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Michael Fischer is a Professor at Yale University in the Department of Computer Science. He has made significant contributions to the fields of cryptographic protocols security, parallel distributed systems, and discrete algorithms. Notably, Fischer's work on the distributed consensus problem and the 'parallel prefix' algorithm has laid the groundwork for essential parallel algorithms, particularly in the area of data processing. He has guided numerous Ph.D. dissertations focusing on secure verifiable electronic voting systems since the mid-1980s and has developed information-theoretically secure cryptographic systems based on random card deals. Currently, Fischer's research includes the study of trust from an algorithmic perspective, aiming to enable e-commerce systems to autonomously learn and utilize trust relationships. Additionally, Fischer chairs the International Scientific Advisory Board at the Max-Planck-Institute for Computer Science in Saarbrücken, Germany, and serves as a Guest Professor at Wuhan University. He is also a member of the Academic Committee of the State Key Laboratory on Software Engineering in Wuhan, China, and has served on the editorial board of Acta Informatica. Fischer is an ACM Fellow and has held positions such as Editor-in-Chief of the Journal of the ACM and is a founding member of the Computing Research Association's subcommittee on the Status of Women in Computer Science.
Yale University • New Haven, CT
Teaching and conducting research in the Department of Computer Science.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.