Michail Theofanidis
Research Scientist at The University of Texas at Arlington
Arlington, Texas, United States
Summary
👤
Senior🎓
Top SchoolMichail 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.
10 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 PeiraeusDoctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at The University of Texas at ArlingtonMaster of Science (MSc), Robotics, Master of Science (MSc), Robotics at University of Bristol
English, Greek
Github Skills (17)
face9
robotics7
caffe7
human-pose-estimation7
opencv7
cpp7
computer-vision6
pose-estimation6
machine-learning6
pose6
deep-learning5
dynamic5
keypoint5
openpose5
python4
Programming languages (3)
Github contributions (5)
MichailTheofanidis/Barrett-Matlab
Sep 2016 - Oct 2018
Contributions:3 PRs, 8 pushes, 1 branch in 2 years 2 months
robotics
MichailTheofanidis/Baxter_CLF_CBF
May 2023 - Aug 2024
Contributions:5 pushes, 1 branch in 1 year 3 months
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