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Short description of portfolio item number 1
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Dilara Keküllüoğlu, Nadin Kökciyan, and Pınar Yolum. Published in ACM Transactions on Internet Technology (TOIT), 2018. PDF
Dilara Keküllüoğlu, Walid Magdy, and Kami Vaniea. Published in Proceedings of the 12th ACM Conference on Web Science, 2020. PDF
Nicole Meng, Dilara Keküllüoğlu, and Kami Vaniea. Published in Proceedings of the ACM on Human-Computer Interaction, 2021. PDF
Dilara Keküllüoğlu, Kami Vaniea, and Walid Magdy. Published in Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022. PDF
Dilara Keküllüoğlu, Walid Magdy, and Kami Vaniea. Published in Proceedings of the International AAAI Conference on Web and Social Media, 2022. PDF
Dilara Keküllüoğlu, Kami Vaniea, Maria K. Wolters, and Walid Magdy. Published in Proceedings of the ACM on Human-Computer Interaction, 2023. PDF
Dilara Keküllüoğlu and Yasemin Acar. Published in 2023 IEEE Symposium on Security and Privacy, 2023. PDF
Published:
Series of talks around my PhD thesis:
Published:
The conference presentation for the paper resulting from my research visit to Max Planck Institue for Security and Privacy. The presentation is here.
Published:
Series of research talks in İstanbul in Sabancı University, IEEE Computer Society (Özyeğin University), KUIS AI Talks (Koç University), and Boğaziçi University.
Undergrad course, Sabanci University, Computer Science and Engineering Department, 2024
This course studies the theory, design and implementation of natural language processing systems. Topics include text processing, regular expressions, statistical properties of text, language modeling, text classification, sequence modeling, computational morphology, neural networks for NLP, chatbots, large language models.
Double-coded course, Sabanci University, Computer Science and Engineering, 2025
Artificial Intelligence systems have become increasingly involved in our lives. These systems can be used in relatively low-stakes decision making such as recommender systems but they are also used in medical contexts too. More recently, the wider public utilize generative AI tools such as ChatGPT and Midjourney to write documents, reports, and emails, or create pictures, and logos to use in various ways. All of these introduce ethical challenges with implications for data ethics, privacy, bias, sustainability, and so on. This course will introduce the ethical implications of artificial intelligence to the students. We will also discuss our role in this and how to take steps to minimize harm as people working with big data and AI (e.g. future researchers, software engineers, or analysts).