Weiwen Jiang

Weiwen Jiang is a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University. He embarked on his academic journey at Mason in 2021, following the completion of his PhD in Computer Science from Chongqing University in 2019. With a keen interest in the intersection of hardware and software, Jiang's research primarily revolves around the co-design of neural networks and hardware accelerators, including mobile devices, FPGA, and ASIC. Jiang has made noteworthy contributions to the field, particularly in demonstrating quantum advantage for neural networks within the realm of quantum computing. His innovative work has been recognized and published in several esteemed journals and conferences, reflecting the impact and significance of his research endeavors. Among his accolades, he received the Best Paper Award at ICCD 2017, underscoring the quality and originality of his work. In addition to his research, Jiang is actively engaged in collaborations with both academic societies and industry partners. His interdisciplinary approach to research allows him to bridge the gap between theoretical advancements and practical applications, fostering innovation and progress in the field of electrical and computer engineering. Jiang's dedication to advancing the field is evident through his continuous efforts to explore new frontiers in hardware and software co-design. His work not only contributes to the academic community but also holds potential for real-world applications, particularly in enhancing the efficiency and performance of neural networks and hardware systems. As an educator, Jiang is committed to mentoring the next generation of engineers and researchers. He strives to inspire his students by integrating cutting-edge research insights into his teaching, preparing them to tackle complex challenges in the ever-evolving landscape of technology.