Sepehr Karimi Arpanahi

Sepehr Karimi Arpanahi

Higher Degree by Research Candidate

School of Electrical and Mechanical Engineering

Faculty of Sciences, Engineering and Technology

I am an ML/AI researcher currently pursuing my PhD at the University of Adelaide under the supervision of Dr. Ali Pourmousavi. My research focuses on developing unified, data-driven approaches for electricity price forecasting and battery energy storage system (BESS) operation in the Australian National Electricity Market (NEM). I aim to bridge predictive modeling with optimal decision-making by integrating advanced ML methods, optimization frameworks, and real-world energy market dynamics.

  • Education
    Date Institution name Country Title
    2025 University of Adelaide Australia PhD
    2021 - 2024 University of Tehran Iran M.Sc. in Computer Engineering
    2016 - 2021 Amirkabir University of Technology Iran B.Sc. in Electrical Engineering

  • Conference Papers
    Year Citation
    2025 Morovati, T., Vaezi, H., Karimi, S., Mahmud, M., Crook-Rumsey, M., Heym, N., . . . Sumich, A. (2025). Deep Learning Approaches in EEG Analysis for Early Detection of Alzheimer’s Disease and Mild Cognitive Impairment: A Mini Systematic Review. In Communications in Computer and Information Science Vol. 2607 CCIS (pp. 63-81). Springer Nature Switzerland.
    DOI

  • Preprint
    Year Citation
    2025 Taherinezhad, F., Momeni Nezhad, M. J., Karimi, S., Rashidi, S., Zolnour, A., Dadkhah, M., . . . Zolnoori, M. (2025). Speech-Based Cognitive Screening: A Systematic Evaluation of LLM Adaptation Strategies (Preprint).
    DOI
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