What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Aman Kansal mainly focuses on Wireless sensor network, Real-time computing, Energy harvesting, Power management and Distributed computing.
His Wireless sensor network study necessitates a more in-depth grasp of Computer network.
His study in Real-time computing is interdisciplinary in nature, drawing from both Energy consumption, Android and Mobile device.
His Energy harvesting study incorporates themes from Environmental energy, Scheduling and Solar energy.
His Power management research incorporates themes from Battery and Embedded system.
His research in Distributed computing intersects with topics in Sensor selection and Web 2.0.
His most cited work include:
- Power management in energy harvesting sensor networks (1245 citations)
- Energy aware consolidation for cloud computing (697 citations)
- Design considerations for solar energy harvesting wireless embedded systems (495 citations)
What are the main themes of his work throughout his whole career to date?
Aman Kansal focuses on Wireless sensor network, Distributed computing, Real-time computing, Embedded system and Computer network.
His biological study spans a wide range of topics, including Software deployment, Energy consumption, Energy harvesting and Sensor node, Key distribution in wireless sensor networks.
His Energy harvesting study combines topics from a wide range of disciplines, such as Battery, Energy supply, Energy management and Solar energy.
His Distributed computing research is multidisciplinary, incorporating elements of Workload, Power management, Resource, Cloud computing and Server.
His work in Real-time computing tackles topics such as Efficient energy use which are related to areas like Energy storage.
Aman Kansal works mostly in the field of Embedded system, limiting it down to topics relating to Virtual machine and, in certain cases, Power consumption and Virtualization, as a part of the same area of interest.
He most often published in these fields:
- Wireless sensor network (38.10%)
- Distributed computing (27.98%)
- Real-time computing (26.19%)
What were the highlights of his more recent work (between 2011-2019)?
- Distributed computing (27.98%)
- Cloud computing (11.31%)
- Data center (8.33%)
In recent papers he was focusing on the following fields of study:
Aman Kansal mostly deals with Distributed computing, Cloud computing, Data center, Real-time computing and Server.
His Distributed computing study combines topics in areas such as Power consumption and Distributed memory.
Aman Kansal interconnects Computer network, Software and Resource in the investigation of issues within Cloud computing.
His Computer network research includes elements of Key distribution in wireless sensor networks and Capacity planning.
While working in this field, Aman Kansal studies both Real-time computing and Occupancy.
His Server study also includes
- Provisioning that connect with fields like Systems design, Power management and Latency,
- Burstiness which connect with Scalability and File server.
Between 2011 and 2019, his most popular works were:
- Fast app launching for mobile devices using predictive user context (269 citations)
- Empowering developers to estimate app energy consumption (240 citations)
- Characterizing Application Memory Error Vulnerability to Optimize Datacenter Cost via Heterogeneous-Reliability Memory (128 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
His scientific interests lie mostly in Embedded system, Real-time computing, Efficient energy use, Mobile device and Server.
His Embedded system study deals with Virtual machine intersecting with Power consumption, Degradation and Cloud computing.
Aman Kansal has included themes like Scalability, Workstation and Overhead in his Real-time computing study.
His studies deal with areas such as Software portability, Mobile context, Latency and Programmer as well as Efficient energy use.
His research integrates issues of Battery, User experience design, Network congestion and Energy consumption in his study of Mobile device.
His work deals with themes such as File server, Burstiness and Host, which intersect with Server.
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