Gautam Kishore Shahi | Team des Fachgebietes Digital Communication and Transformation

Wissenschaftlicher MitarbeiterGautam Kishore Shahi, M.Sc.

Address : Forsthausweg 2, 47057 Duisburg
Room : LE 312
Telephone : +49 203 379 4237
Mail : gautam.shahi@uni-due.de

 

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Forschungsinteressen

  • Fake news
  • User behaviors 
  • Social Media Analytics
  • Machine learning

Akademischer Werdegang

since 06/2019 PhD student in the Graduate College User-Centered Social Media , Chair for Digital Communication and Transformation with Prof. Dr. Stieglitz, University of Duisburg-Essen, Duisburg
09/2016 - 03/2019 Degree in Computer Science (M. Sc.), DISI , University of Trento, Italy
11/2017 - 02/2018 Exchange Program for Master Thesis, KEDRI , Auckland University of Technology, New Zealand
07/2017 - 10/2017 Research Internship at WEST , University of Koblenz-Landau
08/2011 - 05/2015 Studied Information Technology (BTech), BIT , Sindri, India

Beruflicher Werdegang

06/2015 - 09/2017 Assistant System Engineer, Tata Consultancy Services, India

Auszeichnungen

2018 Nominated for the best student paper award in the 25th International Conference on Neural Information Processing ( ICONIP 2018 ), Siem Reap, Cambodia, Dec 14-16, 2018.
2018 Honorary Mention (2nd Prize) for the Transport Ontology in Vocabulary-Carnival in SEMANTiCS 2018 , The Linked Data Conference 14th International Conference on Semantic Systems, Vienna, Austria, September 10-13, 2018.
2018 Best group work award at WSTNET Web Science Summer School 2018 ( WWSSS'18 ), Hannover, Germany, 30th July to 4th August 2018.

Publikationen

Conference contributions

  • Shahi GK, Nandini D. FakeCovid - A Multilingual Cross-domain Fact Check News Dataset for COVID-19. arXiv preprint arXiv: 2006.11343. 2020 Jun 19.
  • Kishore Shahi G. AMUSED: An Annotation Framework of Multi-modal Social Media Data. arXiv e-prints. 2020 Oct: arXiv-2010.
  • Shahi GK, Stieglitz S. FactCred: Credibility Assessment of Fact-Checking Websites.
  • Shahi GK, Röchert D, Stieglitz S. COVID CT: Analysis and Detection of Different Conspiracy Theories on YouTube in the context of COVID-19.
  • Anna-Katharina Jung, Jennifer Fromm, Kari Anne Røysland, Gautam Kishore Shahi and Kim Henrik Gronert. Case Study of Kristiansand Quran Burning: A Cross-Platform Analysis of Spill-Over Effects
  • Shahi, GK, Capecci E., Nandini D., Kasabov, N., (2018). Analysis, Classification and Marker Discovery of GeneExpression Data with Evolving Spiking Neural Networks ( https://link.springer.com/chapter/10.1007/978-3-030-04221-9_46 ), accepted at 25th International Conference on NeuralInformation Processing (ICONIP 2018), Siem Reap, Cambodia, Dec 14-16, 2018.
  • Nandini D., Capecci E., Shahi GK, Kasabov, N., (2018). Modeling and Analysis of Temporal Gene Expression DataUsing Spiking Neural Networks ( https://link.springer.com/chapter/10.1007/978-3-030-04167-0_52 ), accepted at 25th International Conference on Neural Information Processing (ICONIP 2018) , Siem Reap, Cambodia, Dec 14-16, 2018.
  • Nandini, D. and Shahi, GK (2018). An Ontology for Transportation System ( https://easychair.org/publications/open/8Fls ), Poster Paper at 2nd International Joint Conference on Rules and Reasoning (RuleML + RR 2018), Luxembourg, 18-21 Sep 2018.
  • Shahi, GK, Nandini, D., Kumari S., (2018). Inducing Schema.org markup from Natural Language Context ( https://easychair.org/publications/open/DXGr ), Poster Paper at 2nd International Joint Conference on Rules and Reasoning (RuleML + RR 2018), Luxembourg, 18-21 Sep 2018 .
  • Dutta, B., Nandini, D. and Shahi, GK (2015). MOD: Metadata for Ontology Description and publication ( http://dcpapers.dublincore.org/pubs/article/view/3758/1948 ). In Proceedings of DCMI International Conference on Dublin Core and Metadata Applications (DC-2015), Sao Paulo, Brazil, 1-4 September 2015, pp. 1-9.

Journal Publications

  • Shahi GK, Dirkson A, Majchrzak TA. An exploratory study of covid-19 misinformation on twitter. arXiv preprint arXiv: 2005.05710. 2020 May 12.