Rate My Professor Shamshad Ansari

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.