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Research and Innovation:
Publications

BITS places a premium on innovation by transforming ideas into a sustained commitment to research and knowledge creation. Furthermore, we emphasise contribution through novel and useful patentable inventions.

Know more about the publications we hold across various departments

BITS emphasises innovation by translating ideas into a continuous commitment to research and knowledge creation. In addition, we also emphasise contribution through the novel and useful patentable inventions. 

13247

PILANI

7322

HYDERABAD

4638

GOA

1685

DUBAI

5.    Nambi, Suresh, U. Anil Kumar, Kavya Radhakrishnan, Mythreye Venkatesan, and Syed Ershad Ahmed. “DeBAM: Decoder Based Approximate Multiplier for Low Power Applications,” IEEE Embedded Systems Letters (2020).  


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4.  U. Anil Kumar and Syed Ershad Ahmed, ” Hardware Efficient Approximate Multiplier Architectures for Media Processing Applications,” Circuit World.  (2021)    


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3.    U. Anil Kumar and Syed Ershad Ahmed, “Compressor based Approximate Multiplier Architectures for Media Processing Applications,” International Journal of Electrical & Computer Engineering,  Vol 11, No.4, Aug 2021 


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2.  Syed Ershad Ahmed and M. B. Srinivas, “An improved logarithmic multiplier for media processing.” Journal of Signal Processing Systems  (2019): 561-574 


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1.Syed Ershad Ahmed, Santosh Varma, and M. B. Srinivas, “Improved designs of digit-by-digit decimal multiplier.” Integration 61 (2018): 150-159. 


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Arnav Yayavaram, Siddharth Yayavaram, Prajna Upadhyay, Apurba Das. BERT-based Idiom Identification using Language Translation and Word Cohesion. MWE-UD, held in conjunction with LREC-COLING 2024.


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Nelly Barret, Ioana Manolescu, Prajna Upadhyay. Computing Generic Abstractions from Application Datasets. EDBT 2024.


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Prajna Upadhyay, Oana Balalau, Ioana Manolescu. Open Information Extraction with Entity-Focused Constraints.  EACL (Findings). 2023.


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Nelly Barret, Ioana Manolescu, Prajna Upadhyay. Abstra: Toward Generic Abstractions for Data of Any Model. CIKM Demo. 2022


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Prajna Upadhyay, Maya Ramanath. PreFace++: Faceted Retrieval of Prerequisites and Technical Data. In The European Conference on Information Retrieval (ECIR Demo Track). 2021


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