Assanali Aidarkhan

Artificial Intelligence Research Assistant

Nazarbayev University

Research university in Astana, Kazakhstan.

Developed attention-based recurrent models for transformer fault prognosis, reporting 48% and 28% relative absolute error improvements over baseline BiGRU and BiLSTM models.

• Conducted a research Transformer Fault Prognosis Using Multi-Head Self-Attention Mechanism. • Developed MHSA-based BiGRU and BiLSTM frameworks that outperformed the BiGRU and BiLSTM by 48% and 28% in relative absolute error, respectively. • Submitted the obtained results to the International Journal of Electrical Power & Energy Systems.

Research Assistant

Nazarbayev University

Research university in Astana, Kazakhstan.

Evaluated LLMs and built data and model pipelines for research that resulted in a paper at IEEE WFCS 2025.

• Designed and conducted experiments with LLMs by performing prompt engineering, utilizing metrics to evaluate the most feasible models. • Developed the code for data preprocessing, model training, and evaluation pipelines. • Based on the obtained results, published a conference paper to the 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS 2025).

PhD, Electrical Engineering

Nazarbayev University

MSc, Engineering Management

Nazarbayev University

BEng, Radio Engineering, Electronics, and Telecommunications

Eurasian National University