EE 58009 · Fall 2026-2027

Machine Learning for Communication Systems

Supervised, unsupervised, and reinforcement learning applied to modern communication systems — traffic classification, channel estimation, resource management, and ML-based optimization in 5G/6G networks.

Instructor: Çağlar Tunç
EE 5807 · Fall 2026-2027

Special Topics in EE: Millimeter-Wave and Terahertz CMOS

Wireless link budgets, mmWave/THz CMOS transceivers for ultra-high data-rate links, phased arrays and THz radiators, and the active/passive devices that make millimeter-wave and THz circuits possible.

Instructor: Korkut Kaan Tokgöz
EE 58012 · Fall 2026-2027

Special Topics in EE: Security, Privacy and Robustness in Machine Learning

Security and robustness of deep neural networks — adversarial examples, backdoor attacks, federated learning, Byzantine robustness, and differential privacy, with hands-on work in PyTorch.

Instructor: Emre Özfatura