
| Office: | Maxwell Dworkin 331 |
| Email: | michaelm [ AT ] seas [ DOT ] harvard [ DOT ] edu |
| Office Phone: | (617) 496-7172 |
| Office Fax: | (617) 496-5508 |
| Assistant: | Phyllis Gorman |
| Office: | Maxwell Dworkin Building 143 |
| Email: | pgorman [ AT ] seas [ DOT ] harvard [ DOT ] edu |
| Office Phone: | 617/496-8360 |
Professor Mitzenmacher's research focuses on developing randomized algorithms and analyzing random processes, especially for large, distributed computer networks such as the Web.
He develops mathematical tools and methods to analyze complex systems and uses them to solve problems that arise in real applications. For example, he has analyzed simple randomized load balancing schemes for distributed systems such as banks of processors used to host Web services.
This analysis also applies to new hashing schemes. Hashing is a fundamental method for organizing and accessing data, so his analysis may prove effective for several applications. He is currently working on a paper showing how a new hashing scheme can improve current methods for IP routing (the standard protocol for routing data over the internet).
Professor Mitzenmacher has also worked to create new classes of erasure and error-correcting codes. Besides having novel theoretical properties and requiring a sophisticated mathematical analysis, the erasure codes are well-suited for distributing bulk data such as movies or software over the Internet.
He has also co-developed the theory of min-wise independence, which provides a mathematical framework for finding syntactically similar documents in a large collection of documents. The theory is applied in search engines to avoid storing multiple approximate copies of a document, reducing storage needs by about 30%. Recently, he has studied random walks on the Web and shown how they can be used to measure the size and quality of search engine indexes.
Harvard School/Division of Engineering and Applied Sciences
Digital Systems Research Center, Palo Alto, CA
Consulting
Mitzenmacher CV.pdf
—
PDF document,
132Kb