M.Sc. Prashasti Sahu
M.Sc. Prashasti Sahu
wissenschaftliche Mitarbeiterin und DoktorandinMitglied der Forschungsgruppe Netzoptimierung, Planung und Techno-Ökonomie
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Prashasti Sahu is Research Assistant and PhD student at the Chair of Communication Networks at the Technical University of Chemnitz (TUC), Germany. She received her B.Tech. degree in Electronics and Communications Engineering from the Technical University Dr. APJ Abdul Kalam, India, and her M.Sc. degree in Information and Communication Systems from TUC, Germany. She is member of the research group on Network Optimization, Planning and Techno-Economics, investigating and developing mathematical and algorithmic methods for the long-term planning and techno-economic optimization of high-speed transport networks.
- Network Planning: Development of optimization methods for the strategic planning of flexible and low-cost software-defined multilayer networks subject to deep uncertainty. The methods include approaches for life-cycle decision-making in long-term operated networks. Application scenarios include the planning and migration of resilient, sustainable and flexible Metro/Core high-speed optical networks.
- Network Techno-Economics: Development of algorithms for the optimization of the technical and economic efficiency of advanced network architectures and services. The methods investigate the evaluation of Real Options (RO) for the life-cycle adaptation of network designs subject to deep uncertainties in the traffic demands and costs. The developed approaches optimize key performance indicators (KPIs), including QoS objectives and financial metrics such as the Payback Period (PB), the Net Present Value (NPV), the Internal Rate of Return (IRR) and the Return on Investment (ROI) of the network deployment plan.
- Optimization methods: The above-mentioned research areas apply, develop and extend mathematical methods in the domains of Linear Programming (LP), Meta-Heuristics, Deep-Reinforcement Learning (DRL) and Graph Neural Networks (GNNs).
