Pranav Shetty

pranav dot shetty_at_gatech dot edu | LinkedIn: pranav-shetty

I am a research scientist with the AI Research team at JP Morgan. I graduated with a PhD in Machine Learning from Georgia Tech in August 2023 working with Prof. Rampi Ramprasad and Prof. Chao Zhang. I worked in Natural Language Processing for knowledge and information extraction from scientific literature. My research was supported by the 2022 JP Morgan PhD Fellowship. I am the creator of the platform polymerscholar.org used to search for material property data found in published literature. I have previously worked at Sony, Japan, and spent a summer at JP Morgan AI Research working on summarization models for company filings in low-resource settings. I am currently working on multimodal vision language models for document understanding.

Publications

• A general-purpose material property data extraction pipeline from large polymer corpora using Natural Language Processing, P Shetty, A Rajan, C Kuenneth, S Gupta, L Panchumarti, L Holm, C Zhang, R Ramprasad, npj Computational Materials 9, 52 (2023)
• PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature, J Cheung, Y Zhuang, Y Li, P Shetty, W. Zhao, S. Grampurohit, R Ramprasad, C Zhang, arXiv preprint arXiv:2311.07715 (2023)
• Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning, R Zhang, Y Yu, P Shetty, L Song, C Zhang, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
• Automated knowledge extraction from polymer literature using natural language processing , P Shetty, R Ramprasad, Iscience, 24(1), (2021), 101922
• Machine-Guided Polymer Knowledge Extraction using Natural Language Processing: The example of Named Entity Normalization, P Shetty, R Ramprasad, Journal of Chemical Information & Modeling, (2021)
• BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition, Y Li, P Shetty, L Liu, C Zhang, L Song, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)”, (2021)
• Dielectric Polymers Tolerant to Electric Field and Temperature Extremes: Integration of Phenomenology, Informatics, and Experimental Validation, C Wu, L Chen, A Deshmukh, D Kamal, Z Li, P Shetty, J Zhou, H Sahu, H Tran, G Sotzing, R Ramprasad, Y Cao, ACS Applied Materials & Interfaces, (2021)
• Machine Learning predictions of Polymer Properties with Polymer Genome, H Tran, C Kim, L Chen, A Chandrasekaran, R Batra, S Venkatram, D Kamal, J Lightstone, R Gurnani, P Shetty, M Ramprasad, J Laws, M Shelton, R Ramprasad, Journal of Applied Physics, 128.17 (2020): 171104
• Growth of single crystal, oriented SnO2 nanocolumn arrays by aerosol chemical vapour deposition, K Haddad, A Abokifa, S Kavadiya, TS Chadha, P Shetty, Yang Wang, J Fortner, P Biswas, CrystEnggComm, 18.39 (2016): 7544-7553
• Waste heat recovery based clothes dryer, A Dhariwal, P Shetty, R Desai, P Bhatia, P Iyengar, A Manepalli, H Agarwal, A Vaidya, Patent no: IN1391/MUM/2015
• Foot operated container crusher and its method thereof, P Shetty, A Dhariwal, R Gehlot, S Patidar , Patent no: IN2596/MUM/2015

Personal

I have traveled extensively through Europe and South East Asia having visited ~20 countries. In my free time, I enjoy reading and was involved with the Graduate Student Senate of Georgia Tech, working on initiatives related to Teaching Assistantships. I was also part of the TI:GER program during my PhD. I was an active quizzer in years past and represented India at the Brain World Cup and won the National round of the Sweden India Nobel Memorial Quiz.