Research Scientist at The University of Texas at Arlington
Arlington, Texas, United States
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Summary
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Senior
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Michail Theofanidis is a research scientist and roboticist with nine years of experience at the intersection of control theory and machine learning, specializing in Human-Robot Interaction and Learning from Demonstration. He develops LfD frameworks that combine Dynamic Movement Primitives and reinforcement learning to let humans teach motor skills through diverse interfaces. His work spans academia and applied research—including postdoctoral roles and a visiting researcher position in Germany—plus a project creating distributed sensor platforms for continuous movement monitoring to support aging in place. Based in Arlington, Texas, he brings deep hands-on experience in visuomotor policy learning and a practical bent for turning research prototypes into robust, real-world systems.
9 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at University of Peiraeus
Doctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at The University of Texas at Arlington
Master of Science (MSc), Robotics, Master of Science (MSc), Robotics at University of Bristol
Contributions:5 pushes, 1 branch in 1 year 3 months
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Michail Theofanidis - Research Scientist at The University of Texas at Arlington