Mehmet Güngör

PhD Researcher • Northeastern University

I am a PhD Researcher in the Department of Electrical & Computer Engineering at Northeastern University. My research focuses on FPGA hardware acceleration, heterogeneous cloud computing, machine learning pruning, and secure multi-party computation.

Google Scholar → • LinkedIn → • Research Blog → • Email →

Research Focus

FPGA Acceleration

Designing high-throughput compute engines for 3D CNNs and deep learning models using hardware-aware structured pruning.

Garbled Circuits & Security

Accelerating Yao's Garbled Circuits for privacy-preserving secure multi-party computation on cloud FPGA nodes.

Memory Optimization

Optimizing heterogeneous FPGA memory allocation (HBM, BRAM, URAM) via Bayesian optimization algorithms.

Selected Publications

3D CNN acceleration on FPGA using hardware-aware pruning 47 citations
M Güngör, et al.
IEEE High Performance Extreme Computing (HPEC)
Garbled circuits in the cloud using FPGA enabled nodes 29 citations
M Güngör, M Leeser, et al.
IEEE High Performance Extreme Computing (HPEC)
Accelerating large garbled circuits on an FPGA-enabled cloud 12 citations
M Güngör, et al.
Reconfigurable Computing & Applications
Machine learning across network-connected FPGAs 8 citations
M Güngör, Y Xie, et al.
IEEE Networking & Reconfigurable Hardware
Optimizing FPGA Memory Allocation for Matrix-Matrix Multiplication Using Bayesian Optimization
M Güngör, M Leeser
Northeastern University
View full list on Google Scholar →

Writing & Notes

Technical Blog & Dev Notes

I write about FPGA acceleration, cloud infrastructure, and software engineering at my blog.

blog.gungormehmet.com →

Contact