Creating High quality Research Groups and maturing them to a self-sustainable entity is one of the ambitions of the project. The salient points of the activites surrounding the research groups are given below. Every research group will work in a specific domain. Domain areas are also listed below
Outcomes and Progress will be measured using following parameters
Adhering to timeline as per the guidelines, proactive response to emails from the mentors and providing required information, Creating a broader eco-system to synergize this initiative with other institutional activities, Number of regular/consistency in meetings or interactions happened both within and outside the research group
Training students, research Scholars and teachers who may help them to do project/research, Certifications in DLI, cloud, Azure,Data Science, Machine Learning, AI Courses.
Papers published in top conferences and journals (Only Scopus and SCI Journals will be considered), Grant written/submitted relevant to group research (International,National and State Funding Agencies).
Development of new student projects, Contribution to the research community in terms of sharing archive of resources/datasets, code contribution: Progress in programming publicly available code in Github, Making new mobile apps or products useful to the society, innovations and startups.
Creating meaningful image and perception to the outside world by regular, impactful coverage in social/print media, organizing competitions, international/industrial experts related to AI visiting your institution, Creating your perception as a quality AI group, Industrial and International Collaborations: Level of interaction/collaboration with industry/Academia.