Faculty Members
Dr. MENGONI Paolo
Senior Lecturer
| PhD in Computer Science (University of Florence, Italy) MSc in Computer Science – two years programme with final research thesis (University of Perugia, Italy) BSc in Computer Science (University of Perugia, Italy) Certified Professional Engineer in Information Technology (Consiglio Nazionale degli Ingegneri, Italy) |
|
| (852) 3411-8283 | |
| pmengoni@hkbu.edu.hk | |
| CVA Room 934A |
Dr. Paolo Mengoni is Senior Lecturer in the Department of Interactive Media at Hong Kong Baptist University. He’s serving as Associate Programme Director for the MSc in AI and Digital Media at the School of Communication. He received his PhD degree in Computer Science from University of Florence, Italy. He’s a certified IT Engineer and IT Expert for Medical and Health Information Systems. Before joining the academia, he has been working as IT consultant for various projects.
Dr. Mengoni’s research focuses on Behaviour Analysis, Social Network Analysis with particular interest on Complex Network Analysis, Community Detection, Natural Language Processing, Evolutionary Computation, and Recommender Systems. His works has been published in top-tier journals such as Future Generation Computer Systems and Brain Informatics.
Research interests
Complex Network Analysis
Community Detection
Natural Language Processing
Evolutionary Computation
Recommender Systems
Publications
Mengoni, P., and Yang, J. “Empowering COVID-19 fact-checking with extended Knowledge Graphs”, in Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13377. Springer, Cham. https://doi.org/10.1007/978-3-031-10536-4_10
Santucci, V., Bartoccini, U., Mengoni, P., Zanda, F. “A Computational Measure for the Semantic Readability of Segmented Texts.”, in Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13377. Springer, Cham. https://doi.org/10.1007/978-3-031-10536-4_8
Wang, Z., and Mengoni, P. "Frequency Bands Selection for Seizure Classification and Forecasting Using NLP, Random Forest and SVM Models." In Brain Informatics [Scimago Q1 Computer Science Applications], vol. 9, 11, 2022, doi: 10.1186/s40708-022-00159-3.
Chan, K., Cheung, S. Y., Yue, K. K. M., Li, Y., Mengoni, P., Tam, K. M. "Feasibility of a mHealth intervention to increase physical activity and health literacy among Chinese new retirees" In Health and New Media Research, vol. 5, n. 2, pp. 278-305, Health & New Media Research Institute, 2021
Franzoni, V., Milani, A., Mengoni, P., Piccinato, F. “Artificial Intelligence Visual Metaphors in E-Learning Interfaces for Learning Analytics”, in Appl. Sci. [Impact Factor 2.474], 10, 7195, MDPI. 2020. DOI: 10.3390/app10207195
Mengoni, P., Milani, A., Poggioni, V. and Li, Y. “Community Elicitation from Co-occurrence of Activities”, in Future Generation Computer Systems [Impact Factor 5.768], vol. 110, pp. 904–917, Elsevier, 2020. DOI: 10.1016/j.future.2019.10.046
Mengoni, P., Milani, A., and Li, Y. “Community Graph Elicitation from Students Interactions in Virtual Learning Environments”, in Computational Science and Its Applications - ICCSA 2018, pp. 414-425, Springer, Cham, 2018.
J. J. Deng, C. H. C. Leung, Li, Y. and Mengoni, P., “Emotion Recognition from Human Behaviors using Attention Model”, in 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 249-253, IEEE, Laguna Hills, CA, 2018.
Mengoni, P., Milani, A. and Y. Li, “Multi-term, Semantic Context Elicitation from Collaborative Networks”, in 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 234-238, IEEE, Laguna Hills, CA, 2018.
Akarsh, S., Kishor, A., Niyogi, R., Milani, A., Mengoni, P. “Social Cooperation in Autonomous Agents to Avoid the Tragedy of the Commons”, International Journal of Agricultural and Environmental Information Systems [Impact Factor 1.000], Volume 8(2), pp 1-19, 2017
Awards/Grants/Honors
Awards:
Highly Commended Team Award at the Learning Technologist of the Year Award (in ALT's Online Winter Conference 2020) - Project Name: Global learning at Home
Year: 2020
Merit Award at The 6th e-Learning Excellence Awards (during the 19th European Conference on e-Learning ECEL) 2020 - Project Name: Global Students Virtual Hackathon: Nurture Creative Global Citizen with Social Responsibility
Year: 2020
Shortlisted for eLearning Innovators Award at QS Reimagine Education Awards 2020 - Project Name: Global Students Virtual Hackathon: Nurture Creative Global Citizen with Social Responsibility
Year: 2020
Grants:
Consulate of Italy in Hong Kong - Ministry for Foreign Affairs and International Cooperation for the integrated promotion “Talk series AI and Technology in Media and Arts”
Year: 2022
Total funding received: HK$ 15,000
Hong Kong University Grants Council (UGC) Special Grant for Strategic Development of Virtual Teaching and Learning “Videolization and visualization of teaching materials to enhance online teaching and learning of skill-based contents and facilitate staff development of Hong Kong Baptist University”
Year: 2021
Total funding received: HK$ 425,980
HKBU Library - Digital Scholarship Grant “Sci-fi blockbusters’ representation of female cyborgs and its impacts on audiences’ perception of human-machine communication”
Year: 2021
Total funding received: HK$ 88,200
HKBU School of Communication - AI-Info Communication Study (AIS) Scheme 2021/22 “Empowering COVID-19 automated fact checking with extended Knowledge Graphs”
Year: 2021
Total funding received: HK$ 50,000