Hasan Hüseyin Coşgun

•Integrated Siemens S7-1200/1500 PLC systems for SCR-based NOx emission control plants (marine & stationary) via Modbus TCP/RTU and PROFINET. •Deployed Ewon Flexy IIoT gateways for real-time energy data acquisition and remote diagnostics from field devices. •Configured OT network connectivity and validated protocol compatibility for VFDs, sensors and field instrumentation across live industrial environments. •Designed HMI monitoring interfaces (Siemens WinCC).

•Developed Python/SQL data pipelines for industrial performance monitoring and anomaly detection, reducing unplanned downtime through structured, automated analysis. •Built and maintained a centralized high-integrity performance database used as primary reference for maintenance planning and regulatory compliance. •Validated safety-critical electromechanical assemblies against IEC standards; collaborated with I&C, mechanical and QA teams across multidisciplinary projects.

•Engineered complete automation solutions for production lines (Siemens TIA Portal, Beckhoff TwinCAT3): motion control, sequencing, safety interlocks. •Integrated multi-vendor robotic cells (KUKA, Stäubli) with machine vision systems (Cognex, Keyence) and distributed sensor networks. •Implemented functional safety (Pilz PSENgate/PSENopt) per ISO 13849 / EN 62061; authored full system documentation and operator training materials.

•Designed an IoT control panel enabling centralized communication and management of 15+ smart energy devices, early hands-on experience in energy-aware system integration. •Prototyped embedded sensor nodes on STM32 (HAL) and AVR (ATmega328) for wireless data acquisition and transmission. •Developed automated functional test routines for individual sensors and components, verifying correct operation before production entry and reducing hardware defect escape rate.

•Developed custom laboratory instrumentation and precision motion control systems integrating stepper motor drives with embedded control logic. •Designed and built rapid-prototype electronic circuits using STM32 and Raspberry Pi to deliver fast, hardware-level solutions for experimental research challenges under tight timelines. •Conducted experimental process validation and designed test protocols in collaboration with academic research teams.

Thesis: Fault prediction in power transformers using DGA and ARIMA-based time series modeling. Scholarship: Republic of Türkiye – Ministry of Energy and Natural Resources

Bachelor's degree program (Language of instruction: English)