and their Research
Processing...
| Collage | School | Topic of the project | Lead researcher | Lead researcher | Lead researcher esteem | Collab Internal | Collab External | Outputs | Fundings | Plan for next 2 years | PhD supervision of relevant projects | Public engagement | How has your research informed/will inform teaching |
|---|
Collage | School | Topic of the project | Lead researcher | Lead researcher | Lead researcher esteem | Collab Internal | Collab External | Outputs | Fundings | Plan for next 2 years | PhD supervision of relevant projects | Public engagement | How has your research informed/will inform teaching |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DCDI | CSE | Ai Use in Cyber Security for data analysis and tracking | Dr Ayman El Hajjar | a.elhajjar@westmimnster.ac.uk | - | - | Adrian Kingwell, Mezzo Labs | KTP UK innovate- Algorithm that tracks anomalies in the usage of private data | [External] Adrian Kingwell, Mezzo Labs [Internal] Ayman El Hajjar, Dimitris Parapadakis university of Westminster [Submitted, received and completed. KTP] | - | PhD Director of studies for three PhD students in the field of Cyber security. | - | Many of our MSc Cyber Security and Forensics conduct their MSc projects on this topic. This is because we emphasise on this topic in several lectures, and we discuss how AI will enhance cyber security posture and how it can also disrupt their work as malicious actors will also use it. |
| DCDI | CSE | The use of AI to filter traffic in home environments | Dr Ayman El Hajjar | a.elhajjar@westmimnster.ac.uk | - | - | - | Design of software and the AI algorithm to monitor traffic in real-time | [Internal] Ayman El Hajjar, Tamas Kiss, Dimitris Parapadakis [Submitted, received and completed. UK Innovate CYBER ASAP] | - | PhD Director of studies for three PhD students in the field of Cyber security. | - | Many of our MSc Cyber Security and Forensics conduct their MSc projects on this topic. This is because we emphasise on this topic in several lectures, and we discuss how AI will enhance cyber security posture and how it can also disrupt their work as malicious actors will also use it. |
| DCDI | CSE | Enhancing Data Mining Systems via Ontological Semantic Methods | Natalia Yerashenia | Lecturer in Data Science and Analytics, MSc projects Supervisor for Business Intelligence & Analytics students, British Computer Society academic member, IEEE Conference of Business Informatics conference speaker (2022) | Alexander Bolotov, David Chan You Fee | - | Our team is developing an AI-driven data mining system that utilizes ontological semantic methods to automate analytical conclusions. This system, designed with a particular use-case of financial data prediction such as stock prices, leverages machine learning techniques to manage substantial heterogeneous data, effectively integrating AI with ontology and graph-based methods. The output of this research will be a groundbreaking data preprocessing and feature selection strategy for AI models, improving the efficiency of data mining in the financial sector. | - | Over the next two years, our primary focus will be integrating semantic components into our data mining system, enabling AI to contextually interpret data. We aim to formalize theoretical concepts using RDF or OWL Ontology to establish a unified framework for data analysis, specifically targeting financial data prediction. We also intend to create a comprehensive library of concepts for users and developers, facilitating better collaboration in AI and data analysis projects within the finance sector. | - | Presenting current outcomes on IEEE Conference of Business Informatics conference speaker (June, 2022) | This research provides practical insights into the merging of AI and ontological semantic methods, thereby deepening our understanding of data mining systems. We aim to leverage these insights to teach students the practical applications of advanced AI and data pre-processing methodologies in real-world contexts, thereby strengthening their proficiency in AI-driven data analysis. | |
| DCDI | CSE | CODEMATICS: Bridging Mathematics and Programming Modules for BSc in Computer Science students | Natalia Yerashenia | Lecturer in Data Science and Analytics, MSc projects Supervisor for Business Intelligence & Analytics students, British Computer Society academic member, IEEE Conference of Business Informatics conference speaker (2022) | Alexander Bolotov, Ester Bonmati Coll, Barbara Villarini | - | Through CODEMATICS, we aim to create a conceptual mapping between level 4 mathematics and software development. This map will serve as an open-access resource for students. We are constructing a website that hosts a task library illustrating the intersection of math and programming principles in problem-solving. Additionally, we strive to formulate a methodology to evaluate the synergy effect of math and computing on student learning. | - | We intend to expand the conceptual map to cover higher education levels and enrich the task library with additional relevant examples. We will also investigate the pedagogical implications of the synergy between computational and mathematical thinking and consider potential opportunities for integrating mathematics into other disciplines. | - | CODEMATICS University of Westminster workshop (April, 2023) | Our research is fundamental in understanding and teaching the intrinsic relationship between maths and software development. The conceptual mapping, task library, and methodologies developed through CODEMATICS will directly benefit students, while providing educators with deeper insights into student needs. We anticipate the outcomes of this project to be directly implemented in relevant modules, impacting a large student population. This will provide students with practical problem-solving insights and a strong foundation for later studies in AI and Data Analysis. | |
