Diksha Goel

Ms Diksha Goel

Higher Degree by Research Candidate

PhD Student

School of Computer Science

Faculty of Sciences, Engineering and Technology

My research interests include but are not limited to Mining Network Data, Algorithm Design and Deep Learning.

  • Language Competencies

    Language Competency
    English Can read, write, speak, understand spoken and peer review
    Hindi Can read, write, speak, understand spoken and peer review
    Panjabi; Punjabi Can speak and understand spoken
  • Education

    Date Institution name Country Title
    2016 - 2018 National Institute of Technology, Kurukshetra India M.Tech in Computer Science
    2011 - 2015 University Institute of Engineering and Technology India B.Tech in Computer Science
  • Research Interests

  • Journals

    Year Citation
    2021 Joshi, D., Mishra, V., Srivastav, H., & Goel, D. (2021). Progressive Transfer Learning Approach for Identifying the Leaf Type by Optimizing Network Parameters. Neural Processing Letters, 53(5), 3653-3676.
    2020 Jain, A. K., Goel, D., Agarwal, S., Singh, Y., & Bajaj, G. (2020). Predicting Spam Messages Using Back Propagation Neural Network. Wireless Personal Communications, 110(1), 403-422.
    DOI Scopus8 WoS4
    2018 Goel, D., & Jain, A. K. (2018). Mobile phishing attacks and defence mechanisms: State of art and open research challenges. Computers & Security, 73, 519-544.
  • Conference Papers

    Year Citation
    2021 Goel, D., Shen, H., Tian, H., & Guo, M. (2021). Maintenance of Structural Hole Spanners in Dynamic Networks. In 2021 IEEE 46th Conference on Local Computer Networks (LCN) Vol. 2021-October (pp. 339-342). online: IEEE.
  • Position: PhD Student
  • Email: diksha.goel@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor 5
  • Org Unit: Research Scholars (Positions)

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External Profiles