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Dr. Michael Green is dedicated to advancing knowledge in the field of electrical engineering and computer science, serving as an associate dean for undergraduate student affairs and a professor at the University of California, Irvine. With a robust academic background, Dr. Green earned his Bachelor's degree from UC Berkeley, followed by a Master's and Ph.D. from UCLA, all specializing in electrical engineering. His scholarly pursuits are deeply rooted in the theory of nonlinear circuits, high-speed broadband communications, and the design of analog/mixed-signal integrated circuits. Dr. Green's research is particularly focused on developing innovative solutions in integrated filters and enhancing the efficiency of high-speed broadband communication systems. His work in nonlinear circuits theory has contributed significantly to the understanding and advancement of complex circuit designs, making him a respected figure in his field. His commitment to research excellence is reflected in the numerous accolades he has received, including the prestigious Guillemin-Cauer and W.R.G. Baker prizes in 1993. In addition to his research, Dr. Green is passionate about education and mentorship, playing a pivotal role in shaping the academic journey of undergraduate students at UC Irvine. His dedication to student affairs ensures that the next generation of engineers is well-prepared to tackle the challenges of the rapidly evolving technological landscape. Through his leadership, Dr. Green fosters an environment that encourages innovation, critical thinking, and collaboration among students and faculty alike. Dr. Green's contributions extend beyond academia, as he actively collaborates with industry partners to bridge the gap between theoretical research and practical applications. His work has not only advanced the field of electrical engineering but has also had a tangible impact on the development of cutting-edge technologies. As a thought leader, Dr. Green continues to inspire both his peers and students, driving forward the boundaries of what is possible in engineering and technology.

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