
Makes even hard topics easy to grasp.
Brings real-world insights to the classroom.
Fosters a love for lifelong learning.
I truly appreciated how approachable and understanding you were. You made it easy to ask for help and always responded with kindness.
Shamshad Ansari is an Adjunct Professor in the Data Analytics Engineering department of the Volgenau School of Engineering at George Mason University, where he teaches graduate-level courses in machine learning, natural language processing, data analytics, and computer vision. He earned a bachelor’s degree in engineering from Birla Institute of Technology Sindri and a master’s degree in computers from the Indian Institute of Information Technology and Management Kerala. In parallel to his academic appointment, Ansari founded and serves as President and CEO of Accure, Inc., an AI company specializing in innovative solutions. Recognized as a thought leader with over 25 years of experience, his expertise spans computer vision, machine learning, artificial intelligence, and cognitive science, influencing both industry and academia through practical applications and educational contributions.
Ansari's key publication is the book Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python, published by Apress in its first edition in 2020 and second edition in 2023; it was selected as one of the top 10 books on computer vision by bookauthority.org. He has authored additional works on machine learning, RFID technologies, and high-scale enterprise computing, including Java & RFID Tags in Dr. Dobb's Journal (2005) and From Concept to Creation: Building Data Science and AI Solutions Without Coding (2024). Ansari holds four U.S. patents related to healthcare AI: Intent-based Clustering of Medical Information (US 20150370972A1), Medical Information Navigation Engine (MINE) System (US 20120060216A1), Systems and Methods for Patient Retention in Network Through Referral Analytics (US 20130262144A1), and Systems and Methods for Event Stream Platforms Which Enable Applications (US 9639662B2). He has collaborated on research such as Potential for Using Deep Learning for Digital-Twin System Validation with faculty from George Mason University's Data Analytics Engineering program. Through his teaching and publications, Ansari impacts the field by providing hands-on resources for developing AI and data analytics skills.