Research output per year
Research output per year
Personal profile
Biography
After having obtained his PhD in Mathematics at the University of Exeter in 2007, specialising in theoretical dynamical systems with singularities, he accepted a position as algorithm tester and research specialist at a medium sized software development company. His main responsibility was to create, test and documents state-of-the-art statistical algorithms to analyse big datasets.
He then moved to the newly created Dublin IBM Research Lab to carry out research mainly in the field of knowledge discovery, text mining, and mathematical modelling, where he gained valuable business and research experience through collaboration with several scientists both at IBM, and at academic institutions. He was involved in a number of research projects in collaboration with other IBM Research Centres and academic institutions
He then joined Coventry University to take up a position as Teaching Fellow, and subsequently the University of Derby as a lecturer, during which he was involved various multi-disciplinary projects focussing on mathematical modelling, algorithm design, and big data analytics.
In 2016 Marcello joined the Computer Science Department at Edge Hill University as a senior lecturer and he was subsequently recently awarded a Professorship in Computer Science.
Research interests
Prof Marcello Trovati has been working in academia as well as R&D organisations, where he has gained valuable business and research experience through collaboration with several scientists at several research institutions. Marcello's interests include
- Data Science, Big Data
- Artificial Intelligence
- Text and Data Mining
- Text analytics
- Computational Statistics
- Mathematical Modelling
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Mathematics, MA, MA Single Honours, University of Aberdeen
Mathematics, PhD, Piecewise Isometries, University of Exeter
Research Institutes
- Health Research Institute
Research Centres
- Data and Complex Systems Research Centre
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Research output
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Adaptive MUlti-scale Superpixel Embedding Convolutional Neural Network (AMUSE-CNN) for Land Use Classification
ZHANG, HUAIZHONG., ALTHAM, CALLUM., TROVATI, MARCELLO., Zhang, C., Ajienka, N., Lawal, O. & NWEGBU, CHIDOZIE., 2022, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15, p. 7631-7642 12 p.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile1 Citation (Scopus)11 Downloads (Pure) -
Early Detection of Parkinson's Disease Dementia Using Dual-Sided Multi-Scale Convolutional Neural Networks (DSMS-CNN)
ALTHAM, CALLUM., ZHANG, HUAIZHONG., TROVATI, MARCELLO., PEREIRA, ELLA., Ray, N., Keller, S. & Macerollo, A., 11 May 2022, (Accepted/In press) Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022). SpringerResearch output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
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Social Media Data Misuse
Soussan, T. & Trovati, M., 2022, Advances in Intelligent Networking and Collaborative Systems - The 13th International Conference on Intelligent Networking and Collaborative Systems, INCoS-2021: INCoS2021. Barolli, L., Chen, H-C. & Enokido, T. (eds.). springer, p. 183-189 7 p. (Lecture Notes in Networks and Systems ; vol. 312).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open AccessFile1 Citation (Scopus)94 Downloads (Pure) -
Deep Learning Approaches in Pandemic and Disaster Management
Trovati, M., Asimakopoulou, E. & Bessis, N., 9 Apr 2021, Data Science Advancements in Pandemic and Outbreak Management. Asimakopoulou, E. & Bessis, N. (eds.). p. 108-124Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Deep Learning Based Effective Fine-grained Weather Forecasting Model
GALBOKKA HEWAGE, PRADEEP. RUWAN. PADMASIRI., TROVATI, MARCELLO., PEREIRA, ELLA. & BEHERA, ARDHENDU., Feb 2021, In: Pattern Analysis and Applications. 24, p. 343Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile69 Citations (Scopus)98 Downloads (Pure)
Projects
- 6 Finished
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Early Diagnosis on Parkinson’s Disease Dementia (PDD) with the Proposed Deep Learning Model
1/03/22 → 28/02/23
Project: Research
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Exploration and Enhancement of Land Management Strategies Using Hyperspectral Imagery and Big Data Analytics
12/10/20 → 31/10/21
Project: Research
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AI approaches for enhanced process performance and product quality
2/03/20 → 28/02/22
Project: Consultancy
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