Editing Rahul Mishra

{{Infobox academic
| name = Rahul  Mishra
| occupation = Prof
| workplaces = IIIT Hyderabad
| education = Ph.D
| discipline = NLP and Deep Neural Networks
}}

== Rahul Mishra ==
'''Dr. Rahul Mishra''' has joined the Language Technologies Research Center (LTRC) as an [[Assistant Professor]] at [[IIIT-H]].<ref>{{Cite web |title=Faculty - LTRC |url=https://ltrc.iiit.ac.in/faculty.php |access-date=2024-10-24 |website=ltrc.iiit.ac.in}}</ref> His research areas are [[Natural Language Processing]], [[representation learning]] and [[information retrieval]].

== Education == 
Rahul graduated B.Tech. in [[Computer Science]] from Dr. A.P.J. Abdul Kalam Technical University ('''AKTU'''), before 2015 known as the Uttar Pradesh Technical University ('''UPTU'''), India in 2010.<ref>{{Citation |title=Dr. A.P.J. Abdul Kalam Technical University |date=2024-09-27 |work=Wikipedia |url=https://en.wikipedia.org/wiki/Dr._A.P.J._Abdul_Kalam_Technical_University |access-date=2024-10-22 |language=en}}</ref> He then joined [[Indraprastha Institute of Information Technology]], Delhi for his [[Master's]] degree in Data Engineering and completed in 2013 with 9.40 grade. From there he obtained his [[Ph.D.]] in [[Computer Science]] with specialization in Natural Language Processing and Deep Neural networks from [[University of Stavanger]],Norway in October 2021.
== Volunteering == 
He has extensive experience in machine learning, information extraction and natural language processing. He is an invited reviewer for various top-notch conferences such as AAAI 2023, CIKM 2021, CoNLL 2021, IJCAI 2020, CoNLL 2020, CIKM 2019, CIKM 2018 and SigKDD 2016 (Applied Data Science Track) and journals such as Expert Systems with Applications, ACM Computing Surveys and IEEE Access.<ref>{{Cite web |title=Dr. Rahul Mishra - |url=https://blogs.iiit.ac.in/monthly_news/dr-rahul-mishra/ |access-date=2024-10-22 |language=en-US}}</ref>

== Publications ==
Rahul has 7 publications 

* "DistilNAS: Neural Architecture Search With Distilled Data," in IEEE Access, Nov 24, 2022.<ref>{{Cite web |date=2024-10-23 |title=IEEE Publications |url=https://ieeexplore.ieee.org/abstract/document/9963961 |website=IEEE Xplore}}</ref>
*POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence, Oct 1, 2021. <ref>{{Cite web |date=2024-10-23 |title=Association for computing machinery Digital Library |url=https://dl.acm.org/doi/abs/10.1145/3459637.3482376 |website=ACM Digital Library}}</ref>
*MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching, Dec 11, 2020. <ref>{{Cite web |date=2024-10-23 |title=IEEE MuSeM |url=https://ieeexplore.ieee.org/document/9356134 |website=IEEE Xplore}}</ref>
*Generating Fact Checking Summaries for Web Claims, Nov 19, 2020.<ref>{{Cite web |title=Generating fact checking.pdf |url=https://aclanthology.org/2020.wnut-1.12.pdf}}</ref>
*Fake News Detection Using Higher-Order User to User Mutual-Attention Progression in Propagation Paths, Jul 14, 2020.<ref>{{Cite web |date=2024-10-23 |title=CVPR 2020 open Access |url=https://openaccess.thecvf.com/content_CVPRW_2020/html/w39/Mishra_Fake_News_Detection_Using_Higher-Order_User_to_User_Mutual-Attention_Progression_CVPRW_2020_paper.html |website=CVPR Virtual}}</ref>
*SADHAN: Hierarchical Attention Networks to Learn Latent Aspect Embeddings for Fake News Detection, Oct 1, 2019.<ref>{{Cite web |date=2024-10-23 |title=ACM Digital Library |url=https://dl.acm.org/doi/10.1145/3341981.3344229 |website=ACM Digital Library}}</ref>
*Mining Peer Code Review System for Computing Effort and Contribution Metrics for Patch Reviewers, Jan 1, 2014.<ref>{{Cite web |date=2024-10-23 |title=IEEE Mining peer review |url=https://ieeexplore.ieee.org/document/6980189 |website=IEEE Xplore}}</ref>


== References ==
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