Profile Summary

Prof. Shrinivasa Varakhedi is a highly decorated scholar and academic administrator specializing in Navya Nyaya, Sanskrit Computational Linguistics, Logic, and Vyakarana. He holds a Ph.D. (Vidyāvaridhi) in Nyaya and has dedicated his career to the modernization and interdisciplinary integration of Sanskrit studies.

Honors & Awards

• Maharshi Badarayan Vyas Samman (2007): Conferred by the President of India for exceptional contributions to the interdisciplinary field involving Sanskrit.
• Chinmayananda Gold Medal (2012): Recognized for intellectual achievements and academic pursuits in Interdisciplinary Studies in Sanskrit Research.
• Śrī Rājavidyāmānya (2015) & Vidyamanya Praśasti (2004): Titles awarded for extensive scholarship in traditional Shastras.

Career & Academic Leadership

• Vice-Chancellor: Central Sanskrit University, New Delhi.
• Former Vice-Chancellor: Kavikulaguru Kalidas Sanskrit University (2014-2015).
• Acting Vice-Chancellor & Dean: Karnataka Sanskrit University, leading academic administration, organizing research programs, and designing curricula.
• Director: Sanskrit Academy (Adarsha Shodha Sansthan), Osmania University, Hyderabad (2008-2011).

Major Technological Initiatives

• Project Director (2016-2018): Developed the Pali Morphological Analyser, funded by the Pali Institute.
• Project Director (2015-2017): Headed the SAARA project for Kannada to Telugu Machine Translation under the Dept. of Electronics, Govt of India.
• Principal Investigator (2008-2011): Led the Sanskrit-Hindi Machine Translation system and development of language analysis tools.
• Coordinator: E-Vacaspatyam CD project and the Ramayana on Internet Project.

Selected Publications

• Pramāņapaddhati: The Path of Proofs of Sri Jayatirtha (English Rendering, 2011)
• Navya Nyayaparibhāṣayā 'conceptual graph' paddhatyā ca Prameya Nirūpaņa Pranālī (2013)
• Ganakapāņinīyam (Sanskrit Translation of Research papers on Sanskrit Computational Linguistics)
• Extensive research articles on Computational Structure of Ashtadhyayi, text-to-speech for Sanskrit, and linguistic modeling frameworks.