Prof. Ngoc-Thanh Nguyen
Wroclaw University of Science and Technology

Collective Intelligence and Applications in Sentiment Analysis

Abstract

In this talk I will present a general framework for building intelligent collectives. A concrete task of prediction market will be described as an example. It will be shown that two aspects (diversity and independency ) play an important role in making proper decisions. I will show that the positive impact of diversity and independence on collective performance. With some restrictions, the hypothesis "The more diverse the collective, the higher the collective performance" is formally proved. The second part of this presentation will concern the application of collective intelligent methods for sentiment analysis. It will be shown that the set of user opinions (sentiments) can be treated as a collective and choosing a proper integration mechanism is important for achieving high quality of the analysis.

Biography of Prof. Ngoc-Thanh Nguyen

Prof. Ngoc-Thanh Nguyen is currently a full Professor of Wroclaw University of Science and Technology in Poland and the Head of Department of Applied Informatics. He is now a member of the State Council of Scientific Excellence of Poland and a member of the Committee on Informatics of the Polish Academy of Sciences. He was an invited and visiting professor in many universities, such as Friedrich-Alexander University (Germany), Vrije Universiteit in Amsterdam (Netherlands), Japan Advanced Institute of Science and Technology (Japan), Yeungnam University (Korea), University of Technology Sydney (Australia), National Kaohsiung University (Taiwan) and Universidad Autónoma de Madrid (Spain). He is the Chair of IEEE SMC Technical Committee on Computational Collective Intelligence, he received the title of Distinguished Scientist and Distinguished Speaker of ACM, and Distinguished Visitor of IEEE. He is the Editor-in-Chief of Transactions on Computational Collective Intelligence (Springer), Vietnam Journal of Computer Science (World Scientific) and Journal of Information and Telecommunication (Taylor&Francis). Prof. Ngoc Thanh Nguyen is an author of 2 European patents in information systems. He has headed a number of research projects funded by EU programs like COST, DAAD, Polonor and National Foundation of Research and Development. He serves as an expert of National Center of Research and Development and of European Commission in evaluating research projects in such programs as MSCA-IF, REA-FET, EUREKA and COST. He has given 24 plenary and keynote speeches for international conferences, and more than 45 invited lectures in many countries. He has published 46 books and more than 450 journal and conference papers. Prof. Nguyen is on the TOP 2% list of scientists whose publications are most cited by other authors, compiled by Stanford University and Elsevier. He is a recipient of the Gold Cross of Merit awarded by the President of Poland in 2022.

Dr. Emanuel M. Popovici
Electrical and Electronic Engineering, University College Cork

Artificial Intelligence(AI) and Internet of Things(IoT) Technologies in Healthcare Applications: Heart and Brain Case Studies

Abstract

Disadvantaged communities across the world are disproportionately affected by a lack of access to healthcare with high societal and individual costs. Conditions such as congenital heart disease and brain seizures can have devastating effects if not detected in time. The main issue is that there is often a lack of trained personnel and/or expensive equipment to detect these conditions. Advances in the Internet of Things and AI technologies can provide reliable, low-cost solutions to detect these conditions without disrupting existing hospital protocols and operating within a secure framework. In our approach, solutions that involve the communion between the medical professional and AI are of special interest. These solutions must be explainable to gain wider acceptance in a medical setting. The presentation will discuss some implementations using EDGE and IoT platforms for an AI-driven auscultation for congenital heart disease and AI-driven sonification of brainwaves. Some aspects of IoT/EDGE security will also be briefly discussed.
Special thanks to my colleagues: Prof. Andriy Temko; Dr. Andreea Factor; Prof Viktoria Shelevytska, Prof. Volodymyr Sarana, , Dr. Sergi Gomez Quintana, Feargal O’Sullivan, Lavanya Pampana, Dominic Lightbody, Duc-Minh Ngo, Tien Van Nguyen, Giuseppe Carracciolo, Leah Twomey, Adam Creed, as well as our funders and supporters.

Biography of Dr. Emanuel M. Popovici

Emanuel Popovici is a Senior Lecturer with the Department of Electrical and Electronic Engineering, University College Cork. He is currently the Director of the multi-award-winning Embedded.Systems@UCC group. His research interests include embedded system design for reliable and secure computing and communications, hardware accelerators for AI/ML and security with particular emphasis on the IoT and the EDGE. His research group achieved over 50 awards and distinctions, including three-time winners in the prestigious Global IEEE/IBM Smarter Planet Challenge, Best Engineering Lab in Ireland, Best Collaboration Achievements, Best Paper awards(IEEE/IET), Reed and Mallik Medal, student competitions, and entrepreneurial awards. His research is inspired by George Boole (the first Professor of Mathematics at UCC) and Claude Shannon (a renowned Professor at MIT). Embedded.Systems@UCC group is proudly associated with the SFI Insight Centre for Data Analytics and the SFI Marei Centre for Energy, Climate and Marine Research.

Prof. Koichiro Ishibashi (IEEE Fellow)
The University of Electro-Communications, Tokyo, Japan

Energy Harvesting Technologies and Low Power Sensors for Trillion Sensor Universe

Abstract

We are expecting the era of Trillion Sensor Universe(TSU), when trillion of sensors are distributed to environment. Since most of the distributed sensors needs to operate for long time without maintenance, the sensors should not utilize power of batteries. The combination of energy harvesting power supplies and low power sensor nodes is the key technology to realize the TSU. In this keynote talk, I would like to introduce challenges of energy harvesting technologies, especially focusing on RF energy harvesting and Wireless Power Transfer (WPT) technics for power supply of sensors for IoT. Then I will show characteristics of energy harvesting BEAT Sensors which operate for 24 hours a day without batteries, and achieve the communication range of more than 5 km. Energy saving lighting system using energy harvesting illumination Beat Sensors and the system operation will also be introduced.

Biography of Prof. Koichiro Ishibashi (IEEE Fellow)

Dr. Koichiro Ishibashi has been a professor of The University of Electro-Communications (UEC), Tokyo, Japan since 2011. He has been the Director of UEC ASEAN Research and Education Center (UAREC) since 2017. He has been serving a guest professor at Ho Chi Minh City University of Technology and Ho Chi Minh City University of Science since 2012.
After receiving PH. D degree from Tokyo Institute of Technology in 1985, he worked at Central Research Laboratory, Hitachi Ltd., at Semiconductor Technology Academic Research Center (STARC) and at Renesas Electronics, where he had investigated low power technologies for high density SRAMs and MCUs. Since 2005, he has been a Fellow of IEEE for the technical contributions to developments of low-power SRAMs and MCUs.
He has presented more than 200 academic papers at international conferences and journals including more than 20 invited presentations. He was awarded R&D 100 for the development of SH4 Series Microprocessor in 1999.
His current interests are IoT technologies including Ultra low power LSI design technology, Technologies for energy harvesting sensor networks and applications, and Biomedical electronics using contactless sensors and data processing by AI.