Ziad Kobti
Personal
- Full Name
- Ziad Kobti
- Project Role
- Co Principal Investigator
- Bio
Dr. Ziad Kobti is an assistant professor in the School of Computer Science at the University of Windsor, Ontario, Canada.
- About
Dr. Ziad Kobti is an assistant professor in the School of Computer Science at the University of Windsor, Ontario, Canada. He received his Ph.D. from Wayne State University, Michigan (2004), specializing in modeling hierarchical human social networks and cultural evolution. He received his B.Sc. Honors with a double major in Biological and Computer Sciences (1996) and an M.Sc. in Computer Science (1999) from the University of Windsor. He is an active researcher and lecturer at the University of Windsor and a researcher at the Artificial Intelligence Laboratory at Wayne State University. Industrial work experience includes programmer/analyst positions on large scale corporate software systems and independent IT consultant. Profiled projects include a national award winning critical-time client/server and distributed database software solution for the emergency freight trucking industry, government funded civil and environmental engineering software, technial educator and corporate trainer in community college and industry.
- Homepage
- http://cs.uwindsor.ca/~kobti/
History
- Member for
- 3 years 2 weeks
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A Diverse Team
The Village Ecodynamics Project seeks to understand ancient Pueblo peoples in their social and environmental contexts, a task that benefits from close collaboration among researchers from diverse disciplines. Alongside archaeology, computer science, ecology and geology, biomolecular science and economics play important roles. In the long run we hope that projects such as this will help the social sciences to overcome their historic isolation from biology, the earth sciences, and mathematics.
In the shorter term our agent-based models provide mechanisms for integrating insights from paleoclimatology, anthropology, and ecology, and provide expectations against which we can compare the always-surprising richness and variability of the actual historical contexts that we study in southwestern Colorado and north-central New Mexico.