Ondrej Kral IBM, Prague, Czech Republic
Release of OpenAI’s ChatGPT started new AI race among technology giants and massive adoption of the technology by companies to enhance their business and products. As result, more and more people are getting into a direct contact with AI which brings old and new challenges into the spotlight. How could quantum computers help?
Mr. Ondrej Kral is Advisory Data Scientist and IBM Quantum Ambassador in IBM Client Engineering division for Northern, Central and Eastern Europe.
Prof. Heidi Steendam Ghent University, Ghent, Belgium
Visible Light Positioning (VLP) is a cutting-edge technology that harnesses the power of visible light to enable precise indoor positioning and location-based services. Unlike traditional GPS, VLP leverages the ubiquity of LED lighting infrastructure to transmit data and location information, revolutionizing navigation, asset tracking and context-aware applications within indoor environments. This innovative approach holds the promise of enhancing user experiences, optimizing logistics, and unlocking new possibilities in various industries by providing highly accurate and real-time positioning capabilities. In this presentation, we delve into the basic principles of Visible Light Positioning.
Heidi Steendam received the M.Sc. degree in Electrical Engineering and the Ph.D. degree in Applied Sciences from Ghent University, Gent, Belgium in 1995 and 2000, respectively. Since September 1995, she has been with the Digital Communications (DIGCOM) Research Group, Department of Telecommunications and Information Processing (TELIN), Faculty of Engineering, Ghent University, Belgium, first in the framework of various research projects, and since October 2002 as a Professor in the area of Digital Communications. In 2015, she was a visiting professor at Monash University. Her main research interests are in statistical communication theory, carrier and symbol synchronization, bandwidth-efficient modulation and coding, cognitive radio and cooperative networks, radar sensing, positioning and visible light communication. She is the author of more than 180 scientific papers in international journals and conference proceedings, for which several best paper awards were received. Since 2002, she has been an executive Committee Member of the IEEE Communications and Vehicular Technology Society Joint Chapter, Benelux Section, from 2012 to 2017 the vice chair, and from 2017 to 2023 the chair. She was active in various international conferences as Technical Program Committee chair/member and Session chair. In 2004, 2011 and 2018, she was the conference chair of the IEEE Symposium on Communications and Vehicular Technology in the Benelux. From 2012 till 2017, she was associate editor of IEEE Transactions on Communications and EURASIP Journal on Wireless Communications and Networking.
Dr. Amir Ahmadian Tehrani Nokia Standards, Munich, Germany
5G-advanced has been identified as the first mobile networks technology enabling AI/ML features. Playing a revolutionary role in terms of applying AI/ML based solutions enabling 5G based technologies gaining at least the same performance as previous introduced releases featuring with overhead reduction, lower latency, there are challenges, essentials and preparations to eventually specify AI/ML features well in the standard. In this talk, AI/ML potentials in 5G-Advanced and beyond, current AI/ML based standardization efforts in 3GPP WGs and the way looking forward will be discussed.
Dr. Amir Ahmadian Tehrani is device research specialist Standard & Research at Nokia Standards, Strategy & Technology since April 2020. His current research activities mainly focus on AI/ML for NR Air Interface as well as physical layer aspects in coverage enhancements in 3GPP standardization framework. His active contribution to standards is currently focused on enabling advanced techniques with low overhead and high accuracy targeting sustainable AI/ML enabled communication technologies. Having more than 60 filed patent applications, his research interests include studying innovative methods to reduce overhead in 5G NR beam refinement procedure as well as compressing CSI feedback by means of employing neural networks for future communication technologies. He received the MSc degree on information technology engineering from Tampere University (TAU), and his PhD on communications engineering from Technical University Munich (TUM) accordingly.
Prof. Miroslav Voznak VSB-Technical University of Ostrava, Ostrava, Czech Republic
The keynote deals with big analytics of location and operational data of public wireless cellular networks. The spatial and temporal data in mobile networks provide important information about movements in territory. The overall view provides detailed information concerning granularity at the level of residential units and also the time span. Using the location and operational data of cellular networks enables an easy estimate of the number of people present without knowing any other factors. The application of processing is important especially in transport where we can apply knowedge about movements. Within this presentation, the speaker will show data from the Atlas of Population Mobility in Czechia which offers a different analysis of the data with more detailed granularity, showcasing the development of variables over time and exploring specific categories that provide additional understanding of the transport issues.
Prof. Miroslav Voznak (IEEE Senior Member) received his Ph.D. in telecommunications from the Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, in 2002, and achieved habilitation in 2009. He was appointed Full Professor in Electronics and Communications Technologies in 2017. His research interests generally focus on information and communication technologies, especially on the quality of service and experience, network security, wireless networks, and big data analytics. He has authored and co-authored over two hundred articles indexed in WoS/Scopus. According to the Stanford University ranking in 2020, 2021, and 2022, he is one of the World’s Top 2% of scientists in Information&Communication technology.