FLAIRS_Conference

D. Michael Franklin

Assistant Professor, Computer Science and Computer Game Design and Development


I love to teach.  I love to do research.  I love to build robots, play video games, and explore new technology.  In short, I love what I do!  I was born in the Atlanta area and grew up in Marietta, GA.  I loved playing outdoors and working on computers, mostly disassembling them to figure out how they worked.  I went to Walton High School and then on to Georgia Tech and Southern Polytechnic State University for my undergraduate degree.  My graduate work was done at the University of Tennessee in Knoxville, TN, and at Georgia State University, Atlanta, GA, where I did research in autonomous mobile robots, artificial intelligence, and machine learning.  I continue to do research in those areas now.  My wife and I live in North Atlanta with our five amazing (and energetic) children who all love to build, create, and explore technology.

Contact INformation



Email : mfranklin at kennesaw dot edu

Website : ksuweb.kennesaw.edu/~dfrank15

Phone : (470) 578 - 3253

Address : 1100 S. Marietta Pkwy, MD 9034, Marietta, GA 30060

Current Projects



Research in AI

KSU - 2015 - 2017

My current research in Artificial Intelligence is in multi-agent multi-team strategic interactions, especially in partially-observable stochastic games. I am always doing Games-oriented research and have several High-performance computing projects.  I am working with a number of graduate and undergraduate students, but I am always looking for the best and brightest to join one of our many groups!

KSU - 2014 - 2015

Research in Artificial Intelligence concerned with games, multimedia, autonomous mobile robots (especially multi-agent teams).  I am working with a number of graduate and undergraduate students, but I am always looking for the best and brightest to join one of our many groups!

SPSU - 2013 - 2014

Research in Artificial Intelligence concerned with answering the questions about how humans utilize strategy in everyday challenges - this includes computer vision, machine learning, and robotics; games and multimedia; and autonomous mobile robots.