Deepak Mav

Title: Deepak Mav: Innovator in Bibliographic Reference Screening

Introduction

Deepak Mav is an accomplished inventor based in Cary, NC (US). He has made significant contributions to the field of bibliographic reference screening through his innovative patent. His work focuses on enhancing the efficiency of information retrieval processes.

Latest Patents

Deepak Mav holds a patent titled "Methods and systems to estimate recall while screening an ordered list of bibliographic references." This patent outlines a method that includes sorting a list of bibliographic references according to a sorting algorithm to produce a first list in order from most to least relevant. The process involves selecting the most relevant reference, displaying information associated with it to a human screener, and receiving the screener's judgment of its relevance. If deemed sufficiently relevant, the reference is moved to a second list, and the remaining references are re-sorted based on the screener's feedback. A statistical model is then used to estimate the number of relevant references remaining, which is displayed to the screener. The process concludes when the screener determines that a sufficient number of relevant references has been found.

Career Highlights

Deepak Mav is currently employed at Sciome, LLC, where he continues to develop innovative solutions in the field of information retrieval. His expertise in bibliographic reference screening has positioned him as a valuable asset to his team.

Collaborations

Some of Deepak's notable coworkers include Brian Edward Howard and Ruchir Shah. Their collaborative efforts contribute to the advancement of technologies in their field.

Conclusion

Deepak Mav's innovative work in bibliographic reference screening exemplifies the impact of technology on information retrieval processes. His contributions continue to shape the way researchers access and evaluate relevant information.