Rate My Professor Tazdin Amietszajew

Amietszajew's research focuses on experimental battery diagnostics, hybrid thermo-electrochemical sensors, plasmonic fibre optic sensors, AI-enabled thermal monitoring, and impedance-based techniques for lithium-ion cells. He leads contributions to the Horizon Europe ENERGETIC project (2023-2026), developing data-rich digital twin-based Battery Management Systems for enhanced state-of-health prediction and predictive maintenance. Key publications include 'Internal Temperature Estimation for Lithium-ion Batteries Through Distributed Equivalent Circuit Network Model' (Journal of Power Sources, 2024), 'Mechanistic Insights and Technical Challenges in Sulfur-Based Batteries: A Comprehensive In Situ/Operando Monitoring Toolbox' (ACS Energy Letters, 2024), 'AI-enabled thermal monitoring of commercial (PHEV) Li-ion pouch cells with Feature-Adapted Unsupervised Anomaly Detection' (Journal of Power Sources, 2025), 'Development and evaluation of in-situ instrumentation for Li-ion cells' (HardwareX, 2018), and 'Hybrid Thermo-Electrochemical In Situ Instrumentation for Lithium-Ion Energy Storage' (Batteries & Supercaps, 2019). His scholarship has amassed over 1,600 citations and an h-index of 18 (Google Scholar). In 2022, he secured a Faraday Institution Industry Fellowship to collaborate with Breathe Battery Technologies on battery management software validation using bespoke monitoring at the Centre for Advanced Low Carbon Propulsion Systems.