Research
Energy & Fuels
Within EMPEDSCON, interdisciplinary research is conducted on sustainable energy technologies, energy conversion systems, and energy management infrastructures. The research encompasses theoretical and experimental studies on the integration of renewable energy sources into electrical energy systems, energy efficiency applications, energy storage technologies, and intelligent energy management methods.
Research activities are particularly focused on:
- Solar and wind energy systems,
- Microgrids and smart grid applications,
- Energy storage systems and battery technologies,
- Electric vehicle energy infrastructures,
- Power electronics-based energy conversion systems,
- Energy management and optimization systems,
- Sustainable energy applications and green energy technologies.
Engineering Electrical & Electronic
The research group conducts studies on electrical machines, power electronics systems, energy conversion technologies, intelligent energy infrastructures, and real-time control applications. The research encompasses theoretical and experimental studies on high-efficiency power electronics converters, motor drive systems, intelligent inverter structures, grid-connected energy systems, data-driven control methods, and artificial intelligence-supported engineering applications.
Research activities cover:
- Power electronics converter systems,
- DC-DC, AC-DC, AC-AC and DC-AC converter topologies,
- Grid-connected inverter systems,
- Electrical machines and motor drive systems,
- DSP-based real-time control systems,
- Power quality and energy efficiency applications,
- Electric vehicle charging systems,
- Intelligent inverter and energy conversion technologies,
- Artificial intelligence-supported energy and control applications,
- Machine learning and data-driven engineering applications,
- Smart grid and energy management systems,
- High-efficiency energy conversion systems.
Engineering Manufacturing
The studies conducted within EMPEDSCON cover engineering design, experimental validation, prototype development, and implementation processes. The laboratory infrastructure provides a research environment for the design, development, and testing of power electronics circuits, embedded systems, control boards, and energy systems.
In this context, studies are carried out on:
- Power electronics circuit design and fabrication,
- Embedded system development studies,
- Real-time experimental test infrastructures,
- Intelligent control boards and drive systems,
- Industrial prototype development studies,
- Hardware validation and system testing processes,
- Industrial R&D applications.
Robotics
Within the research group, studies are conducted on robotic systems, intelligent motion control, autonomous system technologies, and sensor-based decision mechanisms. Artificial intelligence-supported control structures are integrated with real-time embedded system applications within the scope of these studies.
Research activities are focused on:
- Autonomous systems and robotic applications,
- Sensor-based monitoring and control systems,
- Motion control systems,
- Artificial intelligence-supported decision mechanisms,
- Embedded system-based robotic applications,
- Industrial automation and robotic solutions,
- Real-time control and data processing systems.
Transportation Science & Technology
Within EMPEDSCON, research is conducted on electric transportation technologies, energy infrastructures, and intelligent transportation systems. The research is particularly focused on electric vehicle energy systems, motor drive applications, and energy efficiency-oriented transportation technologies.
Within the scope of these studies, research is carried out on:
- Electric vehicle motor drive systems,
- Electric vehicle fast charging systems,
- Battery management systems and energy storage technologies,
- Power electronics-based transportation applications,
- Intelligent transportation and energy management systems,
- Electric transportation infrastructures,
- Energy-efficient drive and control systems.
Automation & Control Systems
Research activities are focused on control theory, digital control systems, intelligent automation technologies, data-driven control methods, and industrial control infrastructures. Within the scope of these studies, artificial intelligence, machine learning, deep learning, and data analytics methods are integrated with energy and industrial applications.
Research activities are particularly focused on:
- Control theory and advanced control algorithms,
- Digital control systems,
- Real-time control applications,
- Artificial intelligence-supported control systems,
- Machine learning and deep learning applications,
- Industrial automation systems,
- Data-driven control and decision mechanisms,
- Intelligent energy systems control,
- Embedded systems and DSP-based applications,
- Cybersecurity solutions for industrial control systems.