SPC Special Sessions
Invited Talk 1
Over-the-Air Channel Calibration Towards 6G systems
Dr. Chunguo Li
Professor, National Mobile Communications Research Laboratory, Southeast University
Abstract
Ideally, the bi-directional channel in time division duplex (TDD) massive multiple-input multiple-output (MIMO) systems exhibits reciprocity. However, the involvement of low-cost and non-ideal radio frequency (RF) chains disrupts this reciprocity. Consequently, prior to fully leveraging the advantage of channel reciprocity, it is essential to implement channel calibration. Focusing on cell-free MIMO systems, we proposed an optimal spanning tree method utilizing the large-scale fading information among all distributed access points (APs). Combining with the tool of artificial intelligence (AI), we introduced a data-driven approach to enhance the calibration performance by exploiting characteristics of mmWave channel. Numerical results demonstrate significant improvements in calibration performance achieved by our proposed methods compared to existing calibration methods.
Biography
Chunguo Li received the bachelor's degree in wireless communications from Shandong University in 2005, and the Ph.D. degree in wireless communications from Southeast University in 2010. In July 2010, he joined the Faculty of Southeast University, Nanjing China, where he was Assocaite Professor between 2012 and 2016, and Full Professor since 2017 to present. From June 2012 to June 2013, he was the Postdoctor with Concordia University, Montreal, Canada. From July 2013 to August 2014, he was with the DSL laboratory of Stanford University as Visiting Associate Professor. From August 2017 to July 2019, he was the adjunct professor of Xizang Minzu University under the supporting Tibet program organized by China National Human Resources Ministry.
Chunguo is the Fellow of IET, the Fellow of China Institute of Communications (CIC), Chair of IEEE Computational Intelligence Society Nanjing Chapter, and Chair of Advisory Committee for Instruments industry in Jiangsu province. His research interests are in 6G cell-free distributed MIMO wireless communications, and AI based image signal processing.
Chunguo is the Fellow of IET, the Fellow of China Institute of Communications (CIC), Chair of IEEE Computational Intelligence Society Nanjing Chapter, and Chair of Advisory Committee for Instruments industry in Jiangsu province. His research interests are in 6G cell-free distributed MIMO wireless communications, and AI based image signal processing.
Invited Talk 2
Evolution of duplex operation for 5G-Advanced
Dr. Taehyoung Kim
Assistant Professor, Kookmin University
Abstract
In commercial 5G New Radio (NR) deployment, time-division duplex (TDD) is extensively utilized allocating time domain resources between downlink and uplink. The traditional TDD operation encounters several drawbacks, including reduced coverage, increased latency, and reduced capacity, due to a limited time duration for the uplink. To overcome such limitations of TDD, 3GPP recently has agreed to standardize a new duplex operation, called subband non-overlapping full duplex (SBFD), in release 19 for 5G-advanced. The SBFD operation allows simultaneous downlink and uplink transmissions using the same time domain resources. In this talk, we present a comprehensive overview of SBFD technology for 5G-Advanced and the latest trends in 3GPP standardization.
Biography
Taehyoung Kim received the B.S. and Ph.D. degrees in electrical and electronic engineering from Yonsei University, Seoul, South Korea, in 2010 and 2016, respectively. He is currently an Assistant Professor at the School of Electrical Engineering, Kookmin University, Seoul, Republic of Korea. From 2016 to 2021, he was a senior engineer with Samsung Electronics Co. Ltd., Seoul, Republic of Korea, and had been working on the standardization of 5G New Radio in 3GPP. Between Mar. 2021 and Aug. 2021, he was a senior researcher with Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea, and had been working on the development and implementation of moving network for V2X communication. Between Sep. 2021 and Feb. 2024, he was an Assistant Professor with the Department of Information and Communication Engineering, Soonchunhyang University, Asan, Republic of Korea. His research interests include developing core technologies fo 5G/6G communication systems, physical layer channel design, V2X, NTN, and 3GPP RAN1 standardization.
Invited Talk 3
Innovative Bandwidth Allocation in Passive Optical Networks to support Federated Learning
Prof. Alaelddin F. Y. Mohammed
Assistant Professor, Dongshin University
Abstract
This work explores the integration of Federated Learning (FL) into 6G-enabled Passive Optical Networks (PON) to enhance bandwidth management. A novel Dynamic Bandwidth Allocation (DBA) strategy is proposed, which efficiently handles FL traffic by aggregating model updates at the Optical Network Unit (ONU) and utilizing multi-grant mechanisms for upstream bandwidth allocation. Simulations show significant improvements in latency and network performance, making the approach suitable for real-time, data-intensive 6G applications. This research underscores the potential of combining FL and PON to address future communication network demands.
Biography
Dr. Alaelddin F. Y. Mohammed, currently an Assistant Professor at Dongshin University, holds a Ph.D. from KAIST, and an M.Sc. from the Royal Institute of Technology (KTH), Sweden.
He has a rich teaching portfolio, having taught at Chosun University, and the University of Gezira, known for delivering interactive and practical learning experiences. Widely published in renowned scientific journals, Dr. Alaelddin is committed to research and innovation, aiming to inspire students and address real-world challenges.
His interdisciplinary approach and leadership in technological projects highlight his dedication to continuous professional development. Before his current role, he was a Postdoctoral Fellow at KAIST and served as an Assistant Professor at Gachon University, Chosun University, and the University of Gezira.
