Cybersecurity Orientation Meeting

Dear Students,

In the 2023-2024 Academic Year Fall Term,our introduction and information meeting with our students who have been accepted to the Cyber Security program will be held face to face on September 27, 2023 at 10:00 at Conference-2 (II-06 Classroom) in Informatics Institute.

We congratulate our students who have been accepted to the program and wish them success.

Announcement Category

Medical Informatics and Bioinformatics Programs Orientation Meeting

Dear Students,

In the 2023-2024 Academic Year Fall Term, an introduction and information meeting will be held on 27.09.2023 at 10:00 at Room II-02, with our students who have newly registered and will enroll in the Medical Informatics and Bioinformatics Graduate programs. 

We congratulate our students who have been accepted to the program and wish them success.

Announcement Category

Information Systems Orientation Meeting

Dear Students,

In the 2023-2024 Academic Year Fall Term, an introduction and information meeting will be held on 27.09.2023 at 10:00-11:00 at Neşe Yalabık Conference Hall, with our students who have newly registered and will enroll in the Information Systems Graduate programs. We congratulate our students who have been accepted to the program and wish them success.

Announcement Category

Burak Demiralay, Efficient Primer Design for Genotype and Subtype Detection of Highly Divergent Viruses in Large Scale Genome Datasets

We developed an efficient and scalable method for identification of signature sequences that can handle thousands of whole genomes for organisms with high mutation rates and genetic diversity. Thermodynamics is the main driving force in our method, which is tested on three highly divergent viruses. The oligonucleotides found can identify 99.9% of 1657 HCV genomes, 99.7% of 11838 HIV genomes, and 95.4% of 4016 Dengue genomes. We also show subspecies identification on genotypes 1-6 of HCV and genotypes 1-4 of the Dengue virus with >99.5% true positive and <0.05% false positive rate. None of the state-of-the-art methods achieve this performance.

Date: 11.09.2023 / 17:00 Place: A-212

English

Arif Ozan Kızıldağ, Semi-Automatic Prompting Approach with Question Decomposition for Multi-Hop Question Answering

With the help of large language models, prompt engineering enables easy access to vast knowledge for various applications. However, limited research has been done on multi-hop question answering using this approach. This thesis introduces a new semi-automatic prompting method for answering two-hop questions. The method involves creating a prompt with automatically selected examples by grouping answer-named entities from the training set and using a chain-of-thought principle. The results demonstrate comparable performance to fine-tuned models on the MuSiQue dataset. Ablation studies further validate the effectiveness of each component in the proposed method. The approach has the potential to be applied to more complex multi-hop question-answering systems while upholding performance on par with other state-of-the-art techniques.

Date: 07.09.2023/13:00 Place: A-212

English

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