Professor Bogdan Matuszewski
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Bogdan heads Computer Vision and Machine Learning (CVML) Research Group and is deputy director of Research Centre in Engineering. He has an extensive network of collaborators in academia, industry and healthcare sectors. He participated in 24 projects, leading 11 of them, and secured in excess of £2.5M in direct research funding. His main research area is in computer vison and machine learning. He produced more than 150 publications and won several awards for his research.
Professor Matuszewski is research active within the areas of digital engineering, computing and healthcare technology. He heads the Computer Vision and Machine Learning (CVML) Research Group, the Robotics and Computer Vision Laboratory and chairs the University 3D Imaging Working Group. He is deputy director of the UCLan Research Centre in Engineering. He is a member of the UCLan THRIVE Research Centre, leading the Building Blocks of Wellbeing (psychology, bioscience, bioimaging) Group. He is also active in the Applied Digital Signal and Image Processing (ADSIP) Research Centre and the Advanced Digital Manufacturing Technology (ADMT) Research Centre. He has been instrumental in developing an MSc course in Applied Data Science, where he teaches Artificial Intelligence and Machine Learning module.
He has active collaborative links with industry and a number of hospitals and universities across Europe. On his current project, funded by the Science and Technology Facilities Council (STFC) Cancer Diagnosis Network+, he is developing an automated system for decision support in colonoscopy. As project principal investigator he collaborates with both national and international partners including, East Lancashire NHS Hospitals Trust (ELHT), STFC DiRAC Supercomputer Facility, ENSEA’s ETIS Cergy-Pontoise and Sorbonne Universities.
Professor Matuszewski is a member of the Institute of Electrical and Electronics Engineers (IEEE), the British Machine Vision Association (BMVA), and the Medical Image Computing and Computer Assisted Intervention Society (MICCAI). He has published over 150 research papers in different areas of computer vision and medical image processing and supervised 16 PhDs to successful completion. He has been a work package leader for the FP7 funded “SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring (SEMEOTICONS)” project. He was principal investigator for the EPSRC funded ECSON (EP/F013698/1), MEGURATH (EP/D077540/1) and TeRaFS (EP/H024913/1) projects. He has participated in 24 EU, Research Council, and industry funded research projects, including PIMHAI, INDeT, INDUCE, SPACERANE, JERI and DIAPS. He has led 11 of these projects. He has been a member of organising and reviewing committees for a number of conferences including: ICIP, SMC, FG, VISSAP, EST, MedViz, and GAMI. He organized/chaired 15 conference sessions including 6 at IEEE conferences: SPSympo’2019, ViMaBi’2019, IPTA’2019, IUCC’2015, ICIP’2014, SMC’2013, CYBCONF’2013, SMC’2012, ICIP’2011.
His PhD was in the area of inverse problems, since then his research interests have included: industrial and medical computer vision; use of Bayesian methodology for modelling, tracking and pattern recognition; and deformable models and their applications to data registration and segmentation. His most recent research projects include, deep learning, diffeomorphic image registration, level set segmentation incorporating prior shape and topology information, non-rigid structure from motion, and 3D dimensional data acquisition and analysis with emphasis on face analysis.
Current PhD Supervision:
- PhD Electronic Engineering, Wroclaw University of Science and Technology, Poland, 1996
- Mgr. Inż. Electronic Engineering, Wroclaw University of Science and Technology, Poland, 1990
- Second place at the Endoscopic Vision Challenge 2018 Gastrointestinal Image ANAlysis (GIANA), MICCAI, Grenada, 2018
- First place at the Endoscopic Vision Challenge 2017 Surgical Workflow Analysis in the SensorOR challenge, MICCAI, Quebec, 2017
- First place at the Endoscopic Vision Challenge 2017 Gastrointestinal Image ANAlysis (GIANA), MICCAI, Quebec, 2017
- Best Student Presentation Award, International Conference on Condition Monitoring and Diagnostic Engineering Management, COMADEM, 2017
- Best Paper Award, International Conference on Pattern Recognition Applications and Methods (ICRPAM), 2015
- Third place at the Stenoses Detection at the Coronary Artery Stenoses Detection and Quantification Challenge, MICCAI, Nice, 2012
- Best Student Paper Award, Medical Image Understanding and Analysis (MIUA) Conference, 2012
- Best Paper Award, British Machine Vision Conference (BMVC) Postgraduate Workshop, 2011
- The Sir Frank Whittle Award, 2004
- Third place in the European Region in the Texas Instruments worldwide DSP Challenge, 2001
- Innovation Award, BAE SYSTEMS, 2000
- Best Poster Award, Medical Image Understanding and Analysis (MIUA) Conference, 1998
- Computer Vision (CV)
- Machine Learning (ML)
- Digital Signal and Image Processing (DSIP)
- Medical Data Analysis
- Bayesian Methodology in CV, ML and DSIP
- Inverse Problems
- Real-Time Systems
- Member of Institute of Electrical and Electronic Engineers (IEEE)
- Member of Signal Processing, Computer and Control Systems IEEE Societies
- Member of British Machine Vision Association (BMVA)
- Member of Medical Image Computing and Computer Assisted Intervention Society (MICCAI)
- Fellow of Higher Education Academy
- EPSRC College Member
- Grand Reviewer for the French National Agency for Research (Agence Nationale de la Recherche ANR)
- Visiting Professor at ETIS, UMR CNRS 8051 – ENSEA – University of Cergy-Pontoise, Paris, France
- Visiting Professor at Otto Von Guericke University, Magdeburg, Germany
- Guest Professor at University of Vigo, Spain
- Grant proposal reviewer for: Engineering and Physical Sciences Research Council (EPSRC); Science and Technology Facilities Council (STFC); Medical Research Council (MRC); Biotechnology and Biological Sciences Research Council (BBSRC); National Institute for Health Research (NIHR); Cancer Research UK.
