Tianyi Chen

Dr. Tianyi Chen leads impactful research in the field of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI). As an Assistant Professor, he is dedicated to advancing the theoretical and algorithmic foundations of optimization, machine learning, and statistical signal processing. His work is particularly focused on applications in networked systems, wireless networks, and low-precision computing, where he explores innovative solutions for learning with limited data supervision and AI acceleration. Dr. Chen completed his Ph.D. at the University of Minnesota in 2019, where he laid the groundwork for his distinguished career in research. His contributions to the field have been recognized with several prestigious awards, including the IEEE Signal Processing Society Best PhD Dissertation Award, the NSF CAREER Award, and the Amazon Research Award. These accolades underscore his commitment to excellence and innovation in his research endeavors. In addition to his research, Dr. Chen is passionate about mentoring the next generation of engineers and scientists. He actively engages with students and colleagues to foster a collaborative and dynamic learning environment. His teaching philosophy emphasizes the integration of theory and practice, preparing students to tackle complex challenges in the ever-evolving landscape of technology and engineering. Dr. Chen's research interests span a broad spectrum, including learning with limited data supervision, optimization, AI acceleration, and statistical signal processing. His work has significant implications for the development of efficient and robust systems in various applications, from networked systems to wireless networks. Through his research, Dr. Chen continues to push the boundaries of what is possible in the realm of machine learning and signal processing, contributing to the advancement of technology and its applications in society.