Our Team
Learn about how our unique combination of experience and training in machine learning, app development, and strategy can help grow your business.
Mohamed Hegab
Founder, Principal Data Scientist
Mohamed holds a Ph.D. in Engineering from North Dakota State University and specialized in quantitative project management for over two decades with a number of licenses in engineering and management. Prior to founding Ez Checkin, Mohamed founded and led two software and project management companies. He has also served as a consultant to a number of multimillion dollars projects . Mohamed integrates his training in engineering, management, and statistics to both design and implement effective solutions for businesses of all sizes to help companies’ successes..
Usman Ghali
Data Scientist
Usman holds his Ph.D. in Computer Science from The University of Sheffield, UK. Over 15 years of research experience specifically in the areas of image processing, computer vision, bioinformatics, medical imaging, computational linguistics, and machine learning. Usman lead artificial intelligence teams for multiple projects for multiple areas of the industry.sizes. Usman is an expert in Computer Vision and Natural language Processing (NLP) in addition to other fields of machine learning.
Jordon Wood
Data Scientist
Jordon holds his Ph.D. in Computer Science from The State University of New York. Jordon’s research focuses on Data Science, Artificial Intelligence, Predictive Analytics, Large-scale Machine Learning, Data Analytics for Healthcare, Risk Prediction for Healthcare applications, mHealth, and wireless Health. Jordon is working on Big Data Analytics, Large-scale Machine Learning techniques for Risk Prediction, Predictive Analytics, and Data-driven approaches for Healthcare. He performed an extensive number of projects in machine learning, deep learning, and computer vision.
Steve Clark
Data Scientist
Steve holds his Ph.D. in Computer Science from University of Toronto, Canada. Steve focuses on Data Science, Artificial Intelligence, Data Analytics of automotive and transportation sectors. Worked on several engineering projects that span a broad range of applications including urban mobility, connected vehicles, demand and supply management, and telematics. He applies information and communication technologies to solve cities’ problems and the improve the quality of decision making in large metropolitan areas.
Hassan Najad
Data Scientist
Hassan holds his Ph.D. in Computer Science from North Dakota State University. For two decades, he is specialized in artificial intelligence. He is an expert in data analytics including classification learning, clustering analysis, association rule discovery, outliers detection, recommendation systems in different applications and fields. He performed an extensive number of projects in machine learning and deep learning. In his research, he applied data science approaches in stock prediction, software cost prediction, sentiment analysis of customer satisfaction in various application.
Ed Barnes
Data Scientist
Ed has a Ph.D. in Applied Mathematics and Statistics from the University of Alabama at Birmingham. Ed has over a decade of experience with scientific modeling, predictive analytics, computational statistics and the applications of projective geometry onto computer vision and 3D reconstruction in fields spanning theoretical physics, transportation, neuroscience, and telecommunications. Ed is an expert in using machine learning in statistical and predictive models; in using computer vision and neural networks for object recognition and tracking; and in engineering applications.