KANSİL Laboratories instructor exam will be held on 14 October 2019 Monday at 14:00 in A Block 108. The name of the candidates who will take the evaluation exam are as follows:

PhD Candidate: Ali Mert Ertuğrul
Program: Information Systems
Date: 20.11.2019 15:30
Place: Conference Hall 1

Abstract: The relationships between individual activities and societal events (e.g. migrations, social movements) are complex due to the various social, temporal and spatial factors. Understanding such relationships in the context of various societal events such as street protests and opioid crisis, and forecasting these events is important as they have great impacts on public policies and supporting decision making of authorities. In this thesis, novel, spatio-temporal, deep neural networks are proposed (i) to forecast societal events and (ii) to help examine the relationships between societal events and their social and geographical contexts. The proposed models are designed to model the complex interactions between local (observed from within a location) and global (observed from all locations) activities by incorporating a new design of attentional networks. They are capable of forecasting the occurrence of future societal events and allow for interpreting what features, from which places, and how they contribute to event forecasting. Within the scope of this thesis, extensive experiments are conducted to evaluate the proposed networks on two different types of population-level societal events, namely social movements and opioid overdoses, with multiple datasets. The results indicate that the proposed models achieve superior forecasting performance than the compared methods. Also, they provide meaningful interpretations in terms of (i) what local and global activity features are more predictive, (ii) what locations have more salient contributions, and (iii) how these locations contribute to forecasting the subsequent events.

Siber Güvenlik EABD Tezsiz Yüksek Lisans Programı 2.Grup Mülakat Sonuçları

Sağlık Bilişimi EABD Doktora ve Yüksek Lisans Programları ile Biyoenformatik Yüksek Lisans Programına, 2019-2020 Eğitim Öğretim Yılı sonbahar dönemi için, 2.Grup başvurularına ait yapılan mülakatlar neticesinde programa kabul edilen öğrencilerin isimleri aşağıda belirtilmiştir.

* Programa yeni kabul edilen öğrencilerimizle ayrıca, etkileşimli kayıtlar haftasında oryantasyon toplantısı yapılacak olup, web sayfamız üzerinden toplantı tarih ve saat bilgileri yayınlanacaktır.

2.Grup Doktora Programı Kabul Listesi

Sercan Çadırcı (Bilimsel Hazırlık)

Gizem Göktepe

Meriç Kınalı

2.Grup Yüksek Lisans Programı Kabul Listesi

Burhan Eyüboğlu (Bilimsel Hazırlık)

Pınar Can Varol (Bilimsel Hazırlık)

Reza Yahyaei (Bilimsel Hazırlık)

2.Grup Biyoenformatik Yüksek Lisans Programı Kabul Listesi

Hüseyin Cahit Burduroğlu (Bilimsel Hazırlık)

Nazır Bilal Yavuz (Bilimsel Hazırlık)

Bilişsel Bilimler EABD Doktora ve Yüksek Lisans Programlarına 2019-2020 Eğitim Öğretim Yılı sonbahar dönemi için; 2.Grup Doktora Programı başvurularına ait yapılan mülakatlar neticesinde ve 1./2.Grup Tezsiz Yüksek Lisans Programı başvuruları değerlendirmesi neticesinde programa kabul edilen öğrencilerin isimleri aşağıda belirtilmiştir.

* Programa yeni kabul edilen öğrencilerimizle ayrıca, etkileşimli kayıtlar haftasında oryantasyon toplantısı yapılacak olup, web sayfamız üzerinden toplantı tarih ve saat bilgileri yayınlanacaktır.

2.Grup Doktora Programı Kabul Listesi

Aida Ben Halima (Bilimsel Hazırlık)

Lejla Hasandecic-Dapo (Bilimsel Hazırlık)

Emre Erçin

1. ve 2.Grup Tezsiz Yüksek Lisans Programı Kabul Listesi

Deniz Beste Akdoğdu (Bilimsel Hazırlık)

Seda Aksoy (Bilimsel Hazırlık)

Semih Can Aktepe (Bilimsel Hazırlık)

Burcu Alakuş  (Bilimsel Hazırlık)

Hazal Arpacı (Bilimsel Hazırlık)

Mehmet İlteriş Bozkurt (Bilimsel Hazırlık)

Mert Can  (Bilimsel Hazırlık)

Hakan Mehmet Çolak (Bilimsel Hazırlık)

Ahmer A.F.A Darwish (Bilimsel Hazırlık)

Sedef Erdemli (Bilimsel Hazırlık)

Beyza Eren (Bilimsel Hazırlık)

Doruk Yiğit Erigüç (Bilimsel Hazırlık)

Elif Ebru Ersöyleyen (Bilimsel Hazırlık)

Melek Ertan (Bilimsel Hazırlık)

Sertuğ Gürel (Bilimsel Hazırlık)

Aybige Gürsoy (Bilimsel Hazırlık)

Mert Hasanoğlu

İpek Havuç

İrem Hergüner (Bilimsel Hazırlık)

Baran Kahyaoğlu

Efsun Kavaklıoğlu (Bilimsel Hazırlık)

Owaym Khan (Bilimsel Hazırlık)

Ali Çağatay Kuru (Bilimsel Hazırlık)

Sevgi Nalçakan (Bilimsel Hazırlık)

Hilal Nizamoğlu (Bilimsel Hazırlık)

Melis Odabaş (Bilimsel Hazırlık)

Sefa Burak Okcu (Bilimsel Hazırlık)

Rojda Özcan (Bilimsel Hazırlık)

Fatma Ece Özkan (Bilimsel Hazırlık)

Rıfat Can Salman (Bilimsel Hazırlık)

Ümmü Gülsüm Soydan (Bilimsel Hazırlık)

Ahmet Sülün (Bilimsel Hazırlık)

Elif Taştekin (Bilimsel Hazırlık)

Mert Türedioğlu (Bilimsel Hazırlık)

Nilay Yılmaz (Bilimsel Hazırlık)

Naz Buse Yılmaz

Msc. Candidate: Doğan Doğanay

Program: Information Systems

Date: 06.09.2019 11:00 a.m

Place: B-116

Abstract: Increasing usage of Information Technologies in organizations both private and public, audit activities has become more complicated for audit bodies. At this stage, Computer Assisted Audit Tools and Techniques (CAATTs) provide many advantages to auditors to carry out their tasks in an effective and efficient manner in such an environment and expansion of CAATTs usage plays an important role for auditors and organizations. In order to increase usage of CAATTs, it is critical to know what factors are significantly affecting the adoption decision. In this respect, the main objective of this paper is to reveal the factors affecting the Acceptance or Adoption of CAATTs by auditors. For this purpose, this study empirically explores the variables impacting use of CAATTs by Turkish auditors. As a result, a CAATTs adoption model is created in this study. In the scope of this study, firstly, studies related with the adoption of CAATTs were reviewed from 2000 to end of February 2019. This review gives information about past research on the field. At the end of the literature review, most significant factors affecting the CAATTs adoption are identified. Then, a technology adoption model and related hypotheses are proposed in the light of information derived from literature review. To test the hypotheses a quantitative method (questionnaire) is followed. Data is collected from auditors from Turkey. The model is tested using Structural Equation Modelling with Partial Least Squares (SEM-PLS). Inter-factor relationships are also introduced to the model after outcomes are obtained. At the end, the model's final version is developed and the most significant factors affecting the adoption of CAATTs by auditors are revealed.

Msc. Candidate: Mutlu Erhan

Program: Information Systems

Date: 04.09.2019 16:15 p.m

Place: A-108

Abstract: Security and privacy issues in the Internet of Things (IoT) have received much attention in recent years because of the attacks, which have increased both in quantity and diversity. Many studies have been done to make the IoT ecosystem more secure, and these have managed to ease some risks partially by presenting security frameworks or basic standards. However; presented frameworks or standards have not been accepted by all the stakeholders in the IoT ecosystem and have not been able to provide solutions for design and evaluation. One way to decrease the risks posed by the vulnerabilities is to increase awareness of the stakeholders for security and privacy issues in the IoT system via providing simple, usable and enough protection skills, methods, standards and framework models in a design and evaluation environment.

Previous studies have analyzed reference framework models, presented security threats as a layered structure and managed to demonstrate the visibility of risks with a model of building blocks. However, besides the demonstration of the general security problems in the IoT stack, little attention was given to the generation of an evaluation environment and its usability. This study aims to present an environment, named as the Secure IoT Design and Evaluation Environment (SIDE), for IoT system developers to evaluate their products security risks against related vulnerabilities and to correct their deficits in the ecosystem, especially at the design phase. It was shown that the SIDE is practical and highly usable in identifying threats related to a design decision and evaluating the security of alternative solutions based on their known vulnerabilities.