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People
Below are faculty, students and lab groups active in the Ph.D.
program in Computation, Organizations and Society (COS).
Core COS Faculty
- Jaime Carbonell
- machine translation, information retrieval, artificial intelligence
- Kathleen Carley
- computational social and organization theory, dynamic social
networks, multi-agent network models, information diffusion
- Lorrie Cranor
- privacy enhancing software, policy specification languages,
electronic voting, secure systems
- David Farber (bio)
- distributed computing, telecommunications and networks, software
systems and programming languages, technology policy
- Bill Hefley
- intelligent user interfaces, IT services qualification, software
industry research
- Jim Herbsleb
- collaboration in software engineering, open source, computer-supported
cooperative work, organization design
- Norman Sadeh
- pervasive computing, agent technologies, internet-enabled supply
chains, mobile commerce, web security and privacy
- Tuomas Sandholm
- AI and machine learning, e-commerce, game theory; multiagent
systems and networks, auctions and negotiations, voting, intelligent
real-time systems
- Michael Shamos
- digital libraries, language identification, electronic voting,
electronic negotiation, Internet law and policy
- Latanya Sweeney
- data privacy, privacy technology, bioterrorism surveillance,
video surveillance, biomedical informatics, intelligent tutoring
systems, computer learning
- Robert Thibadeau
- negotiated privacy and contracts, computer security, digital
libraries, distributed learning, policy specification languages
COS Students
The Ph.D. Program in Computation, Organizations and Society (COS)
is the newest Ph.D. Program in the School of Computer Science at Carnegie
Mellon University. The following students, who were previously working
on COS projects with COS faculty, have already been admitted to the inaugural
class through an early admissions process.
- Edoardo Airoldi
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fingerprint identification, probabilistic models for mining text, data privacy, geometry of learning algorithms, inverse problems over time
- Michael Ashworth
- Computational organization theory, management and entrepreneurial
influence, measures of organizational performance
- John Graham
- military command, control, communications & information, social network analysis, organizational design, situation awareness, shared mental model
- Ralph Gross
- human identification at a distance, face and gait recognition,
computer vision, data privacy
- Yiheng Li
- data privacy, data anonymity, data mining, machine learning
- Bradley Malin
- data privacy, computational anonymity and re-identification
algorithms, data mining, biomedical informatics, internet privacy
- Craig Schreiber
- social network analysis, multi-agent systems, diffusion of knowledge
- Maksim Tsvetovat
- intelligent agents, ecommerce, contracts and negotiations
- Alex Yahja
- intelligent adaptive agents, networks, multi-agent systems,
bioterrorism surveillance
Labs and Groups
Below is a sample of some affiliated labs and research groups
conducting COS projects.
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