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EDUCATION:

[2007-present]  Stanford University, California, USA.
                       MS in Computer Science,
                       Specialization: Artificial Intelligence

[2003-2007]     Indian Institute of Information Technology, Allahabad, INDIA.
                       BTech in Information Technology,
                      Date of Graduation : 01/2007
                       Current CGPI (Cumulative Grade Point Index): 9.20/10
                       Major CGPI: 9.4/10
                       Class Rank: 5/43                

[2002]             AISSCE, CBSE, Hans Raj Model School , New Delhi , INDIA. Aggregate: 86.6%

[2000]             AISSE, CBSE, Hans Raj Model School , New Delhi , INDIA. Aggregate: 87.4%

RESEARCH INTERESTS:

•  Image Processing
•  Scientific Visualization
•  Machine Learning
•  Data Analysis
•  Pattern Recognition

RESEARCH EXPERIENCE:

1) 7th Semester Research Internship at Department of Computing and Software, McMaster University, Canada under Dr. Christopher Anand. (Jan, 2006- June, 2006)
   Worked to give an optimal design for Magnetic Resonance Imaging (MRI) Gradient waveform in 3-Dimensional k-Space(Fourier transform space).(Currently submitted as journal paper in Engineering Optimization Journal)

2) Research Assistantship at Universal Digital Library(UDL) Research Laboratory , Indian Institute of Information Technology,Allahabad(IIIT-A), INDIA under Dr. Sudip Sanyal (Research Coordinator,UDL project at IIIT-A). (July, 2005- December, 2005)
   Worked on modelling noise in ideal scanned documents so as to get images similar to real time degraded document images, which will help in training and testing efficiency of Optical Character Recognition (OCR) system.The work was implemented in Java with JAI(Java Advanced Imaging) API. (The UDL initiative is part of a collaborative project between Carnegie Mellon University (CMU), USA, The Indian Institute of Science, Bangalore (IISc), The International Institute of Information Technology, Hyderabad, India (IIIT-H), and IIIT-A.)

3) Summer Research Internship at Theory of parallelism Research Group, Department of Computer Science, University of Kiel, GERMANY under Prof. Klaus Jansen. (Summer, 2005)
   Worked towards the implementation of fast approximation algorithms using libraries like CPLEX.

PUBLICATIONS:

1) "DURGA: A Heuristically-Optimized data collection strategy for Volumetric Magnetic Resonance Imaging", Christopher Kumar Anand, Andrew Curtis and Rakshit Kumar, Journal for Engineering optimization,(Journal Paper Submitted).

2) "A Document Degradation Model using localized Morphological Operations and its Validation", Hemant Kumar, Rakshit Kumar, Dr. Sudip Sanyal, WSEAS Sixth International Conference on Signal, Speech and Image Processing (SSIP ’06).Lisbon,Portugal (Research paper Accepted)

Curricular Research Projects:

1) Face Recognition using Descriptive Input Semantics(Stanford).
       Built a face recognition system that retrieves a picture of a person given a descriptive facial feature vector as an input.This involves machine learning algorithms like softmax regression and weighted K-means clustering.

2) 3D Protein Surface Matching(IIIT-A)
        This work proposes methodologies employed in the surface analysis and comparison of two protein molecules in order to predict functional similarity between the two molecules.

3) New transport layer Flow Control Algorithm(IIIT-A).
        This work proposes a modified version of the equation based transport layer flow control algorithm proposed during the previous work done on the project. We have shown through simulations on network simulator that the new protocol in comparison with existing TCP Flavors like Reno, SACK shows less fluctuations with more aggregate throughput .

4) DBMS Course Project: "Library Management System.(IIIT-A)"An Oracle based Library Management Database System using Oracle as RDBMS and Oracle Developer 9i as the GUI builder.

RELEVANT COURSES UNDERTAKEN:

   Machine Learning,Data file Structures, Design and Analysis of Algorithms, Object Oriented Methodologies, Operating System, Compiler Design, Principles of Database Management,Pattern Recognition, Bioinformatics, Neural Networks and Fuzzy Computing, Parallel Computing, Artificial Intelligence, Computer Networks, Software Engineering, Mathematics I & II, Probability and Statistics, Discrete Mathematics and Logic, Formal Languages and Automata Theory, Image Processing,Digital Signal Processing, Systems Modelling & Simulation, Cryptography & Information Security.

For all the courses: http://stanford.edu/~rakshit/undergrad_courses

SKILL SET:

Languages:
        C/C++, JAVA, Objective-C.
    Web: HTML, PHP.

Software and Utilities:
        MATLAB, SQL, JDBC, LEX, YACC, LATEX, Rational rose (UML),ORACLE 9i.

Platforms:
        Windows, DOS, Linux and MacOS X.

WORK EXPERIENCE:

1) Summer Internship with SQL Star International Ltd., New Delhi, INDIA. (Summer 2004)  

2) Worked as a Software Engineer with Aricent., Gurgaon, INDIA. (Mar, 2007-Jul-2007 )

ACHIEVEMENTS and EXTRA CURRICULAR ACTIVITIES:

• Bureaucrat for Masters Program at Computer Science Department,Stanford University.
• Selected among top 1.5 % of the 1,78,000 students appeared in IIT JEE 2002 and Qualified IIT -JEE with (All India Rank) 3489.
• Ranked 66th in Regional mathematical Olympiad (R.M.O) in Delhi region(India).
• Member of Dance club in IIIT, Allahabad.
• Won 1st prize in goup dance competition at Effervescence -annual cultural festival at IIIT-A.
• Remained throughout the undergraduate studies on university honour roll.
• Member of semester's Cricket Team.

SPOKEN LANGUAGES KNOWN:
       English, Hindi and Punjabi.

HOBBIES:
       Traveling,Playing Cricket, Going on Long Drives.

PERSONAL INFORMATION:
       Date of Birth     7th August, 1984
       Sex                    Male
       Nationality         Indian

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