Dr. Alaelddin's research interests include energy-saving in access networks, modeling and simulation of computer networks, internet protocols, 6G networks, and the application of machine learning in communication networks. His contributions position him as a forward-thinking educator and researcher in the evolving tech landscape.
He has a rich teaching portfolio, having taught at Chosun University, and the University of Gezira, known for delivering interactive and practical learning experiences. Widely published in renowned scientific journals, Dr. Alaelddin is committed to research and innovation, aiming to inspire students and address real-world challenges.
His interdisciplinary approach and leadership in technological projects highlight his dedication to continuous professional development. Before his current role, he was a Postdoctoral Fellow at KAIST and served as an Assistant Professor at Gachon University, Chosun University, and the University of Gezira.
Dr. Alaelddin's research interests include energy-saving in access networks, modeling and simulation of computer networks, internet protocols, 6G networks, and the application of machine learning in communication networks. His contributions position him as a forward-thinking educator and researcher in the evolving tech landscape.
Invited Talk 4
Cascade Windows-based Multi-stream Convolutional Neural Networks Framework for Early Detecting In-Sleep Stroke using Wristbands
Dr. Sang-Hoon Jeon
Assistant Professor, The University of Suwon
Abstract
A stroke, particularly when it occurs during sleep, is likely to have a negative prognosis due to delayed detection. Timely and early detection plays a vital role in ensuring prompt administration of reperfusion therapy and preventing permanent disabilities. To address this, we propose a wearable system comprising two wristbands that monitor asymmetric motion patterns (hemiparesis) during sleep. A novel deep learning framework called Early Detection of In-sleep Stroke (EDIS) serves as the core engine for stroke detection during sleep. The framework employs cascading windows of various sizes for convolutional neural networks (CNNs) to enhance both the detection performance and the detection time. We utilize 1D accelerometer sensor data from both hands to generate 2D matrix images, which serve as input for multiple CNN models. Predictions from these models are combined using blending ensemble learning to make a final decision. Although the EDIS framework requires a larger parameter size and longer inference time due to its network architecture with multiple CNNs, it outperforms five single-CNN models by improving detection performance and reducing detection time. We believe that our framework will be a fundamental component of real-time stroke monitoring systems, contributing to a reduction in mortality rates among patients suspected of having a stroke.
Biography
Sang-Hoon Jeon received his B.E. degree in Electronic Engineering from Kyungpook National University, Republic of Korea, in 2012. He obtained his M.E. and Ph.D. degrees from the Department of Information and Communication Engineering at DGIST, Republic of Korea, in 2014 and 2020, respectively. He served as a Senior Researcher at Hanyang University's Industry-University Cooperation Foundation from March to August 2020, became a Postdoctoral Researcher in the Department of Emergency Medicine from September 2020 to September 2022, and then was appointed as a Research Assistant Professor in the same department from October 2022 to September 2023. Since Oct 2023, he has been serving as an Assistant Professor in the Department of Information Security, College of Intelligent SW Convergence, at The University of Suwon, Hwaseong-si, Republic of Korea. His research primarily focuses on the development of healthcare applications using Wearable Computing and Cyber-Physical Systems.
Invited Talk 5
Thoughts And Practices On The Commercial Implementation Of Intelligent Driving
Mr. KaiLin Wan
Senior Director, Chang-an Auto, Ltd.
Abstract
The commercial implementation of intelligent driving not only brings new value to the automotive industry, but also brings new challenges. This transformation comes with opportunities, promoting the development of intelligent driving towards AI, end-to-end large models. Chang-an Auto is accelerating its transformation into a smart and low-carbon travel technology company, and has achieved a series of milestones, including leading the development of the Chinese national standard "Automobile Driving Automation Classification", mass production of NID3.0 high-speed navigation intelligent driving system and APA7.0 remote valet parking products, and launching the SDA new architecture, among others. Currently, intelligent driving is still a huge social ecological project, which needs the joint efforts of the entire industry to complete.
Biography
13 years of experience in research and development of intelligent driving technology. As the chief engineer of automatic parking development project, he led the APA7.0 remote valet parking products; he participated in a project of the Ministry of Science and Technology, participated in the preparation of 1 Chinese national standard and 3 industry standards, obtained 14 authorized invention patents, it has won one second prize of Science and Technology Award of China Automotive Engineering Society, one first prize and one third prize of Science and Technology Progress Award of Chongqing Municipality.
Invited Talk 6
Cloud Continuum Digital Twins for Industry 5.0 Apps: the Ultra-Low-Latency Challenge
Dr. Paolo Bellavista
Professor, University of Bologna
Abstract
Digital twins for Industry 4.0/5.0 applications are an emerging and promising direction of solution for improved efficiency, increased safety, and better sustainability in industrial manufacturing environments and, more generally, in any connected enterprise of the future. We claim that digital twins can deploy their full potential only when they can be dynamically deployed in the cloud continuum, e.g., by benefitting from the availability of virtualized resources over ETSI MEC nodes in 5G infrastructures or over smart industrial gateways, switches, and routers. The invited speech will present the key innovations of our novel middleware for ultra-low latency digital twins in the cloud continuum, which has already demonstrated to achieve and guarantee very low response times notwithstanding the virtualization of compute/network/storage resources along the possibly heterogeneous segments of the employed cloud continuum. The extremely high and guaranteed QoS levels that we are able to offer makes our middleware a central and key technology for digital twins in challenging industrial environments, thus also opening up to new relevant opportunities and application domains.
