Miguel Xochicale, PhD

* I lead development of scalable AI and cloud robotics infrastructure enabling UCL researchers to move from experimental models to deployable healthcare and cyber-physical systems. * I build reproducible ROS2 workflows, APIs, and real-time sensor pipelines, strengthening institutional capability in robotics, digital health, and translational research engineering across multiple collaborative initiatives. Cyber Physical Systems: https://github.com/UCL-CyberPhysicalSystems/hackathon-01 READY: https://github.com/oocular/ready CDI-HUB: https://github.com/UCL-CDI/cdi-hub SENSE-BASE: https://github.com/sense-base SciKit-Surgery: https://github.com/SciKit-Surgery XFETUS: https://github.com/xfetus/xfetus NVIDIA-holoscan: https://mxochicale.github.io/real-time-ai-for-surgery-with-NVIDIA-Holoscan-platform/#/section

I advanced AI-enabled Open-source Software frameworks for Surgical and Medical Technologies. These with collaborations of a multidisciplinary team of UCL-WEISS academics and clinicians and industry partners from NVIDIA-Holoscan team. • 🏆 UCL Open Science award 2023 for organising "Open-Source Software for SurgTech" workshop • Lead organiser of "Open-Source Software for SurgTech" at the Hamlym Symp. on Medical Robotics 2023 and 2024. • Supervision: Sujon Hekim, in2reserach summer placement Project: AI-based surgical skill assessment using transformer model. [June 23’ – Sep 23’] • Supervision: Qingyu Yang, M.Sc. in Health Data Science Project: Fetal Brain Ultrasound Imaging synthesis with diffusion models. [May 23’ – Aug 23’] • Supervision: Xiaoning Zhu, M.Sc in Health Data Science Project: Automatic Medical Image Reporting with transformer-based models. [Jan 23’ – Aug 23’] • Co-organised of journal club for computer vision and deep learning at Advanced Research Computing Centre [Jan 23’ – Jun 23’]

• Design and deliver end-to-end AI workflows: covering dataset curation, data selection, machine learning pipelines, model development and training, as well as inference, verification, and validation. Implement solutions with intuitive graphical user interfaces. • Build reliable software infrastructure: including well-structured repositories, unit testing, CI/CD pipelines, and containerisation (Docker) to ensure reproducibility and scalability. • Deliver impactful outcomes: meeting client needs with high-quality solutions, while helping organisations attract and engage new customers through innovative AI and robotics applications.

In the Vietnam ICU Translational Applications Laboratory (VITAL) project between September 2021 to September 2022, I scientifically contributed to automatic biometric recognition of Electrocardiography ultrasound data using real-time deep learning techniques and frameworks with Python, CUDA, C++ and Qt programming languages via GitHub. All previous activities in collaboration with renowned clinicians and engineers in KCL, University of Oxford and University of Melbourne.

• Supervision: Pablo Prieto Roca and Samuel Eyob. KURF projects on 3DGANs for fetal US imaging. Jun 2022-Aug 2022. • Supervision: Tsz Yan (Goosie) Leung, MSc in Medical Engineering and Physics. Project: Simple US guidance intervention. Feb 2021-Aug 2022. 🏆 Goosie thesis received distinction! • Supervision: Michelle Iskandar, M.Sc. in Healthcare Technologies. Project: Fetal Ultrasound Imaging Sysnthesis using DCGAN and FASTGAN. Feb 2021-Aug 2022. • Supervision: Thea Bautista, M. Eng. in Biomedical Engineering. Project: DCGANs for fetal US imaging. Oct 2021-May 2022. 🏆 Thea received the Maurice Wilkins Prize for the best MEng Individual Research Project in 2022. • Supervision: Guilherme Gomes de Figueiredo and Amal Hussein. KURF projects on DCGANs for US imaging. Jun 2021-Aug 2021 • Supervision: Alexander Mitton, M.Sc. in Medical Engineering and Physics. Project: Vibro-tactile stimulator for dystonia. Jan 2020-Sep 2020. 🏆 Alex won the award of outstanding individual project. • Teaching Associate: Medical Robotics. Lecturer: Dr. Alejandro Granados. Jan 2022-Apr 2022. • Teaching Associate: Medical Robotics. Lecturer: Dr. Hongbin Liu. Jan 2021-Apr 2021. • Teaching Associate: Medical Robotics. Lecturer: Dr. Christos Bergeles. Jan 2020-Apr 2020.

In the Guided Instrumentation for Fetal Therapy and Surgery project, I pushed forward the state-of-the-art of Ultrasound-Guidance Interventions where was involved in the development of a needle tip tracking system, real-time ultrasound image processing, quality management system (QMS) and clinical translation of medical devices, and public engagement activities. Similarly, I developed validation experiments with linear stages under Windows and GNU/Linux OSs, designed electronic PCBs and 3D printing holders, characterised ultrasonic transducers, and contributed to a Python library via GitHub. All the previous activities in collaboration with an amazing team of renowned clinicians, engineers, QMS specialists and researchers in KCL and UCL. Achievements: * 🏆 King's Public Engagement Award on FETUS: Finding a fETus with an Ultrasound Simulator

My research was in the areas of Nonlinear Dynamics and Human-Robot Interaction. Particularly, I developed deeper understanding of movement variability using Recurrence Quantification Analysis to create novel interpretation of nonlinear time series. Relevant activities: • Managed 3 collaborative and 2 independent projects • Published 4 papers in collaboration and 2 abstracts independently • Attended 6 international conferences/workshops • Presented 8 Posters and 6 oral presentations • Presented 12 demonstrations of Human-Robot Dance Interaction at the Open Days • Organised for 1 year the Science Seminar of the Mexican Society • Programming (C++, R, python, ROS, and GitHub)

Topics covered: • Engineering Maths 2. Lecturers: Professor Martin Russell, Dr Carl Anthony • Engineering Maths 2. Lecturer: Professor Martin Russell • Computing for Engineering. Lecturer: Dr Sridhar Pammu • Matlab Laboratories. Lecturer: Dr Edward Tarte • Computing for Engineering. Lecturer: Dr Sridhar Pammu • Small Embedded Systems. Lecturer: Professor Chris Baber

I developed a Human-Robot Interaction (HRI) Demo for dancing activities based on a Patrolbot mobile robot and a single three-axial accelerometer. The HRI demo was presented at the Mexican Tournament of Robotics 2013 in which Markovito’s team won the first place at the HOME category.

To my knowledge, this is the first #OpenAccessPhDThesis and 100% reproducible PhD thesis @unibirmingham since University of Birmingham establishment in 1900. Thesis: https://doi.org/10.5281/zenodo.3384145 Github: https://doi.org/10.5281/zenodo.3383334 Website/Video: https://mxochicale-phd.github.io/site/