Editing Vasudeva Varma

{{Infobox Professor
| education = Ph.D
| occupation = Professor
| Institute = IIIT-H
| specialization = Information Retrieval
}}

== Vasudeva Varma ==
'''Dr. Vasudeva Varma''' is a Professor at the [[International Institute of Information Technology, Hyderabad]] (IIIT-H), currently serving as the Head of Language Technologies Research Centre (LTRC) & the Head of [[Information Retrieval]] and Extraction Lab (iREL). His research interests are in the broad areas of Information Retrieval, Extraction & Access, more specifically ~ Social Media Analysis, Summarization, [[Semantic Search]], Text Generation, and [[Cloud Computing]].<ref>{{Cite web |title=Conf research org |url=https://conf.researchr.org/profile/icsa-2024/vasudevaverma}}</ref> He has previously served as [[CEO]] of the IIIT Hyderabad Foundation, which runs one of the largest technology incubators in India, and the Dean (Research & Development), IIIT-H.<ref>{{Cite web |title=Faculty Page |url=https://www.iiit.ac.in/faculty/vasudeva-varma/}}</ref>
== Education ==
Vasudeva Varma completed his [[M.C.A]] (Master's in Computer Applications) at [[Goa University]], India, from 1987 to 1991. He then pursued [[Ph.D]] in [[Computer Science]] at the [[University of Hyderabad]], India, from 1993 to 1996.

==Research & Publications==
Prof. Varma has over 300 publications which have been cited over 4800 times. In 2020, he received Google India’s Research Award for his works in the area of [[Artificial Intelligence]] for Social Good (AI4SG). He published a book on [[Software Architecture]] (Pearson Education) and close to two hundred technical papers in journals and conferences. In 2004, he obtained young scientist award and grant from Department of Science and Technology, Government of India, for his proposal on personalized search engines. In 2007, he was given Research Faculty Award by AOL Labs.<ref>{{Cite web |title=publications |url=https://iiit.ac.in/publications/~vv}}</ref>

# Leveraging Generative AI for Architecture Knowledge Management in 2024.<ref>{{Cite web |title=Leveraging Generative AI for Architecture Knowledge Management |url=https://ieeexplore.ieee.org/document/10628192}}</ref>
# Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study in 2024.<ref>{{Cite web |title=Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study |url=https://ieeexplore.ieee.org/document/10592785}}</ref>
# Mvae: Multimodal variational autoencoder for fake news detection in 2019.<ref>{{Cite web |title=Mvae: Multimodal variational autoencoder for fake news detection |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9OFvbfcAAAAJ&citation_for_view=9OFvbfcAAAAJ:iHNVki4A1WcC}}</ref>
# Deep learning for hate speech detection in tweets in 2017.<ref>{{Cite web |title=The news minute article |url=https://www.thenewsminute.com/atom/tired-racist-sexist-comments-twitter-these-iiit-hyderabad-researchers-have-answer-61030}}</ref> <ref>{{Cite web |title=Deep learning for hate speech detection in tweets |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9OFvbfcAAAAJ&citation_for_view=9OFvbfcAAAAJ:czIYXmO0riYC}}</ref> 
# Towards sub-word level compositions for sentiment analysis of Hindi - English code mixed text in 2016.<ref>{{Cite web |title=Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9OFvbfcAAAAJ&citation_for_view=9OFvbfcAAAAJ:YifW7xAlWS4C}}</ref> 
# Stereotypical bias removal for hate speech detection task using knowledge-based generalizations in 2019.<ref>{{Cite web |title=Stereotypical bias removal for hate speech detection task using knowledge-based generalizations |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9OFvbfcAAAAJ&citation_for_view=9OFvbfcAAAAJ:MwdXMY9cq6YC}}</ref> 
# Attention-based neural text segmentation in 2018.<ref>{{Cite web |title=Attention-based neural text segmentation |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9OFvbfcAAAAJ&citation_for_view=9OFvbfcAAAAJ:VdWZULf8Gq0C}}</ref> 
# Multi-label categorization of accounts of sexism using a neural framework in 2019.<ref>{{Cite web |title=Multi-label categorization of accounts of sexism using a neural framework |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9OFvbfcAAAAJ&citation_for_view=9OFvbfcAAAAJ:IqrShC7OVU0C}}</ref> 
# Identifying clickbait: A multi-strategy approach using neural networks in 2018.<ref>{{Cite web |title=Identifying clickbait: A multi-strategy approach using neural networks |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9OFvbfcAAAAJ&citation_for_view=9OFvbfcAAAAJ:cNepPnSnVCgC}}</ref> 
# Scientific article recommendation by using distributed representations of text and graph in 2017.<ref>{{Cite web |title=Scientific article recommendation by using distributed representations of text and graph |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9OFvbfcAAAAJ&citation_for_view=9OFvbfcAAAAJ:QUYzkoTeugQC}}</ref> 

== References ==

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