| Enkia was
founded in 1998 by faculty from the Georgia Institute
of Technology. Using advanced AI algorithms licensed
from the university, the company was originally established
in Georgia Tech’s Advanced Technology Development
Center (ATDC). Enkia is headquartered in Atlanta.
Enkia is named for a mythological
figure (Enki-Ea) in the literature of ancient Sumer (3500 BCE
until 2000 BCE) responsible for the creation of intelligence
in humans.
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| Team |
| PhD in Computer
Science (Artificial Intelligence) from Yale University,
Dr. Ram is an internationally respected authority in artificial
intelligence and cognitive science. He has published 2
books and over 80 scientific articles worldwide. He has
over 24 years of experience in research and development,
including 14 years as a faculty member at Georgia
Tech. In addition to Enkia, he is a co-founder of
Ardext Technologies, which develops test software for semiconductor
manufacturers. |
| PhD in Electrical Engineering from University of Rochester, Dr. Lokanathan has over 20 years of experience managing the entire product lifecycle for complex software tools and systems. He is an expert in analyzing market and customer requirements, architecting new products, developing release strategy, and supervising product rollout. He was the co-founding CEO of Ardext Technologies and has previously held technical leadership responsibilities at Silicon Compiler Systems, Mentor Graphics and Tera Systems. He also serves as a principal consultant for Market Plan Engineering. |
|
Thomas is an expert in knowledge representation,
machine learning, natural language processing, and
human-computer interaction.
His doctoral work in Computer and Cognitive Sciences at Indiana University
contributed to the
development of new interactive knowledge modeling and
capturing tools as well as expert systems for diagnosis. |
| PhD in Computer Science (Intelligent Systems) from Georgia Tech, Dr. Devaney has 16 years of commercial AI software development experience. He is an expert in data mining, machine learning and knowledge engineering, and has built and delivered large-scale systems for financial, medical, and government applications. |
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