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This PhD project aims to develop a novel system for Cognitive Monitoring of Human Operators by leveraging advanced AI and utilizing multi-modal data sources such as cameras, control inputs, response timing and various other sensors. The goal is to monitor and assess the cognitive states and attention levels of operators in real-time, using statistical and AI techniques to process and analyse data from these diverse inputs. A thorough review of existing cognitive monitoring methodologies and AI applications will provide a foundation for this work. Following this, the project will focus on experimenting with the integration of multi-modal data sources to create an AI-driven system capable of continuously tracking and analysing operator attention. This system will detect signs of cognitive fatigue, attention lapses, low-magnitude deviations and other mental states that can negatively impact performance. The applications of this research span multiple industries, including transportation, industrial operations and safety-critical environments where maintaining high levels of attention is essential. The project will culminate in the development of a comprehensive monitoring tool, contributing to improvements in operator performance, safety and overall system reliability. The Department of Aeronautical and Automotive Engineering at Loughborough University is committed to advancing research at the forefront of technological innovation, with a particular emphasis on emerging technologies that can facilitate transportation development. Dr Miguel Martínez, with expertise in the field of AI for engineering and over sixty publications in the field, will provide guidance throughout the duration of the project . Loughborough University stands as a beacon of research excellence, with a distinguished track record highlighted by its recent recognition in the Research Excellence Framework (REF) 2021, where 94% of submitted work was rated as 'world-leading' or 'internationally excellent.' Join us in shaping the future of engineering design through the transformative potential of AI.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
This PhD project aims to develop a novel system for Cognitive Monitoring of Human Operators by leveraging advanced AI and utilizing multi-modal data sources such as cameras, control inputs, response timing and various other sensors. The goal is to monitor and assess the cognitive states and attention levels of operators in real-time, using statistical and AI techniques to process and analyse data from these diverse inputs. A thorough review of existing cognitive monitoring methodologies and AI applications will provide a foundation for this work. Following this, the project will focus on experimenting with the integration of multi-modal data sources to create an AI-driven system capable of continuously tracking and analysing operator attention. This system will detect signs of cognitive fatigue, attention lapses, low-magnitude deviations and other mental states that can negatively impact performance. The applications of this research span multiple industries, including transportation, industrial operations and safety-critical environments where maintaining high levels of attention is essential. The project will culminate in the development of a comprehensive monitoring tool, contributing to improvements in operator performance, safety and overall system reliability. The Department of Aeronautical and Automotive Engineering at Loughborough University is committed to advancing research at the forefront of technological innovation, with a particular emphasis on emerging technologies that can facilitate transportation development. Dr Miguel Martínez, with expertise in the field of AI for engineering and over sixty publications in the field, will provide guidance throughout the duration of the project . Loughborough University stands as a beacon of research excellence, with a distinguished track record highlighted by its recent recognition in the Research Excellence Framework (REF) 2021, where 94% of submitted work was rated as 'world-leading' or 'internationally excellent.' Join us in shaping the future of engineering design through the transformative potential of AI.
Admission Requirements
3.2+
6.5+
92+
A 2:1 undergraduate degree in a relevant subject.
10 Feb 2025
3 Years
Oct
Tuition fees
International
28,600
Scholarships
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Cognitive Monitoring of Human Operators using Multi-modal Artificial Intelligence PhD
Loughborough University, Loughborough, United Kingdom
36 monthsProgram duration
28,600 Tuition Fee/year
10 Feb, 2025Application Deadline
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The goal is to monitor and assess the cognitive states and attention levels of operators in real-time, using statistical and AI techniques to process and analyse data from these diverse inputs.
A thorough review of existing cognitive monitoring methodologies and AI applications will provide a foundation for this work. Following this, the project will focus on experimenting with the integration of multi-modal data sources to create an AI-driven system capable of continuously tracking and analysing operator attention. This system will detect signs of cognitive fatigue, attention lapses, low-magnitude deviations and other mental states that can negatively impact performance.
The applications of this research span multiple industries, including transportation, industrial operations and safety-critical environments where maintaining high levels of attention is essential. The project will culminate in the development of a comprehensive monitoring tool, contributing to improvements in operator performance, safety and overall system reliability.
The Department of Aeronautical and Automotive Engineering at Loughborough University is committed to advancing research at the forefront of technological innovation, with a particular emphasis on emerging technologies that can facilitate transportation development. Dr Miguel Martínez, with expertise in the field of AI for engineering and over sixty publications in the field, will provide guidance throughout the duration of the project . Loughborough University stands as a beacon of research excellence, with a distinguished track record highlighted by its recent recognition in the Research Excellence Framework (REF) 2021, where 94% of submitted work was rated as 'world-leading' or 'internationally excellent.' Join us in shaping the future of engineering design through the transformative potential of AI.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The goal is to monitor and assess the cognitive states and attention levels of operators in real-time, using statistical and AI techniques to process and analyse data from these diverse inputs.
A thorough review of existing cognitive monitoring methodologies and AI applications will provide a foundation for this work. Following this, the project will focus on experimenting with the integration of multi-modal data sources to create an AI-driven system capable of continuously tracking and analysing operator attention. This system will detect signs of cognitive fatigue, attention lapses, low-magnitude deviations and other mental states that can negatively impact performance.
