Bilkent University CS team grabbed 2nd place in STM CTF competition

Bilkent University CS team grabbed 2nd place in STM CTF  competition

On 30th October 2020, STM organized a 24-hour long capture-the-flag (CTF) competition in which 161 teams from all over Turkey took place. Bilkent University’s hacking society “Exploit Studio” grabbed 2nd place in the competition. The team consisted of Yaman Yağız Taşbağ (CS), Mustafa Kemal Can (BAU-CS), Muhammad Saboor (CS), and Arslan Masood (IU-MATHS). In cybersecurity field, CTF competitions involve participants solving security related problems and exploiting vulnerable systems. These problems belong to different categories such as cryptography, web application hacking, mobile application hacking, forensics, reverse engineering, and malware analysis. The members of Exploit studio meet regularly and share their knowledge about different information security topics.

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AI based automatic interview platform established by two engineering graduates

AI based automatic interview platform established by two engineering graduates

Two engineering graduates, Arda Çelebi (CS 2002) and Efe Pazarçeviren (IE 2002) established a startup company that develops an AI-based job interview platform VireUp. The platform analyzes the interview videos of candidates and evaluates the interview performance for employers to make decisions. Additionally, the platform gives feedback to job candidates about their interview performance, strong and weak points.

Dr. Ayşegül Dündar, doing research on artificial intelligence, machine learning and computer vision, joined our department as assistant professor in September 2020.

Dr. Ayşegül Dündar, doing research on artificial intelligence, machine learning and computer vision,  joined our department as assistant professor in September 2020.

Dr. Dündar received her B.S. degree from Boğaziçi University in 2011 and her Ph.D. degree from Purdue University in 2016. Her Ph.D. thesis is on machine learning with a title “Learning from Minimally Labeled Data with Accelerated Convolutional Neural Networks”. Between 2016 and 2020, she worked at NVIDIA, Santa Clara, USA. In NVIDIA, she worked on deep learning and computer vision. Dr. Dündar’s research fields and interests are machine learning, deep learning, computer vision, and software/hardware support for machine learning.