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Statement of Purpose
“Simplicity does not precede complexity, but follows it.”
------ A. J. Perlis
Career Plans
Pattern Recognition has been a major dominant research field in the Computer Science discipline for
quite a long time due to its wide application in almost every field, from Biological Sciences to
Mechanical Engineering. Research and application of soft computing approaches in Neuroscience
attracted a vast number of researchers from diverse fields. It has been often said that Neuroscience
will be at the pinnacle of the next computing decade. The desire to become the part of this next era
has motivated me to opt for a career in research in the field of Pattern Recognition and
Neurosciences. In order to fulfil my research goals, the next step should be to pursue doctoral study,
whose effect in a successful career is paramount.
What I have
My keen interest in Pattern Recognition domain got ignited from the very first interaction
with my undergraduate supervisor Dr. Sanjoy Kumar Saha. After an introductory course on
Pattern Recognition in my undergraduate curriculum, I met Dr. Saha without any clear
knowledge about the undergraduate dissertation topic. I had no knowledge whatsoever
about what to do in my dissertation. Dr. Saha gave a brief and motivated speech regardingresearch opportunities in Computer Science majorly focusing in Signal Processing area. By
himself, an Electronics graduate, he made me understood some of the very basics of signals
in a lucid way. At the end of that interaction with him, he asked me to do a survey in signal
classification problem. After half a year, we wrote my first paper in an IEEE symposium (IITA
2009) on speech/non-speech two class classification. My first journal paper got accepted in
International Journal of Signal Processing, Image Processing and Pattern Recognition (IJSIP
2012) on speech/music/song classification. I wrote my undergraduate thesis on “Audio
Classification” which won the best B.E thesis Medal. I continue my work under Dr. Saha
which is now left with song genre classification. We had six international and nationalconferences (in chronological order) (IITA 2009, ICECT 2011, ICIP 2011, SIP 2011, CUBE
2012, ICACNI 2013) and two journals (IJSIP 2012, Springer Plus 2013) together. Recently, we
had submitted a paper on International Journal of Computational Intelligence Studies. Dr.
Saha’s enthusiastic and tireless motivation towards soft computing area helped me to choose my
career goal as a researcher. I want to pursue master’s in this area, so I have joined Indian Statistical
Institute, Kolkata, one of the pioneering institution in the area of pattern recognition. I got some
excellent and renowned professors like Prof. Mandar Mitra, Prof. Bhargab. B. Bhattacharya, Prof.
Bhabani. P. Sinha as my teachers. I did my master’s dissertation under Prof. Sanghamitra
Bandyopadhyay, who introduced me to the Multi-Objective Optimization problem. I wrote my
master’s thesis on “Incorporating ϵ-dominance in MultiObjective Optimization: A study in
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AMOSA” under Prof. Bandyopadhyay. Our assiduous effort results in a Applied Soft Computing
publication and another journal submission in Information Sciences. During summer 2011, I got the
opportunity to do my internship in Yahoo! R & D labs, Bangalore. My mentor, Sourangshu
Bhattachrya, a Indian Statistical Institute graduate, assisted me to learn web mining. I contributed to
an ongoing work on word segmentation which bought us a publication in 21st
ACM International
Conference on Information and Knowledge Management (CIKM 2012). During my Master’s final
year, I met Prof. Nikhil. R. Pal (Fellow, IEEE), ISI Kolkata. I found myself lucky enough to get Prof. Pal,
a renowned scientist in fuzzy and pattern recognition domain, as my guide. I went through some
original papers of Prof. Pal, some on dimensionality reduction and others with Prof. James Bezdek on
fuzzy learning. We had written two manuscripts, one is on Feature Selection submitted to IEEE
Transaction on Neural Networks and Learning Systems (Minor Revision, Resubmitted on 12.05.13)
another on Sensor Selection together with Prof. C. T. Lin (Fellow, IEEE) which is submitted to
International Journal of Neural Systems. I have acquired 1st
rank in master’s curriculum and
selected for ISIAA gold medal. After my graduation from Indian Statistical Institute, I have joined
Computer Vision and Pattern Recognition Unit, ISI Kolkata, as project linked personnel under Prof.Bidyut. B. Chaudhuri. I engaged in solving Inpainting Problem using multiobjective approach. Then I
joined Indian Statistical Institute, Kolkata as Visiting Researcher . I worked with Prof. Pal on manifold
learning techniques. We have developed a novel Sammon’s Error based dimensionality reduction
technique for manifold unfolding. But, unfortunately we found a similar work was already done
some years back. After that, I joined University of Florida, CISE department as a graduate fellow. I
have started working under Prof. Baba C. Vemuri on Information Theory.
Why UChicago?
University of Chicago is one of the top notch universities in the world with renowned faculties in my
intended research domain. I am motivated by the strong Machine Learning group of University of
Chicago. The work in the statistical machine learning domain like sparsity and dimensionality
reduction by Prof. Lafferty are really challenging. Prof. Yali Amit’s 2D, 3D image matching, object
recognition work motivated me. On the other hand, Prof. Rzhetsky and Prof. Stephens work on
bioinformatics precisely molecular interaction networks and prediction of gene expression
respectively got me interested in this domain. Prof. Hinrichs research on protein folding and Prof.
Kindlmann’s image analysis and visualization work are really challenging. Working under these
notable researchers not only fulfils my dream of becoming a successful researcher but also my
research potential would be adorned and flourished.