Ankana Singha is a researcher at the University of South-Eastern Norway working at the intersection of quantum computing, optimization, and energy systems. She is currently working within the Interreg North Sea BRAVE project, where she supports the development of regional clean-energy ecosystems and scalable renewable-energy integration.
Another aspect of her research focuses on applying quantum and quantum-inspired methods to complex power-system planning and computational optimization problems.
Her background combines physics, applied computer science, and scientific computing, with experience in quantum algorithms, mathematical modelling, and machine learning. She works on topics including temporal aggregation, capacity expansion planning, and optimization methods for modern energy systems.
Responsibilities
- Conducting research on advanced electrical power systems, including modeling, analysis, and optimization.
- Applying machine learning, linear programming, and quantum computation for analytics and optimization for modern power systems.
- Collaborating with faculty, industry partners, and research groups to develop innovative solutions for future power systems.
- Contributing to research publications, technical reports, project deliverables, and conference presentations.
Competences
- Numerical Methods
- Operations Research
- Smart Energy Systems
- Quantum Algorithms
- Quantum-Inspired Optimization
- Power-System Optimization
- Machine Learning
- Stochastic Modelling