| DCDI | CSE | Towards text-based Process Mining | Rolf Bänziger | r.banziger@westminster.ac.uk | - | - | - | Bänziger, R.B., Basukoski, A., Chaussalet, T. (2023). Discovering Process Models from Patient Notes. In: Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2023. ICCS 2023. Lecture Notes in Computer Science, vol 10475. Springer, Cham. https://doi.org/10.1007/978-3-031-36024-4_18 Banziger, R.B., Basukoski, A. and Chaussalet, T., 2018, June. Discovering Business Processes in CRM Systems by leveraging unstructured text data. In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 1571-1577). IEEE. | Self-funded | Submit paper to top Process Mining Conference. Investigate combination of text-based Process Mining and discrete event simulation. Publish PhD Thesis. | |||
| DCDI | CSE | Generative AI for Programming Education | Roubert | s.roberts4@westminster.ac.uk | - | - | WIUT | - | WIUT-UOW RESEARCH COLLABORATION FUND 2023 [Submitted] | WP1. Literature review and identification of potential areas of intervention WP2. Testing Potential of generative AI in programming classrooms WP3. Designing formative assessment WP4. Data collection WP5. Evaluating students' understanding WP6. Evaluating students' input on feedback WP7. Analysis and results | Research Project on Generative AI for Programming Education is expected to have a direct impact on our teaching and inform the way generative AI can be used to support teaching and learning activities, assessment design and conduct, and the provision of constructive feedback. | ||
| DCDI | CSE | Sentiment analysis for financial forecasting | Roubert | s.roberts4@westminster.ac.uk | - | - | - | - | supervision with Dr Chountas | ||||
| DCDI | CSE | AI and Vehicular Sensing | Dr Anastasia Angelopoulou | - | - | - | Hertfordshire University, UK, Karunya University, India and Alicante University, Spain | 16 published outputs in journals and conferences since 2013 | - | - | - | - | - |
| DCDI | CSE | Data privacy and AI | Dr Anastasia Angelopoulou | - | - | Law school at Westminster | - | - | - | - | - | - | - |
| DCDI | CSE | AI driven Applications for the automatic segmentation and reconstruction of abdominal organs from medical images | Dr. Barbara Villarini | b.villarini@westminster.ac.uk | Keynote and Invited Speaker: - 05/08/2023 - Keynote speaker - 4th International Conference on Innovations in Info-business & Technology (ICIIT 2023) Artificial Intelligence for the Automatic Organ Reconstruction and Morphological Features Extraction from Medical Images. The Impact on Healthcare. - 03/09/2022 Invited speaker - Royal Academy of Engineering – Research Programme Induction Event - AI-Driven Organs Analysis and Reconstruction for Medical Application - 05/2022 Keynote speaker - WIUT-UoW Computing Conference 2022 - 11/05/ 2023 – Invited Speaker for “The Value of Design & the Arts for Collaborative Healthcare Interventions - UoW Workshop” - 26/02/2021 - UCL - Computer Assisted Navigation, Diagnosis and Intervention Seminars – UCL - 13/05/2021 Research talk, Computational Radiology Lab, Harvard Medical School - 3D Deep Learning for Organ Segmentation from medical images Consulting/Advisor: 23/03/2023 Member of External Advisory Board for a European EU project called TERMINET (https://terminet-h2020.eu) Programme: H2020-ICT-2020-1 Conference Organization: IoTI5 2023 – Organizing Committee 5th International Workshop on IoT Applications and Industry 5.0. Coral Bay, Pafos, Cyprus, June 19 to 21, 2023 To be held in conjunction with IEEE DCOSS-IoT 2023 Link: http://ioti5-2023.cs.ihu.gr/committees Memberships: I am member of the: - IEEE Institute of Electrical and Electronics Engineers - TCCL Technical Committee on Computational Life Sciences. - BMVA – The British Machine Visio Association Committee Member: MICCAI 2023 – Medical Image Computing and Computer Assisted Intervention (every year since 2017) CBMS 2023 – IEEE International Symposium of Computer Based Medical Systems LIM 2021 – London Imaging for Deep Learning ICDP 2019 – International Conference on Imaging for Crime Detection and Prevention Regular Reviewer for: Data Mining and Knowledge Discovery – Springer Information Sciences – Elsevier IEEE Transactions on Multimedia Signal Processing: Image Communication –Elsevier MDPI Sensors SPIE journal of Medical Imaging | Prof. Jimmy Bell, Prof. Louise Thomas | Harvard medical School, Boston Children’s Hospital, UCL | * Royal Academy Of Engineering Research Fellowship (09/2020-01/2022) *Web application for the automatic organ reconstruction - open source and available online *Journal and Conference publications: Asaturyan, H., Villarini, Barbara, Sarao, Karen, Chow, Jeanne S, Afacan, Onur and Kurugol, Sila 2021. Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function. Sensors. 21 (23) 7942. B. Villarini, H. Asaturyan, S. Kurugol, O. Afacan, J.D. Bell, E.L. Thomas. “3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities”. 34th IEEE International Symposium on Computer-Based Medical Systems (June 2021) - Best Paper Award (First Classified) Villarini, B. and Asaturyan, H. 2022. AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images. IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS). Los Angeles, California 30 May - 01 Jul 2022 IEEE . Asaturyan, H., Thomas, L. E., Fitzpatrick, J., Bell, D. J. and Villarini, B. (2019). Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function. International Workshop on Machine Learning in Medical Imaging (MLMI) in conjunction with International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019, Springer. Asaturyan, H., Thomas, E.L., Bell, J.D., Villarini, B., “A Framework for Automatic Morphological Feature Extraction and Analysis of Abdominal Organs in MRI Volumes”, Journal of Medical Systems, Springer (December 2019) | [External] Start Date: 11 November 2018 End Date: 31 October 2020 Project title: Evolution of Enriched-Phenotypes for Health Exploration and Discovery Funder: Calico Funding received: £570,170.00 Status: Awarded PI: Jimmy Bell Co-I: Louise Thomas, Barbara Villarini [Internal] Submission Date: June 2021 Funding: Research Development Office – University of Westminster Duration: 24 months Award: Research development Award Funding awarded: £10,000.00 Submission date: April 2022 Project Title: Swarchestrate - Swarm-based distributed self-organising application-level orchestrator for the cloud to things continuumArchitecture Call: HORIZON-CL4-2023-DATA-01-04 Duration: 36 months Funding requested: €722,692.00 PI: Tamas Kiss Co-I: Gabor Terstyanszky, Barbara Villarini, Francesco Tusa Result: Submitted | In the last few years, I have been working on a research project on “AI-driven Organ Reconstruction and Morphological Features Extraction from Medical Images” awarded by the Royal Academy of Engineering -Leverhulme Trust Research Fellowship. The project helped to consolidate collaborations with world-leading institutions such as Harvard Medical School and University College London. The projected lead to numerous publications and one best paper award in the IEEE Conference of Computer Based and Medical System. The project has been considered with a great potential for impact in the health system and currently, with the support of the College Director Prof. Gregory Sporton and the Research Office, we are planning to hire a REA for few months in order to improve the prototype, including 3D visualisation and VR features, and make it usable in real case scenarios. The aim is to produce a strong first prototype and then apply for WelcomeTrust or MRC’s grant at the beginning of next academic year and involve a company that could be interested in a potential commercialisation of the framework. | 2016-2020– Director of Studies Hykoush Asaturyian “Automatic Pancreas Segmentation and 3D Reconstruction for Morphological Feature Extraction in Medical Image Analysis”, Awarded PhD with no corrections. External Collaboration: Harvard Medical School, Boston children’s Hospital 2021/22 -today – Director of Studies- Miss Rim El Badaoui “Title Robust Federated Deep Learning for Brain Tumour Segmentation & Classification on multimodal medical images”. | Conference Organization: IoTI5 2023 – Organizing Committee 5th International Workshop on IoT Applications and Industry 5.0. Coral Bay, Pafos, Cyprus, June 19 to 21, 2023 To be held in conjunction with IEEE DCOSS-IoT 2023 Link: http://ioti5-2023.cs.ihu.gr/committees Memberships: I am member of the: - IEEE Institute of Electrical and Electronics Engineers - TCCL Technical Committee on Computational Life Sciences. - BMVA – The British Machine Visio Association Committee Member: MICCAI 2023 – Medical Image Computing and Computer Assisted Intervention (every year since 2017) CBMS 2023 – IEEE International Symposium of Computer Based Medical Systems LIM 2021 – London Imaging for Deep Learning ICDP 2019 – International Conference on Imaging for Crime Detection and Prevention Regular Reviewer for: Data Mining and Knowledge Discovery – Springer Information Sciences – Elsevier IEEE Transactions on Multimedia Signal Processing: Image Communication –Elsevier MDPI Sensors SPIE journal of Medical Imaging Keynote and Invited Speaker: - 05/08/2023 - Keynote speaker - 4th International Conference on Innovations in Info-business & Technology (ICIIT 2023) Artificial Intelligence for the Automatic Organ Reconstruction and Morphological Features Extraction from Medical Images. The Impact on Healthcare. - 03/09/2022 Invited speaker - Royal Academy of Engineering – Research Programme Induction Event - AI-Driven Organs Analysis and Reconstruction for Medical Application - 05/2022 Keynote speaker - WIUT-UoW Computing Conference 2022 - 11/05/ 2023 – Invited Speaker for “The Value of Design & the Arts for Collaborative Healthcare Interventions - UoW Workshop” - 26/02/2021 - UCL - Computer Assisted Navigation, Diagnosis and Intervention Seminars – UCL - 13/05/2021 Research talk, Computational Radiology Lab, Harvard Medical School - 3D Deep Learning for Organ Segmentation from medical images | The research projects that I am working on and that I intend to propose are multidisciplinary works where computational techniques, image processing and artificial intelligence approaches are utilised to improve the medical field. This will have an enormous impact on the population wellbeing and health condition. This is perfectly in line with the “Being Westminster” strategy, which aims to make a stronger contribution to the world’ learning and wellbeing through our research. Furthermore, the interdisciplinary nature of the proposed research will unify the research community of Computer Science, Engineering, Life Sciences, Biomedical and Biology. Numerous research outputs will be produced and the teaching will be enriched by the research activity. The students will learn state-of-the-art approaches and techniques in the field of image processing and AI that could be applied in different fields and areas. This will have an impact on module such as Applied AI (Level 6 module), and also final years project could be linked to this research topic, providing valuable guidance and collaborations with external institutions. Furthermore, Collaborations with world-leading institutions will foster exchange programs that could enrich our students experience. In particular Harvard Medical School has already agreed to a 6-months exchange program with one of our PhD students. This kind of collaborations will bring vibrant opportunities to our students raising the University of Westminster visibility and recognition. |
| DCDI | CSE | Development of brain tumour segmentation methods based on deep learning and transformers | Dr. Barbara Villarini | b.villarini@westminster.ac.uk | - | Dr. Ester Bonmati, Dr. Alexandra Psarrou | - | El Badaoui, R., Bonmati Coll, E., Psarrou, A., Villarini, B. “3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation”, IEEE 36th International Symposium on Computer Based Medical Systems (CBMS) 2023. June 22-24 – L’Aquila, Italy (In press) | [External] Funding body: Royal Academy of Engineering – Leverhulme Trust PI: Barbara Villarini Result: Awarded Funding awarded: £66,133.00 [Internal] Submission Date: June 2023 Project title: AI-Driven Melanoma Detection at Early Stages with Mobile Application Call: WIUT-UOW RESEARCH COLLABORATION FUND 2023 Duration: 12 months Funding Requested: £9,600.00 Collaborators: Hamid Reza Shahbazkia, Barbara Villarini, Ester Bonmati, Shokhrukh Sultanov European Project: Call HORIZON-CL5-2023-D6-01-10. The project is about the development of a new monitoring and maintenance framework for providing and improving European urban and secondary rural roads safety. Budapest university is currently leading the project proposal. Project submission: 05/09/2023 | A second project that I would like to work next year is about the development