“I am elated to be working with Dr. Kohn again”, said Sean Brehm, Chairman & CEO of CrowdPoint. “Dr. Kohn and I wrote a paper in 2015 about analytic tomographs and the potential for optimization on networks. To have the opportunity to work with him on applying these concepts on the blockchain has me excited to get up and work each day”.
Dr. Kohn focuses his work and research on extending hybrid systems to quantum control andrule-based multi-criteria optimization and inferencing.
Dr. Kohn joins CrowdPoint from Veritone, Inc. (NASDAQ: VERI), a leading provider of artificial intelligence (AI) technology and solutions, where he served as Chief Scientist and developed CDI applications. Dr. Kohn will continue to serve on the Company’s Technical Advisory Board.
In the past, Dr. Kohn served as the Head of Research for High-Speed Trading at SEQA Capital Advisors, LP. Previously, he was the Co-founder, Chief Scientist, and Director at Clearsight Systems; Co-founder of Kohn-Nerode, Inc; and, Chief Researcher at Lockheed Corporation at NASA Johnson Space Center. In addition, Dr. Kohn has 25 patents and has authored four books and over 300 papers in optimal hybrid control and quantum control, estimation and learning systems, and architectures. He is currently working on a book on metacontrol.
Dr. Kohn received his M.S. and Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.
Before entering the private sector, Dr. Kohn served as Professor of Electrical Engineering at Rice University and as Professor in Industrial and Systems Engineering at the University of Washington. He recently joined the faculty of Drexel University.
“I am truly excited to join this team”, said Dr. Kohn. “Sean and I are long-time colleagues and I jumped at the opportunity to help improve blockchain performance through optimization and inferencing”. Dr. Kohn brings tremendous energy and experience to CrowdPoint. He completed work on building scalable and programmable multifrequency, multi-blockchain forecasters for value and risk to define optimal compute cycles in his first month. This is crucial for the performance of vast, highly distributed blockchain systems, which tend to be resource-intensive, and thus both expensive and environmentally inefficient.
Dr. Kohn’s advances in optimization homogenize the 11 publicly traded market sectors. It establishes a cross-sector financial metric to assess investment performance within a private blockchain financial ecosystem by forecasting the return of the tokenized portfolio relative to a digital asset acting as a risk-free rate and dividing it by the standard deviation of the portfolio’s excess returns. He and his team will provide public and private financial markets with a forecasted measurement of the instrument’s volatility.
Additionally, Dr. Kohn will help drive improved commerce transactions using big data and blockchain as part of a shared services department within the company.
Media Release 26 November 2021.