Researcher Profiles

Diksha Goel

Higher Degree by Research Candidate

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

My Research
Career
Publications
Contact

My research interests include but are not limited to Cyber Security, Machine Learning, and Graph Data Mining.

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

Computer Communications Networks Knowledge Representation and Machine Learning Pattern Recognition and Data Mining

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. DOI Scopus8 WoS6
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 Scopus18 WoS11
2018	Goel, D., & Jain, A. K. (2018). Mobile phishing attacks and defence mechanisms: State of art and open research challenges. Computers and Security, 73, 519-544. DOI Scopus85 WoS61

Book Chapters

Year Citation
2018 Goel, D., & Jain, A. K. (2018). Overview of Smartphone Security: Attack and Defense Techniques. In Computer and Cyber Security (pp. 249-279). Auerbach Publications.
DOI

Conference Papers

Year	Citation
2023	Goel, D., Shen, H., Tian, H., & Guo, M. (2023). Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks. In Proceedings - 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2022 (pp. 64-71). Online: IEEE. DOI
2023	Goel, D., Neumann, A., Neumann, F., Nguyen, H., & Guo, M. (2023). Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '23) (pp. 1348-1356). New York, NY: Association for Computing Machinery. DOI
2022	Goel, D., Ward-Graham, M. H., Neumann, A., Neumann, F., Nguyen, H., & Guo, M. (2022). Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation. In J. E. Fieldsend, & M. Wagner (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'22) (pp. 1191-1199). New York, NY: Association for Computing Machinery. DOI Scopus3 WoS2
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. DOI Scopus1 WoS1

Email: diksha.goel@adelaide.edu.au

Connect With Me

External Profiles