Matt Harper
School of Computer Science and Mathematics
Email address: M.L.Harper@2014.ljmu.ac.uk
Matt Harper is a researcher in Computer Science at Liverpool John Moores University, with research interests focused on the application of machine learning in a range of domains, including health, affect detection, and toxicology. Matt is currently working on a British Council-funded project to develop interactive educational materials to provide non-computer science graduates the knowledge and skills required to participate in the fourth industrial revolution (Industry 4.0). Furthermore, Matt has collaborated on a number of projects in the toxicology and pharmaceuticals domains, with experience of various spectroscopy techniques including Raman and Infrared Spectroscopy.
Degrees
2019, Liverpool John Moores University, United Kingdom, MSc Computing and Information Systems
2018, Liverpool John Moores University, United Kingdom, BSc Cyber Security
Chapters
Jain A, Harper M, Jayabalan M, Mustafina J, Khan W, Liatsis P, Ismail NL, Al-Jumeily OBE D. 2023. Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques Lecture Notes on Data Engineering and Communications Technologies 165 :117-128 DOI Publisher Url
Verma A, Harper M, Assi S, Al-Hamid A, Yousif MG, Mustafina J, Ismail NA, Al-Jumeily OBE D. 2023. Suicide Ideation Detection: A Comparative Study of Sequential and Transformer Hybrid Algorithms Lecture Notes on Data Engineering and Communications Technologies 165 :373-387 DOI Publisher Url
Lolla R, Harper M, Lunn J, Mustafina J, Assi J, Loy CK, Al-Jumeily OBE D. 2023. Machine Learning Techniques for Predicting Risks of Late Delivery Lecture Notes on Data Engineering and Communications Technologies 165 :343-356 DOI Publisher Url
Al-Jumeily OBE D, Harper M, Ghali F, Hussain A. 2021. Challenges in Data Capturing and Collection for Physiological Detection of Dementia-Related Difficulties and Proposed Solutions ICIC 2021: Intelligent Computing Theories and Application 978-3-030-84532-2 DOI
Harper M, Ghali F, Hussain A, Al-Jumeily OBE D. 2021. Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19 ICIC 2021: Intelligent Computing Theories and Application DOI
Conference publication
Harper M, Ghali F, Khan W. 2022. Comparison of Subjective and Physiological Stress Levels in Home and Office Work Environments Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13395 LNAI :183-197 DOI Publisher Url
Harper M, Ghali F, Hussain A, Al-Jumeily D. 2021. Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19 Lecture Notes in Computer Science, International Conference on Intelligent Computing 12838 :132-147 DOI Publisher Url Public Url
Harper M, Ghali F, Hussain A, Al-Jumeily D. 2021. Challenges in Data Capturing and Collection for Physiological Detection of Dementia-Related Difficulties and Proposed Solutions Lecture Notes in Computer Science, International Conference on Intelligent Computing 12838. :162-173 DOI Publisher Url Public Url
Harper M, Ghali F. 2021. Roles of caregivers in physiological data collection experiments with people with dementia and mitigating the impacts of COVID-19 Proceedings - International Conference on Developments in eSystems Engineering, DeSE, 2021-December :149-155 DOI Publisher Url
Harper M, Ghali F. 2020. A Systematic review of wearable devices for tracking physiological indicators of Dementia related difficulties 2020 13TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2020), 13th International Conference on Developments in eSystems Engineering (DeSE) :406-411 DOI Author Url Publisher Url
Harper M, Mustafina J, Aljaaf AJ, Lunn J, Yasen S, Ghali F. 2019. Data science techniques to support prediction, diagnosis and ReCODE treatment of Alzheimer's Disease AlJumeily D, Hind J, Mustafina J, AlHajj A, Hussain A, Magid E, Tawfik H. 12TH INTERNATIONAL CONFERENCE ON THE DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2019), 12th International Conference on the Developments in eSystems Engineering (DeSE) :332-339 DOI Author Url Publisher Url
Conference presentation:
Quora insincere questions classification using attention-based models, Data Science and Emerging Technologies 2022 (DaSET 2022), Virtual, Oral presentation. 2022
Loan default forecasting using StackNet, Data Science and Emerging Technologies 2022 (DaSET 2022), Virtual, Oral presentation. 2022
Research Grants Awarded:
Faculty of Engineering and Technology, Liverpool John Moores University, An Intelligent Digital Memory to Assist Human Memory for People with Dementia: An AI Approach, Fawaz Ghali, LJMU. Dhiya Al-Jumeily, LJMU. Abir Hussain, LJMU., Grant value (£): 5000, Duration of research project: 3 years. 2021