Amir Jafari

photo of Amir Jafari

Amir Jafari

Assistant Professor of Data Science


Contact:

Email: Amir Jafari
Office Phone: (202) 994-1239
Corcoran & Samson Halls 725 21st Street, NW and 2036 H Street, NW Washington DC 20052

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.


Deep Learning, Machine Learning, Neural Network Design, Natural Language Processing, Computer Vison, Complex Modeling, Time Series, Non-Linear Control Systems

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.

DATS 6103: Introduction to Data Mining, D.S. Program, (Graduate Course)

DATS 6202: Machine Learning 1, D.S. Program, (Graduate Course)

DATS 6303: Deep Learning, D.S. Program, (Graduate Course)

DATS 6401: Data Visualization, D.S. Program, (Graduate Course)

DATS 6450: Cloud Computing, D.S. Program, (Graduate Course)

DATS 6501: Data Science Capstone D.S. Program, (Graduate Course)

DATS 6312: Natural Language Processing D.S. Program, (Graduate Course)

PhD, Oklahoma State University