- External PhD examiner for: Cardiff University; Liverpool John Moorse University; University of Birmingham; University of Bristol; University of Liverpool; University of Bergen, Norway; Otto-von-Guericke University, Germany; University of Malta; University of Vigo, Spain.
- Reviewer for: Journal of Mathematical Imaging and Vision; Journal of Digital Imaging; Image and Vision Computing Journal; IEEE Transactions on Medical Imaging Journal; IEEE Transactions on Image Processing Journal; IEEE Transactions on Affective Computing Journal; IEEE Signal Processing Letters; IET’s Computer Vision Journal; Pattern Recognition and Pattern Recognition Letters.
Professor Matuszewski heads the Computer Vision and Machine Learning (CVML) Research Group. His main research interest is in data analysis, and in recent years he has mainly focused on analysis of visual information, working in the areas of medical and industrial computer vision and machine learning. He has led and participated in a number of externally and internally funded projects as well as supervised a large number of PhDs with a focus on developing new image/vision analysis algorithms and their use in real applications. He is particularly interested in the use of Bayesian methodology for data modelling, pattern recognition and tracking; statistical shape analysis; deformation modelling for model-based recognition, segmentation and registration; and applications of deep learning. Most recently he has developed interests in interpretable Machine Learning, with applications to autonomous exploration of unknown environments and medical diagnostics.
Grants
In excess of £3.3M awarded for 24 projects, with more than £3.2M from national and European funding bodies including, British Council, Engineering and Physical Sciences Research Council, Science and Technology Facilities Council (STFC) Cancer Diagnosis Network+, Higher Education Innovation Funding, EU Framework Programmes, and industrial companies (such as Alenia and BAE Systems), and internal funding of just over £100k.
The total value of all funded projects of around £31M.
A large number of collaborating partners, including commercial: COSMED SRL, DRACO Systems SL, FORTHNET, INTECS SPA, Airbus, Alenia, BAE Systems, Dassault, EADS; research: Linköping University in Sweden, Norwegian University of Science and Technology in Trondheim, University of Nice Sophia-Antipolis in France, AGH University of Science and Technology in Poland, Signals and Images Laboratory of the National Research Council (CNR) in Italy, ENSEA and Cergy-Pontoise University in France, French National Institute for Research in Computer Science and Control (INRIA), Sorbonne University, Otto von Guericke Universität in Germany, Jagiellonian University in Poland, Lyon Research Centre for Images and Intelligent Information Systems, CRNS in France; and clinical: Lancashire Teaching Hospitals NHS Foundation Trust (LTHTR), East Lancashire NHS Hospitals Trust (ELHT), and Christie Hospital.
Use the links below to view their profiles:
- Computer Vision and Machine Learning (CVML) Research Group
- UCLan Research Centre in Engineering
- UCLan THRIVE Research Centre
- Applied Digital Signal and Image Processing Research Centre
- Advanced Digital Manufacturing Technology Research Centre
- Professor Matuszewski has supervised 16 PhD and 2 MPhils to successful completion:
- Polyp Segmentation in Colonoscopy Images with Convolutional Neural Networks, Yunbo GUO, PhD, 2020
- Gland Instance Segmentation in Colon Histology Images, Li Yang WANG, PhD, 2020
- Distortion Correction for Non-Planar Deformable Projection Displays through Homography Shaping and Projected Image Warping, Onoise Gerald KIO, PhD, 2016
- 3D Non-Rigid Reconstruction with Prior Shape Constraints, Lili TAO, PhD, 2014
- Segmentation of Cell Structures in Fluorescence Confocal Microscopy Images; Hong GAO, MPhil, 2013
- Diffeomorphic image registration with applications to deformation modelling between multiple data sets, Bartłomiej PAPIEŻ, PhD, 2012
- Tracking Moving Objects in Surveillance Video, Peter DUNNE, PhD, 2012
- Deformable Object Modelling and Estimation for Metrology Guided Radiation Therapy, Piotr URBAN, MPhil, 2010
- Monte Carlo Solution to the Inverse Problem of Ultrasonic Defect Characterisation, Stephen MEIN, PhD, 2009
- 3-D Facial Expression Representation using Statistical Shape Model, Wei QUAN, PhD, 2009
- Estimation of 3D Human Motion Kinematics Model from Multiple Cameras, Chun-Xiao ZHANG, PhD, 2009
- An Investigation into the Development of Effective Solutions for Capturing 3D Scenes in Real-Time, Bo TANG, PhD, 2008
- Development of Image Processing Systems for Cosmic Ray Effect Analysis, Zoltan TOROK, PhD, 2007
