Title of talk: Edge Intelligence: A Powerful Force Driving Sustainability

Bio

Prof. Albert Y. ZOMAYA is Peter Nicol Russell Chair Professor of Computer Science and Director of the Centre for Distributed and High-Performance Computing at the University of Sydney, Australia. To date, he has published > 700 scientific papers and articles and is (co-) author/editor of >30 books. A sought-after speaker, he has delivered >250 keynote addresses, invited seminars, and media briefings. He served in the past as Editor in Chief of the IEEE Transactions on Computers (2010-2014) and the IEEE Transactions on Sustainable Computing (2016-2020).

Professor Zomaya is a decorated scholar with numerous accolades including Fellowships of the IEEE, American Association for the Advancement of Science, and Institution of Engineering and Technology. Also, he is a Fellow of the Australian Academy of Science, Royal Society of New South Wales, Foreign Member of Academia Europaea, and Member of the European Academy of Sciences and Arts. Also, Professor Zomaya is a Clarivate 2022 Highly Cited Researcher. His research interests lie in distributed computing, networking, and complex systems.

Abstract: There is a broad agreement that the deployment of computing resources close to where data is created is more business-friendly, as it can address system latency, privacy, cost, and resiliency challenges that a pure cloud computing approach cannot address. This computing paradigm is now known as Edge Computing. Nevertheless, the full potential of this transformation for both of computing and data analytics is far from being realized. The industrial requirements are much more stringent than what a simple edge computing paradigm can deliver. This is particularly true when mission-critical industrial applications have strict requirements on real-time decision making, operational technology innovation, data privacy, and sustainable running environment. In this talk, I aim to provide a few answers by combining real-time computing strengths into modern data- and intelligence-rich computing ecosystems. I will also explore the topic of Edge AI, which is a process in which the Edge systems uses machine learning algorithms to process data generated by the user’s devices.

 

 

Bio

Alessandro Cremonesi is STMicroelectronics’ Executive Vice President, Chief

Innovation Officer and General Manager of STMicroelectronics’ System Research and Applications (SRA) Group. He has managed the SRA group since 2013 and added the Innovation Office to his mandate in early 2020. Cremonesi’s responsibilities span from global innovation coordination to corporate advanced R&D to system-solutions support for ST customers.

Cremonesi joined STMicroelectronics in 1984. He has served in managerial roles with both Strategic Marketing and R&D responsibilities across domains from telecommunications to audio/video digital-signal processing and multimedia applications. He has been a key contributor to ST’s extensive efforts and strategy in IoT and Artificial Intelligence and, more recently, has led the creation of strategic initiatives to increase ST’s innovation capability.

Cremonesi was part of an expert advisory group defining the agenda for Artificial Intelligence for the Italian Ministry of Economic Development. He has authored several technical papers and patents and is a member of the Scientific Advisory Board at IMEC.

Born in Sant’Angelo Lodigiano, Italy in 1958, Alessandro Cremonesi graduated with a master’s degree in Electronics Engineering from University of Pavia in 1984.

 

Title of talk: Brain-Computer Interfaces designed for neurorehabilitation

Bio

Prof. Natalie Mrachacz-Kersting member of IEEE, received her Ph.D. degree in biomedical engineering from Aalborg University, in 2005, and currently holds the Chair for Neuroscience and Neuroscience in Sport at the Albert-Ludwigs University of Freiburg. She is the Practitioner Representative for the IEEE Engineering Medicine and Biology Society, Chair of the IEEE WI(BM)E and on the Initiative Steering Committee of the IEEE Brain. Since 2019 she has been serving on the International BCI Society Board where she heads the fundraising committee. She has previously held positions at Aalborg University, Denmark, FH Dortmund and at the University of Auckland, New Zealand. Natalie does research in Medical Technology, Biomedical Engineering and Neuroscience. She has authored over 80 articles in peer-reviewed journals, over 130 conference articles/abstracts, ten book chapters and one book. She is working on several projects specifically within the area of Brain-Computer-Interfaces (BCIs) involving patient populations such as those suffering from stroke or ALS. Prof. Mrachacz-Kersting received several awards including the international BCI award in 2017.

Abstract:

Brain-Computer Interfaces (BCIs) have emerged as a promising tool for the restoration and replacement of lost motor function in patient populations. A variety of control signals have been extracted from the ongoing electroencephalographic (EEG signal) both in the frequency and time domain. In this talk I will present the approach we have taken from the basic idea and the underlying neurophysiology to the final BCI tested in clinical populations. I will demonstrate why knowledge of the mechanisms behind memory and learning is vital for the development of rehabilitation technology, specifically BCIs, and further how factors such as plasticity induction, fatigue or even tremor may greatly impact on the system accuracy.

Title of talk (tentative): AI-powered brain mapping: promises and challenges.

Bio:

Prof. Mohamed Seghier has more than 20 years of experience in functional neuroimaging, brain mapping, and cognitive neuroscience. He holds a PhD degree in neuroimaging and brain mapping with functional MRI from Joseph Fourier University (Grenoble-France). After a post-doc in clinical fMRI at Geneva University Hospitals (Switzerland), he held the position of Senior Research Fellow at the interdisciplinary Wellcome Centre for Human Neuroimaging, University College London (UCL) in the United Kingdom. He has introduced novel ways of investigating inter-subject variability in brain function. His research at UCL covered different areas in brain recovery after stroke (member of the PLORAS team), brain segmentation, brain lateralization, pattern recognition, brain connectivity and lesion-symptom mapping. At Khalifa University, he is currently faculty member of the Biomedical Engineering department and Director of the Healthcare Engineering Innovation Center. His current interest concerns the translation of neuroimaging and cognitive neuroscience findings to the clinical and educational settings. Since 2018, Prof. Seghier has been serving as Editor-in-Chief of the International Journal of Imaging Systems and Technology (Wiley). He was also Handling Editor at Neuroimage (Elsevier), and currently he is assuming a new editorial role at the recently launched journal Imaging Neuroscience (MIT).