The GPU Computing Research Laboratory focuses on software design and development for high performance computing, primarily focusing on the use of General-Purpose GPU Computing or GPGPU Computing to achieve high performance computation.
Dr. Alawneh recently received the 2021 School of Engineering and Computer Science Outstanding Teaching Award
Dr. Alawneh has been granted the NVIDIA Deep Learning Institute (DLI) University Ambassadorship and the Instructor Certification
Director: Shadi Alawneh, Ph.D., SMIEEE
Associate Professor
Electrical and Computer Engineering Department
Engineering Center, Room #434
Oakland University
Rochester, MI 48309-4478
P: (248) 370-2242
E: shadialawneh@oakland.edu
EXPERTISE:
- General-Purpose Computing on Graphics Processing Units (GPGPU)
- Software Development for High Performance Computing
- Parallel Processing Architecture and Applications
- Simulation
- Software Design and Specification
RESEARCH INTERESTS:
- General-Purpose Computing on Graphics Processing Units (GPGPU)
- Software Development for High Performance Computing
- Autonomous Driving
- Machine Learning
- Embedded System Design with GPUs
- Software Optimization
- Numerical Simulation and Modeling
- Software Design Analysis
- Software Testing
- Formal Specifications
