Profile of an Article One Patent Researcher: Yossi Shain (yshain)
Posted on Tue, Jun 22, 2010
Researcher Yossi Shain (yshain) lives in Israel and has been involved in the semiconductor industry for the past fifteen years. For the bulk of that time, he was involved in R&D commercializing parallel processing arrays based on content addressable memory, for video and 3d graphics. In his current capacity as IPR manager of Neonode Technologies, Yossi works with Soquel Group, who referred him to Article One. Yossi has authored several patents, including novel methods for addition and subtraction using content addressable memory cells.
Yossi is a liberal-arts enthusiast (and amateur tennis player), who arrived at engineering in the course of his work. He attended the School of Visual Arts, Juilliard, and City University of New York, before he began drafting patent applications for a patent attorney in 1996. Two years into that job, he was asked by an inventor to join his semiconductor start-up as a technical writer. As he became proficient in the company's technology, Yossi began giving technology seminars to engineers at large multinational corporations and was invited several times to guest lecture in the Tel Aviv University MSEE program. Yossi then joined Neomagic and became a software engineer and in-house guru for porting algorithms to the company's unique hardware, eventually managing a team that developed a 3d graphics library for the company's processor. Two years ago Yossi began working for Neonode, a small mobile phone start-up in Stockholm, Sweden, where he is IPR manager.
When conducting research for Article One Studies, Yossi's familiarity with the technology landscape directs his search. He is very involved in mobile handset hardware, from SoC chips to touch screens. Yossi says, "Article One had a great idea to apply a social network model to harness the wealth of experience and knowledge out there and I am happy to be a part of this. Actually, it's the first social network scheme that I have seen successfully applied to deriving tangible results in any field. I am confident this model has exciting potential in many fields and look forward to watching how it develops across different industries."