Rakesh Babu

From Msplacements

Url: http://web.iiit.ac.in/~rakeshbabu/next/resume.html
E-mail: rakeshbabu@research.iiit.ac.in, rakeshbabu@gmail.com
Contact No: +91 9966086677
Download Resume: Pdf_Format [1]

Career Objective

Being a research student for the past three years, I am currently seeking opportunities to learn and build large-scale systems in industry .

Education

  • MS by Research (CSE), IIIT-Hyderabad, (expected December, 2009);
  • B. Tech. (CSE), IIIT- Hyderabad, June 2008, CGPA 8.66.
  • Senior Secondary, Gowtham Residential College, Vijayawada, May 2004, 93%.

Work Experience

  • Research Assistant, CVIT, May 2008 - till date.
    Project: Learning discriminative parts for Object Recognition.
  • Teaching Assistant, Monsoon 2008 .
    Course:Machine Learning.
  • Internship, Microsoft Research, Bangalore, May - Jun 2008.
  • Teaching Assistant, Monsoon 2007, Monsoon 2006 .
    Course:ITWS ( Information Technology Workshop ).
  • Internship, HP Labs, Bangalore, May - Jun 2007.
  • Student Intern, CVIT, May - Jul 2006.
    Project: Book reading interface for Digital Library of India.

Academic Achievements

  • Was awarded a scholarship from ICML-SSP to attend ICML '09 held in Montreal, Canada
  • Figured in the Dean's List for Academic Excellence in the following semesters: Monsoon 2005, Spring 2006, Monsoon 2007, Spring 2008, Spring 2007 and Monsoon 2007.
  • Secured All India rank 2031 out of 4,00,000 applicants in AIEEE 2004.
  • Recipient of Pratibha scholarship award from the govt. of Andhra Pradesh.

Publications

[1] Manik Varma and B. Rakesh Babu. More generality in efficient multiple kernel learning. In Proceedings of the International Conference on Machine Learning(ICML 09), Montreal, Canada, June 2009.

[2] T. E. de Campos, B. Rakesh Babu and Manik Varma. Character recognition in natural images. In Proceedings of the International Conference on Computer Vision Theory and Applications(VISAAP 09), Lisbon, Portugal, February 2009.

[3] Chetan Jakkoju, Sreekanth Vempati, B. Rakesh Babu, Vamshi Ambati and C. V. Jawahar. Book Reader Interface: Image Processing Issues 2nd International Conference on Universal Digital Libraries (ICUDL 06), Alexandria, Egypt, November 2006.

Conferences and Workshops

  • Attended and Presented my work in ICML '09, Montreal, Canada (Jun 2009).
  • Attended Indian Conference on Vision Graphics and Image Processing (ICVGIP 2008), held in Bhubneshwar, India (Dec. 2008)
  • TechVista, Microsoft Research India's annual research symposium, held in Chennai, India (Oct. 2008).
  • The first Indo-Israel Workshop on Computer Vision (WCV 2008), held in Hyderabad, India (Feb. 2008).
  • Attended ICJAI Workshop 2007 on Multimodal Information Retrieval held in Hyderabad, India {January 2007}.
  • Attended several local seminars (barcamp, startup saturday, etc) which discuss on the current web technologies.

MS Thesis

Learning in Visual Recognition
(Advisor: Dr. C.V.Jawahar )

Broad Objective : The broad objective of this work is to explore the state of the art machine learning techniques for object category recognition. We also propose to extend the algorithms and methods to suite the specific problems in computer vision. More specifically, we address the following problems:
  • Given an object category recognition problem, how to identify the informative parts which helps in discriminating the categories.
  • Explore the utility of multiple kernel formulations for the recognition task.
  • Recognition of perceptively imaged character images using the state of the art recognition schemes and explore the appropriate representation schemes for recognition of these images.

Major Projects

  • Learning Discriminative pixels for classification
    Advisors: Dr. C.V.Jawahar, Dr Manik Varma
    (Honours Project, CVIT, IIIT-H.)(Team of size 1)
    Aim : The project objective is to determine minimal sets of image pixels and regions required for classification.
    – Information present in images can be redundant and, therefore, looking at the entire image might not be necessary for performing certain classification tasks. Selecting discriminative pixels and regions can directly improve efficiency while classification. We here explore the applicability of multiple kernel learning algorithms for doing the above task. Results are presented on benchmark problems such as gender identification and object recognition on the Caltech-101 and Caltech-256 databases.
    Technology Used : Matlab

  • Hand written digit recognition using ordinal regression
    Advisors: Dr. C.V.Jawahar, Dr Manik Varma
    (Honours Project, CVIT, IIIT-H.)(Team of size 1)
    Aim : The objective of the project is to explore the applicability of ordinal regression to recognize hand written digits.
    - Here we have experimented whether ordinal regression can reduce the time for recognizing the hand written characters. We have done an extensive experimentation on MNIST,USPS datasets which is widely used in the area of hand written recognition.
    Technology Used : Matlab, Python, C