of novel techniques for the early diagnosis of Crohn’s Disease. In particular, I aim to apply for an EPSRC New Investigator Grant: The idea is to build upon the fellowship project and apply AI, deep learning techniques, for multimodalities image registration for the early diagnosis and evaluation of the Crohn’s Disease. This will lead to the development of non-invasive and safe procedures improving the conditions of patients suffering of this disease. The proposed methods will be assessed in a clinical trial carried out at the Boston Children Hospital in collaboration with Harvard Medical School. Also, in collaboration with University of Perugia and Kingston University we are looking at the development of a deep learning federated approach for Brain Tumour segmentation from different medical images modalities and different medical images quality. Currently my PhD student is working on this project and the aim is to identify some external funding in order to have at least another researcher working on this topic. Furthermore, an application in collaboration with WIUT has been submitted to the WIUT-UOW RESEARCH COLLABORATION FUND 2023. The project aims to use AI techniques to develop an accurate system for the detection of skin cancer from mobile. Furthermore, I have been working on building consortium for the submission of proposal for the Horizon Europe Framework programme. In the 2022/23 academic year I have participated at two calls and I am currently awaiting the results for one of them. If the results are positive part of the research work will be dedicated to this project (my involvement is linked to the application of deep learning techniques for the understanding and analysis of images and data). | |||
| DCDI | CSE | Development of novel AI approaches for scene understanding with application in healthcare and autonomous vehicles | Dr. Barbara Villarini | b.villarini@westminster.ac.uk | - | - | Kingston University | Bandy, A.D., Spyridis, Y., Villarini, B. and Argyriou, V. 2023. Intraclass Clustering-Based CNN Approach for Detection of Malignant Melanoma. Sensors. 23 (2), p. 926. https://doi.org/10.3390/s23020926 Rajegowda, M.g., Spyridis, Y., Villarini, B. and Argyriou, V. 2023. An AI-Assisted Skincare Routine Recommendation System in XR. 2023 7th International Conference on Artificial Intelligence and Virtual Reality (AIVR2023). Springer. Kumamoto, Japan 23 July - 21 July 2023 Springer. Villarini, B., Radoglou-Grammatikis, P., Lagkas, T., Sarigiannidis, P. and Argyriou, V. 2023. “Detection of Physical Adversarial Attacks on Traffic Signs for Autonomous Vehicles”. THE IEEE INTERNATIONAL CONFERENCE ON INDUSTRY 4.0, ARTIFICIAL INTELLIGENCE, AND COMMUNICATIONS TECHNOLOGY. Bali, Indonesia 13 - 15 July IEEE. (In press) Li, V., Villarini, B., Nebel, JC. and Argyriou, V. 2023. “A Modular Deep Learning Framework for Scene Understanding in Augmented Reality Applications”. THE IEEE INTERNATIONAL CONFERENCE ON INDUSTRY 4.0, ARTIFICIAL INTELLIGENCE, AND COMMUNICATIONS TECHNOLOGY. Bali, Indonesia 13 - 15 July 2023 IEEE. (In press) V. Li, B. Villarini, J-C. Nebel, T. Lagkas, P. Sarigiannidis and A. Vasileios, “Evaluation of Environmental Conditions on Object Detection using Oriented Bounding Boxes for AR Applications”, 5th International Workshop on IoT Applications and Industry 5.0, in conjunction with IEEE DCOSS-IoT 2023, June 19-21 Pafos, Cyprus(In press) | - | A third EU project proposal is in preparation (Safe, Resilient Transport and Smart Mobility services for passengers and goods (HORIZON-CL5-2023-D6-01), to be submitted in September 2023. The aim is the development of a new monitoring and maintenance framework for providing and improving European urban and secondary rural roads safety. My contribution is related to the design development of AI approaches. The project proposal is currently led by Budapest University. My research interests are about applying AI and computer vision techniques also in other fields, e.g. for urban street safety and maintenance. One paper is in preparation on this topic as a mobile app has been developed for this purpose. Also, a paper has been recently accepted about the automatic detection of road signal attacks for autonomous vehicles. The paper will be presented next month to the IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communication Technology. All these applications could lead to a potential impact on the society, contributing to improve the quality of life through the use of technology. | |||
| DCDI | CSE | Distributed computing architectures to support AI applications | Tamas Kiss | t.kiss@westminster.ac.uk | Several conference keynotes, e.g. IOTBDS/Complexis 2023, PDGC 2020 Commercial platform to support manufacturing SMEs with cloud-based execution of AI-based Digital Twins: https://www.emgora.eu/ | Gabor Terstyanszky, Francesco Tusa, Hamed Hamzeh, Gabriele Pierantoni, Huseyin Dagdeviren, Jozsef Kovacs, James DesLauriers, Antonis Michalas, Amjad Ullah, Huankai Chen, Alim Gias, Yang Ma, David Chen You Fee, Dimitris Kagialis | - | 15+ journal publications, 30+ conference papers | [External] 8 EU projects with overall value for the University £4 million+ [Under review]: 1 EU proposal, value for UOW £700K+ | Developing a completely decentralised platform, based on SWARM computing and decentralised AI, to support data and computing intensive application execution in the cloud to edge computing continuum. | - | Invited lectures detailed in estemm. | In module 6BUIS018W Information Driven Entrepreneurship and Enterprise most of the industry facing research in heavily utilised. |
