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Brian Hrolenok has a deep interest in machine learning, multiagent systems, and the challenges unique to their intersection. Hronlenok's research has explored learning executable models of systems that exhibit complex collective behavior such as social animals (social insects, fish, primates) and robot teams. He also enjoys reading, learning, and teaching computer science and mathematics, building robots, and noodling on strange synthesizers with enthusiasm inversely proportional to talent.

Degrees

• PhD, Computer Science, Georgia Institute of Technology
• Master of Science, Computer Science, Â鶹ÊÓƵ
• Bachelor of Science, Computer Science, Â鶹ÊÓƵ