Ayesha Ubaid

Employment

• University of Technology Sydney Lecturer
  2023 - Present
• University of Technology Sydney Research Associate
  2021 - 2023
• Tricentis Machine Learning Researcher
  2021 - 2021
• Mizzen Group Project Intern
  2019 - 2019
• University of Technology,Sydney Visiting Assistant Professor
  2018 - Present
• University Of Technology Sydney

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Volatility-aware sample re-weighting framework for short-term photovoltaic power forecasting
  Information Processing & Management 2026 4 citations DOI: 10.1016/j.ipm.2026.104612
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• A complementary time-frequency domain approach for short-term photovoltaic power forecasting
  Journal of Supercomputing 2025 3 citations DOI: 10.1007/s11227-025-07654-4
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• SMART Restaurant ReCommender: A Context-Aware Restaurant Recommendation Engine
  AI (Switzerland) 2025 2 citations DOI: 10.3390/ai6040064
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• SW Forecaster:An Intelligent Data-Driven Approach for Water Usage Demand Forecasting
  Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom 2024 0 citations DOI: 10.1109/CloudCom62794.2024.00016
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• Blockchain-based micro-credentialing system in higher education institutions: Systematic literature review
  Knowledge-Based Systems 2023 116 citations DOI: 10.1016/j.knosys.2022.110238
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• Container Shipment Demand Forecasting in the Australian Shipping Industry: A Case Study of Asia–Oceania Trade Lane
  Journal of Marine Science and Engineering 2021 14 citations DOI: 10.3390/jmse9090968
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• Machine Learning-Based Regression Models for Price Prediction in the Australian Container Shipping Industry: Case Study of Asia-Oceania Trade Lane
  Advances in Intelligent Systems and Computing 2020 8 citations DOI: 10.1007/978-3-030-44041-1_5
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• Framework for Feature Selection in Health Assessment Systems
  Advances in Intelligent Systems and Computing 2020 0 citations DOI: 10.1007/978-3-030-15032-7_27
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• Machine Learning-Based Regression Models for Price Prediction in the Australian Container Shipping Industry: Case Study of Asia-Oceania Trade Lane
  International Conference on Advanced Information Networking and Applications 2020 2020
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• Modeling Shipment Spot Pricing in the Australian Container Shipping Industry: Case of ASIA-OCEANIA trade lane.
  Knowledge-Based Systems 2020 9 citations DOI: 10.1016/j.knosys.2020.106483
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