Graduate School of Informatics

Department of Medical Informatics, Medical Informatics and Bioinformatics Graduate Programs 2nd Group Interviews Announcement

Related to the 2019-2020 Fall applications for Medical Informatics (MS/PhD) and Bioinformatics (MS) programs:

Interviews for MS and PhD in Medical Informatics will be held on August 27, 2019.

Second group interviews for MS in Bioinformatics will be held on September 3, 2019.

Candidates listed below are expected to be present at II-06 (Informatics Conference Hall - 2) 15 minutes before of their scheduled time of interview.

DEPARTMENT OF MEDICAL INFORMATICS (MIN)
2019-2020 / 1st TERM APPLICATIONS
2nd GROUP INTERVIEW LIST

SALON NO : CONFERENCE HALL-2 (II-06)

AUGUST 27, 2019

ORDER

NAME

SURNAME

TIME OF INTERVIEW

PROGRAM

SERCAN

ÇADIRCI

09.30

PhD

MUAZZEZ

ÇELEBİ ÇINAR

GİZEM

GÖKTEPE

MERİÇ

KINALI

MELTEM

KUTNU

BURHAN

EYÜBOĞLU

11.00

PINAR CAN

VAROL

REZA

YAHYAEI

MOHAMED

ZEGLAM

DEPARTMENT OF MEDICAL INFORMATICS (MIN)
BIOINFORMATICS (BIN) MS PROGRAM
2019-2020 / 1st TERM APPLICATIONS
2nd GROUP INTERVIEW LIST
SEPTEMBER 3, 2019
SALON NO: CONFERENCE HALL-2 (II-06)

ORDER

NAME

SURNAME

TIME OF INTERVIEW

PROGRAM

DENİZ

AKBULUT

09.30
11.30

Bioinformatics (MS)

BAŞAK

BAHÇİVANCI

HÜSEYİN CAHİT

BURDUROĞLU

FATMA SEMA

CANBAKIŞ ÇEÇEN

KHALED MAZEN MAHMOUD ELSAYED

ELDOWA

ASUMAN

İNAN

METİN

KAPI

AYTEN SENGÜ

TOSUN

NAZIR BİLAL

YAVUZ

ALPER

YURTSEVEN

Should any conflict arise between the Turkish language version of this page and its English translation hereof, the Turkish language version shall be controlling.

Announcement Category

Announcement

Nur Didem Başkurt : Omnidirectional Hyperspectral Imaging

PhD. Candidate: Nur Didem Başkurt

Program: Information Systems

Date: 28.08.2019 10:00 a.m

Place: Conference Hall 01

Abstract: We aim to integrate hyperspectral cameras with catadioptric omnidirectional imaging systems to be able to benefit from the advantages of both. Hyperspectral imaging systems provide dense spectral information about the scene being investigated by collecting contiguous data from high number of bands on the electromagnetic spectrum. However the low spatial resolution of these sensors frequently bring about the mixing problem in remote sensing applications. Several unmixing approaches are developed in order to handle the challenging mixing problem on perspective images. On the other hand, omnidirectional imaging systems provide a 360-degree field of view in a single image, while they renounce high spatial resolution. Catadioptric images introduce a radial warping due to the structure of the mirror used in the system. This warping causes a non-uniformity in the spatial resolution which makes the unmixing problem more complicated. In this context, a novel spatial-contextual unmixing algorithm is developed specialized for the large field of view hyperspectral imaging systems. The proposed algorithms are evaluated on various real-world and simulated cases. Experimental results show that the proposed approach outperforms compared methods.

Announcement Category

Thesis defense

Important Notice on Graduate Applications

Applications to the graduate programs for the Fall semester will be made in two groups according to the changes made in the academic calendar.

The list of the candidates who have been accepted after the evaluations of all the applications completed between 29 April - 19 June 2019 will be announced on 3 July 2019 on our Institute’s web site. As a result of this evaluation only the accepted candidates lists will be announced. Those who are not in these lists will be evaluated in the second group.

Online application system will be re-opened for the second group between 2 - 19 August 2019. Between these dates, new applications will be accepted and the applications made in the first group could be updated, if needed. Final admission results for all applications will be announced on 9 September 2019.

The candidates who have been accepted in the first group should not make any changes in their applications in the second group. If these candidates change their applications after getting acceptance in the first group, they would invalidate their acceptance results and would require reevaluation in the second group.

Registration of students newly admitted to graduate programs will be held between 11 and 13 September 2019.

During the interview dates previously announced by our Institute, only the interviews of candidates who are evaluated in the first group will be carried out. The interviews of candidates who will be evaluated in the second group will be held between 27 August-5 September 2019. Detailed information on these interview dates, times and locations will be announced later.

Important dates are as follows:

Graduate program applications for the Fall Semester (First group)	29 April – 19 June 2019
Interview dates and locations for evaluations of candidates in the first group (Starting times of the interviews will be announced later):
Cognitive Science PhD Program:	26 June 2019, Room II-03
Cognitive Science MSc without Thesis Program:	(Evaluations to be carried out along with the second group on application documents only)
Multimedia Informatics MSc and PhD Programs:	28 June 2019 Room II-01
Information Systems MSc and PhD Programs:	27-28 June 2019 Room II-02
Cyber Security MSc without Thesis Program:	27 June 2019 Room II-01
Medical Informatics PhD, MSc with Thesis and MSc without Thesis Programs:	26 June 2019 Room II-06
Bioinformatics MSc Program:	26 June 2019 Room II-06
Announcement of accepted candidates in the first group	3 July 2019
Graduate program applications for the Fall Semester (Second group – New applications and updates to first group applications)	2 August 2019-19 August 2019
Interview dates for evaluations of candidates in the second group	27 August-5 September 2019
Announcement of final admission results	9 September 2019
Registration of students newly admitted to graduate programs	11-13 September 2019

Announcement Category

Announcement

Read more about Siber Güvenlik 2.Grup Yüksek Lisans Programları Mülakatları

Siber Güvenlik 2.Grup Yüksek Lisans Programları Mülakatları

02 -19 Ağustos 2019 2. GRUP MÜLAKATLARI
ODTÜ Akademik Takvimi’nde yapılan değişiklik nedeniyle sonbahar dönemi başvurularında iki gruplu değerlendirme uygulanacaktır. Bu uygulama hakkında detaylı bilgi linkteki duyuruda verilmektedir: http://ii.metu.edu.tr/tr/duyuru/lisansustu-basvurularla-ilgili-onemli-duyuru”.

Siber Güvenlik 2.Grup Yüksek Lisans Programları Mülakatları 05 Eylül 2019 tarihinde yapılacaktır.

- ÖNEMLİ NOT -

* Mülakata davet edilecek adayların isim listesi ve mülakat başlangıç saatleri ayrıca duyurulacaktır.

Announcement Category

Announcement

Müge Değirmenci Camcı, Synthesis of Realistic 3D Artifacts Using Flow Fields

There is a high demand for realistic computer aided imagery by many applicatiion areas such as games and movies. Due to the complicated characteristics of certain natural phenomena such as fire, smoke or mist, it is difficult to realistically mimic these effects. There are various approximation methods to visually synthesize lifelike 3D artifacts. The use of flow fields to guide the motion of particles creates a random but natural-looking effect. The aim of this study is to use flow fields to generate realistic 3D visual effects.

Date: 06.09.2019 / 11:00 Place: A-212

Müge Değirmenci Camcı, Synthesis of Realistic 3D Artifacts Using Flow Fields

Language English

Read more about Çoklu Ortam Bilişimi 2.Grup Doktora ve Yüksek Lisans Programları Mülakatları

Çoklu Ortam Bilişimi 2.Grup Doktora ve Yüksek Lisans Programları Mülakatları

Çoklu Ortam Bilişimi 2. grup Doktora ve Yüksek Lisans mülakatları 03 Eylül 2019 tarihinde yapılacaktır.

- ÖNEMLİ NOT -

* Mülakata davet edilecek adayların isim listesi ve mülakat başlangıç saatleri ayrıca duyurulacaktır.

Announcement Category

Announcement

Bekir Öztürk, : Semi Dynamic Light Maps

M.S. Candidate: Bekir Öztürk

Program: Multimedia Informatics

Date: 04.09.2019 / 13:30

Place: A-108

Abstract: One of the biggest challenges of real-time graphics applications is to maintain high frame rates while producing realistically lit results. Many realistic lighting effects such as indirect illumination, ambient occlusion, soft shadows and caustics are either too complex to render in real-time with today`s hardware or cause significant hits to frame rates. Light mapping technique offers to precompute the lighting of the scene to speed up expensive lighting calculations at run-time. This allows rendering high quality lights from a high number of light sources even on low-end devices. The primary drawback of this technique is that scene state that is dependent on the precomputed data cannot be changed at run-time. This includes intensity, color and position of light sources as well as position and visibility state of light map illuminated objects. This property of light maps significantly decreases the interactability of applications. In this thesis, we present a method to remove some of these restrictions at the cost of additional texture memory and small CPU/GPU workload. This allows changing color and intensity properties of selected light sources at run-time while keeping the benefits of light mapping technique. It is also becomes possible to change visibility state of selected objects. Our algorithm computes the light maps separately for each light source. Regions shadowed by each selected object are also captured and stored. These maps are later combined at run-time to correctly illuminate the scene. Despite the increase in the generation time of precomputed data, the overhead of the method at run-time is low enough to make it useful in many real-time applications.

Announcement Category

Thesis defense

Read more about Bilişsel Bilimler Anabilim Dalı 2. grup Doktora mülakatları

Bilişsel Bilimler Anabilim Dalı 2. grup Doktora mülakatları

Bilişsel Bilimler Anabilim Dalı 2. grup Doktora mülakatları 03 Eylül 2019 tarihinde yapılacaktır.

- ÖNEMLİ NOT -

* Mülakata davet edilecek adayların isim listesi ve mülakat başlangıç saatleri ayrıca duyurulacaktır.

** Tezsiz yüksek lisans programı için mülakat yapılmayacaktır.

Announcement Category

Announcement

Özgür Ural, : AUTOMATIC DETECTION OF CYBER SECURITY EVENTS FROM TURKISH TWITTER STREAM AND TURKISH NEWSPAPER DATA

M.S. Candidate: Özgür Ural

Program: Cyber Security

Date: 07.08.2019 / 11:00

Place: A-108

Abstract: Cybersecurity experts scan the internet and face security events that influence users, institutions, and governments. An information security analyst regularly examines sources to stay up to date on security events in her/his domain of expertise. This may lead to a heavy workload for the information analysts if they do not have proper tools for security event investigation. For example, an information analyst may want to stay aware of cybersecurity events, such as a DDoS (Distributed Denial of Service) attack on a government agency website. The earlier they detect and understand the threats, the longer time remaining to alleviate the obstacle and to investigate the event. Therefore, information security analysts need to establish and keep situational awareness active about the security events and their likely effects. However, due to the large volume of information flow, it may be difficult for security analysts and researchers to detect and analyze security events timely. There have been attempts to solve this problem both from an academic perspective and engineering purposes.

A recent challenge in this domain is that the internet community use different languages to share information. For instance, information about security events in Turkey is mostly shared on the internet in Turkish. The present thesis investigates the automatic detection of security incidents in Turkish by processing Twitter and news media. It proposes an automatic, Turkish specific software system that can detect cybersecurity events in real time.