Speakers - ITADATA23

Francesco Bonfiglio - CEO, Gaia-X

Topic: The Future of European Digital Ecosystems

Short Bio:

With more than 30 years' experience in the business of consulting and information technology, Francesco brings his knowledge of the cloud and data market needs, and his vision on how Gaia-X should revolutionize it. Independent Advisor since 2020, he has spent his previous professional life as an executive in many Italian and Multinational contexts. Formerly Chief Executive Officer for ENGINEERING D.HUB (Hybrid Cloud and Digital Transformation company within the largest Italian System Integrator Group), Vice President for Technology Services at AVANADE and Managing Director within the ACCENTURE Group, Chief Technology Officer for HEWLETT-PACKARD EMEA, SW Factory Director at UNISYS, Technical Director and Methodology Evangelist at RATIONAL SOFTWARE amongst his positions.

Abstract

Coming soon

Roberto Tagliaferri - Director, PhD School in Big Data Management and in Data Science, Accounting & Management
Full Professor, DISA MIS, University of Salerno IEEE and INNS Senior Member

Topic: Deep Learning models for biomedical image analysis in the era of big data

Short Bio:

Since November 1, 2006, Roberto Tagliaferri has been full Professor, at the University of Salerno. He is Director of the PhD School in Big Data Management and in Data Science, Accounting & Management, DISA MIS, University of Salerno. He had Master, Bachelor and PhD courses in Artificial Intelligence, Computational Intelligence and Neural Networks, Computer Architectures and Bioinformatics. He has been co-editor of several proceedings on international workshops on Neural Networks and Bioinformatics and special issues on international journals. He is Associate Editor of the IEEE Transactions on Cybernetics, of BMC in Bioinformatics and of the Journal of Translational Medicine. The scientific activity has been oriented to the design and analysis of models to describe complex systems using Neural Networks and Computational Intelligence methodologies, including Deep Learning, and to the design of architectures and of learning paradigms for Artificial Intelligence models. He is senior member of the IEEE "Computational Intelligence" and "System, Man and Cybernetics" societies and of INNS. He was Chair of the Italy Chapter of the IEEE CIS from 2013 to 2016.

Abstract

The realm of bio-medical imaging has evolved tremendously over the years, with deep learning (DL) playing a pivotal role in this transformation. The growth of increasingly advanced microscopy systems has led to the need for very efficient and fast analysis techniques, mainly based on deep learning. The capability to view the internal workings of the human body without invasive measures provides an unparalleled advantage in diagnostics and treatment planning. New technologies and methodologies, including the integration of deep learning algorithms, continually shape the landscape. This presentation provides an insight into some recent developments in the field developed by the NeuroneLab of the University of Salerno (IT).

Sokol Kosta - Associate Professor, Dept. of Electronic Systems, Aalborg University, Denmark

Topic: HPC in the era of Quantum Computing - The case of PQC

Short Bio:

Sokol Kosta holds a BSc, MSc, and PhD in Computer Science from Sapienza University of Rome, Italy. He was a postdoctoral researcher with Sapienza University and a visiting researcher with HKUST in 2015. In 2012, he was presented with the Best PhD Student Paper Award by the Computer Science Department of Sapienza University, while in 2013 he won the IEEE Infocom 2013 Best Demo Award and the IEEE SECON Best Demo Award. He is currently associate professor at the Department of Electronic Systems at Aalborg University Copenhagen. He has published in several top conferences and journals including IEEE Infocom, IEEE Communications Magazine, IEEE Transactions on Cloud Computing, and IEEE Transactions on Mobile Computing. His research interests include networking, distributed systems, and edge computing. He has worked on several national and European projects such as FP7 IoT-A, FP7 TROPIC, and H2020 RAPID, and is currently involved in four projects namely MSCA ITN IoTalentum, MSCA ITN QUARC, KDT-JU CLEVER, and Horizon EU I3LUNG.

Abstract

Quantum computing is widely regarded as a powerful tool of the future, which is expected to revolutionize the way we perform computations. A quantum computer is a machine that operates based on the principles of quantum mechanics, with the potential to execute tasks a million times faster than classical computers in many applications. Quantum Supremacy seeks to prove that problems considered computationally unsolvable by a classical computer can be tackled by a quantum one. Although the benefits can be seen in many sectors, such as machine learning, open problems in mathematics and physics, and quantum mechanics, among others, it also poses risks that it can be used for harmful reasons. Using Shor’s Algorithm and brute force attacks, many public-key cryptographic systems are expected to become penetrable. As such, research is focused on developing new algorithms capable of withstanding the threats of quantum computers-based attacks. Post-Quantum Cryptography (PQC) has emerged as a prominent research topic that is based on Public-Key Cryptography. The schemes of PQC are quantum resistant, meaning that they are not vulnerable to attacks from quantum computers. However, PQC algorithms are computationally intensive, requiring substantial computing resources. This demand leads to the expectation that PQC algorithms are expected to be executed mainly on High-Performance Computing systems, cloud servers, datacenters, or warehouse-scale computers. In this aspect, servers might become overloaded with work related to the PQC operations quite often. To address this challenge, current research envisions making PQC a viable option for warehouse-scale computers by utilizing state-of-the-art hardware like GPUs, FPGAs, and Data Processing Units (DPUs), among others, by offloading the computationally intensive tasks of PQC onto these specialized hardware accelerators.

Maria Fazio - Assistant Professor , Computer Science, University of Messina

Topic: The power of the Compute Continuum for time-critical and data-intensive application deployments

Short Bio:

Maria Fazio is Assistant Professor in Computer Science at the University of Messina (Italy). In her carrier, she was involved in several national and international research projects and scientific collaborations. She is a member of the Editorial Board of several international journals and has been Guest Editor of several Special Issues published in international journals. She was chair and organizer of international conferences and workshops. Since 2021, she has been responsible for the University of Messina of the CINI “HPC - Key Technologies and Tools” (HPC-KTT) National Laboratory. Her research interests are focused on Computing continuum, with particular reference to intelligent microservice orchestration, auto-configuring mesh networks at the Edge, security in IoT-Edge ecosystems. She is co-founder of Alma Digit, which is a SME and academic Spin-Off at University of Messina aimed at Implementing automation of processes in the Cloud.

Abstract

The Compute Continuum paradigm opens up new opportunities for the provisioning of pervasive computing, supporting the development of a new generation of time-critical and data-intensive applications and services. The high availability of heterogeneous infrastructures across geo-localized sites and remote data centers for HPC coupled with dynamic and intelligent resource management systems increases the flexibility in the execution of distributed applications, improving performance, availability, adaptability and energy management. However, realizing efficient strategies that are able to address application needs and their evolution remains a challenge. In this talk, I will explore how the Compute Continuum will change the development strategies of the next generation of services, analyzing the possible strategies for adapting technological systems to the specific needs of users and their impact on the environment and the daily lives of users.

Keynote Speakers

Francesco Bonfiglio

Ernesto Damiani

Roberto Tagliaferri

Antonio Maratea

Sokol Kosta

Maria Fazio