Staff Profile

Ama Asiedu-Asante is an electrical engineer with a background and industrial experience in instrumentation and automation. Her research interests lie in automation, instrumentation, and measurement, particularly as they apply to industrial process control, electrical grid systems, and lithium-ion battery-based energy storage systems. Ama holds a Master of Science in Automation and Control with Distinction from Newcastle University, UK, and a Bachelor of Science in Electrical and Electronic Engineering from the University of Mines and Technology, Ghana. Ama's professional journey includes significant roles such as Assistant Lecturer at the University of Mines and Technology, Ghana, where she taught and supervised numerous undergraduate projects, and Electrical and Instrumentation Supervisor at Forge Group, Ghana, working on the AngloGold Ashanti Obuasi Mine reconstruction project. In her current role as a Research Associate, she is involved in developing testing prototypes for the characterization of a new class of adhesive aimed at supporting a zero-waste manufacturing economy.

Academic Qualification

PhD in Electrical and Electronic Engineering, Newcastle University, 2020 to date (ongoing)

• Research Area: Reflectometry-based degradation detection techniques for Li-ion batteries.

MSc (Distinction) in Automation and Control, Newcastle University, 2016

• Research Area: Cascaded Loop Control of a Three-Phase Grid-Connected PV Inverter System utilising perturb and observe maximum power point tracking algorithm

BSc in Electrical and Electronic Engineering, University of Mines and Technology, 2012

• Research Area: A supervisory control and data acquisition (SCADA) system designed for managing a microgrid in a gold processing plant.

Previous Roles:

Assistant Lecturer, University of Mines and Technology, Ghana, 2017-2020

Electrical and Instrumentation Supervisor, Forge Group Africa, 2013-2015

Research Interest:

• Developing and optimizing PLC and SCADA systems for improving industrial process control and automation.
• Innovating non-invasive instrumentation and measurement techniques for real-time monitoring and diagnostics in industrial environments.
• Applying advanced data analysis techniques to enhance process optimization and fault detection in industrial systems.
• Developing and refining State of Health (SoH) monitoring and diagnostics techniques for lithium-ion batteries. 

• Articles

  • Asiedu-Asante AB, Pickert V, Mamlouk M, Tsimenidis C. Evaluating Frequency Domain Reflectometry as a Tool for Lithium-Ion Battery Health Prognosis. Batteries 2024, 10(6), 185.
  • Lema M, Pavon W, Ortiz L, Asiedu-Asante AB, Simani S. Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability. Energies 2022, 15(15), 5442.
  • Asiedu-Asante, AB, Ofosu, RA. Cascaded Loop Control of a Three-Phase Grid-Connected PV Inverter System. Ghana Journal of Technology 2020, 5(1), 40-53.
  • Asiedu-Asante, AB, Normanyo, E. A Supervisory Control and Data Acquisition Monitoring System for a Plant-Site Power Distribution Network. Ghana Journal of Technology 2020, 5, 21-28.

• Conference Proceedings (inc. Abstracts)

  • Yepez H, Pavon W, Yepez F, Jaramillo D, Barrera-Singana C, Asiedu-Asante AB. Novel Hierarchical Control Strategy for AC Isolated Microgrid System considering Voltage and Power. In: IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT 2022). 2022, New Delhi, India: IEEE.
  • Ofosu, RA, Asiedu-Asante, AB, Biney, AR. Fuzzy Logic Based Condition Monitoring of a 3-Phase Induction Motor. In: 2019 IEEE AFRICON. 2019, Accra, Ghana: IEEE.