Sepehr Karimi Arpanahi
Higher Degree by Research Candidate
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.
| 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 |
| 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 |
| 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 |