Meet the Team

Bruce Stuckman, Ph.D.

Bruce Stuckman, Ph.D.

Of Counsel

Bruce Stuckman has been Of Counsel to Garlick & Markison since 2005 and has been a licensed patent attorney since 1993. He holds a B.S. in Electrical Engineering (Magna Cum Laude), an M.S. in Electrical & Computer Engineering, a Ph.D. in Systems Engineering from Oakland University, and a J.D. (Cum Laude) from the University of Louisville where he graduated first in his class.

Bruce focuses on preparing and prosecuting patents in high-tech fields, including telecommunications, electronics, artificial intelligence, quantum computing, web applications and media processing. Bruce has authored and prosecuted over 1000 patents to issuance, many of which have been successfully sold, licensed or litigated. Additionally, Bruce has a strong practice assisting clients regarding the licensing and enforcement of their patent portfolios.

Prior to joining Garlick & Markison, Bruce was Chief Patent Counsel of AT&T while also serving as Vice President & General Counsel of AT&T Knowledge Ventures, an IP subsidiary he co-founded. Bruce has published more than seventy articles and has been invited to lecture over fifty times at professional symposia. In 2005, he was named a Fellow of the National Knowledge and Intellectual Property Management Taskforce. He is a co-author of Business Power: Creating New Wealth from IP Assets, John Wiley & Sons, 2007.

Prior to practicing law, Bruce was a tenured Associate Professor of Electrical Engineering at the University of Louisville and a technical consultant to organizations such as General Motors, British Petroleum, and the U.S. Government.  Bruce is himself an inventor on over 100 issued US patents.  The DIRECT search AI algorithm he co-developed in 1993 is still in use by researchers world-wide in thousands of applications in fields as diverse as quantum computing, medical imagery, microbiology, circuit design, optimization, particle physics and cloud computing.  A set of functions Bruce developed for evaluating global optimization techniques are referred to in recent textbooks as the “Stuckman function”.