Ph.D. Theses

• Güner Tatar (2024): Design aspects of machine learning algorithms for the hardware implementation of advanced driver assistance systems (A/DAS) , Thesis pdf
• Published SCI Journal Articles:
  • Tatar, G., Bayar, S., Cicek, I., & Niar, S., (2024). Recent advances in Machine Learning based Advanced Driver Assistance System applications. MICROPROCESSORS AND MICROSYSTEMS , vol.110, 1000-1039.
  • Tatar, G., Bayar, S., (2024). Energy efficiency assessment in advanced driver assistance systems with real-time image processing on custom Xilinx DPUs. JOURNAL OF REAL-TIME IMAGE PROCESSING , vol.21, no.5, 157.
  • Tatar, G., Bayar, S., & Çiçek, I., (2024). Real-Time Multi-Learning Deep Neural Network on an MPSoC-FPGA for Intelligent Vehicles: Harnessing Hardware Acceleration With Pipeline. IEEE Transactions on Intelligent Vehicles , vol.9, no.6, 5021-5032.
  • Tatar, G., Bayar, S., (2023). Real-Time Multi-Task ADAS Implementation on Reconfigurable Heterogeneous MPSoC Architecture. IEEE Access , vol.11, 80741-80760.

M.Sc. Theses

• Sedat Çağlar (2024): Design and implementation of a 3-phase 2-level inverter with output voltage regulation improvement, Thesis pdf
• Zeynep Nur Doğaner (2022): Comparison of FPGA Design Methods Through Implementation of Spatial Image Filters, Thesis pdf
• Fatih Tat (2022): An Area-Efficient FPGA Implementation of Lane and Obstacle Detection for Driving Assistance Systems, Thesis pdf
• Billel Alla Eddine Bencharif (2021): Distributed acoustic sensor acquired signals: detection, processing, classification, and parallel implementation, Published "Journal of Applied Remote Sensing" Journal (2022), Thesis pdf
• Batuhan Hangün (2021):Performance Evaluation of a Parallel Image Enhancement Technique for Dark Images on Multithreaded CPU and GPU Architectures, Published "Signal, Image and Video Processing" Journal (2024), Thesis pdf
• Serkan Sağlam (2020): Medical Image Processing on Xilinx FPGAs, Published "IEEE Access" Journal (2024), Thesis pdf