Homepage of Deepak Roy Chittajallu

Research Endeavours


Miscelleneous


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OBJECTIVE

To pursue state-of-the-art research in the field of Computer Graphics and Computer Vision.

AREAS OF INTEREST

Computer Vision, Computer Graphics, Geometric Modeling, Artificial Neural Networks

EDUCATION

PhD in Computer Science
Department of Computer Science
University Of Houston, Houston, Texas, USA
Research Area: Cardiovascular Informatics
Advisor: Ioannis A. Kakadiaris


Since Summer 07
GPA: 3.6


Masters in Computer Science
Department of Computer Science
University Of Houston, Houston, Texas, USA
Thesis: Computational Tools for Computer-Aided Breast Reconstructive Surgery
Advisor: Ioannis A. Kakadiaris


Fall 04 - Spring 07
GPA: 3.6


Bachelor of Technology in Computer Science and Information Technology
Jawaharlal Nehru Technological University, Hyderabad, India.
Thesis: Vigilcam Video surveillance system
Advisor: Prof.Kumar Eswaran

2000 - 2004
First class with Distinction

Standardized test scores :

GRE : 1360/1600 ( 800/800 Quantitative, 560/800 Verbal, 4.0/6.0 Anal Writing)
TOEFL : 260/300

SOFTWARE SKILLS

Languages and Libraries:

C, C#, C++, COBOL, Java, Visual Basic, Visual C++, SQL, PL/SQL, HTML, 8085/86 Assembly language, Lisp, MFC, Open GL, QT, ITK, FLTK, TWAIN, MATLAB

Web Technologies:

DHTML, ASP .NET, VB .NET

Operating Systems:

MS Windows 95/98/2000/NT/ME/XP, Linux, Unix, MS-DOS

Java Technologies:

Core Java, JDBC, JavaBeans , Servlets, Swing

Protocols:

TCP/IP protocol suite, HTTP, FTP, OSI model

Databases and Tools:

Oracle 8i , Ms Access , Developer 2000, MySQL

Multimedia / Web Design tools:

Flash, Adobe Photoshop, MS Front Page , Ms Word , Ms Excel

Modeling and Simulation Tools:

ABAQUS, Rapid Forms

THESES

Vigilcam Video Surveillance system
Undergraduate Thesis - 2004
Prof. Kumareswaran, Advisor


Development of an autonomous computer-based video surveillance system that perceives action in live video imagery captured by a surveillance camera and alerts the human operator of any suspicious activity.

Computational Tools for Computer-Aided Breast Reconstructive surgery
Masters Thesis - 2007
Prof. Ioannis A. Kakadiaris, Advisor


With the exception of skin cancer, breast cancer is the most common cancer diagnosis among women worldwide. Post-mastectomy breast reconstruction is the third most frequently performed reconstructive procedures. The continuous creation and adoption of new surgical techniques and devices have made it possible for the surgeons to reconstruct the breast in many different ways, thus making the decision-making job of the surgeon much more difficult. Current trial and error methods may lead to an unsatisfactory surgical outcome. Hence, there is an urgent need for a system that can pre-operatively simulate the surgical options, visualize potential outcomes of the surgery, and, consequently, help the surgeon and the patient in the process of surgical planning and decision making.

In this thesis, we present a set of computational tools for breast segmentation and breast shape modeling. More specifically: 1) we propose a new algorithm for automatic segmentation of the 3D data of a breast from a 3D scan of the patient's torso; and 2) we present a second generation deformable model for compact representation of the breast shape as estimated from 3D triangular mesh data of the patient's breast. These techniques can serve as the foundation of a number of applications in pre-operative planning for breast reconstruction and for breast plastic surgery in general.



RESEARCH/WORK EXPERIENCE

Summer 2007- Current


Description

University of Houston, Department of Computer Science
Graduate Research Assistant in the Computational Biomedicine Lab
Advisor: Prof. Ioannis A. Kakadiaris


Research Topic

Cardiovascular Informatics


Environment

Matlab, C\C++, QT, ITK, VTK, MATITK, LIBSVM, Ms Windows, Linux


Work Summary

  • Developed a graph-based method for automatic delineation of the inner thoracic region in non-contrast CT data.
  • Developed Fuzzy Cuts - A knowledge-driven graph based method for medical image segmentation
  • Co-developed a learning-based method for the estimaton of of coronary artery zones in non-contrast CT data.
  • Co-developed a supervised hierarchical classification scheme for the detection of coronary calcifications in non-contrast CT data.

Fall 2004 - Spring 2007


Description

University of Houston, Department of Computer Science
Graduate Research Assistant in the Computational Biomedicine Lab
Advisor: Prof. Ioannis A. Kakadiaris


Research Topic

Computer-Aided Breast Reconstructive Surgery


Environment

OpenGL, MFC, Ms VC++ 6.0, Ms Windows, My SQL, ABAQUS, Rapid Forms.


Work Summary

  • Developed the UH-CARES software for computer-aided breast reconstructive surgery that includes three modules, namely -
    • Automatic Non-Invasive Breast Volume Estimation
    • Graphical environment that allows the surgeon to interactively create a female breast model using a novel physics based deformable female breast model
    • Patient database maangement.
  • Conducted Simulation studies for post-mastectomy breast reconstructive surgery using ABAQUS.
  • Developed algorithms for automatic extraction of breast volume from 3D scan data of the female breast.

Summer 2004


Description

Altech Imaging and Computing, Hyderabad, India,
A commercial research group specializing in Image Processing and Artificial Neural Networks lead by my undergraduate advisor Prof. Kumar Eswaran.


Research Topic

Video Surveillance and Monitoring


Environment

Microsoft VC++ 6.0, TWAIN, Video for Windows, Microsoft Windows


Work Summary

  • PROJECT: Commercial Security System

    An autonomous security system that continuously monitors the activity captured by various surveillance cameras and reports concerned personnel of any suspicious activity.

    My Role: Motion detection and activity perception, video capture and playback

  • PROJECT: Guided Object Tracking in Airborne Video

    Involved the automatic tracking of an object in the airborne video once the object is pointed out by the operating personnel.

    My Role: Guided Object tracking using a new statistical Image Processing approach, AVI file manipulation and playback

  • PROJECT: Target recognition

    Involved automatic classification of all objects in an image captured by the camera.

    My Role: Motion detection, Video capture and playback


ACHIEVEMENTS

Secured 1268th rank in the Entrance Examination for Undergraduate Admission (EAMCET - 2000) in the year 2000 out of a total of 150,000 students in the State.

Secured 496th rank in Indian Institute of Information Technology (IIIT - HYDERABAD) entrance examination in the year 2000 out of a total of 50,000 students from all over India.

Certificate of Merit in Mathematics Olympiad - 1997-98.

Secured a rank of 83 in a State level talent search examination - 1997-98.

REFERENCES

Available upon Request