Vision, AI, Autonomous and Human Centred Systems (VAAH)
This research theme focuses on both theoretical and application aspects in artificial intelligence, computer vision, robotics and autonomous systems, machine learning, bio-inspired AI, pattern recognition, embedded intelligence, image processing, as well as HCI and human-factors.
We collaborate extensively with industry to ensure the relevance of its research. We have a very good track record of attracting funding from EPSRC, Newton Fund, Innovate UK, EU, Home Office, NHS and UK industry.
Our research has been successfully applied to a variety of real-world domains which include: service robots, agricultural robots, driverless vehicles, UAVs, underwater robots, human motion analysis, medical imaging, security and surveillance, sports, environment monitoring, ambient assisted living, risk & safety assessment, commodity trading, and manufacturing. We collaborates extensively with industry to ensure the relevance of its research. We have a very good track record of attracting funding from EPSRC, Newton Fund, Innovate UK, EU, Home Office, NHS and UK industry. Our research has been successfully applied to a variety of real-world domains which include: service robots, agricultural robots, driverless vehicles, UAVs, underwater robots, human motion analysis, medical imaging, security and surveillance, sports, environment monitoring, ambient assisted living, risk & safety assessment, commodity trading, and manufacturing.
- Artificial Intelligence
- Machine Learning, Deep Learning
- Embedded Intelligence
- Bio-inspired AI, Bio-inspired Robotics
- Service Robots, Agricultural Robots, Underwater Robots
- Driverless Vehicles, UAVs
- Computer Vision and Pattern Recognition
- Human Motion Tracking, Gesture and Activity Analysis
- Medical Imaging
- Security and Surveillance
- Ambient Assisted Living
- Sports Informatics and Motion Analysis
- Big Data, Decision Support Systems
- Human Factors
- Image & Video Processing and Analysis
- Multi-Agent Systems
- Requirements Analysis
- Computer Graphics
- Dynamic Workflows
- Environmental Informatics
- Image & Video Enhancement and Coding
- Mission Planning
- Risk & Safety Assessment
Dr Haibin Cai (Lecturer)
Computer vision, robotic sensing, and application of deep learning, particularly in research areas: eye-tracking, gaze estimation, facial expression recognition, motion recognition, robot vision, multi-sensor fusion, object detection, defect detection, deep fake generation and identification.
Dr Tao Chen (Lecturer)
Computational Intelligence (e.g., Natural Computation and certain aspects of Machine Learning etc) and Software Engineering, particularly in fields such as Self-Adaptive Software Systems, Search-Based Software Engineering, Data-Driven Software Engineering and Intelligent Performance Engineering.
Dr Yan Chen
Improving radiological identification of early signs of cancer, potential of eye movement information for training in interpreting mammograms; computer-based interpretation training using low-cost & hand-held devices. Breast tomosynthesis (DBT), lung cancer, CT colonoscopy & personalized screening.
Dr Georgina Cosma (Senior Lecturer)
Artificial Intelligence (A.I), Natural Language Processing, data science. Innovative deep learning algorithms for fusing & aligning multi-modal data; identifying limitations of A.I in real-world scenarios, developing solutions to overcome limitations; ethical & continual lifelong machine learning.
Professor Qinggang Meng (Professor)
Biologically & psychologically inspired learning algorithms, service robotics, robot learning, autonomous systems verification & validation, multi-UAV cooperation, human motion analysis, ambient assisted living, driverless vehicles sensing & decision making, agricultural & underwater robots.
Dr Andrea Soltoggio (Senior Lecturer)
Neural plasticity, models of learning and memory, neuro-robotics, deep learning, evolutionary computation, artificial life, adaptive behaviour, human-robot interaction, control systems, cognition and intelligence, movement primitives, motor skills.
Dr Mohamad Saada (Lecturer)
Deep learning (DNNs, CNNs, GANs), computer vision, human computer/robot interaction, probabilistic modelling (Bayesian Networks, Dynamic Bayesian Networks, Hidden Markov Models, Kalman filters, Graphical Models), human activity recognition, anomaly detection, multi-object tracking.
- “Novel real-time algorithms and system architecture for defect detection on patterned textiles”, Qinggang Meng (PI), Eran Edirisinghe (CoI), Innovate UK, £421,482 in total, (£148K for Loughborough University), from Aug. 2018
- “Triple-Network Air Quality Monitoring and Carbon Credit Trading Platform for Sustainable Urban Environments”, Qinggang Meng (PI), Newton Fund, £470K in total (£131K for Loughborough University), from Aug. 2018.
- “AgriRobot: Autonomous agricultural robot system for precision spraying”, Qinggang Meng (PI), £499,964 (£126,370 for Loughborough University), Innovate UK, , total £840k for the project. April 2018—March 2020.
- “YOBAN- a companion robot to assist walking, sitting down and standing up for older people”, Qinggang Meng (PI), £380,227 to Loughborough University, total about £1.1M. Newton Fund. April 2017-March 2019.
