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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.