| DCDI | CSE | Medical imaging & AI | Ester Bonmati | e.bonmaticoll@westminster.ac.uk | I am a member of the Medical Image Computing and Computer Assisted Intervention Society I was part of the program committee at MICCAI 2022, the top conference in medical imaging: Link: https://conferences.miccai.org/2022/en/PROGRAM-COMMITTEE.html Which led to the outstanding area chair award: Link: https://conferences.miccai.org/2022/en/OUTSTANDING-AREA-CHAIR-AWARDS.html I was a reviewer for MICCAI 2021: Link: https://www.miccai2021.org/en/LIST-OF-REVIEWERS.html I am also a reviewer for UKRI (See review activity): Link: https://orcid.org/0000-0001-9217-5438 I am also a reviewer of multiple top international journals and conferences such as (selection): - Medical Image Analysis (Impact factor of 13.828) - https://www.sciencedirect.com/journal/medical-image-analysis - IEEE Transactions in Medical Imaging (Impact factor of 11.037) - https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=42 - Expert Systems with Applications (Impact factor of 8.665) - https://www.sciencedirect.com/journal/expert-systems-with-applications - Computer Methods and Programs in Biomedicine (Impact factor of 7.027) - https://www.sciencedirect.com/journal/computer-methods-and-programs-in-biomedicine - IEEE Journal of Biomedical and Health Informatics (Impact factor of 7.021) - https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221020 - International Journal of computer Assisted Radiology and Surgery (Impact factor of 3.421) - https://www.springer.com/journal/11548 And international conferences: - Medical Image Computing and Computer Assisted Intervention (MICCAI) - http://www.miccai.org/ - Information Processing Computer-assisted Interventions (IPCAI) - https://www.ipcai.org/home - Advances in Simplifying Medical UltraSound (ASMUS) - https://miccai-ultrasound.github.io/#/asmus23?id=organizers - Computer Assisted Radiology and Surgery (CARS) - https://www.cars-int.org/ Generative AI special interest group (UoW) | Barbara Villarini | - | Research papers, detection models | - | - | I supervise Rim El Badoui together with Dr. Barbara Villarini and Dr. Aleka Psarrou. This work is on brain segmentation using AI, and federative learning. The supervision has recently led to a conference presentation. | - | There are several ways in which I use my research to inform my teaching, as examples: - Show real-world examples: I used an example on medical image classification in cancer to demonstrate how AI can help in the medical domain. - State-of-the-art techniques: I use examples of recent papers to show students what is the state-of-the art in AI techniques. - Critical thinking: I use my research to develop student’s critical thinking skills, by looking at the outputs of AI and evaluating the impact of the results. |
| DCDI | CSE | Image synthesis | Ester Bonmati | e.bonmaticoll@westminster.ac.uk | Sophie Triantaphillidou | - | - | - | - | - | |||
| DCDI | CSE | AI & Cancer detection | Ester Bonmati | e.bonmaticoll@westminster.ac.uk | CANDI group (UCL) | Cancer detection models, research papers | - | - | - | - | - | ||
| DCDI | CSE | Effect of image quality in deep networks robustness | Dr Alexandra Psarrou | psarroa@westminster.ac.uk | leading positions in AI& Data related organisations/bodies/societies, conference chairing/PC membership, invited talks/lectures Special Session: Machine Learning and Deep Learning Methods applied to Vision and Robotics (MLDLMVR), Co-Chair, IJCNN 2023 17th International Work-Conference on Artificial Neural Networks (IWANN2023), program committee | Sophie Triantaphillidou/ Rob Jenkins | A framework for the metrification of input image quality in deep networks, Electronic Imaging Conference, January 2023 | [External] Sponsored PhD scholarship (through S. Triantaphillidou). 3 years scholarship started January 2023 | - | Mr Pooryaa Cheraaqee - Image Quality for Deep Learning | - | Research will inform module in MSc Applied AI, and UG /PG projects | |
| DCDI | CSE | Deep Learning for Brain Tumour | Dr Alexandra Psarrou | psarroa@westminster.ac.uk | Rim El Badaoui, Barbara Villarini, Ester Bonmati-Coll | 3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation, CBMS, June 2023 | - | - | Miss Rim El Badaoui - Robust Federated Deep Learning for Brain Tumour Segmentation & Classification on multimodal medical images | - | - | ||
| DCDI | CSE | Explainable AI | Dr Alexandra Psarrou | psarroa@westminster.ac.uk | J.M. Gorizz et al, Review paper with 20 collaborators | Computational Approaches to Explainable Artificial Intelligence: Advances in Theory, Applications and Trends, IWINAC 2022, International Work-Conference on the Interplay Between Natural and Artificial Computation, June 2022 | - | Expand this area of research towards valuation of image quality data using reinforcement learning and explainable AI | - | - | - | ||
| DCDI | CSE | Development and implementation of a Decision Support Software tool for service redesign including scenario generator. Exploration and development of novel hybrid data mining algorithms through process modelling and simulation | Salma Chahed | chaheds@westminster.ac.uk | leading positions in AI& Data related organisations/bodies/societies, conference chairing/PC membership, invited talks/lectures Associate editor – BMC Health Services Research (BMC HSR) - since January 2018 https://bmchealthservres.biomedcentral.com/about/editorial-board Member of programme committee for WIUT-UoW Computing Conference 2022: https://conference.wiut.uz/silkroadigital2022/ Member of a workshop Programme committee – The 4th International Workshop on Health Informatics: Patient-Centred Solutions and Educational Approaches in the Digital Health Era (IEEE HOPE'21) [part of the ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2021, Tangier, Morocco, Nov 30 – Dec 03, 2021] https://www.aiccsa.net/AICCSA2021/index.php/symposiums-and-workshop/2-uncategorised/72-hope21 Member of a workshop Programme committee – The International Workshop on Health Informatics: Patient-Centred Solutions and Educational Approaches in the Digital Health Era (HOPE’18) [part of the ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2018] http://aiccsa.net/AICCSA2018/2-uncategorised/48-hope18 (Co-)chair sessions at various conferences, e.g. GISEH, IMA, EURO | - | Hounslow Primary Care Trust | Tadjer, M., Chaussalet, T.J., Fouladinejad, F., Chahed, S. “Using data mining and simulation for health system understanding and capacity planning: an application to urgent care”, in: the 38th ORAHS conference, 15-20 July 2012, Enschede, the Netherlands. Tadjer, M., Chaussalet, T.J., Fouladinejad, F., Chahed, S., Saiyed, S. and Redzanovic, S. “Towards a full implementation of collaborative care plan. OR Informing National Health Policy”, in: Harper, P., Knight, V., Vieira, I., Williams, J. (eds.) Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference, 24-29 July 2011, Cardiff University. Demir, E., Chahed, S., Chaussalet, T., Toffa, S. and Fouladinajed, F. (2010) “A Decision Support Tool for Health Service Re-design”, Journal of Medical Systems, Volume 36, Number 2, 621-630. Chaussalet, T., Demir, E., Chahed, S. and Fouladinejad, F. “A tool for supporting health service redesign decisions”, in: the 36th ORAHS conference, 18 – 23 July 2010, University of Genova, Italy. | - | - | - | - | Research was used to inform teaching of Level 5 module “Business Analytics”: • Use of a simulation model developed as part of a KTP project to introduce simulation modelling which is one of the 4 topics covered in this module. • Use of a real-life case study/problem for a coursework: o Problem investigated during a postgraduate project for a coursework: The objective was about improving the performance of a one-stop clinic dedicated to GP referred chest pain patients. [Real problem but fictious data]. o Problem researched during a PhD project for a coursework: The main aim was about evaluating the neonatal care demand and adjusting the capacity of the neonatal care system accordingly. The students had to develop forecasting models to evaluate future neonatal care demand. [Real problem. Publicly available dataset was used instead of the originally used dataset for the PhD thesis. This data was obtained from Public Health Scotland website (https://www.isdscotland.org/health-topics/maternity-and-births/births/).] Use of examples extracted from my research interests and projects to explain certain analytical concepts and techniques, e.g. business analytics, data visualisation and dashboarding, service operations management. My research has also influenced the (re-)design of the BSc course I am leading, namely BSc Data Science and Analytics, e.g. programme structure and topics covered. |
| DCDI | CSE | Predictive Risk Modelling for Integrated Care | Salma Chahed | chaheds@westminster.ac.uk | - | Docobo | Chaussalet, T.J., Mesgarpour, M., Worrall, P. and Chahed, S. (2017). Emergency Readmission for Integrated Care (ERIC) Model: Using an Automated Feature Generation & a Multi-Task Learner. In: Operational Research Applied to Health Services 2017, 24 to end of 28 Jul 2017, Bath, UK. Mesgarpour, M., Chaussalet, T.J., Worrall, P. and Chahed, S. 2016. Predictive Risk Modelling for Integrated Care: a Structured Review. IEEE 29th International Symposium on Computer-Based Medical Systems. Dublin and Belfast 20 to end of 23 Jun 2016 IEEE. | [External] Docobo – SBRI (Small Business Research initiative) Healthcare – SBRI-COLAB-5731 (NHS England) ~ £156,000 – November 2015 – Jan 2019 - Predictive Risk Modelling for Integrated Care – PI: Thierry Chaussalet; Co-I: Philip Worrall and Salma Chahed | - | One PhD student, Nodira Nazyrova, started in October 2021 (QHT Studentship). APR2 approved. Supervisory team: • Director of study: Salma Chahed • Co-supervisors: Thierry Chaussalet and Miriam Dwek. • External collaboration for third part of PhD project: Dr Marc Farr, East Kent Hospitals University NHS Foundation Trust • Project topic: Identifying risk factors and predicting hospital readmission in older adults receiving home care services within 30 days of discharge. | - | - | |
| DCDI | CSE | Impact of temperature disparity on emergency readmissions | Salma Chahed | chaheds@westminster.ac.uk | Policy Studies Institute (PSI) at UoW | - | Islam, M.S., Chaussalet, T.J., Ozkan, N., Chahed, S., Demir, E. and Sarran, C. “The impact of temperature disparity on emergency readmissions and patient flows”, in: Olive, M. and Solomonides, T., (eds.) Proceedings of CBMS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom. | [External] Hounslow Primary Care Trust – EPSRC (50%)/Innovate UK(50%): • Partnership objective: Development and implementation of a Decision Support Software tool for service redesign including scenario generator. Exploration and development of novel hybrid data mining algorithms through process modelling and simulation •2 KTP associates •Lead academics: Thierry Chaussalet and Panagiotis Chountas; Knowledge Base team: Salma Chahed and Eren Demir •Grant amount: £160,968 + PCT contribution •Duration: November 2009 – March 2013 | - | - | - | - | |
| DCDI | CSE | Drug-Drug interactions and hospital readmission | Salma Chahed | chaheds@westminster.ac.uk | Dr Stephen Getting and Dr Miriam Dwek, School of Life science at UoW | - | Nazyrova, N., Chahed, S., Dwek, M., Getting, S.J. and Chaussalet, T.J. (2023). Discovering Drug-Drug Interactions using Association Rule Mining from Electronic Health Records. To be submitted to The 17th International Conference on Innovations in Intelligent Systems and Applications (INISTA 2023) [https://conferences.sigappfr.org/inista2023/] | - | - | - | - | - | |
| DCDI | CSE | Automated Verification of Software Specifications Algorithms for Proof Search and Model Checking Algorithms for Realisability Problem and Synthesis Algorithms for Problem-Solving Frameworks | Alex Bolotov | A.Bolotov@wmin.ac.uk | 2 International Projects (Collaboration with university of Liverpool, University of Manchester, University of Basque Country, University of Poznan, Moscow University, University of Lodz) | 15+ journal publications, 30+ conference papers Automated Model Checker for Certified Model Checking Software Realisability Solver | - | - | - | - | - | ||