- “STAR – Sky Transport Autonomous Robot”, Qinggang meng (PI), EPSRC CDT studentship, £40,000 to Loughborough University from the sponsored company Motion Robotics Ltd, 2018-2022,
- “AI supported mammographic interpretation training system”, Yan Chen (PI), Qinggang meng (CoI), EPSRC CDT studentship, £40,000 to Loughborough University from the sponsored company Hologic. 2018-2022
- “Stabilisation and walking in a bipedal robot based on the Flexmotor”, Qinggang Meng (PI), 1 July 2016-30 June 2020, EPSRC CDT studentship, £40,000 to Loughborough University from the sponsored Motion Robotics Ltd,
- “Video based feature extraction and object tracking”, Qinggang Meng (PI), £70,000, SUKE INTEL, Sept 2017-Sept 2018.
- "Real time camera view transformation and visualisation in mixed reality", Qinggang Meng (PI), EPSRC CDT studentship, £40,000 to Loughborough University from industry.
- "FloodFinJava", NERC (£262,193), Russell Lock (CoI), 2018-2020
- "PCUK Radiologist Training", Yan Chen (PI), £39,951 from Prostate Cancer UK (research), from January 2018 for one year.
- "MyPEBs – Personalised Breast Screening", Yan Chen (PI), EU Grant £130,883, 1 January 2018-31 December 2025.
- "Prospects UK Digital Breast Tomosynthesis Trial (Research)", Yan Chen (PI), £380k August 2018-end July 2025.
- “Building Embedded Intelligence for Curiosity Driven Underwater Vehicle for Target Exploration”, EPSRC and industry (Witted Srl) sponsored project. Baihua LI (PI), industry contribution £40k to LU, 2018 – 2022
- “AI/Machine Learning based Algorithm and Software Development for Action Event Detection in Sports Videos”, EPSRC CDT PhD project, Statmetrix sponsored project. Baihua Li (PI), industry contribution £40k (Statmetrix) to LU. 2018 – Dec. 2022.
- “Developing Intelligent and Interactive HVAC Pipe Network”, PhD studentship Co-funded by Tata, £13k to LU, Paul Chung (PI), Baihua Li (Co-I). 2016- 2020.
- “Hand-drawn Document Cognitive Systems”, EPSRC CDT industry (Surface Intelligence) sponsored PhD studentship. Eran Edirisinghe (PI), £40k to LU, 2018 – 2022.
- “Supper Resolution Videos from High Resolution”, EPSRC and ARM sponsored PhD project. Eran Edirisinghe (PI), £40k to LU, 2016 - 2020.
- “Defect Detection on Wind Turbine Surfaces using Artificial Intelligence.” EPSRC CDT studentship, Georgina Cosma (PI), Railston’s & Co Ltd. 2020-2023
- “Novel Approaches for Constructing Optimised Multimodal Data Spaces.” The Leverhulme Trust Research Project Grant RPG-2016-252. Georgina Cosma (PI), 2016–2019. £115,355
- “A.I based models for optimising integrated care pathways of patients.” Partly funded by external partner and partly by Loughborough University. Georgina Cosma (PI), 2021-2024
- KTP project with Singular Intelligence, Hui Fang (PI), Qinggang Meng (CoI), £197,792, 2021 - 2023
- "An agent based modelling solution for reliable decision making in crisis and market turmoil in consumer retail", Innovate UK, Hui Fang (PI), Shaheen Fatima (CoI), £199,751 (£56,758 for Loughborough), 2020 - 2021
- "RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19", EPSRC, Hui Fang (Co-PI), Led by University of Oxford, £427,038, 2021 - 2022.
Some recently Completed projects:
- "Towards more autonomy for unmanned vehicles: situational awareness and decision making under uncertainty", Qinggang Meng (CoI), Paul Chung (CoI), Wen-hua Chen(PI), EPSRC, 1 March 2012-31 Dec 2016, £1,006,188 (£1M to LU) in total, £246,410 to Computer Science Dept.
- “Remote Monitoring and Shared Decision Making for Upper Limb MSK Conditions Using MS Kinect”, NHS England Regional Innovation Fund (NHS-IHW-COLAB-2142). Baihua Li (PI), Total £130k, Central Manchester University Hospitals, MIRA Rehab Ltd. and LU. 2015 – Dec. 2017.
- “A Face Mask for Real-time Facial Motion Capture”, Technology Strategy Board, Baihua Li (Co-I), £20k, 2009-2010.
- “Virtual Reality Gaming to Improve Motor Control in Autism”, MIMIT-Manchester Integrating Medicine and Innovative Technology. Baihua Li (Co-I), £24k. 2014-2015.
- "PERFORMS", £365k, Prostate Cancer UK , Yan Chen (PI), April 2017/18.
- "Digital Breast Tomosynthesis in UK study", £228,596 from Hologic Inc via LUEL, Yan Chen (PI), from April 2017 for 1 year.
- Deep learning computers with latest Nvidia Tesla GPUs.
- NAO robots
- SONY Dog robots
- Quadrotor Drones
- LiDAR system
- Camera Systems
- Eye tracker systems
- Wearable sensor systems, e.g. Delsys Trigno EMG, IMU, Fitbit
- Kinect, LEAP Motion
- Access to Vicon Motion Capture System
- Access to High Performance Computer (HPC) systems