PhD Candidate in Industrial Engineering & Management | AI/ML Researcher | Machine Learning Engineer
PhD candidate at Oklahoma State University specializing in AI/ML, incremental learning, and cybersecurity for smart manufacturing applications. Research focuses on developing novel machine learning approaches for additive manufacturing process monitoring and cyber-physical security. Strong interdisciplinary background spanning industrial engineering, embedded systems, and mechanical design with 7**+ peer-reviewed publications** and multiple conference presentations.
📍 Stillwater, OK, USA
🔗 linkedin.com/in/boris-oskolkov
Graduate Research Assistant Oklahoma State University → Aug 2022 - Present • Integrated blockchain in ML online monitoring system for additive manufacturing, improving system security • Designed and conducted 5+ in-situ additive manufacturing experiments using scikit-learn and PyTorch, achieving 10% accuracy increase • Mapped SQL data in pipe inspection project using language context identification, reducing manual inspection time by 50% • Set up wireless multi-sensor data collection system for additive manufacturing
Embedded Software Engineer Artes Electronics Pte. Ltd., Russia → Aug 2021 - Aug 2022 • Developed embedded C/C++ software for 32-bit microcontrollers (ARM Cortex-M, ESP32) • Revised and optimized digital circuit schematics • Managed code repositories using Git and developed test cases using Python scripts
Lead Electrical Engineer Zaslon JSC, Russia → Nov 2019 - Aug 2021 • Engineered analog and digital circuits and created PCB layouts using Altium Designer • Programmed and debugged low-level software for PIC microcontrollers in assembly language • Supervised production flow onsite, collaborating with manufacturing teams
Lead Mechanical Engineer Zaslon JSC, Russia → Oct 2018 - Nov 2019 • Led team of three mechanical engineers developing products for extreme environments • Designed CAD models and production blueprints • Collaborated with cross-functional teams to streamline production
Process Engineer New Industrial Technologies Ltd., Russia → Jun 2017 - Jun 2018 • Established engine assembly workshop, improving operational efficiency • Implemented new technologies that enhanced production processes and reduced costs • Calculated labor costs and monitored equipment operations
PhD in Industrial Engineering and Management Oklahoma State University, USA → Aug 2022 - Dec 2026 (tentative) GPA: 4.0/4.0 Research focus: Incremental learning, blockchain integration, additive manufacturing process monitoring
MSc in Instrumentation Engineering, Honors Saint-Petersburg State University of Aerospace Instrumentation, Russia → Sept 2016 - Jun 2018 GPA: 4.0/4.0
BSc in Instrumentation Engineering, Honors Saint-Petersburg State University of Aerospace Instrumentation, Russia → Sept 2012 - Jun 2016 GPA: 3.88/4.0
| Languages | Python, MATLAB, R, C/C++, Solidity |
|---|---|
| Expertise | Machine Learning, Deep Learning, Incremental (continual) learning, Regression Analysis, Time Series Analysis, Anomaly Detection, Electrical Engineering, CAD, Prototyping |
| Software | PyTorch, Keras, TensorFlow, SciKit-Learn, Numpy, Pandas, Git, Docker, MySQL |
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7+ peer-reviewed publications in journals and conferences including: