Research Centres

A dedicated Research Centre is the backbone for productive research outcomes. CMR Technical Campus is no exception in establishing Centres in allied areas of current technologies. To match the requirement of the industry, the institute has initiated several centers in every department.

Centre for Additive manufacturing and product design (CAPD) is established for rapid prototyping, designing products and manufacturing systems that are functional, aesthetic, usable, and sustainable. Centre for VLSI & Embedded system design (CVESD) provides practical skills to students and train them for the present needs of VLSI and Embedded Industry. Centre for Advanced Communication Systems (CACS) is a center in the ECE Department that targets the needs of researchers and industry in a fast-paced and technical communications sector, which continues to bring many of the advances that make ultra-fast communications possible. Centre for Signal and Image Processing (CSIP) provides a board area of research problems to work for UG, PG students, and faculty members to gain potential in the domain of Signal Image Video and Antenna and also provide assistance for the Research work. Centre for Mobile and Web Technologies (CMWT) is an emerging disruptive phenomenon of the present trend for implementing real-time ideas with the latest technologies like Android, and IOS. Centre for the Internet of Things (CIOT) is established to cater to the need for academic projects but also used for implementing real-time ideas with sensors, microcontrollers, communication protocols, and cloud technologies. Centre for Data Analytics (CDA) is a facility that centralizes institute Research and Development operations, stores, manages, and disseminates its data, projects, and training. It is created to Provide Domain knowledge with subject experts from industry and make ready for the role of Business Analyst and Business Intelligence. Centre for Knowledge Engineering and Deep Learning (CKEDL) is established to focus on current emerging technologies in the field of AI and Deep Learning.