Sepehr Karimi Arpanahi

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

Connect With Me

External Profiles

Other Links