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Assistant Professor

Dr Jaideepsinh Raulji

Engineering And Technology
Qualifications

Dr. Jaideepsinh Raulji completed his PhD in Computer Science from Dr. Babasaheb Ambedkar Open University, Ahmedabad. His area of research is Natural Language Processing. His thesis titled “The Design and Implementation of Sanskrit to Gujarati Natural Language Processing Algorithm for Machine Translation System” focused on Lemmatization and Morphological Analyzer on Sanskrit language with rule-base transfer of grammar approach. He earned Post Graduate Degree – Master of Computer Applications from Punjab Technical University, Jalandhar. He had also done DOEACC DOEACC O and A Level (Dept. of Electronics, Ministry of HRD, Govt of India) New Delhi. He is also Sun/Oracle Certified Java Programmer, Amazon Web Services (AWS) academician for Cloud and Machine Learning Courses.

Contact Details

Background 

  • Jaideepsinh Raulji has over 18 Years of experience in teaching and academic coordination. He had taught undergraduate and postgraduate courses in BCA, MCA and BTech-CSE programmes. He had worked with Ahmedabad University, Ahmedabad in School of Computer Studies and School of Engineering & Applied Science as Assistant Professor. He also worked with Department of Computer Applications, Faculty of Science, MS University of Baroda and Balaji College of Computer Application, Vadodara (Gujarat University). He is currently associated with Navrachana University.

 

Publications / Conferences Presentations 

  • Jaideepsinh Raulji, Jatinderkumar Saini, Kaushika Pal, Ketan Kotecha, “A Novel Framework for Sanskrit-Gujarati Symbolic Machine Translation System”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 13, No. 4, pp 387, April 2022. ISSN : 2156-5570 (Online), ISSN : 2158-107X (Print), DOI : 10.14569/issn.2156-5570 [SCOPUS & Web-Of-Science]
  • Saini, J.R., Raulji, J.K. (2020). Peer Analysis of “Sanguj” with Other Sanskrit Morphological Analyzers, Proceedings of ICCAN 2019, Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 1119. Springer, Singapore. https://doi.org/10.1007/978-981-15-2414-1_7 [SCOPUS]
  • Raulji J, Saini J, “Sanskrit-Gujarati Constituency Mapper for Machine Translation System”, presented at IEEE Bombay Section Signature Conference (IBSSC), Victor Menezes Convention Center, IIT Bombay, India, 26th-28th July 2019, IEEE Explore, pp. 1-8, doi: 10.1109/IBSSC47189.2019.8972989 [SCOPUS]
  • Raulji J, Saini J, “Bilingual Dictionary for Sanskrit – Gujarati MT Implementation”, International Conference on ICT for Sustainable Development, Goa, 5-6 July 2O19, Published in Springer-AISC. Lecture Notes in Networks and Systems, vol 93. Springer, Singapore. https://doi.org/10.1007/978-981-15-0630-7_45 [SCOPUS]
  • Raulji J, Saini J, “Sanskrit Stopword Analysis through Morphological Analyzer and its Gujarati Equivalent for MT System”, International Conference on ICT for Sustainable Development, Goa, 5-6 July 2O19, Published in Springer-AISC. Lecture Notes in Networks and Systems, vol 93. Springer, Singapore. https://doi.org/10.1007/978-981-15-0630-7_42 [SCOPUS]
  • Raulji J, Saini J, “Sanskrit Lemmatizer for Improvisation of Morphological Analyzer”, International Conference on Emerging Technologies in Computer Engineering : Microservices in Big-Data Analytics, SKIT, Jaipur, India on 1st Feb 2O19, Taylor and Francis, Journal of Statistics and Management Systems, 2O19 May 19;22(4):613-
  • Raulji J, Saini J, “Morphological Analyzer for Sanskrit Language”, presented at International Conference on The Journey of Indian Languages : Perspective on Culture and Society, BAOU-IGNOU Ahmedabad, 14-15 Oct
  • Raulji J, Saini J, “Generating Stopword list for Sanskrit Language”, 7th IEEE, International Advance Computing Conference (IACC-2O17) VNR VJIET Hyderabad, ,Publisher-IEEE-Explore., 5-7 Jan
  • Raulji J, Saini J, “Stop-Word Removal Algorithm and its Implementation for Sanskrit Language”, published in International Journal of Computer Application (IJCA), Foundation of Computer Science NY USA, ISSN: O975 – 8887, Volume 15O -No.2, September
  • Raulji J, Saini J, “Sanskrit Machine Translation Systems – A Comparative Analysis”, published in International Journal of Computer Application (IJCA), Foundation of Computer Science NY USA, ISSN: O975 – 8887, Volume 136, Issue No-1, Feb

 

Areas of Interest 

  • Natural Language Processing, Artificial Intelligence and Machine Learning, Web Technology
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