Office: University Crossings
- Ph.D. Computer Science, University of Waterloo
- M.S. Computer Science, University of New Mexico
- B.S. Mathematics, Queen's University
Algorithms for decentralized networks that yield provable guarantees with respect to fault tolerance and performance.
Dr. Maxwell Young is an Assistant Professor of Computer Science at Drexel University. After completing his undergraduate studies in mathematics at Queen's University (Canada) and his master's studies in computer science at the University of New Mexico (USA), Dr. Young obtained his Ph.D. in computer science from the University of Waterloo (Canada) in late 2011. Following his graduate studies, he spent one year as a Research Fellow at the National University of Singapore, and later was a Postdoctoral Fellow at the University of Michigan, Ann Arbor. Dr. Young’s research addresses the challenges of designing scalable and robust distributed systems where many of the participants are unreliable or even malicious in nature. This work deals with the intersection of security and distributed computing, and often leverages randomized analyses and cryptographic techniques to obtain algorithms with provable guarantees even in the presence of very powerful attacks. Dr. Young has published papers at prestigious peer-reviewed conferences such as the ACM Symposium on Principles of Distributed Computing (PODC) and the IEEE International Conference on Distributed Computing Systems (ICDCS), and in top focused journals such as Transactions on Networking (ToN) and Algorithmica.