Gianluca Zaza

Assistant Professor

(non-tenure track)

Ph.D. in Computer Science

University of Bari Aldo Moro

Computer Science Department

Via E. Orabona 4, 70125 Bari

4th floor, CILab Laboratory

email: gianluca.zaza@uniba.it

Publications

Journal Papers

G. Casalino, G. Castellano, G. Zaza (2022). Evaluating the robustness of a contact-less mHealth solution for personal and remote monitoring of blood oxygen saturation. Journal of Ambient Intelligence & Humanized Computing (JAIHC). DOI: https://doi.org/10.1007/s12652-021-03635-6, ISSN:18685137.

G. Casalino, G. Castellano, V. Pasquadibisceglie, G. Zaza, (2019). Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules. Information, 10(1), 9. DOI: https://doi.org/10.3390/info10010009, ISSN: 20782489.

G. Castellano, C. Castiello, V. Pasquadibisceglie, G. Zaza, (2017). FISDeT: Fuzzy Inference System Development Tool. International Journal of Computational Intelligence Systems, 10. DOI: https://doi.org/10.2991/ijcis.2017.10.1.2, ISSN: 1875-6883.

Conference Papers

G. Casalino, G. Castellano, A. Nisio, V. Pasquadibisceglie, G. Zaza (2022). A mobile app for contactless measurement of vital signs through remote Photoplethysmography. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2675-2680, DOI: https://doi.org/10.1109/SMC53654.2022.9945406.

G. Casalino, G. Castellano, G. Zaza (2022). Neuro-Fuzzy Systems for Learning Analytics (ISDA). DOI: https://doi.org/10.1007/978-3-030-96308-8_124, ISSN: 23673370.

G. Zaza (2021). On the Design of a Smart Mirror for Cardiovascular Risk Prediction. Proceedings of Second Doctoral Symposium on Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1374. Springer, 2021 Singapore. DOI: https://doi.org/10.1007/978-981-16-3346-1_65.

G. Casalino, G. Castellano, G. Zaza (2021). Using an adaptive neuro-fuzzy inference system for the classification of hypertension. The 13th International Workshop on Fuzzy Logic and Applications (WILF 2021), December 20th – 22th 2021, Vietri sul Mare, Salerno, Italy, ISSN: 16130073. DOI: http://ceur-ws.org/Vol-3074/paper14.pdf

G. Castellano, C. Castiello, A. Montemurro, G. Vessio, G. Zaza (2021). Segmentation of remotely sensed images with a neuro-fuzzy inference system. The 13th International Workshop on Fuzzy Logic and Applications (WILF 2021), December 20th – 22th 2021, Vietri sul Mare, Salerno, Italy, ISSN: 16130073. DOI: http://ceur-ws.org/Vol-3074/paper15.pdf

G. Casalino, G. Castellano, U. Kaymak, G. Zaza (2021). Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment. IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021). December 5th – 7th 2021, Orlando, Florida, USA, online ISBN: 978-172819048-8. DOI: https://doi.org/10.1109/SSCI50451.2021.9660104

G. Casalino, G. Castellano, G. Zaza (2021). On the use of FIS inside a Telehealth system for cardiovascular risk monitoring. 29th Mediterranean Conference on Control and Automation (MED): 173-178, ISSN: 2473-3504, ISBN: 978-1-6654-2258-1, online ISBN: 978-1-6654-4660-0. DOI: https://doi.org/10.1109/MED51440.2021.9480180.

G. Casalino, R. Grassi, M. Iannotta, V. Pasquadibisceglie and G. Zaza (2020). A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease. 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), Bari, Italy, 2020, pp. 1-7, DOI: https://doi.org/10.1109/EAIS48028.2020.9122750.

G. Casalino, G. Castellano, G. Zaza (2020). A mHealth solution for contact-less self-monitoring of blood oxygen saturation. 2020 IEEE Symposium on Computers and Communications: 1-7, ISSN: 2642-7389, ISBN:978-1-7281-8086-1, online ISBN: 978-1-7281-8087-8. DOI: https://doi.org/10.1109/ISCC50000.2020.9219718.

G. Casalino, G. Castellano, V. Pasquadibisceglie, G. Zaza (2019). Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process. MobiHealth. International Conference on Wireless Mobile Communication and Healthcare, 43-59. Springer International Publishing, DOI: https://doi.org/10.1007/978-3-030-49289-2_4.

G. Zaza (2019). Monitoring Cardiovascular Risk by Video Processing and Fuzzy Rules. Discussion and Doctoral Consortium papers of AI*IA 2019 - 18th International Conference of the Italian Association for Artificial Intelligence.

G. Casalino, G. Castellano, C. Castiello, V. Pasquadibisceglie, G. Zaza. (2019). A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment. In: Fullér R., Giove S., Masulli F. (eds) Fuzzy Logic and Applications. WILF 2018. Lecture Notes in Computer Science, vol 11291. Springer, Cham, DOI: 10.1007/978-3-030-12544-8_8.

V. Pasquadibisceglie, G. Zaza, G. Castellano. A personal healthcare system for contact-less estimation of cardiovascular parameters. Proc. of the AEIT International AnnualConference (AEIT2018), DOI: 10.23919/AEIT.2018.8577458.

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