Ira Cohen

Ira Cohen, is the Founder & Chief Data Scientist at Anodot. He is an industry-leading expert in the development and application of statistical machine learning for solving business challenges. He has extensive experience leading R&D teams in formulating technological innovations all the way through business validation and actual implementation.

He has proven academic and industrial leadership in the areas of machine learning and statistical modeling and video analysis, specifically classification, semi-supervised learning, Bayesian Network classifiers and adaptive temporal modeling.

Prior to founding Anodot, Ira served as chief data scientist at Hewlett-Packard. He holds a bachelor’s degree in electrical and computer engineering from Ben Gurion University of the Negev and an MSc and PhD in electrical and computer engineering from the University of Illinois at Urbana-Champaign. He has also led research teams from UC Berkeley and Stanford University.

Ira Cohen states in his LinkedIn Profile: Experience leading of advanced research and development teams, from new technological innovations all the way through business validation and actual implementation.

Proven academic and industrial leadership in the areas of Machine learning and statistical modeling and video analysis; classification, semi-supervised learning, Bayesian Network classifiers and adaptive temporal modeling.

Expert in the application and development of statistical machine learning to real world problems.

Areas of contributions: characterization and control of complex computer systems, text and semi-structured data analysis, Human Computer Intelligent Interaction, object detection, event detection, video and audio analysis, data mining and computer vision.

Specialties: Machine Learning, computer vision, classification, clustering, text analysis, temporal analysis, Bayesian networks, semi-supervised learning methods, Automation methods for IT operations management.