Pondicherry Engineering College is a partner Institute in TEQIP-III under subcomponent 1.3, which aims at Twinning Arrangements to Build Capacity and Improve Performance of Participating Institutes. This Institute has been selected as Mentor Institute to participate in twinning arrangements with Institute of Engineering & Technology Lucknow(Mentor Institute). Pondicherry Engineering College as the Mentor Institute, is expected to help the Mentor Institute in strengthening the academics and research activities by sharing the knowledge and experience through mutual interactions, in streamlining various procedures & processes leading to overall improvement and capacity building and developing long-term relationship with the Mentor Institute.
The Department of Information Technology (IT) was established in the year 2000. The Department has well experienced faculty, skilled technical staff and state-of-art well-equipped laboratories. It offers a postgraduate M.Tech.(IT) and undergraduate B.Tech.(IT) programmes and aims at providing high quality training to students through the latest developments in Information technology. In order to maintain the standard of education, the Department upgrades periodically the academic syllabi so as to keep the students well to deal with changing trends in the field of Information Technology. The Department emphasizes on Information Security, Image Processing, Software Engineering, Real time Systems, Natural language processing, Big Data Analytics, Mobile Networks, Data Mining, Web Technology, Cloud computing and several other recent topics.
Our Vision and Our Mission
"To produce competent professionals in Information Technology so as to achieve the global innovation of Engineering and Technology". "To provide high quality education and training in Information Technology through advanced learning environment with state-of-the art
facilities, teaching methodologies, contemporary curriculum and research".
Big data Analytics is one of the most promising areas can be applied to make a change in healthcare. Healthcare professionals, just like business entrepreneurs, are capable of collecting massive amounts of data and look for best outcome. The goal is to help doctors make big data-informed decisions within seconds and improve patients’ treatment. This is particularly useful in case of patients with complex medical histories, suffering from multiple disorders. National Conference on BIG DATA ANALYTICS FOR HEALTH PREDICTIONS’20 provides a common forum for researchers, engineers, medical professional and students to review the latest developments in the area of Big Data Analytics for Healthcare. NCBDAHP’20 aims to provide an environment where the authors and participants can establish research relations and collaborations with various eminent academicians, research fellows and scientists.In addition, the papers selected for the conference can be published in one of the following journals with additional cost.
- International Journal of Multidisciplinary Educational Research                           ISSN
2277-7881, DOI: 4150-2667/IJMER01, Scopus, ProQuest, EBSCO, UGC.
- International Journal Of Research And Analytical Reviews                           ISSN 2349-5138, DOI: 10.4225//01//4F3DB08617645
, UGC, COSMOS.
- International Journal of Scientific and Engineering Research                           ISSN 2229-
5518, DOI:10.14299/000000, EBSCO, DOAJ, CiteSeer, UGC.
- International Innovative Research Journal of Engineering and Technology
ISSN 2456-1983, DOI: 10.32595/iirjet.org/v4i3, Crossref, ResearchGate.
- International Journal of Engineering Research and Applications,                           ISSN
2248-9622, DOI: 10.9790, DOAJ, EBSCO, ProQuest, UGC.