (95 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
His main research concerns Computer network, Cloud computing, Distributed computing, Energy consumption and Cloudlet.
Much of his study explores Computer network relationship to Edge computing.
His Cloud computing study combines topics in areas such as Virtual machine, Workload, Network delay, User equipment and Provisioning.
His Distributed computing research is multidisciplinary, incorporating perspectives in Utility computing and Data structure.
His Energy consumption research incorporates themes from Resource allocation, Cache, Relay, Server and Renewable energy.
The concepts of his Cloudlet study are interwoven with issues in Network architecture, Enhanced Data Rates for GSM Evolution, Mobile edge computing, Real-time computing and Core network.
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