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dweller \Dwell"er\,
n. An inhabitant; a resident; as, a cave dweller.
the origin dates back roughly two decades back to a
suburban place tucked away in the foot of the great Himalayas in the
northern end and cocooned by huge oceans on the other three sides, namely
India. A nomad by nature,
striving for a life of technological exploration, it seeks bliss in a
unique way through solitude.
let’s talk worldly now!!! I am
currently enrolled as an Integrated Master of Science student at Indian Institute of Technology,
Kharagpur, with major in Mathematics
and Computing. I always look for connectivity between the abstract
sciences and pragmatic applications; I fail when I miss to get hold of
this relation.
my research interests are primarily focused in fuzzy decision making, nature-inspired artificial systems,
mathematical programming and stochastic modelling.
Cognitive and behavioral experimentation, I believe, are important
because of the relative diminution they can effectuate between human and
artificial intelligence. The relevance of such studies is well understood
but the agency to realize them is still a branch of science requiring
much inter-disciplinary expertise.
more on my alma
mater >>
artificial intelligence
evolution is a timeworn term, most often associated with the
process in which a species or taxonomic group of organism passes by
degrees to a more advanced or mature stage, but one whose implications
have rarely been agonized. Intelligence is one such trait that has
undergone vast alterations in the process of evolution, from the earliest
unicellular organism to the recent Homo sapiens, and yet after millions
and millions of years since its first existence, it still remains a term
without a precise definition.
our understanding of the evolution of intelligence has
been presumptively based on a cost and benefit relationship - cost in
terms of a large, cumbersome and delicate brain, while benefits in terms
of the ability to manipulate the environment instead of just adapting to
it. Over the past few decades we have been trying to model this
relationship into a computational system under the name of Artificial
Intelligence.
nature and computers
we do not ordinarily envision the world around us as a
constant and sophisticated bed for bio-chemical warfare triggered by
nature, effectuating mutual influences in the whole population of
organisms. If we could comprehend the real meaning of evolution then we
would see a fretful and incessant process of change, so intense that
predicting the consequences of anything we do becomes inconceivable.
Nevertheless, congruity and stability are two properties inherently
present in any natural system. What should result in chaos rather gets
realigned in some other configuration of stability. It is this unexpected
behavior that actuates one to think if natural processes are really
non-deterministic or highly predictable.
computers have been a tool to help man realize computations at
a much faster rate than it can practice. However, the approach has always
been a hard-coded one, meaning that most of the thinking happened within
the person himself, and as far as fast computation is concerned, that is
not the natural way to do it. Thinking is not something that is visibly
perceptible in nature, but rearrangement is. And the sheer speed with
which it happens should make one think about the hows of natural
systems. If fast computation has to come, then may be it has to come the
natural way.
research
as a student I believe that doing research is a way into
the academic community, a community engaged in a constant cycle of asking
and answering questions. Trying to question, challenge, and re-think the
ideas that one can find in academic journals can seem daunting; trying to
come up with questions that would lead to significant contributions to
available knowledge on a topic can seem impossible. But what is important
is to learn to treat our own ideas and interests with respect and that is
supposedly the first step to becoming a researcher. My understanding of
research is as precise as that, and I believe it is the only principle
inspiring me to undertake a career in research. The following lists some
selected few problems I have worked upon.
- Optimized Fuzzy model
for Polygonal Approximation
- Variable User Mobility
using Stochastic Directional Correlation Concept in Mobile Network
System
- Identification of clusters in an Object-Oriented
Software Design using Graph Spectra
- Analysis of Stock Price Movement using Fuzzy
Logic and Technical Analysis
- Fuzzy approach for classification of Endangered
Animals
more on research
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