VIT, Biomedical Department is organizing anAICTE-ISTE approved Two-Week Graded STTP on ‘Recent Innovations in Healthcare Technology ’ from 18th June 2012 to 29th June 2012.
This course is open for faculty as well as students.
The course would cover Theory and Practical sessions on the following topics:
*Students of Biomedical Engineering can visit the exhibition on the below mentioned dates. This post will also give you an idea of what you can work on in your final year project.
NATIONAL BRAIN RESEARCH CENTRE (NBRC), Manesar-122 050, Gurgaon, requires a “R&D Engineer” for Brain Image Processing.
Interested candidates fulfilling the following requirement can submit their bio-data alongwith
attested copies of certificates in support of their qualifications and experience mentioned in
the bio-data latest by 25th January 2012 to
“The Registrar, National Brain Research
Centre, Nainwal Mode, Manesar-122 050, Distt- Gurgaon (Haryana)
Minimum qualification : M.Tech / MS (Electrical / Electronic /Computer Science / Chemical) or Ph.D. in Physical Science / Mathematics
Desirable quality : Expertise in Matlab coding
Compulsory requirement :
This course has two components. On the one hand, it is an introduction to digital image analysis presenting selected fundamental problems in medical image analysis, computer vision, photo/video editing, and graphics. We cover such basic concepts as image segmentation, registration, object recognition/matching, tracking, texture, etc. On the other hand, this is an applied course on standard computer science algorithms where students develop practical understanding of dynamic programming, graph based algorithms, computational geometry methods, etc. In fact, image analysis provides a stimulating environment for studying algorithms as their outputs can be intuitively visualized. Students with previous background in algorithms will be exposed to applications in image analysis, while students already familiar with problems in imaging will learn efficient methods based on standard CS algorithms. The course emphasizes the design, analysis, and implementation of algorithms in the context of 2D/3D medical images, photo and video data.