Members
Syed Mohsin Shah
MSc Student, Electrical Engineering (2024-2026)
Designs hardware accelerators for deep neural networks, with an emphasis on improving resource utilization, performance and computational efficiency.
Saghar Emami
MSc Student, Electrical and Computer Engineering (2024-present)
Builds efficient, application-specific computer vision for real-world scenes, including a coarse-to-fine framework that reads hazardous material placards in real time on edge hardware.
Dorsa Robatjazy
MSc Student
Applies deep learning to medical imaging, building models that read diagnostic images.
Muhammad Fahad
MSc Student, Electrical Engineering (2024-present)
Designs energy-efficient hardware for AI, including a runtime-reconfigurable multi-precision posit multiplier and FPGA neural network accelerators.