Research Projects

The success of an academician is traditionally evaluated on two primary dimensions: teaching and research. These two facets not only define an academician’s professional standing but also serve as key indicators for determining eligibility for academic awards, career promotions, and other professional advancements. In India, the University Grants Commission (UGC) has established comprehensive guidelines and assessment frameworks to measure the performance of academicians in these areas. This document focuses on the UGC’s research assessment measures, highlighting their advantages and drawbacks. We identify several open challenges within the existing framework and propose potential improvements that could enhance the robustness of the evaluation process, in-turn fostering a more competitive and impactful academic environment. Our goals for academic assessment (for research) are as follows (i) Improve research quality; (ii) Normalizing impact scores of research papers across venues; (iii) Foster a competitive research environment; (iv) Add a temporal component to reward researchers who are updated with current trends; and (v) Peer feedback based measures to assess quality like CORE ranking. We elaborate these on goals later and explain our approach to achieve these goals. We summarise the challenges in designing our system and our detailed plan to achieve our goals. The system we intend to design has two important components, each of which has its own challenges. The first important component is a information retrieval component. Various platforms like Google Scholar, dblp and Scopus parse the web-pages of different journals and conferences to obtain a corpus of document names with large amounts of meta-data like author names, affiliations, cited papers, abstract, keywords, and more. This information is used to compute the rankings of different researchers using the before mentioned researchers. Summary of the different technical challenges to obtain the corpus and clean the information is as follows: 1. Information needs to be obtained by parsing web-pages to obtain papers published across different venues. 2. Disambiguation of authors 3. Disambiguation of papers and venues Our model generation has multiple mathematical models. A detailed explanation for each of these models is added in the proposal document. Each of these models help us to estimate both the assessment academician and also design an indigenous system for venue assessments.