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Ms Rizka Purwanto

Ms Rizka Purwanto

Adjunct Associate Lecturer
UNSW Canberra
School of Eng & Tech

Rizka is currently anÌýAdjunct Associate LecturerÌý²¹³ÙÌýUniversity of New South Wales ²¹²Ô»åÌý²¹²ÔÌýÌýwithÌýMonash University, Indonesia. Prior to this role, she was a postdoctoral researcher at 91³ÉÈ˰涶ÒôSpace, with past experiences working as a software engineer in Australia and Indonesia.

Her research interests are mainly in theÌýapplication of artificial intelligenceÌýin various areas. Her current research interests includeÌýscams and phishing attacks, specifically on improvingÌýcybersecurity awareness, and developingÌýAI based methodsÌýthat could automatically help detect phishing attacks and scams. Besides AI for cybersecurity, she is also currently working in the area ofÌýAI for space, particularly on the use of federated learning on miniaturised satellite constellations, andÌýspace object characterisationÌýusingÌýlightcurve dataÌýwithÌýdeep learning.

Rizka received theÌýbachelor’s degreeÌýinÌýelectrical engineeringÌýfromÌýInstitut Teknologi Bandung (ITB), Indonesia, in 2013, and theÌýmaster’s degreeÌýfrom theÌýUniversity of New South Wales (UNSW)Ìýin 2018, concentrating on artificial intelligence and internetworking. She completed herÌýPhDÌýin 2022, from theÌýSchool of Computer Science and EngineeringÌý²¹³ÙÌýUNSW. Her PhD was funded by the University International Postgraduate Award (UIPA) and Cyber Security Cooperative Research Centre scholarships.

Ìý

  • Journal articles | 2022
    Alibasa MJ; Purwanto RW; Priyadi Y; Riskiana RR, 2022, 'Towards Generating Unit Test Codes Using Generative Adversarial Networks', Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 6, pp. 305 - 314,
    Journal articles | 2022
    Alibasa MJ; Purwanto RW; Yacef K; Glozier N; Calvo RA, 2022, 'Doing and Feeling: Relationships Between Moods, Productivity and Task-Switching', IEEE Transactions on Affective Computing, 13, pp. 1140 - 1154,
    Journal articles | 2022
    Purwanto RW; Pal A; Blair A; Jha S, 2022, 'PhishSim: Aiding Phishing Website Detection With a Feature-Free Tool', IEEE Transactions on Information Forensics and Security, 17, pp. 1497 - 1512,
    Journal articles | 2021
    Purwanto R; Pal A; Blair A; Jha S, 2021, 'Man versus Machine: AutoML and Human Experts' Role in Phishing Detection', ,
  • Conference Papers | 2024
    Imaduddin ; Purwanto RW; Afrianto WF; Butar IB; Putranto A, 2024, 'AI - Driven Prediction of EV Charging Station Load Demand in Indonesia: A Machine Learning Approach', in 2024 International Conference on Technology and Policy in Energy and Electric Power (ICTPEP), IEEE, pp. 106 - 111, presented at 2024 International Conference on Technology and Policy in Energy and Electric Power (ICTPEP), 03 September 2024 - 05 September 2024,
    Preprints | 2024
    Suleiman B; Alibasa MJ; Purwanto RW; Jeffries L; Anaissi A; Song J, 2024, Optimisation of federated learning settings under statistical heterogeneity variations, ,
    Conference Papers | 2022
    Brown M; Boyce R; Peters E; Gehly S; Boland S; Jeffreson R; Kremor A; Bateman T; Capon C; Smith B; Bowden G; Glina L; Qiao LL; Balage S; Gupta K; Purwanto R; Bessell T; Reddell T; Bennett J; Lachut M; McLaughlin T; Lambert A, 2022, 'Formation Flying and Change Detection for the 91³ÉÈ˰涶ÒôSpace ‘M2’ Low Earth Orbit Formation Flying CubeSat Mission', in AMOS 2022 Proceedings, Hawaii, presented at Advanced Maui Optical and Space Surveillance Technologies Conference, Hawaii, 19 September 2022 - 22 September 2022,
    Preprints | 2022
    Purwanto R; Pal A; Blair A; Jha S, 2022, PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool, ,
    Preprints | 2021
    Purwanto R; Pal A; Blair A; Jha S, 2021, Man versus Machine: AutoML and Human Experts' Role in Phishing Detection, ,
    Preprints | 2020
    Purwanto R; Pal A; Blair A; Jha S, 2020, PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites, ,
    Conference Papers | 2020
    Purwanto R; Paly A; Blair A; Jha S, 2020, 'PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites', in 2020 IEEE Conference on Communications and Network Security, CNS 2020,