about
I am a dedicated Ph.D. candidate at ITMO University, specializing in nonlinear control theory, distributed systems, and machine learning. With a strong academic background and hands-on experience in both industry and research, I am passionate about developing intelligent systems that solve complex real-world problems.
My journey has taken me from automation engineering in large-scale industrial projects to pioneering research in multi-agent systems and adaptive control, always driven by a passion for learning and teaching.
experience
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Instrumentation and Automation Systems Designer / WISDRI Engineering & Research
2023 - 2024- Designed and commissioned converter and high-speed wire instrumentation automation systems.
- Responsible for PLC programming, system design, and on-site installation guidance.
- Acted as a key contact for Russian clients, facilitating communication and project requirements.
- Successfully participated in the upgrade project for Yuxi Steel Group's production line.
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Research Assistant / Russian Academy of Sciences
2022 - Present- Developing cooperative control algorithms for complex network and distributed systems under measurement noise and internal disturbances.
- Assisting with teaching duties for master's students, participating in academic seminars, and peer-reviewing internal papers.
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Technical Lead / Startup International Logistics Team
2022 - 2023- Led the full-stack development and maintenance of a logistics website.
- Grew the platform to over 1000 registered users.
PROJECTS
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Distributed Learning, Optimization, and Control for Large-Scale Intelligent Systems
2023 - 2025- Supported by the Russian Science Foundation.
- Developed cooperative control algorithms for high-order multi-agent systems, ensuring performance under uncertainty and disturbances.
- Authored two core Russian journal papers based on the project's research.
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Adaptive Sensorless Control of Synchronous Electric Drives
2020 - 2022- Designed adaptive tracking control laws for linear time-varying systems with matched external disturbances.
- Utilized a dynamic extension algorithm to improve the convergence speed of estimated parameters.
- Authored a core Russian journal paper on the research findings.
education
Ph.D. in System Analysis, Control, and Information Processing / ITMO University
2023 - 2026 (Expected)
M.S. in Digital Control Systems / ITMO University
2020 - 2023
B.S. in Automation / Changchun University
2016 - 2020
technical
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Core Interests:
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Software & Tools:
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Programming: