Machine learning, a subfield of artificial intelligence, focuses on developing algorithms and statistical models that improve computers’ performance on specific tasks by learning from data — eliminating the need for human input to change the programming.
Shuaifeng Jiang and Hao Luo, electrical engineering doctoral students in the Ira A. Fulton Schools of Engineering at Arizona State University, received a 2023 Qualcomm Innovation Fellowship for their work to improve wireless communications performance using machine learning.
Jiang and Luo presented their proposal, based on their research in ASU’s Wireless Intelligence Lab under Ahmed Alkhateeb, an assistant professor of electrical engineering in the Fulton Schools, to a panel of Qualcomm experts who ranked students’ applications and presentations in a competitive process. The ASU students’ success in securing the fellowship reflects Qualcomm’s recognition of the significance of their research and its alignment with the company’s vision for communication systems using 6G and future generations of wireless technology.
The Qualcomm Innovation Fellowship focuses on creating and supporting opportunities for doctoral students to explore new ideas and aims to instill an entrepreneurial mindset in participants from top universities in North America. This includes having students’ ingenuity be recognized by industry professionals such as those with
The fellowship program provides each winner with a yearlong award including $100,000 in funding, mentorship from Qualcomm engineers and experiences for students to move toward turning their proposals into functioning products. This year, members of 18 teams were selected as fellows.