A5029993012- Analog and Mixed-Signal Circuit Design
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- VLSI and FPGA Design Techniques
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
- Evolutionary Algorithms and Applications
- Advancements in Semiconductor Devices and Circuit Design
- Advanced DC-DC Converters
- ECG Monitoring and Analysis
- Advanced MEMS and NEMS Technologies
- Face and Expression Recognition
- Advanced Memory and Neural Computing
- Advanced Multi-Objective Optimization Algorithms
- Wireless Body Area Networks
- Low-power high-performance VLSI design
- Caching and Content Delivery
- Acoustic Wave Resonator Technologies
- Advanced Data Compression Techniques
- Neural Networks and Reservoir Computing
- IoT and Edge/Fog Computing
- Photovoltaic System Optimization Techniques
- Non-Invasive Vital Sign Monitoring
- Blockchain Technology Applications and Security
- Integrated Circuits and Semiconductor Failure Analysis
Assam Down Town University
2023-2025
SRM Institute of Science and Technology
2024
National Institute Of Technology Silchar
2020-2022
Tezpur University
2017
Currently, many people suffer from arrhythmia or hypoxia, which are abnormal health conditions. Arrhythmia occurs when a person has an irregular heart rate, while hypoxia is realized there deficiency in oxygen reaching the tissues. When suffers arrhythmia, possibility that cardiovascular disease. A low level eventually leads to organ failure, can result death. To prevent such conditions, mobile physiological measurement platform been proposed this paper. This system will continuously monitor...
This paper deals with metaheuristic-based approach for optimal solution of improvised amplifier low power application keeping in special focus on area minimization. It implements a new technique the circuit design to optimize intended voltage biomedical applications. The methodology establishes optimum aspect ratios and biasing currents transistors, reference analytical model so as consider its an objective function. Various high-performance meta-heuristic optimization algorithms have been...
A high voltage gain DC–DC converter with a Y-source network is proposed in this paper for applications such as fuel cells and PV systems. The topology combination of module switched capacitor boost module. It single switch to produce at the load. superiority transfer ratio continuous input current. can be achieved up twenty times duty cycle 25% itself. steady state analysis carried out using mathematical equations working explained. design passive components circuit are To illustrate...
Implantable medical devices have revolutionized healthcare by providing continuous monitoring and therapeutic interventions within the human body. The overall performance of these is heavily dependent on effectiveness efficiency integrated electronic components, such as transistors. This survey explores growing utilization Tunnel Field-Effect Transistors (TFETs) in implantable devices, shedding light their advantages challenges this specific application domain. TFETs, characterized unique...
This work is dedicated to parameter optimization for a self-biased amplifier be used in preamplifiers the diagnosis of seizures neuro-diseases such as epilepsy. For sake maximum compactness, which obligatory all implantable devices, power supplied by piezoelectric nanogenerator (PENG). Several meta-heuristic algorithms and an ANN (artificial neural network)-assisted goal attainment method were applied circuit, aiming provide us with set optimal design parameters ensure minimal overall area...
In this article, various high-performance optimisation algorithms are used to optimise circuit parameters: firstly in a modified double ended differential amplifier for area optimisation; and secondly an adaptive recycling folded cascode deal with noise power trade-off. These circuits as preamplifiers neural ailment such epileptic seizure recording systems. Amongst the analogue design challenges preamplifier, minimum consumption good trade-off necessary pre-requisites which require...
This paper presents the design of an efficient operational transconductance amplifier (OTA) to be explicitly used for electroencephalogram (EEG) signal acquisition in neural amplifiers (NAs). The central objective this study revolves around addressing fundamental compromise between noise and power NAs. overarching goal is effectively mitigate trade-off by introducing novel approaches. proposed design’s novelty lies utilizing adaptive biasing technique instead traditional current mirror...