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 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
His research interests include computer vision, robotic sensing, and application of deep learning to these areas, 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
His research has been on the intersection between 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. Most of his work is related to specializing Artificial/Computational Intelligence for understanding, improving and assessing the software engineering process as well as the runtime behaviors of the developed software systems, ranging from the domain of web applications to the cloud computing paradigm.
- Dr Yan Chen,
Her research primarily focuses on how to improve the radiological identification of early sign of cancer. It concentrates upon: the potential use of eye movement information for future training in interpreting mammograms; the potential for providing computer-based interpretation training using low-cost and hand-held devices. The PERFORMS project on breast screening providing training and self assessment for screening personnel has been funded by the England screening programme over many years. Her current work is also extending this into breast tomosynthesis (DBT). She is also working on lung cancer screening, CT colonoscopy screening and most recently personalized screening. She is Director of Applied Vision Research Centre, honorary member of Royal college of Radiologists.
- Prof Paul Chung, Professor
His research interests include safety related systems, adaptive workflow systems, machine learning, case based reasoning and virtual reality.
- Dr Georgina Cosma, Senior Lecturer
Her research interests strongly reside in the areas of Artificial Intelligence (A.I), Natural Language Processing, and data science. She is particularly interested in: the development of innovative deep learning algorithms for fusing and aligning multi-modal data; identifying the limitations of A.I when applied to real-world scenarios and developing solutions to overcome those limitations; and ethical and continual lifelong machine learning. She has published extensively in high impact factor journals and reputable conference proceedings. She is an active reviewer and panel member of EPSRC; and actively reviews for many other review councils. She is currently supervising PhD students on the topics of developing novel A.I algorithms for: detecting defects on surfaces; multi-modal data alignment for information retrieval; and for optimising integrated care pathways of patients.
- Dr Christian Dawson, Senior Lecturer
His research interests are in artificial intelligence, particularly artificial neural networks and their application to real-world problems such as hydrological forecasting. He is also interested in climate change and modelling future climate scenarios.
- Prof Ray Dawson, Professor
Ray Dawson is Professor of Knowledge Management and Knowledge Management, particularly the design, implementation and evaluation of Knowledge Management systems is Ray's principle research interest area. In addition, Ray is interested in the successes and failures of all systems implementation, and the associated software project management, including quality management, configuration management and cost evaluation. Ray also has an interest in social engineering aspects of systems security. The focus of Ray's work is on business and industry working practices and what happens in reality rather than theoretical models.
- Prof Eran Edirisinghe, Professor
His main research interests include mage/Video processing, enhancement and coding, computer vision and machine Learning, pattern recognition, mobile computing & applications, multi-core architectures, image/video capture, transmission and display systems.His research has been funded by the EPSRC, TSB and industry. He has acted as a reviewer for many esteemed journals, international grant awarding bodies and on various advisory roles to industry and public sector organisations. He is currently Associate Dean for Enterprise for School of Science.
- Dr. Hui Fang, Lecturer
His research interest is applying visual computing and AI technologies for digital healthcare, precision agriculture, business intelligence, environment change monitoring, and contemporary transportation systems.
- Dr Syeda Fatima, Lecturer
Her research interests lie in the area of autonomous agents and multiagent systems, specifically in resource allocation in multiagent systems using market based methods, and in agent mediated negotiation for the domain of electronic commerce using techniques from game theory.
- Prof Baihua Li, Professor
Her research focusses on computer vision, machine learning and deep learning. Primary research topics include human pose/activity/behavior recognition, wearable sensors, HCI, medical image processing, autonomous underwater vehicle, modelling and pattern recognition of large high-dimension multi-mode datasets. Virtual reality, computer graphics and visualization technology are secondary strands of my research. More than 70 papers have been published in prestigious journals and high impact conferences. Her research is supported by the Innovate UK, EPSRC, NHS and industry.
- Dr Russell Lock, Senior Lecturer
His current research interests include socio-technical systems design/modelling/analysis, and sensor data gathering and analysis. The research Russell completes is applied with an emphasis on bridging the gap between academic theory and industrial practice.
- Prof Qinggang Meng, Professor
He is a Professor of Robotics and Artificial Intelligence. His main research interests include biologically and psychologically inspired learning algorithms, service robotics, robot learning and adaptation, deep learning, verification and validation of autonomous systems, multi-UAV cooperation, human motion analysis and activity recognition, ambient assisted living, sensing and decision making for driverless vehicles, agricultural robots, underwater robots. His research is supported by EPSRC, Newton Fund, Innovate UK, and industry, with about £1M ongoing grants. He has an excellent publication record on top level journals. He is an Associate Editor for IEEE Transactions on Cybernetics.
- Gerald Schaefer, Senior Lecturer
His research interests are mainly in the areas of colour image analysis, image retrieval, physics-based vision, medical imaging, and computational intelligence. He has published extensively in these areas with a total publication count exceeding 450. He is/was a member of the editorial board of more than 20 international journals, has reviewed for over 140 journals and served on the programme committee of more than 400 conferences. He has been invited as keynote or tutorial speaker to numerous conferences, is the organiser of various international workshops and special sessions at conferences, and the editor of several books, conference proceedings and special journal issues.
- Dr Andrea Soltoggio, Senior Lecturer
His research interests focus on 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.
- “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