IMUBIT

Machine Learning for Manufacturing Process Optimization
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Imubit has invented a new paradigm for the process industry.
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Leadership

Gilad Cohen | CEO

Gilad leads the vision and business strategy of Imubit, as well as the product definition and market interaction. Before Imubit, Gilad founded and led Cigol, a specialized hardware and firmware security contractor. Gilad had bootstrapped Cigol from scratch into a leading security project and service provider in the aerospace market. As part of his academic research, Gilad has published several IEEE conference papers on joint registration and segmentation of elastically deformable multi-dimensional objects. Gilad has over 15 years of experience in hardware, software, system and algorithm design, and holds a BSc and MSc in Electrical Engineering, as well as a BSc in Mathematics, all Cum Laude, from Ben Gurion University.

Meir Tseitlin | Chief Architect

Meir is responsible for the scalable architecture of Imubit’s solution from bits in the hardware to Petabytes in the cloud. Prior to Imubit, Meir was the chief software and security architect at Cigol, where he defined the architecture of complex homeland security critical software security infrastructure. Meir has over 15 years of extensive R&D experience in development of embedded and cloud based security software, including deep knowledge of cyber-crime arena. In recent years, Meir has gained hands-on experience hacking and reverse engineering nearly every type of hardware sensor. Meir holds a BSc in Computer Science from Ben Gurion University.

Nadav Cohen | Chief Scientist

Dr. Nadav Cohen is responsible for the algorithms at the heart of Imubit’s technology. He is a research scholar at the Institute for Advanced Study in Princeton, studying the theoretical and algorithmic foundations of deep learning. Nadav earned his PhD at the School of Computer Science and Engineering in the Hebrew University of Jerusalem. Prior to that, he obtained a BSc in Electrical Engineering and a BSc in Mathematics (both summa cum laude) at the Technion Excellence Program for distinguished undergraduates. For his contributions to the theoretical understanding of deep learning, Nadav received a number of awards, including the Google Doctoral Fellowship in Machine Learning, the Rothschild Postdoctoral Fellowship, and the Zuckerman Postdoctoral Fellowship.

Zoran Milosevic | Resident Expert - Process Technologies

Dr. Zoran Milosevic works closely with the team on product development for the process industry. He is an internationally renowned authority in the fields of oil refining, energy efficiency, energy conservation, and profit improvement in oil refining and petrochemical industries. For the last 25 years, Dr. Milosevic served as distinguished petrochemical consultant at KBC Process Technology. During that time he conducted over 60 refinery profit optimization projects with $50m average annual ROI. Dr Milosevic is Visiting Professor at the Faculty of Engineering and Physical Sciences at the University of Surrey.