Animesh Kumar

Animesh Kumar, MSc

Zimmer: O 3.09

Tel.: +43 (512) 507 - 73248
Fax: +43 (512) 507 - 73399

E-Mail:  animesh.kumar@uibk.ac.at


 

Akademischer Werdegang:

Animesh Kumar received his Bachelor's degree in Computer Science and Electronic Engineering from the University of Liverpool, UK (2007) and his Master's degree in Information Systems from the University of Innsbruck (2022). In previous capacities, he has worked as an Equities Systems Developer and Economic Researcher in London and New Delhi. He is currently a PhD Candidate at the Institute of Information Systems, Production and Logistics Management, UIBK. His research interests include GANs based Computer Vision models and socio-technical aspects of GenAI such as deepfakes. 

Publikationen

(Hinweis: Verwendung der Publikationen (PDFs) nur für den persönlichen, nicht kommerziellen Gebrauch. Eine weitere Verteilung der PDFs ist nicht gestattet.) 

Publikationen 2024

Beiträge in Büchern / Zeitschriften

Beitrag in Proceedingsband (Full Paper)
  • Kumar, A.; Burtscher, C.; Eckhardt, A. (2024): Cracking Political Deepfakes: An Exploratory Study to Unveil Cues for Detection. Extended Abstract.
    In: Wirtschaftsinformatik 2024 Proceedings. Association for Information Systems (AIS) / AIS Electronic Library (AISeL) (= Proceedings of the Internationale Tagung Wirtschaftsinformatik (WI))., No. 119. (Weblink)

  • Kumar, A.; Burtscher, C.; Eckhardt, A. (2024): Unmasking the Phantom: Discovering Exogenous Cues to Detect Political Deepfake Images.
    In: Proceedings of the International Conference on Information Systems (ICIS 2024). Bangkok - Thailand, December 15-18. Association for Information Systems (AIS) / AIS Electronic Library (AISeL) (= Proceedings of the International Conference on Information Systems (ICIS))., No. 2101. (Weblink)



Publikationen 2022

Beiträge in Büchern / Zeitschriften

Beitrag in Proceedingsband (Abstract)
  • Kumar, A.; Burtscher, C.; Eckhardt, A. (2022): Progenitors and antagonists of shadow IT use: Results of a computational-driven approach using Reddit data.
    In: WISP 2022 Proceedings, Pre-ICIS Workshop on Information Security and Privacy (SIGSEC). Association for Information Systems (AIS) / AIS Electronic Library (AISeL)., No. 14. (Weblink)

 

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