1st | 2nd
University of Naples Federico II
Artificial intelligence deals with the ability of machines to simulate human mental competences.
AI can effectively boost the manufacturing sector, changing the strategies used to implement and tune productive processes by exploiting information acquired at real-time.
Industry 4.0 integrates critical technologies of control and computing.
In this talk, we discuss the integration of Knowledge Representation, Ontology modelling with Deep Learning
technology, with the aim of optimizing orchestration and dynamic management of resources.
We review Artificial Intelligence techniques used in Industry 4.0, and we show an adaptable and extensible
contextual model for creating context-aware computing infrastructures in IoT. We also address deep learning
techniques for optimizing manufacturing resources, assets management and dynamic scheduling. The application
of this model ranges from small embedded devices to high-end service platforms. The presented deep learning
techniques are designed to solve numerous critical challenges in Industrial and IoT Intelligence, such as
application adaptation, interoperability, automatic code verification, and generation of a device-specific
Flora Amato is a researcher in the field of Information Management. Her research activities
involve both theoretical and experimental work in Artificial Intelligence, Knowledge Management and Information
Integration. She performs her research activity as Associate Professor Tenure Track at the Department of Electrical Engineering and Information Technology of University of Naples Federico II where she works since 2006. She is Professor of Artificial Intelligence for the Master degrees in Computer Science and Electronic Engineering, Automation and Telecommunications, at Engineering Courses of the University of Napoli Federico II. She served as Chair of many International Scientiﬁc Conferences and Workshops. She is Editor of many International Scientific Journals.
She is author of more than 150 research papers, published on International Journals and Conferences Proceedings;
having more than 1400 citations with H-index of 24 (on Scopus). She participated, as Principal Investigator,
WP or Task coordinator, in many National and International projects.
University of Toronto
The next generation of wireless systems will employ networking equipment mounted on mobile platforms, unmanned air vehicles (UAV), and low orbit satellites.
As a result, the topology of 6G wireless technology will extend to 3D vertical networking. With its extended service, 6G will also give rise to new challenges which include,
the introduction of intelligent reflective surfaces (IRS), the mmWave spectrum, the employment of massive MIMO systems, and the agility of networks.
Along with the advancement in networking technology, user devices are also evolving rapidly, with the emergence of highly capable cellphones, smart IoT equipment,
and wearable devices. One of the key elements of 6G technology is the need for accurate positioning information. The accuracy of today’s positioning systems is not acceptable
for many applications of future, especially in smart environments. In this talk, we will discuss how positioning can be a key enabler of 6G,
and what challenges the next generation of localization technology will face when integrated within the new wireless networks.
Shahrokh Valae is a Professor with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering,
University of Toronto, and the holder of Nortel Chair of Network Architecture and Services. He is the Founder and the Director of the Wireless and Internet Research Laboratory (WIRLab)
at the University of Toronto. Professor Valaee was the TPC Co-Chair and the Local Organization Chair of the IEEE Personal Mobile Indoor Radio Communication (PIMRC) Symposium 2011.
He was the TCP Chair of PIMRC2017, the Track Co-Chair of WCNC 2014, the TPC Co-Chair of ICT 2015. He has been the guest editor for various journals. He was a Track Co-chair for PIMRC 2020
and VTC Fall 2020. From December 2010 to December 2012, he was the Associate Editor of the IEEE Signal Processing Letters. From 2010 to 2015, he served as an Editor of IEEE Transactions
on Wireless Communications. Currently, he is an Editor of Journal of Computer and System Science. Professor Valaee is a Fellow of the Engineering Institute of Canada, and a Fellow of IEEE.