Research at BMCE aims to develop innovative solutions to the world’s most daunting challenges. From addressing the requirements of tomorrow BMCE’s research efforts are enhanced through collaborations with leading research institutes and consortia around the world to provide cutting edge research activities.
Livelihood in a new-fangled atmosphere can be a taxing and sometimes off-putting experience, in particular for young students who are entering the Engineering College for the first time. Keeping these things in mind, BMCE provides all the basic facilities and support services on the campus to help students pursue their studies and research without any hindrance. Services of the central library and computer center are some of the services that are heavily used by the students. All these central facilities are well equipped with the necessary infrastructure.
It is important that for the higher Research degree such as Ph.D, the applicant has the choice of the area of research. It is equally beneficial, if the Place of Research and the Research Supervisor are identified by the researcher him/her self. Considering these, in the application format, the Place of Research and the Research Supervisor are required to be filled in by the candidates. KTU does not provide list of Places of Research or names of Research Supervisors. The University reserves the right to verify the qualifications of the applicants and also the credentials of the proposed Place of Research and of the Research Supervisor. The Ph.D applicants are advised to contact the authorities of the affiliated Colleges and the prospective Research supervisors before filling in the applications.
The stipulations with regard to the qualifications of the candidate and the eligibility criteria to be the Place of Research and to be a Research Supervisor are given in the Ph.D Regulations which are publicized in the KTU website.
Download Brochure
In association with leading Research Organization, Pentagram Research Centre, BMCE launched a Computer Vision Research Laboratory in order to help the faculty and students to do research and publish papers in the field of Signal and Image Processing. Video Image Processing, 3D Image Processing and Knowledge Based Image Processing are the core areas of Research. We are using Logical Image Processing System version 3.0 is a collection of a number of image processing tools developed using Visual C++ and it works in Windows environment. The algorithms pertaining to most of the routines in this package have been developed in a novel logico-mathematical framework called Cellular Logic Array Processing (CLAP). This nontraditional paradigm advocates pattern-directed Search And Replace (SAR) techniques, and so, it guarantees speed and precision
LIPS has three modules: (i) Image Processing, (ii) Pattern Recognition and Analysis and (iii) Pattern Generation. A digital image is treated here as a square array configuration of a cellular automaton and the operation on it as a cellular automaton parallel updating rule. Most of the algorithms used in this package have been developed based on this idea only. The term Pattern Recognition refers here to the detection of local features like straight lines, curves, break points, angles, textures in an image. The main tool used in developing the pattern recognition algorithms is Rajan Transform which is a fast algorithm similar to Decimation-In-Frequency FFT algorithm. Pattern generation is carried out using complex mathematical formulas.