Lu Su

Dr. Lu Su is a renowned researcher in the fields of wireless and mobile systems, data mining, and the Internet of Things. He is currently an Associate Professor in the School of Electrical and Computer Engineering at Purdue University. Dr. Su's academic journey began at the University of Illinois at Urbana-Champaign, where he earned his Ph.D. in Computer Science and an M.S. in Statistics, equipping him with a robust foundation in both theoretical and applied aspects of computing and data analysis. Dr. Su's research interests are diverse and cutting-edge, encompassing the Internet of Things, cyber-physical systems, and crowd sensing systems. His work also delves into big data and cloud computing, where he explores innovative methods to harness vast datasets for practical applications. In addition, Dr. Su is deeply engaged in the fields of machine learning, security, and privacy, striving to develop systems that are not only intelligent but also secure and respectful of user privacy. Before his tenure at Purdue University, which began in 2021, Dr. Su was an Associate Professor in the Department of Computer Science and Engineering at SUNY Buffalo. His academic career is complemented by his industry experience, having worked at the IBM T. J. Watson Research Center, where he contributed to pioneering research and development projects. Additionally, his time at the National Center for Supercomputing Applications provided him with invaluable insights into high-performance computing environments. Dr. Su's contributions to the academic community are significant, with numerous publications in prestigious journals and conferences. His work has not only advanced theoretical understanding but has also led to practical implementations that address real-world challenges. His research has been recognized for its impact and innovation, earning him accolades and funding from various esteemed institutions. In addition to his research, Dr. Su is committed to teaching and mentoring the next generation of engineers and scientists. He is known for his engaging teaching style and his ability to inspire students to pursue excellence in their academic and professional endeavors. Through his mentorship, many of his students have gone on to successful careers in academia, industry, and research.