  • Text Recognition in Natural scenes
    Advisors: Dr. C.V.Jawahar, Dr Manik Varma
    (Honours Project, CVIT, IIIT-H.)(Team of size 2)
    Aim : To recognize characters obtained from natural scenes.
    - Here we have prepared our own dataset of character images ( includes both capital & small alphabets and digits ) which are captured from natural scenes which is very challenging. We have applied state of object recognition to this problem and studied the performance of each method. For this we have used all the state of art features (like SIFT, Shape Context, PHOW, PHOG, MR8 filter banks) and algorithms (like MKL, SVM). Results show that this problem is very challenging.
    Technology Used: Matlab,C

  • Video Google
    Faculty Advisor: Dr. C. V. Jawahar
    (Semester Project for the course Computer Vision)(Team of size 18)
    Aim:The project objective was to make a Google like search engine for videos using techniques of Content Based Image Retrieval (CBIR). Videos were indexed on the basis of their visual content ( viz. scenes, objects etc.), instead of the text labels given to images by users. The technique used is as follows: For each video in the database, a set of key frames are taken from the video; from each of these key frames, regions having invariant feature points are clustered to form something called visual words. SIFT is used for feature extraction. The visual words thus formed, are used to index the key frames and thus videos in the database. We worked on an in-house database containing News Videos having the meta data of date, stories etc. A GUI was designed for the user to give query and display the ranked results.
    Technologies used: C, HTML, CSS, Java Script.

  • Script Verification in Document Images
    Faculty Advisor: Dr. C. V. Jawahar
    ( Honours Project, CVIT, IIIT)(Team of size 1)
    Aim : The project aim is to verify the meta data information of script for a given document image.
    – DLI ( Digital Library of India ) consists of scanned document images of millions of books. For every such book a meta data file is associated with it. Such file consists the information about various parameters of the book including the script, language, no of pages,etc. These parameters are entered manually while scanning the images. Here we verify the meta data information automatically using various techniques of script identification. We use all variety ( structural, shape, texture) of features like Horizontal Projection, Vertical Projection, no of loops, Gabor filter bank etc. In this project we dealt with 15 languages.
    Technology Used: Python, Matlab.

  • Building Tiff Plug-in for firefox and Imageserver for DLI
    Faculty Advisor: Dr. C. V. Jawahar
    (Summer Intern Project )(Team of size 3)
    Aim : To built tiff plug-in which enables firefox to view tiff images and image server to cater the requests.
    – TIFF image is the popular format for storage for document images due to less storage space. But these format is not supported by firefox. We here developed a plug-in which enables firefox to view tiff images. We have also developed Imageserver who's job is to server other format of images ( PNG,etc ) from the stored tiff images on the fly. Currently whole project is deployed in Digital Library of India (DLI).
    Technology: C, Qt

  • Room allocation system for IIIT
    Faculty Advisor: Dr. Vikram Pudi
    (Course Project of ITWS-III)(Team of size 2)
    Aim : To built online portal which enable user to view the current allocation of different rooms in IIIT.
    -IIIT administration have to allocate different room for various purposes like tutorials, meetings, talks, labs, etc. We developed a online portal which enables the administration department to allocate the room and users to see current allocation of each room. It also has facility to request room online for any of the purposes.
    Technology: HTML, PHP, MySql

Other Projects

  • 3D-object recognition using SVM and study multiclass classification done as part of Machine Learning course ( Monsoon 2007 )
  • Enterprise Expert Search done as part of Information Extraction and retrieval ( Monsoon 2007 )
  • Video Google for News Videos done as part of Computer vision ( Spring 2007 )
  • Detection and removal of cracks from Digitized paintings done as part of Digital Image Processing ( Spring 2007 )
  • Developed IGL Library which aims at developing and implementing various GL functions as part of Computer Graphics ( Spring 2006 )
  • Built Tetris Game and Simulated Train done as part of Computer Graphics ( Spring 2006 )
  • Simulation of Linear Hashing on databases done as part of Database Management Systems ( Spring 2006 )
  • Simulated bash shell in Linux done as part of Operating Systems course ( Monsoon 2005 )

Studies

  • Study of various dimensionality reduction techniques.
  • Analysis on requirement engineering
  • Various techniques used in Spatial Informatics.

Skillset

  • Programming Languages  : - C, C++, Java, Lex & Yacc
  • Operating Systems  : - GNU/Linux, Windows 95/98/2000/XP.
  • Scripting Languages  : - Python, Perl, Shell, Matlab.
  • Web Languages  : - HTML, XML, CGI, PHP.
  • Libraries  : - Qt, OpenGL, Socket Programming
  • Tools  : - MySQL/MSSQL, MS Office
  • Publishing  : - LaTeX

Advanced Courses Taken

Machine Learning, Pattern Recognition, Computer Vision, Computer Graphics, Digital Image Processing, Graph Theory, Database Management and systems, Information Extraction and Retrieval, Theory of Computation, Spatial Informatics, Operational Research, Linear Programming

Academic Interests

Machine Learning, Pattern Recognition, Computer Vision, Image Processing, Data Structures, Algorithms, Information Extraction and Retrieval.

Extra Curriculur

  • Worked as member of Mess Committe for academic year 2005,2006.
  • Successfully organized online competition "Footie Fox" where aim is to build innovative firefox extension for felicity-07.

Other Interests

  • Extra-academic: Enjoy studying objectivist philosophy, web-entrepreneurial trends.
  • Sports: Swimming,
  • Arts: Sketching and portraiture, Photography
  • Others: Politics, Journeys.
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