| DCDI | CSE | Digital Health Evidence Generator: engaging students to develop its Computational Ontology with embedded Digital Equality principles (UoW Employability Project) Development of Ontology Based Assessment techniques for Digital Health Evidence Generation Creating a novel transitional educational content (as synergy of Mathematics, English and Generic Skills with the embedded socio/economic/community engagement dimension) for young Uzbek generation leaving high school and piloting it in Uzbek regions. | Alex Bolotov | A.Bolotov@wmin.ac.uk | Several Invited talks/lectures (e.g. Stanford University), PC Chair, UK Automated Reasoning Chair, Graph-Based Knowledge and Learning Platform SMARTEST (https://smartestknowledge.org/), SMARTEST was evaluated as one of the most influential QHT projects | David Chan (CPC), Emanuela Volpi (Life Sciences), Paulina Bondaronek (LAS) | 15 partners including universities, industry, research institutes | SMARTEST - Graph Based Knowledge and Learning Platform https://smartestknowledge.org/ | [External] Research UK Global Challenges Funding, QR International Collaboration - 75K [Internal] QHT funding (50K), Employability scheme (15K), UoW-WIUT collaborative fund (20K), Multiple Students as CO-creators Projects | Development- of Digital Health Evidence Generation ontology and an automated assessment system for digital health evidence generation Development of the fully functional software realisabilty solver Upgrade of the SMARTEST platform with Ontology Handling Engine and implementation of relevant visualisation techniques Integrating semantic components into the developed data mining system, enabling AI to contextually interpret data, formalisation of the theoretical concepts using RDF or OWL Ontology and development of the unified framework for data analysis, specifically targeting financial data prediction. Development of the comprehensive library of concepts for users and developers, facilitating better collaboration in AI and data analysis projects within the finance sector. Development of CS Ontology to assist Final Year Projects | Natalia Yerashenia (completed 2022) | Invited lectures detailed above, workshops on using the SMARTEST platform for WIUT pre-university courses, associated schools and colleges, Co-design workshop with Digital Health Innovators | - |
| DCDI | CSE | Enhancing Data Mining Systems via Ontological Semantic Methods | Alex Bolotov | A.Bolotov@wmin.ac.uk | David Chan (CPC) | 2 conference papers | - | - | - | - | - | ||
| DCDI | CSE | AI and Machine Learning Technologies for IoT | Djuradj Budimir | d.budimir@wmin.ac.uk | Westminster International University of Tashkent and Qualcomm Technologies, USA | Conference paper | EPSRC panel member, conference chair, IEEE TC member | Supervising four relevant PhD projects. | My teaching is mainly a research based | ||||
| DCDI | CSE | 5G IoT technologies | Djuradj Budimir | d.budimir@wmin.ac.uk | University of Essex | Appx £1.5 m, EPSRC grant, Awaiting ICT panel decision | EPSRC panel member, conference chair, IEEE TC member | Supervising four relevant PhD projects. | My teaching is mainly a research based | ||||
| DCDI | CSE | AI for 6G technologies | Djuradj Budimir | d.budimir@wmin.ac.uk | University of Birmingham, University of Glasgow, The University of Manchester Surrey University QMUL NPL | Appx £3.5m, EPSRC grant, In preparation | EPSRC panel member, conference chair, IEEE TC member | Supervising four relevant PhD projects. | My teaching is mainly a research based | ||||
| DCDI | Architecture and Cities | Use of AI for sustainability and decarbonisation practices in logistics and supply chains | Jacques Leonardi | j.leonardi@westminster.ac.uk | Research of Amr Fawzy Title: The Impact of Artificial Intelligence on Sustainable Logistics Practices | ||||||||
| DCDI | Architecture and Cities | VivaCity AI traffic/active travel flows | Rachel Aldred | r.aldred@westminster.ac.uk | Active Travel Fund: Local Authority Capital Funding - ‘Active Travel Fund Evaluation’ | ||||||||
| DCDI | Architecture and Cities | Predictive ML models for airline’s operations management | Andrew Cook | cookaj@westminster.ac.uk | |||||||||
| DCDI | Architecture and Cities | Data analysis (e.g. clustering) for analysis and modelling of flight traffic and trajectories. | Andrew Cook | cookaj@westminster.ac.uk | |||||||||
| DCDI | Architecture and Cities | Reinforced learning for airline processes optimisation | Andrew Cook | cookaj@westminster.ac.uk | |||||||||
| DCDI | Architecture and Cities | Meta-modelling and active learning for air transport modelling. | Andrew Cook | cookaj@westminster.ac.uk | |||||||||
| DCDI | Architecture and Cities | Multi-agent based simulation including machine learning models to describe operational processes | Andrew Cook | cookaj@westminster.ac.uk | |||||||||
| DCDI | Media and Communications | Deepfakes/synthetic media | Graham Meikle | G.Meikle@westminster.ac.uk | |||||||||
| DCDI | Media and Communications | Critical AI/data Studies, AI in media, Participatory AI/ML, AI for the Social Good, news personalisation | Pieter Verdegem | p.verdegem@westminster.ac.uk | |||||||||
| DCDI | Media and Communications | Critical AI/data studies, AI for the Social Good, Decolonizing AI | Andrea Medrado | a.medrado@westminster.ac.uk | |||||||||
| DCDI | Media and Communications | Deepfakes/synthetic media | Sam Gregory | Executive Director of WITNESS (New York). | PhD comprises a portfolio of reports and articles on deepfakes. Heavily involved in interdisciplinary work in this area, including content authenticity initiatives with partners including Adobe, BBC, Microsoft, New York Times, and major public outreach/KE projects such as WITNESS/MIT YouTube series Deepfakery. | ||||||||
| DCDI | Media and Communications | Media/digital policy, public service media, AI policy and regulation | Maria Michalis | m.michalis@westminster.ac.uk | |||||||||
| DCDI | School of Arts | The Virtual Image | Prof David Bate / Dr Paula Gortazar | Multiple grants sought. Published research already across prestigious Journals and events with Photographers Gallery | |||||||||
| DCDI | School of Arts | Artificial intelligence and the everyday: grassroots knowledge through co-creative practice | Dr Matthias Kispert | Post Doctoral Researcher based in CREAM | |||||||||
| DCDI | School of Arts | Site Assembly; Virtual Assembly and Site Integrity | Dr Julie Marsh | Ongoing research with RIBA | |||||||||
| DCDI | School of Arts | Immersion and Creative Technology | Dr Lucy Harrison / Dr Kirsten Hermes | ||||||||||
| DCDI | School of Arts | AI & Ecological Systems Illustrations / Immersion | Dr Shezad Dawood | Senior Research Fellow. 0.2 with International Profile | Dawood works with his own production company UBIK on multiple large scale Museum commissions. Working with scientists and animators, his VR work has been commissioned by Frieze, Sharjah Biennale and multiple venues. | Dawood will be developing new Project with Design Observatory for 2024-5 and is one of our planned Impact case studies. | |||||||
| LAS | Law | Synthetic Voices: creation, legal status and ownership'. | Dr Danilo Mandic | D.Mandic@westminster.ac.uk | |||||||||
