Rajeev Sangal: Difference between revisions
Created page with "{{Infobox academic | name = Rajeev Sangal | occupation = Professor | education = Ph.D | workplaces = IIIT-H }} == Rajeev Sangal == '''Dr. Rajeev Sangal''', a distinguished researcher in Machine Translation and Artificial Intelligence, has also dedicated his efforts towards Universal Human Values. Previously, he served as a Professor at IIIT Hyderabad from 2018 to 2022.<ref>{{Cite web |title=Faculty profile IIIT |url=https://faculty.iiit.ac.in/~sangal/web/}}<..." |
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{{Infobox | {{Infobox Professor | ||
| | | education = Ph.D | ||
| occupation = Professor | | occupation = Professor | ||
| | | Institute = IIIT-H | ||
| | | specialization = NLP and Machine Translation | ||
}} | }} | ||
Latest revision as of 09:02, 12 December 2024
Rajeev Sangal[edit | edit source]
Dr. Rajeev Sangal, a distinguished researcher in Machine Translation and Artificial Intelligence, has also dedicated his efforts towards Universal Human Values. Previously, he served as a Professor at IIIT Hyderabad from 2018 to 2022.[1]
Prior to that, he held the esteemed position of being the first Director of the Indian Institute of Technology (BHU), Varanasi, from 2013 to 2018. Furthermore, Dr. Sangal played a pivotal role in the development of IIIT Hyderabad, where he served as the Director for more than two terms from 2002 to 2013, during its establishment. Before his tenure at IIIT Hyderabad, he served as a faculty member at IIT Kanpur from 1982 to 1999. During his time at IIT Kanpur, he also served as the head of the Department of Computer Science and Engineering from 1987 to 1990.[2][3]
Education[edit | edit source]
Dr. Sangal holds a B.Tech degree in Electrical Engineering from IIT Kanpur, and he pursued his Master's and Ph.D. in Computer and Information Science from the University of Pennsylvania in 1980.[4]
Research & Publications[edit | edit source]
His research interests include Natural language processing, artificial intelligence, machine translation, and speech processing.[5]
- Machine Translation System as Virtual Appliance: For Scalable Service Deployment on Cloud in 2013.[6]
- A Novel Approach Towards Building a Portable NLIDB System Using the Computational Paninian Grammar Framework in 2012.[7]
- Action semantics in PurposeNet in 2011.[8]
- Novel Approach for Tagging of Discourse Segments in Help-Desk E-Mails in 2011.[9]
- Extraction of purpose data using surface text patterns in 2010.[10]
- Dashboard: An integration and testing platform based on backboard architecture for NLP applications in 2010.[11]
- Software Engineering: Research-Led Education with Human Values in 2009.[12]
References[edit | edit source]
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