What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Electrical engineering
Partha Pratim Pande spends much of his time researching Network on a chip, Embedded system, System on a chip, Interconnection and Wireless.
His work carried out in the field of Network on a chip brings together such families of science as Integrated circuit design, Network topology and Integrated circuit.
Partha Pratim Pande combines subjects such as Crosstalk, Latency, Multi-core processor and Packet switching with his study of Embedded system.
Within one scientific family, Partha Pratim Pande focuses on topics pertaining to Efficient energy use under Multi-core processor, and may sometimes address concerns connected to Energy conservation, Wi-Fi array and Bandwidth.
His System on a chip study integrates concerns from other disciplines, such as Network architecture and Routing.
He frequently studies issues relating to Computer architecture and Interconnection.
His most cited work include:
- Performance evaluation and design trade-offs for network-on-chip interconnect architectures (802 citations)
- Networks-on-Chip in a Three-Dimensional Environment: A Performance Evaluation (398 citations)
- Scalable Hybrid Wireless Network-on-Chip Architectures for Multicore Systems (234 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Embedded system, Network on a chip, Wireless, Multi-core processor and Interconnection.
His work in the fields of Embedded system, such as System on a chip, intersects with other areas such as Dissipation and Scalability.
His Network on a chip research incorporates elements of Integrated circuit design, Computer architecture and Very-large-scale integration.
His research integrates issues of Computer network, Latency, Data transmission and Electronic engineering in his study of Wireless.
The Multi-core processor study combines topics in areas such as Frequency scaling, Hardware acceleration, Distributed computing and Robustness.
The study incorporates disciplines such as Fault tolerance and Network topology in addition to Interconnection.
He most often published in these fields:
- Embedded system (48.57%)
- Network on a chip (33.81%)
- Wireless (30.48%)
What were the highlights of his more recent work (between 2017-2021)?
- Distributed computing (16.19%)
- Key (3.81%)
- Electronic engineering (13.81%)
In recent papers he was focusing on the following fields of study:
Partha Pratim Pande spends much of his time researching Distributed computing, Key, Electronic engineering, Design space exploration and Computer architecture.
His research in Distributed computing intersects with topics in Energy consumption and Network on a chip.
Many of his studies involve connections with topics such as System on a chip and Network on a chip.
The various areas that Partha Pratim Pande examines in his Electronic engineering study include Switched capacitor, Topology, Voltage regulator and Electrical efficiency.
Partha Pratim Pande interconnects Airfield traffic pattern, Latency and Parallel computing in the investigation of issues within Design space exploration.
His Computer architecture research is multidisciplinary, incorporating elements of Artificial neural network, Transistor and Resistive random-access memory.
Between 2017 and 2021, his most popular works were:
- On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems (46 citations)
- A 40% PAE Frequency-Reconfigurable CMOS Power Amplifier With Tunable Gate–Drain Neutralization for 28-GHz 5G Radios (29 citations)
- Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems (23 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Electrical engineering
Partha Pratim Pande mostly deals with Distributed computing, Network on a chip, Computer architecture, Efficient energy use and Systems design.
His studies deal with areas such as Interconnection and Design space exploration as well as Distributed computing.
His Network on a chip investigation overlaps with other areas such as Space exploration and Adaptive design.
He usually deals with Computer architecture and limits it to topics linked to Convolutional neural network and System on a chip, Deep learning, Telecommunications network and Wireless sensor network.
His biological study spans a wide range of topics, including Energy consumption and Embedded system.
His work in the fields of Integrated circuit design overlaps with other areas such as Context.
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