Workshop

Recently, the use of machine learning algorithms and simulation approaches has largely impacted the healthcare field. On the one hand, machine learning offers the opportunity to investigate biomedical systems characterized by complex behaviors; on the other hand, simulation has the ability to boost the decision-making process by testing alternative solutions for biomedical problems.

In this regard, it becomes of utmost importance to further optimize machine learning methods and simulation models, either combined or standalone, as well as develop new techniques which allow gaining novel insights from biomedical data, biosignals, bioimages, and healthcare management.

This special session welcomes contributions regarding the application of machine learning and/or simulation approaches to solve biomedical issues.

• Simulation in healthcare
• Discrete Event Systems for healthcare management
• Mathematical models in biomedical engineering
• Biological system modeling
• Modeling and simulation of physiological signals
• Reinforcement learning
• Machine learning for solving biomedical issues
• Biomedical and health informatics
• Neural Engineering

Alfonso Maria Ponsiglione graduated in Biomedical Engineering in 2013 at the University of Naples “Federico II”. Between 2014 and 2015 he worked as software programmer and healthcare ICT consultant. From 2016 he worked as doctoral student at the Center for Advanced Biomaterials for Healthcare of the Istituto Italiano di Tecnologia in Naples, where he conducted research in the field of biomaterials and nanomedicine, and he achieved the Ph.D. in “Industrial Product and Process Engineering” in 2019 at the University of Naples "Federico II". From 2019 to 2021 he was research fellow in biomedical engineering at the Department of Electrical Engineering and Information Technology and at the Department of Chemical Materials and Production Engineering of the University of Naples “Federico II”. He is currently a researcher in Biomedical Engineering at the Department of Electrical Engineering and Information Technology of the University of Naples "Federico II" and teacher of the "Healthcare System Management" course for the Master's Degree Program in Biomedical Engineering at the same university. He is also co-founder of Kyme NanoImaging Srl, a biotech startup developing products for Medical Imaging. His main competences and interests range from the processing and analysis of biomedical signals and data to the modelling and simulation of healthcare systems, to the design of biomaterials and nanotechnologies for medical applications, and to the business development of biomedical solutions.

Carlo Ricciardi graduated with honors from the master's degree in Biomedical Engineering at the University of Naples Federico II in October 2017.
From 2018 to 2020 he has been a PhD student in Biomorphological and Surgical Sciences at the Department of Advanced Biomedical Sciences.
He was research fellow from February 2021 to December 2021 at the Department of Chemical, Materials and Production Engineering.
He is an Assistant Professor (RTDA) at the Department of Electrical Engineering and Information Technology of the University of Naples Federico II starting from December 2021.

Main research topics:

• Artificial intelligence in the healthcare sector with particular attention to application studies of machine learning.
• Motion analysis and statistical analysis.
• Healthcare management.

Giuseppe Cesarelli is an affiliated researcher to the Department of Chemical, Materials and Production Engineering of the University of Naples Federico II and an external consultant of the Institute for Treatment and Research “Salvatore Maugeri”. Giuseppe Cesarelli has received his Master’s Degree cum laude in Materials Engineering in 2016 and his Doctor of Philosophy in Industrial Product and Process Engineering in 2020. Giuseppe Cesarelli has research interests in machine learning and artificial intelligence in biomedical sensing and imaging, and moreover wearable sensors, devices and electronics applied to the biomedical field. Other research themes are science and clinical application of biomaterials.

Leandro Donisi is an affiliated researcher to the Department of Chemical, Materials and Production Engineering of the University of Naples Federico II and an external consultant of the Institute of Care and Scientific Research Maugeri of Pavia (Italy). He received Bachelor’s degree in Biomedical Engineering in 2012 with a dissertation on Biomechanics: “Static Schemes of Musculoskeletal Structures” and Master’s Degree cum laude in Biomedical Engineering in 2018 with a dissertation on Medical Devices: “Comparative study of the performance of two accelerometric systems for gait analysis: Opal and G-Walk Systems”; both degrees achieved at University of Naples “Federico II”. His main scientific interests involve: Machine learning, Statistics, Biomedical signal processing, Electromiography, Biomechanics, Gait Analysis, Wearable Devices, Electronic textiles, Rehabilitation Engineering, Ergonomics, Clinical Engineering, Telemedicine. He is author and coauthor of several publication about these topics on international journals and he has several participations as speaker at international conferences.