What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electrical engineering
- Integrated circuit
Pinaki Mazumder focuses on Electronic engineering, Logic gate, Electrical engineering, Memristor and Electronic circuit.
His Electronic engineering research integrates issues from Transistor and Electronics.
His Logic gate study incorporates themes from Pass transistor logic, Digital electronics and Adder.
His research integrates issues of Artificial neural network, Nanotechnology and Memistor in his study of Memristor.
His Nanostructure study, which is part of a larger body of work in Nanotechnology, is frequently linked to Spike-timing-dependent plasticity, bridging the gap between disciplines.
Within one scientific family, Pinaki Mazumder focuses on topics pertaining to Circuit design under Electronic circuit, and may sometimes address concerns connected to NAND gate.
His most cited work include:
- Nanoscale Memristor Device as Synapse in Neuromorphic Systems (2647 citations)
- Digital circuit applications of resonant tunneling devices (435 citations)
- VLSI cell placement techniques (284 citations)
What are the main themes of his work throughout his whole career to date?
Electronic engineering, CMOS, Electrical engineering, Optoelectronics and Electronic circuit are his primary areas of study.
His studies in Electronic engineering integrate themes in fields like Transistor, Equivalent circuit and Diode.
His CMOS research is multidisciplinary, incorporating perspectives in Digital electronics and Static random-access memory.
He works in the field of Electrical engineering, namely Logic family.
The study incorporates disciplines such as Spice, Circuit design and Integrated circuit in addition to Electronic circuit.
His Very-large-scale integration research is multidisciplinary, incorporating elements of Artificial neural network and Chip.
He most often published in these fields:
- Electronic engineering (37.92%)
- CMOS (15.61%)
- Electrical engineering (15.61%)
What were the highlights of his more recent work (between 2017-2021)?
- Terahertz radiation (13.01%)
- Optoelectronics (14.50%)
- Metamaterial (7.81%)
In recent papers he was focusing on the following fields of study:
Pinaki Mazumder mainly focuses on Terahertz radiation, Optoelectronics, Metamaterial, Optics and Artificial neural network.
Pinaki Mazumder interconnects Photonics, Polarization, Broadband, Bandwidth and Resonator in the investigation of issues within Terahertz radiation.
The concepts of his Optoelectronics study are interwoven with issues in Phase shift module, High-electron-mobility transistor and Phase modulation.
His Artificial neural network study combines topics from a wide range of disciplines, such as Dynamic programming, Computer hardware and Memristor.
His Memristor study contributes to a more complete understanding of Electrical engineering.
He combines subjects such as Neuromorphic engineering and MNIST database with his study of Spiking neural network.
Between 2017 and 2021, his most popular works were:
- Learning in Memristor Crossbar-Based Spiking Neural Networks Through Modulation of Weight-Dependent Spike-Timing-Dependent Plasticity (25 citations)
- Online Supervised Learning for Hardware-Based Multilayer Spiking Neural Networks Through the Modulation of Weight-Dependent Spike-Timing-Dependent Plasticity (23 citations)
- Evolution map of the memristor: from pure capacitive state to resistive switching state. (18 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electrical engineering
- Artificial intelligence
His main research concerns Terahertz radiation, Artificial neural network, Optoelectronics, Scalability and Computer engineering.
His Terahertz radiation research includes elements of Wavefront and Resonator.
His work on Artificial neural network is being expanded to include thematically relevant topics such as Memristor.
His Memristor research includes themes of Capacitive sensing, State and Resistive switching.
His Optoelectronics research incorporates themes from Resonance, High-electron-mobility transistor, Nanomaterials and Phase modulation.
His Computer engineering study which covers Hardware architecture that intersects with Efficient energy use and Energy consumption.
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