The applications of this research span multiple industries, including transportation, industrial operations and safety-critical environments where maintaining high levels of attention is essential. The project will culminate in the development of a comprehensive monitoring tool, contributing to improvements in operator performance, safety and overall system reliability.
The Department of Aeronautical and Automotive Engineering at Loughborough University is committed to advancing research at the forefront of technological innovation, with a particular emphasis on emerging technologies that can facilitate transportation development. Dr Miguel Martínez, with expertise in the field of AI for engineering and over sixty publications in the field, will provide guidance throughout the duration of the project . Loughborough University stands as a beacon of research excellence, with a distinguished track record highlighted by its recent recognition in the Research Excellence Framework (REF) 2021, where 94% of submitted work was rated as 'world-leading' or 'internationally excellent.' Join us in shaping the future of engineering design through the transformative potential of AI.
Admission Requirements
Tuition fees
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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Artificial Intelligence-Assisted Modular Metabolic Engineering for Netzero Commodity Manufacture PhD
Beyond Normal - Proteins in Alien Environments PhD
BioDyes - Expanding the Scope of Renewed and Renewable Textiles
Building Community Climate Resilience with Large Language Models and Remote Sensing PhD
CSC PhD Studentship in Exploring Advanced Materials for Wearable Sensors PhD
Catalytic And Adsorption Properties Of Polymeric Silver And Zinc Oxide Stabilized Nanocomposites Decorated On Reduced Graphene Oxide PhD
Cell Mechanics and Tumour Growth PhD
Cellular Automaton to Model Rapid Crystal Growth and Recrystallisation PhD
Cognitive Monitoring of Human Operators using Multi-modal Artificial Intelligence PhD
Continuous Manufacturing Of Nano-Assemblies For Mrna Based Therapies And Vaccines: From Batch To Industry Scale PhD
Countering Cyberattacks in Autonomous Vehicles PhD
Cryptographic Primitives for Symmetric Cryptography PhD
Crystallisation with 3D Printing Template and Hydrogel Templates PhD
Data and AI Powered Turbulence Modelling for Fusion Energy Cooling Flows PhD
Design and fabrication Custom Foot Orthotics PhD
Design of Programmable Mechanical Metamaterials PhD
Developing Diffusion Models for Electric Vehicle: Spatial-temporal analysis and Policy Evaluation PhD
Developing Natural Surfactants from Biomass for Industrial Applications PhD
Development of New Digital Technologies and Generative Artificial Intelligence Tools For The Next Generation Green-By-Design and Sustainable Pharmaceuticals PhD
Development of Robust Wall Modelling for Practical Aerodynamic High Fidelity Prediction Phd
Dynamic Deformation, Damage and Fracture Of Composites PhD
Energy Efficiency Optimisation of Electric Vehicles In Dynamic Driving Scenarios PhD
Engineering New Materials for Solid-State Cooling Phd
Enhancing Human-Robot Interaction: Leveraging Artificial Intelligence for Emotional Intelligence in Robotics PhD
Unveiling Molecular Mechanisms of the Beneficial Impact of Exercise on Cancer Metabolism PhD
Using the Metabolome to Study Aging and Geroprotectors in 3D Cell Models PhD
Visual Data Mining on Proteins and Biomedicine Crystallisation PhD
Waste-derived Bioplastics for a Circular and Sustainable Food Packaging Economy PhD
Life Sciences and Medicine (6)
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Framework for Next-Generation Personalised Healthcare PhD
Biomarkers of Aging PhD
Biomarkers of Aging PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Developing Prescription Guidelines for Passive Heat Therapy PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Does Socialised Real-Life Body Exposure Promote Body Image Positivity PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Energy Dissipation In Human Soft Tissue During Impacts PhD
Natural Sciences (6)
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Accelerated Screening and Synthesis of New Chemotherapeutic Agents for Pancreatic Cancer PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bespoke Organometallic Compounds for Anticancer Studies PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Bio-based Sustainable Materials for Autonomous Thermal Management in Wearables PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Biomimmetic Catalytic Asymmetric Synthesis of the Bisorbicillinoids and Related Products PhD
Climate and Ecological Transitions Hub Studentship PhD
Climate and Ecological Transitions Hub Studentship PhD
Coherent State Methods in Spectral Asymptotics PhD
Coherent State Methods in Spectral Asymptotics PhD
Computational Modelling of Sustainable Alloys PhD
Designing Classroom Tasks To Improve Students’ Learning Of Mathematics PhD
Developing Novel Antibiofilm Coatings for Sustainable Biofilm-Free Surfaces PhD
Development of Hybrid Microcomb Sources with Topologically Protected Dark Resonances for Simultaneous Classical and Quantum PhD
Development of Novel Bicyclopentanes (BCP) Bioisosteres From Bench Stable [1.1.1]-Propellane Precursors PhD
Digital Twins for Biofilm Management PhD
Dispersionless Integrable Systems In 2+1 Dimensions PhD
Social Sciences and Management (6)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD