Oziel Rios

Oziel Rios is a Senior Lecturer in the Department of Mechanical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He holds a PhD and MS in Mechanical Engineering from The University of Texas at Austin and a BS from The University of Texas Pan American.

• PhD, Mechanical Engineering, The University of Texas at Austin, 2008
• MS, Mechanical Engineering, The University of Texas at Austin, 2005
• BS, Mechanical Engineering, The University of Texas Pan American, 2002

His research focuses on the modeling, design, and control of robotic systems, with emphasis on kinematics and dynamics of machines and computer-aided geometric design. His work provides analytical foundations for improving robotic manipulator performance through energy efficiency, gain distribution, and acceleration modeling.

The publications span the year 2009 and center on advanced analytical techniques in robotic mechanism design, particularly in serial chain systems. Key themes include kinetic energy ratios, actuator gain distributions, and geometric transformation-based acceleration models, reflecting a cohesive research agenda in robotic dynamics and control theory.

Scientific Awards and Honors:

• Outstanding achievement award, mechanical engineering award, University of Texas-Pan American
• Best student paper award, The Society of Plastics Engineers Annual Technical Conference (SPE-ANTEC)
• South Texas fellowship
• Cullen M. Crain endowed scholarship in engineering
• George J. Heuer, Jr. PhD endowed graduate fellowship

Oziel Rios advises graduate students in mechanical engineering research, though currently not accepting undergraduate researchers. While no specific grants are listed, his work appears supported by academic fellowships during his training. His contributions lie in foundational mechanical design methodologies for robotic systems.

He is actively engaged in teaching and research within the Mechanical Engineering program at UT Dallas, contributing to both curriculum and research in robotics and dynamic systems.