2022 Spring - Senior Projects

A Collaborative Web Tool for Linguistic Annotation

A Web Application for Annotating Dependency Parse Treebanks

Students: Salih Furkan Akkurt

A Graph Neural Network Approach for Social Networks

Deep Learning on graphs is a particularly important area in Machine Learning, especially when examining social networks.

Students: Doğukan Akar, Berkay Bör, Hazar Çakır

Advisors: Pınar Yanardağ, Suzan Üsküdarlı

Fairness and Bias in Generative Models

Recent advances in generative adversarial networks have shown that it is possible to generate high-resolution and hyperrealistic images.

Students: Kıymet Akdemir, Aleyna Kara

Advisors: Suzan Üsküdarlı, Pınar Yanardağ

A Question Answering Chatbot for CmpE Students

CmpE students do not like reading rules and regulations and the frequently asked questions posted on the web.

Students:

Advisors: Fatma Başak Aydemir, Alper Ahmetoğlu

A tool for detecting De-Da Mi-Mi Ki-Ki spelling mispellings in Turkish

The mispelling of de-da is a hot topic among Turkish speakers.

Students: Mustafa Emir Çolak, Ahmet Melih Aydoğdu

Advisors: Suzan Üsküdarlı, Onur Güngör

Automatized Software Architecture and Dependency Graph Design

This project aims to improve the quality of developed software and enhance the software development process by employing the well-known software architecture and design principles (like SOLID principles) into the development phase.

Students: Berk Yamanoğlu

Advisors: Suzan Üsküdarlı, Fatma Başak Aydemir

Bladder Segmentation to Classify the Level of Tumor Invasions According to VI-RADS

This is an interdisciplinary project that aims to classify the degree to which of bladder lesions invade the bladder walls, which is critical to assessing the patient’s treatment.

Students: Gözde Ünver, Berkay Demirtaş, Sabri Gökberk Yılmaz

Advisors: Suzan Üsküdarlı, Pınar Yanardağ

Cloth Segmentation for a Fashion Image Recommendation Engine

In this project, image segmentation algorithms will be used for a fashion cloth analysis system.

Students:

Advisors: Berk Gökberk

Extracting Markers from physiological and survey data collected from wearable devices

Wearable devices can capture multimodal data corresponding to a person’s activity, stress, sleep information to measure and improve health and well-being.

Students: Ekrem Yusuf Ekmekci, Eren Altunoğlu

Advisors: Özlem Durmaz İncel, Berrenur Saylam

Extracting Markers from physiological and survey data collected from wearable devices (INF491 or INF492)

Wearable devices can capture multimodal data corresponding to a person’s activity, stress, sleep information to measure and improve health and well-being.

Students:

Advisors: Özlem Durmaz İncel, Berrenur Saylam

Fashion Design Generation with Generative Adversarial Networks

We will explore GANs and their ability to generate and manipulate fashion designs.

Students:

Advisors: Pınar Yanardağ, Lale Akarun

Completed Projects - 2022 Spring