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Education
PhD in Computer Science, University of Illinois Urbana-Champaign, September 2023 -
- Interested in Computing Education, HCI
BSc in Computer Engineering, Istanbul Technical University, September 2018 - January 2023
Experience
Research Assistant @ University of Illinois Urbana-Champaign | (August 2023 - )
- Working with Dr. Katie Cunningham to analyze what units of knowledge novices acquire in introductory programming courses.
- Using an educational analytics approach to better understand the set of skills that students learn in these courses.
Research Engineer @ Vitamu | (April 2022 - June 2023)
- Worked on developing learning-based algorithms for breast cancer detection and localization from digital mammography imaging.
- Installed training environments on cloud for computationally demanding models using Amazon Web Services (AWS).
- Implemented configuration management servers using Puppet to automatically deploy development environments on Google Cloud Platform (GCP).
- Deployed a production prototype on cloud using Docker.
R&D Engineer @ Yapi Kredi Teknoloji | (August 2021 - April 2022)
- Working in the NLP team under the R&D department.
- Contributed to SAFIR, which is a tool developed for information extraction from banking documents using a multimodal approach.
- Proposed an approach for parsing relations between pages in multi-page trade documents based on multimodal embeddings, to be published at ICPR 2022 and available here.
- Working on the testing of autonomous driving systems (ADS) with Dr. Reyhaneh Jabbarvand.
- Developed a test generation framework in Python using an open source autonomous driving simulator (SVL by LG).
- Evaluating the test generation framework on Apollo ADS by Baidu to test the coverage and efficiency of generated tests and see the effects of the introduced methods.
Research Intern @ BASIRA Lab, ITU | (December 2020 - May 2021)
- Worked on a geometric deep learning project with Dr. Islem Rekik.
- Proposed a novel method for behavioral score prediction from brain graphs using graph neural networks with collaborators from Germany and Tunisia.
- Conducted experiments of the proposed method in Python and Pytorch Geometric.
- Co-authored the paper explaining the method, published in Brain Imaging and Behavior (IF: 3.39).
- Worked on a game theory project supervised by Assoc. Prof. Alptekin Küpçü.
- Reviewed the game theory literature on commitment with a team of 4 interns.
- Developed a web application for playing Prisoner’s Dilemma variants with custom constraints against other people using JavaScript and Node.js.
Skills
Software
Python (5 years), C/C++ (4 years), JavaScript (3 years), PyTorch, HTML/CSS, Node.js, SQL, Git/Bash
Hardware
Arduino, ARM Assembly, Verilog HDL
Publications
M. Hanik, M. A. Demirtaş, M. A. Gharsallaoui, and I. Rekik, “Predicting cognitive scores with graph neural networks through sample selection learning,” Brain Imaging and Behavior, vol. 16, no. 3, pp. 1123–1138, Jun. 2022, doi: 10.1007/s11682-021-00585-7.
M. A. Demirtas, B. Oral, M. Y. Akpinar, and O. Deniz, “Semantic Parsing of Interpage Relations,” in 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, Aug. 2022, pp. 1579–1585. doi: 10.1109/ICPR56361.2022.9956546.
A. Waibel et al., “Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos,” arXiv:2206.04523 [cs, eess], Jun. 2022, Accessed: Jun. 23, 2022. [Online].
S. Yürekli, M. A. Demirtaş, and I. Rekik, “Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain Shifts,” in Predictive Intelligence in Medicine, Cham, 2022, pp. 149–159. doi: 10.1007/978-3-031-16919-9_14.
Lecturer for ITU ACM Student Chapter’s Introduction to Python course in Fall 2022, with more than 100 participants.
Taken part in multiple programs at invza:
