Mert Kiray
Scholar

Mert Kiray

Google Scholar ID: NeZjProAAAAJ
Technical University of Munich
Computer VisionDeep Learning
Citations & Impact
All-time
Citations
0
 
H-index
0
 
i10-index
0
 
Publications
2
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • 1. Self-supervised Learning on EEG Data for Emotion Prediction
  • 2. Dream Challenge: Predicting gene expression using millions of random promoter sequences
  • 3. Laparoscopic Cholecystectomy: Addressing challenges in laparoscopic cholecystectomy due to 2D imaging and visibility issues.
  • 4. 6G Digital Twin: Handover Prediction: Developing a 6G Digital Twin for handover prediction by constructing a detailed digital replica of a scene.
Research Experience
  • 1. Computer Vision Student Researcher at TUM, April 2022 – April 2023: Worked as a research assistant on the 6G digital twin project, conducting research on different contrastive learning methodologies on point clouds for various downstream tasks.
  • 2. Software Developer | CTO | Co-Founder at Octovan, June 2017 – August 2020: Led developer teams and technology selection, created a resilient API backend with Spring Boot and Hibernate, and engineered AWS-based infrastructure.
  • 3. AI Researcher & Co-Founder at Jigglypop, September 2018 – September 2020: Created a customer action prediction using seq2seq approach in Python with PyTorch.
  • 4. Teaching Assistant at Koç University, July 2017 – October 2017: Assisted students with mobile device programming codes and graded projects.
  • 5. Software Developer Intern at Accenture Digital, August 2016 – November 2016: Developed machine learning packages for a robotic arm.
Education
  • 1. M.Sc. in Computer Science, 2023, Technical University of Munich
  • 2. B.Sc. in Computer Engineering, 2018, Koç University
Background
  • A dynamic figure in the realms of computer vision, deep learning, and software engineering. Holds a Bachelor of Science in Computer Engineering from Koç University, Istanbul, and a Master of Science in Informatics from the Technical University of Munich, where he distinguished himself academically. His research interests include computer vision, deep learning, machine learning, software engineering, and cloud computing.
Miscellany
  • Interests include computer vision, deep learning, machine learning, software engineering, and cloud computing.