imkanlar
19
Eyl 2019
2019-2020 Bahar Döneminde Bitirme Projesi Sunacak Öğrencilerin Dikkatine

To Senior Computer Engineering Students who are planning to submit their thesis at the end of the next (2019-2020) Spring Term,

Please make sure that you are following the guideline given on the following link: https://portal.cs.itu.edu.tr/tr/ogrenciler/bitirme-odevleri/00-graduation-project-fundementals.doc

You should fill out and deliver the “Project_Charter” file (given on the link https://portal.cs.itu.edu.tr/tr/ogrenciler/bitirme-odevleri ) to the department secretary before October 3rd, 17:00.

You may also find additional information about the project areas available and the faculty members who are looking for undergrad students below:

Faculty Member

 

 

Number of Undergrad Students

 

 

Project Areas

 

 

Islem Rekik

 

 

5

 

 

Machine Learning, Deep Learning, Brain Data Analysis, Developing AI for Healthcare, Predicting Brain Disease Evolution for Better Diagnosis, Analyzing Neural Pathways using Machine Learning

 

 

Uluğ Bayazıt

 

 

5

 

 

Computational Geometry, Image Classification using Deep Learning, Object Recognition with Deep Learning, Distance Prediction with Deep Learning

 

 

Şerif Bahtiyar

 

 

2

 

 

Fraud Detection with Machine Learning, Access Control over Blockchain

 

 

Şule Gündüz Öğüdücü

 

 

3

 

 

Data Mining, Deep Learning, Like Prediction of Instagram posts, Retweet prediction, graph clustering

 

 

Gokhan Secinti

 

 

2

 

 

Software-defined Network Applications on Unmanned Aerial Networks, Protocol Design and Analysis on Ad-hoc Networks

 

 

Gökhan İnce

 

 

2

 

 

https://kovan.itu.edu.tr/index.php/s/XpBLwKNC32zRzTX

 

 

Ayşe Tosun

 

 

4

 

 

Machine Learning, Code Completion Engines, Warehouse slotting Optimization, Data Visualisation for Warehouse Activities

 

 

Sema Oktuğ

 

 

3

 

 

Issues Related to Internet of Things, Performance Modelling of Computer Networks, Wireless Networks (sensor, mesh, cognitive)

 

 

Feza Buzluca

 

 

3

 

 

Developing properly-designed (considering software design principles and patterns) software systems including efficient algorithms.
Defect prediction in object-oriented software projects using rule-based and/or machine-learning methods.

 

 

Mehmet Tahir SANDIKKAYA

 

 

5

 

 

IoT in smart cities, Blockchain-based immutable document sharing, 5G physical security, CDN plugin for nginx

 

 

Ayse Yilmazer

 

 

2

 

 

Graph neural networks (implementation, performance analysis), distributed GNN computing, improving efficiency of GPU micro-architecture, GPU synchronization, GPGPU computing applications, compiler analysis, graph computing