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Adjunct Lecturer

Dr Ashesh Mahidadia

Engineering
Computer Science and Engineering

Dr Ashesh Mahidadia is a Lecturer with the School of Computer Science and Engineering. His research interests include:

  • Artificial Intelligence
  • Intelligent Assisted Systems
  • Machine Learning and Data Mining
  • Knowledge-Based Systems
  • Bioinformatics
Phone
+61 2 9385 6556
E-mail
a.mahidadia@unsw.edu.au
  • Journal articles | 2015
    Krzywicki A; Wobcke W; Kim YS; Cai X; Bain M; Mahidadia A; Compton P, 2015, 'Collaborative Filtering for people-to-people recommendation in online dating: Data analysis and user trial', International Journal of Human-Computer Studies, vol. 76, pp. 50 - 66, http://dx.doi.org/10.1016/j.ijhcs.2014.12.003
    Journal articles | 2014
    Xu H; Martin E; Mahidadia A, 2014, 'Contents and time sensitive document ranking of scientific literature', Journal of Informetrics, vol. 8, pp. 546 - 561, http://dx.doi.org/10.1016/j.joi.2014.04.006
  • Conference Papers | 2022
    Krzywicki A; Mahidadia A; Bain M, 2022, 'Discovering Periodicity in Locally Repeating Patterns', in Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022, IEEE, presented at 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), 13 October 2022 - 16 October 2022, http://dx.doi.org/10.1109/DSAA54385.2022.10032435
    Conference Papers | 2010
    Kim YS; Mahidadia AJ; Compton PJ; Cai X; Bain ME; Krzywicki A; Wobcke W, 2010, 'People Recommendation based on Aggregated Bidirectional Intentions in Social Network Site', in AICI - Lecture Notes in Computer Science, Springer, Germany, pp. 247 - 260, presented at The 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010), Daegu, 31 August 2010 - 03 September 2010, http://dx.doi.org/10.1007/978-3-642-15037-1_21
    Conference Papers | 2010
    Krzywicki A; Wobcke W; Cai X; Mahidadia AJ; Bain ME; Compton PJ; Kim YS, 2010, 'Interaction-based collaborative filtering methods for recommendation in online dating', in Web Information Systems Engineering - WISE 2010, Springer, Germany, pp. 342 - 356, presented at 11th International Conference on Web Information Systems Engineering, WISE 2010, Hong Kong, 12 December 2010 - 14 December 2010, http://dx.doi.org/10.1007/978-3-642-17616-6_31