INVITED SPEAKERS
18th September 2024 – 14:00
Prof. Donatella CORTI
University of Applied Sciences and Arts of Southern Switzerland
AI in manufacturing: challenges and opportunities
The transformative wave of Industry 4.0 has engendered significant shifts in the manufacturing landscape bringing unprecedented results in production performance. This revolution, based on the adoption of AI and advanced technologies, has far-reaching implications, not just for operational efficiencies, but also from the organizational and culture points of view. Tough benefits are clear, their achievement is not straightforward. The talk analyses main opportunities and challenges linked to the diffusion of AI in manufacturing, while main trends are highlighted. Applications examples are also provided.
Donatella Corti is currently Professor of Quality Management Systems at SUPSI and works in the Institute of Systems and Technologies for Sustainable Production of the Department of Innovative Technologies. She earned a PhD in Industrial Engineering at Politecnico di Milano in 2005 with a dissertation in the field of industrial service management. Her main research interests are in the fields of digital production with a special focus on quality 4.0, sustainable production and servitization of manufacturing. She’s involved in national and international funded projects on the topic of AI in manufacturing.
She is a member of the Swiss Association for Quality (SAQ) and of the International Advosory Board of the ASAP Service Management Forum. She is responsible for the Master of Science in Engineering programme in SUPSI. She is author of more than 80 peer reviewed publications.
18th September 2024 – 16:30
Dr Pasquale MEMMOLO
ISASI – National Research Council, Italy
Intelligent holotomographic microscopy for label-free single-cell classification
Currently, holographic microscopy (HM) is one of the most powerful label-free and quantitative phase imaging modality for single-cell analysis. The combination of HM with microfluidics unlocks the possibility to record images of flowing and rotating cells in microchannels, thus collecting digital holograms of the same cell taken from multiple orientations and allowing the 3D tomographic reconstruction. Such a wealth of information contained in holotomographic images of single cells can be exploited to address unprecedent challenges with the help of Artificial Intelligence, thus opening the way to advanced analysis of biological specimens. Here, the “Intelligent” holotomographic microscope in flow cytometry will be described with the main focus on applications of cancer cells analysis and classification, thus demonstrating a proof of concept about the label-free liquid biopsy.
Pasquale Memmolo received the Bachelor degree in Computer Engineering in 2005, the Master degree in Telecommunication Engineering in 2008 and the Ph.D. in Electronic and Telecommunication Engineering in 2012 at the Università degli Studi di Napoli “Federico II”. From 2011 to 2015, he worked as Post Doc at the Center for Advanced Biomaterials for Health Care@CRIB, Istituto Italiano di Tecnologia, Napoli, Italy. Then he joined the CNR – Istituto di Scienze Applicate e Sistemi Intelligenti “Eduardo Caianiello” (ISASI) as fixed-term Researcher. In 2016, he got the Permanent Researcher Position at the CNR. Since 2020, he is a Senior Researcher at CNR-ISASI and the team learder of the “Computational Microscopy” group.
His research interests cover the fields of Digital Holography, Fourier Ptychographic Microscopy, Holographic Tomography, Imaging flow cytometry, Lab on a Chip, Optical Engineering, Advanced Image Processing, Artificial Intelligence. In the recent years, his research activity focused on optical systems engineering and computational imaging for biomedical applications with the aid of artificial intelligence. He developed novel computational methods in holographic/tomographic imaging flow cytometry along with innovative opto-fluidic platforms for the label-free inspection at single-cell level. Currently, he is co-author of more than 100 scientific articles published on peer reviewed journals and more than 180 conference proceedings (>20 invited contributions).
19th September 2024 – 08:30
Prof. Silvia SIRI
University of Genova, Italy
Optimal Charging and Speed Control of Electric Automated Buses in Intercity Lines
Silvia Siri is associated professor at Università di Genoa Italy- Her research interests deal with modelling, optimization and control of complex dynamical systems, in the area of traffic, logistics and energy systems. Most of her research activity has involved modelling and control of road traffic systems, specifically referring to the development of multi-class traffic dynamic models, the definition of optimization-based control schemes, the real-time regulation of freeway traffic systems accounting for sustainable issues. In the area of intermodal freight logistics, her research studies have been focused on the definition of mathematical models and algorithms for the optimal planning of intermodal nodes and logistic networks. A more recent research activity has been related to the definition of optimization tools for the design of electric mobility systems and distributed energy systems.