Kannan U V's
Portfolio et al.
Resume [pdf], last updated Jun 2009.
Skills
Domains: Image Processing, Machine Learning,
Computer Vision, Product Lifecycle Management
Programming: C/C++, MATLAB, Unix shell scripting, Java, 68HC11 Assembly code
Libraries: Nokia Qt, Kitware ITK, Kitware VTK, OpenGL, Nvidia Cg, Nvidia CUDA, FLTK, Siemens
TeamCenter Enterprise® customization
IDEs: MS Visual Studio, Eclipse
Operating Systems: Windows, Linux, HP-UX
Tools: MS Expression Web, MS Project, MS Visio
Other: LaTeX, SVN, Rational ClearCase
Education
Master of Science in Graphics & Scientific Visualization
Institution: University of Utah, Salt Lake City, UT, USA
GPA: 3.92 / 4.0
Graduation date: May ’09 (Expected)
Master's Thesis: Automatic markup of neural cell membranes using boosted decision stumps
Bachelor of Engineering in Electrical & Electronics
Graduation date: May ‘03
GPA: 7.4 / 10 (~3.3/4)
Institution: College of Engineering, Guindy, Anna University, Chennai, India
Publications
Kannan U. V., M. Kim, D. Gerszewski, M. Hall, “Assembling large mosaics of electron microscope images using GPUs"; Symposium on Application Accelerators in High Performance Computing (SAAHPC’ 09)[Accepted]
Kannan U. V., A. Paiva, E. Jurrus, T. Tasdizen, "Automatic markup of neural cell membranes using boosted decision stumps", IEEE International symposium on biomedical engineering (ISBI 2009) [Accepted]
J. Anderson, B. Jones, J. Yang, M. Shaw, C. Watt, P. Koshevoy, J. Spaltenstein, E. Jurrus, Kannan U. V., R. Whitaker, D. Mastronarde, T. Tasdizen, R. Marc, “Ultra structural mapping of neural circuitry: A computational framework” ", IEEE International symposium on biomedical engineering (ISBI 2009) [Accepted]
J. Anderson, B. Jones, J. Yang, M. Shaw, C. Watt, P. Koshevoy, J. Spaltenstein, E. Jurrus, Kannan U. V., R. Whitaker, D. Mastronarde, T. Tasdizen, R. Marc, “A Computational Framework for Ultrastructural Mapping of Neural Circuitry”, PLoS Biology
Academic Projects
Image Processing: Implemented algorithm for Image Mosaicing. Given set of image correspondences, the projection transforms were calculated and the final mosaic image was generated.
Machine Learning: Implemented a cascade architecture based classifier for finding synapses in Rabbit retina images based on an ICCV'03 paper Learning a Rare Event Detection Cascade by Direct Feature Selection by Jianxin Wu et. al.
CUDA: Converted a C++ based image processing application to CUDA achieving 12x acceleration. The application assembles a mosaic of electron microscopy images. Work accepted at SAAHPC 2009.
Computer Vision: Reconstructed 3D model of the Stanford dragon from Silhouette images obtained by rotation of the model.
OpenGL: Implemented “An Approximate Image-Space Approach for Interactive Refraction”(ACM Transactions on Graphics) by Chris Wyman using shaders. In addition, have also worked on Bump Mapping, Shadows (projection, maps, and volumes), and Textures among several other Basic OpenGL topics.
Computer Aided Geometric Design: Wrote a program that can display 3D polynomial B-spline surfaces using iso-lines and can also create a surface that interpolates to a grid of data with nodal interpolation.
Experience
Graduate Research Assistant (Aug '07 – present)
Scientific Computing & Imaging Institute, University of Utah, Salt Lake City, USA
As a member in the CRCNS group, Developed new algorithms based on machine learning and image processing techniques. These algorithms were used to segment cell membranes and synapses on neural tissues scanned using an Electron microscope. Designed& developed a Qt/C++ based viewer to browse microscopy images with the markup data overlay. Developed shell scripts to automate the use of open source brain image segmentation tools for large datasets.
Programmer Analyst (Oct '03 – Jly '07)
Tata Consultancy Services (TCS), Multiple locations in USA and India
As a member of Product lifecycle management solutions group, designed and developed C/C++ and Java based applications. As a techical lead, co-designed 15+ person-months development effort, managed a 24x7 5-member application maintenance/production support team. Organized & conducted training sessions and mentored new hires in the group.
Embedded Systems Engineer (Jun ‘03 – Oct ‘03)
Appasamy Ocular devices, Chennai, India
As a member of Research and Development division, developed prototype for an Ophthalmic LASER to coagulate retinal lesions using a Motorola 68HC11 micro controller based board with serial port, LCD, Key Board interfaces
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