Biography
Paolo Bellavista (IEEE SM, ACM SM) is a Professor of distributed and mobile systems at the University of Bologna. His primary research interests and areas relate to middleware for mobile computing, Internet-of-Things platforms, efficient integrations of sensors-edge-cloud, edge/fog computing, mobile pervasive applications for Industry 4.0 and smart cities/communities. In addition to national/EU project participation (e.g., he was recently the scientific coordinator of the H2020 IoTwins project - https://www.iotwins.eu/) and publication activities (around 350 papers, of which more than 150 in international journals), among the notable services for his community, he was the IEEE ComSoc Internet TC Chair (2022-2023), is Associate EiC of IEEE COMST and EiC of the MDPI Computers J.; he is member of the Editorial Boards of ACM CSUR, IEEE T Computers, IEEE TNSM, IEEE TSC, Elsevier PMC J., Elsevier JNCA, and Springer JNSM.
Invited Talk 7
AI-Enabled Security and Safety of Critical Infrastructures for Beyond 5G
Prof. Burak Kantarci
Professor, University of Ottawa
Abstract
As we transition from 5G to the dawn of 6G, the landscape of critical infrastructure security and safety is poised for transformative changes. This talk explores the next frontier in AI-enabled protection for essential services, highlighting the opportunities and challenges ahead. We will examine how emerging AI technologies are being integrated to bolster the security of critical infrastructures, such as transportation networks and connected vehicles, against advanced cyber threats and operational failures. Key topics include advancements in AI-driven anomaly detection, jamming detection, and real-time threat response capabilities. Additionally, we will discuss the role of generative AI in enhancing security measures, enabling more intelligent and adaptive systems that can preemptively address vulnerabilities and mitigate risks. With 6G's ultra-low latency and massive connectivity, these infrastructures will benefit from improved resilience and efficiency, paving the way for smarter and more secure operations. The talk will conclude with an exploration of AI's role in protecting our most critical systems as we enter a transformative era in telecommunications.
Biography
Burak Kantarci is a Full Professor and the Founding Director of the Smart Connected Vehicles Innovation Centre (SCVIC) and Next Generation Communications and Computing Networks (NEXTCON) Research Lab at uOttawa. He holds a Ph.D. degree in computer engineering and is the author/co-author of over 300 publications in established journals and conferences, and 15 book chapters. Continuously listed among the top-cited scientists in telecommunications and networking based on the data reported by Stanford University since 2020, and since 2021, based on data collected from Microsoft Academic Graph, research.com has listed Dr. Kantarci among Canada’s top computer scientists. Dr. Kantarci holds an Exemplary Editor Award from IEEE Communications Surveys and Tutorials (2021), and multiple best paper awards from various conferences, most recently from IEEE Globecom2021, Wireless World Research Forum 2022, and IEEE ICC2023, IEEE VCC2023. He is a recipient of the Minister’s Award of Excellence from Ontario Ministry of Colleges and Universities (2021). He is the recipient of 2023 Technical Achievement Award of IEEE ComSoc Communications Software Technical Committee. He was a Distinguished Speaker of the Association of Computing Machinery (ACM) in 2019–2021. Currently he is a Distinguished Lecturer of the IEEE Communications Society and IEEE Systems Council. He has been a keynote/invited speaker or panelist in 40 events. In 2019–2020, Dr. Kantarci chaired the Communications Systems Integration and Modeling Technical Committee of the Institute of Electrical and Electronics Engineers (IEEE). He has been a general chair, program chair or track chair in 30+ international conferences. He is an Editor of the IEEE Communications Surveys and Tutorials, IEEE Internet of Things Journal, an Associate Editor for IEEE Networking Letters, and an Associate Editor for Elsevier Vehicular Communications.
Invited Talk 8
Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage Control
Dr. Jaeik Jeong
Senior Researcher, ETRI
Abstract
Energy storage devices can help mitigate climate change by ensuring a more stable and sustainable power supply. To maximize the effectiveness of such energy storage, determining the appropriate charging and discharging amounts for each time period is crucial. Reinforcement learning is preferred over traditional optimization for the control of energy storage due to its ability to adapt to dynamic and complex environments. However, the continuous nature of charging and discharging levels in energy storage poses limitations for discrete reinforcement learning, and time-varying feasible charge-discharge range based on state of charge (SoC) variability also limits the conventional continuous reinforcement learning. In this paper, we propose a continuous reinforcement learning approach that takes into account the time-varying feasible charge-discharge range. An additional objective function was introduced for learning the feasible action range for each time period, supplementing the objectives of training the actor for policy learning and the critic for value learning. This actively promotes the utilization of energy storage by preventing them from getting stuck in suboptimal states, such as continuous full charging or discharging. This is achieved through the enforcement of the charging and discharging levels into the feasible action range.
Biography
Jaeik Jeong received the B.S., M.S., and Ph.D. degrees in electronic engineering from Sogang University, Seoul, South Korea, in 2015, 2017, and 2022, respectively. He is currently a Senior Researcher with Energy ICT Research Section, Electronics and Telecommunications Research Institute, Daejeon, South Korea. His research interests include deep reinforcement learning, smart grid, and energy forecasting.
