Fengbo Ren

Professor Fengbo Ren is building collaborative efforts in the School of Computing and Augmented Intelligence at Arizona State University, where he serves as an Associate Professor. His work is at the forefront of algorithm, hardware, and system innovations, particularly in the realm of data analytics and information processing. Professor Ren's research is dedicated to enhancing energy efficiency and data intelligence across a variety of computing infrastructures, including data center server systems, wearable devices, and Internet-of-things devices. Throughout his career, Professor Ren has been recognized for his contributions to the field. He was awarded the prestigious Broadcom Fellowship in 2012, an honor that underscored his potential in advancing technological innovations. In 2017, he received the NSF Faculty Early Career Development (CAREER) Award, which further highlighted his commitment to pioneering research and education. The following year, his work was acknowledged with the Google Faculty Research Award, reflecting the impact of his research on industry practices. In addition to his research achievements, Professor Ren is actively involved in the academic community as a senior member of both IEEE and ACM. His affiliations with these leading professional organizations demonstrate his dedication to advancing the field of computing and fostering collaboration among researchers and practitioners. Professor Ren's contributions extend beyond his research, as he is committed to mentoring the next generation of computer scientists. His efforts in education and mentorship are aimed at equipping students with the skills and knowledge necessary to tackle the challenges of modern computing environments. Through his work, Professor Ren continues to push the boundaries of what is possible in computing, driving innovation and efficiency in an ever-evolving technological landscape.