Company Filing History:
Years Active: 2009-2014
Title: Howard Taitel: Innovator in System-Level Design Environments
Introduction
Howard Taitel is a prominent inventor based in Sudbury, MA (US). He has made significant contributions to the field of system-level design environments, holding a total of 8 patents. His innovative work focuses on enhancing the functionality and efficiency of graphical models.
Latest Patents
Taitel's latest patents include tools designed for system-level design environments. One of his notable inventions is a remote auxiliary tool that is created within a graphical model, which can include signals or blocks. This remote auxiliary tool is designed to be non-intrusively attached to either a signal or a block, allowing for synchronous execution of both the graphical model and the remote tool. The results from either the execution or the remote tool can be output to various devices, such as display or storage devices. Another patent involves remote auxiliary tools that facilitate non-intrusive and synchronous interaction with graphical models. These tools can connect to the graphical model without requiring additional components, and they can operate in various modes, including observer, bypass, and generator modes.
Career Highlights
Howard Taitel is currently employed at The MathWorks, Inc., where he continues to develop innovative solutions in system-level design. His work has significantly impacted the way engineers and designers interact with graphical models, making the design process more efficient and effective.
Collaborations
Throughout his career, Taitel has collaborated with notable colleagues, including Donald Paul Orofino, II and Ramamurthy Mani. These collaborations have further enriched his work and contributed to advancements in the field.
Conclusion
Howard Taitel's contributions to system-level design environments through his innovative patents and collaborative efforts have established him as a key figure in the field. His work continues to influence the development of tools that enhance the efficiency of graphical modeling.