Invited Talk 9
Decentralized Federated Learning: Opportunities and Challenges
Dr. Rashid Ahmad
Assistant Professor, Sohar University
Abstract
Decentralized Federated Learning (DFL) represents a significant advancement in collaborative machine learning, enabling the training of models across distributed devices without the need for a central coordinator. This approach preserves data privacy and enhances security, making it especially relevant in an era where data breaches and privacy concerns are paramount. However, the transition from centralized to decentralized federated learning introduces unique challenges, including increased communication overhead, the need for robust consensus mechanisms, and the heterogeneity of participating devices and data. This talk will explore these challenges in depth, discussing technical, algorithmic, and operational obstacles that must be overcome. Additionally, we will highlight the immense opportunities DFL presents, such as improved scalability, enhanced democratization of AI, and its application in critical fields like healthcare, finance, and IoT. By examining current research and future directions, this presentation aims to provide a comprehensive overview of DFL, fostering a deeper understanding of its potential and inspiring further innovation in this emerging field. Attendees will gain insights into how DFL can transform collaborative AI efforts, drive more secure and efficient data utilization, and pave the way for a more inclusive and privacy-preserving AI landscape.
Biography
Rashid Ahmad earned his Bachelor of Science degree from the University of Malakand, Pakistan, in 2007 and his Master of Science degree in computer science from the National University of Computer and Emerging Sciences (FAST-NUCES), Islamabad, Pakistan, in 2009. He completed his Ph.D. in computer engineering at Jeju National University, South Korea, in 2016.
Dr. Rashid has worked as an Assistant Professor at COMSATS University Islamabad, Attock Campus, Pakistan, and as a Brain Pool Fellow at Jeju National University, where he was awarded the Creative Challenge Project by the National Research Foundation of Korea. Currently, he is an Assistant Professor at the Faculty of Computing & IT, Sohar University, Sultanate of Oman.
Dr. Rashid has published numerous high-quality research articles. His research focuses on the practical application of prediction and optimization algorithms to develop IoT-based solutions. Recently, he has been actively working in the domain of privacy- preserved AI, particularly Federated Learning. His contributions to this field aim to enhance data security and privacy while enabling collaborative machine learning across distributed networks.
Dr. Rashid has worked as an Assistant Professor at COMSATS University Islamabad, Attock Campus, Pakistan, and as a Brain Pool Fellow at Jeju National University, where he was awarded the Creative Challenge Project by the National Research Foundation of Korea. Currently, he is an Assistant Professor at the Faculty of Computing & IT, Sohar University, Sultanate of Oman.
Dr. Rashid has published numerous high-quality research articles. His research focuses on the practical application of prediction and optimization algorithms to develop IoT-based solutions. Recently, he has been actively working in the domain of privacy- preserved AI, particularly Federated Learning. His contributions to this field aim to enhance data security and privacy while enabling collaborative machine learning across distributed networks.
Invited Talk 10
Transforming Urban Mobility and Vehicle Security: Exploring ICT Advances in Smart City Networks
Dr. Jalel Ben Othman
Full Professor, Université Paris-Saclay
Abstract
With the exponential growth of the global population projected to reach 8.5 billion by 2030, and a significant portion expected to reside in urban centers, effective mobility management becomes paramount to address the ensuing traffic surge. Managing mobility is crucial to prevent congestion on roadways. Concurrently, advancements in technology, such as the Internet of Things (IoT), offer promising solutions to enhance mobility management in cities. Smart city initiatives leverage technologies like Information Communication Technologies (ICT) and IoT to efficiently utilize and oversee infrastructure, resources, transportation, traffic, and services, involving various stakeholders like humans, drones, vehicles, smart devices, and buildings. In this presentation, I will explore how ICT can be leveraged to manage vehicle mobility effectively, while also discussing the potential threats that ICT systems may encounter in this context.
Biography
Prof. Ben-Othman received his B.Sc. and M.Sc. degrees both in Computer Science from the University of Pierre et Marie Curie, (Paris 6) France in 1992, and 1994 respectively. He received his PhD degree from the University of Versailles, France, in 1998. He is currently full professor at the University of Paris 13 since 2011 and member of L2S lab at CentraleSupélec. Dr. Ben-Othman's research interests are in the area of wireless ad hoc and sensor networks, VANETs, IoT, performance evaluation and security in wireless networks in general. He was the recipient of the IEEE COMSOC Communication Software technical committee Recognition Award in 2016, the IEEE computer society Meritorious Service Award in 2016, and he is a Golden Core Member of IEEE Computer Society, AHSN Exceptional Service and Contribution Award in 2018 and the VEHCOM Fabio Neri award in 2018. He has served as steering committee member of IEEE Transaction on Mobile computing (IEEE TMC), he is currently a senior Editor of IEEE communication letters (IEEE COMML) an editorial board member of several journals (IEEE Networks, IEEE IoT journal, JCN, IJCS, SPY, Sensors, …). He has also served as TPC Co-Chair for IEEE Globecom and ICC conferences and other conferences as (WCNC, IWCMC, VTC, ComComAp, ICNC, WCSP, Q2SWinet, P2MNET, WLN,....). He was the chair of the IEEE Ad Hoc and sensor networks technical committee January 2016-2018, he was previously the vice chair and secretary for this committee. He has been appointed as IEEE COMSOC distinguished lecturer from 2015 to 2018 and he is currently IEEE VTS distinguished lecturer where he did several tours all around the world.
Invited Talk 11
AI-Driven Optimization of Sensor Networks for Carbon-Neutral Infrastructure: From Apartments to Factories and Seaports
Prof. Sangkeum Lee
Assistant Professor, Hanbat National University
Abstract
This research focuses on optimizing sensor networks using deep learning to achieve carbon neutrality. The work is divided into three primary areas: energy management in residential buildings, industrial settings like factories and seaports, and communication systems for IoT applications. In residential buildings, AI is used to optimize energy consumption patterns, integrate renewable energy sources, and manage electric vehicle charging. In industrial settings, the research emphasizes optimizing microgrid operations and incorporating renewable energy into desalination processes. Additionally, the application of AI in optimizing communication systems is crucial for managing extensive IoT networks in smart cities and industrial environments. Each area leverages AI and deep learning to enhance efficiency and reduce carbon emissions, contributing significantly to global carbon-neutral goals by integrating advanced AI techniques with practical energy management solutions.
Biography
Assistant Professor (Sep. 2023 ~ Present), Hanbat National University, Department of Computer Engineering
Senior Researcher (Mar. 2021 ~ Aug. 2023), Electronics and Telecommunications Research Institute (ETRI), Energy & Environment ICT Research Department
Post-Doc (Sep. 2020 ~ Feb. 2021), KAIST, Mechanical Engineering Research Institute
Ph.D.(Mar. 2018 ~ Aug. 2020), KAIST, CCS Graduate School of Green Transportation (current: CCS Graduate School of Mobility)
M.S.(Sep. 2016 ~ Feb. 2018), KAIST, CCS Graduate School of Green Transportation (current: CCS Graduate School of Mobility)
B.S.(Mar. 2009 ~ Aug. 2016), Korea University, Department of Electronics and Information Engineering
Senior Researcher (Mar. 2021 ~ Aug. 2023), Electronics and Telecommunications Research Institute (ETRI), Energy & Environment ICT Research Department
Post-Doc (Sep. 2020 ~ Feb. 2021), KAIST, Mechanical Engineering Research Institute
Ph.D.(Mar. 2018 ~ Aug. 2020), KAIST, CCS Graduate School of Green Transportation (current: CCS Graduate School of Mobility)
M.S.(Sep. 2016 ~ Feb. 2018), KAIST, CCS Graduate School of Green Transportation (current: CCS Graduate School of Mobility)
B.S.(Mar. 2009 ~ Aug. 2016), Korea University, Department of Electronics and Information Engineering
Invited Talk 12
The Introduction of Research Activities on implementing secure communication based on QKD
Dr. Wonhyuk Lee
Director, KISTI
Abstract
With the emergence of quantum computers and the shor algorithm, threats have been raised to encryption and decryption systems that take advantage of the difficulty of existing prime factorization, and even with the advent of high-end quantum computers, measures to implement a secure encryption system and environment are being proposed. In this presentation, we would like to introduce research on element technologies related to the research direction for implementing a safe and secure communication environment using quantum cryptography technology.
Biography
2020 ~ Present Join the research project of implementing a Quantum Secured Network
2003~2019 Join the research project such as National science and technology research network, domestic backbone design research and service utilization research
2003 Join KISTI
2003~2019 Join the research project such as National science and technology research network, domestic backbone design research and service utilization research
2003 Join KISTI
Invited Talk 13
Research Opportunities for the future smart society
Prof. Rui Luis Aguiar
Head of Networks and Services,
Instituto de Telecomunicações / Universidade de Aveiro
Instituto de Telecomunicações / Universidade de Aveiro
Abstract
The talk will present some European views on the research opportunities needed to realize the future smart society. The presentation will confront the industry reception to the introduction of 5G, to identify promising innovation directions leading to a smarter digital society. It will further discuss some societal requirements in Europe, and finally reflect on some research topics identified for the future.
Biography
Rui L. Aguiar received his Ph.D. degree in electrical engineering in 2001 from the University of Aveiro, where he is currently a Full Professor. He was the founder of the ATNOG research group, an advanced telecommunication research group at the Universidade de Aveiro and is currently co-coordinating a research line in Instituto de Telecomunicações, on the area of Networks and Services. He has been serving as Steering Board Chair of Networld Europe, the European ETP representing the telecommunications community, engaged in the discussions of the future European R&D workprogrames for telecommunications. He has been previously been associated with Carnegie Mellon University and the Universidade de Uberlandia, has been an advisory for the portuguese Secretaria de Estado das Comunicações and member of the task force for 5G cybersecurity. He is a Chartered Engineer, a Senior Member of IEEE, and a member of ACM. As further community engagement, he has served as Technical and General (co)Chair of several conferences, most recently as General Chair of IEEE WFIoT. He is a regular keynote speaker in the future of mobile communications and digital society. He is an associated editor of Wiley’s Emerging Telecommunication Technologies and Springers’ Wireless Networks. He has more than 500 papers published.
Invited Talk 14
Why is Europe investing in a sovereign edge cloud?
Mr. Jordi Guijarro
Principal Cloud-Edge Ecosystem Manager, OpenNebula Systems
Abstract
In December 2023, the European Union approved a €1.2 billion investment for the development of the first interoperable and openly accessible European cloud-edge computing continuum, known as IPCEI-CIS. This initiative aims to reduce strategic dependencies on Big Tech vendors and hyperscaler cloud providers, while fostering the sustainable development of open source technologies "made in Europe". With more than 100 companies from 12 different EU member states actively involved in this collective effort, that decision signaled the official launch of one of the largest digital sovereignty initiatives ever undertaken in the world, becoming the largest open source project in the history of Europe. The IPCEI-CIS is expected to fulfill crucial requirements for cloud interoperability, data privacy, energy efficiency, and cybersecurity, allowing for new real-time and low-latency services that require distributed computing resources at the edge, closer to end-users and IoT devices. In this presentation, we will discuss the many opportunities that this multi-billion project brings to public administrations and businesses, and how non-EU entities can contribute to building together a global cloud-edge infrastructure based on the offerings of local "proximity cloud" providers.
Biography
Jordi Guijarro Olivares, Principal Technologist for Cloud-Edge Innovation at OpenNebula Systems. With more than 20 years in the ICT sector, he is an expert in cloud oriented and cybersecurity architectures and services innovation. He also combines his work at OpenNebula with participation and leading European and national projects, and collaborates in high education programs with some universities. He obtained his bachelor in Computing Engineering at the Open University of Catalonia (UOC) and a Master in ICT Management at Universitat Ramon Llull (URL). Specialities: Cloud Computing and Cybersecurity. https://www.linkedin.com/in/jordiguijarro/
Invited Talk 15
Migrating the Intelligence from the Cloud to Users
Dr. JeongGil Ko
Associate Professor, Yonsei University
Abstract
With the rapid advancements in mobile sensing and computing technology, there is a surge of innovative intelligent applications that monitor and manage our daily lives ubiquitously. Traditional mobile sensing/computing applications used to collect user information locally and transmit data to a more powerful server for intelligent data processing operations. However, more recent developments showcase a shift towards a more localized and personalized approach. This involves processing data collected locally on user devices, enhancing efficiency, and prioritizing privacy.
This presentation will delve into the applications driving this paradigm shift, bringing intelligence from the cloud to user devices. Additionally, we will explore novel machine learning frameworks supporting localized intelligence experiences. This includes introducing mechanisms to reduce model complexity, enabling memory-efficient on-device model training, and facilitating efficient federated learning.
This presentation will delve into the applications driving this paradigm shift, bringing intelligence from the cloud to user devices. Additionally, we will explore novel machine learning frameworks supporting localized intelligence experiences. This includes introducing mechanisms to reduce model complexity, enabling memory-efficient on-device model training, and facilitating efficient federated learning.
Biography
JeongGil Ko is an associate professor in the School of Integrated Technology, College of Computing and the Department of Biomedical Systems Informatics, College of Medicine at Yonsei University, Seoul, Korea. JeongGil received his B.Eng. in Computer Science and Engineering from Korea University (2007) and received his Ph.D. in Computer Science from the Johns Hopkins University (2012) and was with the Department of Computer Science, Stanford University as a visiting researcher in 2010. Prior to joining Yonsei, he was a senior researcher at the Electronics and Telecommunications Research Institute (ETRI) from 2012 to 2015 and was an assistant professor at the Department of Software and Computer Engineering at Ajou University (2015-2019). He is a recipient of the Abel Wolman Fellowship awarded by the Whiting School of Engineering at the Johns Hopkins University and a senior member of the ACM and IEEE. JeongGil has served on the program committee for many top conferences in the mobile and ubiquitous computing field (ACM MobiCom, MobiSys, SenSys, IEEE PerCom in particular), was the technical program chair for ACM UbiComp 2022 and the general chair for ACM MobiSys 2024. He also serves on the editorial board for renown academic journals including the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) , IEEE Transactions on Mobile Computing (TMC), and IEEE Transactions on Quantum Engineering (TQE). JeongGil's research interests are in the general area of developing mobile/embedded sensing systems and applications with ambient intelligence.
Invited Talk 16
Enabling common service functions for AI to standardized IoT platforms
Prof. Song JaeSeung
Professor, Sejong University
Abstract
Intelligent IoT services analyse IoT data using artificial intelligence (AI) and machine learning (ML) technologies, and perform various tasks such as performance optimisation, abnormal behaviour detection, and collision avoidance. AI/ML plays an increasingly significant role in IoT because of its ability to quickly extract desired meanings and patterns from a vast amount of data. IoT brings the power to AI/ML to provide more accurate predictions and analyses. In terms of AI/ML, securing high-quality training data is the key to success. AI/ML models trained with high-quality, and a large amount of data improve the robustness of the models, enabling them to make more precise judgments. Recently, oneM2M, the global standards initiative for IoT, has focused on developing standards for AI/ML support as part of the common functions of the IoT service layer. This presentation will explore current technological advancements to oneM2M for enabling AI/ML features.
Biography
Prof. JaeSeung Song is a full professor in the Department of Computer & Information Security Sejong University. He holds the position of Technical Plenary Vice Chair of the oneM2M global IoT standards initiative. He is also a visiting professor in the Department of Electrical and Computer Engineering, University of British Columbia (UBC) since 2019. Prior to his current position, he worked for NEC Europe Ltd. and LG Electronics in various positions. He received a Ph.D. at Imperial College London in the Department of Computing, United Kingdom. He holds B.S. and M.S. degrees in computer science from Sogang University. His research interests span the areas of beyond 5G and 6G, AI/ML enabled network systems, software engineering, networked systems and security, with focus on the design and engineering of reliable and intelligent IoT/M2M platforms.
Invited Talk 17
Impact of the evolution of standards on the citiverse
Mr. Antonio KUNG
Executive board, Trialog
Abstract
A perspective on the evolution of standards and the impact on the citiverse will be presented. A landscape analysis will be provided, showing the interplay between ICT standards (typically addressed by ISO/IEC JTC1) and domain standards (e.g., energy, health, transport), and the relationship with conformity assessment standards. Then the evolution of the ICT context will be presented, focusing of the need to cope with increasingly more complex ecosystems (or sociotechnical systems) which integrate multiple technologies (e.g., AI, digital twins, distributed ledger technologies, virtual worlds), while taking into account regulatory constraints. Important standardization undertakings will be described, (1) on the use of profiles and SMART standards to address the interplay of horizontal standards and domain standards, (2) on the use of reference architecture and associated patterns, and finally the presentation will show how these undertakings will drive the development of future standards for the citiverse.
Biography
Co-founder of Trialog, he was CTO until 2018, and CEO until 2024, Antonio is now member of the executive board, focusing on strategy, innovation and knowledge management. He has been active since 2015 on standardisation as well as on standardisation strategy. Antonio has initiated the development of more than twenty standards on architecture, interoperability, conformity in domains such as the internet of things, digital twins, security and privacy or artificial intelligence. Antonio graduated from Harvard university and École Centrale de Paris.
Invited Talk 18
Next Generation Sustainable Smart Cities
Dr. Monique Calisti
CEO, Martel Innovate
Abstract
While smart cities offer great potential for sustainable development, they also face several challenges at various levels – social, environmental, economic, technological. These challenges can only be addressed when adopting a multi-stakeholder and holistic approach, which is what several international initiatives are working on.
The EU set legally binding commitments to achieve net-zero greenhouse gas emissions by 2050, with targets set by the European Climate Law at the heart of the European Green Deal. One key objective is to make 100 EU cities climate-neutral and smart by 2030, serving as innovation hubs to help all European cities achieve climate neutrality by 2050.
Digital technologies, particularly AI, Data, and Robotics (ADR), hold great promise to enable such an ambitious and impactful transition to sustainable cities, but also represent a double-edged sword when sustainability and carbon-neutrality enter the picture. Decarbonising ADR technologies needs more work on, among others, energy-efficient algorithms; data collection and management; greener networks, data centres, edge nodes and devices.
Focussing on Urban Mobility, we report on our work to investigate AI-enabled Mobility-as-a-Service (MaaS) approaches to steer active demand management for forecast and reduction of traffic GHG emissions.
Leveraging AI techniques such as causal inference, deploying policy-driven MaaS suggests benefits at multiple levels, from better emission management to more dynamic mobility governance, up to wider engagement of citizens and businesses.
The insights from this experience will flow into the evolution of Orchestra Cities, Martel’s open-source, FIWARE-based smart platform.
The EU set legally binding commitments to achieve net-zero greenhouse gas emissions by 2050, with targets set by the European Climate Law at the heart of the European Green Deal. One key objective is to make 100 EU cities climate-neutral and smart by 2030, serving as innovation hubs to help all European cities achieve climate neutrality by 2050.
Digital technologies, particularly AI, Data, and Robotics (ADR), hold great promise to enable such an ambitious and impactful transition to sustainable cities, but also represent a double-edged sword when sustainability and carbon-neutrality enter the picture. Decarbonising ADR technologies needs more work on, among others, energy-efficient algorithms; data collection and management; greener networks, data centres, edge nodes and devices.
Focussing on Urban Mobility, we report on our work to investigate AI-enabled Mobility-as-a-Service (MaaS) approaches to steer active demand management for forecast and reduction of traffic GHG emissions.
Leveraging AI techniques such as causal inference, deploying policy-driven MaaS suggests benefits at multiple levels, from better emission management to more dynamic mobility governance, up to wider engagement of citizens and businesses.
The insights from this experience will flow into the evolution of Orchestra Cities, Martel’s open-source, FIWARE-based smart platform.
Biography
Dr Calisti is the CEO of Martel Innovate, President and Founder of the non-for-profit Digital for Planet, Director of the Next Generation Internet (NGI) Office and Coordinator
of the 6G4Society and NGI Commons Horizon Europe projects.
Monique is a passionate entrepreneur and ICT expert with extensive experience in research and innovation funding, digital innovation strategies, digital communication, and business development of sustainable and innovative software solutions.
With a strong technical profile and expertise cutting across several domains (AI, 5G/6G, IoT, Cloud, etc.), Monique helps Martel's customers develop and implement agile and efficient innovation strategies and plans. She has been involved in several major European R&I initiatives, such as the 5G PPP, the 6G SNS JU, the 6G-IA, the Next Generation NGI initiative, the AI, Data and Robotics Association.
Dr Calisti is an expert evaluator for the European Commission and for the InnoSuisse Agency, focusing on sustainable, trustworthy, open and inclusive digital technologies.
Monique has been speaking and moderating many scientific, technological and policy events, authored and edited professional publications, and involved as Programme Committee member for many international conferences.
Monique holds a PhD in Artificial Intelligence from the Swiss Federal Institute of Technology in Lausanne and a PhD in Telecommunication Engineering from the University of Bologna.
Monique is a passionate entrepreneur and ICT expert with extensive experience in research and innovation funding, digital innovation strategies, digital communication, and business development of sustainable and innovative software solutions.
With a strong technical profile and expertise cutting across several domains (AI, 5G/6G, IoT, Cloud, etc.), Monique helps Martel's customers develop and implement agile and efficient innovation strategies and plans. She has been involved in several major European R&I initiatives, such as the 5G PPP, the 6G SNS JU, the 6G-IA, the Next Generation NGI initiative, the AI, Data and Robotics Association.
Dr Calisti is an expert evaluator for the European Commission and for the InnoSuisse Agency, focusing on sustainable, trustworthy, open and inclusive digital technologies.
Monique has been speaking and moderating many scientific, technological and policy events, authored and edited professional publications, and involved as Programme Committee member for many international conferences.
Monique holds a PhD in Artificial Intelligence from the Swiss Federal Institute of Technology in Lausanne and a PhD in Telecommunication Engineering from the University of Bologna.
Invited Talk 19
Building Fair and Inclusive AI: Harnessing Global Data Spaces for Collaborative Training
Mr. Chandra Challagonda
CEO, FIWARE Foundation
Abstract
The development of fair and inclusive AI is crucial for ensuring that technological advancements benefit all of society. Central to this effort is the use of global data spaces, which enable collaborative training of AI models with diverse and representative datasets. Data Spaces are at the forefront of this initiative, providing a framework that prioritizes data sovereignty, interoperability, and security while fostering cross-border data sharing.
Data provenance plays a critical role in building trust and accountability in AI systems. By meticulously tracking the origins, lineage, and quality of data, we ensure that AI models are trained on accurate and unbiased datasets, reducing the risk of perpetuating inequalities. Data Spaces, with their emphasis on transparency and ethical standards, support the creation of AI that is not only powerful but also just and inclusive.
Through international cooperation and the pooling of diverse data, these data spaces facilitate the creation of AI systems that are sensitive to the needs of different populations, addressing global challenges with a localized understanding. By harnessing these principles, we can develop AI that respects privacy, promotes fairness, and is adaptable across various cultural contexts, thereby advancing a more equitable and inclusive digital landscape.
Data provenance plays a critical role in building trust and accountability in AI systems. By meticulously tracking the origins, lineage, and quality of data, we ensure that AI models are trained on accurate and unbiased datasets, reducing the risk of perpetuating inequalities. Data Spaces, with their emphasis on transparency and ethical standards, support the creation of AI that is not only powerful but also just and inclusive.
Through international cooperation and the pooling of diverse data, these data spaces facilitate the creation of AI systems that are sensitive to the needs of different populations, addressing global challenges with a localized understanding. By harnessing these principles, we can develop AI that respects privacy, promotes fairness, and is adaptable across various cultural contexts, thereby advancing a more equitable and inclusive digital landscape.
Biography
As the Vice President of Business Development at FIWARE Foundation, Mr. Chandra Challagonda is leading the strategic initiatives to foster global partnerships, driving member growth and engagement. With over a decade of experience in various roles within the FIWARE ecosystem, from platform architect to Board Member, he leverage his expertise to enhance the ecosystem’s impact, particularly in advancing fair and inclusive AI through European data spaces.
In addition to his work at FIWARE, he serve as an AI Transparency & Data Ethics Advisor at Qualetics Data Machines, where he guide the implementation of governance policies to ensure transparency and compliance in AI and data usage. He also contribute to the AI community as a Steering Council Member of Open Constitution AI, where he work to establish frameworks that promote transparency and fairness in AI development. His earlier roles include leadership positions in Nokia, where he led the launch of groundbreaking technologies like "PureView," and entrepreneurial ventures, such as founding and leading APInf and Sampo Software to success.
In addition to his work at FIWARE, he serve as an AI Transparency & Data Ethics Advisor at Qualetics Data Machines, where he guide the implementation of governance policies to ensure transparency and compliance in AI and data usage. He also contribute to the AI community as a Steering Council Member of Open Constitution AI, where he work to establish frameworks that promote transparency and fairness in AI development. His earlier roles include leadership positions in Nokia, where he led the launch of groundbreaking technologies like "PureView," and entrepreneurial ventures, such as founding and leading APInf and Sampo Software to success.
Invited Talk 20
Augmented Cities, Enhanced Capabilities: Improving QoL through Digital Twins
Dr. Jeonghyeok Park
General Manager, K-water(Korea Water Resources Corporation)
Abstract
As cities become increasingly complex in both their physical and functional structures, the range of urban challenges also diversifies, necessitating more sophisticated solutions. A smart city represents an urban environment that leverages ICT technologies to solve these issues while enhancing the quality of life for its residents. Digital twins, in particular, have emerged as a powerful tool, providing comprehensive insights by integrating real-time data with spatial representations. However, unlike in industrial sectors, the use of digital twins in urban contexts is often limited to 3D mockups, with different versions created based on the perspective of individual developers. To fully realize the potential of digital twins in cities, it is crucial to incorporate geo-coding with structured data and non-structured data, ensure the accuracy of 3D models, and maintain openness and up-to-date data. Based on the experience of South Korea's Busan Smart City, a national pilot city project, this discussion will outline the key factors to consider for the effective implementation of digital twins in smart cities, organized according to the "5W1H" framework.
Biography
Dr. Park has been trained and has practiced as an urban hydrologist, urban planner, and urban engineer. He received a Ph.D. in Urban Engineering from Chungbuk National University. He also taught at Chungbuk National University as a Teaching Fellow in Korea for many years. He joined K-water in 2016 as a principal researcher and is involved in the design of Busan Eco Delta City and Busan Eco Delta Smart City in South Korea. He is also contributing to K-water’s future-proof city strategy and implementation plan. Dr. Park provides professional consultation for central and local governments in the areas of urban development and digital transformation for smart cities. In particular, he has comprehensive expertise in the practical aspects of digital twins and data platforms for cities. Currently, as the Head of NexGen Cities Center at K-water, he is working with the Ministry of Environment to promote the expansion of carbon-neutral cities in Korea. In addition, he is dedicated to fostering urban water circulation from an urban-architectural integrated planning and to creating a smart city industrial ecosystem based on public-private partnerships.