Dr Labs, RB

Professor of t-AI | Research Scientist | Inventor

An award-winning research scientist with significant impact and contributions to interdisciplinary AI, robotic automation and computational modelling. Dr Labs exhibits a rare capacity for driving complex processes using cutting-edge solutions while enabling the intersection of vision (2D/3D), motion and control engineering. Being a professor of translational AI with progressive academic pedagogy, his current industrial commitment includes the implementation of real-time computational models to achieve finite optimization of CF/PEEK's interlaminar properties in sub-sea applications.

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Experience

Machine Learning

A special kind of artificial intelligence that is based on dataset and learned functions of deep learning and statistical methods. This represents a cutting-edge technology that is far supperior to any symbolic learning principles. Inherently difficult problems can be resolved accurately. The application of deep learning algorithm provides novel solutions and new opportunities for:

  • Clinical & Healthcare Translatory Applications
  • Manufacturing, Monitoring, Quality Assurance
  • Identification, Reliability of Military Applications

    • Robotic Control

    The advent of artificial intelligence approaches gave rise to many plausible real-world application and solution in healthcare, mobility and manufacturing processes. While research institutions latch on novel possibilities, its is general knowledge that advanced production facilities can not thrive without:

  • DfM using classical controllers
  • Autonomous Mobile Robots
  • Non-linear and PID Programing
  • High-powered Actuator & Controllers

    • Cutting-Edge Technology

    Solid experience in L3 R&D clean room for advanced manufacturing. Domain expert knowledge includes:

  • Linear Vectoring Propulsion System
  • Nd:YAG Solid-State High-Powered Laser System
  • Computational Science & Complex Optimisation
  • High-speed Telemetry & Spectral Guided System

    • Process Automation

    Design, development, commisioning and optimisation experience in industrial process automation with various leadership roles Oil & gas, automated warehousing & Manufacturing.

  • Instrumentation, Automation & Controls
  • Actuators, VFD/VSD, Conveyor System
  • Safety PLC infrastructure and SILs

    • Transferable Skills

    Selected Publications

    AI Assisted Quality Optimization - EJR

    Multivariate Assessment Method in Echocardiographic Image Quality Optimization.

    READ SUMMARY >>
    Automatic Data Annotator Using DL Framework - MedIA

    The automatic definition of global characteristic of Echocardiographic image using Reinforcement/Unsupervised learning latches on the underpining process of data annotation which is essential in Model training use cases - CV, NLP etc. .

    READ SUMMARY >>
    Real-Time Acquisition -UMEDB

    Feasibility of Real-Time Acquisition and Optimization of Echocardiogram’s Image Quality in a Unified Workflow.

    READ SUMMARY >>
    Cardiac Image Objective Assessment -IntelMED

    The design and application of an ultra-lightweight (CardioQNet) deep learning model: The Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks.

    READ SUMMARY >>
    Best Computational Model for Cardiac Images - SPI JMI

    The design of a highly generalised lighweight model (CardioQALZ) using AutoML-NAS: ” Neural architecture search of echocardiography view classifiers. The Journal of Medical Imaging, vol. 8, no. 03, Jun. 2021, doi: 10.1117/1.JMI.8.3.034002.

    READ SUMMARY >>
    Objective Aquisition Method - Oxford

    Echocardiographic Image Aquisition & Assessment: Medical Image Understanding and Analysis, 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12–14, 2021, Proceedings

    READ SUMMARY >>
    Echocardiography AI-Assisted Diagnosis - ICRMIRO

    Automated Assessment of Echocardiographic Image: Proceeding of the International Conference on Radiology, Medical Imaging and Radiation Oncology, (ICRMIRO), Paris France June 25-26, 2020, Part XVII Pages 2160-2165.

    READ SUMMARY>>
    AI-Assisted Activity Recognition - ICMLC

    Human Activity Recognition for Healthcare using Smartphones: Proceedings of the 2018 10th International Conference on Machine Learning and Computing February 2018 Pages 41–46.

    READ SUMMARY>>

    Contact Us

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    Address

    CTRAI England
    Cheshire, Manchester, UK

    Email

    Email: alpha_info@t-ai.uk