The realms of Embedded Systems, IoT
based devices and problem prediction are undergoing massive transformation in
application domains, such as robotics, bio-informatics, and consumer-based
products as a result of advances in both algorithms as well as digital
implementation platforms having unprecedented levels of logic density.

Embedded Systems are finding a wide
variety of use in the current high demand concepts of smart electronics and
connected devices. But, while everything is being connected, not too many
things are being interconnected. Herein lies the opportunity to make industry
leading advancements to the spectrums of next generation cognitive based
embedded systems. The vast popularity of electronics and IoT based devices has
resulted in an exponential increase in user data, which can be used to develop
a sense of cognitive ability using pattern recognition and problem prediction
which in turn can bring significant advancements to provide seamless
interaction between humans and machines. The use of cognitive analysis in
embedded systems will not only make them future-proof, but also make them
adaptable to problems they were not initially designed to solve.

It is after a great deal of
self-assessment that I have decided to pursue graduate studies in Electrical
Engineering. My aim during graduate studies would be to work on microprocessors
and embedded systems to overcome the hardware limitation for processes of
computational intelligence, interconnectivity, and pattern recognition for
embedded systems which would benefit spectrums of robotics, real time signal
analysis and problem prediction immensely. Such a system would have numerous
applications and the one that I am particularly interested in would be an
extension to this system, which would enable embedded systems & robots to
learn object concepts and language models. Realizing such a system would help
me in achieving my definitive professional ambition of pursuing an
entrepreneurial career in the field of Cognitive based Embedded Product Development.

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I am intrigued with the enormous
potential for research in these areas which has been revealed to me during my
undergraduate studies and by the multiple projects which I completed over the
same. Subjects like Basic Electronics, Microcontrollers & Microprocessors,
Digital Signal Processing, and VLSI Design got me hooked to the idea of
embedded solutions. To bridge the gap between industry standard technology and
college coursework, I found it imperative to pursue an internship cum on-site
training at Hewlett-Packard during the summer break of my sophomore year where
I worked on Embedded Systems & Advanced Robotics designed a Human Gesture
based RFID Multitasking Robot. I also worked on the conceptualization and
designing of a solar powered Autonomous Multi-Level Soil Moisture Monitoring
& Irrigation System which was part of Prime Minister Narendra Modi &
ICAR’s new initiative for agricultural advancement “VISION 2050”. This system
removed the human equation from irrigation work as it could do that by itself
through real-time monitoring of moisture content at various depth levels and
synchronizing the use of canal water & rainwater using weather parameters
to achieve the desired level of water content in the soil, avoiding misuse of
water in the process.

For my final year project, I worked
on developing an Automated License Plate Recognition System using Machine
Learning. I designed an intelligent surveillance system capable of capturing
& enlisting the characters on a license plate of a vehicle. Since there is
no existing law to regulate the design of
license plates in India, use of huge variety of fonts and even local dialects
is popular. As a result, I had to feed data in huge variation into the model,
ranging from fonts to dialects to achieve a high accuracy rate. I also took up
additional courses in Data Structures & Algorithms and Computer Networking
from leading industry experts to further deepen my scope in Electronics and
Computing. I also held the top scorer position of the batch in both these

I completed several projects over
the course of my undergraduate studies and learnt that designing for production
use forces us to think about important issues that could be ignored otherwise,
and measurement of usage allows us to evaluate our own ideas more thoroughly. Our
kind is able to form concepts of things by classification and learning language
only by interacting with others. With the sort of conceptualization that I have
discussed, I believe that we can achieve similar levels of learning
capabilities in machines. Utilizing huge sets of data, supervised and
unsupervised, proper use of data mining and pattern recognition, implementing
problem prediction and cognitive solutions analysis will shed light on more
facets of applications of embedded
systems. All this is possible more profoundly if accompanied by state of the
art purpose specific hardware.

At the onset of my senior year, I
received an employment offer from Ericsson but soon saw my goals become more
coherent with my interests and based on my previous work in college, I knew
what I aspired to achieve and where I wanted to make an impact on and pursuing
a Master’s seemed to be the only logical step forward in guiding me ahead. I also
came to a denouement that I was solely product driven but required more of an
algorithmic & research level study for specialization in the field of Cognitive-based
Embedded Product Development.

I firmly believe that
my entrepreneurial approach which I gained during my time at the
Entrepreneurship cell at KIIT when coupled with the innovative Master’s program
at University of Texas at Arlington would amplify my depth in the field by several
folds and also help me accomplish my long term aspirations by enabling me to
carry out independent research and projects in the domain of Cognitive Embedded
Solutions. I am particularly intrigued with the research and projects carried out
by UTARI, specially in the domain of Automation and Intelligent Systems Research
and Human Machine Interaction and I believe that my research interests have
direct correlation with the developments taking place there, along with the
world-class study and research atmosphere, exceptional peers and an institute
that can help me accomplish my career goals.

I look forward to
making my contribution to the advancement of Electrical Engineering, starting
at University of Texas at Arlington.

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