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Xiaofeng Feng is an Assistant Professor at Purdue University in the Department of Computer Science. His research interests encompass algorithms and data structures, with a particular focus on optimization methods that improve efficiency in computational settings. Dr. Feng has a prolific publication record with numerous contributions to peer-reviewed journals and conferences in the field of computer science. His work often intersects with machine learning and artificial intelligence, where he explores innovative techniques to enhance algorithm performance. Dr. Feng is also dedicated to teaching and mentoring students, guiding them through advanced topics in computer science while promoting a practical understanding of theoretical concepts.
GRE is not required.