Gautam Kishore Shahi | Team des Fachgebietes Professionelle Kommunikation in elektronischen Medien / Social Media

Gautam Kishore Shahi, M.Sc.

Anschrift: Forsthausweg 2, 47057 Duisburg

Raum: LE 312

Mail: gautam.shahi@uni-due.de

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Forschungsinteressen

  • Web Science
  • Data Science
  • Social Media Analytics

Akademischer Werdegang

seit 06/2019 Doktorand im Graduiertenkolleg User-Centred Social Media, Lehrstuhl für Professionelle Kommunikation in elektronischen Medien / Social Media bei Prof. Dr. Stieglitz, Universität Duisburg-Essen, Duisburg
09/2016 - 03/2019 Studium Computer Science (M. Sc.), DISI, University of Trento, Italien
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 Studium 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

Konferenzbeiträge

  • Shahi, G. K., 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 G.K., Kasabov, N., (2018). Modelling 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, G. K. (2018). An Ontology for Transportation System (https://easychair.org/publications/open/8Fls), Poster Paper at 2ndInternational Joint Conference on Rules and Reasoning (RuleML+RR 2018), Luxembourg, 18-21 Sep 2018.
  • Shahi, G. K., 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, G.K. (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.