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PhD - Control Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Random-Forest-Q-Learning-for-Feedback-Stabilization-of-Probabilistic-Boolean-Control-Networks
May 14, 2021 – May 14, 2021
Random-Forest-Q-Learning-for-Feedback-Stabilization-of-Probabilistic-Boolean-Control-Networks — GitHub repository
View ProjectAperiodic-Sampled-Data-Stabilization-of-Probabilistic-Boolean-Control-Networks
November 14, 2020 – November 28, 2020
Aperiodic-Sampled-Data-Stabilization-of-Probabilistic-Boolean-Control-Networks — GitHub repository
View ProjectSelf-triggered-Control-of-Probabilistic-Boolean-Control-Networks-A-Reinforcement-Learning-Approach
February 25, 2020 – May 3, 2022
Self-triggered-Control-of-Probabilistic-Boolean-Control-Networks-A-Reinforcement-Learning-Approach — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects align directly with the 'Control Systems Engineer' target role, indicating a strong interest and potential fit for a research-oriented or specialized control systems team. The projects focus on advanced topics like Probabilistic Boolean Control Networks and Reinforcement Learning, suggesting a proactive and self-driven learning approach.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.