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Who am I?


It will please some of you to know that who am I! it will please the rest of you to know that why I choose to pursue a Ph.D.?

My name is Joyraj Chakraborty, seems some Asian name! Hmm!! Yes, I am from Chittagong, Bangladesh. I completed my Master’s degree majoring in radio communication Engineering from Blekinge Institute of Technology (BTH), Sweden and undertook an internship at Deutsche Telecom in the customer equipment department. Before joining Infrastar project (10th February 2017), I worked as a scientific research engineer at KU Leuven, in Belgium from 2014 to 2015, developing an acoustic sensor localization for an unknown sound source.
Drive for research is the best reason to start my Ph.D.  I have experienced a sense of excitement while working on a project of my own during working as a scientific researcher at KULEUVEN, where I enjoy the opportunity to focus on a problem of cutting-edge research. The rewards of contributing to advance knowledge in any given area can be amazing. 

My PhD topic is ''Sensor integration, data fusion and information management for industrial monitoring systems''. doing my Ph.D. thesis in Neostrain, Krakow, Poland.
So what I will do?
The first step in the development of a Structural health monitoring system is mentioned to as operational evaluation.  Operational evaluation tries to answer the main question regarding the implementation of a damage detection capability:

  • How to develop meaningful and reliable means of acquiring, guiding, integrating and interpreting structural performance data for maximum useful information at a minimum cost?

  • So I will answer this question to integrate the sensor. Data integration is the process of combining information from multiple sensors in an effort to improve the integrity of the damage detection process.  In many feature selection processes is the integration of data from multiple sensors and fixation of these data. Suitable examples of data integration are the extraction of mode feature from sensor arrays and the averaging of the spectral amount to remove noise from the measurements.

    As I am in this EU project, I have to work with other ESRs (Early stage researchers). Mostly with the ESRs from Work Package 1 ( I will take the ultrasonic data from Xin WANG (ESR1) and fibre optics data from Antoine (ESR2) and integrate this data .
    But but !
    • What are the limitations on acquiring data in the operational environment?
    Wait for next writing!!
    Till then bye........


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