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15th International Symposium on Health Informatics and Bioinformatics

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Overview of Research Groups & Labs

Overview of Research Groups & Labs




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RESEARCH NEWS

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Ph.D. Thesis
Emrah Akkoyun, Growth Model for Abdominal Aortic Aneurysms Using Longitudinal CT
Images

Developing a tool having the capability of predicting future AAA growth rate is
important in terms of surgical planning and patient management. In this study,
106 CT scan images from 25 Korean AAA patients were retrospectively obtained. 21
geometrical measurements derived from scans, their growth rates, and their
pairwise correlations were analyzed, and the predictability of the growth for
high-risk aneurysms was attempted to enhance. Furthermore, the prediction model
was built specifically on patient characteristics using the various geometrical
measurements enhanced the prediction capability of a measurement at any
time-point, along with an evaluation of the associated uncertainty.

Date: 02.03.2020 / 12:40 Place: Conference Hall-1



M.S. Thesis
Tuğçe Gölgeli, A Case Study on The Effect of Route Characteristics on Decision
Making in the Sport of Orienteering

When choosing a route in orienteering, it is important to combine physical
endurance with mental processes and the ability to adapt to the environment and
optimize them correctly. In this study, the components affecting route selection
were investigated. For this purpose, the data obtained from athletes through GPS
containing watches were examined with quantitative and qualitative research
methods. Then, a model based on spatial data was created to find the shortest
paths and to compare the compatibility with the behaviors of athletes, and the
relation of route selection decisions with some specified cognitive paradigms
was questioned.

Date: 30.01.2020 / 10:00 Place: A-108



M.S. Thesis
Ege Erdem, 3D Perceptual Soundfield Reconstruction via Sound Fieldextrapolation

Perceptual sound field reconstruction (PSR) is a spatial audio recording and
repro-duction method based on the application of stereophonic panning laws in
microphone array design. 

Date: 08.01.2020 Place: SPARG LAB. (Modsimmer Building)



Ph.D. Thesis
Davut Çavdar, Design of a Context Aware Security Model for Preventing Relay
Attacks Using Nfc Enabled Mobile Devices

In this thesis, we offer a context-aware security model extending the role-based
access control model in order to prevent relay attacks in NFC enabled mobile
devices with both theoretical and practical approach. Within this study, we
identify possible vulnerabilities and requirements then design the model.
Parallel to conceptual design, we also developed a complete test-bed to deploy
the model on it. Finally, we verified the model theoretically and practically.

Date: 27.01.2020 / 16:00 Place: Conference Hall-1




M.S. Thesis
Gökçe Abay, Biological Data Integration and Relation Prediction by Matrix
Factorization

In this study, we propose to integrate large-scale gene/protein annotation data
by using non-negative matrix factorization (NMF). Using NMF, the ultimate aim
here is to predict the unknown binary relationships between these biological
entities; and to represent these entities (i.e., proteins, functions and disease
entries) as informative and non-redundant quantitative feature vectors (using
the low-rank feature matrices generated by the factorization process), which can
be used in diverse data mining and machine learning tasks in the future, such as
the automated annotations of proteins or the construction of biological
knowledge graphs.





Date: 30.01.2020 / 15:30 Place: A-212




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