Tetiana Bogodorova

Tetiana Bogodorova is a Senior Research Scientist in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI). Her research focuses on modeling, data science, and artificial intelligence for power systems and complex systems, with expertise in system identification and control. She holds a B.Sc. and M.Sc. from Igor Sikorsky Kyiv Polytechnic Institute and a Ph.D. in Electrical Engineering from KTH Royal Institute of Technology. Notable awards include the Program of Excellence Award from KTH's Doctoral Program in Electrical Engineering.

Dr. Bogodorova's academic roles include serving as a docent (Associate Professor) at the Ukrainian Catholic University's Department of Computer Science and Information Technology. She also has industry experience as a System Analyst at NetCracker Technology Corp. and a Data Scientist at ABM Cloud. Her work emphasizes interdisciplinary approaches, particularly leveraging Modelica for multi-domain simulations in power systems, microgrids, and energy systems.

Her research portfolio includes developing open-source tools like OpenIPSL, ModelicaGridData, and OpenIMDML, which address challenges in power system stability, renewable integration, and data-driven modeling. These tools combine machine learning techniques with traditional engineering methods to enhance predictive accuracy and system resilience.

• Key Research Themes: Renewable energy modeling, deep learning for grid stability, microgrid control, and Modelica-based multi-domain simulation frameworks.
• Awards: Program of Excellence Award (KTH, 2017).
• Industry Collaboration: Experience in system analysis and data science roles, bridging academic research with real-world applications.