Merhaba!

I am a master’s student at TUM particularly interested in geometric deep learning and their application in natural sciences. I am currently developing physics-inspired neural networks for turbulent flows. I have studied Graph Neural PDEs and tested them in protein prediction task. I am also author of three papers on software architecture recovery.

I am eager to contribute to deep learning and natural sciences by pursuing a Ph.D. I believe that my industry experience and academic background will make me a valuable asset to the academic community. I am excited to collaborate with leading experts in the field.

Interests
  • Deep Learning
  • Natural Sciences
Education
  • MSc in Computer Science

    Technical University of Munich, DE

  • BSc in Computer Science, 2022

    Özyeğin University, Türkiye

  • Non-Degree Exchange Student, 2021

    Oregon State University, USA

Publications

(2024). Unfolding Time: Generative Modeling for Turbulent Flows in 4D. AI for Science Workshop @ ICML 2024.

DOI

(2023). Genetic Algorithms and Heuristics Hybridized for Software Architecture Recovery. Automated Software Engineering Journal.

Project DOI

(2022). HYGAR: A Hybrid Genetic Algorithm for Software Architecture Recovery. In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (SAC ‘22).

Project DOI

(2021). On the Use of Evolutionary Coupling for Software Architecture Recovery. 15th National Software Engineering Symposium of Türkiye (UYMS 2021).

Project DOI

Experience

 
 
 
 
 
Software Engineer
Feb 2022 – Mar 2023 Remote
  • Developed the fuel estimation algorithm for haul trucks for Komatsu & Modular Mining.
  • Coded an estimator that produces possible missions and refuel windows in the future using the prior missions of a truck.
 
 
 
 
 
Research Assistant
Mar 2021 – Jan 2023 Istanbul
  • Built automated systems for investigating the effects of evolutionary coupling in software architecture recovery.
  • Implemented encoder & decoder functions facilitating arithmetic crossover in genetic algorithms for a continuous optimizer.
 
 
 
 
 
Embedded Software Engineer
Mar 2021 – Jan 2022 Istanbul
  • Coded an audio analyzer in Python using PESQ 862 to find how good an audio file is.
  • Contributed to WiFi analyzer that scans the network and extracts relevant information.
  • Implemented a testbed with prplMesh, MiniNet and other hardware simulators on MIPS architecture.
 
 
 
 
 
Teaching Assistant
Mar 2019 – Aug 2021 Istanbul

Assisted with preparing course material, conducting tutorials, delivering office hours.

  • Discrete Mathematics for Computer Science (09/2020 – 09/2021)
  • Differential Equations (03/2020 – 06/2020)
  • Calculus II (03/2019 – 06/2020)
  • Calculus I (03/2019 – 06/2020)