Cognitive Science Department Ph.D. Program Interview Date and Candidate List

The interviews will be in zoom. We will send you the link.  the interview times are approximate and in that order. 

It's best if you join the meeting from the beginning, to avoid problems with no-shows and delays. The other candidates

will be in waiting room when one candidate is being interviewed.

BİLİŞSEL BİLİMLER (COGS) ANA BİLİM DALI BAŞKANLIĞI
2020-2021 / 1.DÖNEM BAŞVURULARI
MÜLAKAT LİSTESİ
25 EYLÜL 2020

 

ADI

SOYADI

Mülakat Saati

Program

1

ADNANE

BENABBİ

10.00

Doktora

2

SALİH FIRAT

CANPOLAT

10.10

3

MUSTAFA EROLCAN

ER

10.20

4

TUĞÇE

GÖLGELİ

10.30

5

ARZU BURCU

GÜVEN

10.40

6

MERT

HASANOĞLU

10.50

7

BARIŞ SU

KARAKELLE

11.00

8

TOPRAK SEDA

KARAOSMANOĞLU

11.10

9

FADİME

KOCAPINAR BATMAZ

11.20

10

OĞUZHAN CAN

ÖĞE

11.30

11

UTKU

ÖZGEN

11.40

12

GÖKÇE

ULUISIK

11.50

Announcement Category

Interview Information for Graduate Programs

Information Systems M.S. Program (Thesis & Non-Thesis) /Ph.D. Program: 28-29 September 2020 / Interviews will be held online. The name list for the candidates invited to the interviews will be announced on September 25, 2020.

Cybersecurity M.S. Program (Non-Thesis): 24 September 2020 / Interviews will be held online. / The interview date for non-citizen students will be announced. The online meeting for the CSEC interview on 24 September 2020 is sent to the candidates. Please check the e-mail addresses that you have entered during your application.

Cognitive Science Ph.D. Program: 25 September 2020 - 10:00 / Interviews will be held online.

Cognitive Science M.S. Program (Non-Thesis): Evaluations will be held on the application files. There will not be interview section. 

Multimedia Informatics M.S./Ph.D. Program: 28 September 2020 - 10:00 / Interviews will be held online.

Medical Informatics M.S. (Non-Thesis): 30 September 2020 / 10:00 - 11:00 / Interviews will be held online.

Bioinformatics M.S. Program : 30 September 2020 / 13:00 - 17:00 / Interviews will be held online.

Medical Informatics Ph.D. Program : 01 October 2020 / 10:00 - 11:30 / Interviews will be held online.

- IMPORTANT NOTE - 

The name list for the candidates invited to the interviews and interview times will be announced later. 

Announcement Category

Full-time Faculty Positions in Health Informatics

Full-time Faculty Positions in Health Informatics

METU Department of Health Informatics invites applications for Assistant Professor positions (Dr. Öğretim Üyesi).  We are looking for outstanding researchers from interdisciplinary backgrounds such as neurosciences, biomedicine, and engineering interested in working in the fields of translational neuroimaging, non-invasive brain stimulation, advanced neurophysiology and computational neuroscience, bioinformatics and clinical informatics.

Applicants can seek for more information about the Health Informatics Department and the ongoing research of current faculty from the following resources:

Health Informatics Department: http://hi.metu.edu.tr

Medical Informatics Program: http://mi.metu.edu.tr

Bioinformatics Program: http://bi.metu.edu.tr

 

APPLICATION PROCEDURE

Please share your current CV, and letter of intent on research and teaching with the Head of Department Dr. Aydın Son (yesim@metu.edu.tr). Applications will be screened based on department requirements, and additional documentation can be requested accordingly.

EVALUATION OF APPLICATIONS

Initial evaluation will be conducted by the academic committee; final appointment is pending on university and the higher-education council (YÖK) approval.

Announcement Category

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

English

YÖK 100/2000 Doktora Burs Programı "Biyoenformatik ve Biyoistatistik" Öncelikli Alan Başvuruları

"Biyoenformatik ve Biyoistatistik" Öncelikli alanında verilmek üzere Bahar 2020 Dönemi için başvurular ODTÜ Enformatik Enstitüsü tarafından 19.02.2020 ve 26.02.2020 tarihleri arasında alınacaktır.

100/2000 YÖK Doktora Bursu usul ve esaslarına dair detaylı bilgiyer erişim için: https://yuzikibinbursu.yok.gov.tr/Documents/AnaSayfa/100_2000_Usul_Esaslar.pdf

"Biyoenformatik ve Biyoistatistik" alanlarında doktora yapmak isteyen veya doktora programına kayıtlı olup tez aşamasına geçmemiş öğrencilerin aşağıda belirtilen başvuru için gerekli belgeleri elden basılı alarak ODTÜ Enformatik Enstitü Müdürlüğü sekreteri Nilüfer Şeker'e teslim etmeleri gerekmektedir.

Gerekli belgeler:

  • Transkript (Lisans ve Yüksek Lisans)
  • ALES Sonuç Belgesi
  • Yabancı Dil Sınav Sonucu
  • Burs programına başvurmak istediğine dair başvurmak istediği alanı belirten ve iletişim bilgilerini içeren (adres, telefon numarası, e-posta) dilekçe
  • Çalışma belgesi (İlgili Makama hitaben yazılacak olup işe başlama tarihi belirtilmiş olmalıdır.)

Announcement Category

COGS Seminar Series (Algorithmic Identification of Observers in Arbitrary Dynamical Systems)

Cognitive Science Departmental Seminars starts with Gülce Kardeş from Physics department.

Date: 19.02.2020, 12:40, Place: S-03

 

Algorithmic Identification of Observers in Arbitrary Dynamical Systems

 

Gülce Kardeş, METU Physics

 

Abstract

Since Shannon’s introduction to information theory, we have tended to fix our attention to a syntactic analysis of information. Yet a profound disclosure of meaning in information is reported by a group of systems (e.g. biological organisms) that use information from their environment which causally contributes to their ability of maintaining existence. In this study, we consider the problem of identifying such systems, called observers, that render a priori companion of semantic information (Kolchin- sky and Wolpert, 2018) possible. We introduce spin models as a platform in which we construct an identification procedure. Our findings present the physical properties of spin systems that have determinant role in specifying observers. We also investigate further characteristics of semantic information, and list several implications to discuss the applicability of our work to any physical system.

 

Joint work with David Wolpert, Santa Fe Institute

Announcement Category

Pages

Subscribe to Graduate School of Informatics RSS