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Rangasami L. Kashyap

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Indian applied mathematician (1938–2022)
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Rangasami L. Kashyap
Born(1938-03-28)28 March 1938
Died11 November 2022(2022-11-11) (aged 84)
Alma materHarvard University
Indian Institute of Science
University of Mysore
AwardsPadma Shri (2021)
Scientific career
FieldsPattern recognition
InstitutionsPurdue University
Thesis Pattern classification and switching theory (1965)
Doctoral advisorYu-Chi Ho
Doctoral students

Rangasami Lakshminarayan Kashyap (28 March 1938 – 11 November 2022) was an Indianapplied mathematician and a Professor ofElectrical Engineering atPurdue University.

He developed (withHarvard professorYu-Chi Ho) theHo-Kashyap rule, an important result (algorithm) inpattern recognition.

In 1982, he presented the Kashyap information criterion (KIC) to select the best model from a set of mathematical candidate models with different numbers of unknown parameters. These parameters are adjusted to adapt the models to data (observations) that have trends and statistical variation in the measured values.

He is a Fellow of theInstitute of Electrical and Electronics Engineers, the International Association for Pattern Recognition, and the Indian Institute of Electronic and Telecommunication Engineers.

In the field of Vedic studies, he has made contribution including the complete translation into English all the four major and most ancient collection of verses inSanskrit namelyRigveda Samhita, KrishnaYajurveda Samhita, andSamaveda, andAtharvaveda, consisting together of about 25000 metrical verses in the Sanskrit of Vedas (different from classical Sanskrit).

Kashyap is the only person in the world to translate all the 4vedas recognizing his achievement he was honored by the Govt. of India with thePadma Shri award in 2021 under the Literature and Education field.

Kashyap died on 11 November 2022, at the age of 84.[1]

Biography

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Education

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Prof. Rangasami L. Kashyap received his early education from theNational College, Bangalore,Central College, and at theIndian Institute of Science (the degrees of ME and DIISc). He was awarded the distinguished alumni award from IISc in 2010.[2] Prof. Kashyap received his Ph.D. from Harvard in 1966.

Career

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Prof. Kashyap served as a Professor Emeritus of Electrical and Computer Engineering, at Purdue University, USA[3] and was also the director of theSri AurobindoKapali Sastry Institute of Vedic Culture. While at Purdue, he has published more than 200 research papers in advanced scientific Journals and delivered more than 200 papers at National and International conference, including several keynote speeches.[4]

Awards

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Prof. Kashyap received theIAPRKing-Sun Fu Prize in 1990 for fundamental contributions to pattern recognition.[5] He was also awarded theRajyotsava Prashasti Award in 2012 by the Govt. ofKarnataka.[6]

Selected publications

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Thesis

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  • Kashyap, R. L. (1965).Pattern classification and switching theory. PhD thesis, written under Yu-Chi Ho.

Articles

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  • Kashyap, R.L. 1982; Optimal choice of AR and MA parts in autoregressive moving average models; Article printed in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI); Published by IEEE; March 1982; volume PAMI-4(2); pages 99–104;doi:10.1109/TPAMI.1982.4767213
  • Ho, Y.C. and Kashyap, R.L. 1965; An algorithm for linear inequalities and its applications; Article printed in IEEE Trans. Electron. Comput.; Published by IEEE; 1965; volume 14 (5); pages 683–688;https://ieeexplore.ieee.org/xpls/abs_all.jsp?4038553 ;doi:10.1109/PGEC.1965.264207 ; Access date 19 May 2008

References

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  1. ^Arora, Sumit (14 November 2022)."85-Year-old Renowned mathematician RL Kashyap passes away".adda247. Retrieved29 April 2025.
  2. ^"IISC Distinguished Alumni". Indian Institute of Science. 2010.
  3. ^"Professor Emeritus at Purdue University". Purdue University. 2022.
  4. ^"Publications at Purdue". 2022.
  5. ^"King-Sun Fu Award 1990". International Association of Pattern Recognition. 1990.
  6. ^"Rajyotsava Award 2012". Government of Karnataka. 2012.

External links

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Recipients ofPadma Shri in Literature & Education
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