This gives them the power to make an operating system and suite of apps that are tailor-made and optimized for their hardware. The company designs its own hardware and software. Over the years key successes include the iPhone, iPad, iPod, and the MacBook Air. Apple make great looking (albeit expensive) hardware. There are many things to admire about Apple’s hardware and software.
Their dominance is so broad they account for more than 20% of the S&P 500. In 2003, he received the AACC Ragazzini Education award, for contributions to control education, with citation: “For excellence in classroom teaching, textbook and monograph preparation, and undergraduate and graduate mentoring of students in the area of systems, control, and optimization.Apple, Microsoft, Alphabet (Google’s parent), Amazon and Facebook dominate the tech landscape. In 1994 he received the Perrin Award for Outstanding Undergraduate Teaching in the School of Engineering, and in 1991, an ASSU Graduate Teaching Award. In addition to teaching large graduate courses on Linear Dynamical Systems, Nonlinear Feedback Systems, and Convex Optimization, Professor Boyd has regularly taught introductory undergraduate Electrical Engineering courses on Circuits, Signals and Systems, Digital Signal Processing, and Automatic Control. In 1993 he was elected Distinguished Lecturer of the IEEE Control Systems Society, and in 1999, he was elected Fellow of the IEEE, with citation: “For contributions to the design and analysis of control systems using convex optimization based CAD tools.” He has been invited to deliver more than 30 plenary and keynote lectures at major conferences in both control and optimization. Eckman Award, which is given annually for the greatest contribution to the field of control engineering by someone under the age of 35. Professor Boyd has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and an IBM faculty development award. Balakrishnan, 1994), and Convex Optimization (with Lieven Vandenberghe, 2004). Professor Boyd is the author of many research articles and three books: Linear Controller Design: Limits of Performance (with Craig Barratt, 1991), Linear Matrix Inequalities in System and Control Theory (with L. He holds an honorary doctorate from Royal Institute of Technology (KTH), Stockholm. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Qinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, and Harbin Institute of Technology. In 1985 he joined the faculty of Stanford’s Electrical Engineering Department. Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. His current research focus is on convex optimization applications in control, signal processing, and circuit design. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University.
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