About

Bibliography:

Amir Jafari is an Assistant Professor of the GW Data Science program. He is also a Google Cloud Faculty Expert. He has been conducting research in the areas of neural network design, statistical modeling, artificial intelligence, and predictive modeling for the last ten years. His research has encompassed a variety of application areas: machine learning, deep learning, artificial intelligence, natural language processing, statistical modeling, signal processing, dynamic systems, recurrent neural network, training, and optimization.

In recent years, his research has been focused on the use of neural networks for data science applications, time-series predictions, natural language processing, deep learning network architectures, and training a big data on GPUs.

Education:

• Ph.D., Electrical and Computer Engineering, Oklahoma State University

• M.Sc., Mechatronic, American University of Sharjah

• B.Sc., Electrical and Electronics Engineering,

Experience:

• Assistant Professor, The George Washington University, Washington, DC, 20052

• Visiting Professor, The George Washington University, Washington, DC, 20052

• Adjunct Assistant Professor, The George Washington University, Washington, DC, 20052

• Google Faculty Expert ---Present

• Training Instructor, HPSI Washington, DC, 20052

• Visiting Research Scholar, Oklahoma State Univ., Washington DC.

• Lab Assistant,College of Engineering, Architecture and Technology, Oklahoma State Univ., OK.

• Graduate Research Assistant, Oklahoma State Univ., OK

• Graduate Teaching Assistant, American Univ. of Sharjah, UAE.

• Supervisor of Mechatronics Lab, American Univ. of Sharjah, UAE.

• Computer Specialist, Ram Industrial Group, RAM, Iran,