Fatma Cankara, Prediction of the Effects of Single Amino Acid Variations on Protein Functionality with Structural and Annotation Centric Modeling

Studies showed that single nucleotide variations that alter the protein sequence, structure and function are associated with many diseases in humans. However, the current rate of manually annotating reported nsSNPs cannot catch up with the rate of producing new sequencing data. To aid this process, automated computational approaches are being developed and applied on the unknown data. In this study, we propose a new methodology to collect and organize the information related to the effects of nsSNPs at the amino acid sequence level from various biological databases and to utilize this information in a supervised machine-learning based system to predict the function disrupting capacities of mutations with unknown consequences.

Date: 30.01.2020 / 14:00 Place: A-212

English

Eray Üstün, Acoustic Source Localization Using Quaternion Fourier Transforms with Dırect-Path Dominance Test

M.S. Candidate: Eray Üstün
Program: Multimedia Informatics
Date: 23.01.2020 / 11:00
Place: A-212

Abstract: Acoustic source localization is an important and broadly researched topic since it can be used in robotics, scene analysis and surveillance fields. Acoustic scene analysis can be defined by acoustic pressure and particle velocity. The former one is a scalar value; whereas, the latter one is a vector quantity. Numerous approaches for DOA have been developed using those properties of acoustic waves. There is a 4-dimensional number system, called quaternions, which is an extension of classical complex number system. Quaternions are composed of one scalar component and 3-dimensional vector component. The quaternion Fourier transforms (QFTs) are useful in the sense that they can process components of multi-component signals concurrently. In this thesis, a novel signal model using quaternions is constructed and a novel approach for acoustic source localization are presented. The acoustical sound field is represented by quaternions and it is processed by using QFTs. Direct-path dominance (DPD) test is applied to the result of QFTs and localization task is performed by utilizing geometrical orientation of DOA estimation vectors.

Announcement Category

Thesis defense

Rumeysa Fayetörbay, Network-Based Discovery of Molecular Targeted Agent Treatments in Hepatocellular Carcinoma

Sorafenib is one of FDA approved targeted agents in HCC treatment. PI3K/AKT pathway is altered in 50% of hepatoma, hence understanding how Sorafenib and PI3K/AKT pathway inhibitors act at signalling level is crucial for targeted therapies and to reveal their off-target effects. In this work, we use gene expression profiles of HCC cells treated with seven different drugs/inhibitors and combination. Our aim is to reveal the important targets and modulators in a drug treatment by inferring the dysregulation of Interactome. In other words, we search for the mechanism of action of drugs in a network context beyond gene list.

Date: 13.01.2020 / 14:00 Place: A-108

English

Mustafa Teke, Multi-Year Time Series Crop Mapping

Vector Dynamic Time Warping (VDTW), a novel multi-year classification approach based on warping of angular distances between phenological vectors was developed. The results prove that the proposed VDTW method is robust to temporal and spectral variations compensating for different farming practices, climate and atmospheric effects, and measurement errors between years. We also describe a method for determining the most discriminative time window that allows high classification accuracies with limited data. We carried out tests of our approach with Landsat 8 time-series imagery from years 2013 to 2015 for classification of corn and cotton in the Harran Plain, and corn, cotton, and soybean in the Bismil Plain of Southeastern Turkey. In addition, VDTW was tested with corn and soybean in Kansas, the US for 2017 and 2018 with the Harmonized Landsat Sentinel data.

Date: 15.01.2020 / 14:00 Place: Conference Hall-1

English

Emre Mülazımoğlu, The Role Of Visual Features In Text-Based Captchas: An fNIRS Study for Usable Security

M.S. Candidate: Emre Mülazımoğlu
Program: Cyber Security
Date: 15.01.2020 / 11:00
Place: A-108

Abstract: In order to mitigate dictionary attacks or similar undesirable automated attacks to information systems, developers mostly prefer using CAPTCHA challenges as Human Interactive Proofs (HIPs) to distinguish between human users and scripts. An appropriate use of CAPTCHA requires a setup balance between robustness and usability during the design of a challenge. The previous research reveals that most of the usability studies have used accuracy and response time as measurement criteria for quantitative analysis. The present study aims at applying optical neuroimaging techniques for the analysis of CAPTCHA design. In particular, fNIRS (Functional Near Infrared Spectroscopy) is a neuroimaging technique used for mental workload analysis by means of analyzing hemodynamic responses on brain. The present study reports an experimental investigation in which 25 participants solved a group of text-based CAPTCHA with various visual characteristics.

Announcement Category

Thesis defense

Ülkü Arslan Aydın, A Gaze-Centered Multimodal Approach to Face-To-Face Interaction

Face-to-face conversation implies that interaction should be characterized as an inherently multimodal phenomenon involving both verbal and nonverbal signals. Gaze is a nonverbal cue that plays a key role in achieving social goals during the course of conversation. The purpose of this study is twofold: (i)to examine gaze behavior (i.e., aversion and gaze on face) and relations between gaze and speech in face to face interaction, (ii)to construct computational models to predict gaze behavior using high-level speech features.

Date: 13.01.2020 / 10:30 Place: Conference Hall-1

English

Health Informatics Interview Results

As a result of Interviews for Health Informatics for the 2019-2020 Spring Semester, the names of the students who are accepted to the programs are as follows:

* For our accepted students, there will be an orientation meeting at the interactive registration week. The place and date of the meeting will be anounced later in our web page.

PhD. Admission List

- DAMLA DOKUZOĞLU (Scientific Preparation)

- BURCU KARAKAYA (Scientific Preparation)

Announcement Category

Announcement

Multimedia Informatics Programs Interview Results

As a result of Interviews for Multimedia Informatics Programs for the 2019-2020 Spring Semester, the names of the students who are accepted to the programs are as follows:

* For our accepted students, there will be an orientation meeting at the interactive registration week. The place and date of the meeting will be anounced later in our web page.

PhD Admissions

Name Surname
EGE ERDEM
OĞUZ HANOĞLU

MSc Admissions

Name Surname
MUSTAFA KILINÇ
ELİF HİLAL KORKUT
ÖVGÜ ÖZDEMİR
ABDULLAH MERT TUNÇAY
MEHMET BURAKHAN YILDIZ

Announcement Category

Announcement

Software Management Secondary Education MSc Non-Thesis Program Admission Results

As a result of Academic council decision for Software Management MSc Non-Thesis Program for the 2019-2020 Spring Semester, the names of the students who are accepted to the program are as follows:

Second Phase Compensatory Program Acceptance List 

Surname Name
Alagöz Durali
Ateş Esra
Beyazarslan Alkım
Çınar Enes
Erkal Yiğit
Şahin Rukiye Şerife
Temizöz Kemal Aytuğ
Tüzer Zeynep Özge
Yaman Sercan

Announcement Category

Announcement

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