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Chetan Sharma

is the head of R&D for XLPAT. With a background in technology research and consulting he joined (AI based IP research tool) for developing machine learning and NLP based systems for patent portfolio assessment. He has developed frameworks in semantic search models using NLP and AI algorithms. He has been part of International Conferences in Japan and works closely with many national/international academic institutions to implement technology platforms to expedite innovations

Recent Articles by Chetan Sharma

IP Commercialization Is the Key Measure for Patent Quality Assessment

With exponential growth in patent filings each year and expanding company portfolios, Patent Quality Assessment (PQA) has become a significant and crucial task. USPTO maintenance fees, which are required to be paid periodically to keep a patent alive for 20 years, further add to the importance of maintaining only quality patents. Patent professionals worldwide have developed a myriad of metrics to assess the quality of patent assets. Benchmarking tools include terms like “Qscore” and “Asset indexes” to quantify the qualitative attributes of a patent.

Why “Invent in India” would be a better message than “Make in India”

Make in India suggests that India is not empowering the nation to invent more or further but only to serve as a third wheel for other technological giants… India as a nation has a history of a glorious and innovative past. In our mythology, we have a knowledge bank of scientific thoughts related to flying machines, medicinal science and even genetic advancements. However, the current state of scientific and technological affairs is quite grim in India. India has failed to exploit its historical and scientific know-how to its fullest, and that has hampered the growth of the country in terms of its technological advancements.