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Online seminar within the scope of TUBITAK project entitled "Deep Learning in Image Processing Inverse Problems"

Assoc. Prof. Dr. Behçet Uğur Töreyin, Res. Assistant Kevser Keser and M.S. student Dursun Ali Ekinci of Informatics Institute contribute to this project by conducting research on image super-resolution and model compression.

Open Position - Graduate Research Assistantship Positions

Multiple graduate scholarships are available for TUBITAK 3501 project titled “Modeling and Optimization of Grid-Integrated Energy Systems for the Demand-Side Management of Data Centers”

Intracell Frequency-Band Exiling for Green Wireless Networks: Implementation, Performance Metrics, and Use Cases

Informatics Institute faculty member Prof. Dr. Lütfiye Durak Ata coauthored paper titled 'Intracell Frequency-Band Exiling for Green Wireless Networks: Implementation, Performance Metrics, and Use Cases' has been published in 'IEEE Vehicular Technology Magazine'.

Diffraction of the Electromagnetic Plane Waves by Double Half-Plane with Fractional Boundary Conditions

Informatics Institute faculty members Vasil Tabatadze, Eldar Veliev, Ertugrul Karaçuha, and PhD student Kamil Karaçuha coauthored a paper titled 'Diffraction of the Electromagnetic Plane Waves by Double Half-Plane with Fractional Boundary Conditions' has been published in 'Progress In Electromagnetics Research M'.

FFCASP: A Massively Parallel Crystal Structure Prediction Algorithm

Informatics Institute faculty member Prof. Dr. Adem Tekin and PhD student Samet Demir coauthored a paper titled 'FFCASP: A Massively Parallel Crystal Structure Prediction Algorithm' has been published in 'Journal of Chemical Theory and Computation'.

Crystal Structure Prediction and Dehydrogenation Mechanism of LiMg(BH4)3(NH3)2

Informatics Institute faculty member Prof. Dr. Adem Tekin coauthored paper titled 'Crystal Structure Prediction and Dehydrogenation Mechanism of LiMg(BH4)3(NH3)2' has been published in 'The Journal of Physical Chemistry C'.

2021 – 2022 Fall Semester Postgraduate Admission and Transfer Applications

Information about 2021 – 2022 Fall Semester postgraduate admission and transfer applications.

Cyber security for fog-based smart grid SCADA systems: Solutions and challenges

Informatics Institute faculty member Mehmet Akif Yazıcı coauthored paper titled “Cyber security for fog-based smart grid SCADA systems: Solutions and challenges” has been published in Journal of Information Security and Applications on 2020/6/1.

Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images

Informatics Institute faculty members Prof. Dr. Metin Demiralp and Assoc. Dr. Behçet Uğur Töreyi coauthored paper titled “Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images' has been published in IEEE Transactions on Geoscience and Remote Sensing on 2020/11/16.

Thesis Submission Deadlines

Master's and doctoral thesis submissions must be submitted to the ITU Informatics Institute student affairs by the end of Friday, January 22nd.

2020-2021 Spring Semester Graduate Level Admission and Transfer Applications

Please click here to access the admission conditions, quotas and other application information of the programs that will take students for the 2020-2021 Spring semester.

Doctoral Thesis Proposal / Progress Report Deadline Revision

The deadline for submission of the 2020-2021 Fall semester doctoral thesis proposal and thesis progress reports to the Informatics Institute, has been postponed to January 31, 2021.

Service-Based Coverage for Physical Layer Security with Multi-Point Coordinated Beamforming

Informatics Institute faculty member Mehmet Akif Yazıcı coauthored paper titled 'Service-Based Coverage for Physical Layer Security with Multi-Point Coordinated Beamforming' has been published in 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) on 2020/9/14.

Modeling and Prediction of the Covid-19 Cases With Deep Assessment Methodology and Fractional Calculus

Informatics Institute faculty members Prof. Dr. Ertuğrul Karaçuha, Assoc. Prof. Dr. Vasil Tabatadze and their students Nisa Özge Önal, Esra Ergün, and Kamil Karaçuha coauthored article titled 'Modeling and Prediction of the Covid-19 Cases With Deep Assessment Methodology and Fractional Calculus' was published in the 'IEEE Access' on 2020/9/4.

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