Sabbir Ahmed

Research Fellow in Quantum Computing for Energy Systems

College of Science and Engineering

sabbir.ahmed@flinders.edu.au

Tonsley Building

Passionate researcher with expertise in machine learning, data analytics, and optimization, dedicated to innovative solutions for complex systems. Skilled in leveraging technologies like quantum computing to drive efficiency and impactful outcomes through interdisciplinary collaboration.

As a PhD in Information Systems, I excel in teaching, research, and fostering student success. With a proven record of developing engaging course materials and publishing in renowned journals, my work bridges academia and industry, advancing technology and sustainability.

Qualifications

Doctor of Philosophy

UniSA STEM, University of South Australia

Honours, awards and grants

Research Training Program (Commonwealth RTPi)

Summa Cum Laude

Key responsibilities

- Design and implement machine learning models for optimization problems.
- Investigate and apply quantum computing techniques to enhance computational solutions.
- Perform simulations and analyze large-scale datasets for system performance assessment.
- Collaborate with multidisciplinary teams to improve and refine optimization approaches.