Stony Brook College of Business Innovation Center News

A pitch session was held recently as a step in turning inventions from federally funded research into marketable innovations.  Scientists from Brookhaven National Lab (BNL) pitched early plans for energy innovations to the board of the Clean Energy Business Incubator Program (CEBIP) meeting on campus at the Long Island High Tech Incubator.  

Five BNL scientists last summer were the winners among twenty BNL scientists who took up the opportunity of pitching an energy innovation to the U.S. Department of Energy later in the fall. Through Poornima Upadyha, CoB alumna and director the BNL technology transfer office. they started but have not completed the patent application process. These BNL scientists received startup plan coaching from CEBIP Director David Hamilton.

These twenty minutes, early stage, pre-seed pitches using PPT were rated by the CEBIP board members on ten dimensions ranging from market need, competitors, and customers to needed financing. The CEBIP board consists of a total of ten LI energy executives and SBU faculty experts.  Feedback gave each scientist direction for improving the pitch to Department of Energy for funding.

One pitch described a high-speed computer that only recognizes patterns. This focused desktop computer can replace a football field of unspecialized computers. It was developed to find new matter based on patterns in physics particle data produced at CERN in Switzerland. The business applications of this computer would be pattern recognition applied to security, marketing, or financial data.  

A second one was based on measuring Lignin from poplar trees that inhibits the production of useful biomass fuel. Implications are the reduction of Lignin by growing bio-modified poplar trees that increase the amount of biomass that can be processed into biofuel. This startup requires new forests for bio-modified poplar trees and their management. The development of partners was the focus.

The third one was weather data analysis software. Used for global climate change predictions, it is adapted to predict specific local weather disasters for utility company’s recovery planning. Correlation analysis of geographically specific damage from a storm with prior weather conditions needs to be documented. The results of the research of the weather prediction would determine utility company interest in this service compared to other similar ones.

The fourth one suggested a better battery for the electric car market. The technology for the battery produces more power, at a lower weight, and cost of production. The competition is high and a partnership is the desired route.

The final one described wireless sensors connected to a central control for monitoring the health of a network of solar photovoltaic collectors. This could be an aftermarket device for present solar collectors or built into new ones. These are two different markets that assume that there are wide spread defective collectors that cost more than the cost of system monitoring.

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Stony Brook University College of Business, Stony Brook, NY 11794-3775

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