| LAS | Law | ADI and Data protection law | Dr Diana Sancho | D.Sancho1@westminster.ac.uk | collaboration with computer science | ||||||||
| LAS | Law | Cryptocurrencies, blockchain and legal regulation | Dr Daniela Gandorfer | D.Gandorfer@westminster.ac.uk | |||||||||
| LAS | Life Sciences | Computational Genomics Sex and Ancestry Bias across global datasets Policies for EDI in Precision Medicine Development of Markers for Longevity | Manuel Corpas | 2023 Enhanced consumables bid (£3.5k), University of Westminster to sequence breast cancer patients from Uganda Biobank 2022 University of Westminster Internal School of Life Sciences PhD studentship. My proposal was among the 3 accepted from 3 submissions for PhD projects. (£42,330) 2022 Enhanced consumables bid (£6k), University of Westminster to access tier 2 data from the UK Biobank. 2020 European Commission (EASI-Genomics): whole exome sequencing of 100 COVID-19 patients from the first wave of the infection, with the possibility of further funds for whole genome sequencing of up to 300 samples. Estimated value: euro 50K. Role co-PI, lead the genome analysis part. 2017 NIH Data Commons Pilot Phase: FAIR Data to Drive Cures (total grant value; $800K). PI: Brandi Davis-Dusenbery | |||||||||
| LAS | Life Sciences | Computational genomics in breast cancer with a focus on underrepresented groups and on glycosylation pathways. | Miriam Dwek | m.v.dwek@Westminster.ac.uk | Manuel Corpas | ||||||||
| LAS | Life Sciences | Discovering adverse drug-drug interactions from Electronic Health Records. | Miriam Dwek | m.v.dwek@Westminster.ac.uk | Steve Getting, Salma Chahed and Thierry Chassaulet | ||||||||
| LAS | Life Sciences | Deep-learning analysis of MRI images using UK Biobank data | Profs Jimmy Bell and Louise Thomas | j.bell@westminster.ac.uk L.thomas3@westminster.ac.uk | Evolution of Enriched-Phenotypes for Health Exploration and Discovery funded by Calico LLC £3,493.292 3 rounds of funding 2018-2020, 2020-2022 and 2022-2025 | ||||||||
| LAS | Life Sciences | Deep-learning prediction of MRI based body composition from simple anthropometric measurements | Profs Jimmy Bell and Louise Thomas | j.bell@westminster.ac.uk L.thomas3@westminster.ac.uk | Prediction of visceral and liver fat Muscle by Deep-Learning methodology funded by Antidote Holdings LTDB £91,389 2021-2022 | ||||||||
| LAS | Life Sciences | AI-driven sustainable food-waste solutions | Dr Dipankar Sengupta | d.sengupta@westminster.ac.uk | QHT (Quintin Hogg Trust) funded project (£22,000; 2022-24). Also, this project is vertically integrated with ‘Engaging Students in Research and Knowledge Exchange’ project and has additional funding for ~40 student research interns. | ||||||||
| LAS | Life Sciences | Precision Medicine: Algorithms for Patient Diagnostic and Prognostic (Longitudinal Analysis) Applications | Dr Dipankar Sengupta | d.sengupta@westminster.ac.uk | 1. Development of business intelligence model of personnel at higher altitude for health care analysis and prediction [₹ 1,000,000; 2012-14] funded by DIHAR, DRDO, India. 2. BridgeIRIS (http://bridgeiris.ibsquare.be) – Brussels big data platform for the sharing and discovery in Clinical Genomics [€1,187,017; 2014-2016] funded by Innoviris Brussels, Belgium. 3. IMAGica - Integrative personalised Medical Approach for Genetic diseases [€300,000; 2016-21] funded by IRP, VUB, Belgium. | This is ongoing research (10+ years), focusing on developing AI algorithms (Supervised/Unsupervised/Semi-supervised learning) exploring the large heterogenous clinical and omics datasets (India, Belgium, and UK). | |||||||
| LAS | Life Sciences | AI models for assessing DNA damage repair in cancer cells | Dr Kalpana Surendranath | k.surendranath1@westminster.ac.uk | |||||||||
| LAS | Life Sciences | AI image analysis of immunohistochemical, immunofluorescent and in situ hybridisation of tissue sections | Dr Joan Liu | j.liu@westminster.ac.uk | |||||||||
| LAS | Life Sciences | Analysis and evaluation of human tissue biopsy and postmortem samples to assist in classification | Joan | ||||||||||
| LAS | Life Sciences | Diagnosis and treatment options for patients with Epilepsy and other neurological diseases | Joan | ||||||||||
| LAS | Social Sciences | AI in relation to ethics, biases, explainability, social impact, democratic governance | Professor Nitasha Kaul | Technology and Diversity roundtable at the Difference Festival in February 2023 with colleagues from life sciences/ mathematics/ computing to discuss this. | Kaul, N. (2022) "3Es for AI: Economics, Explanation, Epistemology", Frontiers in Artificial Intelligence, pp. 1-15. https://doi.org/10.3389/frai.2022.833238 | ||||||||
| LAS | Social Sciences | Assessing acceptability, Utilisation and Disclosure of Health Information to an automated chatbot for advice about sexually Transmitted infections in minoritisED ethnic populations - AUDITED | Dr Tom Nadarzynski | T.Nadarzynski@westminster.ac.uk | NIHR - AI_HI200028; £240,838.00; 10/2021 to 09/2023 | ||||||||
| LAS | Social Sciences | A scoping review of studies on the public and health professionals’ perspectives and engagement with Artificial Intelligence (AI) services in healthcare | Dr Tom Nadarzynski | T.Nadarzynski@westminster.ac.uk | Westminster Diversity & Inclusion Fund, £4,345; 2020 | ||||||||
| LAS | Social Sciences | PAT - a chatbot for information about sexual health; | Dr Tom Nadarzynski | T.Nadarzynski@westminster.ac.uk | Public Health England; £46,190; 2019 | ||||||||
| LAS | Social Sciences | The development of a Sexual HealthBot as an online triage system for digital sexual health services in Hampshire, UK. | Dr Tom Nadarzynski | T.Nadarzynski@westminster.ac.uk | Solent NHS Trust Research and Improvement Dragon’s Den Fund, £10,000; 2017 | ||||||||
| WBS | Applied Management | AI in SME internationalisation | Sergio De Cesare | s.decesare@westminster.ac.uk | |||||||||
| WBS | Applied Management | Emotional change of developers in adopting AI-powered technologies | Sergio De Cesare | s.decesare@westminster.ac.uk | |||||||||
| WBS | Applied Management | Emotional change of developers in adopting AI-powered technologies | Farjam Eshraghian | F.Eshraghian@westminster.ac.uk |