Abdullah Gül University (AGU) aims to be a research-oriented university with state-of –the-art facilities designed for multi-disciplinary research and graduate studies. AGU faculty with full experience in national and international research projects will produce benefits for all stakeholders. AGU pays special attention to building relationships with industry in order to establish efficient collaboration for qualified R&D projects.
The Electrical and Computer Engineering Department’s MSc and PhD Programs at AGU emphasizes advanced graduate education for cutting-edge research. Our research focuses on current high-growth fields like optics, photonics, nanotechnology, biomedical and bioinformatics, information and communications technology, power systems engineering, energy, control and automation.
All graduate students are encouraged to participate in funded research projects where they are supported as full-time research assistants. Research projects are funded by TUBITAK, BAP, EU Framework Programs and industry. Applicants are strongly encouraged to apply for TUBITAK 2211 and TUBITAK 2215 scholarships. Internal funded scholarships will also be available for highly qualified candidates.
We believe that Electrical and Computer Engineering (ECE) MSc and PhD program at AGU will build its reputation based on the quality of its faculty members and graduate students. Bright, motivated and ambitious graduate students with renowned professors in their field will help to develop one of the best ECE programs.
Come and join us to build up a successful career at AGU!
Research Topics:
Optics, Photonics and Nanotechnology
• Micro and nanophotonic device and technologies
• Light detection and ranging – LIDAR
• Microwave photonics
• Laser system design
• Optical communication
• Metamaterials, plasmonics, photonic crystals
• Graphene and similar 2D crystal based nanophotonic devices
• Plasmonic biosensors and super absorbers for energy harvesting
• Semiconductor nanocrystal quantum dots, metal nanoparticles, nanocomposites
• Flexible and stretchable electronics
• Excitonic- plasmonic nanostructures for light harvesting
• Novel optoelectronic devices
• Control methods in quantum models
• Manipulation with quantum objects
Biomedical and Bioinformatics
• Biomedical instrumentation
• Neural engineering
• Cardiovascular engineering
• Machine learning
• Computational biology
• Artificial intelligence
• Bio-MEMS
• Biomedical signal processing and pattern recognition
• Bioinformatics
• Biosensors
• Quantitative EEG
• Brain dynamics
Information and Communications Technology
• Wireless and mobile communication
• Cloud computing
• Computer networks
• Optical communication and optical networks
• Radio over Fiber (RoF)
• Communication in smart electronic systems
• Wireless sensor networks
• Underwater and underground communication networks
• Chaos and cryptography
Energy, Power Electronics, Control and Automation
• Electricity generation by wind energy and alternative energy sources
• Energy storage systems and controls
• Electric and hybrid electric vehicles
• Control theory and its applications
• Online fault diagnosis
• Nuclear energy technologies
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