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Miguel is a Research Associate in the Department of Surgical and Interventional Engineering at King’s College London (KCL). In the area of Ultrasound-Guided Interventions, Miguel is contributing with the creation of new hardware, software and algorithms. Specifically, he is involved in the development of needle tip tracking validation, real-time ultrasound image processing, quality management system for medical devices and public engamenment activities. All the previous activities in collaboration with renowned clinicians, engineers and researchers in KCL and UCL.
Before joining KCL in April 2019, he was awarded a Ph.D. degree in Computer Engineering from the University of Birmingham in July 2019 where he investigated Nonlinear Analysis to Quantify Movement Variability in Human-Humanoid Interaction. His PhD thesis is the first open-accessible and reproducible thesis since the establishment of the University of Birmingham. Prior to this, based in México, he was a research assistant in the Robotics laboratory at INAOE where he worked on service robotics. In 2006, he received his M.Sc. in Signal Processing at INAOE and in 2004 a B.Sc. in Electronic Engineering at Puebla Institute of Technology.
Miguel’s has 20 years’ experience in Human-Robot Interaction, Electronics, Mechatronics and Signal Processing, along with 12 years’ experience as a teaching associate in Mechatronic and Computer Engineering. He has passion for Robotics, Chaos, AI, Open Science and Brains. To learn more about Miguel’s research interests, projects, cv, passions and more, visit his website mxochicale.github.io.