Advisory Board

Professor Filippo Menczer

Filippo Menczer, Ph.D. is Associate Professor of Informatics and Computer Science and the Associate Director of the Center for Complex Networks and Systems Research at the Indiana University School of Informatics and Computing. He also has courtesy appointments in Cognitive Science and Physics, and is affiliated with the Center for Data and Search Informatics, the Center for Security Informatics, and the Biocomplexity Institute. Finally he is a Fellow-at-large of the Santa Fe Institute and the Lagrange Senior Fellow at the ISI Foundation’s Complex Networks Lab in Torino, Italy.
Research in his group, NaN, focuses on web science, web search and data mining, social web applications, distributed and intelligent web information systems, and modeling of complex information networks.
Fil authored ARACHNID: Adaptive retrieval agents choosing heuristic neighborhoods for information discovery and Complementing search engines with online web mining agents, and coauthored Evaluating Topic-Driven Web Crawlers, Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web, Social Phishing, Feature Selection in Unsupervised Learning via Evolutionary Search, Topical web crawlers: Evaluating adaptive algorithms, and Algorithmic detection of semantic similarity.
Fil earned his Laurea in Physics at the Sapienza University of Rome in 1990. He was research fellow in the Artificial Life Lab, Institute of Cognitive Sciences and Technologies, National Research Council, Rome from 1989 to 1991. Fil earned his M.S. in Computer Science at U.C. San Diego in 1994 and his Ph.D. in Computer Science and Cognitive Science with the thesis “Life-like Agents: Internalizing Local Cues for Reinforcement Learning and Evolution” at U.C. San Diego (AI Lab) in 1998. He has been the recipient of Fulbright, Rotary Foundation, and NATO fellowships, and a Career Award from the National Science Foundation.
Read to search, identify smear tactics, Twitter-bombs through election runup and Phishers can use social Web sites as bait to net victims. Watch Social Web Search. Read his LinkedIn profile.