KRISHNAN RAMNATH
Home : 91-44-9444275027 [email protected]
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OBJECTIVE To pursue graduate studies in Computer Science with specialization in Artificial Intelligence, Machine Learning, Computer Vision and Neural Computing. |
EDUCATION
Master of
Sciences (Hons) in Mathematics at Birla Institute of Technology and Sciences (BITS), Pilani ,
CGPA :
9.18 (3.6 / 4)
Percentage
: 94.6
AREAS
OF INTEREST
RELEVANT
COURSEWORK
Core
courses (Computer Science) AI
related courses
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Operating
Systems
Artificial
Intelligence
Computer
Networks Machine learning
Theory
of Computation Image
Processing
Computers and Programming Neural Networks and Applications
Data
Structures and Algorithms Introduction to Bio-Informatics
Database Management Systems
Advanced Computer Organization
Digital Electronics and Computer Organization
Programming Languages & Compiler Construction
Core Courses
(Mathematics) Other
courses
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Algebra
1 Computers
and Programming I&II
Algebra
2 Microprocessors
Introduction
to Topology Data
Processing
Graphs
and Networks Discrete
Structures for Computer Sc
Measures
and Integration Linear
Algebra
Elementary
Real Analysis Numerical
Analysis
Introduction
to Functional Analysis Operations
Research
Differential
Geometry Optimization
Theory
SYSTEMS
EXPERIENCE
Operating Systems UNIX, LINUX, Windows (all
versions)
Programming Languages C, C++, Java, Verilog HDL,
Assembly Languages 8085, 8086, LISP
Scripting Languages Sed, Awk, Perl, UNIX Shell
Programming
Database Systems SQL, PL/SQL, Developer 2000
RESEARCH
PROJECTS
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1. Face Recognition (Phase one - using neural networks, Phase two -
using eigenfaces) Development of a robust
face identification system that is able to match human faces under noisy
environment. The project was modeled using two techniques - first one was an
application of neural networks to
face detection and recognition, a back propagation network was trained with
human faces and then the neural network was able to mark face regions in a
given image and also classify the faces detected. The second phase involved the
usage of a more robust Eigenfaces
algorithm. This algorithm featured creation of face spaces for training
face images. The test images were mapped onto the face spaces to classify
them. 2. Fingerprint Recognition using neural networks Development of a neural network
based fingerprint matching system. This project involved usage of image
processing techniques for the process of 'minutiae' extraction. Techniques of
histogram equalization, grayscaletobinary conversion, edge detection, weiner
filtering, thinning, pruning and other preprocessing techniques were used. 3. Spam Email filtering Implementation of a na�ve bayes
classifier to classify spam mails. 4. Personalization of Educational Videos A novel idea to personalize and
summarize educational material. Educational videos of universities are
personalized to suit the varied user preferences based on set of generic
rules. 5. Primer
selection and sequence alignment |
An application of Bio-informatics, this project features primer matching, finding cleaving sites, sequence search and sequence alignment.
ACCOMPLISHMENTS
PROFESSIONAL
EXPERIENCE
Lucas TVS Ltd,
I worked to implement a Web-based gauge information system. This project involved developing webpage interfaces for input and retrieval of information on gauges and also dealt with query and maintenance of Oracle database server. This project required demonstration of strong programming skills and working with ASP, VBScipt, JavaScript and SQL and PLSQL query languages.
PUBLICATIONS
Ramnath,
Krishnan, �Rule Based Personalization of Educational Videos�, APOGEE
2004,