- Feature-Based Automatic Registration of Images with 2D and 3D Models, Yan ZHANG, PhD, 2007
- Measurement and Analysis of Dynamic Loading in the Equine Hoof, Sarah HOBBS, PhD, 2007
- Advancing Acoustography by Development of Multi-Dimensional Signal Processing Algorithms for Non-Destructive Inspection, Michael BACH, PhD, 2006
- Registration of Images Containing Rigid Structures using Deformable Models and Its Medical Application, Jian-Kun SHEN, PhD, 2005
- Efficient Non-Destructive Testing of Large and Complex Shaped Aircraft Structures, John SMITH, PhD, 2005
- Member of the Reviewing Committee of the Medical Image Understanding and Analysis (MIUA) Conference, Oxford, 2020
- Invited lecture at the Department of Signal Processing System, Wrocław University of Science and Technology. Co-organised by the Polish Chapter of IEEE Signal Processing Society, Poland, 2019
- Invited talk at the Durham University as part of the Institute of Physics North East Branch Public Lecture Series, Durham, 2019
- Invited keynote talk at the Signal Processing Symposium (SPSympo’2019), Kraków, Poland, 2019
- Chair of Image Processing Session at the Signal Processing Symposium (SPSympo’2019), Kraków, Poland, 2019
- Co-organiser of the Workshop on Visual Computing and Machine Learning for Biomedical Applications (ViMaBi’2019) at the 18th International Conference on Computer Analysis of Images and Patterns (CAIP’2019), Salerno, Italy, 2019
- Co-organiser of the 4th International Workshop on Image Processing Techniques and Applications (IPTA’2019), co-located with the 23rd conference on Medical Image Understanding and Analysis (MIUA’2019), Liverpool, 2019
- Invited talk at the National Astronomy Meeting (NAM2019), Lancaster, 2019
- Organiser and chair of the Workshop on “Challenges & Advances in Biomedical Image Computing” at the Joint Research Day organised by the University of Central Lancashire, the East Lancashire Clinical Commissioning Group and the East Lancashire Hospital NHS Trust, Burnley, 2018
- Invited talk at the H2020 DigiArt Project Consortium Workshop, Sophia Antipolis, 2018
- Invited keynote talk at COMADEM 2017 Conference, Preston, 2017
- Member of the Program Committee of the Special Session on Smart Embedded Biomedical Devices for In Situ Physiological Signal Processing – Smart – BIODEV 2016 at the 9th International Conference on Bio-Inspired Systems and Signal Processing BIOSIGNALS 2016, Rome, Italy, 2016
- Member of the Program Committee of the International Workshop on Big Data and Smart Sustainable Society at the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC-2015), Liverpool, 2015
- Member of the Reviewing Committee of the IEEE International Conference on Image processing (ICIP’2015), Quebec, 2015.
- Keynote talk at the International Workshop on Biomaterial Innovations: Towards Repair of the Human Body, Cergy-Pontoise, Paris, 2014
- Organiser of the Special Session on Advances in Facial Morpho-Functional Sign Recognition and Analysis at the IEEE International Conference on Image processing (ICIP’2014), Paris, 2014
- Member of the Reviewing Committee of the IEEE International Conference on Image processing (ICIP’2014), Paris, 2014
- Member of the Reviewing Committee of the IEEE International Conference on Image processing (ICIP’2013), Melbourne, 2013
- Organiser of the Special Session on Smart Technologies for Civil Applications of Unmanned Aerial Vehicles at the IEEE International Conference on Systems, Man, and Cybernetics (SMC’2013), Manchester, 2013
- Organiser of the Special Session on Affective State Recognition in Human Computer Interaction at the IEEE International Conference on Cybernetics (CYBCONF’2013), Lausanne, Switzerland, 2013
- Member of the Program Committee of the IEEE Automatic face and Gesture Recognition FG 2013 conference, 2013
- Organiser of the Special Session on Modelling Tools for Complex Diffusion Processes at the International Conference on Computer Vision Theory and Applications (VISSAP’13), Barcelona, 2013
- Organiser and Chair of the Special Session on Recent Advances in Affective Computing at the IEEE International Conference on Systems, Man, and Cybernetics (SMC’2012), Seoul, 2012
- Member of the Reviewing Committee of the IEEE International Conference on Image processing (ICIP’2012), Orlando, 2012
- Member of the Reviewing Committee of the IEEE International Conference on Image processing (ICIP’2011), Brussels, 2011
- Organiser and Chair of the Special Session on Analysis of Microscopy and Reconstructive Images for Applications in Medicine and Biology at the IEEE In
Telephone:+44 (0)1772 893250
Email: Email:Professor Bogdan Matuszewski
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