Research

Research in my group, NaN, addresses the challenges posed by scalable Web, text, and data mining applications. We aim to integrate machine learning approaches such as evolutionary computation and neural networks with the bottom-up ideas of artificial life and distributed Web searching agents to design adaptive and autonomous systems that can help us solve such problems. We also use the analytical and modeling tools of complex systems to attack problems in collaborative Web search, information management, Internet security, electronic commerce, computational economics, and biology.

Ongoing Projects

• Web Topologies: mining and mapping the semantics of document networks*
• Sixearch: 6S is a social peer network for distributed adaptive Web search*
• GiveALink: Building a social semantic network from donated Web bookmarks
• InfoNet: coevolving networks in complex information ecologies
• Behavioral networks: analysis of Internet traffic, scalability, and vulnerability
• ACE: agent-based models of rule dynamics, social networks, and organizations**
• BioNets: clustering, inference and vulnerability in biological networks
• Web Security and Privacy: Web vulnerabilities exploited for phishing, click fraud, etc.

Recent Talks

Past Projects

• InfoSpiders: intelligent, adaptive, topical Web crawlers*
• IntelliShopper: learning e-commerce agents
• ELSA: Evolutionary Local Selection Algorithms
• LEE: Latent Energy Environments