Europe/Podgorica
Introduction
Work Experience
University of Montenegro, Faculty of Electrical Engineering
webpower.me
roofko.me
Education
PhD in Power Systems
MSc in Power Systems
BSc in Power Systems and Automatic Control
Technical Skills
Power Systems Engineering Software
Programming & Development
Machine Learning & AI
Europe/Podgorica
Montenegrin
English

Lazar Šćekić

PhD Student in Power Systems
I am a power systems engineer currently pursuing my PhD and working as a teaching assistant at the University of Montenegro's Faculty of Electrical Engineering. My research focuses on power system stability, application of artificial intelligence in power systems, and power system cybersecurity.

Work Experience

Teaching AssistantUniversity of Montenegro, Faculty of Electrical Engineering
2021 - Present
Teaching undergraduate and graduate courses in power systems engineering to over 100 students annually.
Power Systems Software Engineerwebpower.me
2024 - Present
Securing grant funding and developing codes for power flow, short-circuit, small-signal and transient stability analysis.
Backend Developerroofko.me
2021 - 2024
Securing grant funding and developing the backend infrastructure for an online marketplace of solar energy services.

Education

PhD in Power SystemsUniversity of Montenegro, Faculty of Electrical Engineering
2022 - 2025
Thesis: Wide-Area Damping Control for Mitigating Low-Frequency Inter-Area Oscillations in Interconnected Power Systems
MSc in Power SystemsUniversity of Montenegro, Faculty of Electrical Engineering
2020 - 2022
Thesis: Low-Voltage Distribution Network Hosting Capacity Assessment using Power Flow Methods for Unbalanced Networks
BSc in Power Systems and Automatic ControlUniversity of Montenegro, Faculty of Electrical Engineering
2016 - 2019
Graduated with high honors.

Technical Skills

Power Systems Engineering SoftwarePSS/E, DIgSILENT PowerFactory, NEPLAN, PCM600
Programming & DevelopmentMATLAB/Simulink, Python, Flask, C, C++
Machine Learning & AIMATLAB Deep Learning Toolbox, PyTorch, Scikit-Learn